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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DS6TveDyVeutEWFg86AGdS","type":"tool_result","content":"__init__.py\n__pycache__\naccounts.py\nair.py\nauth.py\nbuilding.py\ncommerces.py\nconnectors\ncoutreel.py\ndb.py\ndedup.py\nenvironment.py\nfairvalue.py\nfixtures.py\ngaz.py\ngeocode.py\nhistory.py\nhiver.py\nhubfav.py\nhubprofile.py\nhydro.py\nimgcheck.py\ningest.py\ninondation.py\nkapdf.py\nkascores.py\nmanagers.py\nmarketstats.py\nnormalize.py\npdfgen.py\npoi.py\nprofile.py\nquality.py\nquartier.py\nrdl.py\nrecycled.py\nschema.py\nseo.py\nserpapi_client.py\nshortterm\nstatsdash.py\nstatsextra.py\ntal.py\ntextmine.py\nweb.py\n---CONN---\n__init__.py\n__pycache__\n_detailutil.py\n_livya.py\n_resilient.py\naalto.py\nacceslogis_gb.py\nagence_sherbrooke.py\nakelius.py\nalexcellence.py\nalias_appartements.py\nalouer_sherbrooke.py\napartments_com.py\napp_urbains.py\nappartements_rimouski.py\nascensio.py\natimco.py\natlas_immo.py\naula.py\naxia.py\nbarnes_quebec.py\nbase.py\nbeaudoin.py\nbeaulieu_groupe.py\nbestlife.py\nboardwalk.py\nbons_locataires.py\nboreal_abitibi.py\nbribourg.py\nbrigil.py\nbrio.py\nbrivia_1sp.py\nbrochu.py\ncap_gestion.py\ncapital_rdr.py\ncapreit.py\ncarat_immobilier.py\ncenturion.py\ncite_immobilier.py\ncogir.py\ncontraste.py\ncopley.py\ncosoltec.py\ncourtemanche.py\ncromwell.py\ndenux.py\ndesmarais.py\ndesroches.py\ndevcore.py\ndevimco.py\n---WEB---\n---RUN---\n#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n    python run.py sync [source ...]     # synchronise les annonces\n    python run.py watch [minutes]       # synchronise en boucle (défaut 60 min)\n    python run.py sync-ct [source ...]  # synchronise la section court terme\n    python run.py watch-ct [minutes]    # boucle court terme (défaut 360 min)\n    python run.py serve [port]          # démarre l'API + le frontend (défaut 8080)\n    python run.py record <source ...>   # enregistre les fixtures de test d'une source\n    python run.py geocode [n]           # géocode les annonces sans coordonnées (max n requêtes)\n    python run.py poi [n]               # commodités de proximité par immeuble (max n requêtes)\n    python run.py env [n]               # environnement OSM par tuile (socle des KA Scores)\n    python run.py kascores [all]        # calcule les KA Scores du parc (all = tout recalculer)\n    python run.py buildings             # passeport des immeubles (building_key + stats)\n    python run.py managers [budget_s]   # gestionnaires : fiche Google Maps + avis (SerpApi)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n    for line in _env.read_text().splitlines():\n        line = line.strip()\n        if line and not line.startswith(\"#\") and \"=\" in line:\n            k, _, v = line.partition(\"=\")\n            os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n    cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n    if cmd == \"sync\":\n        from louka import ingest","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"795b88f9-98f8-4cdb-8684-07a475b48c6a","timestamp":"2026-08-24T23:58:33.097Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\naccounts.py\nair.py\nauth.py\nbuilding.py\ncommerces.py\nconnectors\ncoutreel.py\ndb.py\ndedup.py\nenvironment.py\nfairvalue.py\nfixtures.py\ngaz.py\ngeocode.py\nhistory.py\nhiver.py\nhubfav.py\nhubprofile.py\nhydro.py\nimgcheck.py\ningest.py\ninondation.py\nkapdf.py\nkascores.py\nmanagers.py\nmarketstats.py\nnormalize.py\npdfgen.py\npoi.py\nprofile.py\nquality.py\nquartier.py\nrdl.py\nrecycled.py\nschema.py\nseo.py\nserpapi_client.py\nshortterm\nstatsdash.py\nstatsextra.py\ntal.py\ntextmine.py\nweb.py\n---CONN---\n__init__.py\n__pycache__\n_detailutil.py\n_livya.py\n_resilient.py\naalto.py\nacceslogis_gb.py\nagence_sherbrooke.py\nakelius.py\nalexcellence.py\nalias_appartements.py\nalouer_sherbrooke.py\napartments_com.py\napp_urbains.py\nappartements_rimouski.py\nascensio.py\natimco.py\natlas_immo.py\naula.py\naxia.py\nbarnes_quebec.py\nbase.py\nbeaudoin.py\nbeaulieu_groupe.py\nbestlife.py\nboardwalk.py\nbons_locataires.py\nboreal_abitibi.py\nbribourg.py\nbrigil.py\nbrio.py\nbrivia_1sp.py\nbrochu.py\ncap_gestion.py\ncapital_rdr.py\ncapreit.py\ncarat_immobilier.py\ncenturion.py\ncite_immobilier.py\ncogir.py\ncontraste.py\ncopley.py\ncosoltec.py\ncourtemanche.py\ncromwell.py\ndenux.py\ndesmarais.py\ndesroches.py\ndevcore.py\ndevimco.py\n---WEB---\n---RUN---\n#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n    python run.py sync [source ...]     # synchronise les annonces\n    python run.py watch [minutes]       # synchronise en boucle (défaut 60 min)\n    python run.py sync-ct [source ...]  # synchronise la section court terme\n    python run.py watch-ct [minutes]    # boucle court terme (défaut 360 min)\n    python run.py serve [port]          # démarre l'API + le frontend (défaut 8080)\n    python run.py record <source ...>   # enregistre les fixtures de test d'une source\n    python run.py geocode [n]           # géocode les annonces sans coordonnées (max n requêtes)\n    python run.py poi [n]               # commodités de proximité par immeuble (max n requêtes)\n    python run.py env [n]               # environnement OSM par tuile (socle des KA Scores)\n    python run.py kascores [all]        # calcule les KA Scores du parc (all = tout recalculer)\n    python run.py buildings             # passeport des immeubles (building_key + stats)\n    python run.py managers [budget_s]   # gestionnaires : fiche Google Maps + avis (SerpApi)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n    for line in _env.read_text().splitlines():\n        line = line.strip()\n        if line and not line.startswith(\"#\") and \"=\" in line:\n            k, _, v = line.partition(\"=\")\n            os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n    cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n    if cmd == \"sync\":\n        from louka import ingest","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UXthdugGUh3mSYaLREbyC1","type":"tool_result","content":"__init__.py\n__pycache__\nair.py\nauth.py\ncommerces.py\nconnectors\ndb.py\nfavorites.py\ngaz.py\ngeocode.py\nhubfav.py\nhubprofile.py\nhydro.py\nimgaudit.py\ningest.py\ninondation.py\nkapdf.py\nmortgage\nnormalize.py\npdffiche.py\npoi.py\nquality.py\nquartier.py\nschema.py\nseo.py\nstats.py\nstatsextra.py\nvraiprix.py\nvraiprix_local.py\nweb.py\n---CONN---\n__init__.py\n__pycache__\n_detailutil.py\n_resilient.py\nagenceimage.py\nagences_source_immo.py\navecuncourtier.py\nbarnes_quebec.py\nbase.py\nbhhs_quebec.py\ncentury21_agences.py\ncharisma.py\nduproprio.py\nduquesimms.py\nengel_volkers.py\nexp_quebec.py\nexpert_immobilier_pm.py\nfb_marketplace.py\nglmc.py\nguidehabitation.py\nimcha.py\nimmeuble_contact.py\nimmeubles_stuart.py\njsonld.py\nkijiji.py\nkw_distinction.py\nkw_distinction.py.bak-20260818\nkw_prestige.py\nkw_prestige.py.bak-20260818\nkw_urbain.py\nlespac.py\nlogisquebec.py\nm_immobilier.py\npmml.py\nprofusion.py\nproprio_direct.py\npublimaison.py\nrealtor_ca.py\nremax_agences.py\nremax_quebec.py\nroyal_lepage.py\nsothebys_quebec.py\nsourceimmo.py\nsutton.py\nubee.py\nvendirect.py\nvendre_ca.py\nvia_capitale.py\nvia_capitale_agences.py\n---WEB---\n---RUN---\n#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n    python run.py sync [source ...]     # synchronise les propriétés\n    python run.py watch [minutes]       # synchronise en boucle (défaut 60 min)\n    python run.py serve [port]          # démarre l'API + le frontend (défaut 8090)\n    python run.py list                  # liste les connecteurs enregistrés\n    python run.py geocode [n]           # géocode les annonces sans coordonnées (max n requêtes)\n    python run.py poi [n]               # commodités de proximité par immeuble (max n requêtes)\n    python run.py quartier [n]          # rattache chaque annonce à son aire de diffusion (DAUID)\n    python run.py mortgage-sync [slug…] # collecte les taux hypothécaires (toutes banques ou celles listées)\n    python run.py mortgage-watch [min]  # collecte en boucle (défaut IMMOKA_MORTGAGE_INTERVAL_MIN=180)\n    python run.py mortgage-status       # santé des providers de taux (OK/WARNING/ERROR)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n    for line in _env.read_text().splitlines():\n        line = line.strip()\n        if line and not line.startswith(\"#\") and \"=\" in line:\n            k, _, v = line.partition(\"=\")\n            os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n    cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n    if cmd == \"sync\":\n        from immoka import ingest\n        ingest.run(sys.argv[2:] or None)\n    elif cmd == \"watch\":","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2ce7bff2-92cd-4d71-adb6-a1c0a335a569","timestamp":"2026-08-24T23:58:34.729Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\nair.py\nauth.py\ncommerces.py\nconnectors\ndb.py\nfavorites.py\ngaz.py\ngeocode.py\nhubfav.py\nhubprofile.py\nhydro.py\nimgaudit.py\ningest.py\ninondation.py\nkapdf.py\nmortgage\nnormalize.py\npdffiche.py\npoi.py\nquality.py\nquartier.py\nschema.py\nseo.py\nstats.py\nstatsextra.py\nvraiprix.py\nvraiprix_local.py\nweb.py\n---CONN---\n__init__.py\n__pycache__\n_detailutil.py\n_resilient.py\nagenceimage.py\nagences_source_immo.py\navecuncourtier.py\nbarnes_quebec.py\nbase.py\nbhhs_quebec.py\ncentury21_agences.py\ncharisma.py\nduproprio.py\nduquesimms.py\nengel_volkers.py\nexp_quebec.py\nexpert_immobilier_pm.py\nfb_marketplace.py\nglmc.py\nguidehabitation.py\nimcha.py\nimmeuble_contact.py\nimmeubles_stuart.py\njsonld.py\nkijiji.py\nkw_distinction.py\nkw_distinction.py.bak-20260818\nkw_prestige.py\nkw_prestige.py.bak-20260818\nkw_urbain.py\nlespac.py\nlogisquebec.py\nm_immobilier.py\npmml.py\nprofusion.py\nproprio_direct.py\npublimaison.py\nrealtor_ca.py\nremax_agences.py\nremax_quebec.py\nroyal_lepage.py\nsothebys_quebec.py\nsourceimmo.py\nsutton.py\nubee.py\nvendirect.py\nvendre_ca.py\nvia_capitale.py\nvia_capitale_agences.py\n---WEB---\n---RUN---\n#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n    python run.py sync [source ...]     # synchronise les propriétés\n    python run.py watch [minutes]       # synchronise en boucle (défaut 60 min)\n    python run.py serve [port]          # démarre l'API + le frontend (défaut 8090)\n    python run.py list                  # liste les connecteurs enregistrés\n    python run.py geocode [n]           # géocode les annonces sans coordonnées (max n requêtes)\n    python run.py poi [n]               # commodités de proximité par immeuble (max n requêtes)\n    python run.py quartier [n]          # rattache chaque annonce à son aire de diffusion (DAUID)\n    python run.py mortgage-sync [slug…] # collecte les taux hypothécaires (toutes banques ou celles listées)\n    python run.py mortgage-watch [min]  # collecte en boucle (défaut IMMOKA_MORTGAGE_INTERVAL_MIN=180)\n    python run.py mortgage-status       # santé des providers de taux (OK/WARNING/ERROR)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n    for line in _env.read_text().splitlines():\n        line = line.strip()\n        if line and not line.startswith(\"#\") and \"=\" in line:\n            k, _, v = line.partition(\"=\")\n            os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n    cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n    if cmd == \"sync\":\n        from immoka import ingest\n        ingest.run(sys.argv[2:] or None)\n    elif cmd == \"watch\":","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"0efce587-0255-4cec-b64b-ce4d2ec7dbb2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"b873276c-92e7-436a-bfe0-adbdbd794ca0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"94519d71-082e-496d-ae8a-20dd72f62435","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"b01ccd35-a060-4811-a6f3-cccd1c9f8121","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUqzRGB848BRpHxxbYd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3324,"cache_read_input_tokens":41803,"cache_creation":{"ephemeral_5m_input_tokens":3324,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f39d1ebd-ad00-451c-bc87-bb4c29818b1a","request_id":"req_011CeNUqxuV3iYwoYiGJkbqz"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUqzRGB848BRpHxxbYd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3324,"cache_read_input_tokens":41803,"cache_creation":{"ephemeral_5m_input_tokens":3324,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"707761b8-a3c1-4971-b9a5-a2fb28c1dab4","request_id":"req_011CeNUqxuV3iYwoYiGJkbqz"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUqzRGB848BRpHxxbYd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GdLGhhvNohoh9g1wbMUM1j","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && ls frontend | head -40 && echo \"---ROUTES---\" && grep -n \"@app\\.\\|@router\\.\\|add_api_route\\|APIRouter\" louka/web.py | head -60 && echo \"---WEBSIZE---\" && wc -l louka/web.py louka/seo.py louka/managers.py'","description":"List lou-ka frontend and web routes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3324,"cache_read_input_tokens":41803,"cache_creation":{"ephemeral_5m_input_tokens":3324,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"74773cde-975b-408f-b498-5215a3a98102","request_id":"req_011CeNUqxuV3iYwoYiGJkbqz"}}
{"type":"permission_request","requestId":"dc24a18bdada35a0","tool":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && ls frontend | head -40 && echo \"---ROUTES---\" && grep -n \"@app\\.\\|@router\\.\\|add_api_route\\|APIRouter\" louka/web.py | head -60 && echo \"---WEBSIZE---\" && wc -l louka/web.py louka/seo.py louka/managers.py'","description":"List lou-ka frontend and web routes"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUqzRGB848BRpHxxbYd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KsTwpybPxgCjCcYzQrvEGT","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls frontend | head -40 && echo \"---ROUTES---\" && grep -n \"@app\\.\\|@router\\.\\|APIRouter\" immoka/web.py | head -60 && echo \"---WEBSIZE---\" && wc -l immoka/web.py immoka/seo.py'","description":"List immo-ka frontend and web routes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3324,"cache_read_input_tokens":41803,"cache_creation":{"ephemeral_5m_input_tokens":3324,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"320459cd-76f2-410e-beaa-d3aedf7d857a","request_id":"req_011CeNUqxuV3iYwoYiGJkbqz"}}
{"type":"notice","text":"🔓 Tout autoriser activé — la tâche ira au bout sans autre demande de permission."}
{"type":"permission_resolved","requestId":"dc24a18bdada35a0","allow":true,"always":false}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GdLGhhvNohoh9g1wbMUM1j","type":"tool_result","content":"dist\nindex.html\nnode_modules\npackage-lock.json\npackage.json\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvite.config.ts\n---ROUTES---\n80:@app.get(\"/api/listings\")\n161:@app.get(\"/api/listings.geojson\")\n318:@app.get(\"/api/search\")\n467:@app.get(\"/api/img\")\n511:@app.get(\"/api/listings/{uid}/pdf\")\n524:@app.get(\"/api/stats/rapport.pdf\")\n534:@app.get(\"/api/fairvalue/{uid}\")\n545:@app.get(\"/api/hydro\")\n557:@app.get(\"/api/commerces\")\n564:@app.get(\"/api/air\")\n574:@app.get(\"/api/gaz\")\n581:@app.get(\"/api/inondation\")\n592:@app.get(\"/api/rdl\")\n604:@app.get(\"/api/tal\")\n613:@app.get(\"/api/listings/{uid}/historique\")\n624:@app.get(\"/api/listings/{uid}/cout-reel\")\n635:@app.get(\"/api/listings/{uid}/recyclees\")\n643:@app.get(\"/api/immeuble\")\n653:@app.get(\"/api/managers/{source_id}\")\n664:@app.get(\"/api/listings/{uid}\")\n723:@app.get(\"/api/kascores/stats\")\n730:@app.get(\"/api/facets\")\n762:@app.get(\"/api/sources\")\n792:@app.get(\"/api/stats\")\n837:@app.get(\"/api/stats/detailed\")\n848:@app.get(\"/api/stats/dashboard\")\n859:@app.get(\"/api/stats/report\")\n885:@app.get(\"/api/stats/catalog\")\n899:@app.post(\"/api/stats/report/custom\")\n930:@app.post(\"/api/sync\")\n951:    @app.get(\"/doc\")\n955:    @app.get(\"/doc/\")\n959:    @app.middleware(\"http\")\n980:    @app.get(\"/{full_path:path}\")\n---WEBSIZE---\n     990 louka/web.py\n     887 louka/seo.py\n     529 louka/managers.py\n    2406 total","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1406bd77-a3b5-43c7-83b2-f829040a8d50","timestamp":"2026-08-24T23:58:50.901Z","tool_use_result":{"stdout":"dist\nindex.html\nnode_modules\npackage-lock.json\npackage.json\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvite.config.ts\n---ROUTES---\n80:@app.get(\"/api/listings\")\n161:@app.get(\"/api/listings.geojson\")\n318:@app.get(\"/api/search\")\n467:@app.get(\"/api/img\")\n511:@app.get(\"/api/listings/{uid}/pdf\")\n524:@app.get(\"/api/stats/rapport.pdf\")\n534:@app.get(\"/api/fairvalue/{uid}\")\n545:@app.get(\"/api/hydro\")\n557:@app.get(\"/api/commerces\")\n564:@app.get(\"/api/air\")\n574:@app.get(\"/api/gaz\")\n581:@app.get(\"/api/inondation\")\n592:@app.get(\"/api/rdl\")\n604:@app.get(\"/api/tal\")\n613:@app.get(\"/api/listings/{uid}/historique\")\n624:@app.get(\"/api/listings/{uid}/cout-reel\")\n635:@app.get(\"/api/listings/{uid}/recyclees\")\n643:@app.get(\"/api/immeuble\")\n653:@app.get(\"/api/managers/{source_id}\")\n664:@app.get(\"/api/listings/{uid}\")\n723:@app.get(\"/api/kascores/stats\")\n730:@app.get(\"/api/facets\")\n762:@app.get(\"/api/sources\")\n792:@app.get(\"/api/stats\")\n837:@app.get(\"/api/stats/detailed\")\n848:@app.get(\"/api/stats/dashboard\")\n859:@app.get(\"/api/stats/report\")\n885:@app.get(\"/api/stats/catalog\")\n899:@app.post(\"/api/stats/report/custom\")\n930:@app.post(\"/api/sync\")\n951:    @app.get(\"/doc\")\n955:    @app.get(\"/doc/\")\n959:    @app.middleware(\"http\")\n980:    @app.get(\"/{full_path:path}\")\n---WEBSIZE---\n     990 louka/web.py\n     887 louka/seo.py\n     529 louka/managers.py\n    2406 total","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls frontend | head -40 && echo \"---ROUTES---\" && grep -n \"@app\\.\\|@router\\.\\|APIRouter\" immoka/web.py | head -60 && echo \"---WEBSIZE---\" && wc -l immoka/web.py immoka/seo.py'","description":"List immo-ka frontend and web routes"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KsTwpybPxgCjCcYzQrvEGT","type":"tool_result","content":"dist\nindex.html\nnode_modules\npackage-lock.json\npackage.json\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvite.config.ts\n---ROUTES---\n80:@app.get(\"/api/listings\")\n140:@app.get(\"/api/hydro\")\n152:@app.get(\"/api/commerces\")\n159:@app.get(\"/api/air\")\n169:@app.get(\"/api/gaz\")\n176:@app.get(\"/api/inondation\")\n187:@app.get(\"/api/listings/{uid}\")\n218:@app.get(\"/api/listings/{uid}/pdf\")\n234:@app.get(\"/api/listings.geojson\")\n334:@app.get(\"/api/facets\")\n360:@app.get(\"/api/sources\")\n394:@app.get(\"/api/agencies\")\n430:@app.get(\"/api/stats\")\n504:@app.get(\"/api/stats/dashboard\")\n514:@app.get(\"/api/stats/report\")\n540:@app.get(\"/api/stats/catalog\")\n553:@app.post(\"/api/stats/report/custom\")\n581:@app.post(\"/api/sync\")\n592:@app.get(\"/robots.txt\")\n597:@app.get(\"/sitemap.xml\")\n602:@app.get(\"/sitemaps/{name}\")\n607:@app.get(\"/api/seo/resolve\")\n622:    @app.get(\"/doc\", include_in_schema=False)\n631:    @app.get(\"/{full_path:path}\")\n---WEBSIZE---\n     643 immoka/web.py\n     814 immoka/seo.py\n    1457 total","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7a30b15a-cd1f-49a1-a06d-804b8fa84006","timestamp":"2026-08-24T23:58:51.035Z","tool_use_result":{"stdout":"dist\nindex.html\nnode_modules\npackage-lock.json\npackage.json\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvite.config.ts\n---ROUTES---\n80:@app.get(\"/api/listings\")\n140:@app.get(\"/api/hydro\")\n152:@app.get(\"/api/commerces\")\n159:@app.get(\"/api/air\")\n169:@app.get(\"/api/gaz\")\n176:@app.get(\"/api/inondation\")\n187:@app.get(\"/api/listings/{uid}\")\n218:@app.get(\"/api/listings/{uid}/pdf\")\n234:@app.get(\"/api/listings.geojson\")\n334:@app.get(\"/api/facets\")\n360:@app.get(\"/api/sources\")\n394:@app.get(\"/api/agencies\")\n430:@app.get(\"/api/stats\")\n504:@app.get(\"/api/stats/dashboard\")\n514:@app.get(\"/api/stats/report\")\n540:@app.get(\"/api/stats/catalog\")\n553:@app.post(\"/api/stats/report/custom\")\n581:@app.post(\"/api/sync\")\n592:@app.get(\"/robots.txt\")\n597:@app.get(\"/sitemap.xml\")\n602:@app.get(\"/sitemaps/{name}\")\n607:@app.get(\"/api/seo/resolve\")\n622:    @app.get(\"/doc\", include_in_schema=False)\n631:    @app.get(\"/{full_path:path}\")\n---WEBSIZE---\n     643 immoka/web.py\n     814 immoka/seo.py\n    1457 total","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"dd5079a5-cdef-469f-bce8-763f022ec7e9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"e95055e3-5023-44ce-81d5-30b443f271f9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"ba714dda-2142-4220-bdad-0d8d969e4b07","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"683e7ed3-c2ec-4796-9943-a6e18fd8c294","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"18549170-78e0-4a9e-aea1-2d7c1af02e90","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUsC8zM9NJnp4pfTxLM","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2130,"cache_read_input_tokens":45127,"cache_creation":{"ephemeral_5m_input_tokens":2130,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"242e852a-24f6-49b4-8971-b7826bb10d40","request_id":"req_011CeNUsAdxBwTtcjTaFTWyd"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUsC8zM9NJnp4pfTxLM","type":"message","role":"assistant","content":[{"type":"text","text":"Frontend Vite/React (SPA + SSR SEO via `seo.py`). Je regarde la structure du frontend et le fonctionnement des pages/SEO pour répliquer le pattern proprement."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2130,"cache_read_input_tokens":45127,"cache_creation":{"ephemeral_5m_input_tokens":2130,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b3c8237c-3c65-40a8-a0d7-651706f59dd3","request_id":"req_011CeNUsAdxBwTtcjTaFTWyd"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUsC8zM9NJnp4pfTxLM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TmRh2qGZgAambGi2KpMJ7Q","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka/frontend && ls src src/pages 2>/dev/null | head -60 && echo \"---ROUTER---\" && grep -rn \"path=\\|createBrowserRouter\\|Route \" src/App.tsx src/main.tsx 2>/dev/null | head -40'","description":"Explore lou-ka frontend src and router"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2130,"cache_read_input_tokens":45127,"cache_creation":{"ephemeral_5m_input_tokens":2130,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e393b160-d886-4bac-bce8-4fa86182a457","request_id":"req_011CeNUsAdxBwTtcjTaFTWyd"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka/frontend && ls src src/pages 2>/dev/null | head -60 && echo \"---ROUTER---\" && grep -rn \"path=\\|createBrowserRouter\\|Route \" src/App.tsx src/main.tsx 2>/dev/null | head -40'","description":"Explore lou-ka frontend src and router"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TmRh2qGZgAambGi2KpMJ7Q","type":"tool_result","content":"src:\nApp.tsx\nLogo.tsx\naccount.tsx\napi.ts\ncomponents\nctapi.ts\nka\nkamaps\nmain.tsx\npages\nsearch\nstyles.css\nvite-env.d.ts\n\nsrc/pages:\nBienvenue.tsx\nBot.tsx\nContact.tsx\nCourtTerme.tsx\nCourtTermeFiche.tsx\nFavoris.tsx\nGestion.tsx\nGestionPublic.tsx\nHome.tsx\nJusteValeur.tsx\nKaScores.tsx\nListing.tsx\nPasserelle.tsx\nPrivacy.tsx\nProfile.tsx\nPublicProfile.tsx\nSources.tsx\nStats.tsx\nTerms.tsx\nVille.tsx\n---ROUTER---\nsrc/App.tsx:352:          <Route path=\"/\" element={<Home />} />\nsrc/App.tsx:353:          <Route path=\"/logement/:uid\" element={<ListingPage />} />\nsrc/App.tsx:354:          <Route path=\"/court-terme\" element={<CourtTermePage />} />\nsrc/App.tsx:355:          <Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\nsrc/App.tsx:356:          <Route path=\"/villes\" element={<VillesPage />} />\nsrc/App.tsx:357:          <Route path=\"/ville/:ville\" element={<VillePage />} />\nsrc/App.tsx:358:          <Route path=\"/ville/:ville/:type\" element={<VillePage />} />\nsrc/App.tsx:359:          <Route path=\"/stats\" element={<StatsPage />} />\nsrc/App.tsx:360:          <Route path=\"/sources\" element={<SourcesPage />} />\nsrc/App.tsx:361:          <Route path=\"/contact\" element={<ContactPage />} />\nsrc/App.tsx:362:          <Route path=\"/confidentialite\" element={<PrivacyPage />} />\nsrc/App.tsx:363:          <Route path=\"/conditions\" element={<TermsPage />} />\nsrc/App.tsx:364:          <Route path=\"/profil\" element={<ProfilePage />} />\nsrc/App.tsx:365:          <Route path=\"/u/:kaId\" element={<PublicProfilePage />} />\nsrc/App.tsx:366:          <Route path=\"/bienvenue\" element={<BienvenuePage />} />\nsrc/App.tsx:367:          <Route path=\"/favoris\" element={<FavorisPage />} />\nsrc/App.tsx:368:          <Route path=\"/gestion\" element={<GestionPage />} />\nsrc/App.tsx:369:          <Route path=\"/g/:sourceId\" element={<GestionPublicPage />} />\nsrc/App.tsx:370:          <Route path=\"/passerelle/:uid\" element={<PasserellePage />} />\nsrc/App.tsx:371:          <Route path=\"/bot\" element={<BotPage />} />\nsrc/App.tsx:372:          <Route path=\"/juste-valeur\" element={<JusteValeurPage />} />\nsrc/App.tsx:373:          <Route path=\"/ka-scores\" element={<KaScoresPage />} />\nsrc/App.tsx:375:            path=\"*\"","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6b52ae27-1825-4a9c-9183-4b5eee7f5302","timestamp":"2026-08-24T23:59:03.996Z","tool_use_result":{"stdout":"src:\nApp.tsx\nLogo.tsx\naccount.tsx\napi.ts\ncomponents\nctapi.ts\nka\nkamaps\nmain.tsx\npages\nsearch\nstyles.css\nvite-env.d.ts\n\nsrc/pages:\nBienvenue.tsx\nBot.tsx\nContact.tsx\nCourtTerme.tsx\nCourtTermeFiche.tsx\nFavoris.tsx\nGestion.tsx\nGestionPublic.tsx\nHome.tsx\nJusteValeur.tsx\nKaScores.tsx\nListing.tsx\nPasserelle.tsx\nPrivacy.tsx\nProfile.tsx\nPublicProfile.tsx\nSources.tsx\nStats.tsx\nTerms.tsx\nVille.tsx\n---ROUTER---\nsrc/App.tsx:352:          <Route path=\"/\" element={<Home />} />\nsrc/App.tsx:353:          <Route path=\"/logement/:uid\" element={<ListingPage />} />\nsrc/App.tsx:354:          <Route path=\"/court-terme\" element={<CourtTermePage />} />\nsrc/App.tsx:355:          <Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\nsrc/App.tsx:356:          <Route path=\"/villes\" element={<VillesPage />} />\nsrc/App.tsx:357:          <Route path=\"/ville/:ville\" element={<VillePage />} />\nsrc/App.tsx:358:          <Route path=\"/ville/:ville/:type\" element={<VillePage />} />\nsrc/App.tsx:359:          <Route path=\"/stats\" element={<StatsPage />} />\nsrc/App.tsx:360:          <Route path=\"/sources\" element={<SourcesPage />} />\nsrc/App.tsx:361:          <Route path=\"/contact\" element={<ContactPage />} />\nsrc/App.tsx:362:          <Route path=\"/confidentialite\" element={<PrivacyPage />} />\nsrc/App.tsx:363:          <Route path=\"/conditions\" element={<TermsPage />} />\nsrc/App.tsx:364:          <Route path=\"/profil\" element={<ProfilePage />} />\nsrc/App.tsx:365:          <Route path=\"/u/:kaId\" element={<PublicProfilePage />} />\nsrc/App.tsx:366:          <Route path=\"/bienvenue\" element={<BienvenuePage />} />\nsrc/App.tsx:367:          <Route path=\"/favoris\" element={<FavorisPage />} />\nsrc/App.tsx:368:          <Route path=\"/gestion\" element={<GestionPage />} />\nsrc/App.tsx:369:          <Route path=\"/g/:sourceId\" element={<GestionPublicPage />} />\nsrc/App.tsx:370:          <Route path=\"/passerelle/:uid\" element={<PasserellePage />} />\nsrc/App.tsx:371:          <Route path=\"/bot\" element={<BotPage />} />\nsrc/App.tsx:372:          <Route path=\"/juste-valeur\" element={<JusteValeurPage />} />\nsrc/App.tsx:373:          <Route path=\"/ka-scores\" element={<KaScoresPage />} />\nsrc/App.tsx:375:            path=\"*\"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016VDNN8vRPj4TfP5M1o6PWM","type":"tool_result","content":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Sources.tsx : registre des sources agrégées — gestionnaires immobiliers\n//                     (long terme) et plateformes de location court terme\n// -----------------------------------------------------------------------------\nimport { useEffect, useState } from \"react\";\nimport { Source, fetchSources } from \"../api\";\nimport { CtSource, fetchCtSources } from \"../ctapi\";\n\nconst CT_CATEGORIES: Record<string, string> = {\n  internationale: \"Plateforme internationale\",\n  quebecoise: \"Plateforme québécoise\",\n  agence: \"Agence de location\",\n  gites: \"Gîtes et auberges\",\n  officielle: \"Source officielle\",\n  relogement: \"Relogement\",\n  \"petites-annonces\": \"Petites annonces\",\n  \"cas-particuliers\": \"Cas particulier\",\n};\n\nexport default function SourcesPage() {\n  const [sources, setSources] = useState<Source[] | null>(null);\n  const [ctSources, setCtSources] = useState<CtSource[] | null>(null);\n  const [error, setError] = useState<string | null>(null);\n\n  useEffect(() => {\n    fetchSources()\n      .then((r) => setSources(r.sources))\n      .catch((e) => setError(String(e)));\n    fetchCtSources()\n      .then((r) => setCtSources(r.sources))\n      .catch(() => setCtSources([]));\n  }, []);\n\n  const ctConnected = ctSources?.filter((s) => s.connector).length ?? 0;\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Registre — sources agrégées</span>\n      <h1>Sources agrégées</h1>\n      <p className=\"sub\">\n        Toutes les sources recensées par Lou-Ka : gestionnaires immobiliers\n        (logements au mois) et plateformes de location court terme (chalets et\n        hébergements à la nuit). Chaque source « connectée » est synchronisée\n        périodiquement par un connecteur dédié.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!sources && !error && <div className=\"notice\">Chargement…</div>}\n\n      {sources && (\n        <>\n        <h2 style={{ marginTop: 28 }}>Logements au mois — gestionnaires immobiliers</h2>\n        <p className=\"sub\">\n          Gestionnaires immobiliers de Québec, Lévis et du Grand Montréal; les\n          sources sans connecteur sont en attente.\n        </p>\n        <div className=\"src-wrap\">\n        <table className=\"src-table\">\n          <thead>\n            <tr>\n              <th>Gestionnaire</th>\n              <th>Secteurs</th>\n              <th>Statut</th>\n              <th style={{ textAlign: \"right\" }}>Annonces actives</th>\n              <th>Dernière synchro</th>\n            </tr>\n          </thead>\n          <tbody>\n            {sources.map((s) => (\n              <tr key={s.id}>\n                <td>\n                  <a href={s.url} target=\"_blank\" rel=\"noopener noreferrer\">{s.name}</a>\n                </td>\n                <td style={{ color: \"var(--ink-2)\", maxWidth: 380 }}>{s.sectors}</td>\n                <td>\n                  {s.connector ? (\n                    <span className=\"pill ok\">connecté</span>\n                  ) : (\n=====SEO=====\n6:# Principe : pour chaque route publique, le serveur renvoie le MÊME index.html\n31:router = APIRouter()\n33:ROOT = Path(__file__).resolve().parent.parent\n52:def slugify(text: str) -> str:\n64:def _slug_maps() -> tuple[dict[str, str], dict[str, str]]:\n84:def _shell() -> str:\n93:def _render(*, title: str, description: str, path: str, jsonld: list[dict] | None = None,\n138:def _e(t) -> str:\n142:def _fmt_price(p) -> str:\n146:def _price_ok(p) -> bool:\n150:def _iso(ts) -> str:\n156:def _listing_li(r) -> str:\n165:def _not_found(message: str, path: str) -> HTMLResponse:\n177:def _breadcrumb(items: list[tuple[str, str]]) -> dict:\n187:def _city_stats(con, city: str) -> dict:\n204:def _villes_rows(con, minimum: int = 1) -> list[dict]:\n217:def _parse_row(r) -> dict:\n227:@router.get(\"/api/seo/villes\")\n228:def api_villes():\n235:@router.get(\"/api/seo/ville/{slug}\")\n236:def api_ville(slug: str, type: str | None = None):\n263:@router.get(\"/robots.txt\", include_in_schema=False)\n264:def robots() -> PlainTextResponse:\n279:def _xml(content: str) -> Response:\n285:def _urlset(urls: list[tuple[str, str | None]]) -> Response:\n294:@router.get(\"/sitemap.xml\", include_in_schema=False)\n295:def sitemap_index():\n316:@router.get(\"/sitemap-pages.xml\", include_in_schema=False)\n317:def sitemap_pages():\n332:@router.get(\"/sitemap-villes.xml\", include_in_schema=False)\n333:def sitemap_villes():\n348:@router.get(\"/sitemap-annonces-{num}.xml\", include_in_schema=False)\n349:def sitemap_annonces(num: int):\n364:@router.get(\"/sitemap-ct-{num}.xml\", include_in_schema=False)\n365:def sitemap_ct(num: int):\n382:@router.get(\"/\", include_in_schema=False)\n383:def home_ssr():\n424:@router.get(\"/villes\", include_in_schema=False)\n425:def villes_ssr():\n452:def _ville_ssr(slug: str, type_slug: str | None = None):","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"265ebe13-2f1c-4e06-b342-d4936cb41c70","timestamp":"2026-08-24T23:59:11.336Z","tool_use_result":{"stdout":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Sources.tsx : registre des sources agrégées — gestionnaires immobiliers\n//                     (long terme) et plateformes de location court terme\n// -----------------------------------------------------------------------------\nimport { useEffect, useState } from \"react\";\nimport { Source, fetchSources } from \"../api\";\nimport { CtSource, fetchCtSources } from \"../ctapi\";\n\nconst CT_CATEGORIES: Record<string, string> = {\n  internationale: \"Plateforme internationale\",\n  quebecoise: \"Plateforme québécoise\",\n  agence: \"Agence de location\",\n  gites: \"Gîtes et auberges\",\n  officielle: \"Source officielle\",\n  relogement: \"Relogement\",\n  \"petites-annonces\": \"Petites annonces\",\n  \"cas-particuliers\": \"Cas particulier\",\n};\n\nexport default function SourcesPage() {\n  const [sources, setSources] = useState<Source[] | null>(null);\n  const [ctSources, setCtSources] = useState<CtSource[] | null>(null);\n  const [error, setError] = useState<string | null>(null);\n\n  useEffect(() => {\n    fetchSources()\n      .then((r) => setSources(r.sources))\n      .catch((e) => setError(String(e)));\n    fetchCtSources()\n      .then((r) => setCtSources(r.sources))\n      .catch(() => setCtSources([]));\n  }, []);\n\n  const ctConnected = ctSources?.filter((s) => s.connector).length ?? 0;\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Registre — sources agrégées</span>\n      <h1>Sources agrégées</h1>\n      <p className=\"sub\">\n        Toutes les sources recensées par Lou-Ka : gestionnaires immobiliers\n        (logements au mois) et plateformes de location court terme (chalets et\n        hébergements à la nuit). Chaque source « connectée » est synchronisée\n        périodiquement par un connecteur dédié.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!sources && !error && <div className=\"notice\">Chargement…</div>}\n\n      {sources && (\n        <>\n        <h2 style={{ marginTop: 28 }}>Logements au mois — gestionnaires immobiliers</h2>\n        <p className=\"sub\">\n          Gestionnaires immobiliers de Québec, Lévis et du Grand Montréal; les\n          sources sans connecteur sont en attente.\n        </p>\n        <div className=\"src-wrap\">\n        <table className=\"src-table\">\n          <thead>\n            <tr>\n              <th>Gestionnaire</th>\n              <th>Secteurs</th>\n              <th>Statut</th>\n              <th style={{ textAlign: \"right\" }}>Annonces actives</th>\n              <th>Dernière synchro</th>\n            </tr>\n          </thead>\n          <tbody>\n            {sources.map((s) => (\n              <tr key={s.id}>\n                <td>\n                  <a href={s.url} target=\"_blank\" rel=\"noopener noreferrer\">{s.name}</a>\n                </td>\n                <td style={{ color: \"var(--ink-2)\", maxWidth: 380 }}>{s.sectors}</td>\n                <td>\n                  {s.connector ? (\n                    <span className=\"pill ok\">connecté</span>\n                  ) : (\n=====SEO=====\n6:# Principe : pour chaque route publique, le serveur renvoie le MÊME index.html\n31:router = APIRouter()\n33:ROOT = Path(__file__).resolve().parent.parent\n52:def slugify(text: str) -> str:\n64:def _slug_maps() -> tuple[dict[str, str], dict[str, str]]:\n84:def _shell() -> str:\n93:def _render(*, title: str, description: str, path: str, jsonld: list[dict] | None = None,\n138:def _e(t) -> str:\n142:def _fmt_price(p) -> str:\n146:def _price_ok(p) -> bool:\n150:def _iso(ts) -> str:\n156:def _listing_li(r) -> str:\n165:def _not_found(message: str, path: str) -> HTMLResponse:\n177:def _breadcrumb(items: list[tuple[str, str]]) -> dict:\n187:def _city_stats(con, city: str) -> dict:\n204:def _villes_rows(con, minimum: int = 1) -> list[dict]:\n217:def _parse_row(r) -> dict:\n227:@router.get(\"/api/seo/villes\")\n228:def api_villes():\n235:@router.get(\"/api/seo/ville/{slug}\")\n236:def api_ville(slug: str, type: str | None = None):\n263:@router.get(\"/robots.txt\", include_in_schema=False)\n264:def robots() -> PlainTextResponse:\n279:def _xml(content: str) -> Response:\n285:def _urlset(urls: list[tuple[str, str | None]]) -> Response:\n294:@router.get(\"/sitemap.xml\", include_in_schema=False)\n295:def sitemap_index():\n316:@router.get(\"/sitemap-pages.xml\", include_in_schema=False)\n317:def sitemap_pages():\n332:@router.get(\"/sitemap-villes.xml\", include_in_schema=False)\n333:def sitemap_villes():\n348:@router.get(\"/sitemap-annonces-{num}.xml\", include_in_schema=False)\n349:def sitemap_annonces(num: int):\n364:@router.get(\"/sitemap-ct-{num}.xml\", include_in_schema=False)\n365:def sitemap_ct(num: int):\n382:@router.get(\"/\", include_in_schema=False)\n383:def home_ssr():\n424:@router.get(\"/villes\", include_in_schema=False)\n425:def villes_ssr():\n452:def _ville_ssr(slug: str, type_slug: str | None = None):","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"84,140p\" louka/seo.py && sed -n \"316,345p\" louka/seo.py && sed -n \"424,455p\" louka/seo.py && echo \"===NAV===\" && grep -n \"villes\\|sources\\|NavLink\\|nav\\b\" frontend/src/App.tsx | head -30'","description":"Read lou-ka seo.py render/sitemap and App nav"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P6UkfqyLUw3YwcxPrwffCo","type":"tool_result","content":"def _shell() -> str:\n    f = FRONTEND_DIST / \"index.html\"\n    mtime = f.stat().st_mtime\n    if mtime != _shell_cache[\"mtime\"]:\n        _shell_cache[\"html\"] = f.read_text(encoding=\"utf-8\")\n        _shell_cache[\"mtime\"] = mtime\n    return _shell_cache[\"html\"]\n\n\ndef _render(*, title: str, description: str, path: str, jsonld: list[dict] | None = None,\n            body: str = \"\", og_image: str | None = None, status: int = 200) -> HTMLResponse:\n    \"\"\"index.html du build + head unique + contenu HTML dans #root.\"\"\"\n    canonical = BASE_URL + path\n    page = _shell()\n    page = re.sub(r\"<title>.*?</title>\",\n                  lambda _m: f\"<title>{html.escape(title)}</title>\", page, count=1, flags=re.S)\n    page = re.sub(r'<meta name=\"description\"[^>]*/>',\n                  lambda _m: f'<meta name=\"description\" content=\"{html.escape(description, quote=True)}\" />',\n                  page, count=1)\n    # retire du gabarit statique les meta og:image/twitter (re-injectées ci-dessous)\n    page = re.sub(r'\\s*<meta (?:property=\"og:image[^\"]*\"|name=\"twitter:(?:card|image)\")[^>]*/>', \"\", page)\n    extras = [\n        f'<link rel=\"canonical\" href=\"{canonical}\" />',\n        f'<link rel=\"alternate\" hreflang=\"fr-ca\" href=\"{canonical}\" />',\n        f'<link rel=\"alternate\" hreflang=\"x-default\" href=\"{canonical}\" />',\n        f'<meta property=\"og:site_name\" content=\"{SITE_NAME}\" />',\n        '<meta property=\"og:locale\" content=\"fr_CA\" />',\n        '<meta property=\"og:type\" content=\"website\" />',\n        f'<meta property=\"og:title\" content=\"{html.escape(title, quote=True)}\" />',\n        f'<meta property=\"og:description\" content=\"{html.escape(description, quote=True)}\" />',\n        f'<meta property=\"og:url\" content=\"{canonical}\" />',\n        '<meta name=\"twitter:card\" content=\"summary_large_image\" />',\n        f'<meta name=\"twitter:title\" content=\"{html.escape(title, quote=True)}\" />',\n    ]\n    img = og_image or (BASE_URL + \"/og.png\")\n    extras.append(f'<meta property=\"og:image\" content=\"{html.escape(img, quote=True)}\" />')\n    if not og_image:\n        extras.append('<meta property=\"og:image:width\" content=\"1200\" />')\n        extras.append('<meta property=\"og:image:height\" content=\"630\" />')\n    extras.append(f'<meta name=\"twitter:image\" content=\"{html.escape(img, quote=True)}\" />')\n    for obj in (jsonld or []):\n        blob = json.dumps(obj, ensure_ascii=False).replace(\"</\", \"<\\\\/\")\n        extras.append(f'<script type=\"application/ld+json\">{blob}</script>')\n    page = page.replace(\"</head>\", \"  \" + \"\\n  \".join(extras) + \"\\n</head>\", 1)\n    if body:\n        seo_div = ('<div style=\"max-width:960px;margin:0 auto;padding:24px;'\n                   'font-family:system-ui,sans-serif;color:#141814\">' + body\n                   + '<p>Lou-Ka — Un service <a href=\"https://www.groupe-ka.com\">Groupe KA</a></p>'\n                   + \"</div>\")\n        page = page.replace('<div id=\"root\">', '<div id=\"root\">' + seo_div, 1)\n    return HTMLResponse(page, status_code=status,\n                        headers={\"Cache-Control\": \"no-cache\"})\n\n\ndef _e(t) -> str:\n    return html.escape(str(t or \"\"))\n\n@router.get(\"/sitemap-pages.xml\", include_in_schema=False)\ndef sitemap_pages():\n    urls: list[tuple[str, str | None]] = [\n        (f\"{BASE_URL}/\", None), (f\"{BASE_URL}/villes\", None),\n        (f\"{BASE_URL}/court-terme\", None),\n        (f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\n        (f\"{BASE_URL}/confidentialite\", None), (f\"{BASE_URL}/conditions\", None)]\n    con = db.connect()\n    for r in con.execute(\n            \"\"\"SELECT source, MAX(updated_at) last FROM listings\n               WHERE active=1 GROUP BY source\"\"\"):\n        urls.append((f\"{BASE_URL}/g/{r['source']}\", _iso(r[\"last\"])))\n    con.close()\n    return _urlset(urls)\n\n\n@router.get(\"/sitemap-villes.xml\", include_in_schema=False)\ndef sitemap_villes():\n    con = db.connect()\n    urls: list[tuple[str, str | None]] = []\n    for v in _villes_rows(con, MIN_LISTINGS_PAGE):\n        urls.append((f\"{BASE_URL}/ville/{v['slug']}\", _iso(v[\"last\"])))\n    for r in con.execute(\n            f\"\"\"SELECT city, unit_type, COUNT(*) n, MAX(updated_at) last\n                FROM listings WHERE active=1 AND city<>'' AND unit_type<>''\n                GROUP BY city, unit_type HAVING n>=?\"\"\", (MIN_LISTINGS_PAGE,)):\n        urls.append((f\"{BASE_URL}/ville/{slugify(r['city'])}/{slugify(r['unit_type'])}\",\n                     _iso(r[\"last\"])))\n    con.close()\n    return _urlset(urls)\n@router.get(\"/villes\", include_in_schema=False)\ndef villes_ssr():\n    con = db.connect()\n    villes = _villes_rows(con)\n    con.close()\n    total = sum(v[\"n\"] for v in villes)\n    title = f\"Logements à louer par ville au Québec ({len(villes)} villes) | Lou-Ka\"\n    description = (f\"Toutes les villes du Québec où Lou-Ka recense des logements à louer : \"\n                   f\"{total:,} annonces dans {len(villes)} villes, avec loyer moyen et \"\n                   \"nombre d'appartements disponibles par ville.\").replace(\",\", \" \")\n    body = (f\"<h1>Logements à louer par ville — {len(villes)} villes au Québec</h1><ul>\"\n            + \"\".join(f'<li><a href=\"/ville/{v[\"slug\"]}\">{_e(v[\"city\"])}</a> — {v[\"n\"]} annonces'\n                      + (f\", loyer moyen {_fmt_price(v['avg_price'])}\" if v[\"avg_price\"] else \"\")\n                      + \"</li>\" for v in villes)\n            + \"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Villes\", \"/villes\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Logements à louer par ville au Québec\",\n               \"numberOfItems\": len(villes),\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1,\n                    \"name\": f\"Logements à louer à {v['city']}\",\n                    \"url\": f\"{BASE_URL}/ville/{v['slug']}\"}\n                   for i, v in enumerate(villes[:100])]}]\n    return _render(title=title, description=description, path=\"/villes\",\n                   jsonld=jsonld, body=body)\n\n\ndef _ville_ssr(slug: str, type_slug: str | None = None):\n    cities, types = _slug_maps()\n    path = f\"/ville/{slug}\" + (f\"/{type_slug}\" if type_slug else \"\")\n    city = cities.get(slug)\n===NAV===\n8:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n49:        registerSourceNames(src.sources);\n58:        for (const s of facets.sources.slice(0, 10))\n84:  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\n159:            <NavLink\n166:            </NavLink>\n168:              <NavLink\n175:              </NavLink>\n178:              <NavLink\n185:              </NavLink>\n188:              <NavLink\n195:              </NavLink>\n225:          <NavLink to=\"/\" className=\"brand\" aria-label=\"Lou-Ka — accueil\">\n229:          </NavLink>\n231:          <nav className=\"nav\" aria-label=\"Navigation principale\">\n232:            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n234:            </NavLink>\n235:            <NavLink to=\"/court-terme\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n237:            </NavLink>\n238:            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n240:            </NavLink>\n241:            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n243:            </NavLink>\n244:          </nav>\n259:            <NavLink\n271:            </NavLink>\n298:          <NavLink to=\"/\">Logements</NavLink>\n299:          <NavLink to=\"/court-terme\">Court terme</NavLink>\n300:          <NavLink to=\"/villes\">Villes</NavLink>\n301:          <NavLink to=\"/stats\">Stats</NavLink>","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"fc7ed615-315a-4fba-ad3f-dfbe08f73c34","timestamp":"2026-08-24T23:59:49.357Z","tool_use_result":{"stdout":"def _shell() -> str:\n    f = FRONTEND_DIST / \"index.html\"\n    mtime = f.stat().st_mtime\n    if mtime != _shell_cache[\"mtime\"]:\n        _shell_cache[\"html\"] = f.read_text(encoding=\"utf-8\")\n        _shell_cache[\"mtime\"] = mtime\n    return _shell_cache[\"html\"]\n\n\ndef _render(*, title: str, description: str, path: str, jsonld: list[dict] | None = None,\n            body: str = \"\", og_image: str | None = None, status: int = 200) -> HTMLResponse:\n    \"\"\"index.html du build + head unique + contenu HTML dans #root.\"\"\"\n    canonical = BASE_URL + path\n    page = _shell()\n    page = re.sub(r\"<title>.*?</title>\",\n                  lambda _m: f\"<title>{html.escape(title)}</title>\", page, count=1, flags=re.S)\n    page = re.sub(r'<meta name=\"description\"[^>]*/>',\n                  lambda _m: f'<meta name=\"description\" content=\"{html.escape(description, quote=True)}\" />',\n                  page, count=1)\n    # retire du gabarit statique les meta og:image/twitter (re-injectées ci-dessous)\n    page = re.sub(r'\\s*<meta (?:property=\"og:image[^\"]*\"|name=\"twitter:(?:card|image)\")[^>]*/>', \"\", page)\n    extras = [\n        f'<link rel=\"canonical\" href=\"{canonical}\" />',\n        f'<link rel=\"alternate\" hreflang=\"fr-ca\" href=\"{canonical}\" />',\n        f'<link rel=\"alternate\" hreflang=\"x-default\" href=\"{canonical}\" />',\n        f'<meta property=\"og:site_name\" content=\"{SITE_NAME}\" />',\n        '<meta property=\"og:locale\" content=\"fr_CA\" />',\n        '<meta property=\"og:type\" content=\"website\" />',\n        f'<meta property=\"og:title\" content=\"{html.escape(title, quote=True)}\" />',\n        f'<meta property=\"og:description\" content=\"{html.escape(description, quote=True)}\" />',\n        f'<meta property=\"og:url\" content=\"{canonical}\" />',\n        '<meta name=\"twitter:card\" content=\"summary_large_image\" />',\n        f'<meta name=\"twitter:title\" content=\"{html.escape(title, quote=True)}\" />',\n    ]\n    img = og_image or (BASE_URL + \"/og.png\")\n    extras.append(f'<meta property=\"og:image\" content=\"{html.escape(img, quote=True)}\" />')\n    if not og_image:\n        extras.append('<meta property=\"og:image:width\" content=\"1200\" />')\n        extras.append('<meta property=\"og:image:height\" content=\"630\" />')\n    extras.append(f'<meta name=\"twitter:image\" content=\"{html.escape(img, quote=True)}\" />')\n    for obj in (jsonld or []):\n        blob = json.dumps(obj, ensure_ascii=False).replace(\"</\", \"<\\\\/\")\n        extras.append(f'<script type=\"application/ld+json\">{blob}</script>')\n    page = page.replace(\"</head>\", \"  \" + \"\\n  \".join(extras) + \"\\n</head>\", 1)\n    if body:\n        seo_div = ('<div style=\"max-width:960px;margin:0 auto;padding:24px;'\n                   'font-family:system-ui,sans-serif;color:#141814\">' + body\n                   + '<p>Lou-Ka — Un service <a href=\"https://www.groupe-ka.com\">Groupe KA</a></p>'\n                   + \"</div>\")\n        page = page.replace('<div id=\"root\">', '<div id=\"root\">' + seo_div, 1)\n    return HTMLResponse(page, status_code=status,\n                        headers={\"Cache-Control\": \"no-cache\"})\n\n\ndef _e(t) -> str:\n    return html.escape(str(t or \"\"))\n\n@router.get(\"/sitemap-pages.xml\", include_in_schema=False)\ndef sitemap_pages():\n    urls: list[tuple[str, str | None]] = [\n        (f\"{BASE_URL}/\", None), (f\"{BASE_URL}/villes\", None),\n        (f\"{BASE_URL}/court-terme\", None),\n        (f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\n        (f\"{BASE_URL}/confidentialite\", None), (f\"{BASE_URL}/conditions\", None)]\n    con = db.connect()\n    for r in con.execute(\n            \"\"\"SELECT source, MAX(updated_at) last FROM listings\n               WHERE active=1 GROUP BY source\"\"\"):\n        urls.append((f\"{BASE_URL}/g/{r['source']}\", _iso(r[\"last\"])))\n    con.close()\n    return _urlset(urls)\n\n\n@router.get(\"/sitemap-villes.xml\", include_in_schema=False)\ndef sitemap_villes():\n    con = db.connect()\n    urls: list[tuple[str, str | None]] = []\n    for v in _villes_rows(con, MIN_LISTINGS_PAGE):\n        urls.append((f\"{BASE_URL}/ville/{v['slug']}\", _iso(v[\"last\"])))\n    for r in con.execute(\n            f\"\"\"SELECT city, unit_type, COUNT(*) n, MAX(updated_at) last\n                FROM listings WHERE active=1 AND city<>'' AND unit_type<>''\n                GROUP BY city, unit_type HAVING n>=?\"\"\", (MIN_LISTINGS_PAGE,)):\n        urls.append((f\"{BASE_URL}/ville/{slugify(r['city'])}/{slugify(r['unit_type'])}\",\n                     _iso(r[\"last\"])))\n    con.close()\n    return _urlset(urls)\n@router.get(\"/villes\", include_in_schema=False)\ndef villes_ssr():\n    con = db.connect()\n    villes = _villes_rows(con)\n    con.close()\n    total = sum(v[\"n\"] for v in villes)\n    title = f\"Logements à louer par ville au Québec ({len(villes)} villes) | Lou-Ka\"\n    description = (f\"Toutes les villes du Québec où Lou-Ka recense des logements à louer : \"\n                   f\"{total:,} annonces dans {len(villes)} villes, avec loyer moyen et \"\n                   \"nombre d'appartements disponibles par ville.\").replace(\",\", \" \")\n    body = (f\"<h1>Logements à louer par ville — {len(villes)} villes au Québec</h1><ul>\"\n            + \"\".join(f'<li><a href=\"/ville/{v[\"slug\"]}\">{_e(v[\"city\"])}</a> — {v[\"n\"]} annonces'\n                      + (f\", loyer moyen {_fmt_price(v['avg_price'])}\" if v[\"avg_price\"] else \"\")\n                      + \"</li>\" for v in villes)\n            + \"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Villes\", \"/villes\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Logements à louer par ville au Québec\",\n               \"numberOfItems\": len(villes),\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1,\n                    \"name\": f\"Logements à louer à {v['city']}\",\n                    \"url\": f\"{BASE_URL}/ville/{v['slug']}\"}\n                   for i, v in enumerate(villes[:100])]}]\n    return _render(title=title, description=description, path=\"/villes\",\n                   jsonld=jsonld, body=body)\n\n\ndef _ville_ssr(slug: str, type_slug: str | None = None):\n    cities, types = _slug_maps()\n    path = f\"/ville/{slug}\" + (f\"/{type_slug}\" if type_slug else \"\")\n    city = cities.get(slug)\n===NAV===\n8:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n49:        registerSourceNames(src.sources);\n58:        for (const s of facets.sources.slice(0, 10))\n84:  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\n159:            <NavLink\n166:            </NavLink>\n168:              <NavLink\n175:              </NavLink>\n178:              <NavLink\n185:              </NavLink>\n188:              <NavLink\n195:              </NavLink>\n225:          <NavLink to=\"/\" className=\"brand\" aria-label=\"Lou-Ka — accueil\">\n229:          </NavLink>\n231:          <nav className=\"nav\" aria-label=\"Navigation principale\">\n232:            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n234:            </NavLink>\n235:            <NavLink to=\"/court-terme\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n237:            </NavLink>\n238:            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n240:            </NavLink>\n241:            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n243:            </NavLink>\n244:          </nav>\n259:            <NavLink\n271:            </NavLink>\n298:          <NavLink to=\"/\">Logements</NavLink>\n299:          <NavLink to=\"/court-terme\">Court terme</NavLink>\n300:          <NavLink to=\"/villes\">Villes</NavLink>\n301:          <NavLink to=\"/stats\">Stats</NavLink>","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUvn1HM9KoNJRkhxNEf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SeAyGTFKEFsqSNDQwbnEPB","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls frontend/src/pages && grep -n \"Route path\" frontend/src/App.tsx | head -30 && echo \"===SEO===\" && grep -n \"def \\|sitemap\" immoka/seo.py | head -40'","description":"Explore immo-ka pages and seo.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2022,"cache_read_input_tokens":54102,"cache_creation":{"ephemeral_5m_input_tokens":2022,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a53d824b-dc15-4f36-9036-584f8896f179","request_id":"req_011CeNUvk2DpcuGWsWsBLe6d"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls frontend/src/pages && grep -n \"Route path\" frontend/src/App.tsx | head -30 && echo \"===SEO===\" && grep -n \"def \\|sitemap\" immoka/seo.py | head -40'","description":"Explore immo-ka pages and seo.py"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SeAyGTFKEFsqSNDQwbnEPB","type":"tool_result","content":"Category.tsx\nContact.tsx\nHome.tsx\nLegal.tsx\nListing.tsx\nProfil.tsx\nSources.tsx\nStats.tsx\nTaux.tsx\n221:          <Route path=\"/\" element={<Home />} />\n222:          <Route path=\"/propriete/:uid\" element={<ListingPage />} />\n225:          <Route path=\"/propriete/:uid/:slug\" element={<ListingPage />} />\n226:          <Route path=\"/stats\" element={<StatsPage />} />\n227:          <Route path=\"/taux-hypothecaires\" element={<TauxPage />} />\n228:          <Route path=\"/agences\" element={<SourcesPage />} />\n229:          <Route path=\"/contact\" element={<ContactPage />} />\n230:          <Route path=\"/profil\" element={<ProfilPage />} />\n231:          <Route path=\"/conditions\" element={<TermsPage />} />\n232:          <Route path=\"/confidentialite\" element={<PrivacyPage />} />\n===SEO===\n9:# remplace au montage). Il génère aussi robots.txt et les sitemaps.\n18:#   /robots.txt /sitemap.xml /sitemaps/*.xml\n52:def slugify(s: str) -> str:\n59:def listing_slug(row) -> str:\n68:def _esc(s) -> str:\n72:def _fmt_n(n) -> str:\n76:def _fmt_price(p) -> str:\n80:def _iso_date(ts) -> str:\n91:def _cached(key: str, ttl: float, build):\n105:def _build_registry() -> dict:\n143:def registry() -> dict:\n154:def _template() -> str:\n168:def _page(title: str, description: str, canonical: str, body: str,\n208:def fiche_href(uid: str, slug: str = \"\") -> str:\n213:def _item_li(r) -> str:\n229:def _agg_stats(con, cities: list[str] | None = None,\n252:def _pagination_html(base_path: str, page: int, pages: int) -> str:\n266:def _breadcrumb_ld(crumbs: list[tuple[str, str]]) -> dict:\n282:def _home_data() -> dict:\n283:    def build():\n298:def render_home() -> HTMLResponse:\n359:def _render_category(city_slug: str | None, type_slug: str | None,\n460:def render_listing(uid: str, slug: str | None) -> Response:\n632:def render_static(path: str) -> HTMLResponse:\n638:def render_404() -> HTMLResponse:\n646:# robots.txt et sitemaps\n652:def robots_txt() -> PlainTextResponse:\n658:        f\"\\nSitemap: {BASE_URL}/sitemap.xml\\n\")\n661:def _xml(urls: list[str]) -> Response:\n663:            '<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n668:def _url_el(loc: str, lastmod: str | None = None) -> str:\n673:def sitemap_index() -> Response:\n674:    def build():\n682:        maps = [f\"{BASE_URL}/sitemaps/fiches-{i + 1}.xml\" for i in range(parts)]\n683:        maps += [f\"{BASE_URL}/sitemaps/villes.xml\",\n684:                 f\"{BASE_URL}/sitemaps/villes-types.xml\",\n685:                 f\"{BASE_URL}/sitemaps/types.xml\",\n686:                 f\"{BASE_URL}/sitemaps/pages.xml\"]\n688:                '<sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n689:                + \"\\n\".join(f\"  <sitemap><loc>{html.escape(m)}</loc>\"","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2d6e592e-ea5e-4388-aadd-46cc2b4a9ef4","timestamp":"2026-08-24T23:59:50.197Z","tool_use_result":{"stdout":"Category.tsx\nContact.tsx\nHome.tsx\nLegal.tsx\nListing.tsx\nProfil.tsx\nSources.tsx\nStats.tsx\nTaux.tsx\n221:          <Route path=\"/\" element={<Home />} />\n222:          <Route path=\"/propriete/:uid\" element={<ListingPage />} />\n225:          <Route path=\"/propriete/:uid/:slug\" element={<ListingPage />} />\n226:          <Route path=\"/stats\" element={<StatsPage />} />\n227:          <Route path=\"/taux-hypothecaires\" element={<TauxPage />} />\n228:          <Route path=\"/agences\" element={<SourcesPage />} />\n229:          <Route path=\"/contact\" element={<ContactPage />} />\n230:          <Route path=\"/profil\" element={<ProfilPage />} />\n231:          <Route path=\"/conditions\" element={<TermsPage />} />\n232:          <Route path=\"/confidentialite\" element={<PrivacyPage />} />\n===SEO===\n9:# remplace au montage). Il génère aussi robots.txt et les sitemaps.\n18:#   /robots.txt /sitemap.xml /sitemaps/*.xml\n52:def slugify(s: str) -> str:\n59:def listing_slug(row) -> str:\n68:def _esc(s) -> str:\n72:def _fmt_n(n) -> str:\n76:def _fmt_price(p) -> str:\n80:def _iso_date(ts) -> str:\n91:def _cached(key: str, ttl: float, build):\n105:def _build_registry() -> dict:\n143:def registry() -> dict:\n154:def _template() -> str:\n168:def _page(title: str, description: str, canonical: str, body: str,\n208:def fiche_href(uid: str, slug: str = \"\") -> str:\n213:def _item_li(r) -> str:\n229:def _agg_stats(con, cities: list[str] | None = None,\n252:def _pagination_html(base_path: str, page: int, pages: int) -> str:\n266:def _breadcrumb_ld(crumbs: list[tuple[str, str]]) -> dict:\n282:def _home_data() -> dict:\n283:    def build():\n298:def render_home() -> HTMLResponse:\n359:def _render_category(city_slug: str | None, type_slug: str | None,\n460:def render_listing(uid: str, slug: str | None) -> Response:\n632:def render_static(path: str) -> HTMLResponse:\n638:def render_404() -> HTMLResponse:\n646:# robots.txt et sitemaps\n652:def robots_txt() -> PlainTextResponse:\n658:        f\"\\nSitemap: {BASE_URL}/sitemap.xml\\n\")\n661:def _xml(urls: list[str]) -> Response:\n663:            '<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n668:def _url_el(loc: str, lastmod: str | None = None) -> str:\n673:def sitemap_index() -> Response:\n674:    def build():\n682:        maps = [f\"{BASE_URL}/sitemaps/fiches-{i + 1}.xml\" for i in range(parts)]\n683:        maps += [f\"{BASE_URL}/sitemaps/villes.xml\",\n684:                 f\"{BASE_URL}/sitemaps/villes-types.xml\",\n685:                 f\"{BASE_URL}/sitemaps/types.xml\",\n686:                 f\"{BASE_URL}/sitemaps/pages.xml\"]\n688:                '<sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n689:                + \"\\n\".join(f\"  <sitemap><loc>{html.escape(m)}</loc>\"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"45836839-4811-48d0-bf72-c161e967c58e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"f0c5ce75-a5c4-414e-8288-b344546b2834","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"7de11d22-5f21-4a30-9fa3-3bc088699041","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"f4158615-1d46-4f93-b467-1e30fef87d87","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"e298ee1f-c64d-4d2f-9d26-c169876343d4","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"89836e88-ed3d-4f57-a129-1f5b9a29060b","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"ed85d00b-0ed6-4767-a8ee-82f2e7146ad5","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"49aa18fa-825c-453f-afd0-ebef257f832e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUwZsJx2umcDe7Y567s","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5129,"cache_read_input_tokens":56124,"cache_creation":{"ephemeral_5m_input_tokens":5129,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"361f9bc1-a2e7-4f73-a9b8-6d369f2b4036","request_id":"req_011CeNUwXfrGwuisRcMJciQY"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUwZsJx2umcDe7Y567s","type":"message","role":"assistant","content":[{"type":"text","text":"Pattern clair. Je passe à la construction du dataset — le cœur « légendaire ». Je teste d'abord la forme de réponse de Serper Places, puis j'écris le script de balayage complet."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5129,"cache_read_input_tokens":56124,"cache_creation":{"ephemeral_5m_input_tokens":5129,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"31a9d651-9efa-4939-9322-6a82c61379a7","request_id":"req_011CeNUwXfrGwuisRcMJciQY"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUwZsJx2umcDe7Y567s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019BuJZ8A88qPPMf7cLPZ4d6","name":"TaskUpdate","input":{"taskId":"1","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5129,"cache_read_input_tokens":56124,"cache_creation":{"ephemeral_5m_input_tokens":5129,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1455f203-da58-4966-8cbd-488a46ddfe7c","request_id":"req_011CeNUwXfrGwuisRcMJciQY"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019BuJZ8A88qPPMf7cLPZ4d6","type":"tool_result","content":"Updated task #1 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d8e569b5-8905-4373-a3c4-50c706ab8e00","timestamp":"2026-08-25T00:00:06.815Z","tool_use_result":{"success":true,"taskId":"1","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUwZsJx2umcDe7Y567s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Xe6Fb9ZD3gDEzg698xVjN","name":"Bash","input":{"command":"source ~/.claude/.env 2>/dev/null; export SERPER_API_KEY; curl -s -X POST https://google.serper.dev/places -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"déménageur Rimouski QC\",\"gl\":\"ca\",\"hl\":\"fr\",\"page\":1}' | python3 -m json.tool | head -60","description":"Test Serper Places response shape for movers"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5129,"cache_read_input_tokens":56124,"cache_creation":{"ephemeral_5m_input_tokens":5129,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0cbd1548-28c9-4029-a70e-09839ec076e5","request_id":"req_011CeNUwXfrGwuisRcMJciQY"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"source ~/.claude/.env 2>/dev/null; export SERPER_API_KEY; curl -s -X POST https://google.serper.dev/places -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"déménageur Rimouski QC\",\"gl\":\"ca\",\"hl\":\"fr\",\"page\":1}' | python3 -m json.tool | head -60","description":"Test Serper Places response shape for movers"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Xe6Fb9ZD3gDEzg698xVjN","type":"tool_result","content":"{\n    \"searchParameters\": {\n        \"q\": \"d\\u00e9m\\u00e9nageur Rimouski QC\",\n        \"gl\": \"ca\",\n        \"hl\": \"fr\",\n        \"type\": \"places\",\n        \"num\": 10,\n        \"page\": 1,\n        \"engine\": \"google\"\n    },\n    \"places\": [\n        {\n            \"position\": 1,\n            \"title\": \"Pro D\\u00e9m\\u00e9nagement BSL\",\n            \"address\": \"278 Av. de la Cath\\u00e9drale, Rimouski, QC G5L 5J7\",\n            \"latitude\": 48.447636,\n            \"longitude\": -68.52173,\n            \"rating\": 5,\n            \"ratingCount\": 41,\n            \"category\": \"Service de d\\u00e9m\\u00e9nagement et d'entreposage\",\n            \"phoneNumber\": \"(819) 817-8325\",\n            \"cid\": \"14474176735584207943\"\n        },\n        {\n            \"position\": 2,\n            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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNUy1buCgv8W29wmmZMb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WYdFXMLPBjMkySJjrjCqy4","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/build_demenageurs.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec\n# build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\n# administratives, filtre « déménagement », dédoublonnage CID/téléphone,\n# sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport re\nimport sys\nimport time\nimport unicodedata\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom pathlib import Path\nfrom threading import Lock\nfrom urllib.request import Request, urlopen\n\nAPI_KEY = os.environ.get(\"SERPER_API_KEY\", \"\")\nOUT = Path(__file__).parent / \"demenageurs.json\"\n\n# Région administrative → villes balayées (couverture provinciale complète)\nREGIONS: dict[str, list[str]] = {\n    \"Bas-Saint-Laurent\": [\n        \"Rimouski\", \"Rivière-du-Loup\", \"Matane\", \"Mont-Joli\", \"Amqui\",\n        \"La Pocatière\", \"Témiscouata-sur-le-Lac\", \"Trois-Pistoles\", \"Dégelis\"],\n    \"Saguenay–Lac-Saint-Jean\": [\n        \"Saguenay\", \"Chicoutimi\", \"Jonquière\", \"La Baie\", \"Alma\",\n        \"Dolbeau-Mistassini\", \"Roberval\", \"Saint-Félicien\", \"Normandin\"],\n    \"Capitale-Nationale\": [\n        \"Québec\", \"L'Ancienne-Lorette\", \"Saint-Augustin-de-Desmaures\",\n        \"Beaupré\", \"Baie-Saint-Paul\", \"La Malbaie\", \"Donnacona\", \"Pont-Rouge\",\n        \"Saint-Raymond\", \"Sainte-Catherine-de-la-Jacques-Cartier\",\n        \"Stoneham-et-Tewkesbury\", \"Boischatel\", \"Château-Richer\"],\n    \"Mauricie\": [\n        \"Trois-Rivières\", \"Shawinigan\", \"La Tuque\", \"Louiseville\",\n        \"Saint-Tite\", \"Saint-Étienne-des-Grès\"],\n    \"Estrie\": [\n        \"Sherbrooke\", \"Magog\", \"Granby\", \"Cowansville\", \"Bromont\",\n        \"Coaticook\", \"Lac-Mégantic\", \"Windsor\", \"East Angus\",\n        \"Val-des-Sources\", \"Waterloo\"],\n    \"Montréal\": [\n        \"Montréal\", \"Montréal-Nord\", \"Saint-Laurent Montréal\", \"LaSalle\",\n        \"Anjou\", \"Ahuntsic\", \"Rosemont\", \"Hochelaga-Maisonneuve\",\n        \"Le Plateau-Mont-Royal\", \"Verdun\", \"Lachine\", \"Pierrefonds\",\n        \"Rivière-des-Prairies\", \"Côte-des-Neiges\", \"Westmount\",\n        \"Côte-Saint-Luc\", \"Dollard-des-Ormeaux\", \"Pointe-Claire\", \"Dorval\",\n        \"Kirkland\", \"Beaconsfield\", \"Sainte-Anne-de-Bellevue\", \"Outremont\",\n        \"Mont-Royal\"],\n    \"Outaouais\": [\n        \"Gatineau\", \"Hull Gatineau\", \"Aylmer Gatineau\", \"Buckingham Gatineau\",\n        \"Cantley\", \"Chelsea\", \"Val-des-Monts\", \"Maniwaki\", \"Papineauville\",\n        \"La Pêche\"],\n    \"Abitibi-Témiscamingue\": [\n        \"Rouyn-Noranda\", \"Val-d'Or\", \"Amos\", \"La Sarre\", \"Ville-Marie QC\",\n        \"Senneterre\", \"Malartic\"],\n    \"Côte-Nord\": [\n        \"Baie-Comeau\", \"Sept-Îles\", \"Port-Cartier\", \"Forestville\",\n        \"Havre-Saint-Pierre\", \"Fermont\"],\n    \"Nord-du-Québec\": [\n        \"Chibougamau\", \"Lebel-sur-Quévillon\", \"Matagami\", \"Chapais\"],\n    \"Gaspésie–Îles-de-la-Madeleine\": [\n        \"Gaspé\", \"Chandler\", \"New Richmond\", \"Bonaventure\",\n        \"Carleton-sur-Mer\", \"Sainte-Anne-des-Monts\", \"Percé\",\n        \"Les Îles-de-la-Madeleine\"],\n    \"Chaudière-Appalaches\": [\n        \"Lévis\", \"Saint-Georges\", \"Thetford Mines\", \"Montmagny\",\n        \"Sainte-Marie\", \"Beauceville\", \"Saint-Joseph-de-Beauce\", \"L'Islet\",\n        \"Lac-Etchemin\", \"Saint-Anselme\", \"Saint-Henri\"],\n    \"Laval\": [\"Laval\", \"Chomedey Laval\", \"Sainte-Rose Laval\"],\n    \"Lanaudière\": [\n        \"Terrebonne\", \"Repentigny\", \"Mascouche\", \"Joliette\", \"L'Assomption\",\n        \"Rawdon\", \"Saint-Lin-Laurentides\", \"Berthierville\", \"Lavaltrie\",\n        \"Saint-Charles-Borromée\", \"Chertsey\"],\n    \"Laurentides\": [\n        \"Saint-Jérôme\", \"Blainville\", \"Boisbriand\", \"Sainte-Thérèse\",\n        \"Mirabel\", \"Saint-Eustache\", \"Deux-Montagnes\", \"Rosemère\",\n        \"Bois-des-Filion\", \"Sainte-Adèle\", \"Sainte-Agathe-des-Monts\",\n        \"Mont-Tremblant\", \"Mont-Laurier\", \"Prévost\", \"Saint-Sauveur\",\n        \"Lachute\", \"Saint-Colomban\"],\n    \"Montérégie\": [\n        \"Longueuil\", \"Brossard\", \"Saint-Lambert\", \"Boucherville\",\n        \"Saint-Bruno-de-Montarville\", \"Saint-Hubert Longueuil\",\n        \"Châteauguay\", \"Saint-Jean-sur-Richelieu\", \"Salaberry-de-Valleyfield\",\n        \"Vaudreuil-Dorion\", \"Saint-Hyacinthe\", \"Sorel-Tracy\", \"Beloeil\",\n        \"Mont-Saint-Hilaire\", \"Chambly\", \"La Prairie\", \"Candiac\",\n        \"Sainte-Catherine QC\", \"Saint-Constant\", \"Mercier\", \"Beauharnois\",\n        \"Varennes\", \"Sainte-Julie\", \"Contrecoeur\", \"Marieville\", \"Farnham\",\n        \"Acton Vale\", \"Rigaud\", \"L'Île-Perrot\", \"Pincourt\", \"Saint-Rémi\"],\n    \"Centre-du-Québec\": [\n        \"Drummondville\", \"Victoriaville\", \"Bécancour\", \"Nicolet\",\n        \"Plessisville\", \"Princeville\", \"Kingsey Falls\", \"Warwick QC\"],\n}\n\n# Grandes villes : pagination plus profonde + variante de requête\nBIG = {\"Montréal\", \"Québec\", \"Laval\", \"Gatineau\", \"Longueuil\", \"Sherbrooke\",\n       \"Trois-Rivières\", \"Saguenay\", \"Lévis\", \"Terrebonne\", \"Saint-Jérôme\",\n       \"Brossard\", \"Repentigny\", \"Drummondville\", \"Saint-Jean-sur-Richelieu\"}\n\nMOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)\n\n_lock = Lock()\n_stats = {\"queries\": 0, \"kept\": 0, \"raw\": 0}\n\n\ndef norm(s: str) -> str:\n    return unicodedata.normalize(\"NFKD\", s or \"\").encode(\"ascii\", \"ignore\").decode()\n\n\ndef slugify(s: str) -> str:\n    s = norm(s).lower()\n    s = re.sub(r\"[^a-z0-9]+\", \"-\", s).strip(\"-\")\n    return s or \"x\"\n\n\ndef norm_phone(p: str | None) -> str:\n    d = re.sub(r\"\\D\", \"\", p or \"\")\n    return d[-10:] if len(d) >= 10 else d\n\n\ndef serper_places(q: str, page: int) -> list[dict]:\n    body = json.dumps({\"q\": q, \"gl\": \"ca\", \"hl\": \"fr\", \"page\": page}).encode()\n    req = Request(\"https://google.serper.dev/places\", data=body,\n                  headers={\"X-API-KEY\": API_KEY, \"Content-Type\": \"application/json\"})\n    for attempt in range(3):\n        try:\n            with urlopen(req, timeout=30) as r:\n                with _lock:\n                    _stats[\"queries\"] += 1\n                return json.loads(r.read()).get(\"places\", [])\n        except Exception:\n            time.sleep(2 * (attempt + 1))\n    return []\n\n\ndef is_mover(p: dict) -> bool:\n    return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\n                or MOVER_RE.search(norm(p.get(\"title\", \"\"))))\n\n\ndef in_quebec(p: dict) -> bool:\n    addr = p.get(\"address\", \"\")\n    return (\", QC\" in addr or \" QC \" in addr or addr.endswith(\" QC\")\n            or not addr)  # certaines fiches n'ont pas d'adresse : région du balayage\n\n\nCITY_RE = re.compile(r\",\\s*([^,]+?),\\s*(?:QC|Québec)\\b\")\n\n\ndef parse_city(addr: str) -> str:\n    m = CITY_RE.search(addr or \"\")\n    return m.group(1).strip() if m else \"\"\n\n\ndef sweep_city(region: str, city: str) -> list[dict]:\n    label = city.replace(\" QC\", \"\").replace(\" Montréal\", \"\").replace(\" Gatineau\", \"\").replace(\" Laval\", \"\").replace(\" Longueuil\", \"\")\n    queries = [f\"déménageur {city} QC\"]\n    max_pages = 5 if city in BIG else 3\n    if city in BIG:\n        queries.append(f\"entreprise de déménagement {city} QC\")\n    out = []\n    for q in queries:\n        for page in range(1, max_pages + 1):\n            places = serper_places(q, page)\n            with _lock:\n                _stats[\"raw\"] += len(places)\n            for p in places:\n                if is_mover(p) and in_quebec(p):\n                    p[\"_region\"] = region\n                    p[\"_query_city\"] = label\n                    out.append(p)\n            if len(places) < 10:\n                break\n    return out\n\n\ndef main() -> None:\n    if not API_KEY:\n        sys.exit(\"SERPER_API_KEY manquante\")\n    jobs = [(r, c) for r, cities in REGIONS.items() for c in cities]\n    # ville balayée → région (pour rattacher la ville réelle de l'adresse)\n    city_region = {}\n    for r, cities in REGIONS.items():\n        for c in cities:\n            city_region[norm(c.split(\" QC\")[0]).lower()] = r\n\n    raw: list[dict] = []\n    with ThreadPoolExecutor(max_workers=8) as ex:\n        futs = {ex.submit(sweep_city, r, c): (r, c) for r, c in jobs}\n        done = 0\n        for f in as_completed(futs):\n            raw.extend(f.result())\n            done += 1\n            if done % 25 == 0:\n                print(f\"  … {done}/{len(jobs)} villes, {len(raw)} fiches brutes, \"\n                      f\"{_stats['queries']} requêtes\", flush=True)\n\n    # Dédoublonnage : CID d'abord, sinon téléphone, sinon (nom, ville)\n    by_key: dict[str, dict] = {}\n    for p in raw:\n        key = (\"cid:\" + p[\"cid\"]) if p.get(\"cid\") else \"\"\n        if not key:\n            ph = norm_phone(p.get(\"phoneNumber\"))\n            key = (\"tel:\" + ph) if ph else (\"nc:\" + slugify(p.get(\"title\", \"\")) + \":\" + slugify(parse_city(p.get(\"address\", \"\"))))\n        cur = by_key.get(key)\n        if cur is None or (not cur.get(\"website\") and p.get(\"website\")):\n            if cur:\n                p.setdefault(\"_region\", cur[\"_region\"])\n            by_key[key] = p\n\n    movers = []\n    seen_slug: set[str] = set()\n    for p in by_key.values():\n        addr_city = parse_city(p.get(\"address\", \"\"))\n        region = city_region.get(norm(addr_city).lower(), p[\"_region\"])\n        city = addr_city or p[\"_query_city\"]\n        base = slugify(f\"{p.get('title','')}-{city}\")\n        slug = base\n        i = 2\n        while slug in seen_slug:\n            slug = f\"{base}-{i}\"\n            i += 1\n        seen_slug.add(slug)\n        movers.append({\n            \"id\": slug,\n            \"name\": (p.get(\"title\") or \"\").strip(),\n            \"city\": city,\n            \"region\": region,\n            \"address\": p.get(\"address\", \"\"),\n            \"phone\": p.get(\"phoneNumber\", \"\"),\n            \"website\": p.get(\"website\", \"\"),\n            \"rating\": p.get(\"rating\"),\n            \"reviews\": p.get(\"ratingCount\"),\n            \"lat\": p.get(\"latitude\"),\n            \"lng\": p.get(\"longitude\"),\n            \"category\": p.get(\"category\", \"\"),\n            \"cid\": p.get(\"cid\", \"\"),\n        })\n\n    movers.sort(key=lambda m: (norm(m[\"region\"]), norm(m[\"city\"]), norm(m[\"name\"])))\n    doc = {\n        \"generated\": time.strftime(\"%Y-%m-%d\"),\n        \"source\": \"Google Places via Serper — balayage \" + str(len(jobs)) + \" villes, 17 régions\",\n        \"count\": len(movers),\n        \"movers\": movers,\n    }\n    OUT.write_text(json.dumps(doc, ensure_ascii=False, indent=1), encoding=\"utf-8\")\n    regions = {}\n    for m in movers:\n        regions[m[\"region\"]] = regions.get(m[\"region\"], 0) + 1\n    print(f\"\\n✅ {len(movers)} déménageurs uniques ({_stats['raw']} fiches brutes, \"\n          f\"{_stats['queries']} requêtes Serper) → {OUT}\")\n    for r, n in sorted(regions.items(), key=lambda x: -x[1]):\n        print(f\"   {r}: {n}\")\n\n\nif __name__ == \"__main__\":\n    main()\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2065,"cache_read_input_tokens":61253,"cache_creation":{"ephemeral_5m_input_tokens":2065,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2fdce2bc-105d-41ba-8eaa-5d297f46ae84","request_id":"req_011CeNUxz5cw5d6dEDSYqPKL"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/build_demenageurs.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec\n# build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\n# administratives, filtre « déménagement », dédoublonnage CID/téléphone,\n# sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport re\nimport sys\nimport time\nimport unicodedata\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom pathlib import Path\nfrom threading import Lock\nfrom urllib.request import Request, urlopen\n\nAPI_KEY = os.environ.get(\"SERPER_API_KEY\", \"\")\nOUT = Path(__file__).parent / \"demenageurs.json\"\n\n# Région administrative → villes balayées (couverture provinciale complète)\nREGIONS: dict[str, list[str]] = {\n    \"Bas-Saint-Laurent\": [\n        \"Rimouski\", \"Rivière-du-Loup\", \"Matane\", \"Mont-Joli\", \"Amqui\",\n        \"La Pocatière\", \"Témiscouata-sur-le-Lac\", \"Trois-Pistoles\", \"Dégelis\"],\n    \"Saguenay–Lac-Saint-Jean\": [\n        \"Saguenay\", \"Chicoutimi\", \"Jonquière\", \"La Baie\", \"Alma\",\n        \"Dolbeau-Mistassini\", \"Roberval\", \"Saint-Félicien\", \"Normandin\"],\n    \"Capitale-Nationale\": [\n        \"Québec\", \"L'Ancienne-Lorette\", \"Saint-Augustin-de-Desmaures\",\n        \"Beaupré\", \"Baie-Saint-Paul\", \"La Malbaie\", \"Donnacona\", \"Pont-Rouge\",\n        \"Saint-Raymond\", \"Sainte-Catherine-de-la-Jacques-Cartier\",\n        \"Stoneham-et-Tewkesbury\", \"Boischatel\", \"Château-Richer\"],\n    \"Mauricie\": [\n        \"Trois-Rivières\", \"Shawinigan\", \"La Tuque\", \"Louiseville\",\n        \"Saint-Tite\", \"Saint-Étienne-des-Grès\"],\n    \"Estrie\": [\n        \"Sherbrooke\", \"Magog\", \"Granby\", \"Cowansville\", \"Bromont\",\n        \"Coaticook\", \"Lac-Mégantic\", \"Windsor\", \"East Angus\",\n        \"Val-des-Sources\", \"Waterloo\"],\n    \"Montréal\": [\n        \"Montréal\", \"Montréal-Nord\", \"Saint-Laurent Montréal\", \"LaSalle\",\n        \"Anjou\", \"Ahuntsic\", \"Rosemont\", \"Hochelaga-Maisonneuve\",\n        \"Le Plateau-Mont-Royal\", \"Verdun\", \"Lachine\", \"Pierrefonds\",\n        \"Rivière-des-Prairies\", \"Côte-des-Neiges\", \"Westmount\",\n        \"Côte-Saint-Luc\", \"Dollard-des-Ormeaux\", \"Pointe-Claire\", \"Dorval\",\n        \"Kirkland\", \"Beaconsfield\", \"Sainte-Anne-de-Bellevue\", \"Outremont\",\n        \"Mont-Royal\"],\n    \"Outaouais\": [\n        \"Gatineau\", \"Hull Gatineau\", \"Aylmer Gatineau\", \"Buckingham Gatineau\",\n        \"Cantley\", \"Chelsea\", \"Val-des-Monts\", \"Maniwaki\", \"Papineauville\",\n        \"La Pêche\"],\n    \"Abitibi-Témiscamingue\": [\n        \"Rouyn-Noranda\", \"Val-d'Or\", \"Amos\", \"La Sarre\", \"Ville-Marie QC\",\n        \"Senneterre\", \"Malartic\"],\n    \"Côte-Nord\": [\n        \"Baie-Comeau\", \"Sept-Îles\", \"Port-Cartier\", \"Forestville\",\n        \"Havre-Saint-Pierre\", \"Fermont\"],\n    \"Nord-du-Québec\": [\n        \"Chibougamau\", \"Lebel-sur-Quévillon\", \"Matagami\", \"Chapais\"],\n    \"Gaspésie–Îles-de-la-Madeleine\": [\n        \"Gaspé\", \"Chandler\", \"New Richmond\", \"Bonaventure\",\n        \"Carleton-sur-Mer\", \"Sainte-Anne-des-Monts\", \"Percé\",\n        \"Les Îles-de-la-Madeleine\"],\n    \"Chaudière-Appalaches\": [\n        \"Lévis\", \"Saint-Georges\", \"Thetford Mines\", \"Montmagny\",\n        \"Sainte-Marie\", \"Beauceville\", \"Saint-Joseph-de-Beauce\", \"L'Islet\",\n        \"Lac-Etchemin\", \"Saint-Anselme\", \"Saint-Henri\"],\n    \"Laval\": [\"Laval\", \"Chomedey Laval\", \"Sainte-Rose Laval\"],\n    \"Lanaudière\": [\n        \"Terrebonne\", \"Repentigny\", \"Mascouche\", \"Joliette\", \"L'Assomption\",\n        \"Rawdon\", \"Saint-Lin-Laurentides\", \"Berthierville\", \"Lavaltrie\",\n        \"Saint-Charles-Borromée\", \"Chertsey\"],\n    \"Laurentides\": [\n        \"Saint-Jérôme\", \"Blainville\", \"Boisbriand\", \"Sainte-Thérèse\",\n        \"Mirabel\", \"Saint-Eustache\", \"Deux-Montagnes\", \"Rosemère\",\n        \"Bois-des-Filion\", \"Sainte-Adèle\", \"Sainte-Agathe-des-Monts\",\n        \"Mont-Tremblant\", \"Mont-Laurier\", \"Prévost\", \"Saint-Sauveur\",\n        \"Lachute\", \"Saint-Colomban\"],\n    \"Montérégie\": [\n        \"Longueuil\", \"Brossard\", \"Saint-Lambert\", \"Boucherville\",\n        \"Saint-Bruno-de-Montarville\", \"Saint-Hubert Longueuil\",\n        \"Châteauguay\", \"Saint-Jean-sur-Richelieu\", \"Salaberry-de-Valleyfield\",\n        \"Vaudreuil-Dorion\", \"Saint-Hyacinthe\", \"Sorel-Tracy\", \"Beloeil\",\n        \"Mont-Saint-Hilaire\", \"Chambly\", \"La Prairie\", \"Candiac\",\n        \"Sainte-Catherine QC\", \"Saint-Constant\", \"Mercier\", \"Beauharnois\",\n        \"Varennes\", \"Sainte-Julie\", \"Contrecoeur\", \"Marieville\", \"Farnham\",\n        \"Acton Vale\", \"Rigaud\", \"L'Île-Perrot\", \"Pincourt\", \"Saint-Rémi\"],\n    \"Centre-du-Québec\": [\n        \"Drummondville\", \"Victoriaville\", \"Bécancour\", \"Nicolet\",\n        \"Plessisville\", \"Princeville\", \"Kingsey Falls\", \"Warwick QC\"],\n}\n\n# Grandes villes : pagination plus profonde + variante de requête\nBIG = {\"Montréal\", \"Québec\", \"Laval\", \"Gatineau\", \"Longueuil\", \"Sherbrooke\",\n       \"Trois-Rivières\", \"Saguenay\", \"Lévis\", \"Terrebonne\", \"Saint-Jérôme\",\n       \"Brossard\", \"Repentigny\", \"Drummondville\", \"Saint-Jean-sur-Richelieu\"}\n\nMOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)\n\n_lock = Lock()\n_stats = {\"queries\": 0, \"kept\": 0, \"raw\": 0}\n\n\ndef norm(s: str) -> str:\n    return unicodedata.normalize(\"NFKD\", s or \"\").encode(\"ascii\", \"ignore\").decode()\n\n\ndef slugify(s: str) -> str:\n    s = norm(s).lower()\n    s = re.sub(r\"[^a-z0-9]+\", \"-\", s).strip(\"-\")\n    return s or \"x\"\n\n\ndef norm_phone(p: str | None) -> str:\n    d = re.sub(r\"\\D\", \"\", p or \"\")\n    return d[-10:] if len(d) >= 10 else d\n\n\ndef serper_places(q: str, page: int) -> list[dict]:\n    body = json.dumps({\"q\": q, \"gl\": \"ca\", \"hl\": \"fr\", \"page\": page}).encode()\n    req = Request(\"https://google.serper.dev/places\", data=body,\n                  headers={\"X-API-KEY\": API_KEY, \"Content-Type\": \"application/json\"})\n    for attempt in range(3):\n        try:\n            with urlopen(req, timeout=30) as r:\n                with _lock:\n                    _stats[\"queries\"] += 1\n                return json.loads(r.read()).get(\"places\", [])\n        except Exception:\n            time.sleep(2 * (attempt + 1))\n    return []\n\n\ndef is_mover(p: dict) -> bool:\n    return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\n                or MOVER_RE.search(norm(p.get(\"title\", \"\"))))\n\n\ndef in_quebec(p: dict) -> bool:\n    addr = p.get(\"address\", \"\")\n    return (\", QC\" in addr or \" QC \" in addr or addr.endswith(\" QC\")\n            or not addr)  # certaines fiches n'ont pas d'adresse : région du balayage\n\n\nCITY_RE = re.compile(r\",\\s*([^,]+?),\\s*(?:QC|Québec)\\b\")\n\n\ndef parse_city(addr: str) -> str:\n    m = CITY_RE.search(addr or \"\")\n    return m.group(1).strip() if m else \"\"\n\n\ndef sweep_city(region: str, city: str) -> list[dict]:\n    label = city.replace(\" QC\", \"\").replace(\" Montréal\", \"\").replace(\" Gatineau\", \"\").replace(\" Laval\", \"\").replace(\" Longueuil\", \"\")\n    queries = [f\"déménageur {city} QC\"]\n    max_pages = 5 if city in BIG else 3\n    if city in BIG:\n        queries.append(f\"entreprise de déménagement {city} QC\")\n    out = []\n    for q in queries:\n        for page in range(1, max_pages + 1):\n            places = serper_places(q, page)\n            with _lock:\n                _stats[\"raw\"] += len(places)\n            for p in places:\n                if is_mover(p) and in_quebec(p):\n                    p[\"_region\"] = region\n                    p[\"_query_city\"] = label\n                    out.append(p)\n            if len(places) < 10:\n                break\n    return out\n\n\ndef main() -> None:\n    if not API_KEY:\n        sys.exit(\"SERPER_API_KEY manquante\")\n    jobs = [(r, c) for r, cities in REGIONS.items() for c in cities]\n    # ville balayée → région (pour rattacher la ville réelle de l'adresse)\n    city_region = {}\n    for r, cities in REGIONS.items():\n        for c in cities:\n            city_region[norm(c.split(\" QC\")[0]).lower()] = r\n\n    raw: list[dict] = []\n    with ThreadPoolExecutor(max_workers=8) as ex:\n        futs = {ex.submit(sweep_city, r, c): (r, c) for r, c in jobs}\n        done = 0\n        for f in as_completed(futs):\n            raw.extend(f.result())\n            done += 1\n            if done % 25 == 0:\n                print(f\"  … {done}/{len(jobs)} villes, {len(raw)} fiches brutes, \"\n                      f\"{_stats['queries']} requêtes\", flush=True)\n\n    # Dédoublonnage : CID d'abord, sinon téléphone, sinon (nom, ville)\n    by_key: dict[str, dict] = {}\n    for p in raw:\n        key = (\"cid:\" + p[\"cid\"]) if p.get(\"cid\") else \"\"\n        if not key:\n            ph = norm_phone(p.get(\"phoneNumber\"))\n            key = (\"tel:\" + ph) if ph else (\"nc:\" + slugify(p.get(\"title\", \"\")) + \":\" + slugify(parse_city(p.get(\"address\", \"\"))))\n        cur = by_key.get(key)\n        if cur is None or (not cur.get(\"website\") and p.get(\"website\")):\n            if cur:\n                p.setdefault(\"_region\", cur[\"_region\"])\n            by_key[key] = p\n\n    movers = []\n    seen_slug: set[str] = set()\n    for p in by_key.values():\n        addr_city = parse_city(p.get(\"address\", \"\"))\n        region = city_region.get(norm(addr_city).lower(), p[\"_region\"])\n        city = addr_city or p[\"_query_city\"]\n        base = slugify(f\"{p.get('title','')}-{city}\")\n        slug = base\n        i = 2\n        while slug in seen_slug:\n            slug = f\"{base}-{i}\"\n            i += 1\n        seen_slug.add(slug)\n        movers.append({\n            \"id\": slug,\n            \"name\": (p.get(\"title\") or \"\").strip(),\n            \"city\": city,\n            \"region\": region,\n            \"address\": p.get(\"address\", \"\"),\n            \"phone\": p.get(\"phoneNumber\", \"\"),\n            \"website\": p.get(\"website\", \"\"),\n            \"rating\": p.get(\"rating\"),\n            \"reviews\": p.get(\"ratingCount\"),\n            \"lat\": p.get(\"latitude\"),\n            \"lng\": p.get(\"longitude\"),\n            \"category\": p.get(\"category\", \"\"),\n            \"cid\": p.get(\"cid\", \"\"),\n        })\n\n    movers.sort(key=lambda m: (norm(m[\"region\"]), norm(m[\"city\"]), norm(m[\"name\"])))\n    doc = {\n        \"generated\": time.strftime(\"%Y-%m-%d\"),\n        \"source\": \"Google Places via Serper — balayage \" + str(len(jobs)) + \" villes, 17 régions\",\n        \"count\": len(movers),\n        \"movers\": movers,\n    }\n    OUT.write_text(json.dumps(doc, ensure_ascii=False, indent=1), encoding=\"utf-8\")\n    regions = {}\n    for m in movers:\n        regions[m[\"region\"]] = regions.get(m[\"region\"], 0) + 1\n    print(f\"\\n✅ {len(movers)} déménageurs uniques ({_stats['raw']} fiches brutes, \"\n          f\"{_stats['queries']} requêtes Serper) → {OUT}\")\n    for r, n in sorted(regions.items(), key=lambda x: -x[1]):\n        print(f\"   {r}: {n}\")\n\n\nif __name__ == \"__main__\":\n    main()\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WYdFXMLPBjMkySJjrjCqy4","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/build_demenageurs.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"85445f11-b61a-4122-823e-d6a81d0b01d6","timestamp":"2026-08-25T00:01:40.332Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/build_demenageurs.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec\n# build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\n# administratives, filtre « déménagement », dédoublonnage CID/téléphone,\n# sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport re\nimport sys\nimport time\nimport unicodedata\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom pathlib import Path\nfrom threading import Lock\nfrom urllib.request import Request, urlopen\n\nAPI_KEY = os.environ.get(\"SERPER_API_KEY\", \"\")\nOUT = Path(__file__).parent / \"demenageurs.json\"\n\n# Région administrative → villes balayées (couverture provinciale complète)\nREGIONS: dict[str, list[str]] = {\n    \"Bas-Saint-Laurent\": [\n        \"Rimouski\", \"Rivière-du-Loup\", \"Matane\", \"Mont-Joli\", \"Amqui\",\n        \"La Pocatière\", \"Témiscouata-sur-le-Lac\", \"Trois-Pistoles\", \"Dégelis\"],\n    \"Saguenay–Lac-Saint-Jean\": [\n        \"Saguenay\", \"Chicoutimi\", \"Jonquière\", \"La Baie\", \"Alma\",\n        \"Dolbeau-Mistassini\", \"Roberval\", \"Saint-Félicien\", \"Normandin\"],\n    \"Capitale-Nationale\": [\n        \"Québec\", \"L'Ancienne-Lorette\", \"Saint-Augustin-de-Desmaures\",\n        \"Beaupré\", \"Baie-Saint-Paul\", \"La Malbaie\", \"Donnacona\", \"Pont-Rouge\",\n        \"Saint-Raymond\", \"Sainte-Catherine-de-la-Jacques-Cartier\",\n        \"Stoneham-et-Tewkesbury\", \"Boischatel\", \"Château-Richer\"],\n    \"Mauricie\": [\n        \"Trois-Rivières\", \"Shawinigan\", \"La Tuque\", \"Louiseville\",\n        \"Saint-Tite\", \"Saint-Étienne-des-Grès\"],\n    \"Estrie\": [\n        \"Sherbrooke\", \"Magog\", \"Granby\", \"Cowansville\", \"Bromont\",\n        \"Coaticook\", \"Lac-Mégantic\", \"Windsor\", \"East Angus\",\n        \"Val-des-Sources\", \"Waterloo\"],\n    \"Montréal\": [\n        \"Montréal\", \"Montréal-Nord\", \"Saint-Laurent Montréal\", \"LaSalle\",\n        \"Anjou\", \"Ahuntsic\", \"Rosemont\", \"Hochelaga-Maisonneuve\",\n        \"Le Plateau-Mont-Royal\", \"Verdun\", \"Lachine\", \"Pierrefonds\",\n        \"Rivière-des-Prairies\", \"Côte-des-Neiges\", \"Westmount\",\n        \"Côte-Saint-Luc\", \"Dollard-des-Ormeaux\", \"Pointe-Claire\", \"Dorval\",\n        \"Kirkland\", \"Beaconsfield\", \"Sainte-Anne-de-Bellevue\", \"Outremont\",\n        \"Mont-Royal\"],\n    \"Outaouais\": [\n        \"Gatineau\", \"Hull Gatineau\", \"Aylmer Gatineau\", \"Buckingham Gatineau\",\n        \"Cantley\", \"Chelsea\", \"Val-des-Monts\", \"Maniwaki\", \"Papineauville\",\n        \"La Pêche\"],\n    \"Abitibi-Témiscamingue\": [\n        \"Rouyn-Noranda\", \"Val-d'Or\", \"Amos\", \"La Sarre\", \"Ville-Marie QC\",\n        \"Senneterre\", \"Malartic\"],\n    \"Côte-Nord\": [\n        \"Baie-Comeau\", \"Sept-Îles\", \"Port-Cartier\", \"Forestville\",\n        \"Havre-Saint-Pierre\", \"Fermont\"],\n    \"Nord-du-Québec\": [\n        \"Chibougamau\", \"Lebel-sur-Quévillon\", \"Matagami\", \"Chapais\"],\n    \"Gaspésie–Îles-de-la-Madeleine\": [\n        \"Gaspé\", \"Chandler\", \"New Richmond\", \"Bonaventure\",\n        \"Carleton-sur-Mer\", \"Sainte-Anne-des-Monts\", \"Percé\",\n        \"Les Îles-de-la-Madeleine\"],\n    \"Chaudière-Appalaches\": [\n        \"Lévis\", \"Saint-Georges\", \"Thetford Mines\", \"Montmagny\",\n        \"Sainte-Marie\", \"Beauceville\", \"Saint-Joseph-de-Beauce\", \"L'Islet\",\n        \"Lac-Etchemin\", \"Saint-Anselme\", \"Saint-Henri\"],\n    \"Laval\": [\"Laval\", \"Chomedey Laval\", \"Sainte-Rose Laval\"],\n    \"Lanaudière\": [\n        \"Terrebonne\", \"Repentigny\", \"Mascouche\", \"Joliette\", \"L'Assomption\",\n        \"Rawdon\", \"Saint-Lin-Laurentides\", \"Berthierville\", \"Lavaltrie\",\n        \"Saint-Charles-Borromée\", \"Chertsey\"],\n    \"Laurentides\": [\n        \"Saint-Jérôme\", \"Blainville\", \"Boisbriand\", \"Sainte-Thérèse\",\n        \"Mirabel\", \"Saint-Eustache\", \"Deux-Montagnes\", \"Rosemère\",\n        \"Bois-des-Filion\", \"Sainte-Adèle\", \"Sainte-Agathe-des-Monts\",\n        \"Mont-Tremblant\", \"Mont-Laurier\", \"Prévost\", \"Saint-Sauveur\",\n        \"Lachute\", \"Saint-Colomban\"],\n    \"Montérégie\": [\n        \"Longueuil\", \"Brossard\", \"Saint-Lambert\", \"Boucherville\",\n        \"Saint-Bruno-de-Montarville\", \"Saint-Hubert Longueuil\",\n        \"Châteauguay\", \"Saint-Jean-sur-Richelieu\", \"Salaberry-de-Valleyfield\",\n        \"Vaudreuil-Dorion\", \"Saint-Hyacinthe\", \"Sorel-Tracy\", \"Beloeil\",\n        \"Mont-Saint-Hilaire\", \"Chambly\", \"La Prairie\", \"Candiac\",\n        \"Sainte-Catherine QC\", \"Saint-Constant\", \"Mercier\", \"Beauharnois\",\n        \"Varennes\", \"Sainte-Julie\", \"Contrecoeur\", \"Marieville\", \"Farnham\",\n        \"Acton Vale\", \"Rigaud\", \"L'Île-Perrot\", \"Pincourt\", \"Saint-Rémi\"],\n    \"Centre-du-Québec\": [\n        \"Drummondville\", \"Victoriaville\", \"Bécancour\", \"Nicolet\",\n        \"Plessisville\", \"Princeville\", \"Kingsey Falls\", \"Warwick QC\"],\n}\n\n# Grandes villes : pagination plus profonde + variante de requête\nBIG = {\"Montréal\", \"Québec\", \"Laval\", \"Gatineau\", \"Longueuil\", \"Sherbrooke\",\n       \"Trois-Rivières\", \"Saguenay\", \"Lévis\", \"Terrebonne\", \"Saint-Jérôme\",\n       \"Brossard\", \"Repentigny\", \"Drummondville\", \"Saint-Jean-sur-Richelieu\"}\n\nMOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)\n\n_lock = Lock()\n_stats = {\"queries\": 0, \"kept\": 0, \"raw\": 0}\n\n\ndef norm(s: str) -> str:\n    return unicodedata.normalize(\"NFKD\", s or \"\").encode(\"ascii\", \"ignore\").decode()\n\n\ndef slugify(s: str) -> str:\n    s = norm(s).lower()\n    s = re.sub(r\"[^a-z0-9]+\", \"-\", s).strip(\"-\")\n    return s or \"x\"\n\n\ndef norm_phone(p: str | None) -> str:\n    d = re.sub(r\"\\D\", \"\", p or \"\")\n    return d[-10:] if len(d) >= 10 else d\n\n\ndef serper_places(q: str, page: int) -> list[dict]:\n    body = json.dumps({\"q\": q, \"gl\": \"ca\", \"hl\": \"fr\", \"page\": page}).encode()\n    req = Request(\"https://google.serper.dev/places\", data=body,\n                  headers={\"X-API-KEY\": API_KEY, \"Content-Type\": \"application/json\"})\n    for attempt in range(3):\n        try:\n            with urlopen(req, timeout=30) as r:\n                with _lock:\n                    _stats[\"queries\"] += 1\n                return json.loads(r.read()).get(\"places\", [])\n        except Exception:\n            time.sleep(2 * (attempt + 1))\n    return []\n\n\ndef is_mover(p: dict) -> bool:\n    return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\n                or MOVER_RE.search(norm(p.get(\"title\", \"\"))))\n\n\ndef in_quebec(p: dict) -> bool:\n    addr = p.get(\"address\", \"\")\n    return (\", QC\" in addr or \" QC \" in addr or addr.endswith(\" QC\")\n            or not addr)  # certaines fiches n'ont pas d'adresse : région du balayage\n\n\nCITY_RE = re.compile(r\",\\s*([^,]+?),\\s*(?:QC|Québec)\\b\")\n\n\ndef parse_city(addr: str) -> str:\n    m = CITY_RE.search(addr or \"\")\n    return m.group(1).strip() if m else \"\"\n\n\ndef sweep_city(region: str, city: str) -> list[dict]:\n    label = city.replace(\" QC\", \"\").replace(\" Montréal\", \"\").replace(\" Gatineau\", \"\").replace(\" Laval\", \"\").replace(\" Longueuil\", \"\")\n    queries = [f\"déménageur {city} QC\"]\n    max_pages = 5 if city in BIG else 3\n    if city in BIG:\n        queries.append(f\"entreprise de déménagement {city} QC\")\n    out = []\n    for q in queries:\n        for page in range(1, max_pages + 1):\n            places = serper_places(q, page)\n            with _lock:\n                _stats[\"raw\"] += len(places)\n            for p in places:\n                if is_mover(p) and in_quebec(p):\n                    p[\"_region\"] = region\n                    p[\"_query_city\"] = label\n                    out.append(p)\n            if len(places) < 10:\n                break\n    return out\n\n\ndef main() -> None:\n    if not API_KEY:\n        sys.exit(\"SERPER_API_KEY manquante\")\n    jobs = [(r, c) for r, cities in REGIONS.items() for c in cities]\n    # ville balayée → région (pour rattacher la ville réelle de l'adresse)\n    city_region = {}\n    for r, cities in REGIONS.items():\n        for c in cities:\n            city_region[norm(c.split(\" QC\")[0]).lower()] = r\n\n    raw: list[dict] = []\n    with ThreadPoolExecutor(max_workers=8) as ex:\n        futs = {ex.submit(sweep_city, r, c): (r, c) for r, c in jobs}\n        done = 0\n        for f in as_completed(futs):\n            raw.extend(f.result())\n            done += 1\n            if done % 25 == 0:\n                print(f\"  … {done}/{len(jobs)} villes, {len(raw)} fiches brutes, \"\n                      f\"{_stats['queries']} requêtes\", flush=True)\n\n    # Dédoublonnage : CID d'abord, sinon téléphone, sinon (nom, ville)\n    by_key: dict[str, dict] = {}\n    for p in raw:\n        key = (\"cid:\" + p[\"cid\"]) if p.get(\"cid\") else \"\"\n        if not key:\n            ph = norm_phone(p.get(\"phoneNumber\"))\n            key = (\"tel:\" + ph) if ph else (\"nc:\" + slugify(p.get(\"title\", \"\")) + \":\" + slugify(parse_city(p.get(\"address\", \"\"))))\n        cur = by_key.get(key)\n        if cur is None or (not cur.get(\"website\") and p.get(\"website\")):\n            if cur:\n                p.setdefault(\"_region\", cur[\"_region\"])\n            by_key[key] = p\n\n    movers = []\n    seen_slug: set[str] = set()\n    for p in by_key.values():\n        addr_city = parse_city(p.get(\"address\", \"\"))\n        region = city_region.get(norm(addr_city).lower(), p[\"_region\"])\n        city = addr_city or p[\"_query_city\"]\n        base = slugify(f\"{p.get('title','')}-{city}\")\n        slug = base\n        i = 2\n        while slug in seen_slug:\n            slug = f\"{base}-{i}\"\n            i += 1\n        seen_slug.add(slug)\n        movers.append({\n            \"id\": slug,\n            \"name\": (p.get(\"title\") or \"\").strip(),\n            \"city\": city,\n            \"region\": region,\n            \"address\": p.get(\"address\", \"\"),\n            \"phone\": p.get(\"phoneNumber\", \"\"),\n            \"website\": p.get(\"website\", \"\"),\n            \"rating\": p.get(\"rating\"),\n            \"reviews\": p.get(\"ratingCount\"),\n            \"lat\": p.get(\"latitude\"),\n            \"lng\": p.get(\"longitude\"),\n            \"category\": p.get(\"category\", \"\"),\n            \"cid\": p.get(\"cid\", \"\"),\n        })\n\n    movers.sort(key=lambda m: (norm(m[\"region\"]), norm(m[\"city\"]), norm(m[\"name\"])))\n    doc = {\n        \"generated\": time.strftime(\"%Y-%m-%d\"),\n        \"source\": \"Google Places via Serper — balayage \" + str(len(jobs)) + \" villes, 17 régions\",\n        \"count\": len(movers),\n        \"movers\": movers,\n    }\n    OUT.write_text(json.dumps(doc, ensure_ascii=False, indent=1), encoding=\"utf-8\")\n    regions = {}\n    for m in movers:\n        regions[m[\"region\"]] = regions.get(m[\"region\"], 0) + 1\n    print(f\"\\n✅ {len(movers)} déménageurs uniques ({_stats['raw']} fiches brutes, \"\n          f\"{_stats['queries']} requêtes Serper) → {OUT}\")\n    for r, n in sorted(regions.items(), key=lambda x: -x[1]):\n        print(f\"   {r}: {n}\")\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MY3K385t9uaDKMR938yxn3","type":"tool_result","content":"Command running in background with ID: b7zsy4etq. Output is being written to: /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/b7zsy4etq.output. You will be notified when it completes. To check interim output, use Read on that file path.","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"facc0436-a3c8-4661-bb20-49a140f682dd","timestamp":"2026-08-25T00:01:44.964Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"backgroundTaskId":"b7zsy4etq"}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV623dhvRHHJxtheLqz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":71396,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"feb32777-fc41-43ff-ac6c-66e79c3809ad","request_id":"req_011CeNV5zPfwsGLhBEaPcWZ6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV623dhvRHHJxtheLqz","type":"message","role":"assistant","content":[{"type":"text","text":"Le balayage tourne en arrière-plan. Pendant ce temps, j'étudie les points d'intégration restants : catch-all SSR d'immo-ka, nav/footer des deux apps, conventions CSS."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":71396,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"8a87b58c-901d-4922-8297-ecabe76a3438","request_id":"req_011CeNV5zPfwsGLhBEaPcWZ6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV623dhvRHHJxtheLqz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SPUcfSiAQQpZffFYXF2pGG","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"592,643p\" immoka/web.py && echo \"===render_static===\" && sed -n \"600,660p\" immoka/seo.py && echo \"===pages sitemap===\" && grep -n \"pages.xml\" -A 20 immoka/seo.py | head -40'","description":"Read immo-ka catch-all dispatch and static SSR"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":71396,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"87755e88-4ac4-49dc-bde3-bb08d9954f02","request_id":"req_011CeNV5zPfwsGLhBEaPcWZ6"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"592,643p\" immoka/web.py && echo \"===render_static===\" && sed -n \"600,660p\" immoka/seo.py && echo \"===pages sitemap===\" && grep -n \"pages.xml\" -A 20 immoka/seo.py | head -40'","description":"Read immo-ka catch-all dispatch and static SSR"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SPUcfSiAQQpZffFYXF2pGG","type":"tool_result","content":"@app.get(\"/robots.txt\")\ndef robots():\n    return seo.robots_txt()\n\n\n@app.get(\"/sitemap.xml\")\ndef sitemap():\n    return seo.sitemap_index()\n\n\n@app.get(\"/sitemaps/{name}\")\ndef sitemap_part(name: str):\n    return seo.sitemap_file(name)\n\n\n@app.get(\"/api/seo/resolve\")\ndef seo_resolve(ville: str | None = None, type: str | None = None):\n    \"\"\"Slug d'URL programmatique → valeurs exactes (pages /a-vendre du SPA).\"\"\"\n    out = seo.resolve_slugs(ville, type)\n    if out is None:\n        raise HTTPException(404, \"Slug inconnu\")\n    return out\n\n\n# --- Frontend statique -------------------------------------------------------\nif FRONTEND_DIR.exists():\n\n    if (FRONTEND_DIR / \"assets\").is_dir():\n        app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIR / \"assets\"), name=\"assets\")\n\n    @app.get(\"/doc\", include_in_schema=False)\n    def doc_redirect():\n        return RedirectResponse(\"/doc/\", status_code=301)\n\n    # /doc : documentation statique (index.html + captures + PDF) — montée\n    # explicitement pour que le catch-all SPA ne l'intercepte pas.\n    if (FRONTEND_DIR / \"doc\").is_dir():\n        app.mount(\"/doc\", StaticFiles(directory=FRONTEND_DIR / \"doc\", html=True), name=\"doc\")\n\n    @app.get(\"/{full_path:path}\")\n    def spa(full_path: str, request: Request):\n        target = FRONTEND_DIR / full_path\n        if full_path and target.is_file():\n            return FileResponse(target)\n        # rendu SEO côté serveur : HTML complet par route (meta, JSON-LD,\n        # contenu dans #root que React remplace au montage). Ne doit JAMAIS\n        # casser l'app → repli sur l'index brut à la moindre erreur.\n        try:\n            return seo.render_for_path(\"/\" + full_path,\n                                       dict(request.query_params))\n        except Exception:\n            return FileResponse(FRONTEND_DIR / \"index.html\")\n===render_static===\n# -----------------------------------------------------------------------------\n# Pages statiques du SPA (meta dédiées) et 404\n# -----------------------------------------------------------------------------\n\n_STATIC_META = {\n    \"/stats\": (\"Statistiques du marché immobilier québécois\",\n               \"Prix moyens, écarts prix demandé vs estimation Vrai-Prix par bannière, \"\n               \"et volumes d'annonces par source — statistiques en continu d'Immo-Ka.\",\n               False),\n    \"/agences\": (\"Agences immobilières couvertes\",\n                 \"Toutes les bannières et agences agrégées par Immo-Ka : RE/MAX, Via Capitale, \"\n                 \"Sutton, Proprio Direct, Engel & Völkers, Sotheby's, DuProprio et plus.\",\n                 False),\n    \"/taux-hypothecaires\": (\n        \"Taux hypothécaires au Canada — comparateur en direct\",\n        \"Comparez les taux hypothécaires réellement publiés par RBC, TD, BMO, CIBC, \"\n        \"Scotia, BNC, Desjardins, Tangerine, EQ et plus — fixes et variables, avec \"\n        \"source officielle, fraîcheur et historique. Collecte continue par Immo-Ka.\",\n        False),\n    \"/conditions\": (\"Conditions d'utilisation\",\n                    \"Conditions d'utilisation de la plateforme Immo-Ka (Groupe-Ka).\", False),\n    \"/confidentialite\": (\"Politique de confidentialité\",\n                         \"Politique de confidentialité d'Immo-Ka (Groupe-Ka) — Loi 25.\", False),\n    \"/profil\": (\"Mon profil\", \"Votre compte Groupe KA sur Immo-Ka.\", True),\n    \"/contact\": (\"Contact — Groupe KA\",\n                 \"Écrire au Groupe KA : contact@groupe-ka.com (projets et données), \"\n                 \"info@groupe-ka.com (médias), admin@groupe-ka.com (légal et Loi 25). \"\n                 \"Immo-Ka est un service Groupe KA — https://www.groupe-ka.com.\",\n                 False),\n}\n\n\ndef render_static(path: str) -> HTMLResponse:\n    t, desc, noindex = _STATIC_META[path]\n    body = f\"<h1>{_esc(t)}</h1><p>{_esc(desc)}</p>\"\n    return _page(f\"{t} | {SITE_NAME}\", desc, BASE_URL + path, body, noindex=noindex)\n\n\ndef render_404() -> HTMLResponse:\n    body = ('<h1>Page introuvable</h1><p>Le lien demandé n\\'existe pas.</p>'\n            '<p><a href=\"/\">Toutes les propriétés à vendre au Québec</a></p>')\n    return _page(f\"Page introuvable | {SITE_NAME}\", \"Page introuvable.\",\n                 BASE_URL + \"/\", body, noindex=True, status=404)\n\n\n# -----------------------------------------------------------------------------\n# robots.txt et sitemaps\n# -----------------------------------------------------------------------------\n\nFICHES_PER_SITEMAP = 40000\n\n\ndef robots_txt() -> PlainTextResponse:\n    return PlainTextResponse(\n        \"User-agent: *\\n\"\n        \"Allow: /\\n\"\n        \"Disallow: /api/\\n\"\n        \"Disallow: /profil\\n\"\n        f\"\\nSitemap: {BASE_URL}/sitemap.xml\\n\")\n\n\n===pages sitemap===\n686:                 f\"{BASE_URL}/sitemaps/pages.xml\"]\n687-        body = ('<?xml version=\"1.0\" encoding=\"UTF-8\"?>\\n'\n688-                '<sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n689-                + \"\\n\".join(f\"  <sitemap><loc>{html.escape(m)}</loc>\"\n690-                            f\"<lastmod>{lm}</lastmod></sitemap>\" for m in maps)\n691-                + \"\\n</sitemapindex>\")\n692-        return body\n693-    return Response(_cached(\"sm:index\", 3600, build), media_type=\"application/xml\")\n694-\n695-\n696-def sitemap_file(name: str) -> Response:\n697-    m = re.fullmatch(r\"fiches-(\\d+)\\.xml\", name)\n698-    if m:\n699-        part = int(m.group(1))\n700-\n701-        def build():\n702-            con = db.connect()\n703-            rows = con.execute(\n704-                f\"SELECT uid, address, title, city, updated_at FROM listings\"\n705-                f\" WHERE {VISIBLE} ORDER BY uid LIMIT ? OFFSET ?\",\n706-                (FICHES_PER_SITEMAP, (part - 1) * FICHES_PER_SITEMAP)).fetchall()\n--\n743:    if name == \"pages.xml\":\n744-        return _xml([_url_el(f\"{BASE_URL}{p}\")\n745-                     for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\",\n746-                               \"/conditions\", \"/confidentialite\"]])\n747-\n748-    return Response(\"Sitemap introuvable\", status_code=404)\n749-\n750-\n751-def _city_lastmod() -> dict[str, str]:\n752-    def build():\n753-        con = db.connect()\n754-        out: dict[str, str] = {}\n755-        for r in con.execute(\n756-                f\"SELECT city, MAX(updated_at) m FROM listings WHERE {VISIBLE}\"\n757-                \" AND city<>'' GROUP BY city\"):\n758-            s = slugify(r[\"city\"])\n759-            if s:\n760-                prev = out.get(s)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c65403c5-7881-4924-b9cd-f0c4d28a251d","timestamp":"2026-08-25T00:02:09.340Z","tool_use_result":{"stdout":"@app.get(\"/robots.txt\")\ndef robots():\n    return seo.robots_txt()\n\n\n@app.get(\"/sitemap.xml\")\ndef sitemap():\n    return seo.sitemap_index()\n\n\n@app.get(\"/sitemaps/{name}\")\ndef sitemap_part(name: str):\n    return seo.sitemap_file(name)\n\n\n@app.get(\"/api/seo/resolve\")\ndef seo_resolve(ville: str | None = None, type: str | None = None):\n    \"\"\"Slug d'URL programmatique → valeurs exactes (pages /a-vendre du SPA).\"\"\"\n    out = seo.resolve_slugs(ville, type)\n    if out is None:\n        raise HTTPException(404, \"Slug inconnu\")\n    return out\n\n\n# --- Frontend statique -------------------------------------------------------\nif FRONTEND_DIR.exists():\n\n    if (FRONTEND_DIR / \"assets\").is_dir():\n        app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIR / \"assets\"), name=\"assets\")\n\n    @app.get(\"/doc\", include_in_schema=False)\n    def doc_redirect():\n        return RedirectResponse(\"/doc/\", status_code=301)\n\n    # /doc : documentation statique (index.html + captures + PDF) — montée\n    # explicitement pour que le catch-all SPA ne l'intercepte pas.\n    if (FRONTEND_DIR / \"doc\").is_dir():\n        app.mount(\"/doc\", StaticFiles(directory=FRONTEND_DIR / \"doc\", html=True), name=\"doc\")\n\n    @app.get(\"/{full_path:path}\")\n    def spa(full_path: str, request: Request):\n        target = FRONTEND_DIR / full_path\n        if full_path and target.is_file():\n            return FileResponse(target)\n        # rendu SEO côté serveur : HTML complet par route (meta, JSON-LD,\n        # contenu dans #root que React remplace au montage). Ne doit JAMAIS\n        # casser l'app → repli sur l'index brut à la moindre erreur.\n        try:\n            return seo.render_for_path(\"/\" + full_path,\n                                       dict(request.query_params))\n        except Exception:\n            return FileResponse(FRONTEND_DIR / \"index.html\")\n===render_static===\n# -----------------------------------------------------------------------------\n# Pages statiques du SPA (meta dédiées) et 404\n# -----------------------------------------------------------------------------\n\n_STATIC_META = {\n    \"/stats\": (\"Statistiques du marché immobilier québécois\",\n               \"Prix moyens, écarts prix demandé vs estimation Vrai-Prix par bannière, \"\n               \"et volumes d'annonces par source — statistiques en continu d'Immo-Ka.\",\n               False),\n    \"/agences\": (\"Agences immobilières couvertes\",\n                 \"Toutes les bannières et agences agrégées par Immo-Ka : RE/MAX, Via Capitale, \"\n                 \"Sutton, Proprio Direct, Engel & Völkers, Sotheby's, DuProprio et plus.\",\n                 False),\n    \"/taux-hypothecaires\": (\n        \"Taux hypothécaires au Canada — comparateur en direct\",\n        \"Comparez les taux hypothécaires réellement publiés par RBC, TD, BMO, CIBC, \"\n        \"Scotia, BNC, Desjardins, Tangerine, EQ et plus — fixes et variables, avec \"\n        \"source officielle, fraîcheur et historique. Collecte continue par Immo-Ka.\",\n        False),\n    \"/conditions\": (\"Conditions d'utilisation\",\n                    \"Conditions d'utilisation de la plateforme Immo-Ka (Groupe-Ka).\", False),\n    \"/confidentialite\": (\"Politique de confidentialité\",\n                         \"Politique de confidentialité d'Immo-Ka (Groupe-Ka) — Loi 25.\", False),\n    \"/profil\": (\"Mon profil\", \"Votre compte Groupe KA sur Immo-Ka.\", True),\n    \"/contact\": (\"Contact — Groupe KA\",\n                 \"Écrire au Groupe KA : contact@groupe-ka.com (projets et données), \"\n                 \"info@groupe-ka.com (médias), admin@groupe-ka.com (légal et Loi 25). \"\n                 \"Immo-Ka est un service Groupe KA — https://www.groupe-ka.com.\",\n                 False),\n}\n\n\ndef render_static(path: str) -> HTMLResponse:\n    t, desc, noindex = _STATIC_META[path]\n    body = f\"<h1>{_esc(t)}</h1><p>{_esc(desc)}</p>\"\n    return _page(f\"{t} | {SITE_NAME}\", desc, BASE_URL + path, body, noindex=noindex)\n\n\ndef render_404() -> HTMLResponse:\n    body = ('<h1>Page introuvable</h1><p>Le lien demandé n\\'existe pas.</p>'\n            '<p><a href=\"/\">Toutes les propriétés à vendre au Québec</a></p>')\n    return _page(f\"Page introuvable | {SITE_NAME}\", \"Page introuvable.\",\n                 BASE_URL + \"/\", body, noindex=True, status=404)\n\n\n# -----------------------------------------------------------------------------\n# robots.txt et sitemaps\n# -----------------------------------------------------------------------------\n\nFICHES_PER_SITEMAP = 40000\n\n\ndef robots_txt() -> PlainTextResponse:\n    return PlainTextResponse(\n        \"User-agent: *\\n\"\n        \"Allow: /\\n\"\n        \"Disallow: /api/\\n\"\n        \"Disallow: /profil\\n\"\n        f\"\\nSitemap: {BASE_URL}/sitemap.xml\\n\")\n\n\n===pages sitemap===\n686:                 f\"{BASE_URL}/sitemaps/pages.xml\"]\n687-        body = ('<?xml version=\"1.0\" encoding=\"UTF-8\"?>\\n'\n688-                '<sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\\n'\n689-                + \"\\n\".join(f\"  <sitemap><loc>{html.escape(m)}</loc>\"\n690-                            f\"<lastmod>{lm}</lastmod></sitemap>\" for m in maps)\n691-                + \"\\n</sitemapindex>\")\n692-        return body\n693-    return Response(_cached(\"sm:index\", 3600, build), media_type=\"application/xml\")\n694-\n695-\n696-def sitemap_file(name: str) -> Response:\n697-    m = re.fullmatch(r\"fiches-(\\d+)\\.xml\", name)\n698-    if m:\n699-        part = int(m.group(1))\n700-\n701-        def build():\n702-            con = db.connect()\n703-            rows = con.execute(\n704-                f\"SELECT uid, address, title, city, updated_at FROM listings\"\n705-                f\" WHERE {VISIBLE} ORDER BY uid LIMIT ? OFFSET ?\",\n706-                (FICHES_PER_SITEMAP, (part - 1) * FICHES_PER_SITEMAP)).fetchall()\n--\n743:    if name == \"pages.xml\":\n744-        return _xml([_url_el(f\"{BASE_URL}{p}\")\n745-                     for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\",\n746-                               \"/conditions\", \"/confidentialite\"]])\n747-\n748-    return Response(\"Sitemap introuvable\", status_code=404)\n749-\n750-\n751-def _city_lastmod() -> dict[str, str]:\n752-    def build():\n753-        con = db.connect()\n754-        out: dict[str, str] = {}\n755-        for r in con.execute(\n756-                f\"SELECT city, MAX(updated_at) m FROM listings WHERE {VISIBLE}\"\n757-                \" AND city<>'' GROUP BY city\"):\n758-            s = slugify(r[\"city\"])\n759-            if s:\n760-                prev = out.get(s)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV623dhvRHHJxtheLqz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015afPnccGWZ3m83eKeocNFs","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"290,330p\" frontend/src/App.tsx && echo \"===API===\" && grep -n \"fetchSources\\|export async function\\|const API\" frontend/src/api.ts | head -20 && echo \"===STYLES src-table===\" && grep -n \"src-table\\|\\.kicker\\|\\.pill\" frontend/src/styles.css | head -20'","description":"Read lou-ka footer, api helpers, css conventions"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":71396,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6c8dd194-9122-4fdd-a319-e90ed1923c73","request_id":"req_011CeNV5zPfwsGLhBEaPcWZ6"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015afPnccGWZ3m83eKeocNFs","type":"tool_result","content":"  return (\n    <>\n      <div className=\"prefooter\">\n        <div className=\"container\">\n          <span className=\"baseline\">\n            <b>Lou-Ka</b> — La porte d'entrée vers votre prochain chez-vous.\n            Agrégateur indépendant : chaque fiche renvoie vers l'annonce originale.\n          </span>\n          <NavLink to=\"/\">Logements</NavLink>\n          <NavLink to=\"/court-terme\">Court terme</NavLink>\n          <NavLink to=\"/villes\">Villes</NavLink>\n          <NavLink to=\"/stats\">Stats</NavLink>\n          <NavLink to=\"/sources\">Sources</NavLink>\n          <NavLink to=\"/contact\">Contact</NavLink>\n          <button\n            className=\"flink\"\n            onClick={() => window.dispatchEvent(new Event(\"louka:openConsent\"))}\n          >\n            Gérer mes témoins\n          </button>\n        </div>\n      </div>\n      <KaFooter\n        siteId=\"lou-ka\"\n        localLegal={[\n          { label: \"Documentation\", href: \"/doc/\" },\n          { label: \"Conditions d'utilisation (Lou-Ka)\", href: \"/conditions\" },\n          { label: \"Confidentialité (Lou-Ka)\", href: \"/confidentialite\" },\n        ]}\n      />\n    </>\n  );\n}\n\n/** Barre de navigation inférieure (mobile) — icône active en orange. */\nfunction MobileTabBar() {\n  const location = useLocation();\n  const isCarte = new URLSearchParams(location.search).get(\"view\") === \"carte\";\n  const tabs = [\n    { to: \"/\", label: \"Rechercher\", icon: <IcoSearch size={20} />, on: location.pathname === \"/\" && !isCarte },\n    { to: \"/?view=carte\", label: \"Carte\", icon: <IcoMap size={20} />, on: location.pathname === \"/\" && isCarte },\n===API===\n520:export async function fetchSearch(\n594:export const fetchSources = () => get<{ sources: Source[] }>(\"/api/sources\");\n643:export async function uploadAvatar(file: File): Promise<string | null> {\n711:export async function fetchMe(): Promise<Me | null> {\n===STYLES src-table===\n231:.pills { display: flex; flex-wrap: wrap; gap: 8px; margin: 10px 0 2px; }\n232:.pill {\n238:.pill:hover { background: var(--blue); color: var(--white); }\n239:.pill-x { font-size: 10px; opacity: 0.65; }\n240:.pill-clear { background: var(--surface); border-color: var(--danger); color: var(--danger); }\n241:.pill-clear:hover { background: var(--danger); color: #fff; }\n447:.src-table { width: 100%; border-collapse: separate; border-spacing: 0; min-width: 720px; }\n448:.src-table th {\n453:.src-table td { padding: 13px 18px; border-bottom: 1px solid var(--line); font-size: 14px; vertical-align: top; }\n454:.src-table tr:last-child td { border-bottom: none; }\n455:.src-table tr:hover td { background: var(--navy-soft); }\n456:.src-table a { color: var(--blue); font-weight: 600; border-bottom: 1.5px solid rgba(28, 92, 65, 0.35); }\n457:.pill { display: inline-block; border-radius: var(--r-pill); padding: 3px 10px; font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em; }\n458:.pill.ok { background: var(--blue-soft); color: var(--blue); }\n459:.pill.todo { background: var(--orange-soft); color: var(--orange-deep); }","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a1b6f028-4fe3-4787-8d66-195a5ba51cda","timestamp":"2026-08-25T00:02:11.442Z","tool_use_result":{"stdout":"  return (\n    <>\n      <div className=\"prefooter\">\n        <div className=\"container\">\n          <span className=\"baseline\">\n            <b>Lou-Ka</b> — La porte d'entrée vers votre prochain chez-vous.\n            Agrégateur indépendant : chaque fiche renvoie vers l'annonce originale.\n          </span>\n          <NavLink to=\"/\">Logements</NavLink>\n          <NavLink to=\"/court-terme\">Court terme</NavLink>\n          <NavLink to=\"/villes\">Villes</NavLink>\n          <NavLink to=\"/stats\">Stats</NavLink>\n          <NavLink to=\"/sources\">Sources</NavLink>\n          <NavLink to=\"/contact\">Contact</NavLink>\n          <button\n            className=\"flink\"\n            onClick={() => window.dispatchEvent(new Event(\"louka:openConsent\"))}\n          >\n            Gérer mes témoins\n          </button>\n        </div>\n      </div>\n      <KaFooter\n        siteId=\"lou-ka\"\n        localLegal={[\n          { label: \"Documentation\", href: \"/doc/\" },\n          { label: \"Conditions d'utilisation (Lou-Ka)\", href: \"/conditions\" },\n          { label: \"Confidentialité (Lou-Ka)\", href: \"/confidentialite\" },\n        ]}\n      />\n    </>\n  );\n}\n\n/** Barre de navigation inférieure (mobile) — icône active en orange. */\nfunction MobileTabBar() {\n  const location = useLocation();\n  const isCarte = new URLSearchParams(location.search).get(\"view\") === \"carte\";\n  const tabs = [\n    { to: \"/\", label: \"Rechercher\", icon: <IcoSearch size={20} />, on: location.pathname === \"/\" && !isCarte },\n    { to: \"/?view=carte\", label: \"Carte\", icon: <IcoMap size={20} />, on: location.pathname === \"/\" && isCarte },\n===API===\n520:export async function fetchSearch(\n594:export const fetchSources = () => get<{ sources: Source[] }>(\"/api/sources\");\n643:export async function uploadAvatar(file: File): Promise<string | null> {\n711:export async function fetchMe(): Promise<Me | null> {\n===STYLES src-table===\n231:.pills { display: flex; flex-wrap: wrap; gap: 8px; margin: 10px 0 2px; }\n232:.pill {\n238:.pill:hover { background: var(--blue); color: var(--white); }\n239:.pill-x { font-size: 10px; opacity: 0.65; }\n240:.pill-clear { background: var(--surface); border-color: var(--danger); color: var(--danger); }\n241:.pill-clear:hover { background: var(--danger); color: #fff; }\n447:.src-table { width: 100%; border-collapse: separate; border-spacing: 0; min-width: 720px; }\n448:.src-table th {\n453:.src-table td { padding: 13px 18px; border-bottom: 1px solid var(--line); font-size: 14px; vertical-align: top; }\n454:.src-table tr:last-child td { border-bottom: none; }\n455:.src-table tr:hover td { background: var(--navy-soft); }\n456:.src-table a { color: var(--blue); font-weight: 600; border-bottom: 1.5px solid rgba(28, 92, 65, 0.35); }\n457:.pill { display: inline-block; border-radius: var(--r-pill); padding: 3px 10px; font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em; }\n458:.pill.ok { background: var(--blue-soft); color: var(--blue); }\n459:.pill.todo { background: var(--orange-soft); color: var(--orange-deep); }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV7y56fZEbV8vfx6U95","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CazqJfRzaHXQapQx2d29K8","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && grep -n \"include_router\\|^from\\|^import\" louka/web.py | head -25 && echo \"===GITIGNORE===\" && cat .gitignore && echo \"===DATA===\" && ls data | head -15'","description":"Check lou-ka router includes and gitignore/data"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5353,"cache_read_input_tokens":71724,"cache_creation":{"ephemeral_5m_input_tokens":5353,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0bb5bb99-b843-42fd-a6b9-af8cd9eafa12","request_id":"req_011CeNV7wbo8kU4qi6bzGAmV"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && grep -n \"include_router\\|^from\\|^import\" louka/web.py | head -25 && echo \"===GITIGNORE===\" && cat .gitignore && echo \"===DATA===\" && ls data | head -15'","description":"Check lou-ka router includes and gitignore/data"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CazqJfRzaHXQapQx2d29K8","type":"tool_result","content":"6:from __future__ import annotations\n8:import json\n9:import threading\n10:from pathlib import Path\n12:from fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query\n13:from fastapi.middleware.cors import CORSMiddleware\n14:from fastapi.middleware.gzip import GZipMiddleware\n15:from fastapi.responses import FileResponse, RedirectResponse\n16:from fastapi.staticfiles import StaticFiles\n18:from . import auth, db, ingest\n33:app.include_router(auth.router)\n36:from . import accounts  # noqa: E402  (import tardif : évite le cycle web<->accounts)\n37:app.include_router(accounts.router)\n40:from . import profile as user_profile  # noqa: E402\n41:app.include_router(user_profile.router)\n44:from .shortterm import web as ct_web  # noqa: E402\n45:app.include_router(ct_web.router)\n947:    app.include_router(seo.router)\n===GITIGNORE===\n.env\n.venv/\n__pycache__/\n*.pyc\ndata/louka.db\nfrontend/node_modules/\nfrontend/dist/\n.DS_Store\nreponse.txt\ndata/staging-*.db\ndata/quartier.db\n\n# app iOS native — dépôt séparé (git.spboucher.ai/lou-ka-ios)\n/ios/\ndata/uploads/\ndata/imgcache/\ndata/louka.db-shm\ndata/louka.db-wal\ndata/louka.db.backup-*\nbackup-connectors-*/\nnode_modules/\ndata/imgcache/\ndata/louka.db-shm\ndata/louka.db-wal\ndata/louka.db.backup-*\ndata/louka_ct.db\ndata/louka_ct.db-shm\ndata/louka_ct.db-wal\nfrontend/tsconfig.tsbuildinfo\ndata/rdl.db\ndata/inondation.db\ndata/air.db\ndata/gaz.db\ndata/commerces.db\ndata/transit.db\ndata/hydro.db\ndata/tal.db\n===DATA===\nair.db\ncommerces.db\ngaz.db\nhydro.db\nimgcache\ninondation.db\nlouka.db\nlouka.db-shm\nlouka.db-wal\nlouka.db.backup-avant-m1\nlouka_ct.db\nquartier.db\nrdl.db\nsources.json\nsources_ct.json","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a2bd467c-ea5c-4f38-b6c1-2126b2cfc1e9","timestamp":"2026-08-25T00:02:32.495Z","tool_use_result":{"stdout":"6:from __future__ import annotations\n8:import json\n9:import threading\n10:from pathlib import Path\n12:from fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query\n13:from fastapi.middleware.cors import CORSMiddleware\n14:from fastapi.middleware.gzip import GZipMiddleware\n15:from fastapi.responses import FileResponse, RedirectResponse\n16:from fastapi.staticfiles import StaticFiles\n18:from . import auth, db, ingest\n33:app.include_router(auth.router)\n36:from . import accounts  # noqa: E402  (import tardif : évite le cycle web<->accounts)\n37:app.include_router(accounts.router)\n40:from . import profile as user_profile  # noqa: E402\n41:app.include_router(user_profile.router)\n44:from .shortterm import web as ct_web  # noqa: E402\n45:app.include_router(ct_web.router)\n947:    app.include_router(seo.router)\n===GITIGNORE===\n.env\n.venv/\n__pycache__/\n*.pyc\ndata/louka.db\nfrontend/node_modules/\nfrontend/dist/\n.DS_Store\nreponse.txt\ndata/staging-*.db\ndata/quartier.db\n\n# app iOS native — dépôt séparé (git.spboucher.ai/lou-ka-ios)\n/ios/\ndata/uploads/\ndata/imgcache/\ndata/louka.db-shm\ndata/louka.db-wal\ndata/louka.db.backup-*\nbackup-connectors-*/\nnode_modules/\ndata/imgcache/\ndata/louka.db-shm\ndata/louka.db-wal\ndata/louka.db.backup-*\ndata/louka_ct.db\ndata/louka_ct.db-shm\ndata/louka_ct.db-wal\nfrontend/tsconfig.tsbuildinfo\ndata/rdl.db\ndata/inondation.db\ndata/air.db\ndata/gaz.db\ndata/commerces.db\ndata/transit.db\ndata/hydro.db\ndata/tal.db\n===DATA===\nair.db\ncommerces.db\ngaz.db\nhydro.db\nimgcache\ninondation.db\nlouka.db\nlouka.db-shm\nlouka.db-wal\nlouka.db.backup-avant-m1\nlouka_ct.db\nquartier.db\nrdl.db\nsources.json\nsources_ct.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"render_for_path\" -A 30 immoka/seo.py | head -45 && echo \"===GITIGNORE===\" && cat .gitignore && echo \"===DATA===\" && ls data | head -15 && echo \"===NAV===\" && grep -n \"NavLink to=\\|prefooter\" frontend/src/App.tsx | head -25 && echo \"===CSS===\" && grep -n \"src-table\\|kicker\" frontend/src/styles.css | head -8'","description":"Check immo-ka render_for_path, gitignore, nav, css"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RLaGgz5xRGzfWt7hdZ2G9c","type":"tool_result","content":"794:def render_for_path(path: str, query: dict) -> Response | None:\n795-    \"\"\"HTML SEO pour `path` (ex. « /a-vendre/levis »), ou None → index brut.\"\"\"\n796-    path = path.rstrip(\"/\") or \"/\"\n797-    try:\n798-        page = max(1, int(query.get(\"page\", \"1\")))\n799-    except ValueError:\n800-        page = 1\n801-\n802-    if path == \"/\":\n803-        return render_home()\n804-    if path in _STATIC_META:\n805-        return render_static(path)\n806-\n807-    parts = [p for p in path.split(\"/\") if p]\n808-    if parts[0] == \"propriete\" and len(parts) in (2, 3):\n809-        return render_listing(parts[1], parts[2] if len(parts) == 3 else None)\n810-    if parts[0] == \"a-vendre\" and len(parts) in (2, 3):\n811-        return _render_category(parts[1], parts[2] if len(parts) == 3 else None, page)\n812-    if parts[0] == \"type\" and len(parts) == 2:\n813-        return _render_category(None, parts[1], page)\n814-    return render_404()\n===GITIGNORE===\n.venv/\n__pycache__/\n*.pyc\n.env\ndata/immoka.db\ndata/*.db-journal\ndata/*.db-wal\ndata/*.db-shm\nnode_modules/\nfrontend/dist/\nfrontend/tsconfig.tsbuildinfo\n.DS_Store\ndata/vraiprix.db\n*.bak-*\ndata/inondation.db\ndata/air.db\ndata/gaz.db\ndata/transit.db\ndata/commerces.db\ndata/hydro.db\ndata/rdl.db\ndata/mortgage.db\n===DATA===\nair.db\ncentury21_agencies.json\ncommerces.db\ngaz.db\nhydro.db\nimmoka.db\nimmoka.db-shm\nimmoka.db-wal\ninondation.db\nmortgage.db\nquartier.db\nrdl.db\nremax_agencies.json\nsource_immo_agencies.json\nsource_immo_agencies.json.bak-20260816\n===NAV===\n105:      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n143:          <NavLink to=\"/\" className=\"brand\" aria-label=\"Immo-Ka — accueil\">\n148:            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n151:            <NavLink to=\"/taux-hypothecaires\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n154:            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n157:            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n160:            <NavLink to=\"/contact\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n===CSS===\n28:.kicker {\n33:.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }\n230:.price-kicker { font-family: var(--font-mono); font-size: 10px; text-transform: uppercase; letter-spacing: 0.14em; color: var(--green); }\n231:.price-kicker::before { content: \"\"; display: inline-block; width: 16px; height: 2px; background: var(--lime); vertical-align: 3px; margin-right: 7px; }\n302:.src-table { width: 100%; border-collapse: separate; border-spacing: 0; min-width: 760px; }\n303:.src-table th { text-align: left; font-family: var(--font-mono); font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3); padding: 14px 18px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2); }\n304:.src-table td { padding: 13px 18px; border-bottom: 1px solid var(--line); font-size: 14px; vertical-align: top; }\n305:.src-table tr:last-child td { border-bottom: none; }","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2b5aef6d-0999-4bba-b531-ac40bc337b84","timestamp":"2026-08-25T00:02:34.661Z","tool_use_result":{"stdout":"794:def render_for_path(path: str, query: dict) -> Response | None:\n795-    \"\"\"HTML SEO pour `path` (ex. « /a-vendre/levis »), ou None → index brut.\"\"\"\n796-    path = path.rstrip(\"/\") or \"/\"\n797-    try:\n798-        page = max(1, int(query.get(\"page\", \"1\")))\n799-    except ValueError:\n800-        page = 1\n801-\n802-    if path == \"/\":\n803-        return render_home()\n804-    if path in _STATIC_META:\n805-        return render_static(path)\n806-\n807-    parts = [p for p in path.split(\"/\") if p]\n808-    if parts[0] == \"propriete\" and len(parts) in (2, 3):\n809-        return render_listing(parts[1], parts[2] if len(parts) == 3 else None)\n810-    if parts[0] == \"a-vendre\" and len(parts) in (2, 3):\n811-        return _render_category(parts[1], parts[2] if len(parts) == 3 else None, page)\n812-    if parts[0] == \"type\" and len(parts) == 2:\n813-        return _render_category(None, parts[1], page)\n814-    return render_404()\n===GITIGNORE===\n.venv/\n__pycache__/\n*.pyc\n.env\ndata/immoka.db\ndata/*.db-journal\ndata/*.db-wal\ndata/*.db-shm\nnode_modules/\nfrontend/dist/\nfrontend/tsconfig.tsbuildinfo\n.DS_Store\ndata/vraiprix.db\n*.bak-*\ndata/inondation.db\ndata/air.db\ndata/gaz.db\ndata/transit.db\ndata/commerces.db\ndata/hydro.db\ndata/rdl.db\ndata/mortgage.db\n===DATA===\nair.db\ncentury21_agencies.json\ncommerces.db\ngaz.db\nhydro.db\nimmoka.db\nimmoka.db-shm\nimmoka.db-wal\ninondation.db\nmortgage.db\nquartier.db\nrdl.db\nremax_agencies.json\nsource_immo_agencies.json\nsource_immo_agencies.json.bak-20260816\n===NAV===\n105:      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n143:          <NavLink to=\"/\" className=\"brand\" aria-label=\"Immo-Ka — accueil\">\n148:            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n151:            <NavLink to=\"/taux-hypothecaires\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n154:            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n157:            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n160:            <NavLink to=\"/contact\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n===CSS===\n28:.kicker {\n33:.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }\n230:.price-kicker { font-family: var(--font-mono); font-size: 10px; text-transform: uppercase; letter-spacing: 0.14em; color: var(--green); }\n231:.price-kicker::before { content: \"\"; display: inline-block; width: 16px; height: 2px; background: var(--lime); vertical-align: 3px; margin-right: 7px; }\n302:.src-table { width: 100%; border-collapse: separate; border-spacing: 0; min-width: 760px; }\n303:.src-table th { text-align: left; font-family: var(--font-mono); font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3); padding: 14px 18px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2); }\n304:.src-table td { padding: 13px 18px; border-bottom: 1px solid var(--line); font-size: 14px; vertical-align: top; }\n305:.src-table tr:last-child td { border-bottom: none; }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV9gFNisSM9Q7JSehya","type":"message","role":"assistant","content":[{"type":"text","text":"Tout est clair. Je vérifie l'avancement du balayage."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3744,"cache_read_input_tokens":77077,"cache_creation":{"ephemeral_5m_input_tokens":3744,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"5a952999-aeea-4259-8bea-e7efcf1fe19f","request_id":"req_011CeNV9emL3WiHGQ8wFT12B"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNV9gFNisSM9Q7JSehya","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013A9E1sKhgTTKrNDwZU739z","name":"Bash","input":{"command":"tail -5 /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/b7zsy4etq.output 2>/dev/null; ls -la ~/ka-orchestrator/demenageurs/ 2>/dev/null","description":"Check sweep progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3744,"cache_read_input_tokens":77077,"cache_creation":{"ephemeral_5m_input_tokens":3744,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c794d718-5a06-4316-9e11-2b791f0ae1fe","request_id":"req_011CeNV9emL3WiHGQ8wFT12B"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013A9E1sKhgTTKrNDwZU739z","type":"tool_result","content":"   Mauricie: 18\n   Abitibi-Témiscamingue: 10\n   Côte-Nord: 7\n   Gaspésie–Îles-de-la-Madeleine: 6\n   Nord-du-Québec: 1\ntotal 512\ndrwxr-xr-x@ 4 simon-pierreboucher  staff     128 Aug 24 20:02 .\ndrwxr-xr-x  5 simon-pierreboucher  staff     160 Aug 24 20:01 ..\n-rw-r--r--@ 1 simon-pierreboucher  staff   10768 Aug 24 20:01 build_demenageurs.py\n-rw-r--r--@ 1 simon-pierreboucher  staff  248263 Aug 24 20:02 demenageurs.json","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0c2ed222-1351-4f56-b719-bcefac3b12bd","timestamp":"2026-08-25T00:03:02.579Z","tool_use_result":{"stdout":"   Mauricie: 18\n   Abitibi-Témiscamingue: 10\n   Côte-Nord: 7\n   Gaspésie–Îles-de-la-Madeleine: 6\n   Nord-du-Québec: 1\ntotal 512\ndrwxr-xr-x@ 4 simon-pierreboucher  staff     128 Aug 24 20:02 .\ndrwxr-xr-x  5 simon-pierreboucher  staff     160 Aug 24 20:01 ..\n-rw-r--r--@ 1 simon-pierreboucher  staff   10768 Aug 24 20:01 build_demenageurs.py\n-rw-r--r--@ 1 simon-pierreboucher  staff  248263 Aug 24 20:02 demenageurs.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"158997c6-fe60-42db-9616-3066ba3998f3","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVBji3WvpyDNDALm2fe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HKiu3P3WdeBuYe6yep5AA8","name":"Bash","input":{"command":"tail -25 /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/b7zsy4etq.output && python3 -c \"\nimport json\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs.json'))\nprint('count', d['count'])\nms=d['movers']\nprint('avec site web:', sum(1 for m in ms if m['website']))\nprint('avec téléphone:', sum(1 for m in ms if m['phone']))\nprint('avec note:', sum(1 for m in ms if m['rating']))\nprint('villes:', len({m['city'] for m in ms}))\nimport collections\nprint(collections.Counter(m['category'] for m in ms).most_common(8))\nprint(json.dumps(ms[0], ensure_ascii=False))\n\"","description":"Inspect sweep results and dataset quality"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":552,"cache_creation_input_tokens":2267,"cache_read_input_tokens":80821,"cache_creation":{"ephemeral_5m_input_tokens":2267,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b0f01a5f-7586-41f2-8412-5d27a445660e","request_id":"req_011CeNVBi9mxR1c6i7Rd4KQz"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"tail -25 /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/b7zsy4etq.output && python3 -c \"\nimport json\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs.json'))\nprint('count', d['count'])\nms=d['movers']\nprint('avec site web:', sum(1 for m in ms if m['website']))\nprint('avec téléphone:', sum(1 for m in ms if m['phone']))\nprint('avec note:', sum(1 for m in ms if m['rating']))\nprint('villes:', len({m['city'] for m in ms}))\nimport collections\nprint(collections.Counter(m['category'] for m in ms).most_common(8))\nprint(json.dumps(ms[0], ensure_ascii=False))\n\"","description":"Inspect sweep results and dataset quality"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HKiu3P3WdeBuYe6yep5AA8","type":"tool_result","content":"  … 50/188 villes, 709 fiches brutes, 135 requêtes\n  … 75/188 villes, 1034 fiches brutes, 201 requêtes\n  … 100/188 villes, 1362 fiches brutes, 257 requêtes\n  … 125/188 villes, 1645 fiches brutes, 328 requêtes\n  … 150/188 villes, 2070 fiches brutes, 392 requêtes\n  … 175/188 villes, 2365 fiches brutes, 447 requêtes\n\n✅ 565 déménageurs uniques (3843 fiches brutes, 487 requêtes Serper) → /Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs.json\n   Montréal: 109\n   Montérégie: 63\n   Estrie: 56\n   Capitale-Nationale: 55\n   Laurentides: 39\n   Lanaudière: 38\n   Outaouais: 38\n   Bas-Saint-Laurent: 33\n   Chaudière-Appalaches: 27\n   Centre-du-Québec: 22\n   Laval: 22\n   Saguenay–Lac-Saint-Jean: 21\n   Mauricie: 18\n   Abitibi-Témiscamingue: 10\n   Côte-Nord: 7\n   Gaspésie–Îles-de-la-Madeleine: 6\n   Nord-du-Québec: 1\ncount 565\navec site web: 434\navec téléphone: 548\navec note: 152\nvilles: 182\n[('Entreprise de déménagement', 330), ('', 160), (\"Service de déménagement et d'entreposage\", 52), ('Service de transport', 15), ('Entreprise de déménagement de pianos', 4), ('Organisme sans but lucratif', 1), ('Entrepreneur général', 1), ('Association ou organisation', 1)]\n{\"id\": \"transport-mc-amos\", \"name\": \"Transport mc\", \"city\": \"Amos\", \"region\": \"Abitibi-Témiscamingue\", \"address\": \"\", \"phone\": \"(819) 333-0469\", \"website\": \"http://www.transport-mc.com/\", \"rating\": null, \"reviews\": null, \"lat\": null, \"lng\": null, \"category\": \"Entreprise de déménagement\", \"cid\": \"6368252111147952517\"}","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"8d4f7824-88be-4b93-8ba0-899284fbeca4","timestamp":"2026-08-25T00:03:19.894Z","tool_use_result":{"stdout":"  … 50/188 villes, 709 fiches brutes, 135 requêtes\n  … 75/188 villes, 1034 fiches brutes, 201 requêtes\n  … 100/188 villes, 1362 fiches brutes, 257 requêtes\n  … 125/188 villes, 1645 fiches brutes, 328 requêtes\n  … 150/188 villes, 2070 fiches brutes, 392 requêtes\n  … 175/188 villes, 2365 fiches brutes, 447 requêtes\n\n✅ 565 déménageurs uniques (3843 fiches brutes, 487 requêtes Serper) → /Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs.json\n   Montréal: 109\n   Montérégie: 63\n   Estrie: 56\n   Capitale-Nationale: 55\n   Laurentides: 39\n   Lanaudière: 38\n   Outaouais: 38\n   Bas-Saint-Laurent: 33\n   Chaudière-Appalaches: 27\n   Centre-du-Québec: 22\n   Laval: 22\n   Saguenay–Lac-Saint-Jean: 21\n   Mauricie: 18\n   Abitibi-Témiscamingue: 10\n   Côte-Nord: 7\n   Gaspésie–Îles-de-la-Madeleine: 6\n   Nord-du-Québec: 1\ncount 565\navec site web: 434\navec téléphone: 548\navec note: 152\nvilles: 182\n[('Entreprise de déménagement', 330), ('', 160), (\"Service de déménagement et d'entreposage\", 52), ('Service de transport', 15), ('Entreprise de déménagement de pianos', 4), ('Organisme sans but lucratif', 1), ('Entrepreneur général', 1), ('Association ou organisation', 1)]\n{\"id\": \"transport-mc-amos\", \"name\": \"Transport mc\", \"city\": \"Amos\", \"region\": \"Abitibi-Témiscamingue\", \"address\": \"\", \"phone\": \"(819) 333-0469\", \"website\": \"http://www.transport-mc.com/\", \"rating\": null, \"reviews\": null, \"lat\": null, \"lng\": null, \"category\": \"Entreprise de déménagement\", \"cid\": \"6368252111147952517\"}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVD2CkveGsuCudTsgE6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W8RqF16HBFLdSwFUf7jC1C","name":"TaskUpdate","input":{"taskId":"1","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1716,"cache_read_input_tokens":83088,"cache_creation":{"ephemeral_5m_input_tokens":1716,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"8cb9edb0-95b3-4e16-9182-6351af12e031","request_id":"req_011CeNVCz9yKzoQvG4wcmwJq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W8RqF16HBFLdSwFUf7jC1C","type":"tool_result","content":"Updated task #1 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b26b9b47-071c-4b3e-b456-39bd9bfe9e2f","timestamp":"2026-08-25T00:03:33.787Z","tool_use_result":{"success":true,"taskId":"1","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HoCFJTdm7tM2tmVnjb7hMN","type":"tool_result","content":"Updated task #2 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c885ebd3-b84e-4c1c-9602-a6aca0bf929f","timestamp":"2026-08-25T00:03:34.461Z","tool_use_result":{"success":true,"taskId":"2","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVD2CkveGsuCudTsgE6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FMhMA712Xa9XjTuv5z9gES","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"1,60p\" frontend/src/pages/Sources.tsx && echo \"===PAGE SIG===\" && sed -n \"168,208p\" immoka/seo.py'","description":"Check immo-ka Sources.tsx conventions and _page signature"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1716,"cache_read_input_tokens":83088,"cache_creation":{"ephemeral_5m_input_tokens":1716,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"73772566-ba86-40c4-a2fd-578779d72721","request_id":"req_011CeNVCz9yKzoQvG4wcmwJq"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FMhMA712Xa9XjTuv5z9gES","type":"tool_result","content":"// -----------------------------------------------------------------------------\n// Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Sources.tsx : registre des agences — éclaté par bannière → sous-agence\n// -----------------------------------------------------------------------------\nimport { Ico } from \"../components/Icons\";\nimport { useEffect, useState } from \"react\";\nimport { Link } from \"react-router-dom\";\nimport { Franchise, fetchAgencies } from \"../api\";\n\nexport default function SourcesPage() {\n  const [data, setData] = useState<Franchise[] | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [open, setOpen] = useState<Record<string, boolean>>({});\n\n  useEffect(() => {\n    fetchAgencies().then((r) => setData(r.franchises)).catch((e) => setError(String(e)));\n  }, []);\n\n  const totalProps = (data ?? []).reduce((s, f) => s + f.total, 0);\n  const totalSub = (data ?? []).reduce((s, f) => s + f.sub_agencies, 0);\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Registre — agences & sous-agences</span>\n      <h1>Sources par sous-agence</h1>\n      <p className=\"sub\">\n        Chaque bannière immobilière du Québec est éclatée par sous-agence (bureau).\n        Chaque annonce est synchronisée par un connecteur dédié et dédoublonnée par\n        numéro Centris. Cliquez un compte pour voir les propriétés.\n      </p>\n\n      {error && <div className=\"notice\"> {error}</div>}\n      {!data && !error && <div className=\"notice\">Chargement…</div>}\n\n      {data && (\n        <>\n          <p className=\"stats-foot\" style={{ marginTop: 0 }}>\n            <b>{totalProps.toLocaleString(\"fr-CA\")}</b> propriétés ·{\" \"}\n            <b>{data.length}</b> bannières ·{\" \"}\n            <b>{totalSub.toLocaleString(\"fr-CA\")}</b> sous-agences\n          </p>\n\n          <div className=\"franchise-list\">\n            {data.map((f) => {\n              const isOpen = open[f.franchise] ?? false;\n              return (\n                <div className=\"franchise\" key={f.franchise}>\n                  <button\n                    className=\"franchise-head\"\n                    onClick={() => setOpen({ ...open, [f.franchise]: !isOpen })}\n                    aria-expanded={isOpen}\n                  >\n                    <span className=\"fh-caret\">{isOpen ? \"▾\" : \"▸\"}</span>\n                    <span className=\"fh-name\">{f.franchise}</span>\n                    <span className=\"fh-sub\">\n                      {f.sub_agencies} sous-agence{f.sub_agencies > 1 ? \"s\" : \"\"}\n                    </span>\n                    <span className=\"fh-count\">{f.total.toLocaleString(\"fr-CA\")}</span>\n                  </button>\n===PAGE SIG===\ndef _page(title: str, description: str, canonical: str, body: str,\n          jsonld: list[dict] | None = None, og_image: str | None = None,\n          og_type: str = \"website\", noindex: bool = False,\n          status: int = 200) -> HTMLResponse:\n    head = [\n        f\"<title>{_esc(title)}</title>\",\n        f'<meta name=\"description\" content=\"{_esc(description)}\" />',\n        f'<link rel=\"canonical\" href=\"{_esc(canonical)}\" />',\n        f'<meta property=\"og:site_name\" content=\"{SITE_NAME}\" />',\n        '<meta property=\"og:locale\" content=\"fr_CA\" />',\n        f'<meta property=\"og:type\" content=\"{og_type}\" />',\n        f'<meta property=\"og:title\" content=\"{_esc(title)}\" />',\n        f'<meta property=\"og:description\" content=\"{_esc(description)}\" />',\n        f'<meta property=\"og:url\" content=\"{_esc(canonical)}\" />',\n    ]\n    if og_image:\n        head.append(f'<meta property=\"og:image\" content=\"{_esc(og_image)}\" />')\n    else:\n        og_image = BASE_URL + \"/og.png\"\n        head.append(f'<meta property=\"og:image\" content=\"{_esc(og_image)}\" />')\n        head.append('<meta property=\"og:image:width\" content=\"1200\" />')\n        head.append('<meta property=\"og:image:height\" content=\"630\" />')\n    head.append('<meta name=\"twitter:card\" content=\"summary_large_image\" />')\n    head.append(f'<meta name=\"twitter:image\" content=\"{_esc(og_image)}\" />')\n    if noindex:\n        head.append('<meta name=\"robots\" content=\"noindex\" />')\n    for obj in (jsonld or []):\n        head.append('<script type=\"application/ld+json\">'\n                    + json.dumps(obj, ensure_ascii=False) + \"</script>\")\n    tpl = _template()\n    out = tpl.replace(\"</head>\", \"    \" + \"\\n    \".join(head) + \"\\n  </head>\", 1)\n    out = out.replace('<div id=\"root\"></div>',\n                      f'<div id=\"root\"><div class=\"container seo-ssr\">{body}</div></div>', 1)\n    return HTMLResponse(out, status_code=status)\n\n\n# -----------------------------------------------------------------------------\n# Blocs HTML réutilisables\n# -----------------------------------------------------------------------------\n\ndef fiche_href(uid: str, slug: str = \"\") -> str:","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"22225975-ae0e-4c6b-8bc4-d6fc2986d139","timestamp":"2026-08-25T00:03:35.866Z","tool_use_result":{"stdout":"// -----------------------------------------------------------------------------\n// Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Sources.tsx : registre des agences — éclaté par bannière → sous-agence\n// -----------------------------------------------------------------------------\nimport { Ico } from \"../components/Icons\";\nimport { useEffect, useState } from \"react\";\nimport { Link } from \"react-router-dom\";\nimport { Franchise, fetchAgencies } from \"../api\";\n\nexport default function SourcesPage() {\n  const [data, setData] = useState<Franchise[] | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [open, setOpen] = useState<Record<string, boolean>>({});\n\n  useEffect(() => {\n    fetchAgencies().then((r) => setData(r.franchises)).catch((e) => setError(String(e)));\n  }, []);\n\n  const totalProps = (data ?? []).reduce((s, f) => s + f.total, 0);\n  const totalSub = (data ?? []).reduce((s, f) => s + f.sub_agencies, 0);\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Registre — agences & sous-agences</span>\n      <h1>Sources par sous-agence</h1>\n      <p className=\"sub\">\n        Chaque bannière immobilière du Québec est éclatée par sous-agence (bureau).\n        Chaque annonce est synchronisée par un connecteur dédié et dédoublonnée par\n        numéro Centris. Cliquez un compte pour voir les propriétés.\n      </p>\n\n      {error && <div className=\"notice\"> {error}</div>}\n      {!data && !error && <div className=\"notice\">Chargement…</div>}\n\n      {data && (\n        <>\n          <p className=\"stats-foot\" style={{ marginTop: 0 }}>\n            <b>{totalProps.toLocaleString(\"fr-CA\")}</b> propriétés ·{\" \"}\n            <b>{data.length}</b> bannières ·{\" \"}\n            <b>{totalSub.toLocaleString(\"fr-CA\")}</b> sous-agences\n          </p>\n\n          <div className=\"franchise-list\">\n            {data.map((f) => {\n              const isOpen = open[f.franchise] ?? false;\n              return (\n                <div className=\"franchise\" key={f.franchise}>\n                  <button\n                    className=\"franchise-head\"\n                    onClick={() => setOpen({ ...open, [f.franchise]: !isOpen })}\n                    aria-expanded={isOpen}\n                  >\n                    <span className=\"fh-caret\">{isOpen ? \"▾\" : \"▸\"}</span>\n                    <span className=\"fh-name\">{f.franchise}</span>\n                    <span className=\"fh-sub\">\n                      {f.sub_agencies} sous-agence{f.sub_agencies > 1 ? \"s\" : \"\"}\n                    </span>\n                    <span className=\"fh-count\">{f.total.toLocaleString(\"fr-CA\")}</span>\n                  </button>\n===PAGE SIG===\ndef _page(title: str, description: str, canonical: str, body: str,\n          jsonld: list[dict] | None = None, og_image: str | None = None,\n          og_type: str = \"website\", noindex: bool = False,\n          status: int = 200) -> HTMLResponse:\n    head = [\n        f\"<title>{_esc(title)}</title>\",\n        f'<meta name=\"description\" content=\"{_esc(description)}\" />',\n        f'<link rel=\"canonical\" href=\"{_esc(canonical)}\" />',\n        f'<meta property=\"og:site_name\" content=\"{SITE_NAME}\" />',\n        '<meta property=\"og:locale\" content=\"fr_CA\" />',\n        f'<meta property=\"og:type\" content=\"{og_type}\" />',\n        f'<meta property=\"og:title\" content=\"{_esc(title)}\" />',\n        f'<meta property=\"og:description\" content=\"{_esc(description)}\" />',\n        f'<meta property=\"og:url\" content=\"{_esc(canonical)}\" />',\n    ]\n    if og_image:\n        head.append(f'<meta property=\"og:image\" content=\"{_esc(og_image)}\" />')\n    else:\n        og_image = BASE_URL + \"/og.png\"\n        head.append(f'<meta property=\"og:image\" content=\"{_esc(og_image)}\" />')\n        head.append('<meta property=\"og:image:width\" content=\"1200\" />')\n        head.append('<meta property=\"og:image:height\" content=\"630\" />')\n    head.append('<meta name=\"twitter:card\" content=\"summary_large_image\" />')\n    head.append(f'<meta name=\"twitter:image\" content=\"{_esc(og_image)}\" />')\n    if noindex:\n        head.append('<meta name=\"robots\" content=\"noindex\" />')\n    for obj in (jsonld or []):\n        head.append('<script type=\"application/ld+json\">'\n                    + json.dumps(obj, ensure_ascii=False) + \"</script>\")\n    tpl = _template()\n    out = tpl.replace(\"</head>\", \"    \" + \"\\n    \".join(head) + \"\\n  </head>\", 1)\n    out = out.replace('<div id=\"root\"></div>',\n                      f'<div id=\"root\"><div class=\"container seo-ssr\">{body}</div></div>', 1)\n    return HTMLResponse(out, status_code=status)\n\n\n# -----------------------------------------------------------------------------\n# Blocs HTML réutilisables\n# -----------------------------------------------------------------------------\n\ndef fiche_href(uid: str, slug: str = \"\") -> str:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"ef4a8f65-2bbb-4145-b0a5-85d147feed24","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":150,"uuid":"bf636acb-395d-403c-ae8f-7ed8d4471255","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"ee36d6fa-b104-4dbe-a55c-cfc6b6a30048","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":50,"uuid":"94e0d56f-7bd6-4467-be65-c242c295029b","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":100,"uuid":"bd3f17eb-3e3c-491e-a143-fe072a2a138a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":150,"uuid":"e23125c2-2241-4267-8cc8-bcdee34e74f4","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":100,"uuid":"ffcc50f5-c250-46e2-bb36-e9fd9c41546e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"7a7a5d51-d9d7-4afb-839a-1193a3805642","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1500,"estimated_tokens_delta":100,"uuid":"c97511c1-8d68-49f6-8c22-a77ecfdcd714","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1800,"estimated_tokens_delta":50,"uuid":"b2b409ce-2879-4d8d-b6ae-70fc22a49ee5","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1950,"estimated_tokens_delta":150,"uuid":"df5c10ff-d49e-41a3-b0da-a857a855717c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2100,"estimated_tokens_delta":150,"uuid":"df9148d7-5893-4bf3-9289-06ea3ca8cf13","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2250,"estimated_tokens_delta":150,"uuid":"8d1e42d0-8e87-4545-9f15-5ac83cf8a348","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVECCoD6KDDEpWW7xUY","type":"message","role":"assistant","content":[{"type":"text","text":"J'écris maintenant tous les artefacts partagés localement, puis je récupère les ancrages exacts pour les patchs."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2892,"cache_read_input_tokens":84804,"cache_creation":{"ephemeral_5m_input_tokens":2892,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"ab9dbc85-31f6-4c42-979f-c1e4587333c6","request_id":"req_011CeNVEAtv5SrxuxTYLZ3Xe"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVECCoD6KDDEpWW7xUY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DNvyngKAq6DBqPaFfY3wKJ","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec (module partagé Lou-Ka/Immo-Ka)\n# demenageurs.py : sert data/demenageurs.json — 565+ entreprises de déménagement\n# couvrant les 17 régions administratives (balayage Google Places via Serper).\n# Régénération du dataset : scripts/build_demenageurs.py puis remplacer le JSON\n# (identique sur Lou-Ka et Immo-Ka — garder les deux copies synchronisées).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"demenageurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des déménageurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/demenageurs\")\ndef api_demenageurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire complet des déménageurs du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2892,"cache_read_input_tokens":84804,"cache_creation":{"ephemeral_5m_input_tokens":2892,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d89e3215-4a21-44b0-8a02-e2cb01ccf4b2","request_id":"req_011CeNVEAtv5SrxuxTYLZ3Xe"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec (module partagé Lou-Ka/Immo-Ka)\n# demenageurs.py : sert data/demenageurs.json — 565+ entreprises de déménagement\n# couvrant les 17 régions administratives (balayage Google Places via Serper).\n# Régénération du dataset : scripts/build_demenageurs.py puis remplacer le JSON\n# (identique sur Lou-Ka et Immo-Ka — garder les deux copies synchronisées).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"demenageurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des déménageurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/demenageurs\")\ndef api_demenageurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire complet des déménageurs du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DNvyngKAq6DBqPaFfY3wKJ","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs_module.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f006dad0-6427-46fd-a3a7-4421a9d39244","timestamp":"2026-08-25T00:04:24.198Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/demenageurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des déménageurs du Québec (module partagé Lou-Ka/Immo-Ka)\n# demenageurs.py : sert data/demenageurs.json — 565+ entreprises de déménagement\n# couvrant les 17 régions administratives (balayage Google Places via Serper).\n# Régénération du dataset : scripts/build_demenageurs.py puis remplacer le JSON\n# (identique sur Lou-Ka et Immo-Ka — garder les deux copies synchronisées).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"demenageurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des déménageurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/demenageurs\")\ndef api_demenageurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire complet des déménageurs du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVECCoD6KDDEpWW7xUY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Um6tsqihdh4MmQdvaHyBok","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && grep -n \"^import\\|^const NAV\\|from \\\"./pages\" frontend/src/App.tsx | head -30 && sed -n \"225,245p\" frontend/src/App.tsx' ; echo \"@@@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"from \\\"./pages\\|^import\" frontend/src/App.tsx | head -20 && sed -n \"140,175p\" frontend/src/App.tsx && echo \"===WEBHEAD===\" && sed -n \"1,40p\" immoka/web.py && grep -n \"src-wrap\\|\\.sub\\b\\|notice\" frontend/src/styles.css | head -8'","description":"Get exact import/nav anchors in both App.tsx and immo-ka web.py head"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2892,"cache_read_input_tokens":84804,"cache_creation":{"ephemeral_5m_input_tokens":2892,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1a465213-6624-471c-b948-c4d97df9f770","request_id":"req_011CeNVEAtv5SrxuxTYLZ3Xe"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && grep -n \"^import\\|^const NAV\\|from \\\"./pages\" frontend/src/App.tsx | head -30 && sed -n \"225,245p\" frontend/src/App.tsx' ; echo \"@@@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"from \\\"./pages\\|^import\" frontend/src/App.tsx | head -20 && sed -n \"140,175p\" frontend/src/App.tsx && echo \"===WEBHEAD===\" && sed -n \"1,40p\" immoka/web.py && grep -n \"src-wrap\\|\\.sub\\b\\|notice\" frontend/src/styles.css | head -8'","description":"Get exact import/nav anchors in both App.tsx and immo-ka web.py head"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Um6tsqihdh4MmQdvaHyBok","type":"tool_result","content":"6:import { useEffect, useState } from \"react\";\n7:import { createPortal } from \"react-dom\";\n8:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n9:import {\n13:import { AccountProvider, useAccount } from \"./account\";\n14:import CookieConsent from \"./components/CookieConsent\";\n15:import {\n19:import { LogoIcon } from \"./components/Logo\";\n20:import GroupeKaBadge from \"./ka/GroupeKaBadge\";\n21:import KaFooter from \"./ka/KaFooter\";\n22:import ContactPage from \"./pages/Contact\";\n23:import CourtTermePage from \"./pages/CourtTerme\";\n24:import CourtTermeFichePage from \"./pages/CourtTermeFiche\";\n25:import Home from \"./pages/Home\";\n26:import ListingPage from \"./pages/Listing\";\n27:import BotPage from \"./pages/Bot\";\n28:import JusteValeurPage from \"./pages/JusteValeur\";\n29:import KaScoresPage from \"./pages/KaScores\";\n30:import PasserellePage from \"./pages/Passerelle\";\n31:import PrivacyPage from \"./pages/Privacy\";\n32:import ProfilePage from \"./pages/Profile\";\n33:import PublicProfilePage from \"./pages/PublicProfile\";\n34:import BienvenuePage from \"./pages/Bienvenue\";\n35:import FavorisPage from \"./pages/Favoris\";\n36:import GestionPage from \"./pages/Gestion\";\n37:import GestionPublicPage from \"./pages/GestionPublic\";\n38:import TermsPage from \"./pages/Terms\";\n39:import SourcesPage from \"./pages/Sources\";\n40:import StatsPage from \"./pages/Stats\";\n41:import VillePage, { VillesPage } from \"./pages/Ville\";\n          <NavLink to=\"/\" className=\"brand\" aria-label=\"Lou-Ka — accueil\">\n            <LogoIcon size={30} />\n            Lou-<span className=\"ka\">Ka</span>\n            <span className=\"brand-tag\">La porte d'entrée vers votre prochain chez-vous.</span>\n          </NavLink>\n          <GroupeKaBadge />\n          <nav className=\"nav\" aria-label=\"Navigation principale\">\n            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Logements\n            </NavLink>\n            <NavLink to=\"/court-terme\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Court terme\n            </NavLink>\n            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Stats\n            </NavLink>\n            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>\n          <AccountMenu />\n@@@@@@@@\n7:import { Ico } from \"./components/Icons\";\n8:import { useEffect, useState } from \"react\";\n9:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n10:import { fetchFacets, fetchSources, fetchStats, registerSourceNames, sourceName } from \"./api\";\n11:import { kaLogin, useAccount } from \"./account\";\n12:import GroupeKaBadge from \"./ka/GroupeKaBadge\";\n13:import KaFooter from \"./ka/KaFooter\";\n14:import ContactPage from \"./pages/Contact\";\n15:import Home from \"./pages/Home\";\n16:import { PrivacyPage, TermsPage } from \"./pages/Legal\";\n17:import ListingPage from \"./pages/Listing\";\n18:import ProfilPage from \"./pages/Profil\";\n19:import SourcesPage from \"./pages/Sources\";\n20:import StatsPage from \"./pages/Stats\";\n21:import TauxPage from \"./pages/Taux\";\n    <>\n      <header className=\"header\">\n        <div className=\"container header-inner\">\n          <NavLink to=\"/\" className=\"brand\" aria-label=\"Immo-Ka — accueil\">\n            Immo<span className=\"ka\">Ka</span>\n          </NavLink>\n          <GroupeKaBadge />\n          <nav className=\"nav\" aria-label=\"Navigation principale\">\n            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Propriétés\n            </NavLink>\n            <NavLink to=\"/taux-hypothecaires\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Taux\n            </NavLink>\n            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Stats\n            </NavLink>\n            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>\n            <NavLink to=\"/contact\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Contact\n            </NavLink>\n          </nav>\n          <div className=\"header-acct\">\n            <AccountNav />\n          </div>\n          <button\n            className={`menu-btn ${open ? \"open\" : \"\"}`}\n            aria-expanded={open}\n            aria-label={open ? \"Fermer le menu\" : \"Ouvrir le menu\"}\n            onClick={() => setOpen(!open)}\n          >\n            <span /><span /><span />\n          </button>\n        </div>\n===WEBHEAD===\n# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend statique (frontend/)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query, Request\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, RedirectResponse, Response\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, favorites, ingest, seo\nfrom . import stats as kastats\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\n# Frontend : build Vite (React) si présent, sinon la page statique de secours.\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\nFRONTEND_DIR = FRONTEND_DIST if FRONTEND_DIST.exists() else ROOT / \"frontend\"\n\napp = FastAPI(title=\"Immo-Ka API\", version=\"0.1\",\n              description=\"Agrégateur de maisons à vendre — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n                   allow_methods=[\"*\"], allow_headers=[\"*\"])\n# le GeoJSON complet pèse ~20 Mo — la compression est vitale pour la carte\napp.add_middleware(GZipMiddleware, minimum_size=1024)\n# connexion Google (compte Groupe-Ka partagé avec Lou-Ka) — voir immoka/auth.py\napp.include_router(auth.router)\n# favoris ♥ — magasin central au hub Groupe KA, voir immoka/favorites.py\napp.include_router(favorites.router)\n# moteur hypothécaire — taux réels multibanques + calculateur canadien,\n# voir immoka/mortgage/ (docs/mortgage-engine.md)\nfrom .mortgage import api as mortgage_api  # noqa: E402\n177:.notice { text-align: center; padding: 72px 24px; color: var(--ink-2); }\n178:.notice .big { font-size: 44px; margin-bottom: 10px; }\n179:.notice h2 { text-transform: uppercase; }\n300:.sources .sub { color: var(--ink-2); margin-bottom: 30px; max-width: 720px; }\n301:.src-wrap { overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card); box-shadow: var(--shadow-off-soft); background: var(--surface); }\n315:.stats-page .sub { color: var(--ink-2); max-width: 660px; margin-bottom: 30px; }\n353:.notice .big .ico { color: var(--lime); }\n530:  .notice { padding: 48px 16px; }","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"edb254f5-7f0a-44b4-a613-0e294ec84710","timestamp":"2026-08-25T00:04:27.261Z","tool_use_result":{"stdout":"6:import { useEffect, useState } from \"react\";\n7:import { createPortal } from \"react-dom\";\n8:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n9:import {\n13:import { AccountProvider, useAccount } from \"./account\";\n14:import CookieConsent from \"./components/CookieConsent\";\n15:import {\n19:import { LogoIcon } from \"./components/Logo\";\n20:import GroupeKaBadge from \"./ka/GroupeKaBadge\";\n21:import KaFooter from \"./ka/KaFooter\";\n22:import ContactPage from \"./pages/Contact\";\n23:import CourtTermePage from \"./pages/CourtTerme\";\n24:import CourtTermeFichePage from \"./pages/CourtTermeFiche\";\n25:import Home from \"./pages/Home\";\n26:import ListingPage from \"./pages/Listing\";\n27:import BotPage from \"./pages/Bot\";\n28:import JusteValeurPage from \"./pages/JusteValeur\";\n29:import KaScoresPage from \"./pages/KaScores\";\n30:import PasserellePage from \"./pages/Passerelle\";\n31:import PrivacyPage from \"./pages/Privacy\";\n32:import ProfilePage from \"./pages/Profile\";\n33:import PublicProfilePage from \"./pages/PublicProfile\";\n34:import BienvenuePage from \"./pages/Bienvenue\";\n35:import FavorisPage from \"./pages/Favoris\";\n36:import GestionPage from \"./pages/Gestion\";\n37:import GestionPublicPage from \"./pages/GestionPublic\";\n38:import TermsPage from \"./pages/Terms\";\n39:import SourcesPage from \"./pages/Sources\";\n40:import StatsPage from \"./pages/Stats\";\n41:import VillePage, { VillesPage } from \"./pages/Ville\";\n          <NavLink to=\"/\" className=\"brand\" aria-label=\"Lou-Ka — accueil\">\n            <LogoIcon size={30} />\n            Lou-<span className=\"ka\">Ka</span>\n            <span className=\"brand-tag\">La porte d'entrée vers votre prochain chez-vous.</span>\n          </NavLink>\n          <GroupeKaBadge />\n          <nav className=\"nav\" aria-label=\"Navigation principale\">\n            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Logements\n            </NavLink>\n            <NavLink to=\"/court-terme\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Court terme\n            </NavLink>\n            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Stats\n            </NavLink>\n            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>\n          <AccountMenu />\n@@@@@@@@\n7:import { Ico } from \"./components/Icons\";\n8:import { useEffect, useState } from \"react\";\n9:import { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n10:import { fetchFacets, fetchSources, fetchStats, registerSourceNames, sourceName } from \"./api\";\n11:import { kaLogin, useAccount } from \"./account\";\n12:import GroupeKaBadge from \"./ka/GroupeKaBadge\";\n13:import KaFooter from \"./ka/KaFooter\";\n14:import ContactPage from \"./pages/Contact\";\n15:import Home from \"./pages/Home\";\n16:import { PrivacyPage, TermsPage } from \"./pages/Legal\";\n17:import ListingPage from \"./pages/Listing\";\n18:import ProfilPage from \"./pages/Profil\";\n19:import SourcesPage from \"./pages/Sources\";\n20:import StatsPage from \"./pages/Stats\";\n21:import TauxPage from \"./pages/Taux\";\n    <>\n      <header className=\"header\">\n        <div className=\"container header-inner\">\n          <NavLink to=\"/\" className=\"brand\" aria-label=\"Immo-Ka — accueil\">\n            Immo<span className=\"ka\">Ka</span>\n          </NavLink>\n          <GroupeKaBadge />\n          <nav className=\"nav\" aria-label=\"Navigation principale\">\n            <NavLink to=\"/\" end className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Propriétés\n            </NavLink>\n            <NavLink to=\"/taux-hypothecaires\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Taux\n            </NavLink>\n            <NavLink to=\"/stats\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Stats\n            </NavLink>\n            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>\n            <NavLink to=\"/contact\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Contact\n            </NavLink>\n          </nav>\n          <div className=\"header-acct\">\n            <AccountNav />\n          </div>\n          <button\n            className={`menu-btn ${open ? \"open\" : \"\"}`}\n            aria-expanded={open}\n            aria-label={open ? \"Fermer le menu\" : \"Ouvrir le menu\"}\n            onClick={() => setOpen(!open)}\n          >\n            <span /><span /><span />\n          </button>\n        </div>\n===WEBHEAD===\n# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend statique (frontend/)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query, Request\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, RedirectResponse, Response\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, favorites, ingest, seo\nfrom . import stats as kastats\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\n# Frontend : build Vite (React) si présent, sinon la page statique de secours.\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\nFRONTEND_DIR = FRONTEND_DIST if FRONTEND_DIST.exists() else ROOT / \"frontend\"\n\napp = FastAPI(title=\"Immo-Ka API\", version=\"0.1\",\n              description=\"Agrégateur de maisons à vendre — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n                   allow_methods=[\"*\"], allow_headers=[\"*\"])\n# le GeoJSON complet pèse ~20 Mo — la compression est vitale pour la carte\napp.add_middleware(GZipMiddleware, minimum_size=1024)\n# connexion Google (compte Groupe-Ka partagé avec Lou-Ka) — voir immoka/auth.py\napp.include_router(auth.router)\n# favoris ♥ — magasin central au hub Groupe KA, voir immoka/favorites.py\napp.include_router(favorites.router)\n# moteur hypothécaire — taux réels multibanques + calculateur canadien,\n# voir immoka/mortgage/ (docs/mortgage-engine.md)\nfrom .mortgage import api as mortgage_api  # noqa: E402\n177:.notice { text-align: center; padding: 72px 24px; color: var(--ink-2); }\n178:.notice .big { font-size: 44px; margin-bottom: 10px; }\n179:.notice h2 { text-transform: uppercase; }\n300:.sources .sub { color: var(--ink-2); margin-bottom: 30px; max-width: 720px; }\n301:.src-wrap { overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card); box-shadow: var(--shadow-off-soft); background: var(--surface); }\n315:.stats-page .sub { color: var(--ink-2); max-width: 660px; margin-bottom: 30px; }\n353:.notice .big .ico { color: var(--lime); }\n530:  .notice { padding: 48px 16px; }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":3350,"estimated_tokens_delta":50,"uuid":"23a3e054-1ff1-4a99-b06d-56b8c205ae96","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVHyoXezvnfLVkUrZCW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVHyoXezvnfLVkUrZCW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U5uLqwBwQqyi33MMCZzSZk","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Demenageurs.tsx","content":"// -----------------------------------------------------------------------------\n// Groupe KA — Annuaire des déménageurs du Québec (page partagée Lou-Ka/Immo-Ka)\n// pages/Demenageurs.tsx : liste complète des entreprises de déménagement de la\n// province (17 régions), filtrable par région et par texte — /api/demenageurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Mover = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Mover[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function DemenageursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/demenageurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Mover[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — services de déménagement</span>\n      <h1>Déménageurs du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des entreprises de déménagement de la\n        province : <b>{doc ? doc.total : \"…\"}</b> déménageurs répertoriés dans\n        les 17 régions administratives du Québec, avec téléphone, site web et\n        note Google. Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un déménageur ou une ville…\"\n              aria-label=\"Rechercher un déménageur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun déménageur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant d'embaucher un déménageur, vérifiez qu'il est inscrit au\n            Registraire des entreprises du Québec, qu'il détient les assurances\n            requises et demandez toujours une soumission écrite. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7015,"cache_read_input_tokens":87696,"cache_creation":{"ephemeral_5m_input_tokens":7015,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1c6af7da-f4fa-4fda-8410-583f7031dbef","request_id":"req_011CeNVHxJFHh3KQd1QeQwDD"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Demenageurs.tsx","content":"// -----------------------------------------------------------------------------\n// Groupe KA — Annuaire des déménageurs du Québec (page partagée Lou-Ka/Immo-Ka)\n// pages/Demenageurs.tsx : liste complète des entreprises de déménagement de la\n// province (17 régions), filtrable par région et par texte — /api/demenageurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Mover = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Mover[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function DemenageursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/demenageurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Mover[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — services de déménagement</span>\n      <h1>Déménageurs du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des entreprises de déménagement de la\n        province : <b>{doc ? doc.total : \"…\"}</b> déménageurs répertoriés dans\n        les 17 régions administratives du Québec, avec téléphone, site web et\n        note Google. Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un déménageur ou une ville…\"\n              aria-label=\"Rechercher un déménageur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun déménageur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant d'embaucher un déménageur, vérifiez qu'il est inscrit au\n            Registraire des entreprises du Québec, qu'il détient les assurances\n            requises et demandez toujours une soumission écrite. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U5uLqwBwQqyi33MMCZzSZk","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/Demenageurs.tsx (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1bd41feb-a3af-4d84-8bef-4e7751429cfb","timestamp":"2026-08-25T00:05:29.807Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Demenageurs.tsx","content":"// -----------------------------------------------------------------------------\n// Groupe KA — Annuaire des déménageurs du Québec (page partagée Lou-Ka/Immo-Ka)\n// pages/Demenageurs.tsx : liste complète des entreprises de déménagement de la\n// province (17 régions), filtrable par région et par texte — /api/demenageurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Mover = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Mover[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function DemenageursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/demenageurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Mover[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — services de déménagement</span>\n      <h1>Déménageurs du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des entreprises de déménagement de la\n        province : <b>{doc ? doc.total : \"…\"}</b> déménageurs répertoriés dans\n        les 17 régions administratives du Québec, avec téléphone, site web et\n        note Google. Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un déménageur ou une ville…\"\n              aria-label=\"Rechercher un déménageur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun déménageur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant d'embaucher un déménageur, vérifiez qu'il est inscrit au\n            Registraire des entreprises du Québec, qu'il détient les assurances\n            requises et demandez toujours une soumission écrite. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVHyoXezvnfLVkUrZCW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018JNfHAgu9N9tCt1ZcGfCAg","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"150,200p\" frontend/src/App.tsx'; echo \"@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"85,120p\" frontend/src/App.tsx'","description":"Read mobile menu blocks in both App.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7015,"cache_read_input_tokens":87696,"cache_creation":{"ephemeral_5m_input_tokens":7015,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"8cfe989e-419b-4958-840f-68d7dc696438","request_id":"req_011CeNVHxJFHh3KQd1QeQwDD"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"150,200p\" frontend/src/App.tsx'; echo \"@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"85,120p\" frontend/src/App.tsx'","description":"Read mobile menu blocks in both App.tsx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018JNfHAgu9N9tCt1ZcGfCAg","type":"tool_result","content":"            <div className=\"account-backdrop\" onClick={() => setMenuOpen(false)} aria-hidden=\"true\" />,\n            document.body,\n          )}\n          <div className=\"account-menu\" role=\"menu\">\n            <div className=\"account-id\">\n              <b>{me.name || \"Mon compte\"}</b>\n              <span>{me.email}</span>\n              {me.ka_id && <span className=\"account-kaid\">{me.ka_id}</span>}\n            </div>\n            <NavLink\n              to=\"/profil\"\n              role=\"menuitem\"\n              className=\"account-link\"\n              onClick={() => setMenuOpen(false)}\n            >\n              Mon profil\n            </NavLink>\n            {me.role === \"locataire\" && (\n              <NavLink\n                to=\"/favoris\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Mes favoris\n              </NavLink>\n            )}\n            {me.role === \"gestionnaire\" && (\n              <NavLink\n                to=\"/gestion\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Ma page gestion\n              </NavLink>\n            )}\n            {!me.role && (\n              <NavLink\n                to=\"/bienvenue\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Choisir mon profil\n              </NavLink>\n            )}\n            <button\n              role=\"menuitem\"\n              onClick={async () => { await logout(); refresh(); setMenuOpen(false); }}\n            >\n@@@@@@\n        Se connecter avec <b>KA</b>\n      </button>\n      <a\n        className=\"ka-signup\"\n        href=\"https://www.groupe-ka.com/connexion\"\n        target=\"_blank\"\n        rel=\"noopener noreferrer\"\n      >\n        Créer un compte\n      </a>\n    </div>\n  );\n}\n\n/** Même zone compte, version menu mobile. */\nfunction AccountMobile({ close }: { close: () => void }) {\n  const { user, enabled, loaded } = useAccount();\n  if (!loaded || !enabled) return null;\n  if (user) {\n    return (\n      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n        <span className=\"mm-ico\" aria-hidden=\"true\"><Ico name=\"people\" size={19} /></span>\n        Mon profil {user.name ? `— ${user.name.split(\" \")[0]}` : \"\"}\n        <span className=\"mm-arrow\" aria-hidden=\"true\"><Ico name=\"arrow\" size={15} /></span>\n      </NavLink>\n    );\n  }\n  return (\n    <div className=\"mm-auth\">\n      <button className=\"ka-login\" onClick={() => kaLogin()}>\n        Se connecter avec <b>KA</b>\n      </button>\n      <a\n        className=\"ka-signup\"\n        href=\"https://www.groupe-ka.com/connexion\"\n        target=\"_blank\"","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bf3fa513-53c9-4e7b-a339-1aef5e25fb31","timestamp":"2026-08-25T00:05:31.546Z","tool_use_result":{"stdout":"            <div className=\"account-backdrop\" onClick={() => setMenuOpen(false)} aria-hidden=\"true\" />,\n            document.body,\n          )}\n          <div className=\"account-menu\" role=\"menu\">\n            <div className=\"account-id\">\n              <b>{me.name || \"Mon compte\"}</b>\n              <span>{me.email}</span>\n              {me.ka_id && <span className=\"account-kaid\">{me.ka_id}</span>}\n            </div>\n            <NavLink\n              to=\"/profil\"\n              role=\"menuitem\"\n              className=\"account-link\"\n              onClick={() => setMenuOpen(false)}\n            >\n              Mon profil\n            </NavLink>\n            {me.role === \"locataire\" && (\n              <NavLink\n                to=\"/favoris\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Mes favoris\n              </NavLink>\n            )}\n            {me.role === \"gestionnaire\" && (\n              <NavLink\n                to=\"/gestion\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Ma page gestion\n              </NavLink>\n            )}\n            {!me.role && (\n              <NavLink\n                to=\"/bienvenue\"\n                role=\"menuitem\"\n                className=\"account-link\"\n                onClick={() => setMenuOpen(false)}\n              >\n                Choisir mon profil\n              </NavLink>\n            )}\n            <button\n              role=\"menuitem\"\n              onClick={async () => { await logout(); refresh(); setMenuOpen(false); }}\n            >\n@@@@@@\n        Se connecter avec <b>KA</b>\n      </button>\n      <a\n        className=\"ka-signup\"\n        href=\"https://www.groupe-ka.com/connexion\"\n        target=\"_blank\"\n        rel=\"noopener noreferrer\"\n      >\n        Créer un compte\n      </a>\n    </div>\n  );\n}\n\n/** Même zone compte, version menu mobile. */\nfunction AccountMobile({ close }: { close: () => void }) {\n  const { user, enabled, loaded } = useAccount();\n  if (!loaded || !enabled) return null;\n  if (user) {\n    return (\n      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n        <span className=\"mm-ico\" aria-hidden=\"true\"><Ico name=\"people\" size={19} /></span>\n        Mon profil {user.name ? `— ${user.name.split(\" \")[0]}` : \"\"}\n        <span className=\"mm-arrow\" aria-hidden=\"true\"><Ico name=\"arrow\" size={15} /></span>\n      </NavLink>\n    );\n  }\n  return (\n    <div className=\"mm-auth\">\n      <button className=\"ka-login\" onClick={() => kaLogin()}>\n        Se connecter avec <b>KA</b>\n      </button>\n      <a\n        className=\"ka-signup\"\n        href=\"https://www.groupe-ka.com/connexion\"\n        target=\"_blank\"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"b097ccba-2bca-4094-90ed-c43933f53118","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"edf2ec93-720f-44c6-9425-a34357ac75d1","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":171,"estimated_tokens_delta":21,"uuid":"d4df8ee6-4f21-4cb3-a93f-162ff5864687","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVNinHgbrJ63QXw64zC","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7555,"cache_read_input_tokens":94711,"cache_creation":{"ephemeral_5m_input_tokens":7555,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"da773c14-14a1-439e-88b0-cee54062a63d","request_id":"req_011CeNVNh27uVohJB3vm4Yu2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVNinHgbrJ63QXw64zC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HGYMQZhrVwukkAE2ymRDu2","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"70,100p\" frontend/src/App.tsx'; echo \"@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"mm-link\" frontend/src/App.tsx | head && sed -n \"176,215p\" frontend/src/App.tsx'","description":"Find mobile menu link lists in both apps"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7555,"cache_read_input_tokens":94711,"cache_creation":{"ephemeral_5m_input_tokens":7555,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"37b51b12-727b-414b-903f-763e930eb885","request_id":"req_011CeNVNh27uVohJB3vm4Yu2"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"70,100p\" frontend/src/App.tsx'; echo \"@@@@@@\"; ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"mm-link\" frontend/src/App.tsx | head && sed -n \"176,215p\" frontend/src/App.tsx'","description":"Find mobile menu link lists in both apps"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HGYMQZhrVwukkAE2ymRDu2","type":"tool_result","content":"      <div className=\"ticker-track\">\n        {[...items, ...items].map((t, i) => (\n          <span key={i}>{t}</span>\n        ))}\n      </div>\n    </div>\n  );\n}\n\nconst NAV_LINKS = [\n  { to: \"/\", label: \"Logements\", icon: <IcoHouse size={17} />, end: true },\n  { to: \"/?view=carte\", label: \"Carte\", icon: <IcoMap size={17} />, end: false, force: true },\n  { to: \"/court-terme\", label: \"Court terme\", icon: <IcoCompass size={17} />, end: false },\n  { to: \"/stats\", label: \"Stats\", icon: <IcoChart size={17} />, end: false },\n  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\n  { to: \"/contact\", label: \"Contact\", icon: <IcoUser size={17} />, end: false },\n  { to: \"/conditions\", label: \"Conditions\", icon: <IcoDoc size={17} />, end: false },\n  { to: \"/confidentialite\", label: \"Confidentialité\", icon: <IcoLock size={17} />, end: false },\n];\n\n/** Bouton « Connexion » ou avatar + menu compte (connexion Google) */\nfunction AccountMenu() {\n  const [enabled, setEnabled] = useState(false);\n  const { me, refresh } = useAccount();\n  const [menuOpen, setMenuOpen] = useState(false);\n\n  useEffect(() => {\n    fetchAuthConfig().then((c) => setEnabled(c.ka || c.google)).catch(() => {});\n  }, []);\n\n  // menu ouvert : fermeture à Escape (le tap extérieur passe par le backdrop)\n@@@@@@\n105:      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n184:              className={({ isActive }) => `mm-link ${isActive && !l.force ? \"active\" : \"\"}`}\n\n        <div className={`mobile-menu ${open ? \"open\" : \"\"}`} role=\"navigation\" aria-label=\"Menu mobile\">\n          {NAV_LINKS.map((l, i) => (\n            <NavLink\n              key={l.to}\n              to={l.to}\n              end={l.end}\n              style={{ transitionDelay: open ? `${60 + i * 45}ms` : \"0ms\" }}\n              className={({ isActive }) => `mm-link ${isActive && !l.force ? \"active\" : \"\"}`}\n              onClick={() => setOpen(false)}\n            >\n              <span className=\"mm-ico\" aria-hidden=\"true\"><Ico name={l.icon} size={19} /></span>\n              {l.label}\n              <span className=\"mm-arrow\" aria-hidden=\"true\"><Ico name=\"arrow\" size={15} /></span>\n            </NavLink>\n          ))}\n          <AccountMobile close={() => setOpen(false)} />\n          <div className=\"mm-foot\">\n            <GroupeKaBadge />\n            <p>\n              Agrégateur indépendant — mis à jour automatiquement, chaque fiche\n              renvoie à l'annonce originale de l'agence.\n            </p>\n          </div>\n        </div>\n      </header>\n      {open && <div className=\"mm-backdrop\" onClick={() => setOpen(false)} aria-hidden=\"true\" />}\n      <Ticker />\n    </>\n  );\n}\n\nconst LOCAL_LEGAL = [\n  { label: \"Documentation\", href: \"/doc/\" },\n  { label: \"Conditions (Immo-Ka)\", href: \"/conditions\" },\n  { label: \"Confidentialité (Immo-Ka)\", href: \"/confidentialite\" },\n  { label: \"Contact\", href: \"/contact\" },\n];\n\nexport default function App() {","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bee83f79-cc7f-4ff4-af05-b6e18c4ed5fe","timestamp":"2026-08-25T00:05:40.422Z","tool_use_result":{"stdout":"      <div className=\"ticker-track\">\n        {[...items, ...items].map((t, i) => (\n          <span key={i}>{t}</span>\n        ))}\n      </div>\n    </div>\n  );\n}\n\nconst NAV_LINKS = [\n  { to: \"/\", label: \"Logements\", icon: <IcoHouse size={17} />, end: true },\n  { to: \"/?view=carte\", label: \"Carte\", icon: <IcoMap size={17} />, end: false, force: true },\n  { to: \"/court-terme\", label: \"Court terme\", icon: <IcoCompass size={17} />, end: false },\n  { to: \"/stats\", label: \"Stats\", icon: <IcoChart size={17} />, end: false },\n  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\n  { to: \"/contact\", label: \"Contact\", icon: <IcoUser size={17} />, end: false },\n  { to: \"/conditions\", label: \"Conditions\", icon: <IcoDoc size={17} />, end: false },\n  { to: \"/confidentialite\", label: \"Confidentialité\", icon: <IcoLock size={17} />, end: false },\n];\n\n/** Bouton « Connexion » ou avatar + menu compte (connexion Google) */\nfunction AccountMenu() {\n  const [enabled, setEnabled] = useState(false);\n  const { me, refresh } = useAccount();\n  const [menuOpen, setMenuOpen] = useState(false);\n\n  useEffect(() => {\n    fetchAuthConfig().then((c) => setEnabled(c.ka || c.google)).catch(() => {});\n  }, []);\n\n  // menu ouvert : fermeture à Escape (le tap extérieur passe par le backdrop)\n@@@@@@\n105:      <NavLink to=\"/profil\" className=\"mm-link\" onClick={close}>\n184:              className={({ isActive }) => `mm-link ${isActive && !l.force ? \"active\" : \"\"}`}\n\n        <div className={`mobile-menu ${open ? \"open\" : \"\"}`} role=\"navigation\" aria-label=\"Menu mobile\">\n          {NAV_LINKS.map((l, i) => (\n            <NavLink\n              key={l.to}\n              to={l.to}\n              end={l.end}\n              style={{ transitionDelay: open ? `${60 + i * 45}ms` : \"0ms\" }}\n              className={({ isActive }) => `mm-link ${isActive && !l.force ? \"active\" : \"\"}`}\n              onClick={() => setOpen(false)}\n            >\n              <span className=\"mm-ico\" aria-hidden=\"true\"><Ico name={l.icon} size={19} /></span>\n              {l.label}\n              <span className=\"mm-arrow\" aria-hidden=\"true\"><Ico name=\"arrow\" size={15} /></span>\n            </NavLink>\n          ))}\n          <AccountMobile close={() => setOpen(false)} />\n          <div className=\"mm-foot\">\n            <GroupeKaBadge />\n            <p>\n              Agrégateur indépendant — mis à jour automatiquement, chaque fiche\n              renvoie à l'annonce originale de l'agence.\n            </p>\n          </div>\n        </div>\n      </header>\n      {open && <div className=\"mm-backdrop\" onClick={() => setOpen(false)} aria-hidden=\"true\" />}\n      <Ticker />\n    </>\n  );\n}\n\nconst LOCAL_LEGAL = [\n  { label: \"Documentation\", href: \"/doc/\" },\n  { label: \"Conditions (Immo-Ka)\", href: \"/conditions\" },\n  { label: \"Confidentialité (Immo-Ka)\", href: \"/confidentialite\" },\n  { label: \"Contact\", href: \"/contact\" },\n];\n\nexport default function App() {","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"50f71fcd-cae5-43be-abe1-ac1f827daa33","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"0b3701b6-f2be-4241-8635-87f95267c368","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"db848d3c-7ec0-4bde-944c-77845cc8650c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"7c4df944-f0a9-4c79-9ea4-7fdd3cc79ffe","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":150,"uuid":"76b7d8e5-af90-42f2-85d2-0513ed4971b8","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"2900026d-d58e-49e4-bd5f-a24684f97fa9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":200,"uuid":"a3b41cff-62e9-4414-9bd0-d9262edffc86","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":100,"uuid":"fc9a1b02-eaee-42a2-a245-aaec7c7b1ecc","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":150,"uuid":"3a8b8a71-e51b-4cc9-b2ab-a052613f268b","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1200,"estimated_tokens_delta":250,"uuid":"6b15b6c5-67c9-432e-a217-315e960dbb2e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":150,"uuid":"72d50ad8-d574-42c4-9ac4-0f51e6488db8","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"27a34757-6354-40c3-80ee-3927a7291e52","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1600,"estimated_tokens_delta":150,"uuid":"f1c6bcbc-b785-474d-b6c3-b680e9c7c146","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2350,"estimated_tokens_delta":150,"uuid":"b8042251-2584-4285-9ba7-47fc6f8b89dd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2500,"estimated_tokens_delta":150,"uuid":"537694f2-4a90-4de2-83bb-adee9d999947","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2600,"estimated_tokens_delta":100,"uuid":"81efbecd-e297-4748-aa0c-1ae466f101b3","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVRPtZs4xxVwpadvE7N","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2644,"cache_read_input_tokens":103906,"cache_creation":{"ephemeral_5m_input_tokens":2644,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"00eee03c-bd4f-4dd1-95f1-576149e3e5f1","request_id":"req_011CeNVRNNYEooAozUPZXdHa"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVRPtZs4xxVwpadvE7N","type":"message","role":"assistant","content":[{"type":"text","text":"Ancrages complets. J'écris les deux scripts de patch (remplacements exacts, garde-fous anti-double-application), puis je déploie sur Lou-Ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2644,"cache_read_input_tokens":103906,"cache_creation":{"ephemeral_5m_input_tokens":2644,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a726abfb-54c5-462f-9ddb-b0606f1c1f79","request_id":"req_011CeNVRNNYEooAozUPZXdHa"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVRPtZs4xxVwpadvE7N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0196vbJZMXgdwnE3wpNaDcB4","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch lou-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"\nNEW = ANCHOR + \"\"\"\n\n# annuaire des déménageurs du Québec — page partagée avec Immo-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\"\nsub(\"louka/web.py\", ANCHOR, NEW)\n\n# --- seo.py : sitemap-pages + page SSR /demenageurs --------------------------\nsub(\"louka/seo.py\",\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),',\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\\n'\n    '        (f\"{BASE_URL}/demenageurs\", None),')\n\nSSR = '''@router.get(\"/demenageurs\", include_in_schema=False)\ndef demenageurs_ssr():\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | Lou-Ka\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _e(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_e(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_e(m['name'])}</b> — {_e(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _e(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _e(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _render(title=title, description=description, path=\"/demenageurs\",\n                   jsonld=jsonld, body=\"\".join(parts))\n\n\n@router.get(\"/villes\", include_in_schema=False)'''\nsub(\"louka/seo.py\", '@router.get(\"/villes\", include_in_schema=False)', SSR)\n\n# --- App.tsx : import + route + nav + menu mobile + prefooter ----------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />',\n    '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>''',\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n          </nav>''')\n\nsub(APP,\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },',\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: <IcoCompass size={17} />, end: false },')\n\nsub(APP, '<NavLink to=\"/sources\">Sources</NavLink>',\n    '<NavLink to=\"/sources\">Sources</NavLink>\\n'\n    '          <NavLink to=\"/demenageurs\">Déménageurs</NavLink>')\n\nprint(\"patch lou-ka terminé\")\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2644,"cache_read_input_tokens":103906,"cache_creation":{"ephemeral_5m_input_tokens":2644,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c9cda2af-7b13-442f-a533-7ba57066734f","request_id":"req_011CeNVRNNYEooAozUPZXdHa"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch lou-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"\nNEW = ANCHOR + \"\"\"\n\n# annuaire des déménageurs du Québec — page partagée avec Immo-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\"\nsub(\"louka/web.py\", ANCHOR, NEW)\n\n# --- seo.py : sitemap-pages + page SSR /demenageurs --------------------------\nsub(\"louka/seo.py\",\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),',\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\\n'\n    '        (f\"{BASE_URL}/demenageurs\", None),')\n\nSSR = '''@router.get(\"/demenageurs\", include_in_schema=False)\ndef demenageurs_ssr():\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | Lou-Ka\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _e(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_e(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_e(m['name'])}</b> — {_e(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _e(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _e(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _render(title=title, description=description, path=\"/demenageurs\",\n                   jsonld=jsonld, body=\"\".join(parts))\n\n\n@router.get(\"/villes\", include_in_schema=False)'''\nsub(\"louka/seo.py\", '@router.get(\"/villes\", include_in_schema=False)', SSR)\n\n# --- App.tsx : import + route + nav + menu mobile + prefooter ----------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />',\n    '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>''',\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n          </nav>''')\n\nsub(APP,\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },',\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: <IcoCompass size={17} />, end: false },')\n\nsub(APP, '<NavLink to=\"/sources\">Sources</NavLink>',\n    '<NavLink to=\"/sources\">Sources</NavLink>\\n'\n    '          <NavLink to=\"/demenageurs\">Déménageurs</NavLink>')\n\nprint(\"patch lou-ka terminé\")\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0196vbJZMXgdwnE3wpNaDcB4","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d0a09aa2-fcdd-41e0-b905-d4f14d399948","timestamp":"2026-08-25T00:06:59.987Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch lou-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"\nNEW = ANCHOR + \"\"\"\n\n# annuaire des déménageurs du Québec — page partagée avec Immo-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\"\nsub(\"louka/web.py\", ANCHOR, NEW)\n\n# --- seo.py : sitemap-pages + page SSR /demenageurs --------------------------\nsub(\"louka/seo.py\",\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),',\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\\n'\n    '        (f\"{BASE_URL}/demenageurs\", None),')\n\nSSR = '''@router.get(\"/demenageurs\", include_in_schema=False)\ndef demenageurs_ssr():\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | Lou-Ka\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _e(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_e(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_e(m['name'])}</b> — {_e(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _e(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _e(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _render(title=title, description=description, path=\"/demenageurs\",\n                   jsonld=jsonld, body=\"\".join(parts))\n\n\n@router.get(\"/villes\", include_in_schema=False)'''\nsub(\"louka/seo.py\", '@router.get(\"/villes\", include_in_schema=False)', SSR)\n\n# --- App.tsx : import + route + nav + menu mobile + prefooter ----------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />',\n    '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>''',\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n          </nav>''')\n\nsub(APP,\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },',\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: <IcoCompass size={17} />, end: false },')\n\nsub(APP, '<NavLink to=\"/sources\">Sources</NavLink>',\n    '<NavLink to=\"/sources\">Sources</NavLink>\\n'\n    '          <NavLink to=\"/demenageurs\">Déménageurs</NavLink>')\n\nprint(\"patch lou-ka terminé\")\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":140,"estimated_tokens_delta":90,"uuid":"3dceff44-cff8-41f8-9747-4f805481eb6c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVVFAKH19W1RsYWyLpS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":265,"cache_creation_input_tokens":5055,"cache_read_input_tokens":106550,"cache_creation":{"ephemeral_5m_input_tokens":5055,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c96ca121-8374-46a2-9bae-6869135808a3","request_id":"req_011CeNVVDFxjTaxamrTReTxW"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVVFAKH19W1RsYWyLpS","type":"message","role":"assistant","content":[{"type":"text","text":"Je nettoie un bloc résiduel dans le patch, puis j'écris celui d'immo-ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":265,"cache_creation_input_tokens":5055,"cache_read_input_tokens":106550,"cache_creation":{"ephemeral_5m_input_tokens":5055,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6aa64aac-f350-4149-886c-88320e9eee0c","request_id":"req_011CeNVVDFxjTaxamrTReTxW"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVVFAKH19W1RsYWyLpS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R1AKfRBTU45Se5L3stPahq","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","old_string":"# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"","new_string":"# --- web.py : monter le router de l'annuaire ---------------------------------\nANCHOR = \"app.include_router(ct_web.router)\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":265,"cache_creation_input_tokens":5055,"cache_read_input_tokens":106550,"cache_creation":{"ephemeral_5m_input_tokens":5055,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"96abbf13-fb01-4cb0-b53c-190fd8325690","request_id":"req_011CeNVVDFxjTaxamrTReTxW"}}
{"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","old_string":"# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"","new_string":"# --- web.py : monter le router de l'annuaire ---------------------------------\nANCHOR = \"app.include_router(ct_web.router)\"","replace_all":false}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R1AKfRBTU45Se5L3stPahq","type":"tool_result","content":"The file /Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6a2949d2-0645-4fc0-9576-185b46ca1f9f","timestamp":"2026-08-25T00:07:11.272Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_louka.py","oldString":"# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"","newString":"# --- web.py : monter le router de l'annuaire ---------------------------------\nANCHOR = \"app.include_router(ct_web.router)\"","originalFile":"#!/usr/bin/env python3\n\"\"\"Patch lou-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"louka/web.py\",\n    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"\n    if False else \"from .shortterm import web as ct_web\",\n    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous\n\nOLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"\n# retrouver la ligne include_router qui suit\nweb = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")\nANCHOR = \"app.include_router(ct_web.router)\"\nNEW = ANCHOR + \"\"\"\n\n# annuaire des déménageurs du Québec — page partagée avec Immo-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\"\nsub(\"louka/web.py\", ANCHOR, NEW)\n\n# --- seo.py : sitemap-pages + page SSR /demenageurs --------------------------\nsub(\"louka/seo.py\",\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),',\n    '(f\"{BASE_URL}/stats\", None), (f\"{BASE_URL}/sources\", None),\\n'\n    '        (f\"{BASE_URL}/demenageurs\", None),')\n\nSSR = '''@router.get(\"/demenageurs\", include_in_schema=False)\ndef demenageurs_ssr():\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | Lou-Ka\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _e(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_e(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_e(m['name'])}</b> — {_e(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _e(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _e(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _render(title=title, description=description, path=\"/demenageurs\",\n                   jsonld=jsonld, body=\"\".join(parts))\n\n\n@router.get(\"/villes\", include_in_schema=False)'''\nsub(\"louka/seo.py\", '@router.get(\"/villes\", include_in_schema=False)', SSR)\n\n# --- App.tsx : import + route + nav + menu mobile + prefooter ----------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />',\n    '<Route path=\"/court-terme/:uid\" element={<CourtTermeFichePage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n          </nav>''',\n    '''            <NavLink to=\"/sources\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Sources\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n          </nav>''')\n\nsub(APP,\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },',\n    '  { to: \"/sources\", label: \"Sources\", icon: <IcoFolder size={17} />, end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: <IcoCompass size={17} />, end: false },')\n\nsub(APP, '<NavLink to=\"/sources\">Sources</NavLink>',\n    '<NavLink to=\"/sources\">Sources</NavLink>\\n'\n    '          <NavLink to=\"/demenageurs\">Déménageurs</NavLink>')\n\nprint(\"patch lou-ka terminé\")\n","structuredPatch":[{"oldStart":15,"oldLines":14,"newStart":15,"newLines":6,"lines":[" "," "," # --- web.py : monter le router de l'annuaire ---------------------------------","-sub(\"louka/web.py\",","-    \"from .shortterm import web as ct_web  # noqa: E402  (import tardif : évite le cycle web<->accounts)\"","-    if False else \"from .shortterm import web as ct_web\",","-    \"from .shortterm import web as ct_web\")  # no-op sentinel, remplacé ci-dessous","-","-OLD_WEB = \"\"\"from .shortterm import web as ct_web\"\"\"","-# retrouver la ligne include_router qui suit","-web = Path(\"louka/web.py\").read_text(encoding=\"utf-8\")"," ANCHOR = \"app.include_router(ct_web.router)\""," NEW = ANCHOR + \"\"\""," "]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVVFAKH19W1RsYWyLpS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RoXnsEpGGMnYtZ7aM7d8rD","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"app.include_router(favorites.router)\",\n    \"\"\"app.include_router(favorites.router)\n# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path in _STATIC_META:\n        return render_static(path)\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path in _STATIC_META:\n        return render_static(path)\"\"\")\n\nRENDER = '''def render_demenageurs() -> HTMLResponse:\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | {SITE_NAME}\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _page(title, description, BASE_URL + \"/demenageurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />',\n    '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>''',\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },',\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka terminé\")\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":265,"cache_creation_input_tokens":5055,"cache_read_input_tokens":106550,"cache_creation":{"ephemeral_5m_input_tokens":5055,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0f8b4d47-ba93-4fa4-9f56-de53bd17a3bf","request_id":"req_011CeNVVDFxjTaxamrTReTxW"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"app.include_router(favorites.router)\",\n    \"\"\"app.include_router(favorites.router)\n# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path in _STATIC_META:\n        return render_static(path)\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path in _STATIC_META:\n        return render_static(path)\"\"\")\n\nRENDER = '''def render_demenageurs() -> HTMLResponse:\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | {SITE_NAME}\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _page(title, description, BASE_URL + \"/demenageurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />',\n    '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>''',\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },',\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka terminé\")\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RoXnsEpGGMnYtZ7aM7d8rD","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a715a37a-be2c-4791-8dca-c3e8f8ee9490","timestamp":"2026-08-25T00:07:27.673Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des déménageurs (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"app.include_router(favorites.router)\",\n    \"\"\"app.include_router(favorites.router)\n# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path in _STATIC_META:\n        return render_static(path)\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path in _STATIC_META:\n        return render_static(path)\"\"\")\n\nRENDER = '''def render_demenageurs() -> HTMLResponse:\n    from . import demenageurs as dem\n    doc = dem.load()\n    movers = doc.get(\"movers\", [])\n    n = len(movers)\n    title = f\"Déménageurs au Québec — annuaire complet ({n} entreprises) | {SITE_NAME}\"\n    description = (f\"Annuaire complet des déménageurs du Québec : {n} entreprises de \"\n                   \"déménagement dans les 17 régions administratives, avec téléphone, \"\n                   \"site web et note Google. Trouvez un déménageur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in movers:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _mover_ld(m: dict) -> dict:\n        d = {\"@type\": \"MovingCompany\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Déménageurs du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Déménageurs\", \"/demenageurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Déménageurs du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _mover_ld(m)}\n                   for i, m in enumerate(movers[:100])]}]\n    return _page(title, description, BASE_URL + \"/demenageurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import DemenageursPage from \"./pages/Demenageurs\";\\nimport Home from \"./pages/Home\";')\n\nsub(APP, '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />',\n    '<Route path=\"/taux-hypothecaires\" element={<TauxPage />} />\\n'\n    '          <Route path=\"/demenageurs\" element={<DemenageursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>''',\n    '''            <NavLink to=\"/agences\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Agences\n            </NavLink>\n            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },',\n    '  { to: \"/agences\", label: \"Agences\", icon: \"building\", end: false },\\n'\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka terminé\")\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"aac11786-24f8-4403-8993-315f2efe4d92","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"afe68c51-c1db-4f22-bd38-bb66ee73c4bd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"49825983-71b0-4aff-a560-4ad33616cc29","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVXHrbZ5Ke9hpWotLvz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3111,"cache_read_input_tokens":111605,"cache_creation":{"ephemeral_5m_input_tokens":3111,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"38d4ad8b-aae2-413b-bbb7-c183371b92df","request_id":"req_011CeNVXFpofmWiUjWjhG6n5"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVXHrbZ5Ke9hpWotLvz","type":"message","role":"assistant","content":[{"type":"text","text":"Déploiement Lou-Ka : copie des fichiers, patch, vérification syntaxe."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3111,"cache_read_input_tokens":111605,"cache_creation":{"ephemeral_5m_input_tokens":3111,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"15da929d-ce9b-440a-96c1-4a6160c7f636","request_id":"req_011CeNVXFpofmWiUjWjhG6n5"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVXHrbZ5Ke9hpWotLvz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019tYviiTMDwZYF2w4pnY9xy","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M3U96b 'cd ~/apps/lou-ka && git status --porcelain | head && ls scripts >/dev/null 2>&1 || mkdir -p scripts' && scp -q demenageurs.json M3U96b:~/apps/lou-ka/data/demenageurs.json && scp -q demenageurs_module.py M3U96b:~/apps/lou-ka/louka/demenageurs.py && scp -q build_demenageurs.py M3U96b:~/apps/lou-ka/scripts/build_demenageurs.py && scp -q Demenageurs.tsx M3U96b:~/apps/lou-ka/frontend/src/pages/Demenageurs.tsx && scp -q patch_louka.py M3U96b:/tmp/patch_louka.py && ssh M3U96b 'cd ~/apps/lou-ka && python3 /tmp/patch_louka.py && python3 -c \"import ast; [ast.parse(open(f).read()) for f in (\\\"louka/seo.py\\\",\\\"louka/web.py\\\",\\\"louka/demenageurs.py\\\")]; print(\\\"syntaxe OK\\\")\"'","description":"Copy files to lou-ka and apply patches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3111,"cache_read_input_tokens":111605,"cache_creation":{"ephemeral_5m_input_tokens":3111,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7017432d-dd45-4256-9369-2eb673193138","request_id":"req_011CeNVXFpofmWiUjWjhG6n5"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M3U96b 'cd ~/apps/lou-ka && git status --porcelain | head && ls scripts >/dev/null 2>&1 || mkdir -p scripts' && scp -q demenageurs.json M3U96b:~/apps/lou-ka/data/demenageurs.json && scp -q demenageurs_module.py M3U96b:~/apps/lou-ka/louka/demenageurs.py && scp -q build_demenageurs.py M3U96b:~/apps/lou-ka/scripts/build_demenageurs.py && scp -q Demenageurs.tsx M3U96b:~/apps/lou-ka/frontend/src/pages/Demenageurs.tsx && scp -q patch_louka.py M3U96b:/tmp/patch_louka.py && ssh M3U96b 'cd ~/apps/lou-ka && python3 /tmp/patch_louka.py && python3 -c \"import ast; [ast.parse(open(f).read()) for f in (\\\"louka/seo.py\\\",\\\"louka/web.py\\\",\\\"louka/demenageurs.py\\\")]; print(\\\"syntaxe OK\\\")\"'","description":"Copy files to lou-ka and apply patches"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019tYviiTMDwZYF2w4pnY9xy","type":"tool_result","content":"ok : louka/web.py\nok : louka/seo.py\nok : louka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch lou-ka terminé\nsyntaxe OK","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d8506a21-c127-491f-933f-41ebc2421d7f","timestamp":"2026-08-25T00:07:43.132Z","tool_use_result":{"stdout":"ok : louka/web.py\nok : louka/seo.py\nok : louka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch lou-ka terminé\nsyntaxe OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8f97f6da-2201-48dd-9e0a-010273460830","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVYU71xYcx7PfMcbovb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017FghnTq52Cmaq8XJHTUmB7","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka/frontend && npm run build 2>&1 | tail -8'","description":"Build lou-ka frontend","timeout":300000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":913,"cache_read_input_tokens":114716,"cache_creation":{"ephemeral_5m_input_tokens":913,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0f8adbcb-27f2-469c-9147-5abd8090a43e","request_id":"req_011CeNVYPjqXVh4F1NwN62QY"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka/frontend && npm run build 2>&1 | tail -8'","timeout":300000,"description":"Build lou-ka frontend"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b7o7n3mjp","tool_use_id":"toolu_017FghnTq52Cmaq8XJHTUmB7","description":"Build lou-ka frontend","task_type":"local_bash","uuid":"6fde50be-d8f3-477b-8975-86493dd7fe6c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b7o7n3mjp","tool_use_id":"toolu_017FghnTq52Cmaq8XJHTUmB7","status":"completed","output_file":"","summary":"Build lou-ka frontend","uuid":"51668576-0e4c-4afa-afb9-ecece0b5594e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017FghnTq52Cmaq8XJHTUmB7","type":"tool_result","content":"dist/assets/index-DGCc5l1Q.js              397.13 kB │ gzip: 117.73 kB\ndist/assets/config-Bama_RSb.js           1,899.14 kB │ gzip: 529.98 kB\n\n(!) Some chunks are larger than 500 kB after minification. Consider:\n- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.86s","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"fd1151c9-a954-401f-9dd8-4746bcfd44fd","timestamp":"2026-08-25T00:07:53.655Z","tool_use_result":{"stdout":"dist/assets/index-DGCc5l1Q.js              397.13 kB │ gzip: 117.73 kB\ndist/assets/config-Bama_RSb.js           1,899.14 kB │ gzip: 529.98 kB\n\n(!) Some chunks are larger than 500 kB after minification. Consider:\n- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.86s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8f11c364-c6dc-424e-ae6d-715dda2645b2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVZDoKSoMgYdPmXnsS2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SqWzfPqtDdtVwAoFmm6NYu","name":"Bash","input":{"command":"ssh M3U96b 'pm2 restart lou-ka-web --update-env >/dev/null 2>&1 && sleep 3 && curl -s localhost:8080/api/demenageurs | python3 -c \"import json,sys; d=json.load(sys.stdin); print(\\\"API:\\\", d[\\\"total\\\"], \\\"déménageurs,\\\", len(d[\\\"regions\\\"]), \\\"régions\\\")\" && curl -s localhost:8080/demenageurs | grep -o \"<title>[^<]*</title>\" && curl -s -o /dev/null -w \"home %{http_code} \" localhost:8080/ && curl -s localhost:8080/sitemap-pages.xml | grep -c demenageurs'","description":"Restart lou-ka and run healthchecks"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":364,"cache_read_input_tokens":115629,"cache_creation":{"ephemeral_5m_input_tokens":364,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"45041cf3-71b7-4239-a685-346bea2f1d33","request_id":"req_011CeNVZAaM4a6JumTD8DWxi"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'pm2 restart lou-ka-web --update-env >/dev/null 2>&1 && sleep 3 && curl -s localhost:8080/api/demenageurs | python3 -c \"import json,sys; d=json.load(sys.stdin); print(\\\"API:\\\", d[\\\"total\\\"], \\\"déménageurs,\\\", len(d[\\\"regions\\\"]), \\\"régions\\\")\" && curl -s localhost:8080/demenageurs | grep -o \"<title>[^<]*</title>\" && curl -s -o /dev/null -w \"home %{http_code} \" localhost:8080/ && curl -s localhost:8080/sitemap-pages.xml | grep -c demenageurs'","description":"Restart lou-ka and run healthchecks"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bhrwyxut9","tool_use_id":"toolu_01SqWzfPqtDdtVwAoFmm6NYu","description":"Restart lou-ka and run healthchecks","task_type":"local_bash","uuid":"829a921c-77e4-4750-9331-360877efb3e9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bhrwyxut9","tool_use_id":"toolu_01SqWzfPqtDdtVwAoFmm6NYu","status":"failed","output_file":"","summary":"Restart lou-ka and run healthchecks","uuid":"d87df0c2-4d9d-4ab6-b04c-be56758f84b8","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n    import json,sys; d=json.load(sys.stdin); print(\"API:\", d[\"total\"], \"déménageurs,\", len(d[\"regions\"]), \"régions\")\n                                                           ~^^^^^^^^^\nKeyError: 'total'","is_error":true,"tool_use_id":"toolu_01SqWzfPqtDdtVwAoFmm6NYu"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"13d9d517-f8d6-46fd-8de6-39ceee6db0e2","timestamp":"2026-08-25T00:08:03.574Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n    import json,sys; d=json.load(sys.stdin); print(\"API:\", d[\"total\"], \"déménageurs,\", len(d[\"regions\"]), \"régions\")\n                                                           ~^^^^^^^^^\nKeyError: 'total'"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"db159c74-37aa-492f-8d4f-99a6b42561cc","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVZvgxEZ4vpYiBxxZ4z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016TUfRdE9a49JXTCathnYKP","name":"Bash","input":{"command":"ssh M3U96b 'curl -s localhost:8080/api/demenageurs | head -c 300; echo; pm2 logs lou-ka-web --nostream --lines 15 2>/dev/null | tail -15'","description":"Inspect API response and logs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":439,"cache_read_input_tokens":115993,"cache_creation":{"ephemeral_5m_input_tokens":439,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"04ae39a8-543f-482d-9147-5e37202bbb9f","request_id":"req_011CeNVZuCf56wuvPzM7VfkL"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'curl -s localhost:8080/api/demenageurs | head -c 300; echo; pm2 logs lou-ka-web --nostream --lines 15 2>/dev/null | tail -15'","description":"Inspect API response and logs"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016TUfRdE9a49JXTCathnYKP","type":"tool_result","content":"{\"message\":\"Route GET:/api/demenageurs not found\",\"error\":\"Not Found\",\"statusCode\":404}\n25|lou-ka- | INFO:     51.89.69.105:0 - \"GET /logement/kangalou%3A226850 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     185.191.171.9:0 - \"GET /logement/remax_quebec%3A19572689 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.72.1:0 - \"GET /logement/duproprio%3A1130124 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     44.205.74.196:0 - \"GET /logement/apartments_com%3A22kqbpb HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.69.41:0 - \"GET /logement/logisquebec%3A350366 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     185.191.171.2:0 - \"GET /logement/louer_ca%3A1209833-0 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.69.45:0 - \"GET /logement/logisquebec%3A334212 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.72.5:0 - \"GET /logement/kangalou%3A89661 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     85.208.96.193:0 - \"GET /logement/lespac%3A222866413 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.71.147:0 - \"GET /logement/kangalou%3A234453 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.71.90:0 - \"GET /logement/kangalou%3A224579 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     18.213.240.226:0 - \"GET /logement/kangalou%3A241868 HTTP/1.1\" 200 OK","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"89fe47ed-725f-4f72-8aba-85dcea055658","timestamp":"2026-08-25T00:08:08.255Z","tool_use_result":{"stdout":"{\"message\":\"Route GET:/api/demenageurs not found\",\"error\":\"Not Found\",\"statusCode\":404}\n25|lou-ka- | INFO:     51.89.69.105:0 - \"GET /logement/kangalou%3A226850 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     185.191.171.9:0 - \"GET /logement/remax_quebec%3A19572689 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.72.1:0 - \"GET /logement/duproprio%3A1130124 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     44.205.74.196:0 - \"GET /logement/apartments_com%3A22kqbpb HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.69.41:0 - \"GET /logement/logisquebec%3A350366 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     185.191.171.2:0 - \"GET /logement/louer_ca%3A1209833-0 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.69.45:0 - \"GET /logement/logisquebec%3A334212 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.72.5:0 - \"GET /logement/kangalou%3A89661 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     85.208.96.193:0 - \"GET /logement/lespac%3A222866413 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.71.147:0 - \"GET /logement/kangalou%3A234453 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     51.89.71.90:0 - \"GET /logement/kangalou%3A224579 HTTP/1.1\" 200 OK\n25|lou-ka- | INFO:     18.213.240.226:0 - \"GET /logement/kangalou%3A241868 HTTP/1.1\" 200 OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f52fd2a0-c6fd-4dd7-b809-8c8a316dfc43","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"cd3eb439-c1d1-4edf-a4a9-070d0f3c2851","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"a9af9b10-da12-4a41-afc6-d540fb51cda8","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":191,"estimated_tokens_delta":41,"uuid":"7e3646fc-3c7e-4984-8bcb-940ef90a94b3","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVaGZ3YG17EPwzDhEnV","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":976,"cache_read_input_tokens":116432,"cache_creation":{"ephemeral_5m_input_tokens":976,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e6505de2-d2a7-4dba-8100-20899459d435","request_id":"req_011CeNVaF3m4vE6yPDiV4fq6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVaGZ3YG17EPwzDhEnV","type":"message","role":"assistant","content":[{"type":"text","text":"Le 404 vient d'une autre app (format Fastify) — le port 8080 n'est pas lou-ka. Je vérifie le port réel."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":976,"cache_read_input_tokens":116432,"cache_creation":{"ephemeral_5m_input_tokens":976,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b3336bf4-4b2b-4dbc-a342-8f187f59e747","request_id":"req_011CeNVaF3m4vE6yPDiV4fq6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVaGZ3YG17EPwzDhEnV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UJN6FUfrM4sup3KzHmhQhu","name":"Bash","input":{"command":"ssh M3U96b 'pm2 describe lou-ka-web 2>/dev/null | grep -i \"script\\|args\\|cwd\\|interpreter\" ; pm2 jlist 2>/dev/null | python3 -c \"\nimport json,sys\nfor p in json.load(sys.stdin):\n    if p[\\\"name\\\"]==\\\"lou-ka-web\\\":\n        e=p[\\\"pm2_env\\\"]\n        print(\\\"args:\\\", e.get(\\\"args\\\"), \\\"cwd:\\\", e.get(\\\"pm_cwd\\\"), \\\"script:\\\", e.get(\\\"pm_exec_path\\\"))\n\"'","description":"Find lou-ka-web actual port/args"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":976,"cache_read_input_tokens":116432,"cache_creation":{"ephemeral_5m_input_tokens":976,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f4df37d1-68ef-441b-b1e7-b1ea5ff99214","request_id":"req_011CeNVaF3m4vE6yPDiV4fq6"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'pm2 describe lou-ka-web 2>/dev/null | grep -i \"script\\|args\\|cwd\\|interpreter\" ; pm2 jlist 2>/dev/null | python3 -c \"\nimport json,sys\nfor p in json.load(sys.stdin):\n    if p[\\\"name\\\"]==\\\"lou-ka-web\\\":\n        e=p[\\\"pm2_env\\\"]\n        print(\\\"args:\\\", e.get(\\\"args\\\"), \\\"cwd:\\\", e.get(\\\"pm_cwd\\\"), \\\"script:\\\", e.get(\\\"pm_exec_path\\\"))\n\"'","description":"Find lou-ka-web actual port/args"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UJN6FUfrM4sup3KzHmhQhu","type":"tool_result","content":"│ script path       │ /Users/simon-pierreboucher/apps/lou-ka/.venv/bin/python   │\n│ script args       │ run.py serve 8095                                         │\n│ interpreter       │ none                                                      │\n│ interpreter args  │ N/A                                                       │\n│ script id         │ 25                                                        │\n│ exec cwd          │ /Users/simon-pierreboucher/apps/lou-ka                    │\nargs: ['run.py', 'serve', '8095'] cwd: /Users/simon-pierreboucher/apps/lou-ka script: /Users/simon-pierreboucher/apps/lou-ka/.venv/bin/python","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d41f4463-6fea-4305-9691-0b8aafd0010a","timestamp":"2026-08-25T00:08:20.224Z","tool_use_result":{"stdout":"│ script path       │ /Users/simon-pierreboucher/apps/lou-ka/.venv/bin/python   │\n│ script args       │ run.py serve 8095                                         │\n│ interpreter       │ none                                                      │\n│ interpreter args  │ N/A                                                       │\n│ script id         │ 25                                                        │\n│ exec cwd          │ /Users/simon-pierreboucher/apps/lou-ka                    │\nargs: ['run.py', 'serve', '8095'] cwd: /Users/simon-pierreboucher/apps/lou-ka script: /Users/simon-pierreboucher/apps/lou-ka/.venv/bin/python","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c5a9db13-0ee4-4b57-8ec9-8e7ef73db9f2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVb9syxsMJVVgxTgmja","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AYDMsEEvdypX2is2aiQKbm","name":"Bash","input":{"command":"ssh M3U96b 'curl -s localhost:8095/api/demenageurs | python3 -c \"import json,sys; d=json.load(sys.stdin); print(\\\"API:\\\", d[\\\"total\\\"], \\\"déménageurs,\\\", len(d[\\\"regions\\\"]), \\\"régions\\\")\" && curl -s localhost:8095/demenageurs | grep -o \"<title>[^<]*</title>\" && curl -s -o /dev/null -w \"home:%{http_code} \" localhost:8095/ && curl -s localhost:8095/sitemap-pages.xml | grep -c demenageurs && curl -s -o /dev/null -w \"public:%{http_code}\\n\" https://www.lou-ka.com/demenageurs'","description":"Healthcheck lou-ka on port 8095 + public URL"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":265,"cache_creation_input_tokens":746,"cache_read_input_tokens":117408,"cache_creation":{"ephemeral_5m_input_tokens":746,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"960ceab4-27c2-4334-9cf2-032219d154b7","request_id":"req_011CeNVb8JEMmQbgMsXU5E1T"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'curl -s localhost:8095/api/demenageurs | python3 -c \"import json,sys; d=json.load(sys.stdin); print(\\\"API:\\\", d[\\\"total\\\"], \\\"déménageurs,\\\", len(d[\\\"regions\\\"]), \\\"régions\\\")\" && curl -s localhost:8095/demenageurs | grep -o \"<title>[^<]*</title>\" && curl -s -o /dev/null -w \"home:%{http_code} \" localhost:8095/ && curl -s localhost:8095/sitemap-pages.xml | grep -c demenageurs && curl -s -o /dev/null -w \"public:%{http_code}\\n\" https://www.lou-ka.com/demenageurs'","description":"Healthcheck lou-ka on port 8095 + public URL"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AYDMsEEvdypX2is2aiQKbm","type":"tool_result","content":"API: 565 déménageurs, 17 régions\n<title>Déménageurs au Québec — annuaire complet (565 entreprises) | Lou-Ka</title>\nhome:200 1\npublic:200","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"3719b2aa-1085-44ed-84cd-ccca28d740f3","timestamp":"2026-08-25T00:08:27.039Z","tool_use_result":{"stdout":"API: 565 déménageurs, 17 régions\n<title>Déménageurs au Québec — annuaire complet (565 entreprises) | Lou-Ka</title>\nhome:200 1\npublic:200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0f4ac6e4-13c2-4f9e-8fe7-d194886ceb08","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"03468302-e246-456b-bf2b-a276427a4df0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":98,"estimated_tokens_delta":48,"uuid":"8331cd8f-9005-4531-a7b5-2b9193b9cd3c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVbfkLQxv9TJUePykUh","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":663,"cache_read_input_tokens":118154,"cache_creation":{"ephemeral_5m_input_tokens":663,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6d661df2-248b-4899-a3cd-4c9c2f2f3dbb","request_id":"req_011CeNVbdXtSJZG11Ub6hNUZ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVbfkLQxv9TJUePykUh","type":"message","role":"assistant","content":[{"type":"text","text":"Lou-Ka est en ligne : API 565 déménageurs, SSR opérationnel, https://www.lou-ka.com/demenageurs répond 200. Je committe et pousse."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":663,"cache_read_input_tokens":118154,"cache_creation":{"ephemeral_5m_input_tokens":663,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d3e58760-5ae8-4259-8aa9-eee68fd2fd10","request_id":"req_011CeNVbdXtSJZG11Ub6hNUZ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVbfkLQxv9TJUePykUh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011PCoJ3jL7bGyJJUQQEKqGH","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && git add data/demenageurs.json louka/demenageurs.py scripts/build_demenageurs.py frontend/src/pages/Demenageurs.tsx frontend/src/App.tsx louka/web.py louka/seo.py && git commit -m \"Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n\n- data/demenageurs.json : dataset canonique (balayage Google Places via Serper,\n  188 villes, dédoublonnage CID/téléphone) — partagé avec Immo-Ka\n- louka/demenageurs.py : API /api/demenageurs (filtres région + texte)\n- frontend : page Demenageurs.tsx (recherche, filtre par région, tel:/site web),\n  liens nav + menu mobile + prefooter\n- seo.py : SSR /demenageurs (liste complète par région, JSON-LD MovingCompany\n  ItemList) + entrée sitemap-pages\n- scripts/build_demenageurs.py : régénération du dataset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -2 && git log -1 --format=\"%h %s\"'","description":"Commit and push lou-ka changes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":663,"cache_read_input_tokens":118154,"cache_creation":{"ephemeral_5m_input_tokens":663,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"65243ca1-a852-4cd7-9892-49b37e5e3e39","request_id":"req_011CeNVbdXtSJZG11Ub6hNUZ"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && git add data/demenageurs.json louka/demenageurs.py scripts/build_demenageurs.py frontend/src/pages/Demenageurs.tsx frontend/src/App.tsx louka/web.py louka/seo.py && git commit -m \"Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n\n- data/demenageurs.json : dataset canonique (balayage Google Places via Serper,\n  188 villes, dédoublonnage CID/téléphone) — partagé avec Immo-Ka\n- louka/demenageurs.py : API /api/demenageurs (filtres région + texte)\n- frontend : page Demenageurs.tsx (recherche, filtre par région, tel:/site web),\n  liens nav + menu mobile + prefooter\n- seo.py : SSR /demenageurs (liste complète par région, JSON-LD MovingCompany\n  ItemList) + entrée sitemap-pages\n- scripts/build_demenageurs.py : régénération du dataset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -2 && git log -1 --format=\"%h %s\"'","description":"Commit and push lou-ka changes"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011PCoJ3jL7bGyJJUQQEKqGH","type":"tool_result","content":"[main 7e29e36] Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n 7 files changed, 9093 insertions(+)\n create mode 100644 data/demenageurs.json\n create mode 100644 frontend/src/pages/Demenageurs.tsx\n create mode 100644 louka/demenageurs.py\n create mode 100644 scripts/build_demenageurs.py\nTo gitsrv:srv/git/lou-ka.git\n   29b06e9..7e29e36  main -> main\n7e29e36 Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"aba3213e-b1f2-4219-9b71-f11d368dfc2f","timestamp":"2026-08-25T00:08:37.306Z","tool_use_result":{"stdout":"[main 7e29e36] Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n 7 files changed, 9093 insertions(+)\n create mode 100644 data/demenageurs.json\n create mode 100644 frontend/src/pages/Demenageurs.tsx\n create mode 100644 louka/demenageurs.py\n create mode 100644 scripts/build_demenageurs.py\nTo gitsrv:srv/git/lou-ka.git\n   29b06e9..7e29e36  main -> main\n7e29e36 Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"7e29e36","kind":"committed"},"push":{"branch":"main"}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bc34719c-a2f0-4df3-9f8d-8b9dd918cf9e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVcQhz2ub3QbCZYZWq3","type":"message","role":"assistant","content":[{"type":"text","text":"Lou-Ka commité (`7e29e36`) et poussé. Maintenant Immo-Ka sur M4M64a — même procédure."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":869,"cache_read_input_tokens":118817,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"61eb2750-6247-4d2a-9c60-38ea3090babc","request_id":"req_011CeNVcPDCQyeZmFoXkMVeW"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVcQhz2ub3QbCZYZWq3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhSsEN4R7fx3css7oEeuai","name":"TaskUpdate","input":{"taskId":"2","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":869,"cache_read_input_tokens":118817,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2fad0300-3978-4e9e-988e-6ef0f886f730","request_id":"req_011CeNVcPDCQyeZmFoXkMVeW"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVcQhz2ub3QbCZYZWq3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0166RmPTbd8FRWLKCiBpdoDH","name":"TaskUpdate","input":{"taskId":"3","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":869,"cache_read_input_tokens":118817,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"2335c051-348c-48dc-85e6-dcf5386066b1","request_id":"req_011CeNVcPDCQyeZmFoXkMVeW"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0166RmPTbd8FRWLKCiBpdoDH","type":"tool_result","content":"Updated task #3 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a77be6ab-03a2-4dd4-b8b2-0f1d26dfc7db","timestamp":"2026-08-25T00:08:42.032Z","tool_use_result":{"success":true,"taskId":"3","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhSsEN4R7fx3css7oEeuai","type":"tool_result","content":"Updated task #2 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"dd43ccd1-6e18-4d0e-8ae8-205a7ba7558d","timestamp":"2026-08-25T00:08:42.033Z","tool_use_result":{"success":true,"taskId":"2","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PMJBjjUr94xF5unWvuqKK9","type":"tool_result","content":"ok : immoka/web.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch immo-ka terminé\nsyntaxe OK","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"04fc5f9b-c352-473b-961c-fcadc110dc00","timestamp":"2026-08-25T00:08:46.008Z","tool_use_result":{"stdout":"ok : immoka/web.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch immo-ka terminé\nsyntaxe OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GeMQvP6bi3Xy4vyU7phDpF","type":"tool_result","content":"- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.31s\nargs: ['run.py', 'serve', '8096']","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bcfb0dbd-cfef-4888-a055-ab84e9533f5e","timestamp":"2026-08-25T00:08:55.629Z","tool_use_result":{"stdout":"- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.31s\nargs: ['run.py', 'serve', '8096']","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VH6n98LzeAkCCfyQUTdUC6","type":"tool_result","content":"API: 565 déménageurs, 17 régions\n<title>Déménageurs au Québec — annuaire complet (565 entreprises) | Immo-Ka</title>\nhome:200 1\npublic:200","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f2e2a5f0-12d4-491b-a0f6-dd6cb1a1bb01","timestamp":"2026-08-25T00:09:06.078Z","tool_use_result":{"stdout":"API: 565 déménageurs, 17 régions\n<title>Déménageurs au Québec — annuaire complet (565 entreprises) | Immo-Ka</title>\nhome:200 1\npublic:200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && git add data/demenageurs.json immoka/demenageurs.py scripts/build_demenageurs.py frontend/src/pages/Demenageurs.tsx frontend/src/App.tsx immoka/web.py immoka/seo.py && git commit -m \"Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n\n- data/demenageurs.json : dataset canonique (balayage Google Places via Serper,\n  188 villes, dédoublonnage CID/téléphone) — partagé avec Lou-Ka\n- immoka/demenageurs.py : API /api/demenageurs (filtres région + texte)\n- frontend : page Demenageurs.tsx (recherche, filtre par région, tel:/site web),\n  liens nav + menu mobile\n- seo.py : SSR /demenageurs (liste complète par région, JSON-LD MovingCompany\n  ItemList) + entrée sitemaps/pages.xml\n- scripts/build_demenageurs.py : régénération du dataset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -2 && git log -1 --format=\"%h %s\"'","description":"Commit and push immo-ka changes"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XddLNKxspeAwNFsDvdoeVi","type":"tool_result","content":"[main 03aa088] Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n 7 files changed, 9092 insertions(+), 1 deletion(-)\n create mode 100644 data/demenageurs.json\n create mode 100644 frontend/src/pages/Demenageurs.tsx\n create mode 100644 immoka/demenageurs.py\n create mode 100644 scripts/build_demenageurs.py\nTo gitsrv:srv/git/immo-ka.git\n   f59b6bc..03aa088  main -> main\n03aa088 Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6b0aad34-23ab-47c7-b226-63561779dc92","timestamp":"2026-08-25T00:09:14.615Z","tool_use_result":{"stdout":"[main 03aa088] Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n 7 files changed, 9092 insertions(+), 1 deletion(-)\n create mode 100644 data/demenageurs.json\n create mode 100644 frontend/src/pages/Demenageurs.tsx\n create mode 100644 immoka/demenageurs.py\n create mode 100644 scripts/build_demenageurs.py\nTo gitsrv:srv/git/immo-ka.git\n   f59b6bc..03aa088  main -> main\n03aa088 Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"03aa088","kind":"committed"},"push":{"branch":"main"}}}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfAoeoaoGKijGNsNRJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISwAQKpwEIERgCKkBkEjwOxw/bzAdgRx6QeaK2ocZt7hhZQAipujAu/1OFdmD3jXfLFuinrmurtVisvb1lxKAkl0GXv8MSQ5wbItBrMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGwurPUBrABAhIMwIi2RcliE49JJocZGgwLil9Xt2YkHsTHHI4iMG0ETguU7KKIpor+g5K0Mg58LQvPrAQ7AuGNpWoSeHfYLAYw1IBcT974qQJMkgTDiSrFAgFvmmlbdNZAzjg8ZJXDCT5tFqnT5B9yUMsi1ZN38gD2Agg7gJSS2iz38e3zibjcCGdxITKfG4ArhjwbyKRsp1wiSwpk2rLSANm7hADyOfKNzUp43zZ++a7cwVkuRlML1/t62EYnEYkt7VdJJ6WhdAQKaGrvU5Znka60h013E4KlOjEPYXfFc59oDJ830l+xmaPWV9617mmN6bA4MUg1Upo94jGU7YE6ulutaodvVVP/xQqSFo59EAxk145gNdUWRWx3AgZo6fhJA3+lCKd1TtgNR5w8nLQDRW4+U+jv2xNF/Ox0Zot3KnwNUdSUVDeOLlB8BPm64RcLqI8WIqOeLiessvv07I0ugURtwWd5g9GsCWhedZk88AB6VTeuQSAhNqnK0bPhRmtWyOQcbV+Bd8b6vM2JyeNG23F9ohfhxCyXzk4zFtgYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":763,"cache_read_input_tokens":121400,"cache_creation":{"ephemeral_5m_input_tokens":763,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"849e3dea-5912-4e39-bda6-a4ac76e8009c","request_id":"req_011CeNVf8i9absbXyWV8aRE6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfAoeoaoGKijGNsNRJ","type":"message","role":"assistant","content":[{"type":"text","text":"Les deux apps sont déployées et poussées. Vérification finale du contenu public, puis bilan."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":763,"cache_read_input_tokens":121400,"cache_creation":{"ephemeral_5m_input_tokens":763,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b0300a62-d5bb-4bcb-ba61-85c47e47feaf","request_id":"req_011CeNVf8i9absbXyWV8aRE6"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GnUWVUdtE6AK7tfJyGCaae","type":"tool_result","content":"Updated task #3 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"295dfc6c-cc16-46c7-9bd6-8450e7552352","timestamp":"2026-08-25T00:09:20.456Z","tool_use_result":{"success":true,"taskId":"3","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfAoeoaoGKijGNsNRJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EeqFXfH6r3TTrugnrjqt9h","name":"Bash","input":{"command":"curl -s https://www.lou-ka.com/demenageurs | grep -o \"MovingCompany\" | head -1; curl -s https://www.lou-ka.com/demenageurs | grep -c \"<li>\"; curl -s https://www.immo-ka.com/demenageurs | grep -c \"<li>\"; curl -s \"https://www.immo-ka.com/api/demenageurs?region=Estrie&q=magog\" | python3 -c \"import json,sys; d=json.load(sys.stdin); print('filtre Estrie+magog:', d['count'], '→', d['movers'][0]['name'] if d['movers'] else '-')\"","description":"Spot-check public SSR content and API filters"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":763,"cache_read_input_tokens":121400,"cache_creation":{"ephemeral_5m_input_tokens":763,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"dc7bdcee-8599-4f30-8527-11d6a587e545","request_id":"req_011CeNVf8i9absbXyWV8aRE6"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeqFXfH6r3TTrugnrjqt9h","type":"tool_result","content":"MovingCompany\n1\n1\nfiltre Estrie+magog: 4 → Déménagement David et Goliath","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d137a3e1-52fc-4891-b9ad-78ec77a4af14","timestamp":"2026-08-25T00:09:24.188Z","tool_use_result":{"stdout":"MovingCompany\n1\n1\nfiltre Estrie+magog: 4 → Déménagement David et Goliath","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"40df63cd-1de8-4b93-9b4b-115f5ccaf3dc","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":114,"estimated_tokens_delta":64,"uuid":"497abc87-222c-41fc-8eef-0c9d540652f9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfth4gQeS8yt6rez2i","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":606,"cache_read_input_tokens":122163,"cache_creation":{"ephemeral_5m_input_tokens":606,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"9390fe1b-81ac-48e5-8ee2-2e4060d6f36c","request_id":"req_011CeNVfraKd8FtdPZq3knq6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfth4gQeS8yt6rez2i","type":"message","role":"assistant","content":[{"type":"text","text":"Le compte `<li>` à 1 est un artefact (tout le HTML SSR est sur une ligne). Je recompte par occurrences."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":606,"cache_read_input_tokens":122163,"cache_creation":{"ephemeral_5m_input_tokens":606,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a86d7376-4792-412d-9df4-75afdca649f3","request_id":"req_011CeNVfraKd8FtdPZq3knq6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVfth4gQeS8yt6rez2i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BTg56eUyaKkEyuP7oaiTDC","name":"Bash","input":{"command":"echo \"lou-ka li: $(curl -s https://www.lou-ka.com/demenageurs | grep -o '<li><b>' | wc -l)\"; echo \"immo-ka li: $(curl -s https://www.immo-ka.com/demenageurs | grep -o '<li><b>' | wc -l)\"","description":"Count SSR list items on both public pages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":606,"cache_read_input_tokens":122163,"cache_creation":{"ephemeral_5m_input_tokens":606,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"500b10f1-bfa8-46b4-8e05-2472a4b845bb","request_id":"req_011CeNVfraKd8FtdPZq3knq6"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"echo \"lou-ka li: $(curl -s https://www.lou-ka.com/demenageurs | grep -o '<li><b>' | wc -l)\"; echo \"immo-ka li: $(curl -s https://www.immo-ka.com/demenageurs | grep -o '<li><b>' | wc -l)\"","description":"Count SSR list items on both public pages"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BTg56eUyaKkEyuP7oaiTDC","type":"tool_result","content":"lou-ka li:      565\nimmo-ka li:      565","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"61336140-07f3-47e1-b7a6-0f42880d96d3","timestamp":"2026-08-25T00:09:32.080Z","tool_use_result":{"stdout":"lou-ka li:      565\nimmo-ka li:      565","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVgSvYhnepLz2Ecg6Ft","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS4wIKpwEIERgCKkCPTkgQWmqDqFRi7Gh+tcPQ4D189/jta/ZuF4yXLZSpRe2BtKaJiJoTc9b37l6TKnYOxTo953VBK7vOhZUazOd7Mg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHJurPUBrABAhIMlSmbVJlQVXKPhltYGgxtm5hQFdiUkAZVNCUiMPQlBW38ELJakea0cWkcysPkNMa8B7eE6MHtv2vO2BS5hUyBtvXxXN7kYgGvxCn5HCppVALxLw7kH6CspwDNfx8ayoQq6Cpy7jg2y12HInkc8cbn0g3COV04lMbNLBKrSeTAr8dzPCznj6Nwt7FeLuxOpRX8jlw6V39cbo/nKtkJWCvJC/xin/bYHBXVK7jv944dQQn3iTW4JvcrGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":325,"cache_read_input_tokens":122769,"cache_creation":{"ephemeral_5m_input_tokens":325,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bc11913d-570a-407f-ba30-c47a15b84a59","request_id":"req_011CeNVgRVE4JPCa61FT5WoS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVgSvYhnepLz2Ecg6Ft","type":"message","role":"assistant","content":[{"type":"text","text":"Tout est vérifié. Je sauvegarde une note mémoire sur l'annuaire, puis le bilan."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":325,"cache_read_input_tokens":122769,"cache_creation":{"ephemeral_5m_input_tokens":325,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"071f8c69-733f-4f89-9752-8916373c896b","request_id":"req_011CeNVgRVE4JPCa61FT5WoS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVgSvYhnepLz2Ecg6Ft","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MHPzF6doQejjhgip34WU2D","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/ka-annuaire-demenageurs.md","content":"---\nname: ka-annuaire-demenageurs\ndescription: Annuaire des déménageurs du Québec — page /demenageurs identique sur Lou-Ka et Immo-Ka, dataset canonique + script de régénération\nmetadata:\n  type: project\n---\n\nCréé le 2026-08-24 : page **/demenageurs** (annuaire complet des déménageurs du Québec) sur **Lou-Ka** (M3U96b, commit `7e29e36`) et **Immo-Ka** (M4M64a, commit `03aa088`).\n\n- **Dataset canonique** : `data/demenageurs.json` (565 entreprises, 17 régions, 182 villes) — **identique dans les deux repos, garder synchronisé**. Construit par balayage Google Places via Serper (188 villes, requêtes « déménageur/entreprise de déménagement <ville> QC », dédoublonnage CID → téléphone → nom+ville).\n- **Régénération** : `scripts/build_demenageurs.py` (présent dans les deux repos + copie maître `~/ka-orchestrator/demenageurs/`) — nécessite `SERPER_API_KEY`, ~490 requêtes, ~90 s. Après régénération : remplacer le JSON dans LES DEUX repos, pm2 restart, commit.\n- **Backend** : module `<pkg>/demenageurs.py` (même fichier dans louka/ et immoka/) → `/api/demenageurs` (filtres `region`, `q`), cache par mtime.\n- **SSR SEO** : lou-ka `seo.py` route `@router.get(\"/demenageurs\")` ; immo-ka branche dans `render_for_path` + `render_demenageurs()`. Les 565 entrées sont rendues côté serveur + JSON-LD ItemList/MovingCompany (100 premières). Sitemaps : `sitemap-pages.xml` (lou-ka) / `sitemaps/pages.xml` (immo-ka).\n- **Frontend** : `pages/Demenageurs.tsx` identique (fetch natif, classes communes kicker/src-wrap/src-table), liens nav desktop + NAV_LINKS mobile (+ prefooter lou-ka).\n- Piège rencontré : sur M3U96b, le port 8080 n'est PAS lou-ka (une app Node y répond) — lou-ka-web = port **8095**, immo-ka-web = **8096**.\n\nVoir aussi [[ka-seo-pages-programmatiques-2026-08-23]].\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":325,"cache_read_input_tokens":122769,"cache_creation":{"ephemeral_5m_input_tokens":325,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"228d2b29-5470-4187-9a88-c3a195cdcd36","request_id":"req_011CeNVgRVE4JPCa61FT5WoS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MHPzF6doQejjhgip34WU2D","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/ka-annuaire-demenageurs.md (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d87e5a62-86e0-49a4-a5e7-d8a1feb5bf8f","timestamp":"2026-08-25T00:09:57.013Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/ka-annuaire-demenageurs.md","content":"---\nname: ka-annuaire-demenageurs\ndescription: \"Annuaire des déménageurs du Québec — page /demenageurs identique sur Lou-Ka et Immo-Ka, dataset canonique + script de régénération\"\nmetadata: \n  node_type: memory\n  type: project\n  originSessionId: 49bdd1d3-5283-4475-898f-834f4ab20055\n---\n\nCréé le 2026-08-24 : page **/demenageurs** (annuaire complet des déménageurs du Québec) sur **Lou-Ka** (M3U96b, commit `7e29e36`) et **Immo-Ka** (M4M64a, commit `03aa088`).\n\n- **Dataset canonique** : `data/demenageurs.json` (565 entreprises, 17 régions, 182 villes) — **identique dans les deux repos, garder synchronisé**. Construit par balayage Google Places via Serper (188 villes, requêtes « déménageur/entreprise de déménagement <ville> QC », dédoublonnage CID → téléphone → nom+ville).\n- **Régénération** : `scripts/build_demenageurs.py` (présent dans les deux repos + copie maître `~/ka-orchestrator/demenageurs/`) — nécessite `SERPER_API_KEY`, ~490 requêtes, ~90 s. Après régénération : remplacer le JSON dans LES DEUX repos, pm2 restart, commit.\n- **Backend** : module `<pkg>/demenageurs.py` (même fichier dans louka/ et immoka/) → `/api/demenageurs` (filtres `region`, `q`), cache par mtime.\n- **SSR SEO** : lou-ka `seo.py` route `@router.get(\"/demenageurs\")` ; immo-ka branche dans `render_for_path` + `render_demenageurs()`. Les 565 entrées sont rendues côté serveur + JSON-LD ItemList/MovingCompany (100 premières). Sitemaps : `sitemap-pages.xml` (lou-ka) / `sitemaps/pages.xml` (immo-ka).\n- **Frontend** : `pages/Demenageurs.tsx` identique (fetch natif, classes communes kicker/src-wrap/src-table), liens nav desktop + NAV_LINKS mobile (+ prefooter lou-ka).\n- Piège rencontré : sur M3U96b, le port 8080 n'est PAS lou-ka (une app Node y répond) — lou-ka-web = port **8095**, immo-ka-web = **8096**.\n\nVoir aussi [[ka-seo-pages-programmatiques-2026-08-23]].\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNViHdWEhQKceR7Nf3KE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X8ofgqbYFdK57BXLierZYV","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/MEMORY.md","old_string":"- [Boucle incidents abandonnés ka-guardian](ka-guardian-boucle-abandonnes.md) — 2026-08-24 : garde abandoned_retry_hours, acquittement connector_health api-ka, purge `retired` à faire","new_string":"- [Boucle incidents abandonnés ka-guardian](ka-guardian-boucle-abandonnes.md) — 2026-08-24 : garde abandoned_retry_hours, acquittement connector_health api-ka, purge `retired` à faire\n- [Annuaire déménageurs QC](ka-annuaire-demenageurs.md) — 2026-08-24 : /demenageurs sur lou-ka+immo-ka, dataset canonique 565 entreprises, build_demenageurs.py (Serper), ports 8095/8096"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1145,"cache_read_input_tokens":123094,"cache_creation":{"ephemeral_5m_input_tokens":1145,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f861d22c-e981-4aaf-bbcb-29ba89e100b0","request_id":"req_011CeNViG3WHNDqXJnF8C6pb"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVuXpbBy6FcXR9owSec","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2524,"cache_read_input_tokens":127228,"cache_creation":{"ephemeral_5m_input_tokens":2524,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"aac763fa-37ff-45d1-8e95-a9ae818338b4","request_id":"req_011CeNVuWFqUAoaq7zd7d58B"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVuXpbBy6FcXR9owSec","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AkehRwUEDbAiatdXL1237D","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && python3 - <<'EOF'\nfrom pathlib import Path\nsrc = Path(\"build_demenageurs.py\").read_text(encoding=\"utf-8\")\n\nsrc = src.replace(\n    \"# Groupe KA — Annuaire des déménageurs du Québec\\n\"\n    \"# build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\\n\"\n    \"# administratives, filtre « déménagement », dédoublonnage CID/téléphone,\\n\"\n    \"# sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\",\n    \"# Groupe KA — Annuaire des inspecteurs en bâtiment du Québec\\n\"\n    \"# build_inspecteurs.py : balayage Serper Places sur ~200 villes des 17 régions\\n\"\n    \"# administratives, filtre « inspection de bâtiment », dédoublonnage\\n\"\n    \"# CID/téléphone, sortie canonique data/inspecteurs.json (consommée par Immo-Ka).\")\nsrc = src.replace('OUT = Path(__file__).parent / \"demenageurs.json\"',\n                  'OUT = Path(__file__).parent / \"inspecteurs.json\"')\nsrc = src.replace(\n    'MOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)',\n    'MOVER_RE = re.compile(r\"inspect\", re.I)\\n'\n    'EXCLUDE_RE = re.compile(r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\", re.I)')\nsrc = src.replace(\n    'def is_mover(p: dict) -> bool:\\n'\n    '    return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\\n'\n    '                or MOVER_RE.search(norm(p.get(\"title\", \"\"))))',\n    'def is_mover(p: dict) -> bool:\\n'\n    '    blob = norm(p.get(\"category\", \"\")) + \" \" + norm(p.get(\"title\", \"\"))\\n'\n    '    return bool(MOVER_RE.search(blob)) and not EXCLUDE_RE.search(blob)')\nsrc = src.replace('queries = [f\"déménageur {city} QC\"]',\n                  'queries = [f\"inspecteur en bâtiment {city} QC\"]')\nsrc = src.replace('queries.append(f\"entreprise de déménagement {city} QC\")',\n                  'queries.append(f\"inspection préachat {city} QC\")')\nsrc = src.replace('print(f\"\\\\n✅ {len(movers)} déménageurs uniques',\n                  'print(f\"\\\\n✅ {len(movers)} inspecteurs uniques')\nassert \"inspecteurs.json\" in src and \"inspecteur en bâtiment {city}\" in src and \"EXCLUDE_RE\" in src\nPath(\"build_inspecteurs.py\").write_text(src, encoding=\"utf-8\")\nprint(\"build_inspecteurs.py écrit\")\nEOF\ndiff <(cat build_demenageurs.py) <(cat build_inspecteurs.py) | head -40","description":"Generate build_inspecteurs.py from the movers sweep script"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2524,"cache_read_input_tokens":127228,"cache_creation":{"ephemeral_5m_input_tokens":2524,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"412cfcdc-d853-4d02-810d-e843899db650","request_id":"req_011CeNVuWFqUAoaq7zd7d58B"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && python3 - <<'EOF'\nfrom pathlib import Path\nsrc = Path(\"build_demenageurs.py\").read_text(encoding=\"utf-8\")\n\nsrc = src.replace(\n    \"# Groupe KA — Annuaire des déménageurs du Québec\\n\"\n    \"# build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\\n\"\n    \"# administratives, filtre « déménagement », dédoublonnage CID/téléphone,\\n\"\n    \"# sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\",\n    \"# Groupe KA — Annuaire des inspecteurs en bâtiment du Québec\\n\"\n    \"# build_inspecteurs.py : balayage Serper Places sur ~200 villes des 17 régions\\n\"\n    \"# administratives, filtre « inspection de bâtiment », dédoublonnage\\n\"\n    \"# CID/téléphone, sortie canonique data/inspecteurs.json (consommée par Immo-Ka).\")\nsrc = src.replace('OUT = Path(__file__).parent / \"demenageurs.json\"',\n                  'OUT = Path(__file__).parent / \"inspecteurs.json\"')\nsrc = src.replace(\n    'MOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)',\n    'MOVER_RE = re.compile(r\"inspect\", re.I)\\n'\n    'EXCLUDE_RE = re.compile(r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\", re.I)')\nsrc = src.replace(\n    'def is_mover(p: dict) -> bool:\\n'\n    '    return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\\n'\n    '                or MOVER_RE.search(norm(p.get(\"title\", \"\"))))',\n    'def is_mover(p: dict) -> bool:\\n'\n    '    blob = norm(p.get(\"category\", \"\")) + \" \" + norm(p.get(\"title\", \"\"))\\n'\n    '    return bool(MOVER_RE.search(blob)) and not EXCLUDE_RE.search(blob)')\nsrc = src.replace('queries = [f\"déménageur {city} QC\"]',\n                  'queries = [f\"inspecteur en bâtiment {city} QC\"]')\nsrc = src.replace('queries.append(f\"entreprise de déménagement {city} QC\")',\n                  'queries.append(f\"inspection préachat {city} QC\")')\nsrc = src.replace('print(f\"\\\\n✅ {len(movers)} déménageurs uniques',\n                  'print(f\"\\\\n✅ {len(movers)} inspecteurs uniques')\nassert \"inspecteurs.json\" in src and \"inspecteur en bâtiment {city}\" in src and \"EXCLUDE_RE\" in src\nPath(\"build_inspecteurs.py\").write_text(src, encoding=\"utf-8\")\nprint(\"build_inspecteurs.py écrit\")\nEOF\ndiff <(cat build_demenageurs.py) <(cat build_inspecteurs.py) | head -40","description":"Generate build_inspecteurs.py from the movers sweep script"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AkehRwUEDbAiatdXL1237D","type":"tool_result","content":"build_inspecteurs.py écrit\n3,6c3,6\n< # Groupe KA — Annuaire des déménageurs du Québec\n< # build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\n< # administratives, filtre « déménagement », dédoublonnage CID/téléphone,\n< # sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\n---\n> # Groupe KA — Annuaire des inspecteurs en bâtiment du Québec\n> # build_inspecteurs.py : balayage Serper Places sur ~200 villes des 17 régions\n> # administratives, filtre « inspection de bâtiment », dédoublonnage\n> # CID/téléphone, sortie canonique data/inspecteurs.json (consommée par Immo-Ka).\n22c22\n< OUT = Path(__file__).parent / \"demenageurs.json\"\n---\n> OUT = Path(__file__).parent / \"inspecteurs.json\"\n102c102,103\n< MOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)\n---\n> MOVER_RE = re.compile(r\"inspect\", re.I)\n> EXCLUDE_RE = re.compile(r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\", re.I)\n139,140c140,141\n<     return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\n<                 or MOVER_RE.search(norm(p.get(\"title\", \"\"))))\n---\n>     blob = norm(p.get(\"category\", \"\")) + \" \" + norm(p.get(\"title\", \"\"))\n>     return bool(MOVER_RE.search(blob)) and not EXCLUDE_RE.search(blob)\n159c160\n<     queries = [f\"déménageur {city} QC\"]\n---\n>     queries = [f\"inspecteur en bâtiment {city} QC\"]\n162c163\n<         queries.append(f\"entreprise de déménagement {city} QC\")\n---\n>         queries.append(f\"inspection préachat {city} QC\")\n253c254\n<     print(f\"\\n✅ {len(movers)} déménageurs uniques ({_stats['raw']} fiches brutes, \"\n---\n>     print(f\"\\n✅ {len(movers)} inspecteurs uniques ({_stats['raw']} fiches brutes, \"","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f3585eb9-08e4-49ef-b7e4-44d004f85020","timestamp":"2026-08-25T00:13:01.572Z","tool_use_result":{"stdout":"build_inspecteurs.py écrit\n3,6c3,6\n< # Groupe KA — Annuaire des déménageurs du Québec\n< # build_demenageurs.py : balayage Serper Places sur ~200 villes des 17 régions\n< # administratives, filtre « déménagement », dédoublonnage CID/téléphone,\n< # sortie canonique data/demenageurs.json (consommée par Lou-Ka et Immo-Ka).\n---\n> # Groupe KA — Annuaire des inspecteurs en bâtiment du Québec\n> # build_inspecteurs.py : balayage Serper Places sur ~200 villes des 17 régions\n> # administratives, filtre « inspection de bâtiment », dédoublonnage\n> # CID/téléphone, sortie canonique data/inspecteurs.json (consommée par Immo-Ka).\n22c22\n< OUT = Path(__file__).parent / \"demenageurs.json\"\n---\n> OUT = Path(__file__).parent / \"inspecteurs.json\"\n102c102,103\n< MOVER_RE = re.compile(r\"demenag|moving|movers|transport et demenagement\", re.I)\n---\n> MOVER_RE = re.compile(r\"inspect\", re.I)\n> EXCLUDE_RE = re.compile(r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\", re.I)\n139,140c140,141\n<     return bool(MOVER_RE.search(norm(p.get(\"category\", \"\")))\n<                 or MOVER_RE.search(norm(p.get(\"title\", \"\"))))\n---\n>     blob = norm(p.get(\"category\", \"\")) + \" \" + norm(p.get(\"title\", \"\"))\n>     return bool(MOVER_RE.search(blob)) and not EXCLUDE_RE.search(blob)\n159c160\n<     queries = [f\"déménageur {city} QC\"]\n---\n>     queries = [f\"inspecteur en bâtiment {city} QC\"]\n162c163\n<         queries.append(f\"entreprise de déménagement {city} QC\")\n---\n>         queries.append(f\"inspection préachat {city} QC\")\n253c254\n<     print(f\"\\n✅ {len(movers)} déménageurs uniques ({_stats['raw']} fiches brutes, \"\n---\n>     print(f\"\\n✅ {len(movers)} inspecteurs uniques ({_stats['raw']} fiches brutes, \"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVwuPvvB8BjR6LBJxvJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MgRtqm8z7NsYFezCXq8HLo","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && source ~/.claude/.env && export SERPER_API_KEY && python3 build_inspecteurs.py 2>&1 | tail -25","description":"Run province-wide sweep for building inspectors","timeout":600000,"run_in_background":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2728,"cache_read_input_tokens":129752,"cache_creation":{"ephemeral_5m_input_tokens":2728,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0a98b978-9cfc-4261-9269-70c63c787806","request_id":"req_011CeNVwsDxa2sWSfm3WXF76"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && source ~/.claude/.env && export SERPER_API_KEY && python3 build_inspecteurs.py 2>&1 | tail -25","timeout":600000,"description":"Run province-wide sweep for building inspectors","run_in_background":true}}
{"type":"claude","event":{"type":"system","subtype":"background_tasks_changed","tasks":[{"task_id":"bhpj4t9n9","task_type":"local_bash","description":"Run province-wide sweep for building inspectors"}],"uuid":"2da45eec-5d4c-457c-a6ea-78ec39f7393b","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bhpj4t9n9","tool_use_id":"toolu_01MgRtqm8z7NsYFezCXq8HLo","description":"Run province-wide sweep for building inspectors","task_type":"local_bash","uuid":"a77c0298-825d-40ad-8828-4a85a102ffdc","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MgRtqm8z7NsYFezCXq8HLo","type":"tool_result","content":"Command running in background with ID: bhpj4t9n9. Output is being written to: /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/bhpj4t9n9.output. You will be notified when it completes. To check interim output, use Read on that file path.","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"788c3e02-9fca-48dc-8273-25fffe382589","timestamp":"2026-08-25T00:13:08.963Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"backgroundTaskId":"bhpj4t9n9"}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVxSCqb742Zgy8qV7ia","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":132480,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b345e9e5-1e0f-484f-8406-0767c41d6bca","request_id":"req_011CeNVxQcLqSQtD8tVaaDX7"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVxSCqb742Zgy8qV7ia","type":"message","role":"assistant","content":[{"type":"text","text":"Pendant le balayage, je prépare les artefacts Immo-Ka : module backend, page React, patch."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":132480,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"83d2eb07-a674-4ff4-847f-31bd218f1770","request_id":"req_011CeNVxQcLqSQtD8tVaaDX7"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVxSCqb742Zgy8qV7ia","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018G9gb5as7wMqnE1ncCa2Hi","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des inspecteurs en bâtiment du Québec (Immo-Ka)\n# inspecteurs.py : sert data/inspecteurs.json — entreprises d'inspection de\n# bâtiment couvrant les 17 régions administratives (Google Places via Serper).\n# Régénération du dataset : scripts/build_inspecteurs.py puis remplacer le JSON.\n# NB : le JSON garde la clé générique « movers » (pipeline partagé avec\n# l'annuaire des déménageurs) — ce sont les entrées de l'annuaire.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"inspecteurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des inspecteurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/inspecteurs\")\ndef api_inspecteurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire des inspecteurs en bâtiment du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":132480,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d9a05599-7bc3-4645-8059-3313b27829f8","request_id":"req_011CeNVxQcLqSQtD8tVaaDX7"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des inspecteurs en bâtiment du Québec (Immo-Ka)\n# inspecteurs.py : sert data/inspecteurs.json — entreprises d'inspection de\n# bâtiment couvrant les 17 régions administratives (Google Places via Serper).\n# Régénération du dataset : scripts/build_inspecteurs.py puis remplacer le JSON.\n# NB : le JSON garde la clé générique « movers » (pipeline partagé avec\n# l'annuaire des déménageurs) — ce sont les entrées de l'annuaire.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"inspecteurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des inspecteurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/inspecteurs\")\ndef api_inspecteurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire des inspecteurs en bâtiment du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018G9gb5as7wMqnE1ncCa2Hi","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs_module.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7649f47d-8e45-42f3-b89a-86fa72a319d6","timestamp":"2026-08-25T00:13:32.972Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs_module.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Groupe KA — Annuaire des inspecteurs en bâtiment du Québec (Immo-Ka)\n# inspecteurs.py : sert data/inspecteurs.json — entreprises d'inspection de\n# bâtiment couvrant les 17 régions administratives (Google Places via Serper).\n# Régénération du dataset : scripts/build_inspecteurs.py puis remplacer le JSON.\n# NB : le JSON garde la clé générique « movers » (pipeline partagé avec\n# l'annuaire des déménageurs) — ce sont les entrées de l'annuaire.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\" / \"inspecteurs.json\"\n\nrouter = APIRouter()\n_cache: dict = {\"mtime\": None, \"doc\": None}\n_lock = threading.Lock()\n\n\ndef load() -> dict:\n    \"\"\"Charge (avec cache par mtime) l'annuaire canonique des inspecteurs.\"\"\"\n    try:\n        mtime = DATA.stat().st_mtime\n    except FileNotFoundError:\n        return {\"generated\": None, \"count\": 0, \"movers\": [], \"regions\": []}\n    with _lock:\n        if _cache[\"doc\"] is None or mtime != _cache[\"mtime\"]:\n            doc = json.loads(DATA.read_text(encoding=\"utf-8\"))\n            regs: dict[str, int] = {}\n            for m in doc.get(\"movers\", []):\n                regs[m[\"region\"]] = regs.get(m[\"region\"], 0) + 1\n            doc[\"regions\"] = [{\"region\": r, \"n\": n}\n                              for r, n in sorted(regs.items(),\n                                                 key=lambda x: (-x[1], x[0]))]\n            _cache[\"doc\"], _cache[\"mtime\"] = doc, mtime\n        return _cache[\"doc\"]\n\n\n@router.get(\"/api/inspecteurs\")\ndef api_inspecteurs(region: str | None = None, q: str | None = None):\n    \"\"\"Annuaire des inspecteurs en bâtiment du Québec (filtres : région, texte).\"\"\"\n    doc = load()\n    movers = doc.get(\"movers\", [])\n    if region:\n        movers = [m for m in movers if m[\"region\"] == region]\n    if q:\n        needle = q.strip().lower()\n        movers = [m for m in movers\n                  if needle in (m[\"name\"] + \" \" + m[\"city\"]).lower()]\n    return {\"generated\": doc.get(\"generated\"),\n            \"total\": doc.get(\"count\", 0),\n            \"count\": len(movers),\n            \"regions\": doc.get(\"regions\", []),\n            \"movers\": movers}\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1821fe39-b50c-42ef-a71b-a6e4dd041ea1","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNVzCkkx1kDxfZLFWnHS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xc28Jh4t9cy7xDZUJHZARc","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Inspecteurs.tsx","content":"// -----------------------------------------------------------------------------\n// Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)\n// pages/Inspecteurs.tsx : annuaire complet des inspecteurs en bâtiment de la\n// province (17 régions), filtrable par région et par texte — /api/inspecteurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Inspecteur = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Inspecteur[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function InspecteursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/inspecteurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Inspecteur[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — inspection de bâtiment</span>\n      <h1>Inspecteurs en bâtiment du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des inspecteurs en bâtiment de la province :{\" \"}\n        <b>{doc ? doc.total : \"…\"}</b> entreprises d'inspection (préachat,\n        prévente, préréception) répertoriées dans les 17 régions\n        administratives du Québec, avec téléphone, site web et note Google.\n        Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un inspecteur ou une ville…\"\n              aria-label=\"Rechercher un inspecteur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun inspecteur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant de mandater un inspecteur en bâtiment, vérifiez son\n            adhésion à une association reconnue (AIBQ, InterNACHI Québec…),\n            sa formation, son assurance responsabilité professionnelle\n            (erreurs et omissions) et exigez une convention de service ainsi\n            qu'un rapport écrit conforme à une norme de pratique. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1921,"cache_read_input_tokens":132808,"cache_creation":{"ephemeral_5m_input_tokens":1921,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bc2564f1-09d2-4ad2-a444-0b3173c525f3","request_id":"req_011CeNVzBPQnJSV9SwJfX1nG"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Inspecteurs.tsx","content":"// -----------------------------------------------------------------------------\n// Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)\n// pages/Inspecteurs.tsx : annuaire complet des inspecteurs en bâtiment de la\n// province (17 régions), filtrable par région et par texte — /api/inspecteurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Inspecteur = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Inspecteur[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function InspecteursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/inspecteurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Inspecteur[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — inspection de bâtiment</span>\n      <h1>Inspecteurs en bâtiment du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des inspecteurs en bâtiment de la province :{\" \"}\n        <b>{doc ? doc.total : \"…\"}</b> entreprises d'inspection (préachat,\n        prévente, préréception) répertoriées dans les 17 régions\n        administratives du Québec, avec téléphone, site web et note Google.\n        Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un inspecteur ou une ville…\"\n              aria-label=\"Rechercher un inspecteur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun inspecteur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant de mandater un inspecteur en bâtiment, vérifiez son\n            adhésion à une association reconnue (AIBQ, InterNACHI Québec…),\n            sa formation, son assurance responsabilité professionnelle\n            (erreurs et omissions) et exigez une convention de service ainsi\n            qu'un rapport écrit conforme à une norme de pratique. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xc28Jh4t9cy7xDZUJHZARc","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/Inspecteurs.tsx (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1c83925b-0a9c-4a0d-8d01-ec5c6b657eaa","timestamp":"2026-08-25T00:14:02.807Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/Inspecteurs.tsx","content":"// -----------------------------------------------------------------------------\n// Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)\n// pages/Inspecteurs.tsx : annuaire complet des inspecteurs en bâtiment de la\n// province (17 régions), filtrable par région et par texte — /api/inspecteurs.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\n\ntype Inspecteur = {\n  id: string;\n  name: string;\n  city: string;\n  region: string;\n  address: string;\n  phone: string;\n  website: string;\n  rating: number | null;\n  reviews: number | null;\n  category: string;\n};\n\ntype Doc = {\n  generated: string | null;\n  total: number;\n  count: number;\n  regions: { region: string; n: number }[];\n  movers: Inspecteur[];\n};\n\nconst telHref = (p: string) => \"tel:+1\" + p.replace(/\\D/g, \"\").slice(-10);\n\nconst host = (u: string) => {\n  try {\n    return new URL(u).hostname.replace(/^www\\./, \"\");\n  } catch {\n    return u;\n  }\n};\n\nexport default function InspecteursPage() {\n  const [doc, setDoc] = useState<Doc | null>(null);\n  const [error, setError] = useState<string | null>(null);\n  const [q, setQ] = useState(\"\");\n  const [region, setRegion] = useState(\"\");\n\n  useEffect(() => {\n    fetch(\"/api/inspecteurs\")\n      .then((r) => {\n        if (!r.ok) throw new Error(\"HTTP \" + r.status);\n        return r.json();\n      })\n      .then(setDoc)\n      .catch((e) => setError(String(e)));\n  }, []);\n\n  const filtered = useMemo(() => {\n    if (!doc) return [];\n    const needle = q.trim().toLowerCase();\n    return doc.movers.filter(\n      (m) =>\n        (!region || m.region === region) &&\n        (!needle || (m.name + \" \" + m.city).toLowerCase().includes(needle)),\n    );\n  }, [doc, q, region]);\n\n  const groups = useMemo(() => {\n    const order = (doc?.regions ?? []).map((r) => r.region);\n    const by: Record<string, Inspecteur[]> = {};\n    for (const m of filtered) (by[m.region] ??= []).push(m);\n    return order\n      .filter((r) => by[r]?.length)\n      .map((r) => ({ region: r, movers: by[r] }));\n  }, [doc, filtered]);\n\n  const filtering = q.trim() !== \"\" || region !== \"\";\n\n  return (\n    <div className=\"container sources\">\n      <span className=\"kicker\">Annuaire — inspection de bâtiment</span>\n      <h1>Inspecteurs en bâtiment du Québec</h1>\n      <p className=\"sub\">\n        L'annuaire le plus complet des inspecteurs en bâtiment de la province :{\" \"}\n        <b>{doc ? doc.total : \"…\"}</b> entreprises d'inspection (préachat,\n        prévente, préréception) répertoriées dans les 17 régions\n        administratives du Québec, avec téléphone, site web et note Google.\n        Recensement continu par le Groupe KA\n        {doc?.generated ? ` — mis à jour le ${doc.generated}` : \"\"}.\n      </p>\n\n      {error && <div className=\"notice\">⚠️ {error}</div>}\n      {!doc && !error && <div className=\"notice\">Chargement…</div>}\n\n      {doc && (\n        <>\n          <div\n            style={{\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              gap: 10,\n              alignItems: \"center\",\n              margin: \"6px 0 10px\",\n            }}\n          >\n            <input\n              type=\"search\"\n              value={q}\n              onChange={(e) => setQ(e.target.value)}\n              placeholder=\"Rechercher un inspecteur ou une ville…\"\n              aria-label=\"Rechercher un inspecteur ou une ville\"\n              style={{\n                flex: \"1 1 240px\",\n                maxWidth: 380,\n                padding: \"10px 14px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n              }}\n            />\n            <select\n              value={region}\n              onChange={(e) => setRegion(e.target.value)}\n              aria-label=\"Filtrer par région administrative\"\n              style={{\n                padding: \"10px 12px\",\n                border: \"1.5px solid var(--line)\",\n                borderRadius: 10,\n                font: \"inherit\",\n                background: \"var(--surface)\",\n                color: \"inherit\",\n                maxWidth: \"100%\",\n              }}\n            >\n              <option value=\"\">Toutes les régions ({doc.total})</option>\n              {doc.regions.map((r) => (\n                <option key={r.region} value={r.region}>\n                  {r.region} ({r.n})\n                </option>\n              ))}\n            </select>\n            {filtering && (\n              <span style={{ color: \"var(--ink-2)\", fontSize: 14 }}>\n                {filtered.length} résultat{filtered.length > 1 ? \"s\" : \"\"}\n              </span>\n            )}\n          </div>\n\n          {filtered.length === 0 && (\n            <div className=\"notice\">\n              Aucun inspecteur ne correspond à cette recherche.\n            </div>\n          )}\n\n          {groups.map((g) => (\n            <section key={g.region}>\n              <h2 style={{ marginTop: 34 }}>\n                {g.region}{\" \"}\n                <span style={{ color: \"var(--ink-2)\", fontWeight: 600 }}>\n                  ({g.movers.length})\n                </span>\n              </h2>\n              <div className=\"src-wrap\" style={{ marginTop: 12 }}>\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      <th>Entreprise</th>\n                      <th>Ville</th>\n                      <th>Téléphone</th>\n                      <th>Site web</th>\n                      <th>Note Google</th>\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {g.movers.map((m) => (\n                      <tr key={m.id}>\n                        <td>\n                          <b>{m.name}</b>\n                          {m.category && (\n                            <div\n                              style={{ fontSize: 12, color: \"var(--ink-2)\" }}\n                            >\n                              {m.category}\n                            </div>\n                          )}\n                        </td>\n                        <td>{m.city}</td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.phone ? (\n                            <a href={telHref(m.phone)}>{m.phone}</a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td>\n                          {m.website ? (\n                            <a\n                              href={m.website}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer nofollow\"\n                            >\n                              {host(m.website)}\n                            </a>\n                          ) : (\n                            \"—\"\n                          )}\n                        </td>\n                        <td style={{ whiteSpace: \"nowrap\" }}>\n                          {m.rating\n                            ? `★ ${m.rating.toFixed(1)} (${m.reviews ?? 0})`\n                            : \"—\"}\n                        </td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            </section>\n          ))}\n\n          <p\n            className=\"sub\"\n            style={{ marginTop: 34, fontSize: 13, maxWidth: 720 }}\n          >\n            Annuaire informatif compilé à partir des fiches publiques Google.\n            Avant de mandater un inspecteur en bâtiment, vérifiez son\n            adhésion à une association reconnue (AIBQ, InterNACHI Québec…),\n            sa formation, son assurance responsabilité professionnelle\n            (erreurs et omissions) et exigez une convention de service ainsi\n            qu'un rapport écrit conforme à une norme de pratique. Le Groupe KA\n            n'a aucun lien d'affaires avec les entreprises listées.\n          </p>\n        </>\n      )}\n    </div>\n  );\n}\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"system","subtype":"background_tasks_changed","tasks":[],"uuid":"58ddd70d-98df-4120-bff6-6812725f6426","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bhpj4t9n9","tool_use_id":"toolu_01MgRtqm8z7NsYFezCXq8HLo","status":"completed","output_file":"/private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/bhpj4t9n9.output","summary":"Background command \"Run province-wide sweep for building inspectors\" completed (exit code 0)","uuid":"b3d2d652-2615-477f-89dd-f4b959a8fe76","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_updated","task_id":"bhpj4t9n9","patch":{"status":"completed","end_time":1787616854978},"uuid":"35afc8b7-bddb-49f7-9409-3a831922b55a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW2QXFCLKF3za6qyzsV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UjTu6MfdRCS6Boqtti2YRg","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka_inspecteurs.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des inspecteurs en bâtiment (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\n# annuaire des inspecteurs en bâtiment du Québec\nfrom . import inspecteurs  # noqa: E402\napp.include_router(inspecteurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path == \"/inspecteurs\":\n        return render_inspecteurs()\"\"\")\n\nRENDER = '''def render_inspecteurs() -> HTMLResponse:\n    from . import inspecteurs as insp\n    doc = insp.load()\n    entries = doc.get(\"movers\", [])\n    n = len(entries)\n    title = (f\"Inspecteurs en bâtiment au Québec — annuaire complet \"\n             f\"({n} entreprises) | {SITE_NAME}\")\n    description = (f\"Annuaire complet des inspecteurs en bâtiment du Québec : {n} \"\n                   \"entreprises d'inspection préachat, prévente et préréception dans \"\n                   \"les 17 régions administratives, avec téléphone, site web et note \"\n                   \"Google. Trouvez un inspecteur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in entries:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _insp_ld(m: dict) -> dict:\n        d = {\"@type\": \"ProfessionalService\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Inspecteurs en bâtiment du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Inspecteurs en bâtiment\", \"/inspecteurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Inspecteurs en bâtiment du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _insp_ld(m)}\n                   for i, m in enumerate(entries[:100])]}]\n    return _page(title, description, BASE_URL + \"/inspecteurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",\n                               \"/inspecteurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import Home from \"./pages/Home\";\\nimport InspecteursPage from \"./pages/Inspecteurs\";')\n\nsub(APP, '<Route path=\"/demenageurs\" element={<DemenageursPage />} />',\n    '<Route path=\"/demenageurs\" element={<DemenageursPage />} />\\n'\n    '          <Route path=\"/inspecteurs\" element={<InspecteursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''',\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n            <NavLink to=\"/inspecteurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Inspecteurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },',\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },\\n'\n    '  { to: \"/inspecteurs\", label: \"Inspecteurs en bâtiment\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka inspecteurs terminé\")\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2944,"cache_read_input_tokens":134729,"cache_creation":{"ephemeral_5m_input_tokens":2944,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b4a6d95a-3eda-41b7-a1da-5b7aefbd9913","request_id":"req_011CeNW2NsXJqHiPVJ9xQqX1"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka_inspecteurs.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des inspecteurs en bâtiment (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\n# annuaire des inspecteurs en bâtiment du Québec\nfrom . import inspecteurs  # noqa: E402\napp.include_router(inspecteurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path == \"/inspecteurs\":\n        return render_inspecteurs()\"\"\")\n\nRENDER = '''def render_inspecteurs() -> HTMLResponse:\n    from . import inspecteurs as insp\n    doc = insp.load()\n    entries = doc.get(\"movers\", [])\n    n = len(entries)\n    title = (f\"Inspecteurs en bâtiment au Québec — annuaire complet \"\n             f\"({n} entreprises) | {SITE_NAME}\")\n    description = (f\"Annuaire complet des inspecteurs en bâtiment du Québec : {n} \"\n                   \"entreprises d'inspection préachat, prévente et préréception dans \"\n                   \"les 17 régions administratives, avec téléphone, site web et note \"\n                   \"Google. Trouvez un inspecteur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in entries:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _insp_ld(m: dict) -> dict:\n        d = {\"@type\": \"ProfessionalService\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Inspecteurs en bâtiment du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Inspecteurs en bâtiment\", \"/inspecteurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Inspecteurs en bâtiment du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _insp_ld(m)}\n                   for i, m in enumerate(entries[:100])]}]\n    return _page(title, description, BASE_URL + \"/inspecteurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",\n                               \"/inspecteurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import Home from \"./pages/Home\";\\nimport InspecteursPage from \"./pages/Inspecteurs\";')\n\nsub(APP, '<Route path=\"/demenageurs\" element={<DemenageursPage />} />',\n    '<Route path=\"/demenageurs\" element={<DemenageursPage />} />\\n'\n    '          <Route path=\"/inspecteurs\" element={<InspecteursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''',\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n            <NavLink to=\"/inspecteurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Inspecteurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },',\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },\\n'\n    '  { to: \"/inspecteurs\", label: \"Inspecteurs en bâtiment\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka inspecteurs terminé\")\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UjTu6MfdRCS6Boqtti2YRg","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka_inspecteurs.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"4bae03fe-b07a-44ae-96d2-83b4f21f1595","timestamp":"2026-08-25T00:14:24.482Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/patch_immoka_inspecteurs.py","content":"#!/usr/bin/env python3\n\"\"\"Patch immo-ka : annuaire des inspecteurs en bâtiment (web.py, seo.py, App.tsx).\"\"\"\nfrom pathlib import Path\n\n\ndef sub(path: str, old: str, new: str) -> None:\n    p = Path(path)\n    t = p.read_text(encoding=\"utf-8\")\n    if new in t:\n        print(\"déjà patché :\", path)\n        return\n    assert old in t, f\"ANCRE INTROUVABLE dans {path}: {old[:70]!r}\"\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\n    print(\"ok :\", path)\n\n\n# --- web.py : monter le router de l'annuaire ---------------------------------\nsub(\"immoka/web.py\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\"\"\",\n    \"\"\"# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs  # noqa: E402\napp.include_router(demenageurs.router)\n# annuaire des inspecteurs en bâtiment du Québec\nfrom . import inspecteurs  # noqa: E402\napp.include_router(inspecteurs.router)\"\"\")\n\n# --- seo.py : dispatch SSR + rendu + sitemap pages.xml ------------------------\nsub(\"immoka/seo.py\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\"\"\",\n    \"\"\"    if path == \"/demenageurs\":\n        return render_demenageurs()\n    if path == \"/inspecteurs\":\n        return render_inspecteurs()\"\"\")\n\nRENDER = '''def render_inspecteurs() -> HTMLResponse:\n    from . import inspecteurs as insp\n    doc = insp.load()\n    entries = doc.get(\"movers\", [])\n    n = len(entries)\n    title = (f\"Inspecteurs en bâtiment au Québec — annuaire complet \"\n             f\"({n} entreprises) | {SITE_NAME}\")\n    description = (f\"Annuaire complet des inspecteurs en bâtiment du Québec : {n} \"\n                   \"entreprises d'inspection préachat, prévente et préréception dans \"\n                   \"les 17 régions administratives, avec téléphone, site web et note \"\n                   \"Google. Trouvez un inspecteur près de chez vous.\")\n    by_region: dict[str, list] = {}\n    for m in entries:\n        by_region.setdefault(m[\"region\"], []).append(m)\n\n    def _insp_ld(m: dict) -> dict:\n        d = {\"@type\": \"ProfessionalService\", \"name\": m[\"name\"]}\n        if m.get(\"address\"):\n            d[\"address\"] = m[\"address\"]\n        if m.get(\"phone\"):\n            d[\"telephone\"] = m[\"phone\"]\n        if m.get(\"website\"):\n            d[\"url\"] = m[\"website\"]\n        return d\n\n    parts = [f\"<h1>Inspecteurs en bâtiment du Québec — {n} entreprises</h1>\",\n             \"<p>\" + _esc(description) + \"</p>\"]\n    for region in sorted(by_region, key=lambda r: -len(by_region[r])):\n        ms = by_region[region]\n        parts.append(f\"<h2>{_esc(region)} ({len(ms)})</h2><ul>\")\n        for m in ms:\n            item = f\"<b>{_esc(m['name'])}</b> — {_esc(m['city'])}\"\n            if m.get(\"phone\"):\n                item += \", \" + _esc(m[\"phone\"])\n            if m.get(\"website\"):\n                item += ' — <a href=\"' + _esc(m[\"website\"]) + '\" rel=\"nofollow\">site web</a>'\n            parts.append(\"<li>\" + item + \"</li>\")\n        parts.append(\"</ul>\")\n    jsonld = [_breadcrumb_ld([(\"Accueil\", \"/\"), (\"Inspecteurs en bâtiment\", \"/inspecteurs\")]),\n              {\"@context\": \"https://schema.org\", \"@type\": \"ItemList\",\n               \"name\": \"Inspecteurs en bâtiment du Québec\", \"numberOfItems\": n,\n               \"itemListElement\": [\n                   {\"@type\": \"ListItem\", \"position\": i + 1, \"item\": _insp_ld(m)}\n                   for i, m in enumerate(entries[:100])]}]\n    return _page(title, description, BASE_URL + \"/inspecteurs\", \"\".join(parts),\n                 jsonld=jsonld)\n\n\ndef render_404() -> HTMLResponse:'''\nsub(\"immoka/seo.py\", \"def render_404() -> HTMLResponse:\", RENDER)\n\nsub(\"immoka/seo.py\",\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",''',\n    '''for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",\n                               \"/inspecteurs\",''')\n\n# --- App.tsx : import + route + nav + menu mobile -----------------------------\nAPP = \"frontend/src/App.tsx\"\nsub(APP, 'import Home from \"./pages/Home\";',\n    'import Home from \"./pages/Home\";\\nimport InspecteursPage from \"./pages/Inspecteurs\";')\n\nsub(APP, '<Route path=\"/demenageurs\" element={<DemenageursPage />} />',\n    '<Route path=\"/demenageurs\" element={<DemenageursPage />} />\\n'\n    '          <Route path=\"/inspecteurs\" element={<InspecteursPage />} />')\n\nsub(APP,\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>''',\n    '''            <NavLink to=\"/demenageurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Déménageurs\n            </NavLink>\n            <NavLink to=\"/inspecteurs\" className={({ isActive }) => (isActive ? \"active\" : \"\")}>\n              Inspecteurs\n            </NavLink>''')\n\nsub(APP,\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },',\n    '  { to: \"/demenageurs\", label: \"Déménageurs\", icon: \"building\", end: false },\\n'\n    '  { to: \"/inspecteurs\", label: \"Inspecteurs en bâtiment\", icon: \"building\", end: false },')\n\nprint(\"patch immo-ka inspecteurs terminé\")\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f994afe6-8d8e-4dc8-9c05-ffcd0affbb2c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW41H4ZupJqnBP9PNtK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XErvscsxW9JaLMtK51tJ1C","name":"Bash","input":{"command":"tail -22 /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/bhpj4t9n9.output && python3 -c \"\nimport json, collections\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json'))\nms=d['movers']\nprint('count', d['count'])\nprint('avec site web:', sum(1 for m in ms if m['website']), '| tél:', sum(1 for m in ms if m['phone']), '| note:', sum(1 for m in ms if m['rating']))\nprint(collections.Counter(m['category'] for m in ms).most_common(10))\"","description":"Inspect inspectors dataset quality"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":292,"cache_creation_input_tokens":2399,"cache_read_input_tokens":137673,"cache_creation":{"ephemeral_5m_input_tokens":2399,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f8d978a9-083d-496f-890c-8e329e907464","request_id":"req_011CeNW3ygow7DPnW3LrW5D1"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"tail -22 /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/49bdd1d3-5283-4475-898f-834f4ab20055/tasks/bhpj4t9n9.output && python3 -c \"\nimport json, collections\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json'))\nms=d['movers']\nprint('count', d['count'])\nprint('avec site web:', sum(1 for m in ms if m['website']), '| tél:', sum(1 for m in ms if m['phone']), '| note:', sum(1 for m in ms if m['rating']))\nprint(collections.Counter(m['category'] for m in ms).most_common(10))\"","description":"Inspect inspectors dataset quality"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XErvscsxW9JaLMtK51tJ1C","type":"tool_result","content":"  … 125/188 villes, 1634 fiches brutes, 292 requêtes\n  … 150/188 villes, 2044 fiches brutes, 344 requêtes\n  … 175/188 villes, 2456 fiches brutes, 407 requêtes\n\n✅ 548 inspecteurs uniques (3240 fiches brutes, 434 requêtes Serper) → /Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json\n   Montérégie: 81\n   Montréal: 63\n   Capitale-Nationale: 60\n   Estrie: 51\n   Lanaudière: 46\n   Laurentides: 46\n   Saguenay–Lac-Saint-Jean: 36\n   Outaouais: 30\n   Laval: 26\n   Bas-Saint-Laurent: 25\n   Mauricie: 22\n   Chaudière-Appalaches: 20\n   Centre-du-Québec: 13\n   Côte-Nord: 11\n   Gaspésie–Îles-de-la-Madeleine: 9\n   Abitibi-Témiscamingue: 7\n   Nord-du-Québec: 2\ncount 548\navec site web: 458 | tél: 531 | note: 490\n[('Inspecteur en bâtiment', 519), ('Inspecteur immobilier', 11), ('Inspecteur immobilier commercial', 4), ('Entrepreneur', 2), ('', 1), (\"Service d'urbanisme\", 1), ('Expert-conseil en environnement', 1), ('Inspection sanitaire', 1), ('Service agricole', 1), ('Ingénieur', 1)]","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6cd5ef08-aa75-4808-af85-2eefb7b59f86","timestamp":"2026-08-25T00:14:31.018Z","tool_use_result":{"stdout":"  … 125/188 villes, 1634 fiches brutes, 292 requêtes\n  … 150/188 villes, 2044 fiches brutes, 344 requêtes\n  … 175/188 villes, 2456 fiches brutes, 407 requêtes\n\n✅ 548 inspecteurs uniques (3240 fiches brutes, 434 requêtes Serper) → /Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json\n   Montérégie: 81\n   Montréal: 63\n   Capitale-Nationale: 60\n   Estrie: 51\n   Lanaudière: 46\n   Laurentides: 46\n   Saguenay–Lac-Saint-Jean: 36\n   Outaouais: 30\n   Laval: 26\n   Bas-Saint-Laurent: 25\n   Mauricie: 22\n   Chaudière-Appalaches: 20\n   Centre-du-Québec: 13\n   Côte-Nord: 11\n   Gaspésie–Îles-de-la-Madeleine: 9\n   Abitibi-Témiscamingue: 7\n   Nord-du-Québec: 2\ncount 548\navec site web: 458 | tél: 531 | note: 490\n[('Inspecteur en bâtiment', 519), ('Inspecteur immobilier', 11), ('Inspecteur immobilier commercial', 4), ('Entrepreneur', 2), ('', 1), (\"Service d'urbanisme\", 1), ('Expert-conseil en environnement', 1), ('Inspection sanitaire', 1), ('Service agricole', 1), ('Ingénieur', 1)]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8b982974-b10f-4827-b178-fe78ee793fdb","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"16ef1555-311c-4c5e-baf4-09f1d3d1c555","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"cc4973f4-856f-439d-9f55-6703c2e2006f","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":189,"estimated_tokens_delta":39,"uuid":"a796438e-1b57-45f8-8ace-cee43e17c396","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW4WC7kdRJmS5WHf5Yp","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1192,"cache_read_input_tokens":140072,"cache_creation":{"ephemeral_5m_input_tokens":1192,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6f646b97-cff4-4e84-90f0-0840c92a63da","request_id":"req_011CeNW4UcrqsuoCxyCFGj7u"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW4WC7kdRJmS5WHf5Yp","type":"message","role":"assistant","content":[{"type":"text","text":"548 inspecteurs, catégories très propres (519 « Inspecteur en bâtiment », 490 avec note Google). Je vérifie les quelques entrées à catégorie douteuse avant de déployer."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1192,"cache_read_input_tokens":140072,"cache_creation":{"ephemeral_5m_input_tokens":1192,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"934015bd-1408-4230-b670-bfd902e6c781","request_id":"req_011CeNW4UcrqsuoCxyCFGj7u"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW4WC7kdRJmS5WHf5Yp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BNDoA8UMBMTiSEjqschcx8","name":"Bash","input":{"command":"python3 -c \"\nimport json\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json'))\nok={'Inspecteur en bâtiment','Inspecteur immobilier','Inspecteur immobilier commercial',''}\nfor m in d['movers']:\n    if m['category'] not in ok:\n        print(m['category'],'|',m['name'],'|',m['city'],'|',m['website'])\"","description":"List suspicious-category entries"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1192,"cache_read_input_tokens":140072,"cache_creation":{"ephemeral_5m_input_tokens":1192,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"fbc20260-b995-4b56-81cc-b47e80d4fbb5","request_id":"req_011CeNW4UcrqsuoCxyCFGj7u"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"python3 -c \"\nimport json\nd=json.load(open('/Users/simon-pierreboucher/ka-orchestrator/demenageurs/inspecteurs.json'))\nok={'Inspecteur en bâtiment','Inspecteur immobilier','Inspecteur immobilier commercial',''}\nfor m in d['movers']:\n    if m['category'] not in ok:\n        print(m['category'],'|',m['name'],'|',m['city'],'|',m['website'])\"","description":"List suspicious-category entries"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BNDoA8UMBMTiSEjqschcx8","type":"tool_result","content":"Service d'urbanisme | Service des permis et inspection de la Ville de Lévis | Lévis | https://www.ville.levis.qc.ca/developpement-planification/planification-urbanisme/services-urbanisme/\nEntrepreneur | CT Inspections | Sherbrooke | https://www.ctinspectionsinc.com/\nExpert-conseil en environnement | Inspectech | Sherbrooke | http://inspectech-estrie.com/\nInspection sanitaire | Global Lanaudière | Joliette | \nService agricole | agro-inspection | Joliette | http://agro-inspection.com/\nIngénieur | Inspect-Ing inc. | Blainville | \nEntrepreneur général | Precision Inspection Construction | Laval | http://www.precisioninspect.ca/\nPoste d'inspection de voitures | Centre d'Inspection Mandataire SAAQ de Delson | Delson | \nEntrepreneur | Inspections Bousquet | Montréal | https://www.linkedin.com/in/inspectionsbousquet/\nMinistère de la Sécurité publique | Inspection - Sécurité publique de Pointe-Claire | Pointe-Claire | \nSiège social | Inspection de bâtiments RF | Alma | https://www.inspectionrf.com/\nEntreprise de métallurgie | Mectal inspection | Alma | https://mectal.ca/\nEntreprise de construction | Construction et Inspection Moisan Inc. | Baie-d'Urfé | http://constructionmoisan.com/","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c6628910-4f93-40a3-b4d1-1a4a3c796258","timestamp":"2026-08-25T00:14:42.767Z","tool_use_result":{"stdout":"Service d'urbanisme | Service des permis et inspection de la Ville de Lévis | Lévis | https://www.ville.levis.qc.ca/developpement-planification/planification-urbanisme/services-urbanisme/\nEntrepreneur | CT Inspections | Sherbrooke | https://www.ctinspectionsinc.com/\nExpert-conseil en environnement | Inspectech | Sherbrooke | http://inspectech-estrie.com/\nInspection sanitaire | Global Lanaudière | Joliette | \nService agricole | agro-inspection | Joliette | http://agro-inspection.com/\nIngénieur | Inspect-Ing inc. | Blainville | \nEntrepreneur général | Precision Inspection Construction | Laval | http://www.precisioninspect.ca/\nPoste d'inspection de voitures | Centre d'Inspection Mandataire SAAQ de Delson | Delson | \nEntrepreneur | Inspections Bousquet | Montréal | https://www.linkedin.com/in/inspectionsbousquet/\nMinistère de la Sécurité publique | Inspection - Sécurité publique de Pointe-Claire | Pointe-Claire | \nSiège social | Inspection de bâtiments RF | Alma | https://www.inspectionrf.com/\nEntreprise de métallurgie | Mectal inspection | Alma | https://mectal.ca/\nEntreprise de construction | Construction et Inspection Moisan Inc. | Baie-d'Urfé | http://constructionmoisan.com/","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"92385daa-f629-4034-995a-dd1de86ddee9","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"a65d1538-6e35-4c74-ab96-62d4128efca2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"009e388d-c87c-4659-abcd-a01670e5cdff","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"af357003-1406-4911-95d5-a0999e8a73ed","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":150,"uuid":"11b95936-f2fb-445e-86bd-6787a726e781","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"b2129c31-4c83-4905-9792-ee8c14944f8f","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"6923108a-d410-4a68-80a8-9538a8ccc550","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":50,"uuid":"b71b6082-35cc-4539-be63-b14c38b1011c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW5MAR4uNd2u8WtDV7A","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":1024,"cache_read_input_tokens":141264,"cache_creation":{"ephemeral_5m_input_tokens":1024,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a2a3672c-7a68-421e-b811-0f30054c333f","request_id":"req_011CeNW5Ki7GhbhySXQZdidN"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW5MAR4uNd2u8WtDV7A","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":1024,"cache_read_input_tokens":141264,"cache_creation":{"ephemeral_5m_input_tokens":1024,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0460ff79-f983-47d5-b2de-dbc34db7eec9","request_id":"req_011CeNW5Ki7GhbhySXQZdidN"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW5MAR4uNd2u8WtDV7A","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XdLiqYhRZLfve72PZv4Yha","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && python3 - <<'EOF'\nimport json, re, unicodedata\nfrom pathlib import Path\n\nnorm = lambda s: unicodedata.normalize(\"NFKD\", s or \"\").encode(\"ascii\",\"ignore\").decode()\nNEW_EXCL = r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur|saaq|voiture|urbanisme|securite publique|metallurg|agricole|sanitaire\"\n\n# 1. script : filtre d'exclusion enrichi\np = Path(\"build_inspecteurs.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = r'\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\"'\nassert old in t\np.write_text(t.replace(old, '\"' + NEW_EXCL + '\"'), encoding=\"utf-8\")\n\n# 2. JSON : élaguer avec le même filtre\nexcl = re.compile(NEW_EXCL, re.I)\nd = json.load(open(\"inspecteurs.json\"))\nbefore = len(d[\"movers\"])\nd[\"movers\"] = [m for m in d[\"movers\"] if not excl.search(norm(m[\"category\"]) + \" \" + norm(m[\"name\"]))]\nd[\"count\"] = len(d[\"movers\"])\nPath(\"inspecteurs.json\").write_text(json.dumps(d, ensure_ascii=False, indent=1), encoding=\"utf-8\")\nprint(f\"élagage : {before} → {d['count']}\")\nEOF","description":"Prune off-topic entries and harden the exclusion filter"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":1024,"cache_read_input_tokens":141264,"cache_creation":{"ephemeral_5m_input_tokens":1024,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"449c7b80-7f1a-4103-bf19-340c47e35398","request_id":"req_011CeNW5Ki7GhbhySXQZdidN"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && python3 - <<'EOF'\nimport json, re, unicodedata\nfrom pathlib import Path\n\nnorm = lambda s: unicodedata.normalize(\"NFKD\", s or \"\").encode(\"ascii\",\"ignore\").decode()\nNEW_EXCL = r\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur|saaq|voiture|urbanisme|securite publique|metallurg|agricole|sanitaire\"\n\n# 1. script : filtre d'exclusion enrichi\np = Path(\"build_inspecteurs.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = r'\"auto|vehicul|camion|mecanique|pneu|extermin|parasit|ascenseur\"'\nassert old in t\np.write_text(t.replace(old, '\"' + NEW_EXCL + '\"'), encoding=\"utf-8\")\n\n# 2. JSON : élaguer avec le même filtre\nexcl = re.compile(NEW_EXCL, re.I)\nd = json.load(open(\"inspecteurs.json\"))\nbefore = len(d[\"movers\"])\nd[\"movers\"] = [m for m in d[\"movers\"] if not excl.search(norm(m[\"category\"]) + \" \" + norm(m[\"name\"]))]\nd[\"count\"] = len(d[\"movers\"])\nPath(\"inspecteurs.json\").write_text(json.dumps(d, ensure_ascii=False, indent=1), encoding=\"utf-8\")\nprint(f\"élagage : {before} → {d['count']}\")\nEOF","description":"Prune off-topic entries and harden the exclusion filter"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XdLiqYhRZLfve72PZv4Yha","type":"tool_result","content":"élagage : 548 → 542","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"57fed052-950f-445a-9df2-422a53fa682e","timestamp":"2026-08-25T00:15:07.113Z","tool_use_result":{"stdout":"élagage : 548 → 542","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW5MAR4uNd2u8WtDV7A","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ebcq4EewijLhS6dt1Eo6ot","name":"TaskUpdate","input":{"taskId":"4","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":1024,"cache_read_input_tokens":141264,"cache_creation":{"ephemeral_5m_input_tokens":1024,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e9a7ef2f-26fa-4781-acad-d9328554c144","request_id":"req_011CeNW5Ki7GhbhySXQZdidN"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ebcq4EewijLhS6dt1Eo6ot","type":"tool_result","content":"Updated task #4 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a84c23d9-b94e-455b-a9e8-2b7914166110","timestamp":"2026-08-25T00:15:07.682Z","tool_use_result":{"success":true,"taskId":"4","updatedFields":["status"],"statusChange":{"from":"pending","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW5MAR4uNd2u8WtDV7A","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q4yrKAcd5Fxk2Ubhx7FPt7","name":"TaskUpdate","input":{"taskId":"5","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":1024,"cache_read_input_tokens":141264,"cache_creation":{"ephemeral_5m_input_tokens":1024,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1c224e46-6cec-4ab2-9ab3-5da9b85b3a41","request_id":"req_011CeNW5Ki7GhbhySXQZdidN"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q4yrKAcd5Fxk2Ubhx7FPt7","type":"tool_result","content":"Updated task #5 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"67b53bb1-79dd-43d5-8610-d72c09a95a22","timestamp":"2026-08-25T00:15:07.687Z","tool_use_result":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"41a3ec71-74f4-4d10-88fd-2c536e42e325","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW7CCU3nmAZ2mN3Y93L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014EogX9GriAMTrHFxom1WRE","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M4M64a 'cd ~/apps/immo-ka && git status --porcelain | head' && scp -q inspecteurs.json M4M64a:~/apps/immo-ka/data/inspecteurs.json && scp -q inspecteurs_module.py M4M64a:~/apps/immo-ka/immoka/inspecteurs.py && scp -q build_inspecteurs.py M4M64a:~/apps/immo-ka/scripts/build_inspecteurs.py && scp -q Inspecteurs.tsx M4M64a:~/apps/immo-ka/frontend/src/pages/Inspecteurs.tsx && scp -q patch_immoka_inspecteurs.py M4M64a:/tmp/ && ssh M4M64a 'cd ~/apps/immo-ka && python3 /tmp/patch_immoka_inspecteurs.py && python3 -c \"import ast; [ast.parse(open(f).read()) for f in (\\\"immoka/seo.py\\\",\\\"immoka/web.py\\\",\\\"immoka/inspecteurs.py\\\")]; print(\\\"syntaxe OK\\\")\" && cd frontend && npm run build 2>&1 | tail -2'","description":"Deploy inspectors files to immo-ka, patch, build","timeout":300000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2005,"cache_read_input_tokens":142288,"cache_creation":{"ephemeral_5m_input_tokens":2005,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"436c3b92-b2f0-4164-8789-e7fbb5a883da","request_id":"req_011CeNW7AbERyn6fS4Pj66ua"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M4M64a 'cd ~/apps/immo-ka && git status --porcelain | head' && scp -q inspecteurs.json M4M64a:~/apps/immo-ka/data/inspecteurs.json && scp -q inspecteurs_module.py M4M64a:~/apps/immo-ka/immoka/inspecteurs.py && scp -q build_inspecteurs.py M4M64a:~/apps/immo-ka/scripts/build_inspecteurs.py && scp -q Inspecteurs.tsx M4M64a:~/apps/immo-ka/frontend/src/pages/Inspecteurs.tsx && scp -q patch_immoka_inspecteurs.py M4M64a:/tmp/ && ssh M4M64a 'cd ~/apps/immo-ka && python3 /tmp/patch_immoka_inspecteurs.py && python3 -c \"import ast; [ast.parse(open(f).read()) for f in (\\\"immoka/seo.py\\\",\\\"immoka/web.py\\\",\\\"immoka/inspecteurs.py\\\")]; print(\\\"syntaxe OK\\\")\" && cd frontend && npm run build 2>&1 | tail -2'","timeout":300000,"description":"Deploy inspectors files to immo-ka, patch, build"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bu3rwopth","tool_use_id":"toolu_014EogX9GriAMTrHFxom1WRE","description":"Deploy inspectors files to immo-ka, patch, build","task_type":"local_bash","uuid":"95d121fe-f2c0-462f-94ba-484852ea34da","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bu3rwopth","tool_use_id":"toolu_014EogX9GriAMTrHFxom1WRE","status":"completed","output_file":"","summary":"Deploy inspectors files to immo-ka, patch, build","uuid":"15793d61-37d3-40bb-b82f-4c8fe894e1bf","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014EogX9GriAMTrHFxom1WRE","type":"tool_result","content":"ok : immoka/web.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch immo-ka inspecteurs terminé\nsyntaxe OK\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.17s","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a402db13-71d0-44f6-9150-45015ba59796","timestamp":"2026-08-25T00:15:20.796Z","tool_use_result":{"stdout":"ok : immoka/web.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : immoka/seo.py\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\nok : frontend/src/App.tsx\npatch immo-ka inspecteurs terminé\nsyntaxe OK\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.17s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a987556b-337a-4700-9f35-53bd5c6c32d6","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW8A5kMTWHN1CJAehbX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018hCCFk6Bj83g8eGjwYbE9x","name":"Bash","input":{"command":"ssh M4M64a 'pm2 restart immo-ka-web --update-env >/dev/null 2>&1 && sleep 3 && curl -s localhost:8096/api/inspecteurs | python3 -c \"import json,sys; d=json.load(sys.stdin); print(\\\"API:\\\", d[\\\"total\\\"], \\\"inspecteurs,\\\", len(d[\\\"regions\\\"]), \\\"régions\\\")\" && curl -s localhost:8096/inspecteurs | grep -o \"<title>[^<]*</title>\" && curl -s -o /dev/null -w \"home:%{http_code} demenageurs:\" localhost:8096/ && curl -s -o /dev/null -w \"%{http_code} \" localhost:8096/demenageurs && curl -s localhost:8096/sitemaps/pages.xml | grep -o \"inspecteurs\" | wc -l' && echo \"SSR li: $(curl -s https://www.immo-ka.com/inspecteurs | grep -o '<li><b>' | wc -l)\" && curl -s -o /dev/null -w \"public:%{http_code}\\n\" https://www.immo-ka.com/inspecteurs","description":"Restart immo-ka and full healthcheck"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":713,"cache_read_input_tokens":144293,"cache_creation":{"ephemeral_5m_input_tokens":713,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"161f7eb9-182a-41c6-afa6-69220cc7879f","request_id":"req_011CeNW88K61WeV7TqkimMFL"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018hCCFk6Bj83g8eGjwYbE9x","type":"tool_result","content":"API: 542 inspecteurs, 17 régions\n<title>Inspecteurs en bâtiment au Québec — annuaire complet (542 entreprises) | Immo-Ka</title>\nhome:200 demenageurs:200        1\nSSR li:      542\npublic:200","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f05da20f-290f-42d0-9c47-58f51cba2ec8","timestamp":"2026-08-25T00:15:31.803Z","tool_use_result":{"stdout":"API: 542 inspecteurs, 17 régions\n<title>Inspecteurs en bâtiment au Québec — annuaire complet (542 entreprises) | Immo-Ka</title>\nhome:200 demenageurs:200        1\nSSR li:      542\npublic:200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW8xx3oSkEu8p3A5wjZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WJkrMbxonQ1kSfJWrVrtv5","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && git add data/inspecteurs.json immoka/inspecteurs.py scripts/build_inspecteurs.py frontend/src/pages/Inspecteurs.tsx frontend/src/App.tsx immoka/web.py immoka/seo.py && git commit -m \"Annuaire des inspecteurs en bâtiment du Québec : page /inspecteurs (542 entreprises, 17 régions)\n\n- data/inspecteurs.json : dataset canonique (balayage Google Places via Serper,\n  188 villes, requêtes inspecteur en bâtiment + inspection préachat,\n  dédoublonnage CID/téléphone, exclusions SAAQ/municipal/agricole)\n- immoka/inspecteurs.py : API /api/inspecteurs (filtres région + texte)\n- frontend : page Inspecteurs.tsx (recherche, filtre par région, tel:/site web),\n  liens nav + menu mobile\n- seo.py : SSR /inspecteurs (liste complète par région, JSON-LD\n  ProfessionalService ItemList) + entrée sitemaps/pages.xml\n- scripts/build_inspecteurs.py : régénération du dataset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -2 && git log -1 --format=\"%h %s\"'","description":"Commit and push immo-ka inspectors"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":560,"cache_read_input_tokens":145006,"cache_creation":{"ephemeral_5m_input_tokens":560,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"084dc995-25a1-4cb3-bbd4-a1ecd6b3e6ce","request_id":"req_011CeNW8wPJ4CKi6ZB7iMGxm"}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WJkrMbxonQ1kSfJWrVrtv5","type":"tool_result","content":"[main 0b14f65] Annuaire des inspecteurs en bâtiment du Québec : page /inspecteurs (542 entreprises, 17 régions)\n 7 files changed, 8754 insertions(+)\n create mode 100644 data/inspecteurs.json\n create mode 100644 frontend/src/pages/Inspecteurs.tsx\n create mode 100644 immoka/inspecteurs.py\n create mode 100644 scripts/build_inspecteurs.py\nTo gitsrv:srv/git/immo-ka.git\n   03aa088..0b14f65  main -> main\n0b14f65 Annuaire des inspecteurs en bâtiment du Québec : page /inspecteurs (542 entreprises, 17 régions)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"77172994-193f-482a-8f51-7d0bec8d0d8f","timestamp":"2026-08-25T00:15:42.038Z","tool_use_result":{"stdout":"[main 0b14f65] Annuaire des inspecteurs en bâtiment du Québec : page /inspecteurs (542 entreprises, 17 régions)\n 7 files changed, 8754 insertions(+)\n create mode 100644 data/inspecteurs.json\n create mode 100644 frontend/src/pages/Inspecteurs.tsx\n create mode 100644 immoka/inspecteurs.py\n create mode 100644 scripts/build_inspecteurs.py\nTo gitsrv:srv/git/immo-ka.git\n   03aa088..0b14f65  main -> main\n0b14f65 Annuaire des inspecteurs en bâtiment du Québec : page /inspecteurs (542 entreprises, 17 régions)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"0b14f65","kind":"committed"},"push":{"branch":"main"}}}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LJRLYrVrp9vgDVEu3BvkCm","type":"tool_result","content":"Updated task #5 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"77706fa3-c5b6-460b-91f8-9aef9f4ffc11","timestamp":"2026-08-25T00:15:45.960Z","tool_use_result":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNW9igqEHQhdjji99S4a","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzXYCm6Ev3Ed3y3WmX9EVh","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/ka-annuaire-demenageurs.md","old_string":"---\nname: ka-annuaire-demenageurs\ndescription: Annuaire des déménageurs du Québec — page /demenageurs identique sur Lou-Ka et Immo-Ka, dataset canonique + script de régénération\nmetadata:\n  type: project\n---\n\nCréé le 2026-08-24 : page **/demenageurs** (annuaire complet des déménageurs du Québec) sur **Lou-Ka** (M3U96b, commit `7e29e36`) et **Immo-Ka** (M4M64a, commit `03aa088`).","new_string":"---\nname: ka-annuaire-demenageurs\ndescription: Annuaires KA (déménageurs Lou-Ka+Immo-Ka, inspecteurs en bâtiment Immo-Ka) — pipeline Serper Places réutilisable, datasets canoniques + scripts de régénération\nmetadata:\n  type: project\n---\n\nCréé le 2026-08-24 : page **/demenageurs** (annuaire complet des déménageurs du Québec) sur **Lou-Ka** (M3U96b, commit `7e29e36`) et **Immo-Ka** (M4M64a, commit `03aa088`). Même jour : page **/inspecteurs** (542 inspecteurs en bâtiment, Immo-Ka seulement, commit `0b14f65`) — même pipeline dupliqué (`build_inspecteurs.py`, `data/inspecteurs.json`, `immoka/inspecteurs.py`, `Inspecteurs.tsx`) ; le JSON garde la clé générique `movers`. Filtre inspecteurs : inclure `inspect`, exclure `auto|saaq|voiture|urbanisme|securite publique|metallurg|agricole|sanitaire|extermin…`. **Le pipeline est réutilisable pour tout futur annuaire** (copier build_*.py + module + page, ~30 min)."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":927,"cache_read_input_tokens":145566,"cache_creation":{"ephemeral_5m_input_tokens":927,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"dcd40a37-90e3-4fb9-b01e-5f19bd3c2cb8","request_id":"req_011CeNW9hBJZpBzCpJYH3S9d"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWSBzMKYVVPfkwHt1vU","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":130019,"cache_read_input_tokens":21445,"cache_creation":{"ephemeral_5m_input_tokens":130019,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"messages_changed","cache_missed_input_tokens":101590}},"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"9f39454f-e146-47e2-b15a-cd79f6c726c5","request_id":"req_011CeNWSADgcScHFRTjvTkNK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWSBzMKYVVPfkwHt1vU","type":"message","role":"assistant","content":[{"type":"text","text":"On va faire des pages `/stats` légendaires : toutes les couches d'enrichissement des fiches (KA Scores, juste valeur/Vrai-Prix, coût réel, Hydro/gaz/air, inondation, RDL/TAL, POI/quartier, historique, gestionnaires, annuaires…) doivent avoir leurs statistiques de couverture et leurs agrégats sur la page stats de chaque site. J'explore d'abord l'existant des deux apps."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":130019,"cache_read_input_tokens":21445,"cache_creation":{"ephemeral_5m_input_tokens":130019,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"messages_changed","cache_missed_input_tokens":101590}},"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0b17cbc4-73bc-428e-8640-cfa52bafb14a","request_id":"req_011CeNWSADgcScHFRTjvTkNK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWSBzMKYVVPfkwHt1vU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NEuVCeuw44gafa66G6nPs9","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && wc -l louka/statsdash.py louka/statsextra.py frontend/src/pages/Stats.tsx && sed -n \"792,860p\" louka/web.py && echo \"===STATSDASH heads===\" && grep -n \"^def \\|^    def \" louka/statsdash.py | head -30 && echo \"===STATSEXTRA===\" && grep -n \"^def \" louka/statsextra.py | head -30'","description":"Explore lou-ka stats backend"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":130019,"cache_read_input_tokens":21445,"cache_creation":{"ephemeral_5m_input_tokens":130019,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"messages_changed","cache_missed_input_tokens":101590}},"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7752cbb1-4dab-433d-aad2-a0675f521d5e","request_id":"req_011CeNWSADgcScHFRTjvTkNK"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && wc -l louka/statsdash.py louka/statsextra.py frontend/src/pages/Stats.tsx && sed -n \"792,860p\" louka/web.py && echo \"===STATSDASH heads===\" && grep -n \"^def \\|^    def \" louka/statsdash.py | head -30 && echo \"===STATSEXTRA===\" && grep -n \"^def \" louka/statsextra.py | head -30'","description":"Explore lou-ka stats backend"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NEuVCeuw44gafa66G6nPs9","type":"tool_result","content":"     801 louka/statsdash.py\n     340 louka/statsextra.py\n     223 frontend/src/pages/Stats.tsx\n    1364 total\n    \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n    \"\"\"Stats globales + journal de synchronisation.\n\n    `syncs_since_h` (optionnel) : fenêtre en heures pour `recent_syncs` — le\n    moniteur central (api-ka) polle aux 2 h et les 20 dernières entrées ne\n    couvrent que ~11 min d'activité sur ~200 sources (fausses alertes\n    « stale »). Avec le paramètre : toutes les entrées des N dernières heures\n    (max 4000) ; s'il y en a moins de 20, on retombe sur les 20 dernières\n    toutes époques confondues. Sans le paramètre : comportement historique\n    inchangé (LIMIT 20).\n    \"\"\"\n    con = db.connect()\n    gm = \",\".join(\"?\" * len(_VILLES_GM))\n    row = con.execute(\n        f\"\"\"SELECT COUNT(*) total,\n                  SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n                  SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n                  SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n                  SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n                      THEN 1 ELSE 0 END) autres,\n                  COUNT(DISTINCT source) sources,\n                  AVG(price) avg_price\n           FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n        list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n    log: list[dict] = []\n    if syncs_since_h is not None:\n        import time as _time\n        cutoff = _time.time() - syncs_since_h * 3600\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log WHERE ts >= ? ORDER BY ts DESC LIMIT 4000\",\n            (cutoff,))]\n    if syncs_since_h is None or len(log) < 20:\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n    # qualité des données : complétude moyenne + quarantaine (quality.py)\n    qual = con.execute(\n        \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n                  SUM(published=1) publiees, SUM(published=0) quarantaine\n           FROM listings WHERE active=1\"\"\"\n    ).fetchone()\n    con.close()\n    return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n    \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n    from . import marketstats\n    return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n                    from_: str | None = Query(None, alias=\"from\"),\n                    to: str | None = None):\n    \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n    from . import statsdash\n    if period not in _PERIODES_VALIDES and not (from_ and to):\n        period = \"30j\"\n    return statsdash.compute(period, from_, to)\n===STATSDASH heads===\n50:def _day_start_ts(d: date) -> float:\n54:def _coverage(con) -> tuple[date | None, date | None]:\n66:def resolve_period(period: str, from_: str | None, to_: str | None,\n86:def _pct(cur: float, prev: float) -> float | None:\n92:def _days(a: date, b: date) -> list[date]:\n96:def _fr_int(n: float) -> str:\n100:def _fr_money(n: float) -> str:\n104:def _spark(pts: list[dict], cap: int = 30) -> list[dict] | None:\n117:def _source_names() -> dict[str, str]:\n125:def _pctile(sorted_vals: list[float], frac: float) -> float | None:\n133:def compute(period: str = \"30j\", from_: str | None = None,\n147:def _compute(period: str, from_: str | None, to_: str | None) -> dict:\n169:def _build(con, period: str, from_: str | None, to_: str | None) -> dict:\n190:    def actives_at(d: date) -> int:\n553:    def _city_median(city: str) -> float | None:\n===STATSEXTRA===\n28:def _ro(name: str) -> sqlite3.Connection | None:\n37:def _money(v) -> str:\n41:def _q(vals: list[float], f: float) -> float:\n52:def _panel_rdl() -> dict | None:\n128:def _active_where(con: sqlite3.Connection) -> str:\n137:def _panel_population(con: sqlite3.Connection) -> dict | None:\n257:def _panel_gaz() -> dict | None:\n325:def panels(con: sqlite3.Connection) -> list[dict]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1e616053-be3c-41e6-8de2-26a89ec4b7e4","timestamp":"2026-08-25T00:19:46.923Z","tool_use_result":{"stdout":"     801 louka/statsdash.py\n     340 louka/statsextra.py\n     223 frontend/src/pages/Stats.tsx\n    1364 total\n    \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n    \"\"\"Stats globales + journal de synchronisation.\n\n    `syncs_since_h` (optionnel) : fenêtre en heures pour `recent_syncs` — le\n    moniteur central (api-ka) polle aux 2 h et les 20 dernières entrées ne\n    couvrent que ~11 min d'activité sur ~200 sources (fausses alertes\n    « stale »). Avec le paramètre : toutes les entrées des N dernières heures\n    (max 4000) ; s'il y en a moins de 20, on retombe sur les 20 dernières\n    toutes époques confondues. Sans le paramètre : comportement historique\n    inchangé (LIMIT 20).\n    \"\"\"\n    con = db.connect()\n    gm = \",\".join(\"?\" * len(_VILLES_GM))\n    row = con.execute(\n        f\"\"\"SELECT COUNT(*) total,\n                  SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n                  SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n                  SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n                  SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n                      THEN 1 ELSE 0 END) autres,\n                  COUNT(DISTINCT source) sources,\n                  AVG(price) avg_price\n           FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n        list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n    log: list[dict] = []\n    if syncs_since_h is not None:\n        import time as _time\n        cutoff = _time.time() - syncs_since_h * 3600\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log WHERE ts >= ? ORDER BY ts DESC LIMIT 4000\",\n            (cutoff,))]\n    if syncs_since_h is None or len(log) < 20:\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n    # qualité des données : complétude moyenne + quarantaine (quality.py)\n    qual = con.execute(\n        \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n                  SUM(published=1) publiees, SUM(published=0) quarantaine\n           FROM listings WHERE active=1\"\"\"\n    ).fetchone()\n    con.close()\n    return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n    \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n    from . import marketstats\n    return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n                    from_: str | None = Query(None, alias=\"from\"),\n                    to: str | None = None):\n    \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n    from . import statsdash\n    if period not in _PERIODES_VALIDES and not (from_ and to):\n        period = \"30j\"\n    return statsdash.compute(period, from_, to)\n===STATSDASH heads===\n50:def _day_start_ts(d: date) -> float:\n54:def _coverage(con) -> tuple[date | None, date | None]:\n66:def resolve_period(period: str, from_: str | None, to_: str | None,\n86:def _pct(cur: float, prev: float) -> float | None:\n92:def _days(a: date, b: date) -> list[date]:\n96:def _fr_int(n: float) -> str:\n100:def _fr_money(n: float) -> str:\n104:def _spark(pts: list[dict], cap: int = 30) -> list[dict] | None:\n117:def _source_names() -> dict[str, str]:\n125:def _pctile(sorted_vals: list[float], frac: float) -> float | None:\n133:def compute(period: str = \"30j\", from_: str | None = None,\n147:def _compute(period: str, from_: str | None, to_: str | None) -> dict:\n169:def _build(con, period: str, from_: str | None, to_: str | None) -> dict:\n190:    def actives_at(d: date) -> int:\n553:    def _city_median(city: str) -> float | None:\n===STATSEXTRA===\n28:def _ro(name: str) -> sqlite3.Connection | None:\n37:def _money(v) -> str:\n41:def _q(vals: list[float], f: float) -> float:\n52:def _panel_rdl() -> dict | None:\n128:def _active_where(con: sqlite3.Connection) -> str:\n137:def _panel_population(con: sqlite3.Connection) -> dict | None:\n257:def _panel_gaz() -> dict | None:\n325:def panels(con: sqlite3.Connection) -> list[dict]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWSBzMKYVVPfkwHt1vU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014yzNEGBky2NJbujHj9EETd","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && wc -l immoka/stats.py immoka/statsextra.py frontend/src/pages/Stats.tsx && sed -n \"430,514p\" immoka/web.py && echo \"===STATS heads===\" && grep -n \"^def \" immoka/stats.py | head -30 && echo \"===STATSEXTRA===\" && grep -n \"^def \" immoka/statsextra.py | head -30'","description":"Explore immo-ka stats backend"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":130019,"cache_read_input_tokens":21445,"cache_creation":{"ephemeral_5m_input_tokens":130019,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"messages_changed","cache_missed_input_tokens":101590}},"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d7e940a7-ecab-42a5-8ea5-468be8212bca","request_id":"req_011CeNWSADgcScHFRTjvTkNK"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && wc -l immoka/stats.py immoka/statsextra.py frontend/src/pages/Stats.tsx && sed -n \"430,514p\" immoka/web.py && echo \"===STATS heads===\" && grep -n \"^def \" immoka/stats.py | head -30 && echo \"===STATSEXTRA===\" && grep -n \"^def \" immoka/statsextra.py | head -30'","description":"Explore immo-ka stats backend"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014yzNEGBky2NJbujHj9EETd","type":"tool_result","content":"    1034 immoka/stats.py\n     340 immoka/statsextra.py\n     398 frontend/src/pages/Stats.tsx\n    1772 total\n        out.append({\"franchise\": node[\"franchise\"], \"total\": node[\"total\"],\n                    \"sub_agencies\": len(ags), \"agencies\": ags})\n    out.sort(key=lambda x: -x[\"total\"])\n    return {\"franchises\": out}\n\n\n@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n    con = db.connect()\n    row = con.execute(\n        \"\"\"SELECT COUNT(*) total,\n                  COUNT(DISTINCT source) sources,\n                  COUNT(DISTINCT city) cities,\n                  AVG(price) avg_price,\n                  MIN(price) min_price,\n                  MAX(price) max_price\n           FROM listings WHERE active=1\"\"\" + DEDUP_CLAUSE).fetchone()\n    # Fenêtre de synchronisations pour la supervision (moniteur central api-ka) :\n    # sans paramètre, comportement historique (20 dernières entrées) ; avec\n    # ?syncs_since_h=<heures>, toutes les entrées de la fenêtre (borne 4000) —\n    # évite les fausses alertes « stale » quand 100+ sources synchronisent\n    # plus de 20 fois entre deux sondages.\n    log: list[dict] = []\n    if syncs_since_h is not None:\n        cutoff = time.time() - syncs_since_h * 3600\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log WHERE ts >= ?\"\n            \" ORDER BY ts DESC LIMIT 4000\", (cutoff,))]\n    if len(log) < 20:\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n\n    # --- écart prix demandé vs estimation Vrai-Prix, par bannière -----------\n    registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n    source_names = {s[\"id\"]: s[\"name\"] for s in registry}\n    deltas: dict[str, list[float]] = {}\n    for r in con.execute(\n            \"SELECT source, price,\"\n            \" CAST(json_extract(vraiprix, '$.value') AS REAL) vp\"\n            \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n            \" AND vraiprix LIKE '%estimation%'\"):\n        if not r[\"vp\"] or r[\"vp\"] <= 0:\n            continue\n        d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n        if -80.0 <= d <= 300.0:   # coupe les aberrations (terrains, données sales)\n            deltas.setdefault(_franchise_of(r[\"source\"], source_names), []).append(d)\n    con.close()\n\n    def _agg(name: str, ds: list[float]) -> dict:\n        ds = sorted(ds)\n        n = len(ds)\n        med = ds[n // 2] if n % 2 else (ds[n // 2 - 1] + ds[n // 2]) / 2\n        return {\n            \"banniere\": name, \"n\": n,\n            \"median_delta_pct\": round(med, 1),\n            \"p25\": round(ds[n // 4], 1), \"p75\": round(ds[(3 * n) // 4], 1),\n            \"pct_sur10\": round(100 * sum(1 for d in ds if d > 10) / n, 1),\n            \"pct_juste\": round(100 * sum(1 for d in ds if -5 <= d <= 10) / n, 1),\n            \"pct_sous5\": round(100 * sum(1 for d in ds if d < -5) / n, 1),\n        }\n\n    tous = [d for ds in deltas.values() for d in ds]\n    vraiprix = {\n        \"ensemble\": _agg(\"Toutes bannières\", tous) if tous else None,\n        \"bannieres\": sorted(\n            (_agg(k, v) for k, v in deltas.items() if len(v) >= 30),\n            key=lambda x: -x[\"median_delta_pct\"]),\n    }\n    # qualité des données : complétude, quarantaine, anomalies (par connecteur)\n    from . import quality\n    con2 = db.connect()\n    try:\n        qualite = quality.summary(con2)\n    finally:\n        con2.close()\n    return {**dict(row), \"vraiprix\": vraiprix, \"qualite\": qualite,\n            \"recent_syncs\": log}\n\n\n# --- Module Stats commun Groupe KA (voir frontend/src/ka/stats/SPEC.md) ------\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n    period: str | None = Query(None),\n    from_: str | None = Query(None, alias=\"from\"),\n    to: str | None = Query(None),\n===STATS heads===\n60:def _today() -> date:\n64:def _iso(d: date) -> str:\n68:def _parse(d: str) -> date | None:\n75:def _epoch(d: date) -> float:\n80:def resolve_period(period: str | None, frm: str | None, to: str | None,\n101:def _fold(s: str) -> str:\n106:def _median(vals: list[float]) -> float | None:\n112:def _fmt_money(v: float) -> str:\n116:def _fmt_pct(cur: float, prev: float) -> float | None:\n122:def _daterange(a: date, b: date):\n129:def _source_names() -> dict[str, str]:\n152:def _famille_of(source: str, names: dict[str, str]) -> str:\n159:def _downsample(pts: list[dict], keep: int = 40) -> list[dict]:\n183:def _compute(frm_q: str | None, to_q: str | None, period: str | None) -> dict:\n191:def _compute_con(con, frm_q, to_q, period) -> dict:\n1019:def dashboard(period: str | None = None, frm: str | None = None,\n===STATSEXTRA===\n28:def _ro(name: str) -> sqlite3.Connection | None:\n37:def _money(v) -> str:\n41:def _q(vals: list[float], f: float) -> float:\n52:def _panel_rdl() -> dict | None:\n128:def _active_where(con: sqlite3.Connection) -> str:\n137:def _panel_population(con: sqlite3.Connection) -> dict | None:\n257:def _panel_gaz() -> dict | None:\n325:def panels(con: sqlite3.Connection) -> list[dict]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bb4ee8a7-9d9b-4965-8a9e-81fb76c45558","timestamp":"2026-08-25T00:19:48.036Z","tool_use_result":{"stdout":"    1034 immoka/stats.py\n     340 immoka/statsextra.py\n     398 frontend/src/pages/Stats.tsx\n    1772 total\n        out.append({\"franchise\": node[\"franchise\"], \"total\": node[\"total\"],\n                    \"sub_agencies\": len(ags), \"agencies\": ags})\n    out.sort(key=lambda x: -x[\"total\"])\n    return {\"franchises\": out}\n\n\n@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n    con = db.connect()\n    row = con.execute(\n        \"\"\"SELECT COUNT(*) total,\n                  COUNT(DISTINCT source) sources,\n                  COUNT(DISTINCT city) cities,\n                  AVG(price) avg_price,\n                  MIN(price) min_price,\n                  MAX(price) max_price\n           FROM listings WHERE active=1\"\"\" + DEDUP_CLAUSE).fetchone()\n    # Fenêtre de synchronisations pour la supervision (moniteur central api-ka) :\n    # sans paramètre, comportement historique (20 dernières entrées) ; avec\n    # ?syncs_since_h=<heures>, toutes les entrées de la fenêtre (borne 4000) —\n    # évite les fausses alertes « stale » quand 100+ sources synchronisent\n    # plus de 20 fois entre deux sondages.\n    log: list[dict] = []\n    if syncs_since_h is not None:\n        cutoff = time.time() - syncs_since_h * 3600\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log WHERE ts >= ?\"\n            \" ORDER BY ts DESC LIMIT 4000\", (cutoff,))]\n    if len(log) < 20:\n        log = [dict(r) for r in con.execute(\n            \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n\n    # --- écart prix demandé vs estimation Vrai-Prix, par bannière -----------\n    registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n    source_names = {s[\"id\"]: s[\"name\"] for s in registry}\n    deltas: dict[str, list[float]] = {}\n    for r in con.execute(\n            \"SELECT source, price,\"\n            \" CAST(json_extract(vraiprix, '$.value') AS REAL) vp\"\n            \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n            \" AND vraiprix LIKE '%estimation%'\"):\n        if not r[\"vp\"] or r[\"vp\"] <= 0:\n            continue\n        d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n        if -80.0 <= d <= 300.0:   # coupe les aberrations (terrains, données sales)\n            deltas.setdefault(_franchise_of(r[\"source\"], source_names), []).append(d)\n    con.close()\n\n    def _agg(name: str, ds: list[float]) -> dict:\n        ds = sorted(ds)\n        n = len(ds)\n        med = ds[n // 2] if n % 2 else (ds[n // 2 - 1] + ds[n // 2]) / 2\n        return {\n            \"banniere\": name, \"n\": n,\n            \"median_delta_pct\": round(med, 1),\n            \"p25\": round(ds[n // 4], 1), \"p75\": round(ds[(3 * n) // 4], 1),\n            \"pct_sur10\": round(100 * sum(1 for d in ds if d > 10) / n, 1),\n            \"pct_juste\": round(100 * sum(1 for d in ds if -5 <= d <= 10) / n, 1),\n            \"pct_sous5\": round(100 * sum(1 for d in ds if d < -5) / n, 1),\n        }\n\n    tous = [d for ds in deltas.values() for d in ds]\n    vraiprix = {\n        \"ensemble\": _agg(\"Toutes bannières\", tous) if tous else None,\n        \"bannieres\": sorted(\n            (_agg(k, v) for k, v in deltas.items() if len(v) >= 30),\n            key=lambda x: -x[\"median_delta_pct\"]),\n    }\n    # qualité des données : complétude, quarantaine, anomalies (par connecteur)\n    from . import quality\n    con2 = db.connect()\n    try:\n        qualite = quality.summary(con2)\n    finally:\n        con2.close()\n    return {**dict(row), \"vraiprix\": vraiprix, \"qualite\": qualite,\n            \"recent_syncs\": log}\n\n\n# --- Module Stats commun Groupe KA (voir frontend/src/ka/stats/SPEC.md) ------\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n    period: str | None = Query(None),\n    from_: str | None = Query(None, alias=\"from\"),\n    to: str | None = Query(None),\n===STATS heads===\n60:def _today() -> date:\n64:def _iso(d: date) -> str:\n68:def _parse(d: str) -> date | None:\n75:def _epoch(d: date) -> float:\n80:def resolve_period(period: str | None, frm: str | None, to: str | None,\n101:def _fold(s: str) -> str:\n106:def _median(vals: list[float]) -> float | None:\n112:def _fmt_money(v: float) -> str:\n116:def _fmt_pct(cur: float, prev: float) -> float | None:\n122:def _daterange(a: date, b: date):\n129:def _source_names() -> dict[str, str]:\n152:def _famille_of(source: str, names: dict[str, str]) -> str:\n159:def _downsample(pts: list[dict], keep: int = 40) -> list[dict]:\n183:def _compute(frm_q: str | None, to_q: str | None, period: str | None) -> dict:\n191:def _compute_con(con, frm_q, to_q, period) -> dict:\n1019:def dashboard(period: str | None = None, frm: str | None = None,\n===STATSEXTRA===\n28:def _ro(name: str) -> sqlite3.Connection | None:\n37:def _money(v) -> str:\n41:def _q(vals: list[float], f: float) -> float:\n52:def _panel_rdl() -> dict | None:\n128:def _active_where(con: sqlite3.Connection) -> str:\n137:def _panel_population(con: sqlite3.Connection) -> dict | None:\n257:def _panel_gaz() -> dict | None:\n325:def panels(con: sqlite3.Connection) -> list[dict]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"a428cc71-cab1-425f-81dd-c0079fce6086","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"0e3dff2d-78e2-4bf0-b3d5-7935961a8dd5","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":150,"uuid":"3e0f46da-f4ae-42d0-9b50-d0e2dd7dab17","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":150,"uuid":"ca0483f0-4d08-43c1-a2a6-e513821b217c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":50,"uuid":"4a1f4a7d-79c3-4853-9020-d5063d3859c2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":100,"uuid":"c7da45a0-79b2-4667-98c9-65b1c11ebf12","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":50,"uuid":"4489bc1b-eb75-4bb2-817c-3db91ae93570","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWTrxRJPkooGvx6SSoN","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5884,"cache_read_input_tokens":151464,"cache_creation":{"ephemeral_5m_input_tokens":5884,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"f147fc87-a511-461c-8491-4305d0fd9eff","request_id":"req_011CeNWTprAjMUsi1FuAiUuR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWTrxRJPkooGvx6SSoN","type":"message","role":"assistant","content":[{"type":"text","text":"Les deux apps ont déjà un pattern `statsextra.panels()` (panneaux additionnels : RDL, population, gaz). C'est le point d'extension parfait. Je lis le contrat des panneaux et leur rendu."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5884,"cache_read_input_tokens":151464,"cache_creation":{"ephemeral_5m_input_tokens":5884,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"4acda2b5-f54e-4131-9586-e52fa4e41683","request_id":"req_011CeNWTprAjMUsi1FuAiUuR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWTrxRJPkooGvx6SSoN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013vcRCiZKhDGzdH7ZJWKuCd","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"1,130p\" louka/statsextra.py && echo \"===CALLERS===\" && grep -rn \"statsextra\\|panels\" louka/statsdash.py louka/web.py | head && echo \"===STATS.TSX===\" && sed -n \"1,80p\" frontend/src/pages/Stats.tsx'","description":"Read lou-ka statsextra panel contract and Stats.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5884,"cache_read_input_tokens":151464,"cache_creation":{"ephemeral_5m_input_tokens":5884,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6c2f37c1-0a52-44fd-9ce5-dde04e43fe23","request_id":"req_011CeNWTprAjMUsi1FuAiUuR"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"1,130p\" louka/statsextra.py && echo \"===CALLERS===\" && grep -rn \"statsextra\\|panels\" louka/statsdash.py louka/web.py | head && echo \"===STATS.TSX===\" && sed -n \"1,80p\" frontend/src/pages/Stats.tsx'","description":"Read lou-ka statsextra panel contract and Stats.tsx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013vcRCiZKhDGzdH7ZJWKuCd","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsextra.py : panneaux « données du territoire » de l'onglet Statistiques\n#   Trois blocs indépendants du marché des annonces, calculés sur nos jeux de\n#   données ouverts et mis en cache :\n#     · Registre des loyers (loyers réellement déclarés, data/rdl.db) ;\n#     · Population & territoire (recensement des secteurs couverts,\n#       quartier.db.da_stats joint aux annonces par aire de diffusion) ;\n#     · Prix de l'essence (stations gazquebec.ca, data/gaz.db).\n#   Chaque panneau réutilise les rendus existants du kit stats (kpis, donut/\n#   barres, histogramme, tableau) — aucune donnée inventée : un bloc absent si\n#   sa source ne répond pas.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _money(v) -> str:\n    return f\"{round(v):,}\".replace(\",\", \" \") + \" $\" if v is not None else \"—\"\n\n\ndef _q(vals: list[float], f: float) -> float:\n    s = sorted(vals)\n    if not s:\n        return 0\n    i = f * (len(s) - 1)\n    lo = int(i)\n    hi = min(lo + 1, len(s) - 1)\n    return s[lo] + (s[hi] - s[lo]) * (i - lo)\n\n\n# --- Panneau 1 : Registre des loyers -----------------------------------------\ndef _panel_rdl() -> dict | None:\n    con = _ro(\"rdl.db\")\n    if con is None:\n        return None\n    try:\n        rows = con.execute(\n            \"SELECT price, rooms, year, city FROM rdl_housings \"\n            \"WHERE price > 100 AND price < 20000\").fetchall()\n    except sqlite3.Error:\n        con.close()\n        return None\n    con.close()\n    if len(rows) < 100:\n        return None\n    prices = [r[\"price\"] for r in rows]\n    recent = [r[\"price\"] for r in rows if (r[\"year\"] or 0) >= 2023]\n    villes = {r[\"city\"] for r in rows if r[\"city\"]}\n\n    kpis = [\n        {\"id\": \"rdl_n\", \"label\": \"Loyers déclarés\", \"value\": len(rows)},\n        {\"id\": \"rdl_med\", \"label\": \"Loyer médian déclaré\",\n         \"value\": round(median(prices)), \"unit\": \"$\"},\n        {\"id\": \"rdl_rec\", \"label\": \"Médiane depuis 2023\",\n         \"value\": round(median(recent)) if recent else None, \"unit\": \"$\"},\n        {\"id\": \"rdl_villes\", \"label\": \"Villes représentées\", \"value\": len(villes)},\n    ]\n\n    # médiane par nombre de chambres (barres)\n    byr: dict[int, list[float]] = {}\n    for r in rows:\n        if r[\"rooms\"] is not None and 0 <= r[\"rooms\"] <= 6:\n            byr.setdefault(r[\"rooms\"], []).append(r[\"price\"])\n    bars = [{\"label\": f\"{k} ch.\", \"value\": round(median(v))}\n            for k, v in sorted(byr.items()) if len(v) >= 10]\n\n    # histogramme des loyers déclarés (récents de préférence)\n    base = recent if len(recent) >= 500 else prices\n    lo, hi = round(_q(base, 0.02)), round(_q(base, 0.98))\n    step = max(50, round((hi - lo) / 14 / 50) * 50)\n    bins = []\n    x = lo\n    while x < hi:\n        n = sum(1 for p in base if x <= p < x + step)\n        bins.append({\"label\": f\"{x}\", \"value\": n})\n        x += step\n\n    # top villes par nombre de déclarations\n    vcount: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            vcount.setdefault(r[\"city\"], []).append(r[\"price\"])\n    top = sorted(vcount.items(), key=lambda kv: -len(kv[1]))[:15]\n    table = {\"id\": \"rdl_villes_t\",\n             \"title\": \"Loyers déclarés par ville (top 15)\",\n             \"columns\": [\"Ville\", \"Déclarations\", \"Loyer médian\"],\n             \"rows\": [[v, len(p), _money(median(p))] for v, p in top]}\n\n    return {\n        \"id\": \"registre_loyers\",\n        \"title\": \"Registre des loyers — loyers réellement payés\",\n        \"subtitle\": \"Loyers déclarés volontairement par des locataires au \"\n                    \"Registre des loyers (Vivre en ville). Données citoyennes, \"\n                    \"indicatives.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"rdl_rooms\", \"title\": \"Loyer médian déclaré par \"\n                        \"nombre de chambres\", \"kind\": \"bar\", \"items\": bars}]\n                      if bars else [],\n        \"distributions\": [{\"id\": \"rdl_hist\",\n                           \"title\": \"Distribution des loyers déclarés\"\n                           + (\" (depuis 2023)\" if base is recent else \"\"),\n                           \"unit\": \"$\", \"bins\": bins}] if len(bins) >= 4 else [],\n        \"tables\": [table],\n    }\n\n\n# --- Panneau 2 : Population & territoire --------------------------------------\ndef _active_where(con: sqlite3.Connection) -> str:\n    \"\"\"Filtre « annonces actives » adapté au schéma (lou-ka a dup_of, pas immo).\"\"\"\n    cols = {r[1] for r in con.execute(\"PRAGMA table_info(listings)\")}\n===CALLERS===\nlouka/statsdash.py:795:        from . import statsextra\nlouka/statsdash.py:796:        pnls = statsextra.panels(con)\nlouka/statsdash.py:798:            out[\"panels\"] = pnls\n===STATS.TSX===\n// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Stats.tsx : tableau de bord analytique — module Stats commun Groupe KA\n//   v2 (contrat ../ka/stats/SPEC.md, composants ../ka/stats/kacharts.tsx).\n//   KPI + sparklines + jauges + sélecteur de période + courbes (compare N-1,\n//   stats de séries) + multi-courbes + barres empilées + répartitions +\n//   distributions + géographie + calendrier & heatmap horaire + tableaux +\n//   records + export PDF (5 rapports).\n// -----------------------------------------------------------------------------\nimport { useCallback, useEffect, useState } from \"react\";\nimport {\n  BarChart, BreakItem, CalendarHeatmap, DataTable, Distribution, Donut,\n  EmptyBlock, Fraicheur, Gauge, GaugeCard, Histogram, HourCell, HourHeatmap,\n  Kpi, KpiCard, LineChart, MultiLineChart, MultiSerie, PdfButton,\n  PeriodSelector, RecordCard, RecordFact, Serie, StackedBarChart,\n  StackedSerie, StatSummary, TableSpec,\n} from \"../ka/stats/kacharts\";\n\ninterface Dashboard {\n  updated: string;\n  period: { from: string | null; to: string | null; label: string };\n  kpis: Kpi[];\n  gauges?: Gauge[];\n  series: Serie[];\n  multiseries?: MultiSerie[];\n  stacked?: StackedSerie[];\n  breakdowns: { id: string; title: string; kind?: string; items: BreakItem[] }[];\n  distributions?: Distribution[];\n  geo?: { title: string; items: BreakItem[] };\n  heatmap?: { title: string; cells: { date: string; value: number }[] };\n  hourly?: { title: string; cells: HourCell[] };\n  tables: TableSpec[];\n  records: RecordFact[];\n  panels?: Panel[];\n}\n\ninterface Panel {\n  id: string;\n  title: string;\n  subtitle?: string;\n  kpis?: Kpi[];\n  breakdowns?: { id: string; title: string; kind?: string; items: BreakItem[] }[];\n  distributions?: Distribution[];\n  tables?: TableSpec[];\n}\n\nexport default function StatsPage() {\n  const [period, setPeriod] = useState(\"30j\");\n  const [custom, setCustom] = useState<{ from: string; to: string }>({ from: \"\", to: \"\" });\n  const [dash, setDash] = useState<Dashboard | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [err, setErr] = useState<string | null>(null);\n\n  const customOk = Boolean(custom.from && custom.to);\n\n  const load = useCallback(() => {\n    setLoading(true);\n    setErr(null);\n    const p = new URLSearchParams({ period });\n    if (customOk) {\n      p.set(\"from\", custom.from);\n      p.set(\"to\", custom.to);\n    }\n    fetch(`/api/stats/dashboard?${p}`)\n      .then((r) => {\n        if (!r.ok) throw new Error(`API ${r.status}`);\n        return r.json();\n      })\n      .then((d: Dashboard) => setDash(d))\n      .catch((e) => setErr(String(e?.message ?? e)))\n      .finally(() => setLoading(false));\n  }, [period, custom.from, custom.to, customOk]);\n\n  useEffect(() => {\n    document.title = \"Statistiques du marché locatif — Lou·Ka\";\n    load();\n  }, [load]);\n\n  const donuts = dash?.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b5489d5c-1cd3-4428-897a-a3ee1d6b8e9c","timestamp":"2026-08-25T00:20:06.330Z","tool_use_result":{"stdout":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsextra.py : panneaux « données du territoire » de l'onglet Statistiques\n#   Trois blocs indépendants du marché des annonces, calculés sur nos jeux de\n#   données ouverts et mis en cache :\n#     · Registre des loyers (loyers réellement déclarés, data/rdl.db) ;\n#     · Population & territoire (recensement des secteurs couverts,\n#       quartier.db.da_stats joint aux annonces par aire de diffusion) ;\n#     · Prix de l'essence (stations gazquebec.ca, data/gaz.db).\n#   Chaque panneau réutilise les rendus existants du kit stats (kpis, donut/\n#   barres, histogramme, tableau) — aucune donnée inventée : un bloc absent si\n#   sa source ne répond pas.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _money(v) -> str:\n    return f\"{round(v):,}\".replace(\",\", \" \") + \" $\" if v is not None else \"—\"\n\n\ndef _q(vals: list[float], f: float) -> float:\n    s = sorted(vals)\n    if not s:\n        return 0\n    i = f * (len(s) - 1)\n    lo = int(i)\n    hi = min(lo + 1, len(s) - 1)\n    return s[lo] + (s[hi] - s[lo]) * (i - lo)\n\n\n# --- Panneau 1 : Registre des loyers -----------------------------------------\ndef _panel_rdl() -> dict | None:\n    con = _ro(\"rdl.db\")\n    if con is None:\n        return None\n    try:\n        rows = con.execute(\n            \"SELECT price, rooms, year, city FROM rdl_housings \"\n            \"WHERE price > 100 AND price < 20000\").fetchall()\n    except sqlite3.Error:\n        con.close()\n        return None\n    con.close()\n    if len(rows) < 100:\n        return None\n    prices = [r[\"price\"] for r in rows]\n    recent = [r[\"price\"] for r in rows if (r[\"year\"] or 0) >= 2023]\n    villes = {r[\"city\"] for r in rows if r[\"city\"]}\n\n    kpis = [\n        {\"id\": \"rdl_n\", \"label\": \"Loyers déclarés\", \"value\": len(rows)},\n        {\"id\": \"rdl_med\", \"label\": \"Loyer médian déclaré\",\n         \"value\": round(median(prices)), \"unit\": \"$\"},\n        {\"id\": \"rdl_rec\", \"label\": \"Médiane depuis 2023\",\n         \"value\": round(median(recent)) if recent else None, \"unit\": \"$\"},\n        {\"id\": \"rdl_villes\", \"label\": \"Villes représentées\", \"value\": len(villes)},\n    ]\n\n    # médiane par nombre de chambres (barres)\n    byr: dict[int, list[float]] = {}\n    for r in rows:\n        if r[\"rooms\"] is not None and 0 <= r[\"rooms\"] <= 6:\n            byr.setdefault(r[\"rooms\"], []).append(r[\"price\"])\n    bars = [{\"label\": f\"{k} ch.\", \"value\": round(median(v))}\n            for k, v in sorted(byr.items()) if len(v) >= 10]\n\n    # histogramme des loyers déclarés (récents de préférence)\n    base = recent if len(recent) >= 500 else prices\n    lo, hi = round(_q(base, 0.02)), round(_q(base, 0.98))\n    step = max(50, round((hi - lo) / 14 / 50) * 50)\n    bins = []\n    x = lo\n    while x < hi:\n        n = sum(1 for p in base if x <= p < x + step)\n        bins.append({\"label\": f\"{x}\", \"value\": n})\n        x += step\n\n    # top villes par nombre de déclarations\n    vcount: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            vcount.setdefault(r[\"city\"], []).append(r[\"price\"])\n    top = sorted(vcount.items(), key=lambda kv: -len(kv[1]))[:15]\n    table = {\"id\": \"rdl_villes_t\",\n             \"title\": \"Loyers déclarés par ville (top 15)\",\n             \"columns\": [\"Ville\", \"Déclarations\", \"Loyer médian\"],\n             \"rows\": [[v, len(p), _money(median(p))] for v, p in top]}\n\n    return {\n        \"id\": \"registre_loyers\",\n        \"title\": \"Registre des loyers — loyers réellement payés\",\n        \"subtitle\": \"Loyers déclarés volontairement par des locataires au \"\n                    \"Registre des loyers (Vivre en ville). Données citoyennes, \"\n                    \"indicatives.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"rdl_rooms\", \"title\": \"Loyer médian déclaré par \"\n                        \"nombre de chambres\", \"kind\": \"bar\", \"items\": bars}]\n                      if bars else [],\n        \"distributions\": [{\"id\": \"rdl_hist\",\n                           \"title\": \"Distribution des loyers déclarés\"\n                           + (\" (depuis 2023)\" if base is recent else \"\"),\n                           \"unit\": \"$\", \"bins\": bins}] if len(bins) >= 4 else [],\n        \"tables\": [table],\n    }\n\n\n# --- Panneau 2 : Population & territoire --------------------------------------\ndef _active_where(con: sqlite3.Connection) -> str:\n    \"\"\"Filtre « annonces actives » adapté au schéma (lou-ka a dup_of, pas immo).\"\"\"\n    cols = {r[1] for r in con.execute(\"PRAGMA table_info(listings)\")}\n===CALLERS===\nlouka/statsdash.py:795:        from . import statsextra\nlouka/statsdash.py:796:        pnls = statsextra.panels(con)\nlouka/statsdash.py:798:            out[\"panels\"] = pnls\n===STATS.TSX===\n// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Stats.tsx : tableau de bord analytique — module Stats commun Groupe KA\n//   v2 (contrat ../ka/stats/SPEC.md, composants ../ka/stats/kacharts.tsx).\n//   KPI + sparklines + jauges + sélecteur de période + courbes (compare N-1,\n//   stats de séries) + multi-courbes + barres empilées + répartitions +\n//   distributions + géographie + calendrier & heatmap horaire + tableaux +\n//   records + export PDF (5 rapports).\n// -----------------------------------------------------------------------------\nimport { useCallback, useEffect, useState } from \"react\";\nimport {\n  BarChart, BreakItem, CalendarHeatmap, DataTable, Distribution, Donut,\n  EmptyBlock, Fraicheur, Gauge, GaugeCard, Histogram, HourCell, HourHeatmap,\n  Kpi, KpiCard, LineChart, MultiLineChart, MultiSerie, PdfButton,\n  PeriodSelector, RecordCard, RecordFact, Serie, StackedBarChart,\n  StackedSerie, StatSummary, TableSpec,\n} from \"../ka/stats/kacharts\";\n\ninterface Dashboard {\n  updated: string;\n  period: { from: string | null; to: string | null; label: string };\n  kpis: Kpi[];\n  gauges?: Gauge[];\n  series: Serie[];\n  multiseries?: MultiSerie[];\n  stacked?: StackedSerie[];\n  breakdowns: { id: string; title: string; kind?: string; items: BreakItem[] }[];\n  distributions?: Distribution[];\n  geo?: { title: string; items: BreakItem[] };\n  heatmap?: { title: string; cells: { date: string; value: number }[] };\n  hourly?: { title: string; cells: HourCell[] };\n  tables: TableSpec[];\n  records: RecordFact[];\n  panels?: Panel[];\n}\n\ninterface Panel {\n  id: string;\n  title: string;\n  subtitle?: string;\n  kpis?: Kpi[];\n  breakdowns?: { id: string; title: string; kind?: string; items: BreakItem[] }[];\n  distributions?: Distribution[];\n  tables?: TableSpec[];\n}\n\nexport default function StatsPage() {\n  const [period, setPeriod] = useState(\"30j\");\n  const [custom, setCustom] = useState<{ from: string; to: string }>({ from: \"\", to: \"\" });\n  const [dash, setDash] = useState<Dashboard | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [err, setErr] = useState<string | null>(null);\n\n  const customOk = Boolean(custom.from && custom.to);\n\n  const load = useCallback(() => {\n    setLoading(true);\n    setErr(null);\n    const p = new URLSearchParams({ period });\n    if (customOk) {\n      p.set(\"from\", custom.from);\n      p.set(\"to\", custom.to);\n    }\n    fetch(`/api/stats/dashboard?${p}`)\n      .then((r) => {\n        if (!r.ok) throw new Error(`API ${r.status}`);\n        return r.json();\n      })\n      .then((d: Dashboard) => setDash(d))\n      .catch((e) => setErr(String(e?.message ?? e)))\n      .finally(() => setLoading(false));\n  }, [period, custom.from, custom.to, customOk]);\n\n  useEffect(() => {\n    document.title = \"Statistiques du marché locatif — Lou·Ka\";\n    load();\n  }, [load]);\n\n  const donuts = dash?.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWVCyxyYBmmPK2XtLQS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DEKB1MxFwk8QGRKzSuFXm5","name":"TaskCreate","input":{"subject":"Stats Lou-Ka : panneaux enrichissements de fiche (KA Scores, juste valeur, coût réel, historique, gestionnaires, TAL, CT, annuaire…)","description":"Étendre louka/statsextra.py avec des panneaux couvrant toutes les données de fiche + build/restart/commit","activeForm":"Panneaux stats Lou-Ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":4629,"cache_read_input_tokens":157348,"cache_creation":{"ephemeral_5m_input_tokens":4629,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"81627678-fe35-49a0-b0fd-eb5bc500f157","request_id":"req_011CeNWVB6MTnQcGY4oDDhLV"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DEKB1MxFwk8QGRKzSuFXm5","type":"tool_result","content":"Task #6 created successfully: Stats Lou-Ka : panneaux enrichissements de fiche (KA Scores, juste valeur, coût réel, historique, gestionnaires, TAL, CT, annuaire…)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1382f4d7-9845-40ff-ba95-f11bf27b98c7","timestamp":"2026-08-25T00:20:34.706Z","tool_use_result":{"task":{"id":"6","subject":"Stats Lou-Ka : panneaux enrichissements de fiche (KA Scores, juste valeur, coût réel, historique, gestionnaires, TAL, CT, annuaire…)"}}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NWEwPVvcAPRMngEtuoMKpP","type":"tool_result","content":"Task #7 created successfully: Stats Immo-Ka : panneaux enrichissements (Vrai-Prix, taux hypothécaires, environnement, annuaires…)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1074226f-7d98-4c62-aeec-5abef8df565c","timestamp":"2026-08-25T00:20:36.115Z","tool_use_result":{"task":{"id":"7","subject":"Stats Immo-Ka : panneaux enrichissements (Vrai-Prix, taux hypothécaires, environnement, annuaires…)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWVCyxyYBmmPK2XtLQS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RdKCUdvVzkH1fmCwwBYvDU","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3, json\ncon = sqlite3.connect(\"data/louka.db\"); con.row_factory = sqlite3.Row\nprint(\"TABLES:\", [r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\ncols = [r[1] for r in con.execute(\"PRAGMA table_info(listings)\")]\nprint(\"LISTINGS COLS:\", cols)\nEOF\nls data/*.db && sed -n \"788,801p\" louka/statsdash.py'","description":"Inventory lou-ka DB schema"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":346,"cache_creation_input_tokens":4629,"cache_read_input_tokens":157348,"cache_creation":{"ephemeral_5m_input_tokens":4629,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7de79cdc-b547-46e1-8267-d44cbe609bac","request_id":"req_011CeNWVB6MTnQcGY4oDDhLV"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3, json\ncon = sqlite3.connect(\"data/louka.db\"); con.row_factory = sqlite3.Row\nprint(\"TABLES:\", [r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\ncols = [r[1] for r in con.execute(\"PRAGMA table_info(listings)\")]\nprint(\"LISTINGS COLS:\", cols)\nEOF\nls data/*.db && sed -n \"788,801p\" louka/statsdash.py'","description":"Inventory lou-ka DB schema"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RdKCUdvVzkH1fmCwwBYvDU","type":"tool_result","content":"TABLES: ['listings', 'sync_log', 'sqlite_sequence', 'detail_cache', 'geocode_cache', 'poi_cache', 'price_log', 'users', 'favorites', 'source_profiles', 'sqlite_stat1', 'image_checks', 'sqlite_stat4', 'fairvalue', 'fv_segments', 'env_tiles', 'kascores', 'listing_events', 'buildings', 'recycled_cache', 'managers', 'manager_reviews']\nLISTINGS COLS: ['uid', 'source', 'external_id', 'url', 'title', 'address', 'sector', 'city', 'unit_type', 'price', 'price_label', 'availability', 'description', 'amenities', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'active', 'availability_date', 'area_sqft', 'pets', 'furnished', 'details', 'geocode_failed', 'miss_count', 'dauid', 'digest', 'dup_of', 'dup_sources', 'bedrooms', 'bathrooms', 'completeness', 'published', 'quality_reasons', 'images_ok', 'img_audit', 'coord_key', 'building_key']\ndata/air.db\ndata/commerces.db\ndata/gaz.db\ndata/hydro.db\ndata/inondation.db\ndata/louka.db\ndata/louka_ct.db\ndata/quartier.db\ndata/rdl.db\ndata/staging-contexte.db\ndata/staging-environnement.db\ndata/staging-recensement.db\ndata/tal.db\ndata/transit.db\n    if geo:\n        out[\"geo\"] = geo\n    if heatmap:\n        out[\"heatmap\"] = heatmap\n    if hourly:\n        out[\"hourly\"] = hourly\n    try:\n        from . import statsextra\n        pnls = statsextra.panels(con)\n        if pnls:\n            out[\"panels\"] = pnls\n    except Exception:\n        pass\n    return out","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"52e8eb62-ebe0-4898-9f04-fd2f8e7746cb","timestamp":"2026-08-25T00:20:38.568Z","tool_use_result":{"stdout":"TABLES: ['listings', 'sync_log', 'sqlite_sequence', 'detail_cache', 'geocode_cache', 'poi_cache', 'price_log', 'users', 'favorites', 'source_profiles', 'sqlite_stat1', 'image_checks', 'sqlite_stat4', 'fairvalue', 'fv_segments', 'env_tiles', 'kascores', 'listing_events', 'buildings', 'recycled_cache', 'managers', 'manager_reviews']\nLISTINGS COLS: ['uid', 'source', 'external_id', 'url', 'title', 'address', 'sector', 'city', 'unit_type', 'price', 'price_label', 'availability', 'description', 'amenities', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'active', 'availability_date', 'area_sqft', 'pets', 'furnished', 'details', 'geocode_failed', 'miss_count', 'dauid', 'digest', 'dup_of', 'dup_sources', 'bedrooms', 'bathrooms', 'completeness', 'published', 'quality_reasons', 'images_ok', 'img_audit', 'coord_key', 'building_key']\ndata/air.db\ndata/commerces.db\ndata/gaz.db\ndata/hydro.db\ndata/inondation.db\ndata/louka.db\ndata/louka_ct.db\ndata/quartier.db\ndata/rdl.db\ndata/staging-contexte.db\ndata/staging-environnement.db\ndata/staging-recensement.db\ndata/tal.db\ndata/transit.db\n    if geo:\n        out[\"geo\"] = geo\n    if heatmap:\n        out[\"heatmap\"] = heatmap\n    if hourly:\n        out[\"hourly\"] = hourly\n    try:\n        from . import statsextra\n        pnls = statsextra.panels(con)\n        if pnls:\n            out[\"panels\"] = pnls\n    except Exception:\n        pass\n    return out","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"94fb3ca4-a57e-43f2-b843-c1d8888789af","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWXaSMTNH1wZMcgnjRU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PmnENBDNv25oNZgquRM141","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ndef peek(path, tables=None):\n    try:\n        con = sqlite3.connect(f\"file:{path}?mode=ro\", uri=True)\n    except Exception as e:\n        print(path, \"ERR\", e); return\n    ts = [r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")]\n    print(path, ts)\n    for t in (tables or ts)[:6]:\n        try:\n            cols = [r[1] for r in con.execute(f\"PRAGMA table_info({t})\")]\n            n = con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n            print(\"  \", t, n, cols[:14])\n        except Exception as e:\n            print(\"  \", t, \"ERR\", e)\n    con.close()\nfor db in [\"data/tal.db\",\"data/hydro.db\",\"data/air.db\",\"data/inondation.db\",\"data/commerces.db\",\"data/louka_ct.db\"]:\n    peek(db)\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True)\nfor t in [\"kascores\",\"fairvalue\",\"price_log\",\"managers\",\"manager_reviews\",\"buildings\",\"listing_events\",\"recycled_cache\",\"image_checks\"]:\n    cols=[r[1] for r in con.execute(f\"PRAGMA table_info({t})\")]\n    n=con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n    print(\"main:\",t,n,cols[:16])\nEOF'","description":"Peek lou-ka side DBs and enrichment tables"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3474,"cache_read_input_tokens":161977,"cache_creation":{"ephemeral_5m_input_tokens":3474,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"56b8d5f9-b2bc-4094-9e61-a9e181e46607","request_id":"req_011CeNWXYvpVFsBy5qTDxamQ"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ndef peek(path, tables=None):\n    try:\n        con = sqlite3.connect(f\"file:{path}?mode=ro\", uri=True)\n    except Exception as e:\n        print(path, \"ERR\", e); return\n    ts = [r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")]\n    print(path, ts)\n    for t in (tables or ts)[:6]:\n        try:\n            cols = [r[1] for r in con.execute(f\"PRAGMA table_info({t})\")]\n            n = con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n            print(\"  \", t, n, cols[:14])\n        except Exception as e:\n            print(\"  \", t, \"ERR\", e)\n    con.close()\nfor db in [\"data/tal.db\",\"data/hydro.db\",\"data/air.db\",\"data/inondation.db\",\"data/commerces.db\",\"data/louka_ct.db\"]:\n    peek(db)\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True)\nfor t in [\"kascores\",\"fairvalue\",\"price_log\",\"managers\",\"manager_reviews\",\"buildings\",\"listing_events\",\"recycled_cache\",\"image_checks\"]:\n    cols=[r[1] for r in con.execute(f\"PRAGMA table_info({t})\")]\n    n=con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n    print(\"main:\",t,n,cols[:16])\nEOF'","description":"Peek lou-ka side DBs and enrichment tables"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PmnENBDNv25oNZgquRM141","type":"tool_result","content":"data/tal.db ['tal_lookup', 'tal_decisions']\n   tal_lookup 36 ['addr_key', 'civic', 'street', 'city', 'query', 'status', 'found', 'matched', 'priority', 'checked_at', 'error']\n   tal_decisions 13 ['addr_key', 'decision_id', 'citation', 'parties', 'date', 'demandeur', 'tags', 'verdict', 'url']\ndata/hydro.db ['hydro_cache']\n   hydro_cache 94 ['cle', 'adresse', 'cout_annuel', 'cout_mensuel', 'payload', 'fetched_at', 'uid', 'kwh']\ndata/air.db ['air_stats', 'meta']\n   air_stats 375 ['station', 'nom', 'ville', 'lat', 'lng', 'annee', 'polluant', 'moyenne', 'n']\n   meta 1 ['k', 'v']\ndata/inondation.db ['zi', 'zi_rtree_rowid', 'zi_rtree_node', 'zi_rtree_parent', 'couverture', 'couv_rtree_rowid', 'couv_rtree_node', 'couv_rtree_parent', 'zi_rtree', 'couv_rtree']\n   zi 24997 ['id', 'description', 'rapport', 'date_rapport', 'wkb']\n   zi_rtree_rowid 24997 ['rowid', 'nodeno']\n   zi_rtree_node 789 ['nodeno', 'data']\n   zi_rtree_parent 788 ['nodeno', 'parentnode']\n   couverture 1597 ['id', 'nom', 'wkb']\n   couv_rtree_rowid 1597 ['rowid', 'nodeno']\ndata/commerces.db ['commerces_cache']\n   commerces_cache 714 ['cellule', 'brand', 'nom', 'adresse', 'lat', 'lng', 'fetched_at']\ndata/louka_ct.db ['st_listings', 'st_sync_log', 'sqlite_sequence', 'st_detail_cache']\n   st_listings 46561 ['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds']\n   st_sync_log 26 ['id', 'source', 'ts', 'found', 'added', 'updated', 'removed', 'ok', 'message']\n   sqlite_sequence 1 ['name', 'seq']\n   st_detail_cache 24982 ['source', 'external_id', 'key', 'payload', 'fetched_at']\nmain: kascores 28438 ['coord_key', 'lat', 'lng', 'walk', 'transit', 'bike', 'calme', 'services', 'global', 'details', 'version', 'computed_at']\nmain: fairvalue 45709 ['uid', 'fv', 'fv_low', 'fv_high', 'deviation', 'verdict', 'confidence', 'method', 'comps', 'segment', 'model_version', 'computed_at']\nmain: price_log 96328 ['uid', 'ts', 'price']\nmain: managers 203 ['id', 'source_id', 'name', 'aliases', 'website', 'phone', 'gmaps_place_id', 'gmaps_data_id', 'gmaps_name', 'gmaps_address', 'gmaps_rating', 'gmaps_reviews', 'match_confidence', 'match_signals', 'resolved_at', 'resolve_failed']\nmain: manager_reviews 8 ['id', 'manager_id', 'external_review_id', 'source', 'rating', 'text', 'published_at', 'relative_date_raw', 'author_name', 'author_review_count', 'owner_response', 'owner_response_date', 'source_url', 'fetched_at', 'content_hash', 'analysis']\nmain: buildings 31874 ['bkey', 'address', 'city', 'lat', 'lng', 'stats', 'version', 'computed_at']\nmain: listing_events 2524 ['id', 'uid', 'ts', 'event', 'old', 'new']\nmain: recycled_cache 12 ['uid', 'matches', 'computed_at']\nmain: image_checks 690200 ['url', 'status', 'width', 'height', 'bytes', 'sha1', 'checked_at']","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"ae7095de-d7ff-434b-8cab-290ebe0ec213","timestamp":"2026-08-25T00:20:47.919Z","tool_use_result":{"stdout":"data/tal.db ['tal_lookup', 'tal_decisions']\n   tal_lookup 36 ['addr_key', 'civic', 'street', 'city', 'query', 'status', 'found', 'matched', 'priority', 'checked_at', 'error']\n   tal_decisions 13 ['addr_key', 'decision_id', 'citation', 'parties', 'date', 'demandeur', 'tags', 'verdict', 'url']\ndata/hydro.db ['hydro_cache']\n   hydro_cache 94 ['cle', 'adresse', 'cout_annuel', 'cout_mensuel', 'payload', 'fetched_at', 'uid', 'kwh']\ndata/air.db ['air_stats', 'meta']\n   air_stats 375 ['station', 'nom', 'ville', 'lat', 'lng', 'annee', 'polluant', 'moyenne', 'n']\n   meta 1 ['k', 'v']\ndata/inondation.db ['zi', 'zi_rtree_rowid', 'zi_rtree_node', 'zi_rtree_parent', 'couverture', 'couv_rtree_rowid', 'couv_rtree_node', 'couv_rtree_parent', 'zi_rtree', 'couv_rtree']\n   zi 24997 ['id', 'description', 'rapport', 'date_rapport', 'wkb']\n   zi_rtree_rowid 24997 ['rowid', 'nodeno']\n   zi_rtree_node 789 ['nodeno', 'data']\n   zi_rtree_parent 788 ['nodeno', 'parentnode']\n   couverture 1597 ['id', 'nom', 'wkb']\n   couv_rtree_rowid 1597 ['rowid', 'nodeno']\ndata/commerces.db ['commerces_cache']\n   commerces_cache 714 ['cellule', 'brand', 'nom', 'adresse', 'lat', 'lng', 'fetched_at']\ndata/louka_ct.db ['st_listings', 'st_sync_log', 'sqlite_sequence', 'st_detail_cache']\n   st_listings 46561 ['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds']\n   st_sync_log 26 ['id', 'source', 'ts', 'found', 'added', 'updated', 'removed', 'ok', 'message']\n   sqlite_sequence 1 ['name', 'seq']\n   st_detail_cache 24982 ['source', 'external_id', 'key', 'payload', 'fetched_at']\nmain: kascores 28438 ['coord_key', 'lat', 'lng', 'walk', 'transit', 'bike', 'calme', 'services', 'global', 'details', 'version', 'computed_at']\nmain: fairvalue 45709 ['uid', 'fv', 'fv_low', 'fv_high', 'deviation', 'verdict', 'confidence', 'method', 'comps', 'segment', 'model_version', 'computed_at']\nmain: price_log 96328 ['uid', 'ts', 'price']\nmain: managers 203 ['id', 'source_id', 'name', 'aliases', 'website', 'phone', 'gmaps_place_id', 'gmaps_data_id', 'gmaps_name', 'gmaps_address', 'gmaps_rating', 'gmaps_reviews', 'match_confidence', 'match_signals', 'resolved_at', 'resolve_failed']\nmain: manager_reviews 8 ['id', 'manager_id', 'external_review_id', 'source', 'rating', 'text', 'published_at', 'relative_date_raw', 'author_name', 'author_review_count', 'owner_response', 'owner_response_date', 'source_url', 'fetched_at', 'content_hash', 'analysis']\nmain: buildings 31874 ['bkey', 'address', 'city', 'lat', 'lng', 'stats', 'version', 'computed_at']\nmain: listing_events 2524 ['id', 'uid', 'ts', 'event', 'old', 'new']\nmain: recycled_cache 12 ['uid', 'matches', 'computed_at']\nmain: image_checks 690200 ['url', 'status', 'width', 'height', 'bytes', 'sha1', 'checked_at']","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d590f44a-86d9-4b3a-9366-52eb6f94b402","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"03b31977-bb4e-4b84-86c5-d07975e8914c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":77,"estimated_tokens_delta":27,"uuid":"f99d7c64-cf76-49e2-8947-68900f15e078","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWYGmWABnbjRsMu6otf","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISqwIKpwEIERgCKkBw7RjOL/4/U9F2VUuhwFNsyEC3iKL2tqsXjVxlJGmVyh+8yMnqyb6wFs+OneUx+5DI49d1LMTroAQDHWLYx46RMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHmv7PUBrABAhIML2e4TyVTFHxrUBjnGgxjs57a5qDyRvGvUXoiMG3xdfpSEMaGs2usIWUtFANvqpc6yr7U7oR6/fiSfCYKqgWI88LtJ1Ddjs0Ondqm5CoxTD4XOYV02rY1cIYOlRo+c+oYKFZqZsdNVfeEaq/Ps4HYtMeIUqnGijTKdtWNJzyzCRgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2127,"cache_read_input_tokens":165451,"cache_creation":{"ephemeral_5m_input_tokens":2127,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"06b33bc7-01fe-455f-93d4-7eb83d74a610","request_id":"req_011CeNWYEu8sQfoAGbS8yJpR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWYGmWABnbjRsMu6otf","type":"message","role":"assistant","content":[{"type":"text","text":"Inventaire Lou-Ka riche (kascores 28k, fairvalue 45k, price_log 96k, buildings 31k, CT 46k…). Même chose pour Immo-Ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2127,"cache_read_input_tokens":165451,"cache_creation":{"ephemeral_5m_input_tokens":2127,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"9c064d53-68c5-45c1-9f45-c7d4b824eae0","request_id":"req_011CeNWYEu8sQfoAGbS8yJpR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWYGmWABnbjRsMu6otf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013dLWuySmXwPf9ExhvGXqoV","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls data/*.db && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/immoka.db?mode=ro\", uri=True)\nts=[r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")]\nprint(\"TABLES:\", ts)\ncols=[r[1] for r in con.execute(\"PRAGMA table_info(listings)\")]\nprint(\"LISTINGS COLS:\", cols)\nfor t in ts:\n    if t in (\"listings\",\"sync_log\",\"detail_cache\",\"geocode_cache\",\"sqlite_stat1\",\"sqlite_stat4\",\"sqlite_sequence\"): continue\n    try:\n        n=con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n        print(\" \",t,n,[r[1] for r in con.execute(f\"PRAGMA table_info({t})\")][:14])\n    except Exception as e: print(\" \",t,\"ERR\",e)\ncon.close()\nm = sqlite3.connect(\"file:data/mortgage.db?mode=ro\", uri=True)\nprint(\"MORTGAGE:\", [r[0] for r in m.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\nfor t in [r[0] for r in m.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")][:4]:\n    print(\" \",t, m.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0], [r[1] for r in m.execute(f\"PRAGMA table_info({t})\")][:14])\nEOF\ngrep -n \"statsextra\\|panels\" immoka/stats.py | head'","description":"Inventory immo-ka DB schema"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2127,"cache_read_input_tokens":165451,"cache_creation":{"ephemeral_5m_input_tokens":2127,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b1b7f8b5-6894-43c1-9f1b-11ea301cefbc","request_id":"req_011CeNWYEu8sQfoAGbS8yJpR"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls data/*.db && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/immoka.db?mode=ro\", uri=True)\nts=[r[0] for r in con.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")]\nprint(\"TABLES:\", ts)\ncols=[r[1] for r in con.execute(\"PRAGMA table_info(listings)\")]\nprint(\"LISTINGS COLS:\", cols)\nfor t in ts:\n    if t in (\"listings\",\"sync_log\",\"detail_cache\",\"geocode_cache\",\"sqlite_stat1\",\"sqlite_stat4\",\"sqlite_sequence\"): continue\n    try:\n        n=con.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0]\n        print(\" \",t,n,[r[1] for r in con.execute(f\"PRAGMA table_info({t})\")][:14])\n    except Exception as e: print(\" \",t,\"ERR\",e)\ncon.close()\nm = sqlite3.connect(\"file:data/mortgage.db?mode=ro\", uri=True)\nprint(\"MORTGAGE:\", [r[0] for r in m.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\nfor t in [r[0] for r in m.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")][:4]:\n    print(\" \",t, m.execute(f\"SELECT COUNT(*) FROM {t}\").fetchone()[0], [r[1] for r in m.execute(f\"PRAGMA table_info({t})\")][:14])\nEOF\ngrep -n \"statsextra\\|panels\" immoka/stats.py | head'","description":"Inventory immo-ka DB schema"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013dLWuySmXwPf9ExhvGXqoV","type":"tool_result","content":"data/air.db\ndata/commerces.db\ndata/gaz.db\ndata/hydro.db\ndata/immoka.db\ndata/inondation.db\ndata/mortgage.db\ndata/quartier.db\ndata/rdl.db\ndata/transit.db\ndata/vraiprix.db\nTABLES: ['listings', 'sync_log', 'sqlite_sequence', 'detail_cache', 'price_log', 'geocode_cache', 'poi_cache', 'users', 'sqlite_stat1', 'sqlite_stat4', 'image_audit']\nLISTINGS COLS: ['uid', 'source', 'external_id', 'url', 'title', 'address', 'sector', 'city', 'region', 'property_type', 'price', 'price_label', 'bedrooms', 'bathrooms', 'powder_rooms', 'area_sqft', 'lot_sqft', 'year_built', 'mls', 'status', 'broker_name', 'broker_phone', 'description', 'features', 'details', 'images', 'lat', 'lng', 'geocode_failed', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active', 'agency', 'dup_hidden', 'dauid', 'vraiprix', 'quality_score', 'quality_issues', 'published']\n  price_log 115247 ['uid', 'ts', 'price']\n  poi_cache 0 ['coord_key', 'lat', 'lng', 'pois', 'ts']\n  users 2 ['sub', 'email', 'name', 'picture', 'created', 'last_login']\n  image_audit 282289 ['url', 'ok', 'status', 'width', 'height', 'bytes', 'reason', 'checked_at']\nMORTGAGE: ['rate_observations', 'sqlite_sequence', 'provider_runs', 'rate_alerts']\n  rate_observations 220 ['id', 'provider', 'institution', 'product_key', 'product_name', 'rate_type', 'term_months', 'kind', 'rate', 'apr', 'insured_status', 'purpose', 'amortization_max_years', 'conditions']\n  sqlite_sequence 2 ['name', 'seq']\n  provider_runs 13 ['id', 'provider', 'ts', 'ok', 'status', 'products', 'changed', 'rejected', 'duration_ms', 'message']\n  rate_alerts 0 ['id', 'created', 'kind', 'params', 'threshold', 'contact', 'active', 'fired_at']\n1010:        from . import statsextra\n1011:        pnls = statsextra.panels(con)\n1013:            out[\"panels\"] = pnls","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bdcf64b2-f432-47b8-a699-fe2c7154bd9e","timestamp":"2026-08-25T00:21:00.553Z","tool_use_result":{"stdout":"data/air.db\ndata/commerces.db\ndata/gaz.db\ndata/hydro.db\ndata/immoka.db\ndata/inondation.db\ndata/mortgage.db\ndata/quartier.db\ndata/rdl.db\ndata/transit.db\ndata/vraiprix.db\nTABLES: ['listings', 'sync_log', 'sqlite_sequence', 'detail_cache', 'price_log', 'geocode_cache', 'poi_cache', 'users', 'sqlite_stat1', 'sqlite_stat4', 'image_audit']\nLISTINGS COLS: ['uid', 'source', 'external_id', 'url', 'title', 'address', 'sector', 'city', 'region', 'property_type', 'price', 'price_label', 'bedrooms', 'bathrooms', 'powder_rooms', 'area_sqft', 'lot_sqft', 'year_built', 'mls', 'status', 'broker_name', 'broker_phone', 'description', 'features', 'details', 'images', 'lat', 'lng', 'geocode_failed', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active', 'agency', 'dup_hidden', 'dauid', 'vraiprix', 'quality_score', 'quality_issues', 'published']\n  price_log 115247 ['uid', 'ts', 'price']\n  poi_cache 0 ['coord_key', 'lat', 'lng', 'pois', 'ts']\n  users 2 ['sub', 'email', 'name', 'picture', 'created', 'last_login']\n  image_audit 282289 ['url', 'ok', 'status', 'width', 'height', 'bytes', 'reason', 'checked_at']\nMORTGAGE: ['rate_observations', 'sqlite_sequence', 'provider_runs', 'rate_alerts']\n  rate_observations 220 ['id', 'provider', 'institution', 'product_key', 'product_name', 'rate_type', 'term_months', 'kind', 'rate', 'apr', 'insured_status', 'purpose', 'amortization_max_years', 'conditions']\n  sqlite_sequence 2 ['name', 'seq']\n  provider_runs 13 ['id', 'provider', 'ts', 'ok', 'status', 'products', 'changed', 'rejected', 'duration_ms', 'message']\n  rate_alerts 0 ['id', 'created', 'kind', 'params', 'threshold', 'contact', 'active', 'fired_at']\n1010:        from . import statsextra\n1011:        pnls = statsextra.panels(con)\n1013:            out[\"panels\"] = pnls","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"180e215f-0b97-4539-a5d9-2e6160b2c81d","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4967ac12-b739-4def-b8dc-c9a823e478dd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"39df545e-dd62-4cd5-9205-a622c455a5dc","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"3568c9fe-5e8c-43a0-b43e-6605dbfb09a3","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"40745b04-e1c9-4739-aced-5129d681cf0c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"c63c4eb0-e3f0-49c3-9b7b-b91b28b0fd44","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":150,"uuid":"1ca2f91c-1fdb-41ac-83d4-dabe6fd8e79a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":150,"uuid":"a1abf642-d1af-4add-a2ad-f289b3a8b519","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"9a4d37bf-8c9a-44ef-b763-c5682acb908e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"43aa794c-341a-4085-a65b-ae0f373df8fb","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":150,"uuid":"8906444e-5ad2-45fc-a6ad-2647ad3f7d3e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":100,"uuid":"6bc36fe9-247d-4e19-a7ac-20f40d8e5cf5","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1200,"estimated_tokens_delta":50,"uuid":"34663479-2fb5-420e-a7a1-a9df583f281a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":150,"uuid":"f2a60a4c-908b-43fc-be26-d8a140c308b0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"80913e44-6e6c-42ab-8634-c75e3f311f49","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1550,"estimated_tokens_delta":100,"uuid":"6a53e8ec-897b-4a8e-89d8-be6966af2771","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1650,"estimated_tokens_delta":100,"uuid":"a28008a6-a075-4948-89fc-2885de454eee","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1800,"estimated_tokens_delta":150,"uuid":"73ef733a-31f3-45e2-a400-5e3ddb9ef467","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1950,"estimated_tokens_delta":150,"uuid":"ed7b692f-6f05-4314-9e19-8a559428d0dd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2050,"estimated_tokens_delta":100,"uuid":"ff6221b5-ec2b-4ff4-995b-faf7e836503c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2150,"estimated_tokens_delta":100,"uuid":"a0e9087e-14a9-45bb-acd6-9200f3acff2e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2250,"estimated_tokens_delta":100,"uuid":"6976723c-04a4-4588-9517-fac984f12d89","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2300,"estimated_tokens_delta":50,"uuid":"6350b835-adf3-4da0-92d2-d65a293383c1","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2400,"estimated_tokens_delta":100,"uuid":"b388af1e-b08c-485b-8b0f-d4207cf6141f","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2500,"estimated_tokens_delta":100,"uuid":"fec0436e-c27c-41ef-b089-8d02172aa29e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2600,"estimated_tokens_delta":100,"uuid":"e80e57e8-179d-4cf7-8f62-d89396f569c0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWZDudwurKc7D5S5tjH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01REwpnVpZBB4yTxcRfxz2ui","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"80,223p\" frontend/src/pages/Stats.tsx && echo \"===PANELS()===\" && sed -n \"300,340p\" louka/statsextra.py'","description":"Read Stats.tsx panel rendering and panels() function"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1669,"cache_read_input_tokens":167578,"cache_creation":{"ephemeral_5m_input_tokens":1669,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c426bd0e-9719-4311-9573-f9006b8fc80e","request_id":"req_011CeNWZAuZL8W6dUSdYMcyC"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"80,223p\" frontend/src/pages/Stats.tsx && echo \"===PANELS()===\" && sed -n \"300,340p\" louka/statsextra.py'","description":"Read Stats.tsx panel rendering and panels() function"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01REwpnVpZBB4yTxcRfxz2ui","type":"tool_result","content":"  const donuts = dash?.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];\n  const barBreaks = dash?.breakdowns?.filter((b) => b.kind !== \"donut\") ?? [];\n\n  return (\n    <div className=\"container\" style={{ display: \"grid\", gap: 18, paddingBottom: 40 }}>\n      {/* --- en-tête : titre + PDF (5 rapports) + fraîcheur ------------------ */}\n      <header style={{ display: \"flex\", flexWrap: \"wrap\", gap: 14, alignItems: \"flex-end\", justifyContent: \"space-between\", marginTop: 8 }}>\n        <div style={{ minWidth: 0 }}>\n          <p className=\"klabel\" style={{ margin: 0 }}>Groupe KA · Lou·Ka</p>\n          <h1 style={{ margin: \"4px 0 0\", fontFamily: \"var(--font-display)\", fontSize: \"clamp(24px,3.4vw,34px)\", letterSpacing: \"-0.02em\" }}>\n            Statistiques du marché locatif\n          </h1>\n          {dash && (\n            <p className=\"klabel\" style={{ margin: \"6px 0 0\" }}>\n              Période : {dash.period.label}\n              {dash.period.from ? ` (${dash.period.from} → ${dash.period.to})` : \"\"}\n            </p>\n          )}\n        </div>\n        <div style={{ display: \"grid\", gap: 8, justifyItems: \"end\" }}>\n          <PdfButton period={period} from={customOk ? custom.from : undefined} to={customOk ? custom.to : undefined} />\n          {dash && <Fraicheur updated={dash.updated} onRefresh={load} />}\n        </div>\n      </header>\n\n      {err && (\n        <div className=\"card\" style={{ padding: 18, borderColor: \"var(--danger)\" }}>\n          <b>Impossible de charger les statistiques.</b>\n          <p className=\"klabel\" style={{ margin: \"6px 0 10px\" }}>{err}</p>\n          <button type=\"button\" className=\"btn btn-primary\" onClick={load}>Réessayer</button>\n        </div>\n      )}\n\n      {/* --- bandeau KPI (sparklines) ---------------------------------------- */}\n      {dash && dash.kpis.length > 0 && (\n        <section aria-label=\"Indicateurs clés\" style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(170px, 1fr))\", opacity: loading ? 0.55 : 1, transition: \"opacity .2s\" }}>\n          {dash.kpis.map((k) => <KpiCard key={k.id} k={k} />)}\n        </section>\n      )}\n      {!dash && loading && (\n        <div className=\"card\" style={{ padding: 24, textAlign: \"center\" }}>\n          <span className=\"klabel\">Chargement des statistiques…</span>\n        </div>\n      )}\n\n      {/* --- sélecteur de période -------------------------------------------- */}\n      <section className=\"card\" style={{ padding: \"14px 16px\" }} aria-label=\"Période\">\n        <PeriodSelector\n          value={period}\n          onChange={(p) => { setPeriod(p); setCustom({ from: \"\", to: \"\" }); }}\n          custom={custom}\n          onCustom={(from, to) => setCustom({ from, to })}\n        />\n      </section>\n\n      {dash && (\n        <div style={{ display: \"grid\", gap: 18, opacity: loading ? 0.55 : 1, transition: \"opacity .2s\" }}>\n          {/* --- jauges : couverture & complétude ----------------------------- */}\n          {dash.gauges && dash.gauges.length > 0 && (\n            <section aria-label=\"Jauges\" style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(min(190px, 100%), 1fr))\" }}>\n              {dash.gauges.map((g) => <GaugeCard key={g.id} g={g} />)}\n            </section>\n          )}\n\n          {/* --- évolution : courbes / barres + stats de séries --------------- */}\n          {dash.series?.length ? (\n            dash.series.map((s) => (\n              <div key={s.id} style={{ display: \"grid\", gap: 0 }}>\n                <LineChart serie={s} />\n                {s.kind !== \"bar\" && <StatSummary serie={s} />}\n              </div>\n            ))\n          ) : (\n            <EmptyBlock title=\"Évolution quotidienne\" />\n          )}\n\n          {/* --- multi-courbes (loyer médian par taille…) ---------------------- */}\n          {dash.multiseries?.map((ms) => <MultiLineChart key={ms.id} ms={ms} />)}\n\n          {/* --- barres empilées (composition par source) ---------------------- */}\n          {dash.stacked?.map((st) => <StackedBarChart key={st.id} st={st} />)}\n\n          {/* --- répartitions (anneaux + barres) ------------------------------ */}\n          {(donuts.length > 0 || barBreaks.length > 0) && (\n            <div style={{ display: \"grid\", gap: 18, gridTemplateColumns: \"repeat(auto-fit, minmax(min(340px, 100%), 1fr))\" }}>\n              {donuts.map((b) => <Donut key={b.id} title={b.title} items={b.items} />)}\n              {barBreaks.map((b) => <BarChart key={b.id} title={b.title} items={b.items} unit=\"annonces\" />)}\n            </div>\n          )}\n\n          {/* --- distributions (histogrammes) ---------------------------------- */}\n          {dash.distributions?.map((d) => <Histogram key={d.id} dist={d} />)}\n\n          {/* --- géographie --------------------------------------------------- */}\n          {dash.geo && <BarChart title={dash.geo.title} items={dash.geo.items} unit=\"annonces\" />}\n\n          {/* --- calendriers : 26 semaines + heatmap horaire 7×24 -------------- */}\n          {dash.heatmap && <CalendarHeatmap title={dash.heatmap.title} cells={dash.heatmap.cells} />}\n          {dash.hourly && <HourHeatmap title={dash.hourly.title} cells={dash.hourly.cells} />}\n\n          {/* --- tableaux détaillés ------------------------------------------- */}\n          {dash.tables?.map((t) => <DataTable key={t.id} spec={t} />)}\n\n          {/* --- panneaux « données du territoire » --------------------------- */}\n          {dash.panels?.map((p) => {\n            const pDonuts = p.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];\n            const pBars = p.breakdowns?.filter((b) => b.kind !== \"donut\") ?? [];\n            return (\n              <section key={p.id} aria-label={p.title} style={{ display: \"grid\", gap: 12, marginTop: 6 }}>\n                <div>\n                  <h2 style={{ margin: 0, fontFamily: \"var(--font-display)\", fontSize: 20 }}>{p.title}</h2>\n                  {p.subtitle && <p className=\"klabel\" style={{ margin: \"4px 0 0\" }}>{p.subtitle}</p>}\n                </div>\n                {p.kpis && p.kpis.length > 0 && (\n                  <div style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(170px, 1fr))\" }}>\n                    {p.kpis.map((k) => <KpiCard key={k.id} k={k} />)}\n                  </div>\n                )}\n                {(pDonuts.length > 0 || pBars.length > 0 || (p.distributions?.length ?? 0) > 0) && (\n                  <div style={{ display: \"grid\", gap: 18, gridTemplateColumns: \"repeat(auto-fit, minmax(min(340px, 100%), 1fr))\" }}>\n                    {pDonuts.map((b) => <Donut key={b.id} title={b.title} items={b.items} />)}\n                    {pBars.map((b) => <BarChart key={b.id} title={b.title} items={b.items} />)}\n                    {p.distributions?.map((d) => <Histogram key={d.id} dist={d} />)}\n                  </div>\n                )}\n                {p.tables?.map((tb) => <DataTable key={tb.id} spec={tb} />)}\n              </section>\n            );\n          })}\n\n          {/* --- records & faits marquants ------------------------------------ */}\n          {dash.records?.length > 0 && (\n            <section aria-label=\"Records et faits marquants\" style={{ display: \"grid\", gap: 10 }}>\n              <h2 style={{ margin: 0, fontFamily: \"var(--font-display)\", fontSize: 19 }}>Records & faits marquants</h2>\n              <div style={{ display: \"grid\", gap: 10, gridTemplateColumns: \"repeat(auto-fit, minmax(min(280px, 100%), 1fr))\" }}>\n                {dash.records.map((r) => <RecordCard key={r.label} r={r} />)}\n              </div>\n            </section>\n          )}\n        </div>\n      )}\n    </div>\n  );\n}\n===PANELS()===\n        ([{\"label\": k, \"value\": round(median(v), 1)}\n          for k, v in byreg.items() if len(v) >= 5]),\n        key=lambda x: x[\"value\"])\n    # tableau régions\n    treg = sorted(([k, len(v), round(median(v), 1)]\n                   for k, v in byreg.items() if len(v) >= 5),\n                  key=lambda x: x[2])\n    table = {\"id\": \"gaz_regions\",\n             \"title\": \"Prix de l'essence régulière par région\",\n             \"columns\": [\"Région\", \"Stations\", \"Régulier médian (¢/L)\"],\n             \"rows\": [[r[0], r[1], f\"{r[2]:.1f}\"] for r in treg]}\n\n    return {\n        \"id\": \"essence\",\n        \"title\": \"Prix de l'essence au Québec\",\n        \"subtitle\": \"Prix courants des stations-service (gazquebec.ca), toutes \"\n                    \"régions confondues.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"gaz_reg_bar\",\n                        \"title\": \"Essence régulière — médiane par région (¢/L)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"tables\": [table],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Retourne les panneaux « territoire » (cache 30 min). `con` = base des\n    annonces (pour la jointure recensement via l'aire de diffusion).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (_panel_rdl, lambda: _panel_population(con), _panel_gaz):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a4a6eb34-1317-4dd9-a2fd-67492e6ddd10","timestamp":"2026-08-25T00:21:43.942Z","tool_use_result":{"stdout":"  const donuts = dash?.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];\n  const barBreaks = dash?.breakdowns?.filter((b) => b.kind !== \"donut\") ?? [];\n\n  return (\n    <div className=\"container\" style={{ display: \"grid\", gap: 18, paddingBottom: 40 }}>\n      {/* --- en-tête : titre + PDF (5 rapports) + fraîcheur ------------------ */}\n      <header style={{ display: \"flex\", flexWrap: \"wrap\", gap: 14, alignItems: \"flex-end\", justifyContent: \"space-between\", marginTop: 8 }}>\n        <div style={{ minWidth: 0 }}>\n          <p className=\"klabel\" style={{ margin: 0 }}>Groupe KA · Lou·Ka</p>\n          <h1 style={{ margin: \"4px 0 0\", fontFamily: \"var(--font-display)\", fontSize: \"clamp(24px,3.4vw,34px)\", letterSpacing: \"-0.02em\" }}>\n            Statistiques du marché locatif\n          </h1>\n          {dash && (\n            <p className=\"klabel\" style={{ margin: \"6px 0 0\" }}>\n              Période : {dash.period.label}\n              {dash.period.from ? ` (${dash.period.from} → ${dash.period.to})` : \"\"}\n            </p>\n          )}\n        </div>\n        <div style={{ display: \"grid\", gap: 8, justifyItems: \"end\" }}>\n          <PdfButton period={period} from={customOk ? custom.from : undefined} to={customOk ? custom.to : undefined} />\n          {dash && <Fraicheur updated={dash.updated} onRefresh={load} />}\n        </div>\n      </header>\n\n      {err && (\n        <div className=\"card\" style={{ padding: 18, borderColor: \"var(--danger)\" }}>\n          <b>Impossible de charger les statistiques.</b>\n          <p className=\"klabel\" style={{ margin: \"6px 0 10px\" }}>{err}</p>\n          <button type=\"button\" className=\"btn btn-primary\" onClick={load}>Réessayer</button>\n        </div>\n      )}\n\n      {/* --- bandeau KPI (sparklines) ---------------------------------------- */}\n      {dash && dash.kpis.length > 0 && (\n        <section aria-label=\"Indicateurs clés\" style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(170px, 1fr))\", opacity: loading ? 0.55 : 1, transition: \"opacity .2s\" }}>\n          {dash.kpis.map((k) => <KpiCard key={k.id} k={k} />)}\n        </section>\n      )}\n      {!dash && loading && (\n        <div className=\"card\" style={{ padding: 24, textAlign: \"center\" }}>\n          <span className=\"klabel\">Chargement des statistiques…</span>\n        </div>\n      )}\n\n      {/* --- sélecteur de période -------------------------------------------- */}\n      <section className=\"card\" style={{ padding: \"14px 16px\" }} aria-label=\"Période\">\n        <PeriodSelector\n          value={period}\n          onChange={(p) => { setPeriod(p); setCustom({ from: \"\", to: \"\" }); }}\n          custom={custom}\n          onCustom={(from, to) => setCustom({ from, to })}\n        />\n      </section>\n\n      {dash && (\n        <div style={{ display: \"grid\", gap: 18, opacity: loading ? 0.55 : 1, transition: \"opacity .2s\" }}>\n          {/* --- jauges : couverture & complétude ----------------------------- */}\n          {dash.gauges && dash.gauges.length > 0 && (\n            <section aria-label=\"Jauges\" style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(min(190px, 100%), 1fr))\" }}>\n              {dash.gauges.map((g) => <GaugeCard key={g.id} g={g} />)}\n            </section>\n          )}\n\n          {/* --- évolution : courbes / barres + stats de séries --------------- */}\n          {dash.series?.length ? (\n            dash.series.map((s) => (\n              <div key={s.id} style={{ display: \"grid\", gap: 0 }}>\n                <LineChart serie={s} />\n                {s.kind !== \"bar\" && <StatSummary serie={s} />}\n              </div>\n            ))\n          ) : (\n            <EmptyBlock title=\"Évolution quotidienne\" />\n          )}\n\n          {/* --- multi-courbes (loyer médian par taille…) ---------------------- */}\n          {dash.multiseries?.map((ms) => <MultiLineChart key={ms.id} ms={ms} />)}\n\n          {/* --- barres empilées (composition par source) ---------------------- */}\n          {dash.stacked?.map((st) => <StackedBarChart key={st.id} st={st} />)}\n\n          {/* --- répartitions (anneaux + barres) ------------------------------ */}\n          {(donuts.length > 0 || barBreaks.length > 0) && (\n            <div style={{ display: \"grid\", gap: 18, gridTemplateColumns: \"repeat(auto-fit, minmax(min(340px, 100%), 1fr))\" }}>\n              {donuts.map((b) => <Donut key={b.id} title={b.title} items={b.items} />)}\n              {barBreaks.map((b) => <BarChart key={b.id} title={b.title} items={b.items} unit=\"annonces\" />)}\n            </div>\n          )}\n\n          {/* --- distributions (histogrammes) ---------------------------------- */}\n          {dash.distributions?.map((d) => <Histogram key={d.id} dist={d} />)}\n\n          {/* --- géographie --------------------------------------------------- */}\n          {dash.geo && <BarChart title={dash.geo.title} items={dash.geo.items} unit=\"annonces\" />}\n\n          {/* --- calendriers : 26 semaines + heatmap horaire 7×24 -------------- */}\n          {dash.heatmap && <CalendarHeatmap title={dash.heatmap.title} cells={dash.heatmap.cells} />}\n          {dash.hourly && <HourHeatmap title={dash.hourly.title} cells={dash.hourly.cells} />}\n\n          {/* --- tableaux détaillés ------------------------------------------- */}\n          {dash.tables?.map((t) => <DataTable key={t.id} spec={t} />)}\n\n          {/* --- panneaux « données du territoire » --------------------------- */}\n          {dash.panels?.map((p) => {\n            const pDonuts = p.breakdowns?.filter((b) => b.kind === \"donut\") ?? [];\n            const pBars = p.breakdowns?.filter((b) => b.kind !== \"donut\") ?? [];\n            return (\n              <section key={p.id} aria-label={p.title} style={{ display: \"grid\", gap: 12, marginTop: 6 }}>\n                <div>\n                  <h2 style={{ margin: 0, fontFamily: \"var(--font-display)\", fontSize: 20 }}>{p.title}</h2>\n                  {p.subtitle && <p className=\"klabel\" style={{ margin: \"4px 0 0\" }}>{p.subtitle}</p>}\n                </div>\n                {p.kpis && p.kpis.length > 0 && (\n                  <div style={{ display: \"grid\", gap: 12, gridTemplateColumns: \"repeat(auto-fit, minmax(170px, 1fr))\" }}>\n                    {p.kpis.map((k) => <KpiCard key={k.id} k={k} />)}\n                  </div>\n                )}\n                {(pDonuts.length > 0 || pBars.length > 0 || (p.distributions?.length ?? 0) > 0) && (\n                  <div style={{ display: \"grid\", gap: 18, gridTemplateColumns: \"repeat(auto-fit, minmax(min(340px, 100%), 1fr))\" }}>\n                    {pDonuts.map((b) => <Donut key={b.id} title={b.title} items={b.items} />)}\n                    {pBars.map((b) => <BarChart key={b.id} title={b.title} items={b.items} />)}\n                    {p.distributions?.map((d) => <Histogram key={d.id} dist={d} />)}\n                  </div>\n                )}\n                {p.tables?.map((tb) => <DataTable key={tb.id} spec={tb} />)}\n              </section>\n            );\n          })}\n\n          {/* --- records & faits marquants ------------------------------------ */}\n          {dash.records?.length > 0 && (\n            <section aria-label=\"Records et faits marquants\" style={{ display: \"grid\", gap: 10 }}>\n              <h2 style={{ margin: 0, fontFamily: \"var(--font-display)\", fontSize: 19 }}>Records & faits marquants</h2>\n              <div style={{ display: \"grid\", gap: 10, gridTemplateColumns: \"repeat(auto-fit, minmax(min(280px, 100%), 1fr))\" }}>\n                {dash.records.map((r) => <RecordCard key={r.label} r={r} />)}\n              </div>\n            </section>\n          )}\n        </div>\n      )}\n    </div>\n  );\n}\n===PANELS()===\n        ([{\"label\": k, \"value\": round(median(v), 1)}\n          for k, v in byreg.items() if len(v) >= 5]),\n        key=lambda x: x[\"value\"])\n    # tableau régions\n    treg = sorted(([k, len(v), round(median(v), 1)]\n                   for k, v in byreg.items() if len(v) >= 5),\n                  key=lambda x: x[2])\n    table = {\"id\": \"gaz_regions\",\n             \"title\": \"Prix de l'essence régulière par région\",\n             \"columns\": [\"Région\", \"Stations\", \"Régulier médian (¢/L)\"],\n             \"rows\": [[r[0], r[1], f\"{r[2]:.1f}\"] for r in treg]}\n\n    return {\n        \"id\": \"essence\",\n        \"title\": \"Prix de l'essence au Québec\",\n        \"subtitle\": \"Prix courants des stations-service (gazquebec.ca), toutes \"\n                    \"régions confondues.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"gaz_reg_bar\",\n                        \"title\": \"Essence régulière — médiane par région (¢/L)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"tables\": [table],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Retourne les panneaux « territoire » (cache 30 min). `con` = base des\n    annonces (pour la jointure recensement via l'aire de diffusion).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (_panel_rdl, lambda: _panel_population(con), _panel_gaz):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e03bb7d8-fff8-4858-9b1f-361e305303aa","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"5d446e14-5821-422a-9dcb-2787fbb35f93","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"5921f2cb-886a-48e2-b7d5-0e2783402cae","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"9066e80b-675d-4141-b598-ec872935f784","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":50,"uuid":"6ef826ac-5e1c-47f9-bc2f-aea9f55f7ae8","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"c76563d7-818f-4274-8631-0c02a73e26b7","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"e0107ab6-e344-4fa1-89b6-e19646f7b488","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":100,"uuid":"2da57676-56bf-447d-8b33-b8d44a6c26b1","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"b9152c4e-fd13-4873-9514-52e3959c747c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"0d1bdcb1-aa66-4b8f-b4e0-119fade84f1c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"d73c4782-f76c-4c2e-9f6e-a0e863482075","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":100,"uuid":"b8cc69cf-f3a6-4873-975e-ee2b92aa39dd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":100,"uuid":"eadcd2da-61fb-45d1-9e16-1bdb24f990b0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"08e0cbd7-ddd2-40b8-bdf3-c39a90d9aa25","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":100,"uuid":"033f2421-ee72-4313-9605-c3351ae2515c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWcRQX6Z2fXgvqYUsgB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6689,"cache_read_input_tokens":169247,"cache_creation":{"ephemeral_5m_input_tokens":6689,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e14e0fe9-3e93-4d81-984a-60703aa7f93e","request_id":"req_011CeNWcNVA8FkK9pzZdVDPk"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWcRQX6Z2fXgvqYUsgB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6689,"cache_read_input_tokens":169247,"cache_creation":{"ephemeral_5m_input_tokens":6689,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"49150104-4f1f-4ce9-8883-da901ffb6e3f","request_id":"req_011CeNWcNVA8FkK9pzZdVDPk"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWcRQX6Z2fXgvqYUsgB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WN51CHoqJFCpCtUwuGCrgo","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True); con.row_factory=sqlite3.Row\nprint(\"verdicts:\", con.execute(\"SELECT verdict, COUNT(*) FROM fairvalue GROUP BY verdict\").fetchall())\nprint(\"fv join actives:\", con.execute(\"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\").fetchone()[0])\nprint(\"events:\", con.execute(\"SELECT event, COUNT(*) FROM listing_events GROUP BY event\").fetchall())\nprint(\"managers rating:\", con.execute(\"SELECT COUNT(*), SUM(gmaps_reviews) FROM managers WHERE gmaps_rating IS NOT NULL\").fetchone())\nprint(\"ks join:\", con.execute(\"SELECT COUNT(*) FROM listings l JOIN kascores k ON l.coord_key=k.coord_key WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\").fetchone()[0])\nprint(\"actives:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\").fetchone()[0])\nct = sqlite3.connect(\"file:data/louka_ct.db?mode=ro\", uri=True)\nprint(\"ct cols:\", [r[1] for r in ct.execute(\"PRAGMA table_info(st_listings)\")])\nEOF'","description":"Check lou-ka data values for panels"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6689,"cache_read_input_tokens":169247,"cache_creation":{"ephemeral_5m_input_tokens":6689,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"c992fda2-aa5d-44e3-b8fc-b0249873d706","request_id":"req_011CeNWcNVA8FkK9pzZdVDPk"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True); con.row_factory=sqlite3.Row\nprint(\"verdicts:\", con.execute(\"SELECT verdict, COUNT(*) FROM fairvalue GROUP BY verdict\").fetchall())\nprint(\"fv join actives:\", con.execute(\"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\").fetchone()[0])\nprint(\"events:\", con.execute(\"SELECT event, COUNT(*) FROM listing_events GROUP BY event\").fetchall())\nprint(\"managers rating:\", con.execute(\"SELECT COUNT(*), SUM(gmaps_reviews) FROM managers WHERE gmaps_rating IS NOT NULL\").fetchone())\nprint(\"ks join:\", con.execute(\"SELECT COUNT(*) FROM listings l JOIN kascores k ON l.coord_key=k.coord_key WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\").fetchone()[0])\nprint(\"actives:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\").fetchone()[0])\nct = sqlite3.connect(\"file:data/louka_ct.db?mode=ro\", uri=True)\nprint(\"ct cols:\", [r[1] for r in ct.execute(\"PRAGMA table_info(st_listings)\")])\nEOF'","description":"Check lou-ka data values for panels"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WN51CHoqJFCpCtUwuGCrgo","type":"tool_result","content":"verdicts: [<sqlite3.Row object at 0x109888220>, <sqlite3.Row object at 0x109888e20>, <sqlite3.Row object at 0x1098896c0>, <sqlite3.Row object at 0x109889a20>]\nfv join actives: 43993\nevents: [<sqlite3.Row object at 0x1098896c0>, <sqlite3.Row object at 0x109889270>, <sqlite3.Row object at 0x1098898a0>, <sqlite3.Row object at 0x109889c90>, <sqlite3.Row object at 0x109889cf0>, <sqlite3.Row object at 0x109889d20>, <sqlite3.Row object at 0x109889d50>]\nmanagers rating: <sqlite3.Row object at 0x109888d30>\nks join: 43488\nactives: 45405\nct cols: ['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds', 'bathrooms', 'pets', 'citq', 'rating', 'reviews', 'description', 'amenities', 'details', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active']","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"983a61cf-e6bc-45d7-98e2-f3819fa810a8","timestamp":"2026-08-25T00:22:32.820Z","tool_use_result":{"stdout":"verdicts: [<sqlite3.Row object at 0x109888220>, <sqlite3.Row object at 0x109888e20>, <sqlite3.Row object at 0x1098896c0>, <sqlite3.Row object at 0x109889a20>]\nfv join actives: 43993\nevents: [<sqlite3.Row object at 0x1098896c0>, <sqlite3.Row object at 0x109889270>, <sqlite3.Row object at 0x1098898a0>, <sqlite3.Row object at 0x109889c90>, <sqlite3.Row object at 0x109889cf0>, <sqlite3.Row object at 0x109889d20>, <sqlite3.Row object at 0x109889d50>]\nmanagers rating: <sqlite3.Row object at 0x109888d30>\nks join: 43488\nactives: 45405\nct cols: ['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds', 'bathrooms', 'pets', 'citq', 'rating', 'reviews', 'description', 'amenities', 'details', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active']","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWcRQX6Z2fXgvqYUsgB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T27xRHaLvNC55Jri4EisEE","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && python3 - <<EOF\nimport sqlite3, json\ncon = sqlite3.connect(\"file:data/immoka.db?mode=ro\", uri=True); con.row_factory=sqlite3.Row\nr = con.execute(\"SELECT vraiprix FROM listings WHERE vraiprix LIKE \\\"%estimation%\\\" LIMIT 1\").fetchone()\nprint(\"vraiprix sample:\", (r[0][:200] if r else None))\nprint(\"vp count:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1 AND vraiprix LIKE \\\"%estimation%\\\"\").fetchone()[0])\nprint(\"actives:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1\").fetchone()[0])\nprint(\"dup_hidden:\", con.execute(\"SELECT dup_hidden, COUNT(*) FROM listings WHERE active=1 GROUP BY dup_hidden\").fetchall())\nm = sqlite3.connect(\"file:data/mortgage.db?mode=ro\", uri=True)\nprint(\"rate cols:\", [r[1] for r in m.execute(\"PRAGMA table_info(rate_observations)\")])\nprint(\"types:\", m.execute(\"SELECT rate_type, kind, COUNT(*) FROM rate_observations GROUP BY rate_type, kind\").fetchall())\nprint(\"terms:\", m.execute(\"SELECT term_months, COUNT(*) FROM rate_observations GROUP BY term_months\").fetchall())\nh = sqlite3.connect(\"file:data/hydro.db?mode=ro\", uri=True)\nprint(\"hydro tables:\", [r[0] for r in h.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\nEOF'","description":"Check immo-ka data values for panels"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6689,"cache_read_input_tokens":169247,"cache_creation":{"ephemeral_5m_input_tokens":6689,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"efcbda23-bdb2-486c-ab2e-ba797300f7cf","request_id":"req_011CeNWcNVA8FkK9pzZdVDPk"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && python3 - <<EOF\nimport sqlite3, json\ncon = sqlite3.connect(\"file:data/immoka.db?mode=ro\", uri=True); con.row_factory=sqlite3.Row\nr = con.execute(\"SELECT vraiprix FROM listings WHERE vraiprix LIKE \\\"%estimation%\\\" LIMIT 1\").fetchone()\nprint(\"vraiprix sample:\", (r[0][:200] if r else None))\nprint(\"vp count:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1 AND vraiprix LIKE \\\"%estimation%\\\"\").fetchone()[0])\nprint(\"actives:\", con.execute(\"SELECT COUNT(*) FROM listings WHERE active=1\").fetchone()[0])\nprint(\"dup_hidden:\", con.execute(\"SELECT dup_hidden, COUNT(*) FROM listings WHERE active=1 GROUP BY dup_hidden\").fetchall())\nm = sqlite3.connect(\"file:data/mortgage.db?mode=ro\", uri=True)\nprint(\"rate cols:\", [r[1] for r in m.execute(\"PRAGMA table_info(rate_observations)\")])\nprint(\"types:\", m.execute(\"SELECT rate_type, kind, COUNT(*) FROM rate_observations GROUP BY rate_type, kind\").fetchall())\nprint(\"terms:\", m.execute(\"SELECT term_months, COUNT(*) FROM rate_observations GROUP BY term_months\").fetchall())\nh = sqlite3.connect(\"file:data/hydro.db?mode=ro\", uri=True)\nprint(\"hydro tables:\", [r[0] for r in h.execute(\"SELECT name FROM sqlite_master WHERE type=\\\"table\\\"\")])\nEOF'","description":"Check immo-ka data values for panels"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T27xRHaLvNC55Jri4EisEE","type":"tool_result","content":"vraiprix sample: {\"id\": \"67040891583478400000000\", \"value\": 546400.0, \"low\": 348100.0, \"high\": 519500.0, \"confidence\": null, \"confidence_pct\": null, \"url\": \"https://www.vrai-prix.com/estimation/67040891583478400000000\nvp count: 70083\nactives: 130628\ndup_hidden: [<sqlite3.Row object at 0x106098250>, <sqlite3.Row object at 0x106098280>]\nrate cols: ['id', 'provider', 'institution', 'product_key', 'product_name', 'rate_type', 'term_months', 'kind', 'rate', 'apr', 'insured_status', 'purpose', 'amortization_max_years', 'conditions', 'source_url', 'confidence', 'raw', 'valid_from', 'valid_to', 'last_checked']\ntypes: [('adjustable', 'special', 6), ('fixed', 'posted', 122), ('fixed', 'special', 51), ('other', 'posted', 11), ('variable', 'posted', 12), ('variable', 'special', 18)]\nterms: [(3, 1), (6, 13), (12, 39), (24, 20), (36, 30), (48, 23), (60, 60), (72, 6), (84, 15), (120, 13)]\nhydro tables: ['hydro_cache']","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"df6a3cf6-ee72-4b03-9813-cd9a8811ec08","timestamp":"2026-08-25T00:22:38.039Z","tool_use_result":{"stdout":"vraiprix sample: {\"id\": \"67040891583478400000000\", \"value\": 546400.0, \"low\": 348100.0, \"high\": 519500.0, \"confidence\": null, \"confidence_pct\": null, \"url\": \"https://www.vrai-prix.com/estimation/67040891583478400000000\nvp count: 70083\nactives: 130628\ndup_hidden: [<sqlite3.Row object at 0x106098250>, <sqlite3.Row object at 0x106098280>]\nrate cols: ['id', 'provider', 'institution', 'product_key', 'product_name', 'rate_type', 'term_months', 'kind', 'rate', 'apr', 'insured_status', 'purpose', 'amortization_max_years', 'conditions', 'source_url', 'confidence', 'raw', 'valid_from', 'valid_to', 'last_checked']\ntypes: [('adjustable', 'special', 6), ('fixed', 'posted', 122), ('fixed', 'special', 51), ('other', 'posted', 11), ('variable', 'posted', 12), ('variable', 'special', 18)]\nterms: [(3, 1), (6, 13), (12, 39), (24, 20), (36, 30), (48, 23), (60, 60), (72, 6), (84, 15), (120, 13)]\nhydro tables: ['hydro_cache']","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3a948d18-9143-4eac-87c0-b5539315003a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"fa0e2059-6604-4a1a-b249-931a40e3bfff","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"1a969954-3650-4809-b7a7-d874e336ec59","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"87bec3f9-e61f-4929-9268-0bb73c69bdfd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":210,"estimated_tokens_delta":10,"uuid":"79348ac9-2d65-42b1-9bcc-c89099897766","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWgQTLEWGaukmygwLH8","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISvQYKpwEIERgCKkBjzPapB17XLJy3AzauKd+vFp8bWnncwB+ivD85pXbJ+tShTuPjJn7+4iuT8MU7VfdJn/qDOVBCmUMDSfKxbshpMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHWwLPUBrABAhIM66tvOyeLscvgVoNoGgysVzOPLrXSsNWpf24iMEpCO1yBwrW562lvcxOmThnTOL26jJw32MWU81xqtrclxqJQfVDQjTk0h1r0buf4oSrCBOFN5FVhEzxfdLtIAsCTF17g2P4LSaG3AwzrOqzCQX1A5yo1E+DY69sP+OQFdBUnwZx1rt/KCNKeQ0YDq/Tgbps8qaVhLZ0BSsP7UZT4A3+FI6bXqzx89R6eHB1sJ1GKwxtAERZgznv1eSkJ8RBI8V0bIOdafuq9QFm/DGzUoy1un8zdcu1Y4sMn8uUPJ5tF9naPF7RWOvX9IWhT4TagYx9BZU3ICjhIisLtRYWXbre/A6jA3rNC8ojLJvJ2R754GEfT58YygYcfgI4tlPikycD71yOohhBLJH5j4wD/5Lnn0COCZqE4sxrl4IUmSil7LVZBvtuln9wcYXcvDt9ZpBW821WhPohScqA5PEzFRb/0tRMoslqheuFN5GUbgCA+N2/0f+cwUUfU3R17WA6KFFs2/yPWtn/vt/znBlm21x/ziM6idu35zsksbbUH2RMF4AubkYEMjWaAIYnfB6/xNd5+pwJc3AWk1NPJR8L3JKs5i/s9P9BHmwP7oFkbPY+bU2qqgUJgefdZP1ODj9dQ+TzEYYscgjd/vzndlNacEVkEitPWqrlretwJec66nusNdWJcOknCJY7D8PlT5/lhP97AIRMcUrDJOj/iWvECqxxLmbL7rUECL1qqMcimwmBsuzPtC9cnU4NWTmJkmGzWGKVaX1JDOC4766psvU6pTW2O3aZ2foHF0aSdy88fJQClU7htmO5w9fxQAWaXDvNMzGV1njQ4wJfH9PX6MegtR4FkmLvbIRF4WckyAh6uKhXj3GUpGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4931,"cache_read_input_tokens":175936,"cache_creation":{"ephemeral_5m_input_tokens":4931,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e0e98c9b-e9ef-4dd2-8655-2ff6b9e1de6b","request_id":"req_011CeNWgMqpZ6nQ5vAxDUzGA"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWgQTLEWGaukmygwLH8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XA1GC9JpM7Fw7tu8tqtNfA","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True)\nprint(\"verdicts:\", con.execute(\"SELECT verdict, COUNT(*) FROM fairvalue GROUP BY verdict\").fetchall())\nprint(\"events:\", con.execute(\"SELECT event, COUNT(*) FROM listing_events GROUP BY event\").fetchall())\nprint(\"managers:\", con.execute(\"SELECT COUNT(*), SUM(gmaps_reviews), ROUND(AVG(gmaps_rating),2) FROM managers WHERE gmaps_rating IS NOT NULL\").fetchall())\nct = sqlite3.connect(\"file:data/louka_ct.db?mode=ro\", uri=True)\nprint(\"ct actives:\", ct.execute(\"SELECT COUNT(*), COUNT(DISTINCT source), COUNT(DISTINCT region) FROM st_listings WHERE active=1\").fetchall())\nprint(\"ct rating:\", ct.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1 AND rating IS NOT NULL\").fetchall())\nprint(\"ct citq:\", ct.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1 AND citq IS NOT NULL AND citq<>\\\"\\\"\").fetchall())\nEOF'","description":"Get lou-ka verdict/event values as text"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4931,"cache_read_input_tokens":175936,"cache_creation":{"ephemeral_5m_input_tokens":4931,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b6ab2876-2531-42d5-aaa9-568ab0a6cacb","request_id":"req_011CeNWgMqpZ6nQ5vAxDUzGA"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nimport sqlite3\ncon = sqlite3.connect(\"file:data/louka.db?mode=ro\", uri=True)\nprint(\"verdicts:\", con.execute(\"SELECT verdict, COUNT(*) FROM fairvalue GROUP BY verdict\").fetchall())\nprint(\"events:\", con.execute(\"SELECT event, COUNT(*) FROM listing_events GROUP BY event\").fetchall())\nprint(\"managers:\", con.execute(\"SELECT COUNT(*), SUM(gmaps_reviews), ROUND(AVG(gmaps_rating),2) FROM managers WHERE gmaps_rating IS NOT NULL\").fetchall())\nct = sqlite3.connect(\"file:data/louka_ct.db?mode=ro\", uri=True)\nprint(\"ct actives:\", ct.execute(\"SELECT COUNT(*), COUNT(DISTINCT source), COUNT(DISTINCT region) FROM st_listings WHERE active=1\").fetchall())\nprint(\"ct rating:\", ct.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1 AND rating IS NOT NULL\").fetchall())\nprint(\"ct citq:\", ct.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1 AND citq IS NOT NULL AND citq<>\\\"\\\"\").fetchall())\nEOF'","description":"Get lou-ka verdict/event values as text"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XA1GC9JpM7Fw7tu8tqtNfA","type":"tool_result","content":"verdicts: [(None, 5175), ('marche', 18316), ('sous', 11158), ('sur', 11060)]\nevents: [('description', 71), ('disparition', 1268), ('dispo', 57), ('inclusions', 46), ('photos', 486), ('reapparition', 582), ('superficie', 14)]\nmanagers: [(1, 395, 3.6)]\nct actives: [(41460, 22, 27)]\nct rating: [(17259,)]\nct citq: [(16366,)]","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6660ed4d-3c47-40bc-9ef3-52ca45dc9a2d","timestamp":"2026-08-25T00:22:51.794Z","tool_use_result":{"stdout":"verdicts: [(None, 5175), ('marche', 18316), ('sous', 11158), ('sur', 11060)]\nevents: [('description', 71), ('disparition', 1268), ('dispo', 57), ('inclusions', 46), ('photos', 486), ('reapparition', 582), ('superficie', 14)]\nmanagers: [(1, 395, 3.6)]\nct actives: [(41460, 22, 27)]\nct rating: [(17259,)]\nct citq: [(16366,)]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"957bdc8a-52d8-4729-909c-0f7191ae0184","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"18f39680-c907-4ff7-b389-f19985da4dcd","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWhQKg5FCruTvUkmJSC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CrAHUjNSHdfoeY14LpZnLG","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce que Lou-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, KA Scores,\n#       juste valeur, immeuble, photos) + couches de données branchées ;\n#     · KA Scores (piliers, distribution, villes) ;\n#     · Juste valeur (verdicts, écarts, villes surchauffées) ;\n#     · Historique des prix (baisses/hausses) + vie des annonces ;\n#     · Court terme (chalets et hébergements, CITQ, notes) ;\n#     · Gestionnaires (fiches Google, notes) — masqué tant que < 10 notés ;\n#     · Annuaire des déménageurs du Québec.\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\nACTIVE = \"active=1 AND published=1 AND dup_of IS NULL\"\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                     \"AND dauid IS NOT NULL AND dauid<>''\")\n    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))\n    fv = _n1(con, \"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid \"\n                  \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\")\n    bld = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND building_key IS NOT NULL AND building_key<>''\")\n    imgok = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} AND images_ok=1\")\n    compl = con.execute(\n        f\"SELECT ROUND(AVG(completeness),1) FROM listings WHERE {ACTIVE}\"\n    ).fetchone()[0]\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives publiées\", \"value\": tot},\n        {\"id\": \"enr_compl\", \"label\": \"Complétude moyenne\", \"value\": compl, \"unit\": \"%\"},\n        {\"id\": \"enr_bld\", \"label\": \"Immeubles au passeport\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM buildings\")},\n        {\"id\": \"enr_img\", \"label\": \"Photos vérifiées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_checks\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"KA Scores\", \"value\": _pctof(ks, tot)},\n        {\"label\": \"Juste valeur\", \"value\": _pctof(fv, tot)},\n        {\"label\": \"Immeuble rattaché\", \"value\": _pctof(bld, tot)},\n        {\"label\": \"Photos auditées OK\", \"value\": _pctof(imgok, tot)},\n    ]\n\n    # couches de données branchées sur la fiche (chaque ligne est optionnelle)\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc])\n        except Exception:\n            pass\n\n    layer(\"KA Scores\", lambda: _n1(con, \"SELECT COUNT(*) FROM kascores\"),\n          \"emplacements notés (marche, transit, vélo, calme, services)\")\n    layer(\"Juste valeur\", lambda: _n1(con, \"SELECT COUNT(*) FROM fairvalue\"),\n          \"évaluations de loyer (modèle comparables Lou-Ka)\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Immeubles\", lambda: _n1(con, \"SELECT COUNT(*) FROM buildings\"),\n          \"passeports d'immeuble (historique par adresse)\")\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\", \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\", \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Dossiers TAL\", lambda: _side(\"tal.db\", \"SELECT COUNT(*) FROM tal_lookup\"),\n          \"adresses vérifiées au Tribunal administratif du logement\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\", \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers réellement déclarés (Vivre en ville)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce que Lou-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque annonce agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, KA Scores, juste \"\n                    \"valeur, passeport d'immeuble, audit des photos et couches \"\n                    \"du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : KA Scores -------------------------------------------------------\ndef _panel_kascores(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT k.walk, k.transit, k.bike, k.calme, k.services, k.global, l.city\"\n        \" FROM listings l JOIN kascores k ON l.coord_key=k.coord_key\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND k.global IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    glob = [r[\"global\"] for r in rows]\n    kpis = [\n        {\"id\": \"ks_n\", \"label\": \"Fiches avec KA Scores\", \"value\": len(rows)},\n        {\"id\": \"ks_med\", \"label\": \"Score global médian\",\n         \"value\": round(median(glob), 1), \"unit\": \"/100\"},\n        {\"id\": \"ks_70\", \"label\": \"Score ≥ 70 (excellents secteurs)\",\n         \"value\": _pctof(sum(1 for g in glob if g >= 70), len(glob)), \"unit\": \"%\"},\n        {\"id\": \"ks_loc\", \"label\": \"Emplacements notés (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM kascores\")},\n    ]\n    piliers = [(\"walk\", \"Marche\"), (\"transit\", \"Transport\"), (\"bike\", \"Vélo\"),\n               (\"calme\", \"Calme\"), (\"services\", \"Services\")]\n    bars = []\n    for col, label in piliers:\n        vals = [r[col] for r in rows if r[col] is not None]\n        if vals:\n            bars.append({\"label\": label, \"value\": round(median(vals), 1)})\n\n    bins = []\n    for lo in range(0, 100, 10):\n        n = sum(1 for g in glob if lo <= g < lo + 10 or (lo == 90 and g == 100))\n        bins.append({\"label\": str(lo), \"value\": n})\n\n    byc: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(r[\"global\"])\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"ks_villes\",\n             \"title\": \"Meilleurs scores globaux par ville (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches notées\", \"Score global médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):.1f}\"] for c, v in top]}\n\n    return {\n        \"id\": \"kascores\",\n        \"title\": \"KA Scores — la qualité du secteur, chiffrée\",\n        \"subtitle\": \"Cinq piliers calculés sur données ouvertes (OSM, GTFS…) \"\n                    \"pour chaque emplacement : marche, transport, vélo, calme \"\n                    \"et services.\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"ks_piliers\",\n                        \"title\": \"Score médian par pilier (fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"distributions\": [{\"id\": \"ks_hist\",\n                           \"title\": \"Distribution du score global\",\n                           \"unit\": \"pts\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : juste valeur ----------------------------------------------------\ndef _panel_fairvalue(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT f.deviation, f.verdict, l.city FROM fairvalue f\"\n        \" JOIN listings l ON f.uid=l.uid\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND f.deviation IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    devs = [r[\"deviation\"] for r in rows]\n    # heuristique d'unité : fraction (0.08) vs pourcentage (8.0)\n    scale = 100.0 if median(abs(d) for d in devs) < 1.5 else 1.0\n    devs_pct = [d * scale for d in devs]\n\n    labels = {\"marche\": \"Prix du marché\", \"sous\": \"Sous le marché\",\n              \"sur\": \"Au-dessus du marché\"}\n    counts: dict[str, int] = {}\n    for r in rows:\n        if r[\"verdict\"]:\n            counts[labels.get(r[\"verdict\"], r[\"verdict\"])] = \\\n                counts.get(labels.get(r[\"verdict\"], r[\"verdict\"]), 0) + 1\n\n    kpis = [\n        {\"id\": \"fv_n\", \"label\": \"Loyers évalués (fiches actives)\", \"value\": len(rows)},\n        {\"id\": \"fv_med\", \"label\": \"Écart médian au loyer estimé\",\n         \"value\": round(median(devs_pct), 1), \"unit\": \"%\"},\n        {\"id\": \"fv_sur\", \"label\": \"Au-dessus du marché\",\n         \"value\": _pctof(counts.get(\"Au-dessus du marché\", 0), len(rows)), \"unit\": \"%\"},\n        {\"id\": \"fv_sous\", \"label\": \"Sous le marché (aubaines)\",\n         \"value\": _pctof(counts.get(\"Sous le marché\", 0), len(rows)), \"unit\": \"%\"},\n    ]\n\n    bins = []\n    lo = -40\n    while lo < 60:\n        n = sum(1 for d in devs_pct if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for r, d in zip(rows, devs_pct):\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"fv_villes\",\n             \"title\": \"Villes où les loyers affichés dépassent le plus la juste \"\n                      \"valeur (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches évaluées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"juste_valeur\",\n        \"title\": \"Juste valeur — le loyer affiché est-il le bon prix ?\",\n        \"subtitle\": \"Chaque fiche est comparée aux logements semblables du \"\n                    \"même secteur (modèle de comparables Lou-Ka).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"fv_verdicts\", \"title\": \"Verdicts de juste valeur\",\n                        \"kind\": \"donut\",\n                        \"items\": [{\"label\": k, \"value\": v}\n                                  for k, v in sorted(counts.items(),\n                                                     key=lambda kv: -kv[1])]}]\n                      if counts else [],\n        \"distributions\": [{\"id\": \"fv_hist\",\n                           \"title\": \"Distribution des écarts au loyer estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix & vie des annonces --------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    npts = len(rows)\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": npts},\n        {\"id\": \"px_chg\", \"label\": \"Annonces avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de loyer détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops), 1) if drops else None, \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n\n    ev_labels = {\"disparition\": \"Disparition\", \"reapparition\": \"Réapparition\",\n                 \"photos\": \"Photos modifiées\", \"description\": \"Description modifiée\",\n                 \"dispo\": \"Disponibilité modifiée\", \"inclusions\": \"Inclusions modifiées\",\n                 \"superficie\": \"Superficie modifiée\"}\n    evs = [{\"label\": ev_labels.get(r[\"event\"], r[\"event\"]), \"value\": r[\"n\"]}\n           for r in con.execute(\n               \"SELECT event, COUNT(*) n FROM listing_events GROUP BY event\"\n               \" ORDER BY n DESC\")]\n\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque loyer est suivi dans le temps\",\n        \"subtitle\": \"Lou-Ka consigne le loyer de chaque annonce à chaque \"\n                    \"synchronisation : baisses, hausses et événements de vie \"\n                    \"de l'annonce apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"px_sens\", \"title\": \"Changements de loyer détectés\",\n                         \"kind\": \"donut\", \"items\": donut}]\n                       + ([{\"id\": \"px_events\",\n                            \"title\": \"Événements de vie des annonces (photos, \"\n                                     \"description, disponibilité…)\",\n                            \"kind\": \"bar\", \"items\": evs}] if evs else [])),\n    }\n\n\n# --- Panneau : court terme ------------------------------------------------------\ndef _panel_court_terme() -> dict | None:\n    con = _ro(\"louka_ct.db\")\n    if con is None:\n        return None\n    try:\n        tot, nsrc = con.execute(\n            \"SELECT COUNT(*), COUNT(DISTINCT source) FROM st_listings\"\n            \" WHERE active=1\").fetchone()\n        if not tot or tot < 100:\n            return None\n        prices = [r[0] for r in con.execute(\n            \"SELECT price_night FROM st_listings WHERE active=1\"\n            \" AND price_night > 20 AND price_night < 10000\")]\n        citq = con.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1\"\n                           \" AND citq IS NOT NULL AND citq<>''\").fetchone()[0]\n        rated = [r[0] for r in con.execute(\n            \"SELECT rating FROM st_listings WHERE active=1 AND rating IS NOT NULL\")]\n        byreg = {}\n        for r in con.execute(\n                \"SELECT region, price_night FROM st_listings WHERE active=1\"\n                \" AND region IS NOT NULL AND region<>'' AND price_night > 20\"\n                \" AND price_night < 10000\"):\n            byreg.setdefault(r[0], []).append(r[1])\n    finally:\n        con.close()\n\n    bars = sorted(([{\"label\": k, \"value\": round(median(v))}\n                    for k, v in byreg.items() if len(v) >= 100]),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"ct_n\", \"label\": \"Hébergements court terme actifs\", \"value\": tot},\n        {\"id\": \"ct_src\", \"label\": \"Plateformes agrégées\", \"value\": nsrc},\n        {\"id\": \"ct_px\", \"label\": \"Prix médian par nuit\",\n         \"value\": round(median(prices)) if prices else None, \"unit\": \"$\"},\n        {\"id\": \"ct_citq\", \"label\": \"Avec n° d'enregistrement CITQ\",\n         \"value\": _pctof(citq, tot), \"unit\": \"%\"},\n        {\"id\": \"ct_note\", \"label\": \"Note médiane des voyageurs\",\n         \"value\": round(median(rated), 2) if len(rated) >= 50 else None, \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"court_terme\",\n        \"title\": \"Court terme — chalets et hébergements à la nuit\",\n        \"subtitle\": \"La section Court terme agrège les plateformes de location \"\n                    \"de chalets et d'hébergements partout au Québec.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ct_reg\",\n                        \"title\": \"Prix médian par nuit selon la région \"\n                                 \"(min. 100 annonces)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\n# --- Panneau : gestionnaires (masqué tant que < 10 fiches Google notées) --------\ndef _panel_gestionnaires(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT name, gmaps_rating r, gmaps_reviews nrev FROM managers\"\n        \" WHERE gmaps_rating IS NOT NULL\").fetchall()\n    if len(rows) < 10:\n        return None\n    notes = [r[\"r\"] for r in rows]\n    kpis = [\n        {\"id\": \"mg_n\", \"label\": \"Gestionnaires répertoriés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM managers\")},\n        {\"id\": \"mg_fiche\", \"label\": \"Avec fiche Google notée\", \"value\": len(rows)},\n        {\"id\": \"mg_med\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(notes), 2), \"unit\": \"/5\"},\n        {\"id\": \"mg_avis\", \"label\": \"Avis cumulés\",\n         \"value\": sum(r[\"nrev\"] or 0 for r in rows)},\n    ]\n    top = sorted((r for r in rows if (r[\"nrev\"] or 0) >= 20),\n                 key=lambda r: -r[\"r\"])[:12]\n    table = {\"id\": \"mg_top\",\n             \"title\": \"Gestionnaires les mieux notés (min. 20 avis)\",\n             \"columns\": [\"Gestionnaire\", \"Note Google\", \"Avis\"],\n             \"rows\": [[r[\"name\"], f\"{r['r']:.1f}\", r[\"nrev\"]] for r in top]}\n    return {\n        \"id\": \"gestionnaires\",\n        \"title\": \"Gestionnaires immobiliers — réputation Google\",\n        \"subtitle\": \"Chaque gestionnaire agrégé est rapproché de sa fiche \"\n                    \"Google Maps : note et avis apparaissent sur ses annonces.\",\n        \"kpis\": kpis,\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : annuaire des déménageurs -----------------------------------------\ndef _panel_demenageurs() -> dict | None:\n    p = DATA / \"demenageurs.json\"\n    if not p.exists():\n        return None\n    doc = json.loads(p.read_text(encoding=\"utf-8\"))\n    movers = doc.get(\"movers\", [])\n    if len(movers) < 50:\n        return None\n    rated = [m[\"rating\"] for m in movers if m.get(\"rating\")]\n    byreg: dict[str, int] = {}\n    for m in movers:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"dem_n\", \"label\": \"Déménageurs répertoriés\", \"value\": len(movers)},\n        {\"id\": \"dem_reg\", \"label\": \"Régions couvertes\", \"value\": len(byreg)},\n        {\"id\": \"dem_web\", \"label\": \"Avec site web\",\n         \"value\": _pctof(sum(1 for m in movers if m.get(\"website\")), len(movers)),\n         \"unit\": \"%\"},\n        {\"id\": \"dem_note\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(rated), 1) if len(rated) >= 30 else None,\n         \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"annuaire_demenageurs\",\n        \"title\": \"Annuaire des déménageurs du Québec\",\n        \"subtitle\": \"L'annuaire complet des entreprises de déménagement de la \"\n                    \"province, présenté sur /demenageurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"dem_reg_bar\",\n                        \"title\": \"Déménageurs par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_kascores(con),\n               lambda: _panel_fairvalue(con),\n               lambda: _panel_historique(con),\n               _panel_court_terme,\n               lambda: _panel_gestionnaires(con),\n               _panel_demenageurs):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":975,"cache_read_input_tokens":180867,"cache_creation":{"ephemeral_5m_input_tokens":975,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"ae069a9f-3de1-44bd-96f5-43fd7092181c","request_id":"req_011CeNWhNZWjiu1nMt67SVFW"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce que Lou-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, KA Scores,\n#       juste valeur, immeuble, photos) + couches de données branchées ;\n#     · KA Scores (piliers, distribution, villes) ;\n#     · Juste valeur (verdicts, écarts, villes surchauffées) ;\n#     · Historique des prix (baisses/hausses) + vie des annonces ;\n#     · Court terme (chalets et hébergements, CITQ, notes) ;\n#     · Gestionnaires (fiches Google, notes) — masqué tant que < 10 notés ;\n#     · Annuaire des déménageurs du Québec.\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\nACTIVE = \"active=1 AND published=1 AND dup_of IS NULL\"\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                     \"AND dauid IS NOT NULL AND dauid<>''\")\n    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))\n    fv = _n1(con, \"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid \"\n                  \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\")\n    bld = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND building_key IS NOT NULL AND building_key<>''\")\n    imgok = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} AND images_ok=1\")\n    compl = con.execute(\n        f\"SELECT ROUND(AVG(completeness),1) FROM listings WHERE {ACTIVE}\"\n    ).fetchone()[0]\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives publiées\", \"value\": tot},\n        {\"id\": \"enr_compl\", \"label\": \"Complétude moyenne\", \"value\": compl, \"unit\": \"%\"},\n        {\"id\": \"enr_bld\", \"label\": \"Immeubles au passeport\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM buildings\")},\n        {\"id\": \"enr_img\", \"label\": \"Photos vérifiées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_checks\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"KA Scores\", \"value\": _pctof(ks, tot)},\n        {\"label\": \"Juste valeur\", \"value\": _pctof(fv, tot)},\n        {\"label\": \"Immeuble rattaché\", \"value\": _pctof(bld, tot)},\n        {\"label\": \"Photos auditées OK\", \"value\": _pctof(imgok, tot)},\n    ]\n\n    # couches de données branchées sur la fiche (chaque ligne est optionnelle)\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc])\n        except Exception:\n            pass\n\n    layer(\"KA Scores\", lambda: _n1(con, \"SELECT COUNT(*) FROM kascores\"),\n          \"emplacements notés (marche, transit, vélo, calme, services)\")\n    layer(\"Juste valeur\", lambda: _n1(con, \"SELECT COUNT(*) FROM fairvalue\"),\n          \"évaluations de loyer (modèle comparables Lou-Ka)\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Immeubles\", lambda: _n1(con, \"SELECT COUNT(*) FROM buildings\"),\n          \"passeports d'immeuble (historique par adresse)\")\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\", \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\", \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Dossiers TAL\", lambda: _side(\"tal.db\", \"SELECT COUNT(*) FROM tal_lookup\"),\n          \"adresses vérifiées au Tribunal administratif du logement\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\", \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers réellement déclarés (Vivre en ville)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce que Lou-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque annonce agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, KA Scores, juste \"\n                    \"valeur, passeport d'immeuble, audit des photos et couches \"\n                    \"du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : KA Scores -------------------------------------------------------\ndef _panel_kascores(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT k.walk, k.transit, k.bike, k.calme, k.services, k.global, l.city\"\n        \" FROM listings l JOIN kascores k ON l.coord_key=k.coord_key\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND k.global IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    glob = [r[\"global\"] for r in rows]\n    kpis = [\n        {\"id\": \"ks_n\", \"label\": \"Fiches avec KA Scores\", \"value\": len(rows)},\n        {\"id\": \"ks_med\", \"label\": \"Score global médian\",\n         \"value\": round(median(glob), 1), \"unit\": \"/100\"},\n        {\"id\": \"ks_70\", \"label\": \"Score ≥ 70 (excellents secteurs)\",\n         \"value\": _pctof(sum(1 for g in glob if g >= 70), len(glob)), \"unit\": \"%\"},\n        {\"id\": \"ks_loc\", \"label\": \"Emplacements notés (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM kascores\")},\n    ]\n    piliers = [(\"walk\", \"Marche\"), (\"transit\", \"Transport\"), (\"bike\", \"Vélo\"),\n               (\"calme\", \"Calme\"), (\"services\", \"Services\")]\n    bars = []\n    for col, label in piliers:\n        vals = [r[col] for r in rows if r[col] is not None]\n        if vals:\n            bars.append({\"label\": label, \"value\": round(median(vals), 1)})\n\n    bins = []\n    for lo in range(0, 100, 10):\n        n = sum(1 for g in glob if lo <= g < lo + 10 or (lo == 90 and g == 100))\n        bins.append({\"label\": str(lo), \"value\": n})\n\n    byc: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(r[\"global\"])\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"ks_villes\",\n             \"title\": \"Meilleurs scores globaux par ville (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches notées\", \"Score global médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):.1f}\"] for c, v in top]}\n\n    return {\n        \"id\": \"kascores\",\n        \"title\": \"KA Scores — la qualité du secteur, chiffrée\",\n        \"subtitle\": \"Cinq piliers calculés sur données ouvertes (OSM, GTFS…) \"\n                    \"pour chaque emplacement : marche, transport, vélo, calme \"\n                    \"et services.\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"ks_piliers\",\n                        \"title\": \"Score médian par pilier (fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"distributions\": [{\"id\": \"ks_hist\",\n                           \"title\": \"Distribution du score global\",\n                           \"unit\": \"pts\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : juste valeur ----------------------------------------------------\ndef _panel_fairvalue(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT f.deviation, f.verdict, l.city FROM fairvalue f\"\n        \" JOIN listings l ON f.uid=l.uid\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND f.deviation IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    devs = [r[\"deviation\"] for r in rows]\n    # heuristique d'unité : fraction (0.08) vs pourcentage (8.0)\n    scale = 100.0 if median(abs(d) for d in devs) < 1.5 else 1.0\n    devs_pct = [d * scale for d in devs]\n\n    labels = {\"marche\": \"Prix du marché\", \"sous\": \"Sous le marché\",\n              \"sur\": \"Au-dessus du marché\"}\n    counts: dict[str, int] = {}\n    for r in rows:\n        if r[\"verdict\"]:\n            counts[labels.get(r[\"verdict\"], r[\"verdict\"])] = \\\n                counts.get(labels.get(r[\"verdict\"], r[\"verdict\"]), 0) + 1\n\n    kpis = [\n        {\"id\": \"fv_n\", \"label\": \"Loyers évalués (fiches actives)\", \"value\": len(rows)},\n        {\"id\": \"fv_med\", \"label\": \"Écart médian au loyer estimé\",\n         \"value\": round(median(devs_pct), 1), \"unit\": \"%\"},\n        {\"id\": \"fv_sur\", \"label\": \"Au-dessus du marché\",\n         \"value\": _pctof(counts.get(\"Au-dessus du marché\", 0), len(rows)), \"unit\": \"%\"},\n        {\"id\": \"fv_sous\", \"label\": \"Sous le marché (aubaines)\",\n         \"value\": _pctof(counts.get(\"Sous le marché\", 0), len(rows)), \"unit\": \"%\"},\n    ]\n\n    bins = []\n    lo = -40\n    while lo < 60:\n        n = sum(1 for d in devs_pct if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for r, d in zip(rows, devs_pct):\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"fv_villes\",\n             \"title\": \"Villes où les loyers affichés dépassent le plus la juste \"\n                      \"valeur (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches évaluées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"juste_valeur\",\n        \"title\": \"Juste valeur — le loyer affiché est-il le bon prix ?\",\n        \"subtitle\": \"Chaque fiche est comparée aux logements semblables du \"\n                    \"même secteur (modèle de comparables Lou-Ka).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"fv_verdicts\", \"title\": \"Verdicts de juste valeur\",\n                        \"kind\": \"donut\",\n                        \"items\": [{\"label\": k, \"value\": v}\n                                  for k, v in sorted(counts.items(),\n                                                     key=lambda kv: -kv[1])]}]\n                      if counts else [],\n        \"distributions\": [{\"id\": \"fv_hist\",\n                           \"title\": \"Distribution des écarts au loyer estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix & vie des annonces --------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    npts = len(rows)\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": npts},\n        {\"id\": \"px_chg\", \"label\": \"Annonces avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de loyer détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops), 1) if drops else None, \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n\n    ev_labels = {\"disparition\": \"Disparition\", \"reapparition\": \"Réapparition\",\n                 \"photos\": \"Photos modifiées\", \"description\": \"Description modifiée\",\n                 \"dispo\": \"Disponibilité modifiée\", \"inclusions\": \"Inclusions modifiées\",\n                 \"superficie\": \"Superficie modifiée\"}\n    evs = [{\"label\": ev_labels.get(r[\"event\"], r[\"event\"]), \"value\": r[\"n\"]}\n           for r in con.execute(\n               \"SELECT event, COUNT(*) n FROM listing_events GROUP BY event\"\n               \" ORDER BY n DESC\")]\n\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque loyer est suivi dans le temps\",\n        \"subtitle\": \"Lou-Ka consigne le loyer de chaque annonce à chaque \"\n                    \"synchronisation : baisses, hausses et événements de vie \"\n                    \"de l'annonce apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"px_sens\", \"title\": \"Changements de loyer détectés\",\n                         \"kind\": \"donut\", \"items\": donut}]\n                       + ([{\"id\": \"px_events\",\n                            \"title\": \"Événements de vie des annonces (photos, \"\n                                     \"description, disponibilité…)\",\n                            \"kind\": \"bar\", \"items\": evs}] if evs else [])),\n    }\n\n\n# --- Panneau : court terme ------------------------------------------------------\ndef _panel_court_terme() -> dict | None:\n    con = _ro(\"louka_ct.db\")\n    if con is None:\n        return None\n    try:\n        tot, nsrc = con.execute(\n            \"SELECT COUNT(*), COUNT(DISTINCT source) FROM st_listings\"\n            \" WHERE active=1\").fetchone()\n        if not tot or tot < 100:\n            return None\n        prices = [r[0] for r in con.execute(\n            \"SELECT price_night FROM st_listings WHERE active=1\"\n            \" AND price_night > 20 AND price_night < 10000\")]\n        citq = con.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1\"\n                           \" AND citq IS NOT NULL AND citq<>''\").fetchone()[0]\n        rated = [r[0] for r in con.execute(\n            \"SELECT rating FROM st_listings WHERE active=1 AND rating IS NOT NULL\")]\n        byreg = {}\n        for r in con.execute(\n                \"SELECT region, price_night FROM st_listings WHERE active=1\"\n                \" AND region IS NOT NULL AND region<>'' AND price_night > 20\"\n                \" AND price_night < 10000\"):\n            byreg.setdefault(r[0], []).append(r[1])\n    finally:\n        con.close()\n\n    bars = sorted(([{\"label\": k, \"value\": round(median(v))}\n                    for k, v in byreg.items() if len(v) >= 100]),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"ct_n\", \"label\": \"Hébergements court terme actifs\", \"value\": tot},\n        {\"id\": \"ct_src\", \"label\": \"Plateformes agrégées\", \"value\": nsrc},\n        {\"id\": \"ct_px\", \"label\": \"Prix médian par nuit\",\n         \"value\": round(median(prices)) if prices else None, \"unit\": \"$\"},\n        {\"id\": \"ct_citq\", \"label\": \"Avec n° d'enregistrement CITQ\",\n         \"value\": _pctof(citq, tot), \"unit\": \"%\"},\n        {\"id\": \"ct_note\", \"label\": \"Note médiane des voyageurs\",\n         \"value\": round(median(rated), 2) if len(rated) >= 50 else None, \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"court_terme\",\n        \"title\": \"Court terme — chalets et hébergements à la nuit\",\n        \"subtitle\": \"La section Court terme agrège les plateformes de location \"\n                    \"de chalets et d'hébergements partout au Québec.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ct_reg\",\n                        \"title\": \"Prix médian par nuit selon la région \"\n                                 \"(min. 100 annonces)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\n# --- Panneau : gestionnaires (masqué tant que < 10 fiches Google notées) --------\ndef _panel_gestionnaires(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT name, gmaps_rating r, gmaps_reviews nrev FROM managers\"\n        \" WHERE gmaps_rating IS NOT NULL\").fetchall()\n    if len(rows) < 10:\n        return None\n    notes = [r[\"r\"] for r in rows]\n    kpis = [\n        {\"id\": \"mg_n\", \"label\": \"Gestionnaires répertoriés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM managers\")},\n        {\"id\": \"mg_fiche\", \"label\": \"Avec fiche Google notée\", \"value\": len(rows)},\n        {\"id\": \"mg_med\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(notes), 2), \"unit\": \"/5\"},\n        {\"id\": \"mg_avis\", \"label\": \"Avis cumulés\",\n         \"value\": sum(r[\"nrev\"] or 0 for r in rows)},\n    ]\n    top = sorted((r for r in rows if (r[\"nrev\"] or 0) >= 20),\n                 key=lambda r: -r[\"r\"])[:12]\n    table = {\"id\": \"mg_top\",\n             \"title\": \"Gestionnaires les mieux notés (min. 20 avis)\",\n             \"columns\": [\"Gestionnaire\", \"Note Google\", \"Avis\"],\n             \"rows\": [[r[\"name\"], f\"{r['r']:.1f}\", r[\"nrev\"]] for r in top]}\n    return {\n        \"id\": \"gestionnaires\",\n        \"title\": \"Gestionnaires immobiliers — réputation Google\",\n        \"subtitle\": \"Chaque gestionnaire agrégé est rapproché de sa fiche \"\n                    \"Google Maps : note et avis apparaissent sur ses annonces.\",\n        \"kpis\": kpis,\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : annuaire des déménageurs -----------------------------------------\ndef _panel_demenageurs() -> dict | None:\n    p = DATA / \"demenageurs.json\"\n    if not p.exists():\n        return None\n    doc = json.loads(p.read_text(encoding=\"utf-8\"))\n    movers = doc.get(\"movers\", [])\n    if len(movers) < 50:\n        return None\n    rated = [m[\"rating\"] for m in movers if m.get(\"rating\")]\n    byreg: dict[str, int] = {}\n    for m in movers:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"dem_n\", \"label\": \"Déménageurs répertoriés\", \"value\": len(movers)},\n        {\"id\": \"dem_reg\", \"label\": \"Régions couvertes\", \"value\": len(byreg)},\n        {\"id\": \"dem_web\", \"label\": \"Avec site web\",\n         \"value\": _pctof(sum(1 for m in movers if m.get(\"website\")), len(movers)),\n         \"unit\": \"%\"},\n        {\"id\": \"dem_note\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(rated), 1) if len(rated) >= 30 else None,\n         \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"annuaire_demenageurs\",\n        \"title\": \"Annuaire des déménageurs du Québec\",\n        \"subtitle\": \"L'annuaire complet des entreprises de déménagement de la \"\n                    \"province, présenté sur /demenageurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"dem_reg_bar\",\n                        \"title\": \"Déménageurs par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_kascores(con),\n               lambda: _panel_fairvalue(con),\n               lambda: _panel_historique(con),\n               _panel_court_terme,\n               lambda: _panel_gestionnaires(con),\n               _panel_demenageurs):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CrAHUjNSHdfoeY14LpZnLG","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b69132b8-460c-4b7c-812d-7b2896584d80","timestamp":"2026-08-25T00:25:04.204Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce que Lou-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, KA Scores,\n#       juste valeur, immeuble, photos) + couches de données branchées ;\n#     · KA Scores (piliers, distribution, villes) ;\n#     · Juste valeur (verdicts, écarts, villes surchauffées) ;\n#     · Historique des prix (baisses/hausses) + vie des annonces ;\n#     · Court terme (chalets et hébergements, CITQ, notes) ;\n#     · Gestionnaires (fiches Google, notes) — masqué tant que < 10 notés ;\n#     · Annuaire des déménageurs du Québec.\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\nACTIVE = \"active=1 AND published=1 AND dup_of IS NULL\"\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                     \"AND dauid IS NOT NULL AND dauid<>''\")\n    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))\n    fv = _n1(con, \"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid \"\n                  \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\")\n    bld = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND building_key IS NOT NULL AND building_key<>''\")\n    imgok = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} AND images_ok=1\")\n    compl = con.execute(\n        f\"SELECT ROUND(AVG(completeness),1) FROM listings WHERE {ACTIVE}\"\n    ).fetchone()[0]\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives publiées\", \"value\": tot},\n        {\"id\": \"enr_compl\", \"label\": \"Complétude moyenne\", \"value\": compl, \"unit\": \"%\"},\n        {\"id\": \"enr_bld\", \"label\": \"Immeubles au passeport\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM buildings\")},\n        {\"id\": \"enr_img\", \"label\": \"Photos vérifiées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_checks\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"KA Scores\", \"value\": _pctof(ks, tot)},\n        {\"label\": \"Juste valeur\", \"value\": _pctof(fv, tot)},\n        {\"label\": \"Immeuble rattaché\", \"value\": _pctof(bld, tot)},\n        {\"label\": \"Photos auditées OK\", \"value\": _pctof(imgok, tot)},\n    ]\n\n    # couches de données branchées sur la fiche (chaque ligne est optionnelle)\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc])\n        except Exception:\n            pass\n\n    layer(\"KA Scores\", lambda: _n1(con, \"SELECT COUNT(*) FROM kascores\"),\n          \"emplacements notés (marche, transit, vélo, calme, services)\")\n    layer(\"Juste valeur\", lambda: _n1(con, \"SELECT COUNT(*) FROM fairvalue\"),\n          \"évaluations de loyer (modèle comparables Lou-Ka)\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Immeubles\", lambda: _n1(con, \"SELECT COUNT(*) FROM buildings\"),\n          \"passeports d'immeuble (historique par adresse)\")\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\", \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\", \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Dossiers TAL\", lambda: _side(\"tal.db\", \"SELECT COUNT(*) FROM tal_lookup\"),\n          \"adresses vérifiées au Tribunal administratif du logement\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\", \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers réellement déclarés (Vivre en ville)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce que Lou-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque annonce agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, KA Scores, juste \"\n                    \"valeur, passeport d'immeuble, audit des photos et couches \"\n                    \"du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : KA Scores -------------------------------------------------------\ndef _panel_kascores(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT k.walk, k.transit, k.bike, k.calme, k.services, k.global, l.city\"\n        \" FROM listings l JOIN kascores k ON l.coord_key=k.coord_key\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND k.global IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    glob = [r[\"global\"] for r in rows]\n    kpis = [\n        {\"id\": \"ks_n\", \"label\": \"Fiches avec KA Scores\", \"value\": len(rows)},\n        {\"id\": \"ks_med\", \"label\": \"Score global médian\",\n         \"value\": round(median(glob), 1), \"unit\": \"/100\"},\n        {\"id\": \"ks_70\", \"label\": \"Score ≥ 70 (excellents secteurs)\",\n         \"value\": _pctof(sum(1 for g in glob if g >= 70), len(glob)), \"unit\": \"%\"},\n        {\"id\": \"ks_loc\", \"label\": \"Emplacements notés (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM kascores\")},\n    ]\n    piliers = [(\"walk\", \"Marche\"), (\"transit\", \"Transport\"), (\"bike\", \"Vélo\"),\n               (\"calme\", \"Calme\"), (\"services\", \"Services\")]\n    bars = []\n    for col, label in piliers:\n        vals = [r[col] for r in rows if r[col] is not None]\n        if vals:\n            bars.append({\"label\": label, \"value\": round(median(vals), 1)})\n\n    bins = []\n    for lo in range(0, 100, 10):\n        n = sum(1 for g in glob if lo <= g < lo + 10 or (lo == 90 and g == 100))\n        bins.append({\"label\": str(lo), \"value\": n})\n\n    byc: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(r[\"global\"])\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"ks_villes\",\n             \"title\": \"Meilleurs scores globaux par ville (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches notées\", \"Score global médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):.1f}\"] for c, v in top]}\n\n    return {\n        \"id\": \"kascores\",\n        \"title\": \"KA Scores — la qualité du secteur, chiffrée\",\n        \"subtitle\": \"Cinq piliers calculés sur données ouvertes (OSM, GTFS…) \"\n                    \"pour chaque emplacement : marche, transport, vélo, calme \"\n                    \"et services.\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"ks_piliers\",\n                        \"title\": \"Score médian par pilier (fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"distributions\": [{\"id\": \"ks_hist\",\n                           \"title\": \"Distribution du score global\",\n                           \"unit\": \"pts\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : juste valeur ----------------------------------------------------\ndef _panel_fairvalue(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT f.deviation, f.verdict, l.city FROM fairvalue f\"\n        \" JOIN listings l ON f.uid=l.uid\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND f.deviation IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    devs = [r[\"deviation\"] for r in rows]\n    # heuristique d'unité : fraction (0.08) vs pourcentage (8.0)\n    scale = 100.0 if median(abs(d) for d in devs) < 1.5 else 1.0\n    devs_pct = [d * scale for d in devs]\n\n    labels = {\"marche\": \"Prix du marché\", \"sous\": \"Sous le marché\",\n              \"sur\": \"Au-dessus du marché\"}\n    counts: dict[str, int] = {}\n    for r in rows:\n        if r[\"verdict\"]:\n            counts[labels.get(r[\"verdict\"], r[\"verdict\"])] = \\\n                counts.get(labels.get(r[\"verdict\"], r[\"verdict\"]), 0) + 1\n\n    kpis = [\n        {\"id\": \"fv_n\", \"label\": \"Loyers évalués (fiches actives)\", \"value\": len(rows)},\n        {\"id\": \"fv_med\", \"label\": \"Écart médian au loyer estimé\",\n         \"value\": round(median(devs_pct), 1), \"unit\": \"%\"},\n        {\"id\": \"fv_sur\", \"label\": \"Au-dessus du marché\",\n         \"value\": _pctof(counts.get(\"Au-dessus du marché\", 0), len(rows)), \"unit\": \"%\"},\n        {\"id\": \"fv_sous\", \"label\": \"Sous le marché (aubaines)\",\n         \"value\": _pctof(counts.get(\"Sous le marché\", 0), len(rows)), \"unit\": \"%\"},\n    ]\n\n    bins = []\n    lo = -40\n    while lo < 60:\n        n = sum(1 for d in devs_pct if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for r, d in zip(rows, devs_pct):\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"fv_villes\",\n             \"title\": \"Villes où les loyers affichés dépassent le plus la juste \"\n                      \"valeur (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches évaluées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"juste_valeur\",\n        \"title\": \"Juste valeur — le loyer affiché est-il le bon prix ?\",\n        \"subtitle\": \"Chaque fiche est comparée aux logements semblables du \"\n                    \"même secteur (modèle de comparables Lou-Ka).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"fv_verdicts\", \"title\": \"Verdicts de juste valeur\",\n                        \"kind\": \"donut\",\n                        \"items\": [{\"label\": k, \"value\": v}\n                                  for k, v in sorted(counts.items(),\n                                                     key=lambda kv: -kv[1])]}]\n                      if counts else [],\n        \"distributions\": [{\"id\": \"fv_hist\",\n                           \"title\": \"Distribution des écarts au loyer estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix & vie des annonces --------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    npts = len(rows)\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": npts},\n        {\"id\": \"px_chg\", \"label\": \"Annonces avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de loyer détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops), 1) if drops else None, \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n\n    ev_labels = {\"disparition\": \"Disparition\", \"reapparition\": \"Réapparition\",\n                 \"photos\": \"Photos modifiées\", \"description\": \"Description modifiée\",\n                 \"dispo\": \"Disponibilité modifiée\", \"inclusions\": \"Inclusions modifiées\",\n                 \"superficie\": \"Superficie modifiée\"}\n    evs = [{\"label\": ev_labels.get(r[\"event\"], r[\"event\"]), \"value\": r[\"n\"]}\n           for r in con.execute(\n               \"SELECT event, COUNT(*) n FROM listing_events GROUP BY event\"\n               \" ORDER BY n DESC\")]\n\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque loyer est suivi dans le temps\",\n        \"subtitle\": \"Lou-Ka consigne le loyer de chaque annonce à chaque \"\n                    \"synchronisation : baisses, hausses et événements de vie \"\n                    \"de l'annonce apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"px_sens\", \"title\": \"Changements de loyer détectés\",\n                         \"kind\": \"donut\", \"items\": donut}]\n                       + ([{\"id\": \"px_events\",\n                            \"title\": \"Événements de vie des annonces (photos, \"\n                                     \"description, disponibilité…)\",\n                            \"kind\": \"bar\", \"items\": evs}] if evs else [])),\n    }\n\n\n# --- Panneau : court terme ------------------------------------------------------\ndef _panel_court_terme() -> dict | None:\n    con = _ro(\"louka_ct.db\")\n    if con is None:\n        return None\n    try:\n        tot, nsrc = con.execute(\n            \"SELECT COUNT(*), COUNT(DISTINCT source) FROM st_listings\"\n            \" WHERE active=1\").fetchone()\n        if not tot or tot < 100:\n            return None\n        prices = [r[0] for r in con.execute(\n            \"SELECT price_night FROM st_listings WHERE active=1\"\n            \" AND price_night > 20 AND price_night < 10000\")]\n        citq = con.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1\"\n                           \" AND citq IS NOT NULL AND citq<>''\").fetchone()[0]\n        rated = [r[0] for r in con.execute(\n            \"SELECT rating FROM st_listings WHERE active=1 AND rating IS NOT NULL\")]\n        byreg = {}\n        for r in con.execute(\n                \"SELECT region, price_night FROM st_listings WHERE active=1\"\n                \" AND region IS NOT NULL AND region<>'' AND price_night > 20\"\n                \" AND price_night < 10000\"):\n            byreg.setdefault(r[0], []).append(r[1])\n    finally:\n        con.close()\n\n    bars = sorted(([{\"label\": k, \"value\": round(median(v))}\n                    for k, v in byreg.items() if len(v) >= 100]),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"ct_n\", \"label\": \"Hébergements court terme actifs\", \"value\": tot},\n        {\"id\": \"ct_src\", \"label\": \"Plateformes agrégées\", \"value\": nsrc},\n        {\"id\": \"ct_px\", \"label\": \"Prix médian par nuit\",\n         \"value\": round(median(prices)) if prices else None, \"unit\": \"$\"},\n        {\"id\": \"ct_citq\", \"label\": \"Avec n° d'enregistrement CITQ\",\n         \"value\": _pctof(citq, tot), \"unit\": \"%\"},\n        {\"id\": \"ct_note\", \"label\": \"Note médiane des voyageurs\",\n         \"value\": round(median(rated), 2) if len(rated) >= 50 else None, \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"court_terme\",\n        \"title\": \"Court terme — chalets et hébergements à la nuit\",\n        \"subtitle\": \"La section Court terme agrège les plateformes de location \"\n                    \"de chalets et d'hébergements partout au Québec.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ct_reg\",\n                        \"title\": \"Prix médian par nuit selon la région \"\n                                 \"(min. 100 annonces)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\n# --- Panneau : gestionnaires (masqué tant que < 10 fiches Google notées) --------\ndef _panel_gestionnaires(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT name, gmaps_rating r, gmaps_reviews nrev FROM managers\"\n        \" WHERE gmaps_rating IS NOT NULL\").fetchall()\n    if len(rows) < 10:\n        return None\n    notes = [r[\"r\"] for r in rows]\n    kpis = [\n        {\"id\": \"mg_n\", \"label\": \"Gestionnaires répertoriés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM managers\")},\n        {\"id\": \"mg_fiche\", \"label\": \"Avec fiche Google notée\", \"value\": len(rows)},\n        {\"id\": \"mg_med\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(notes), 2), \"unit\": \"/5\"},\n        {\"id\": \"mg_avis\", \"label\": \"Avis cumulés\",\n         \"value\": sum(r[\"nrev\"] or 0 for r in rows)},\n    ]\n    top = sorted((r for r in rows if (r[\"nrev\"] or 0) >= 20),\n                 key=lambda r: -r[\"r\"])[:12]\n    table = {\"id\": \"mg_top\",\n             \"title\": \"Gestionnaires les mieux notés (min. 20 avis)\",\n             \"columns\": [\"Gestionnaire\", \"Note Google\", \"Avis\"],\n             \"rows\": [[r[\"name\"], f\"{r['r']:.1f}\", r[\"nrev\"]] for r in top]}\n    return {\n        \"id\": \"gestionnaires\",\n        \"title\": \"Gestionnaires immobiliers — réputation Google\",\n        \"subtitle\": \"Chaque gestionnaire agrégé est rapproché de sa fiche \"\n                    \"Google Maps : note et avis apparaissent sur ses annonces.\",\n        \"kpis\": kpis,\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : annuaire des déménageurs -----------------------------------------\ndef _panel_demenageurs() -> dict | None:\n    p = DATA / \"demenageurs.json\"\n    if not p.exists():\n        return None\n    doc = json.loads(p.read_text(encoding=\"utf-8\"))\n    movers = doc.get(\"movers\", [])\n    if len(movers) < 50:\n        return None\n    rated = [m[\"rating\"] for m in movers if m.get(\"rating\")]\n    byreg: dict[str, int] = {}\n    for m in movers:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"dem_n\", \"label\": \"Déménageurs répertoriés\", \"value\": len(movers)},\n        {\"id\": \"dem_reg\", \"label\": \"Régions couvertes\", \"value\": len(byreg)},\n        {\"id\": \"dem_web\", \"label\": \"Avec site web\",\n         \"value\": _pctof(sum(1 for m in movers if m.get(\"website\")), len(movers)),\n         \"unit\": \"%\"},\n        {\"id\": \"dem_note\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(rated), 1) if len(rated) >= 30 else None,\n         \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"annuaire_demenageurs\",\n        \"title\": \"Annuaire des déménageurs du Québec\",\n        \"subtitle\": \"L'annuaire complet des entreprises de déménagement de la \"\n                    \"province, présenté sur /demenageurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"dem_reg_bar\",\n                        \"title\": \"Déménageurs par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_kascores(con),\n               lambda: _panel_fairvalue(con),\n               lambda: _panel_historique(con),\n               _panel_court_terme,\n               lambda: _panel_gestionnaires(con),\n               _panel_demenageurs):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWsB6xsMAYkFtBvbzrE","type":"message","role":"assistant","content":[{"type":"text","text":"Je corrige une expression maladroite dans le panneau enrichissement (jointure KA Scores), puis j'écris le module Immo-Ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":476,"cache_creation_input_tokens":12468,"cache_read_input_tokens":181842,"cache_creation":{"ephemeral_5m_input_tokens":12468,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0a58c66a-56af-4a25-8fdf-58f55ac2f2da","request_id":"req_011CeNWs8oZ4ymNQWaucnSbr"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWsB6xsMAYkFtBvbzrE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013adNnn31NzeDGZThDd9vLS","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","old_string":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))","new_string":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k\"\n                  \" ON l.coord_key=k.coord_key WHERE l.active=1\"\n                  \" AND l.published=1 AND l.dup_of IS NULL\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":476,"cache_creation_input_tokens":12468,"cache_read_input_tokens":181842,"cache_creation":{"ephemeral_5m_input_tokens":12468,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"38d49ff4-53eb-48c0-bf25-d99b89e127a3","request_id":"req_011CeNWs8oZ4ymNQWaucnSbr"}}
{"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","old_string":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))","new_string":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k\"\n                  \" ON l.coord_key=k.coord_key WHERE l.active=1\"\n                  \" AND l.published=1 AND l.dup_of IS NULL\")","replace_all":false}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWsB6xsMAYkFtBvbzrE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ACudHm8GGN3tX3eKvDSHfx","name":"TaskUpdate","input":{"taskId":"6","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":476,"cache_creation_input_tokens":12468,"cache_read_input_tokens":181842,"cache_creation":{"ephemeral_5m_input_tokens":12468,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bf9af05c-0010-4eac-bfeb-4c5207b88b35","request_id":"req_011CeNWs8oZ4ymNQWaucnSbr"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013adNnn31NzeDGZThDd9vLS","type":"tool_result","content":"The file /Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a7e8c4e7-453a-4b29-b805-4657a5b6a0a7","timestamp":"2026-08-25T00:25:13.908Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/louka_statsfiche.py","oldString":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))","newString":"    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k\"\n                  \" ON l.coord_key=k.coord_key WHERE l.active=1\"\n                  \" AND l.published=1 AND l.dup_of IS NULL\")","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce que Lou-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, KA Scores,\n#       juste valeur, immeuble, photos) + couches de données branchées ;\n#     · KA Scores (piliers, distribution, villes) ;\n#     · Juste valeur (verdicts, écarts, villes surchauffées) ;\n#     · Historique des prix (baisses/hausses) + vie des annonces ;\n#     · Court terme (chalets et hébergements, CITQ, notes) ;\n#     · Gestionnaires (fiches Google, notes) — masqué tant que < 10 notés ;\n#     · Annuaire des déménageurs du Québec.\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\nACTIVE = \"active=1 AND published=1 AND dup_of IS NULL\"\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                     \"AND dauid IS NOT NULL AND dauid<>''\")\n    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"\n                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"\n             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",\n                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))\n    fv = _n1(con, \"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid \"\n                  \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\")\n    bld = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"\n                   \"AND building_key IS NOT NULL AND building_key<>''\")\n    imgok = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} AND images_ok=1\")\n    compl = con.execute(\n        f\"SELECT ROUND(AVG(completeness),1) FROM listings WHERE {ACTIVE}\"\n    ).fetchone()[0]\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives publiées\", \"value\": tot},\n        {\"id\": \"enr_compl\", \"label\": \"Complétude moyenne\", \"value\": compl, \"unit\": \"%\"},\n        {\"id\": \"enr_bld\", \"label\": \"Immeubles au passeport\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM buildings\")},\n        {\"id\": \"enr_img\", \"label\": \"Photos vérifiées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_checks\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"KA Scores\", \"value\": _pctof(ks, tot)},\n        {\"label\": \"Juste valeur\", \"value\": _pctof(fv, tot)},\n        {\"label\": \"Immeuble rattaché\", \"value\": _pctof(bld, tot)},\n        {\"label\": \"Photos auditées OK\", \"value\": _pctof(imgok, tot)},\n    ]\n\n    # couches de données branchées sur la fiche (chaque ligne est optionnelle)\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc])\n        except Exception:\n            pass\n\n    layer(\"KA Scores\", lambda: _n1(con, \"SELECT COUNT(*) FROM kascores\"),\n          \"emplacements notés (marche, transit, vélo, calme, services)\")\n    layer(\"Juste valeur\", lambda: _n1(con, \"SELECT COUNT(*) FROM fairvalue\"),\n          \"évaluations de loyer (modèle comparables Lou-Ka)\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Immeubles\", lambda: _n1(con, \"SELECT COUNT(*) FROM buildings\"),\n          \"passeports d'immeuble (historique par adresse)\")\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\", \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\", \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Dossiers TAL\", lambda: _side(\"tal.db\", \"SELECT COUNT(*) FROM tal_lookup\"),\n          \"adresses vérifiées au Tribunal administratif du logement\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\", \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers réellement déclarés (Vivre en ville)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce que Lou-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque annonce agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, KA Scores, juste \"\n                    \"valeur, passeport d'immeuble, audit des photos et couches \"\n                    \"du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : KA Scores -------------------------------------------------------\ndef _panel_kascores(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT k.walk, k.transit, k.bike, k.calme, k.services, k.global, l.city\"\n        \" FROM listings l JOIN kascores k ON l.coord_key=k.coord_key\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND k.global IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    glob = [r[\"global\"] for r in rows]\n    kpis = [\n        {\"id\": \"ks_n\", \"label\": \"Fiches avec KA Scores\", \"value\": len(rows)},\n        {\"id\": \"ks_med\", \"label\": \"Score global médian\",\n         \"value\": round(median(glob), 1), \"unit\": \"/100\"},\n        {\"id\": \"ks_70\", \"label\": \"Score ≥ 70 (excellents secteurs)\",\n         \"value\": _pctof(sum(1 for g in glob if g >= 70), len(glob)), \"unit\": \"%\"},\n        {\"id\": \"ks_loc\", \"label\": \"Emplacements notés (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM kascores\")},\n    ]\n    piliers = [(\"walk\", \"Marche\"), (\"transit\", \"Transport\"), (\"bike\", \"Vélo\"),\n               (\"calme\", \"Calme\"), (\"services\", \"Services\")]\n    bars = []\n    for col, label in piliers:\n        vals = [r[col] for r in rows if r[col] is not None]\n        if vals:\n            bars.append({\"label\": label, \"value\": round(median(vals), 1)})\n\n    bins = []\n    for lo in range(0, 100, 10):\n        n = sum(1 for g in glob if lo <= g < lo + 10 or (lo == 90 and g == 100))\n        bins.append({\"label\": str(lo), \"value\": n})\n\n    byc: dict[str, list[float]] = {}\n    for r in rows:\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(r[\"global\"])\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"ks_villes\",\n             \"title\": \"Meilleurs scores globaux par ville (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches notées\", \"Score global médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):.1f}\"] for c, v in top]}\n\n    return {\n        \"id\": \"kascores\",\n        \"title\": \"KA Scores — la qualité du secteur, chiffrée\",\n        \"subtitle\": \"Cinq piliers calculés sur données ouvertes (OSM, GTFS…) \"\n                    \"pour chaque emplacement : marche, transport, vélo, calme \"\n                    \"et services.\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"ks_piliers\",\n                        \"title\": \"Score médian par pilier (fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n        \"distributions\": [{\"id\": \"ks_hist\",\n                           \"title\": \"Distribution du score global\",\n                           \"unit\": \"pts\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : juste valeur ----------------------------------------------------\ndef _panel_fairvalue(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT f.deviation, f.verdict, l.city FROM fairvalue f\"\n        \" JOIN listings l ON f.uid=l.uid\"\n        \" WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"\n        \" AND f.deviation IS NOT NULL\").fetchall()\n    if len(rows) < 100:\n        return None\n    devs = [r[\"deviation\"] for r in rows]\n    # heuristique d'unité : fraction (0.08) vs pourcentage (8.0)\n    scale = 100.0 if median(abs(d) for d in devs) < 1.5 else 1.0\n    devs_pct = [d * scale for d in devs]\n\n    labels = {\"marche\": \"Prix du marché\", \"sous\": \"Sous le marché\",\n              \"sur\": \"Au-dessus du marché\"}\n    counts: dict[str, int] = {}\n    for r in rows:\n        if r[\"verdict\"]:\n            counts[labels.get(r[\"verdict\"], r[\"verdict\"])] = \\\n                counts.get(labels.get(r[\"verdict\"], r[\"verdict\"]), 0) + 1\n\n    kpis = [\n        {\"id\": \"fv_n\", \"label\": \"Loyers évalués (fiches actives)\", \"value\": len(rows)},\n        {\"id\": \"fv_med\", \"label\": \"Écart médian au loyer estimé\",\n         \"value\": round(median(devs_pct), 1), \"unit\": \"%\"},\n        {\"id\": \"fv_sur\", \"label\": \"Au-dessus du marché\",\n         \"value\": _pctof(counts.get(\"Au-dessus du marché\", 0), len(rows)), \"unit\": \"%\"},\n        {\"id\": \"fv_sous\", \"label\": \"Sous le marché (aubaines)\",\n         \"value\": _pctof(counts.get(\"Sous le marché\", 0), len(rows)), \"unit\": \"%\"},\n    ]\n\n    bins = []\n    lo = -40\n    while lo < 60:\n        n = sum(1 for d in devs_pct if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for r, d in zip(rows, devs_pct):\n        if r[\"city\"]:\n            byc.setdefault(r[\"city\"], []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 30),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"fv_villes\",\n             \"title\": \"Villes où les loyers affichés dépassent le plus la juste \"\n                      \"valeur (min. 30 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches évaluées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"juste_valeur\",\n        \"title\": \"Juste valeur — le loyer affiché est-il le bon prix ?\",\n        \"subtitle\": \"Chaque fiche est comparée aux logements semblables du \"\n                    \"même secteur (modèle de comparables Lou-Ka).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"fv_verdicts\", \"title\": \"Verdicts de juste valeur\",\n                        \"kind\": \"donut\",\n                        \"items\": [{\"label\": k, \"value\": v}\n                                  for k, v in sorted(counts.items(),\n                                                     key=lambda kv: -kv[1])]}]\n                      if counts else [],\n        \"distributions\": [{\"id\": \"fv_hist\",\n                           \"title\": \"Distribution des écarts au loyer estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix & vie des annonces --------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    npts = len(rows)\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": npts},\n        {\"id\": \"px_chg\", \"label\": \"Annonces avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de loyer détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops), 1) if drops else None, \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n\n    ev_labels = {\"disparition\": \"Disparition\", \"reapparition\": \"Réapparition\",\n                 \"photos\": \"Photos modifiées\", \"description\": \"Description modifiée\",\n                 \"dispo\": \"Disponibilité modifiée\", \"inclusions\": \"Inclusions modifiées\",\n                 \"superficie\": \"Superficie modifiée\"}\n    evs = [{\"label\": ev_labels.get(r[\"event\"], r[\"event\"]), \"value\": r[\"n\"]}\n           for r in con.execute(\n               \"SELECT event, COUNT(*) n FROM listing_events GROUP BY event\"\n               \" ORDER BY n DESC\")]\n\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque loyer est suivi dans le temps\",\n        \"subtitle\": \"Lou-Ka consigne le loyer de chaque annonce à chaque \"\n                    \"synchronisation : baisses, hausses et événements de vie \"\n                    \"de l'annonce apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"px_sens\", \"title\": \"Changements de loyer détectés\",\n                         \"kind\": \"donut\", \"items\": donut}]\n                       + ([{\"id\": \"px_events\",\n                            \"title\": \"Événements de vie des annonces (photos, \"\n                                     \"description, disponibilité…)\",\n                            \"kind\": \"bar\", \"items\": evs}] if evs else [])),\n    }\n\n\n# --- Panneau : court terme ------------------------------------------------------\ndef _panel_court_terme() -> dict | None:\n    con = _ro(\"louka_ct.db\")\n    if con is None:\n        return None\n    try:\n        tot, nsrc = con.execute(\n            \"SELECT COUNT(*), COUNT(DISTINCT source) FROM st_listings\"\n            \" WHERE active=1\").fetchone()\n        if not tot or tot < 100:\n            return None\n        prices = [r[0] for r in con.execute(\n            \"SELECT price_night FROM st_listings WHERE active=1\"\n            \" AND price_night > 20 AND price_night < 10000\")]\n        citq = con.execute(\"SELECT COUNT(*) FROM st_listings WHERE active=1\"\n                           \" AND citq IS NOT NULL AND citq<>''\").fetchone()[0]\n        rated = [r[0] for r in con.execute(\n            \"SELECT rating FROM st_listings WHERE active=1 AND rating IS NOT NULL\")]\n        byreg = {}\n        for r in con.execute(\n                \"SELECT region, price_night FROM st_listings WHERE active=1\"\n                \" AND region IS NOT NULL AND region<>'' AND price_night > 20\"\n                \" AND price_night < 10000\"):\n            byreg.setdefault(r[0], []).append(r[1])\n    finally:\n        con.close()\n\n    bars = sorted(([{\"label\": k, \"value\": round(median(v))}\n                    for k, v in byreg.items() if len(v) >= 100]),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"ct_n\", \"label\": \"Hébergements court terme actifs\", \"value\": tot},\n        {\"id\": \"ct_src\", \"label\": \"Plateformes agrégées\", \"value\": nsrc},\n        {\"id\": \"ct_px\", \"label\": \"Prix médian par nuit\",\n         \"value\": round(median(prices)) if prices else None, \"unit\": \"$\"},\n        {\"id\": \"ct_citq\", \"label\": \"Avec n° d'enregistrement CITQ\",\n         \"value\": _pctof(citq, tot), \"unit\": \"%\"},\n        {\"id\": \"ct_note\", \"label\": \"Note médiane des voyageurs\",\n         \"value\": round(median(rated), 2) if len(rated) >= 50 else None, \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"court_terme\",\n        \"title\": \"Court terme — chalets et hébergements à la nuit\",\n        \"subtitle\": \"La section Court terme agrège les plateformes de location \"\n                    \"de chalets et d'hébergements partout au Québec.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ct_reg\",\n                        \"title\": \"Prix médian par nuit selon la région \"\n                                 \"(min. 100 annonces)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\n# --- Panneau : gestionnaires (masqué tant que < 10 fiches Google notées) --------\ndef _panel_gestionnaires(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT name, gmaps_rating r, gmaps_reviews nrev FROM managers\"\n        \" WHERE gmaps_rating IS NOT NULL\").fetchall()\n    if len(rows) < 10:\n        return None\n    notes = [r[\"r\"] for r in rows]\n    kpis = [\n        {\"id\": \"mg_n\", \"label\": \"Gestionnaires répertoriés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM managers\")},\n        {\"id\": \"mg_fiche\", \"label\": \"Avec fiche Google notée\", \"value\": len(rows)},\n        {\"id\": \"mg_med\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(notes), 2), \"unit\": \"/5\"},\n        {\"id\": \"mg_avis\", \"label\": \"Avis cumulés\",\n         \"value\": sum(r[\"nrev\"] or 0 for r in rows)},\n    ]\n    top = sorted((r for r in rows if (r[\"nrev\"] or 0) >= 20),\n                 key=lambda r: -r[\"r\"])[:12]\n    table = {\"id\": \"mg_top\",\n             \"title\": \"Gestionnaires les mieux notés (min. 20 avis)\",\n             \"columns\": [\"Gestionnaire\", \"Note Google\", \"Avis\"],\n             \"rows\": [[r[\"name\"], f\"{r['r']:.1f}\", r[\"nrev\"]] for r in top]}\n    return {\n        \"id\": \"gestionnaires\",\n        \"title\": \"Gestionnaires immobiliers — réputation Google\",\n        \"subtitle\": \"Chaque gestionnaire agrégé est rapproché de sa fiche \"\n                    \"Google Maps : note et avis apparaissent sur ses annonces.\",\n        \"kpis\": kpis,\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : annuaire des déménageurs -----------------------------------------\ndef _panel_demenageurs() -> dict | None:\n    p = DATA / \"demenageurs.json\"\n    if not p.exists():\n        return None\n    doc = json.loads(p.read_text(encoding=\"utf-8\"))\n    movers = doc.get(\"movers\", [])\n    if len(movers) < 50:\n        return None\n    rated = [m[\"rating\"] for m in movers if m.get(\"rating\")]\n    byreg: dict[str, int] = {}\n    for m in movers:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    kpis = [\n        {\"id\": \"dem_n\", \"label\": \"Déménageurs répertoriés\", \"value\": len(movers)},\n        {\"id\": \"dem_reg\", \"label\": \"Régions couvertes\", \"value\": len(byreg)},\n        {\"id\": \"dem_web\", \"label\": \"Avec site web\",\n         \"value\": _pctof(sum(1 for m in movers if m.get(\"website\")), len(movers)),\n         \"unit\": \"%\"},\n        {\"id\": \"dem_note\", \"label\": \"Note Google médiane\",\n         \"value\": round(median(rated), 1) if len(rated) >= 30 else None,\n         \"unit\": \"/5\"},\n    ]\n    return {\n        \"id\": \"annuaire_demenageurs\",\n        \"title\": \"Annuaire des déménageurs du Québec\",\n        \"subtitle\": \"L'annuaire complet des entreprises de déménagement de la \"\n                    \"province, présenté sur /demenageurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"dem_reg_bar\",\n                        \"title\": \"Déménageurs par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_kascores(con),\n               lambda: _panel_fairvalue(con),\n               lambda: _panel_historique(con),\n               _panel_court_terme,\n               lambda: _panel_gestionnaires(con),\n               _panel_demenageurs):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n","structuredPatch":[{"oldStart":61,"oldLines":10,"newStart":61,"newLines":9,"lines":["                    \"AND lat IS NOT NULL AND lng IS NOT NULL\")","     quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \"","                      \"AND dauid IS NOT NULL AND dauid<>''\")","-    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k \"","-                  f\"ON l.coord_key=k.coord_key WHERE l.{ACTIVE.replace('active', 'active').replace('published', 'published')}\"","-             .replace(\"WHERE l.active=1 AND published=1 AND dup_of IS NULL\",","-                      \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\"))","+    ks = _n1(con, \"SELECT COUNT(*) FROM listings l JOIN kascores k\"","+                  \" ON l.coord_key=k.coord_key WHERE l.active=1\"","+                  \" AND l.published=1 AND l.dup_of IS NULL\")","     fv = _n1(con, \"SELECT COUNT(*) FROM fairvalue f JOIN listings l ON f.uid=l.uid \"","                   \"WHERE l.active=1 AND l.published=1 AND l.dup_of IS NULL\")","     bld = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {ACTIVE} \""]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ACudHm8GGN3tX3eKvDSHfx","type":"tool_result","content":"Updated task #6 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"829d877a-1cbe-4dd8-8304-2218d232ac20","timestamp":"2026-08-25T00:25:13.918Z","tool_use_result":{"success":true,"taskId":"6","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f917d191-adf2-4d63-aead-6a1003f4b458","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWsu183Vc2D8oGZFyfc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CfATphyQBnuL8br9tbVxrt","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/immoka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce qu'Immo-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, Vrai-Prix,\n#       caractéristiques, audit photos) + couches de données branchées ;\n#     · Vrai-Prix (écarts prix demandé vs estimation, verdicts, villes) ;\n#     · Historique des prix (baisses/hausses) ;\n#     · Taux hypothécaires (meilleurs taux réels multibanques) ;\n#     · Annuaires (déménageurs et inspecteurs en bâtiment).\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _active_where(con) -> str:\n    cols = {r[1] for r in con.execute(\"PRAGMA table_info(listings)\")}\n    w = \"active=1\"\n    if \"dup_hidden\" in cols:\n        w += \" AND (dup_hidden IS NULL OR dup_hidden=0)\"\n    return w\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    W = _active_where(con)\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                   \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND dauid IS NOT NULL AND dauid<>''\")\n    vp = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                  \" AND vraiprix LIKE '%estimation%'\")\n    annee = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND year_built IS NOT NULL AND year_built > 1600\")\n    sqft = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND area_sqft IS NOT NULL AND area_sqft > 0\")\n    desc = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND description IS NOT NULL AND LENGTH(description) > 80\")\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives\", \"value\": tot},\n        {\"id\": \"enr_vp\", \"label\": \"Avec estimation Vrai-Prix\",\n         \"value\": _pctof(vp, tot), \"unit\": \"%\"},\n        {\"id\": \"enr_img\", \"label\": \"Photos auditées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_audit\")},\n        {\"id\": \"enr_px\", \"label\": \"Points de prix consignés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM price_log\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"Estimation Vrai-Prix\", \"value\": _pctof(vp, tot)},\n        {\"label\": \"Année de construction\", \"value\": _pctof(annee, tot)},\n        {\"label\": \"Superficie habitable\", \"value\": _pctof(sqft, tot)},\n        {\"label\": \"Description détaillée\", \"value\": _pctof(desc, tot)},\n    ]\n\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc_: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc_])\n        except Exception:\n            pass\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Vrai-Prix\", lambda: vp, \"estimations de valeur marchande sur les fiches actives\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Audit des photos\", lambda: _n1(con, \"SELECT COUNT(*) FROM image_audit\"),\n          \"images vérifiées (dimension, poids, disponibilité)\")\n    layer(\"Taux hypothécaires\", lambda: _side(\"mortgage.db\",\n          \"SELECT COUNT(*) FROM rate_observations\"),\n          \"produits hypothécaires suivis en continu (multibanques)\")\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\",\n          \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\",\n          \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\",\n          \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers déclarés (contexte locatif des plex)\")\n\n    def _annuaire(f: str) -> int:\n        p = DATA / f\n        return len(json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])) if p.exists() else 0\n\n    layer(\"Annuaire des déménageurs\", lambda: _annuaire(\"demenageurs.json\"),\n          \"entreprises de déménagement répertoriées (/demenageurs)\")\n    layer(\"Annuaire des inspecteurs\", lambda: _annuaire(\"inspecteurs.json\"),\n          \"inspecteurs en bâtiment répertoriés (/inspecteurs)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce qu'Immo-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque propriété agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, estimation Vrai-Prix, \"\n                    \"audit des photos et couches du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : Vrai-Prix ---------------------------------------------------------\ndef _panel_vraiprix(con) -> dict | None:\n    W = _active_where(con)\n    rows = con.execute(\n        f\"SELECT price, CAST(json_extract(vraiprix, '$.value') AS REAL) vp, city\"\n        f\" FROM listings WHERE {W} AND vraiprix LIKE '%estimation%'\"\n        f\" AND price > 10000\").fetchall()\n    deltas: list[tuple[float, str]] = []\n    for r in rows:\n        if r[\"vp\"] and r[\"vp\"] > 0:\n            d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n            if -80.0 <= d <= 300.0:\n                deltas.append((d, r[\"city\"] or \"\"))\n    if len(deltas) < 100:\n        return None\n    ds = [d for d, _ in deltas]\n    sur = sum(1 for d in ds if d > 10)\n    juste = sum(1 for d in ds if -5 <= d <= 10)\n    sous = sum(1 for d in ds if d < -5)\n\n    kpis = [\n        {\"id\": \"vp_n\", \"label\": \"Propriétés avec estimation\", \"value\": len(ds)},\n        {\"id\": \"vp_med\", \"label\": \"Écart médian demandé vs estimé\",\n         \"value\": round(median(ds), 1), \"unit\": \"%\"},\n        {\"id\": \"vp_sur\", \"label\": \"Au-dessus de l'estimation (> +10 %)\",\n         \"value\": _pctof(sur, len(ds)), \"unit\": \"%\"},\n        {\"id\": \"vp_juste\", \"label\": \"Prix juste (−5 % à +10 %)\",\n         \"value\": _pctof(juste, len(ds)), \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Au-dessus (> +10 %)\", \"value\": sur},\n             {\"label\": \"Prix juste (−5 à +10 %)\", \"value\": juste},\n             {\"label\": \"Sous l'estimation (< −5 %)\", \"value\": sous}]\n\n    bins = []\n    lo = -40\n    while lo < 80:\n        n = sum(1 for d in ds if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for d, c in deltas:\n        if c:\n            byc.setdefault(c, []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 50),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"vp_villes\",\n             \"title\": \"Villes où les prix demandés dépassent le plus \"\n                      \"l'estimation (min. 50 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches estimées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"vraiprix\",\n        \"title\": \"Vrai-Prix — le prix demandé est-il le bon prix ?\",\n        \"subtitle\": \"Chaque propriété est comparée à son estimation Vrai-Prix \"\n                    \"(modèle d'évaluation du Groupe KA).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"vp_verdicts\",\n                        \"title\": \"Prix demandé vs estimation Vrai-Prix\",\n                        \"kind\": \"donut\", \"items\": donut}],\n        \"distributions\": [{\"id\": \"vp_hist\",\n                           \"title\": \"Distribution des écarts demandé vs estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix -----------------------------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    drops_abs: list[float] = []\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                if pct < 0:\n                    drops_abs.append(prev_price - r[\"price\"])\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": len(rows)},\n        {\"id\": \"px_chg\", \"label\": \"Propriétés avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de prix détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops_abs)) if drops_abs else None, \"unit\": \"$\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque propriété est suivie dans le temps\",\n        \"subtitle\": \"Immo-Ka consigne le prix demandé à chaque synchronisation : \"\n                    \"les baisses et hausses apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"px_sens\", \"title\": \"Changements de prix détectés\",\n                        \"kind\": \"donut\", \"items\": donut}],\n    }\n\n\n# --- Panneau : taux hypothécaires -------------------------------------------------\ndef _panel_hypotheques() -> dict | None:\n    con = _ro(\"mortgage.db\")\n    if con is None:\n        return None\n    try:\n        rows = con.execute(\n            \"SELECT institution, product_name, rate_type, term_months, kind,\"\n            \" rate FROM rate_observations WHERE rate IS NOT NULL\"\n            \" AND (valid_to IS NULL OR valid_to = '')\").fetchall()\n        if not rows:\n            rows = con.execute(\n                \"SELECT institution, product_name, rate_type, term_months,\"\n                \" kind, rate FROM rate_observations\"\n                \" WHERE rate IS NOT NULL\").fetchall()\n    finally:\n        con.close()\n    if len(rows) < 20:\n        return None\n\n    inst = {r[\"institution\"] for r in rows}\n    f5 = [r for r in rows if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] == 60]\n    v5 = [r for r in rows if r[\"rate_type\"] in (\"variable\", \"adjustable\")\n          and r[\"term_months\"] == 60]\n    best_f5 = min(f5, key=lambda r: r[\"rate\"]) if f5 else None\n    best_v5 = min(v5, key=lambda r: r[\"rate\"]) if v5 else None\n\n    kpis = [\n        {\"id\": \"mt_prod\", \"label\": \"Produits hypothécaires suivis\", \"value\": len(rows)},\n        {\"id\": \"mt_inst\", \"label\": \"Institutions financières\", \"value\": len(inst)},\n        {\"id\": \"mt_f5\", \"label\": \"Meilleur 5 ans fixe\",\n         \"value\": round(best_f5[\"rate\"], 2) if best_f5 else None, \"unit\": \"%\"},\n        {\"id\": \"mt_v5\", \"label\": \"Meilleur 5 ans variable\",\n         \"value\": round(best_v5[\"rate\"], 2) if best_v5 else None, \"unit\": \"%\"},\n    ]\n\n    best_by_inst: dict[str, float] = {}\n    for r in f5:\n        cur = best_by_inst.get(r[\"institution\"])\n        if cur is None or r[\"rate\"] < cur:\n            best_by_inst[r[\"institution\"]] = r[\"rate\"]\n    bars = sorted(({\"label\": k, \"value\": round(v, 2)}\n                   for k, v in best_by_inst.items()),\n                  key=lambda x: x[\"value\"])[:12]\n\n    byterm: dict[int, list[float]] = {}\n    for r in rows:\n        if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] in (12, 24, 36, 48, 60, 84, 120):\n            byterm.setdefault(r[\"term_months\"], []).append(r[\"rate\"])\n    tbars = [{\"label\": f\"{t // 12} an{'s' if t >= 24 else ''}\",\n              \"value\": round(min(v), 2)}\n             for t, v in sorted(byterm.items())]\n\n    return {\n        \"id\": \"hypotheques\",\n        \"title\": \"Taux hypothécaires — collecte réelle multibanques\",\n        \"subtitle\": \"Les taux publiés par les institutions sont collectés en \"\n                    \"continu et alimentent le calculateur des fiches \"\n                    \"(/taux-hypothecaires).\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"mt_inst_bar\",\n                         \"title\": \"Meilleur taux fixe 5 ans par institution (%)\",\n                         \"kind\": \"bar\", \"items\": bars}] if bars else [])\n                      + ([{\"id\": \"mt_terms\",\n                           \"title\": \"Meilleur taux fixe par terme (%)\",\n                           \"kind\": \"bar\", \"items\": tbars}] if tbars else []),\n    }\n\n\n# --- Panneau : annuaires (déménageurs + inspecteurs) ------------------------------\ndef _panel_annuaires() -> dict | None:\n    def _load(f: str) -> list[dict]:\n        p = DATA / f\n        if not p.exists():\n            return []\n        return json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])\n\n    dem = _load(\"demenageurs.json\")\n    insp = _load(\"inspecteurs.json\")\n    if len(dem) + len(insp) < 50:\n        return None\n\n    def _note(entries: list[dict]) -> float | None:\n        rated = [m[\"rating\"] for m in entries if m.get(\"rating\")]\n        return round(median(rated), 1) if len(rated) >= 30 else None\n\n    kpis = [\n        {\"id\": \"ann_dem\", \"label\": \"Déménageurs répertoriés\", \"value\": len(dem) or None},\n        {\"id\": \"ann_insp\", \"label\": \"Inspecteurs en bâtiment\", \"value\": len(insp) or None},\n        {\"id\": \"ann_dnote\", \"label\": \"Note médiane — déménageurs\",\n         \"value\": _note(dem), \"unit\": \"/5\"},\n        {\"id\": \"ann_inote\", \"label\": \"Note médiane — inspecteurs\",\n         \"value\": _note(insp), \"unit\": \"/5\"},\n    ]\n    byreg: dict[str, int] = {}\n    for m in insp:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    return {\n        \"id\": \"annuaires\",\n        \"title\": \"Annuaires — déménageurs et inspecteurs en bâtiment\",\n        \"subtitle\": \"Deux annuaires provinciaux compilés par le Groupe KA \"\n                    \"pour accompagner l'achat : /demenageurs et /inspecteurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ann_insp_reg\",\n                        \"title\": \"Inspecteurs en bâtiment par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_vraiprix(con),\n               lambda: _panel_historique(con),\n               _panel_hypotheques,\n               _panel_annuaires):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1291,"cache_read_input_tokens":194310,"cache_creation":{"ephemeral_5m_input_tokens":1291,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"bbe1effe-6b12-4314-a9d3-1fe0f8949df8","request_id":"req_011CeNWsr5kTiuR3NmwSNpP3"}}
{"type":"permission_auto","tool":"Write","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/immoka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce qu'Immo-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, Vrai-Prix,\n#       caractéristiques, audit photos) + couches de données branchées ;\n#     · Vrai-Prix (écarts prix demandé vs estimation, verdicts, villes) ;\n#     · Historique des prix (baisses/hausses) ;\n#     · Taux hypothécaires (meilleurs taux réels multibanques) ;\n#     · Annuaires (déménageurs et inspecteurs en bâtiment).\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _active_where(con) -> str:\n    cols = {r[1] for r in con.execute(\"PRAGMA table_info(listings)\")}\n    w = \"active=1\"\n    if \"dup_hidden\" in cols:\n        w += \" AND (dup_hidden IS NULL OR dup_hidden=0)\"\n    return w\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    W = _active_where(con)\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                   \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND dauid IS NOT NULL AND dauid<>''\")\n    vp = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                  \" AND vraiprix LIKE '%estimation%'\")\n    annee = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND year_built IS NOT NULL AND year_built > 1600\")\n    sqft = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND area_sqft IS NOT NULL AND area_sqft > 0\")\n    desc = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND description IS NOT NULL AND LENGTH(description) > 80\")\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives\", \"value\": tot},\n        {\"id\": \"enr_vp\", \"label\": \"Avec estimation Vrai-Prix\",\n         \"value\": _pctof(vp, tot), \"unit\": \"%\"},\n        {\"id\": \"enr_img\", \"label\": \"Photos auditées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_audit\")},\n        {\"id\": \"enr_px\", \"label\": \"Points de prix consignés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM price_log\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"Estimation Vrai-Prix\", \"value\": _pctof(vp, tot)},\n        {\"label\": \"Année de construction\", \"value\": _pctof(annee, tot)},\n        {\"label\": \"Superficie habitable\", \"value\": _pctof(sqft, tot)},\n        {\"label\": \"Description détaillée\", \"value\": _pctof(desc, tot)},\n    ]\n\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc_: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc_])\n        except Exception:\n            pass\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Vrai-Prix\", lambda: vp, \"estimations de valeur marchande sur les fiches actives\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Audit des photos\", lambda: _n1(con, \"SELECT COUNT(*) FROM image_audit\"),\n          \"images vérifiées (dimension, poids, disponibilité)\")\n    layer(\"Taux hypothécaires\", lambda: _side(\"mortgage.db\",\n          \"SELECT COUNT(*) FROM rate_observations\"),\n          \"produits hypothécaires suivis en continu (multibanques)\")\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\",\n          \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\",\n          \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\",\n          \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers déclarés (contexte locatif des plex)\")\n\n    def _annuaire(f: str) -> int:\n        p = DATA / f\n        return len(json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])) if p.exists() else 0\n\n    layer(\"Annuaire des déménageurs\", lambda: _annuaire(\"demenageurs.json\"),\n          \"entreprises de déménagement répertoriées (/demenageurs)\")\n    layer(\"Annuaire des inspecteurs\", lambda: _annuaire(\"inspecteurs.json\"),\n          \"inspecteurs en bâtiment répertoriés (/inspecteurs)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce qu'Immo-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque propriété agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, estimation Vrai-Prix, \"\n                    \"audit des photos et couches du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : Vrai-Prix ---------------------------------------------------------\ndef _panel_vraiprix(con) -> dict | None:\n    W = _active_where(con)\n    rows = con.execute(\n        f\"SELECT price, CAST(json_extract(vraiprix, '$.value') AS REAL) vp, city\"\n        f\" FROM listings WHERE {W} AND vraiprix LIKE '%estimation%'\"\n        f\" AND price > 10000\").fetchall()\n    deltas: list[tuple[float, str]] = []\n    for r in rows:\n        if r[\"vp\"] and r[\"vp\"] > 0:\n            d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n            if -80.0 <= d <= 300.0:\n                deltas.append((d, r[\"city\"] or \"\"))\n    if len(deltas) < 100:\n        return None\n    ds = [d for d, _ in deltas]\n    sur = sum(1 for d in ds if d > 10)\n    juste = sum(1 for d in ds if -5 <= d <= 10)\n    sous = sum(1 for d in ds if d < -5)\n\n    kpis = [\n        {\"id\": \"vp_n\", \"label\": \"Propriétés avec estimation\", \"value\": len(ds)},\n        {\"id\": \"vp_med\", \"label\": \"Écart médian demandé vs estimé\",\n         \"value\": round(median(ds), 1), \"unit\": \"%\"},\n        {\"id\": \"vp_sur\", \"label\": \"Au-dessus de l'estimation (> +10 %)\",\n         \"value\": _pctof(sur, len(ds)), \"unit\": \"%\"},\n        {\"id\": \"vp_juste\", \"label\": \"Prix juste (−5 % à +10 %)\",\n         \"value\": _pctof(juste, len(ds)), \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Au-dessus (> +10 %)\", \"value\": sur},\n             {\"label\": \"Prix juste (−5 à +10 %)\", \"value\": juste},\n             {\"label\": \"Sous l'estimation (< −5 %)\", \"value\": sous}]\n\n    bins = []\n    lo = -40\n    while lo < 80:\n        n = sum(1 for d in ds if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for d, c in deltas:\n        if c:\n            byc.setdefault(c, []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 50),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"vp_villes\",\n             \"title\": \"Villes où les prix demandés dépassent le plus \"\n                      \"l'estimation (min. 50 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches estimées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"vraiprix\",\n        \"title\": \"Vrai-Prix — le prix demandé est-il le bon prix ?\",\n        \"subtitle\": \"Chaque propriété est comparée à son estimation Vrai-Prix \"\n                    \"(modèle d'évaluation du Groupe KA).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"vp_verdicts\",\n                        \"title\": \"Prix demandé vs estimation Vrai-Prix\",\n                        \"kind\": \"donut\", \"items\": donut}],\n        \"distributions\": [{\"id\": \"vp_hist\",\n                           \"title\": \"Distribution des écarts demandé vs estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix -----------------------------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    drops_abs: list[float] = []\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                if pct < 0:\n                    drops_abs.append(prev_price - r[\"price\"])\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": len(rows)},\n        {\"id\": \"px_chg\", \"label\": \"Propriétés avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de prix détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops_abs)) if drops_abs else None, \"unit\": \"$\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque propriété est suivie dans le temps\",\n        \"subtitle\": \"Immo-Ka consigne le prix demandé à chaque synchronisation : \"\n                    \"les baisses et hausses apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"px_sens\", \"title\": \"Changements de prix détectés\",\n                        \"kind\": \"donut\", \"items\": donut}],\n    }\n\n\n# --- Panneau : taux hypothécaires -------------------------------------------------\ndef _panel_hypotheques() -> dict | None:\n    con = _ro(\"mortgage.db\")\n    if con is None:\n        return None\n    try:\n        rows = con.execute(\n            \"SELECT institution, product_name, rate_type, term_months, kind,\"\n            \" rate FROM rate_observations WHERE rate IS NOT NULL\"\n            \" AND (valid_to IS NULL OR valid_to = '')\").fetchall()\n        if not rows:\n            rows = con.execute(\n                \"SELECT institution, product_name, rate_type, term_months,\"\n                \" kind, rate FROM rate_observations\"\n                \" WHERE rate IS NOT NULL\").fetchall()\n    finally:\n        con.close()\n    if len(rows) < 20:\n        return None\n\n    inst = {r[\"institution\"] for r in rows}\n    f5 = [r for r in rows if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] == 60]\n    v5 = [r for r in rows if r[\"rate_type\"] in (\"variable\", \"adjustable\")\n          and r[\"term_months\"] == 60]\n    best_f5 = min(f5, key=lambda r: r[\"rate\"]) if f5 else None\n    best_v5 = min(v5, key=lambda r: r[\"rate\"]) if v5 else None\n\n    kpis = [\n        {\"id\": \"mt_prod\", \"label\": \"Produits hypothécaires suivis\", \"value\": len(rows)},\n        {\"id\": \"mt_inst\", \"label\": \"Institutions financières\", \"value\": len(inst)},\n        {\"id\": \"mt_f5\", \"label\": \"Meilleur 5 ans fixe\",\n         \"value\": round(best_f5[\"rate\"], 2) if best_f5 else None, \"unit\": \"%\"},\n        {\"id\": \"mt_v5\", \"label\": \"Meilleur 5 ans variable\",\n         \"value\": round(best_v5[\"rate\"], 2) if best_v5 else None, \"unit\": \"%\"},\n    ]\n\n    best_by_inst: dict[str, float] = {}\n    for r in f5:\n        cur = best_by_inst.get(r[\"institution\"])\n        if cur is None or r[\"rate\"] < cur:\n            best_by_inst[r[\"institution\"]] = r[\"rate\"]\n    bars = sorted(({\"label\": k, \"value\": round(v, 2)}\n                   for k, v in best_by_inst.items()),\n                  key=lambda x: x[\"value\"])[:12]\n\n    byterm: dict[int, list[float]] = {}\n    for r in rows:\n        if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] in (12, 24, 36, 48, 60, 84, 120):\n            byterm.setdefault(r[\"term_months\"], []).append(r[\"rate\"])\n    tbars = [{\"label\": f\"{t // 12} an{'s' if t >= 24 else ''}\",\n              \"value\": round(min(v), 2)}\n             for t, v in sorted(byterm.items())]\n\n    return {\n        \"id\": \"hypotheques\",\n        \"title\": \"Taux hypothécaires — collecte réelle multibanques\",\n        \"subtitle\": \"Les taux publiés par les institutions sont collectés en \"\n                    \"continu et alimentent le calculateur des fiches \"\n                    \"(/taux-hypothecaires).\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"mt_inst_bar\",\n                         \"title\": \"Meilleur taux fixe 5 ans par institution (%)\",\n                         \"kind\": \"bar\", \"items\": bars}] if bars else [])\n                      + ([{\"id\": \"mt_terms\",\n                           \"title\": \"Meilleur taux fixe par terme (%)\",\n                           \"kind\": \"bar\", \"items\": tbars}] if tbars else []),\n    }\n\n\n# --- Panneau : annuaires (déménageurs + inspecteurs) ------------------------------\ndef _panel_annuaires() -> dict | None:\n    def _load(f: str) -> list[dict]:\n        p = DATA / f\n        if not p.exists():\n            return []\n        return json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])\n\n    dem = _load(\"demenageurs.json\")\n    insp = _load(\"inspecteurs.json\")\n    if len(dem) + len(insp) < 50:\n        return None\n\n    def _note(entries: list[dict]) -> float | None:\n        rated = [m[\"rating\"] for m in entries if m.get(\"rating\")]\n        return round(median(rated), 1) if len(rated) >= 30 else None\n\n    kpis = [\n        {\"id\": \"ann_dem\", \"label\": \"Déménageurs répertoriés\", \"value\": len(dem) or None},\n        {\"id\": \"ann_insp\", \"label\": \"Inspecteurs en bâtiment\", \"value\": len(insp) or None},\n        {\"id\": \"ann_dnote\", \"label\": \"Note médiane — déménageurs\",\n         \"value\": _note(dem), \"unit\": \"/5\"},\n        {\"id\": \"ann_inote\", \"label\": \"Note médiane — inspecteurs\",\n         \"value\": _note(insp), \"unit\": \"/5\"},\n    ]\n    byreg: dict[str, int] = {}\n    for m in insp:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    return {\n        \"id\": \"annuaires\",\n        \"title\": \"Annuaires — déménageurs et inspecteurs en bâtiment\",\n        \"subtitle\": \"Deux annuaires provinciaux compilés par le Groupe KA \"\n                    \"pour accompagner l'achat : /demenageurs et /inspecteurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ann_insp_reg\",\n                        \"title\": \"Inspecteurs en bâtiment par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_vraiprix(con),\n               lambda: _panel_historique(con),\n               _panel_hypotheques,\n               _panel_annuaires):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CfATphyQBnuL8br9tbVxrt","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/ka-orchestrator/demenageurs/immoka_statsfiche.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"cb535094-1a20-4b11-852f-cac6e133bba6","timestamp":"2026-08-25T00:26:27.767Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/ka-orchestrator/demenageurs/immoka_statsfiche.py","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# statsfiche.py : panneaux « enrichissements de la fiche » de l'onglet\n#   Statistiques — tout ce qu'Immo-Ka ajoute par-dessus l'annonce brute :\n#     · couverture des enrichissements (géocodage, quartier, Vrai-Prix,\n#       caractéristiques, audit photos) + couches de données branchées ;\n#     · Vrai-Prix (écarts prix demandé vs estimation, verdicts, villes) ;\n#     · Historique des prix (baisses/hausses) ;\n#     · Taux hypothécaires (meilleurs taux réels multibanques) ;\n#     · Annuaires (déménageurs et inspecteurs en bâtiment).\n#   Même contrat de rendu que statsextra.py (kpis/breakdowns/distributions/\n#   tables, rendu générique du kit stats) — un panneau absent si sa source\n#   ne répond pas. Cache 30 min.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\nfrom statistics import median\n\nROOT = Path(__file__).resolve().parent.parent\nDATA = ROOT / \"data\"\n_CACHE: dict[str, tuple[float, list]] = {}\n_TTL = 1800\n\n\ndef _ro(name: str) -> sqlite3.Connection | None:\n    p = DATA / name\n    if not p.exists():\n        return None\n    con = sqlite3.connect(f\"file:{p}?mode=ro\", uri=True)\n    con.row_factory = sqlite3.Row\n    return con\n\n\ndef _active_where(con) -> str:\n    cols = {r[1] for r in con.execute(\"PRAGMA table_info(listings)\")}\n    w = \"active=1\"\n    if \"dup_hidden\" in cols:\n        w += \" AND (dup_hidden IS NULL OR dup_hidden=0)\"\n    return w\n\n\ndef _n1(con, sql: str, args: tuple = ()) -> int:\n    return con.execute(sql, args).fetchone()[0] or 0\n\n\ndef _fr(n: float) -> str:\n    return f\"{round(n):,}\".replace(\",\", \" \")\n\n\ndef _pctof(part: int, tot: int) -> float:\n    return round(100.0 * part / tot, 1) if tot else 0.0\n\n\n# --- Panneau : couverture des enrichissements ---------------------------------\ndef _panel_enrichissement(con) -> dict | None:\n    W = _active_where(con)\n    tot = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\")\n    if tot < 100:\n        return None\n    geo = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                   \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n    quart = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND dauid IS NOT NULL AND dauid<>''\")\n    vp = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                  \" AND vraiprix LIKE '%estimation%'\")\n    annee = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                     \" AND year_built IS NOT NULL AND year_built > 1600\")\n    sqft = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND area_sqft IS NOT NULL AND area_sqft > 0\")\n    desc = _n1(con, f\"SELECT COUNT(*) FROM listings WHERE {W}\"\n                    \" AND description IS NOT NULL AND LENGTH(description) > 80\")\n\n    kpis = [\n        {\"id\": \"enr_tot\", \"label\": \"Fiches actives\", \"value\": tot},\n        {\"id\": \"enr_vp\", \"label\": \"Avec estimation Vrai-Prix\",\n         \"value\": _pctof(vp, tot), \"unit\": \"%\"},\n        {\"id\": \"enr_img\", \"label\": \"Photos auditées (cumul)\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM image_audit\")},\n        {\"id\": \"enr_px\", \"label\": \"Points de prix consignés\",\n         \"value\": _n1(con, \"SELECT COUNT(*) FROM price_log\")},\n    ]\n    bars = [\n        {\"label\": \"Géolocalisation\", \"value\": _pctof(geo, tot)},\n        {\"label\": \"Quartier (recensement)\", \"value\": _pctof(quart, tot)},\n        {\"label\": \"Estimation Vrai-Prix\", \"value\": _pctof(vp, tot)},\n        {\"label\": \"Année de construction\", \"value\": _pctof(annee, tot)},\n        {\"label\": \"Superficie habitable\", \"value\": _pctof(sqft, tot)},\n        {\"label\": \"Description détaillée\", \"value\": _pctof(desc, tot)},\n    ]\n\n    layers: list[list] = []\n\n    def layer(nom: str, count_fn, desc_: str) -> None:\n        try:\n            n = count_fn()\n            if n:\n                layers.append([nom, _fr(n), desc_])\n        except Exception:\n            pass\n\n    def _side(db: str, sql: str) -> int:\n        c = _ro(db)\n        if c is None:\n            return 0\n        try:\n            return c.execute(sql).fetchone()[0] or 0\n        finally:\n            c.close()\n\n    layer(\"Vrai-Prix\", lambda: vp, \"estimations de valeur marchande sur les fiches actives\")\n    layer(\"Historique des prix\", lambda: _n1(con, \"SELECT COUNT(*) FROM price_log\"),\n          \"points de prix consignés depuis la première capture\")\n    layer(\"Audit des photos\", lambda: _n1(con, \"SELECT COUNT(*) FROM image_audit\"),\n          \"images vérifiées (dimension, poids, disponibilité)\")\n    layer(\"Taux hypothécaires\", lambda: _side(\"mortgage.db\",\n          \"SELECT COUNT(*) FROM rate_observations\"),\n          \"produits hypothécaires suivis en continu (multibanques)\")\n    layer(\"Qualité de l'air\", lambda: _side(\"air.db\",\n          \"SELECT COUNT(DISTINCT station) FROM air_stats\"),\n          \"stations de mesure (RSQAQ) rattachées aux fiches\")\n    layer(\"Zones inondables\", lambda: _side(\"inondation.db\", \"SELECT COUNT(*) FROM zi\"),\n          \"polygones officiels vérifiés au survol de chaque fiche\")\n    layer(\"Commerces à proximité\", lambda: _side(\"commerces.db\",\n          \"SELECT COUNT(*) FROM commerces_cache\"),\n          \"cellules de commerces essentiels en cache\")\n    layer(\"Hydro-Québec\", lambda: _side(\"hydro.db\", \"SELECT COUNT(*) FROM hydro_cache\"),\n          \"estimations de coût d'électricité par adresse\")\n    layer(\"Registre des loyers\", lambda: _side(\"rdl.db\",\n          \"SELECT COUNT(*) FROM rdl_housings\"),\n          \"loyers déclarés (contexte locatif des plex)\")\n\n    def _annuaire(f: str) -> int:\n        p = DATA / f\n        return len(json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])) if p.exists() else 0\n\n    layer(\"Annuaire des déménageurs\", lambda: _annuaire(\"demenageurs.json\"),\n          \"entreprises de déménagement répertoriées (/demenageurs)\")\n    layer(\"Annuaire des inspecteurs\", lambda: _annuaire(\"inspecteurs.json\"),\n          \"inspecteurs en bâtiment répertoriés (/inspecteurs)\")\n\n    table = {\"id\": \"enr_couches\",\n             \"title\": \"Couches de données branchées sur chaque fiche\",\n             \"columns\": [\"Couche\", \"Volume\", \"Description\"],\n             \"rows\": layers}\n\n    return {\n        \"id\": \"enrichissement\",\n        \"title\": \"Enrichissement des fiches — ce qu'Immo-Ka ajoute à l'annonce\",\n        \"subtitle\": \"Chaque propriété agrégée est enrichie automatiquement : \"\n                    \"géocodage, quartier de recensement, estimation Vrai-Prix, \"\n                    \"audit des photos et couches du territoire.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"enr_couv\",\n                        \"title\": \"Couverture des enrichissements (% des fiches actives)\",\n                        \"kind\": \"bar\", \"items\": bars}],\n        \"tables\": [table] if layers else [],\n    }\n\n\n# --- Panneau : Vrai-Prix ---------------------------------------------------------\ndef _panel_vraiprix(con) -> dict | None:\n    W = _active_where(con)\n    rows = con.execute(\n        f\"SELECT price, CAST(json_extract(vraiprix, '$.value') AS REAL) vp, city\"\n        f\" FROM listings WHERE {W} AND vraiprix LIKE '%estimation%'\"\n        f\" AND price > 10000\").fetchall()\n    deltas: list[tuple[float, str]] = []\n    for r in rows:\n        if r[\"vp\"] and r[\"vp\"] > 0:\n            d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n            if -80.0 <= d <= 300.0:\n                deltas.append((d, r[\"city\"] or \"\"))\n    if len(deltas) < 100:\n        return None\n    ds = [d for d, _ in deltas]\n    sur = sum(1 for d in ds if d > 10)\n    juste = sum(1 for d in ds if -5 <= d <= 10)\n    sous = sum(1 for d in ds if d < -5)\n\n    kpis = [\n        {\"id\": \"vp_n\", \"label\": \"Propriétés avec estimation\", \"value\": len(ds)},\n        {\"id\": \"vp_med\", \"label\": \"Écart médian demandé vs estimé\",\n         \"value\": round(median(ds), 1), \"unit\": \"%\"},\n        {\"id\": \"vp_sur\", \"label\": \"Au-dessus de l'estimation (> +10 %)\",\n         \"value\": _pctof(sur, len(ds)), \"unit\": \"%\"},\n        {\"id\": \"vp_juste\", \"label\": \"Prix juste (−5 % à +10 %)\",\n         \"value\": _pctof(juste, len(ds)), \"unit\": \"%\"},\n    ]\n    donut = [{\"label\": \"Au-dessus (> +10 %)\", \"value\": sur},\n             {\"label\": \"Prix juste (−5 à +10 %)\", \"value\": juste},\n             {\"label\": \"Sous l'estimation (< −5 %)\", \"value\": sous}]\n\n    bins = []\n    lo = -40\n    while lo < 80:\n        n = sum(1 for d in ds if lo <= d < lo + 10)\n        bins.append({\"label\": f\"{lo}\", \"value\": n})\n        lo += 10\n\n    byc: dict[str, list[float]] = {}\n    for d, c in deltas:\n        if c:\n            byc.setdefault(c, []).append(d)\n    top = sorted(((c, v) for c, v in byc.items() if len(v) >= 50),\n                 key=lambda kv: -median(kv[1]))[:12]\n    table = {\"id\": \"vp_villes\",\n             \"title\": \"Villes où les prix demandés dépassent le plus \"\n                      \"l'estimation (min. 50 fiches)\",\n             \"columns\": [\"Ville\", \"Fiches estimées\", \"Écart médian\"],\n             \"rows\": [[c, len(v), f\"{median(v):+.1f} %\"] for c, v in top]}\n\n    return {\n        \"id\": \"vraiprix\",\n        \"title\": \"Vrai-Prix — le prix demandé est-il le bon prix ?\",\n        \"subtitle\": \"Chaque propriété est comparée à son estimation Vrai-Prix \"\n                    \"(modèle d'évaluation du Groupe KA).\",\n        \"kpis\": kpis,\n        \"breakdowns\": [{\"id\": \"vp_verdicts\",\n                        \"title\": \"Prix demandé vs estimation Vrai-Prix\",\n                        \"kind\": \"donut\", \"items\": donut}],\n        \"distributions\": [{\"id\": \"vp_hist\",\n                           \"title\": \"Distribution des écarts demandé vs estimé (%)\",\n                           \"unit\": \"%\", \"bins\": bins}],\n        \"tables\": [table] if top else [],\n    }\n\n\n# --- Panneau : historique des prix -----------------------------------------------\ndef _panel_historique(con) -> dict | None:\n    rows = con.execute(\n        \"SELECT uid, ts, price FROM price_log ORDER BY uid, ts\").fetchall()\n    if len(rows) < 200:\n        return None\n    drops: list[float] = []\n    hikes: list[float] = []\n    changed: set[str] = set()\n    drops_abs: list[float] = []\n    prev_uid, prev_price = None, None\n    for r in rows:\n        if r[\"uid\"] == prev_uid and prev_price and r[\"price\"] and r[\"price\"] != prev_price:\n            pct = (r[\"price\"] - prev_price) / prev_price * 100.0\n            if -60.0 <= pct <= 120.0:\n                (drops if pct < 0 else hikes).append(pct)\n                if pct < 0:\n                    drops_abs.append(prev_price - r[\"price\"])\n                changed.add(r[\"uid\"])\n        prev_uid, prev_price = r[\"uid\"], r[\"price\"]\n\n    kpis = [\n        {\"id\": \"px_pts\", \"label\": \"Points de prix consignés\", \"value\": len(rows)},\n        {\"id\": \"px_chg\", \"label\": \"Propriétés avec changement de prix\",\n         \"value\": len(changed)},\n        {\"id\": \"px_drop\", \"label\": \"Baisses de prix détectées\", \"value\": len(drops)},\n        {\"id\": \"px_dmed\", \"label\": \"Baisse médiane\",\n         \"value\": round(median(drops_abs)) if drops_abs else None, \"unit\": \"$\"},\n    ]\n    donut = [{\"label\": \"Baisses\", \"value\": len(drops)},\n             {\"label\": \"Hausses\", \"value\": len(hikes)}]\n    return {\n        \"id\": \"historique_prix\",\n        \"title\": \"Historique des prix — chaque propriété est suivie dans le temps\",\n        \"subtitle\": \"Immo-Ka consigne le prix demandé à chaque synchronisation : \"\n                    \"les baisses et hausses apparaissent sur la fiche.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"px_sens\", \"title\": \"Changements de prix détectés\",\n                        \"kind\": \"donut\", \"items\": donut}],\n    }\n\n\n# --- Panneau : taux hypothécaires -------------------------------------------------\ndef _panel_hypotheques() -> dict | None:\n    con = _ro(\"mortgage.db\")\n    if con is None:\n        return None\n    try:\n        rows = con.execute(\n            \"SELECT institution, product_name, rate_type, term_months, kind,\"\n            \" rate FROM rate_observations WHERE rate IS NOT NULL\"\n            \" AND (valid_to IS NULL OR valid_to = '')\").fetchall()\n        if not rows:\n            rows = con.execute(\n                \"SELECT institution, product_name, rate_type, term_months,\"\n                \" kind, rate FROM rate_observations\"\n                \" WHERE rate IS NOT NULL\").fetchall()\n    finally:\n        con.close()\n    if len(rows) < 20:\n        return None\n\n    inst = {r[\"institution\"] for r in rows}\n    f5 = [r for r in rows if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] == 60]\n    v5 = [r for r in rows if r[\"rate_type\"] in (\"variable\", \"adjustable\")\n          and r[\"term_months\"] == 60]\n    best_f5 = min(f5, key=lambda r: r[\"rate\"]) if f5 else None\n    best_v5 = min(v5, key=lambda r: r[\"rate\"]) if v5 else None\n\n    kpis = [\n        {\"id\": \"mt_prod\", \"label\": \"Produits hypothécaires suivis\", \"value\": len(rows)},\n        {\"id\": \"mt_inst\", \"label\": \"Institutions financières\", \"value\": len(inst)},\n        {\"id\": \"mt_f5\", \"label\": \"Meilleur 5 ans fixe\",\n         \"value\": round(best_f5[\"rate\"], 2) if best_f5 else None, \"unit\": \"%\"},\n        {\"id\": \"mt_v5\", \"label\": \"Meilleur 5 ans variable\",\n         \"value\": round(best_v5[\"rate\"], 2) if best_v5 else None, \"unit\": \"%\"},\n    ]\n\n    best_by_inst: dict[str, float] = {}\n    for r in f5:\n        cur = best_by_inst.get(r[\"institution\"])\n        if cur is None or r[\"rate\"] < cur:\n            best_by_inst[r[\"institution\"]] = r[\"rate\"]\n    bars = sorted(({\"label\": k, \"value\": round(v, 2)}\n                   for k, v in best_by_inst.items()),\n                  key=lambda x: x[\"value\"])[:12]\n\n    byterm: dict[int, list[float]] = {}\n    for r in rows:\n        if r[\"rate_type\"] == \"fixed\" and r[\"term_months\"] in (12, 24, 36, 48, 60, 84, 120):\n            byterm.setdefault(r[\"term_months\"], []).append(r[\"rate\"])\n    tbars = [{\"label\": f\"{t // 12} an{'s' if t >= 24 else ''}\",\n              \"value\": round(min(v), 2)}\n             for t, v in sorted(byterm.items())]\n\n    return {\n        \"id\": \"hypotheques\",\n        \"title\": \"Taux hypothécaires — collecte réelle multibanques\",\n        \"subtitle\": \"Les taux publiés par les institutions sont collectés en \"\n                    \"continu et alimentent le calculateur des fiches \"\n                    \"(/taux-hypothecaires).\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": ([{\"id\": \"mt_inst_bar\",\n                         \"title\": \"Meilleur taux fixe 5 ans par institution (%)\",\n                         \"kind\": \"bar\", \"items\": bars}] if bars else [])\n                      + ([{\"id\": \"mt_terms\",\n                           \"title\": \"Meilleur taux fixe par terme (%)\",\n                           \"kind\": \"bar\", \"items\": tbars}] if tbars else []),\n    }\n\n\n# --- Panneau : annuaires (déménageurs + inspecteurs) ------------------------------\ndef _panel_annuaires() -> dict | None:\n    def _load(f: str) -> list[dict]:\n        p = DATA / f\n        if not p.exists():\n            return []\n        return json.loads(p.read_text(encoding=\"utf-8\")).get(\"movers\", [])\n\n    dem = _load(\"demenageurs.json\")\n    insp = _load(\"inspecteurs.json\")\n    if len(dem) + len(insp) < 50:\n        return None\n\n    def _note(entries: list[dict]) -> float | None:\n        rated = [m[\"rating\"] for m in entries if m.get(\"rating\")]\n        return round(median(rated), 1) if len(rated) >= 30 else None\n\n    kpis = [\n        {\"id\": \"ann_dem\", \"label\": \"Déménageurs répertoriés\", \"value\": len(dem) or None},\n        {\"id\": \"ann_insp\", \"label\": \"Inspecteurs en bâtiment\", \"value\": len(insp) or None},\n        {\"id\": \"ann_dnote\", \"label\": \"Note médiane — déménageurs\",\n         \"value\": _note(dem), \"unit\": \"/5\"},\n        {\"id\": \"ann_inote\", \"label\": \"Note médiane — inspecteurs\",\n         \"value\": _note(insp), \"unit\": \"/5\"},\n    ]\n    byreg: dict[str, int] = {}\n    for m in insp:\n        byreg[m[\"region\"]] = byreg.get(m[\"region\"], 0) + 1\n    bars = sorted(({\"label\": k, \"value\": v} for k, v in byreg.items()),\n                  key=lambda x: -x[\"value\"])[:12]\n    return {\n        \"id\": \"annuaires\",\n        \"title\": \"Annuaires — déménageurs et inspecteurs en bâtiment\",\n        \"subtitle\": \"Deux annuaires provinciaux compilés par le Groupe KA \"\n                    \"pour accompagner l'achat : /demenageurs et /inspecteurs.\",\n        \"kpis\": [k for k in kpis if k.get(\"value\") is not None],\n        \"breakdowns\": [{\"id\": \"ann_insp_reg\",\n                        \"title\": \"Inspecteurs en bâtiment par région (top 12)\",\n                        \"kind\": \"bar\", \"items\": bars}] if bars else [],\n    }\n\n\ndef panels(con: sqlite3.Connection) -> list[dict]:\n    \"\"\"Panneaux « enrichissements de la fiche » (cache 30 min).\"\"\"\n    hit = _CACHE.get(\"panels\")\n    if hit and time.time() - hit[0] < _TTL:\n        return hit[1]\n    out = []\n    for fn in (lambda: _panel_enrichissement(con),\n               lambda: _panel_vraiprix(con),\n               lambda: _panel_historique(con),\n               _panel_hypotheques,\n               _panel_annuaires):\n        try:\n            p = fn()\n            if p and (p.get(\"kpis\") or p.get(\"tables\") or p.get(\"breakdowns\")):\n                out.append(p)\n        except Exception:\n            continue\n    _CACHE[\"panels\"] = (time.time(), out)\n    return out\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
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{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"c702e5a1-0c60-4166-8bbe-570964bfdf7d","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"aa8fba11-b508-4d49-a8d2-450aaa14bcc1","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"8446be47-ef10-477d-90ab-48ca8a6d4a16","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":150,"uuid":"7e670e05-9758-4ac1-a070-b487b6ac0c1a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"442a584c-1f8b-48d0-a549-545025e6b605","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWyKwSmRSpFrkeZxKcJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7569,"cache_read_input_tokens":195601,"cache_creation":{"ephemeral_5m_input_tokens":7569,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"5d4a2591-38e2-491c-b4e6-23afeac66387","request_id":"req_011CeNWyJ27Bw1V4s429GiFv"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWyKwSmRSpFrkeZxKcJ","type":"message","role":"assistant","content":[{"type":"text","text":"Déploiement Lou-Ka : copie du module, hook dans `statsdash.py`, test de calcul des panneaux avant restart."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7569,"cache_read_input_tokens":195601,"cache_creation":{"ephemeral_5m_input_tokens":7569,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1b3c5a4a-c470-47ba-83ec-e80e451e0588","request_id":"req_011CeNWyJ27Bw1V4s429GiFv"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWyKwSmRSpFrkeZxKcJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WxY94jUFHiUioiZkCooJhj","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && scp -q louka_statsfiche.py M3U96b:~/apps/lou-ka/louka/statsfiche.py && ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nfrom pathlib import Path\np = Path(\"louka/statsdash.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = \"\"\"        from . import statsextra\n        pnls = statsextra.panels(con)\"\"\"\nnew = \"\"\"        from . import statsextra, statsfiche\n        pnls = statsfiche.panels(con) + statsextra.panels(con)\"\"\"\nassert old in t or new in t, \"ancre introuvable\"\nif new not in t:\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\nprint(\"hook ok\")\nEOF\n.venv/bin/python - <<EOF\nfrom louka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    print(\"--\", p[\"id\"], \"|\", \"; \".join(f\"{k[\\\"label\\\"]}={k[\\\"value\\\"]}\" for k in p.get(\"kpis\", [])[:5]))\nEOF'","description":"Deploy lou-ka statsfiche and dry-run panels","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7569,"cache_read_input_tokens":195601,"cache_creation":{"ephemeral_5m_input_tokens":7569,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"0b72945c-f27c-40d4-997b-9e3ae2972617","request_id":"req_011CeNWyJ27Bw1V4s429GiFv"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && scp -q louka_statsfiche.py M3U96b:~/apps/lou-ka/louka/statsfiche.py && ssh M3U96b 'cd ~/apps/lou-ka && python3 - <<EOF\nfrom pathlib import Path\np = Path(\"louka/statsdash.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = \"\"\"        from . import statsextra\n        pnls = statsextra.panels(con)\"\"\"\nnew = \"\"\"        from . import statsextra, statsfiche\n        pnls = statsfiche.panels(con) + statsextra.panels(con)\"\"\"\nassert old in t or new in t, \"ancre introuvable\"\nif new not in t:\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\nprint(\"hook ok\")\nEOF\n.venv/bin/python - <<EOF\nfrom louka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    print(\"--\", p[\"id\"], \"|\", \"; \".join(f\"{k[\\\"label\\\"]}={k[\\\"value\\\"]}\" for k in p.get(\"kpis\", [])[:5]))\nEOF'","timeout":180000,"description":"Deploy lou-ka statsfiche and dry-run panels"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nhook ok\n  File \"<stdin>\", line 6\n    print(\"--\", p[\"id\"], \"|\", \"; \".join(f\"{k[\\\"label\\\"]}={k[\\\"value\\\"]}\" for k in p.get(\"kpis\", [])[:5]))\n                                              ^\nSyntaxError: unexpected character after line continuation character","is_error":true,"tool_use_id":"toolu_01WxY94jUFHiUioiZkCooJhj"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e7f65e43-0c93-4685-8b77-22affc9687c6","timestamp":"2026-08-25T00:26:43.989Z","tool_use_result":"Error: Exit code 1\nhook ok\n  File \"<stdin>\", line 6\n    print(\"--\", p[\"id\"], \"|\", \"; \".join(f\"{k[\\\"label\\\"]}={k[\\\"value\\\"]}\" for k in p.get(\"kpis\", [])[:5]))\n                                              ^\nSyntaxError: unexpected character after line continuation character"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d92df496-a20e-4b89-9cfb-0ac0677c4383","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWzWrJYkuxgExvAXLJK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1241,"cache_read_input_tokens":203170,"cache_creation":{"ephemeral_5m_input_tokens":1241,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"350abc7a-f248-4fb3-b779-167e7e0bcee0","request_id":"req_011CeNWzVLH14ifKXy9S3WLc"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWzWrJYkuxgExvAXLJK","type":"message","role":"assistant","content":[{"type":"text","text":"Simple problème de syntaxe f-string dans mon test (pas dans le module). Je relance le test proprement."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1241,"cache_read_input_tokens":203170,"cache_creation":{"ephemeral_5m_input_tokens":1241,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"d9e7adf1-cc47-40b6-abe7-f59bcc52621b","request_id":"req_011CeNWzVLH14ifKXy9S3WLc"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNWzWrJYkuxgExvAXLJK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Us6DZfBgDccvLNrA4PNioG","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python - <<EOF\nfrom louka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    kv = \"; \".join(str(k[\"label\"]) + \"=\" + str(k[\"value\"]) for k in p.get(\"kpis\", [])[:5])\n    print(\"--\", p[\"id\"], \"|\", kv)\nEOF'","description":"Dry-run lou-ka statsfiche panels","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1241,"cache_read_input_tokens":203170,"cache_creation":{"ephemeral_5m_input_tokens":1241,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"4621de87-24e8-4c13-a2ca-0753bbb59dbe","request_id":"req_011CeNWzVLH14ifKXy9S3WLc"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python - <<EOF\nfrom louka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    kv = \"; \".join(str(k[\"label\"]) + \"=\" + str(k[\"value\"]) for k in p.get(\"kpis\", [])[:5])\n    print(\"--\", p[\"id\"], \"|\", kv)\nEOF'","timeout":180000,"description":"Dry-run lou-ka statsfiche panels"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Us6DZfBgDccvLNrA4PNioG","type":"tool_result","content":"panneaux: ['enrichissement', 'kascores', 'juste_valeur', 'historique_prix', 'court_terme', 'annuaire_demenageurs']\n-- enrichissement | Fiches actives publiées=45405; Complétude moyenne=91.1; Immeubles au passeport=31874; Photos vérifiées (cumul)=690200\n-- kascores | Fiches avec KA Scores=43177; Score global médian=78.9; Score ≥ 70 (excellents secteurs)=73.1; Emplacements notés (cumul)=28438\n-- juste_valeur | Loyers évalués (fiches actives)=43993; Écart médian au loyer estimé=-0.0; Au-dessus du marché=24.5; Sous le marché (aubaines)=23.9\n-- historique_prix | Points de prix consignés=96328; Annonces avec changement de prix=3942; Baisses de loyer détectées=2832; Baisse médiane=-6.1\n-- court_terme | Hébergements court terme actifs=41460; Plateformes agrégées=22; Prix médian par nuit=250; Avec n° d'enregistrement CITQ=39.5; Note médiane des voyageurs=4.89\n-- annuaire_demenageurs | Déménageurs répertoriés=565; Régions couvertes=17; Avec site web=76.8; Note Google médiane=4.8","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"b308b928-438e-4966-9219-ba446422fbab","timestamp":"2026-08-25T00:26:53.299Z","tool_use_result":{"stdout":"panneaux: ['enrichissement', 'kascores', 'juste_valeur', 'historique_prix', 'court_terme', 'annuaire_demenageurs']\n-- enrichissement | Fiches actives publiées=45405; Complétude moyenne=91.1; Immeubles au passeport=31874; Photos vérifiées (cumul)=690200\n-- kascores | Fiches avec KA Scores=43177; Score global médian=78.9; Score ≥ 70 (excellents secteurs)=73.1; Emplacements notés (cumul)=28438\n-- juste_valeur | Loyers évalués (fiches actives)=43993; Écart médian au loyer estimé=-0.0; Au-dessus du marché=24.5; Sous le marché (aubaines)=23.9\n-- historique_prix | Points de prix consignés=96328; Annonces avec changement de prix=3942; Baisses de loyer détectées=2832; Baisse médiane=-6.1\n-- court_terme | Hébergements court terme actifs=41460; Plateformes agrégées=22; Prix médian par nuit=250; Avec n° d'enregistrement CITQ=39.5; Note médiane des voyageurs=4.89\n-- annuaire_demenageurs | Déménageurs répertoriés=565; Régions couvertes=17; Avec site web=76.8; Note Google médiane=4.8","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b927f2af-afd7-44ed-81d0-3c17ae90728c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"7c75f2bf-a6c0-4610-939e-fcccabb77895","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":117,"estimated_tokens_delta":67,"uuid":"8caa875c-1473-498a-bad1-7038c588a5d2","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX1ChBujKiVTYhNCkkT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":841,"cache_read_input_tokens":204411,"cache_creation":{"ephemeral_5m_input_tokens":841,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"3bbc3214-333e-4a53-9c46-bcd2b420b66d","request_id":"req_011CeNX1B9utQBFCt8k1QDzp"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX1ChBujKiVTYhNCkkT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":841,"cache_read_input_tokens":204411,"cache_creation":{"ephemeral_5m_input_tokens":841,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"3f3cd0d5-5a4c-4aa3-bcbc-b80633cbf90d","request_id":"req_011CeNX1B9utQBFCt8k1QDzp"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX1ChBujKiVTYhNCkkT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019z415BzYq4SHdeNPJgfU1A","name":"Bash","input":{"command":"ssh M3U96b 'pm2 restart lou-ka-web --update-env >/dev/null 2>&1 && sleep 4 && curl -s \"localhost:8095/api/stats/dashboard?period=30j\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nprint(\\\"panneaux dashboard:\\\", [p[\\\"id\\\"] for p in d.get(\\\"panels\\\", [])])\" && curl -s -o /dev/null -w \"stats page:%{http_code} home:\" https://www.lou-ka.com/stats && curl -s -o /dev/null -w \"%{http_code}\\n\" localhost:8095/ && cd ~/apps/lou-ka && git add louka/statsfiche.py louka/statsdash.py && git commit -q -m \"Stats : panneaux « enrichissements de la fiche » (KA Scores, juste valeur, historique des prix, court terme, gestionnaires, annuaire déménageurs)\n\n- louka/statsfiche.py : 7 panneaux calculés sur les données réelles des fiches\n  (couverture des enrichissements + couches branchées, KA Scores par pilier et\n  par ville, verdicts de juste valeur + écarts, baisses/hausses de loyer +\n  événements de vie, court terme CITQ/notes/prix par région, réputation des\n  gestionnaires — masqué tant que <10 fiches notées, annuaire déménageurs)\n- statsdash.py : fusion statsfiche.panels() + statsextra.panels()\n- rendu 100 % générique par le kit stats existant (aucun changement frontend)\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push -q origin main && git log -1 --format=\"%h %s\"'","description":"Restart lou-ka, verify dashboard, commit and push"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":841,"cache_read_input_tokens":204411,"cache_creation":{"ephemeral_5m_input_tokens":841,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"dea4708e-b5fd-464a-aaf6-97bcc908cea2","request_id":"req_011CeNX1B9utQBFCt8k1QDzp"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M3U96b 'pm2 restart lou-ka-web --update-env >/dev/null 2>&1 && sleep 4 && curl -s \"localhost:8095/api/stats/dashboard?period=30j\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nprint(\\\"panneaux dashboard:\\\", [p[\\\"id\\\"] for p in d.get(\\\"panels\\\", [])])\" && curl -s -o /dev/null -w \"stats page:%{http_code} home:\" https://www.lou-ka.com/stats && curl -s -o /dev/null -w \"%{http_code}\\n\" localhost:8095/ && cd ~/apps/lou-ka && git add louka/statsfiche.py louka/statsdash.py && git commit -q -m \"Stats : panneaux « enrichissements de la fiche » (KA Scores, juste valeur, historique des prix, court terme, gestionnaires, annuaire déménageurs)\n\n- louka/statsfiche.py : 7 panneaux calculés sur les données réelles des fiches\n  (couverture des enrichissements + couches branchées, KA Scores par pilier et\n  par ville, verdicts de juste valeur + écarts, baisses/hausses de loyer +\n  événements de vie, court terme CITQ/notes/prix par région, réputation des\n  gestionnaires — masqué tant que <10 fiches notées, annuaire déménageurs)\n- statsdash.py : fusion statsfiche.panels() + statsextra.panels()\n- rendu 100 % générique par le kit stats existant (aucun changement frontend)\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push -q origin main && git log -1 --format=\"%h %s\"'","description":"Restart lou-ka, verify dashboard, commit and push"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bsyi2e0lm","tool_use_id":"toolu_019z415BzYq4SHdeNPJgfU1A","description":"Restart lou-ka, verify dashboard, commit and push","task_type":"local_bash","uuid":"3d56f5f1-a167-42f8-9a8e-cd7703b1ba01","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bsyi2e0lm","tool_use_id":"toolu_019z415BzYq4SHdeNPJgfU1A","status":"completed","output_file":"","summary":"Restart lou-ka, verify dashboard, commit and push","uuid":"008a2040-7820-41c1-8a44-f1106bac5f1c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019z415BzYq4SHdeNPJgfU1A","type":"tool_result","content":"panneaux dashboard: ['enrichissement', 'kascores', 'juste_valeur', 'historique_prix', 'court_terme', 'annuaire_demenageurs', 'registre_loyers', 'population', 'essence']\nstats page:200 home:200\ncd9f3fc Stats : panneaux « enrichissements de la fiche » (KA Scores, juste valeur, historique des prix, court terme, gestionnaires, annuaire déménageurs)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"079362e8-2cd8-45c2-a0e0-9395c37653ab","timestamp":"2026-08-25T00:27:17.897Z","tool_use_result":{"stdout":"panneaux dashboard: ['enrichissement', 'kascores', 'juste_valeur', 'historique_prix', 'court_terme', 'annuaire_demenageurs', 'registre_loyers', 'population', 'essence']\nstats page:200 home:200\ncd9f3fc Stats : panneaux « enrichissements de la fiche » (KA Scores, juste valeur, historique des prix, court terme, gestionnaires, annuaire déménageurs)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"68a54bb4-8f35-448d-be3b-718a65a9667a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"f05ff757-ce4f-424a-b200-f8c863c4151a","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":120,"estimated_tokens_delta":70,"uuid":"895643a2-c809-48ba-8c2c-ae57d003921e","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX31q8u57RDyBneYguT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1016,"cache_read_input_tokens":205252,"cache_creation":{"ephemeral_5m_input_tokens":1016,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"94b057c6-8017-4cb6-bfe8-182790597dbe","request_id":"req_011CeNX2zFPUm77bQyD7K4PK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX31q8u57RDyBneYguT","type":"message","role":"assistant","content":[{"type":"text","text":"Lou-Ka : 9 panneaux en ligne (6 nouveaux + 3 territoire), commit `cd9f3fc`. Passons à Immo-Ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1016,"cache_read_input_tokens":205252,"cache_creation":{"ephemeral_5m_input_tokens":1016,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"ddff4fdd-d45c-4c7c-88d5-fcb2c81f75de","request_id":"req_011CeNX2zFPUm77bQyD7K4PK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX31q8u57RDyBneYguT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GH73zGp5HxTkpXnEyjxdZP","name":"TaskUpdate","input":{"taskId":"6","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1016,"cache_read_input_tokens":205252,"cache_creation":{"ephemeral_5m_input_tokens":1016,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"03b4a8a1-2b0e-4b5c-9149-8507dddca264","request_id":"req_011CeNX2zFPUm77bQyD7K4PK"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GH73zGp5HxTkpXnEyjxdZP","type":"tool_result","content":"Updated task #6 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"3b0ef0a4-fa5d-4891-ae78-c9de46cf69dc","timestamp":"2026-08-25T00:27:32.811Z","tool_use_result":{"success":true,"taskId":"6","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX31q8u57RDyBneYguT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VcxAAAhH2rodN2VNwPciSs","name":"TaskUpdate","input":{"taskId":"7","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1016,"cache_read_input_tokens":205252,"cache_creation":{"ephemeral_5m_input_tokens":1016,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"a891272e-68bf-49d5-b002-64c78076de36","request_id":"req_011CeNX2zFPUm77bQyD7K4PK"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcxAAAhH2rodN2VNwPciSs","type":"tool_result","content":"Updated task #7 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"1dfdfd1b-d71a-403a-a3f0-801b9eae7368","timestamp":"2026-08-25T00:27:33.528Z","tool_use_result":{"success":true,"taskId":"7","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX31q8u57RDyBneYguT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HykcVgRbvupHU59EYUvEJU","name":"Bash","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M4M64a 'grep -c \"panels\" ~/apps/immo-ka/frontend/src/pages/Stats.tsx' && scp -q immoka_statsfiche.py M4M64a:~/apps/immo-ka/immoka/statsfiche.py && ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"1006,1016p\" immoka/stats.py'","description":"Check immo-ka panels rendering, copy module, view hook site"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1016,"cache_read_input_tokens":205252,"cache_creation":{"ephemeral_5m_input_tokens":1016,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"eac4de9d-4537-495c-b0b8-ef96d3cfae03","request_id":"req_011CeNX2zFPUm77bQyD7K4PK"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd ~/ka-orchestrator/demenageurs && ssh M4M64a 'grep -c \"panels\" ~/apps/immo-ka/frontend/src/pages/Stats.tsx' && scp -q immoka_statsfiche.py M4M64a:~/apps/immo-ka/immoka/statsfiche.py && ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"1006,1016p\" immoka/stats.py'","description":"Check immo-ka panels rendering, copy module, view hook site"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HykcVgRbvupHU59EYUvEJU","type":"tool_result","content":"2\n        out[\"heatmap\"] = heatmap\n    if hourly:\n        out[\"hourly\"] = hourly\n    try:\n        from . import statsextra\n        pnls = statsextra.panels(con)\n        if pnls:\n            out[\"panels\"] = pnls\n    except Exception:\n        pass\n    return out","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"e4bc6a43-a030-4deb-a02f-110e0f2def13","timestamp":"2026-08-25T00:27:35.761Z","tool_use_result":{"stdout":"2\n        out[\"heatmap\"] = heatmap\n    if hourly:\n        out[\"hourly\"] = hourly\n    try:\n        from . import statsextra\n        pnls = statsextra.panels(con)\n        if pnls:\n            out[\"panels\"] = pnls\n    except Exception:\n        pass\n    return out","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"22804115-bf08-4c3c-8b00-8c48b375554c","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX4LCiToG4Me8v57iM7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VK9TH9W4TSGJhcCuZFrHid","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && python3 - <<EOF\nfrom pathlib import Path\np = Path(\"immoka/stats.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = \"\"\"        from . import statsextra\n        pnls = statsextra.panels(con)\"\"\"\nnew = \"\"\"        from . import statsextra, statsfiche\n        pnls = statsfiche.panels(con) + statsextra.panels(con)\"\"\"\nassert old in t or new in t\nif new not in t:\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\nprint(\"hook ok\")\nEOF\npython3 - <<EOF\nimport sys; sys.path.insert(0, \".\")\nfrom immoka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    kv = \"; \".join(str(k[\"label\"]) + \"=\" + str(k[\"value\"]) for k in p.get(\"kpis\", [])[:5])\n    print(\"--\", p[\"id\"], \"|\", kv)\nEOF'","description":"Hook immo-ka stats.py and dry-run panels","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":752,"cache_read_input_tokens":206268,"cache_creation":{"ephemeral_5m_input_tokens":752,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"37241980-5ab1-4bc9-b4fb-a6c6830c12e3","request_id":"req_011CeNX4JYFGXn2nciXz6dBg"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && python3 - <<EOF\nfrom pathlib import Path\np = Path(\"immoka/stats.py\")\nt = p.read_text(encoding=\"utf-8\")\nold = \"\"\"        from . import statsextra\n        pnls = statsextra.panels(con)\"\"\"\nnew = \"\"\"        from . import statsextra, statsfiche\n        pnls = statsfiche.panels(con) + statsextra.panels(con)\"\"\"\nassert old in t or new in t\nif new not in t:\n    p.write_text(t.replace(old, new, 1), encoding=\"utf-8\")\nprint(\"hook ok\")\nEOF\npython3 - <<EOF\nimport sys; sys.path.insert(0, \".\")\nfrom immoka import db, statsfiche\ncon = db.connect()\nps = statsfiche.panels(con)\nprint(\"panneaux:\", [p[\"id\"] for p in ps])\nfor p in ps:\n    kv = \"; \".join(str(k[\"label\"]) + \"=\" + str(k[\"value\"]) for k in p.get(\"kpis\", [])[:5])\n    print(\"--\", p[\"id\"], \"|\", kv)\nEOF'","timeout":180000,"description":"Hook immo-ka stats.py and dry-run panels"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VK9TH9W4TSGJhcCuZFrHid","type":"tool_result","content":"hook ok\npanneaux: ['enrichissement', 'vraiprix', 'historique_prix', 'hypotheques', 'annuaires']\n-- enrichissement | Fiches actives=81307; Avec estimation Vrai-Prix=72.0; Photos auditées (cumul)=282289; Points de prix consignés=115418\n-- vraiprix | Propriétés avec estimation=46834; Écart médian demandé vs estimé=9.0; Au-dessus de l'estimation (> +10 %)=48.6; Prix juste (−5 % à +10 %)=24.0\n-- historique_prix | Points de prix consignés=115418; Propriétés avec changement de prix=3661; Baisses de prix détectées=3680; Baisse médiane=20000\n-- hypotheques | Produits hypothécaires suivis=220; Institutions financières=12; Meilleur 5 ans fixe=4.04; Meilleur 5 ans variable=3.65\n-- annuaires | Déménageurs répertoriés=565; Inspecteurs en bâtiment=542; Note médiane — déménageurs=4.8; Note médiane — inspecteurs=5.0","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"7b5dae4a-476b-48d4-b31d-aec903ee72a5","timestamp":"2026-08-25T00:27:45.584Z","tool_use_result":{"stdout":"hook ok\npanneaux: ['enrichissement', 'vraiprix', 'historique_prix', 'hypotheques', 'annuaires']\n-- enrichissement | Fiches actives=81307; Avec estimation Vrai-Prix=72.0; Photos auditées (cumul)=282289; Points de prix consignés=115418\n-- vraiprix | Propriétés avec estimation=46834; Écart médian demandé vs estimé=9.0; Au-dessus de l'estimation (> +10 %)=48.6; Prix juste (−5 % à +10 %)=24.0\n-- historique_prix | Points de prix consignés=115418; Propriétés avec changement de prix=3661; Baisses de prix détectées=3680; Baisse médiane=20000\n-- hypotheques | Produits hypothécaires suivis=220; Institutions financières=12; Meilleur 5 ans fixe=4.04; Meilleur 5 ans variable=3.65\n-- annuaires | Déménageurs répertoriés=565; Inspecteurs en bâtiment=542; Note médiane — déménageurs=4.8; Note médiane — inspecteurs=5.0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8efede2d-d94f-4615-b4ba-51dbd53ebac0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2bae98e7-6c4c-4be6-88cb-119969f5f001","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":123,"estimated_tokens_delta":73,"uuid":"d888a0ce-f4c2-46d1-9772-a26047595535","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX554AM2cNmhPKkpxkP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":884,"cache_read_input_tokens":207020,"cache_creation":{"ephemeral_5m_input_tokens":884,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"33494004-fc49-42fb-9cb5-1060c2ef0390","request_id":"req_011CeNX52bahW5f26h8eWBtr"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX554AM2cNmhPKkpxkP","type":"message","role":"assistant","content":[{"type":"text","text":"Les 5 panneaux Immo-Ka calculent parfaitement (meilleur 5 ans fixe 4,04 %, écart Vrai-Prix médian +9 %…). Restart + vérification + commit."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":884,"cache_read_input_tokens":207020,"cache_creation":{"ephemeral_5m_input_tokens":884,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"30d65a18-a220-4683-890b-c19896a88115","request_id":"req_011CeNX52bahW5f26h8eWBtr"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX554AM2cNmhPKkpxkP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T37Gvo8Kg7HndKkRXxw7u1","name":"Bash","input":{"command":"ssh M4M64a 'pm2 restart immo-ka-web --update-env >/dev/null 2>&1 && sleep 4 && curl -s \"localhost:8096/api/stats/dashboard?period=30j\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nprint(\\\"panneaux dashboard:\\\", [p[\\\"id\\\"] for p in d.get(\\\"panels\\\", [])])\" && curl -s -o /dev/null -w \"stats:%{http_code} home:\" https://www.immo-ka.com/stats && curl -s -o /dev/null -w \"%{http_code}\\n\" localhost:8096/ && cd ~/apps/immo-ka && git add immoka/statsfiche.py immoka/stats.py && git commit -q -m \"Stats : panneaux « enrichissements de la fiche » (Vrai-Prix, historique des prix, taux hypothécaires, annuaires)\n\n- immoka/statsfiche.py : 5 panneaux calculés sur les données réelles des fiches\n  (couverture des enrichissements + couches branchées, écarts prix demandé vs\n  estimation Vrai-Prix par ville + verdicts, baisses/hausses de prix suivies,\n  meilleurs taux hypothécaires réels par institution et par terme, annuaires\n  déménageurs + inspecteurs en bâtiment)\n- stats.py : fusion statsfiche.panels() + statsextra.panels()\n- rendu 100 % générique par le kit stats existant (aucun changement frontend)\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push -q origin main && git log -1 --format=\"%h %s\"'","description":"Restart immo-ka, verify dashboard, commit and push"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":884,"cache_read_input_tokens":207020,"cache_creation":{"ephemeral_5m_input_tokens":884,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6cf3642a-53d6-42fa-a100-52dab7465ebb","request_id":"req_011CeNX52bahW5f26h8eWBtr"}}
{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"ssh M4M64a 'pm2 restart immo-ka-web --update-env >/dev/null 2>&1 && sleep 4 && curl -s \"localhost:8096/api/stats/dashboard?period=30j\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nprint(\\\"panneaux dashboard:\\\", [p[\\\"id\\\"] for p in d.get(\\\"panels\\\", [])])\" && curl -s -o /dev/null -w \"stats:%{http_code} home:\" https://www.immo-ka.com/stats && curl -s -o /dev/null -w \"%{http_code}\\n\" localhost:8096/ && cd ~/apps/immo-ka && git add immoka/statsfiche.py immoka/stats.py && git commit -q -m \"Stats : panneaux « enrichissements de la fiche » (Vrai-Prix, historique des prix, taux hypothécaires, annuaires)\n\n- immoka/statsfiche.py : 5 panneaux calculés sur les données réelles des fiches\n  (couverture des enrichissements + couches branchées, écarts prix demandé vs\n  estimation Vrai-Prix par ville + verdicts, baisses/hausses de prix suivies,\n  meilleurs taux hypothécaires réels par institution et par terme, annuaires\n  déménageurs + inspecteurs en bâtiment)\n- stats.py : fusion statsfiche.panels() + statsextra.panels()\n- rendu 100 % générique par le kit stats existant (aucun changement frontend)\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push -q origin main && git log -1 --format=\"%h %s\"'","description":"Restart immo-ka, verify dashboard, commit and push"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b62vpxq94","tool_use_id":"toolu_01T37Gvo8Kg7HndKkRXxw7u1","description":"Restart immo-ka, verify dashboard, commit and push","task_type":"local_bash","uuid":"05ebf08b-77b2-4aae-8897-641cd81f3c85","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b62vpxq94","tool_use_id":"toolu_01T37Gvo8Kg7HndKkRXxw7u1","status":"completed","output_file":"","summary":"Restart immo-ka, verify dashboard, commit and push","uuid":"8e28e7b4-4aa2-43c8-b528-1832b6fb7a43","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T37Gvo8Kg7HndKkRXxw7u1","type":"tool_result","content":"panneaux dashboard: ['enrichissement', 'vraiprix', 'historique_prix', 'hypotheques', 'annuaires', 'registre_loyers', 'population', 'essence']\nstats:200 home:200\n97df6cf Stats : panneaux « enrichissements de la fiche » (Vrai-Prix, historique des prix, taux hypothécaires, annuaires)","is_error":false}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"eea6ae2f-84d2-4094-a088-0eaff5c51196","timestamp":"2026-08-25T00:28:11.123Z","tool_use_result":{"stdout":"panneaux dashboard: ['enrichissement', 'vraiprix', 'historique_prix', 'hypotheques', 'annuaires', 'registre_loyers', 'population', 'essence']\nstats:200 home:200\n97df6cf Stats : panneaux « enrichissements de la fiche » (Vrai-Prix, historique des prix, taux hypothécaires, annuaires)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d3ae2e4d-b350-4cdd-88d4-086f0eea5ab0","session_id":"49bdd1d3-5283-4475-898f-834f4ab20055"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX6wfUM78BrmeQVPKaw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PvXYJGD5hNaQMeThAekFr1","name":"TaskUpdate","input":{"taskId":"7","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":961,"cache_read_input_tokens":207904,"cache_creation":{"ephemeral_5m_input_tokens":961,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"fdc43a7c-549c-4d04-9681-74253b6506e1","request_id":"req_011CeNX6upqfbKfkJ73tmKwb"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PvXYJGD5hNaQMeThAekFr1","type":"tool_result","content":"Updated task #7 status"}]},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"6e11945b-b407-4483-b753-631050b36e63","timestamp":"2026-08-25T00:28:17.425Z","tool_use_result":{"success":true,"taskId":"7","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX6wfUM78BrmeQVPKaw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YbZL326RKTnWCDnheYLe3g","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-ka-orchestrator/memory/ka-statsfiche-panneaux.md","content":"---\nname: ka-statsfiche-panneaux\ndescription: Panneaux stats « enrichissements de la fiche » (statsfiche.py) sur lou-ka et immo-ka — contrat panels du kit stats, rendu 100 % générique\nmetadata:\n  type: project\n---\n\n2026-08-24 : pages /stats de **lou-ka** (commit `cd9f3fc`) et **immo-ka** (commit `97df6cf`) enrichies via un nouveau module **`<pkg>/statsfiche.py`** (panneaux « enrichissements de la fiche »), fusionné aux panneaux territoire existants : `pnls = statsfiche.panels(con) + statsextra.panels(con)` (hook dans `louka/statsdash.py` et `immoka/stats.py`).\n\n- **Contrat panel** (kit stats KA, rendu générique dans Stats.tsx — AUCUN changement frontend nécessaire) : `{id, title, subtitle, kpis:[{id,label,value,unit}], breakdowns:[{id,title,kind:\"bar\"|\"donut\",items:[{label,value}]}], distributions:[{id,title,unit,bins}], tables:[{id,title,columns,rows}]}`. Un panneau est masqué s'il retourne None ou est vide ; chaque calcul est enveloppé de try/except ; cache 30 min (`_CACHE`).\n- **Lou-ka** (6 panneaux actifs) : enrichissement (couverture % + table des couches), kascores, juste_valeur (verdicts marche/sous/sur, heuristique d'unité deviation ×100 si fraction), historique_prix (price_log 96k + listing_events), court_terme (louka_ct.db, CITQ, notes), annuaire_demenageurs. Panneau `gestionnaires` auto-masqué : 1 seul manager avec gmaps_rating sur 203 — apparaîtra quand le pipeline managers se remplira.\n- **Immo-ka** (5 panneaux) : enrichissement, vraiprix (json_extract '$.value', bornes -80/+300 %), historique_prix (115k points), hypotheques (mortgage.db rate_observations, fixed/variable term 60), annuaires (déménageurs+inspecteurs).\n- Filtres actifs : lou-ka `active=1 AND published=1 AND dup_of IS NULL` ; immo-ka `active=1 AND (dup_hidden IS NULL OR dup_hidden=0)` (ne PAS filtrer sur published côté immo).\n- Copies maîtres : `~/ka-orchestrator/demenageurs/louka_statsfiche.py` / `immoka_statsfiche.py`.\n\nVoir aussi [[ka-annuaire-demenageurs]], [[ka-stats-v3-rapports-personnalises]].\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":961,"cache_read_input_tokens":207904,"cache_creation":{"ephemeral_5m_input_tokens":961,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"ba43fa00-3774-4b7d-894d-a676f18be213","request_id":"req_011CeNX6upqfbKfkJ73tmKwb"}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeNX8sEdKPDe3ommEXd2n","type":"message","role":"assistant","content":[{"type":"text","text":"C'est fait — les deux pages `/stats` affichent maintenant toutes les nouveautés des fiches, calculées sur les données réelles.\n\n## Bilan\n\nJ'ai créé un module `statsfiche.py` par app (panneaux « enrichissements de la fiche »), fusionné aux panneaux territoire existants. Le kit stats KA rend les panneaux de façon générique (KPI, anneaux, barres, histogrammes, tableaux), donc **zéro changement frontend** — tout est côté backend, avec cache 30 min et calculs défensifs (un panneau disparaît si sa source est vide).\n\n**Lou-Ka — https://www.lou-ka.com/stats** (commit `cd9f3fc`), 6 nouveaux panneaux :\n- **Enrichissement des fiches** : 45 405 fiches actives, complétude moyenne 91,1 %, barres de couverture (géocodage, quartier, KA Scores 95 %, juste valeur 97 %, immeuble, photos) + tableau des 10 couches branchées (690 200 photos vérifiées, 31 874 passeports d'immeuble, zones inondables, TAL, Hydro…).\n- **KA Scores** : score médian 78,9/100, médiane par pilier, distribution, top villes.\n- **Juste valeur** : 43 993 loyers évalués, verdicts en anneau (24,5 % au-dessus du marché, 23,9 % d'aubaines), histogramme des écarts, villes les plus surchauffées.\n- **Historique des prix** : 96 328 points de prix, 2 832 baisses détectées (médiane −6,1 %), plus les événements de vie des annonces (photos, disparitions…).\n- **Court terme** : 41 460 hébergements, 22 plateformes, 250 $/nuit médian, 39,5 % avec n° CITQ, prix par région.\n- **Annuaire des déménageurs** : 565 entreprises, 17 régions, note médiane 4,8.\n\n**Immo-Ka — https://www.immo-ka.com/stats** (commit `97df6cf`), 5 nouveaux panneaux :\n- **Enrichissement des fiches** : 81 307 fiches, 72 % avec estimation Vrai-Prix, 282 289 photos auditées + tableau des 11 couches (dont les deux annuaires).\n- **Vrai-Prix** : 46 834 propriétés estimées, écart médian +9 %, 48,6 % au-dessus de l'estimation, histogramme + villes où les prix demandés dépassent le plus l'estimé.\n- **Historique des prix** : 115 418 points, 3 680 baisses (baisse médiane 20 000 $).\n- **Taux hypothécaires** : 220 produits, 12 institutions, meilleur 5 ans fixe 4,04 % / variable 3,65 %, barres par institution et par terme.\n- **Annuaires** : 565 déménageurs + 542 inspecteurs, notes médianes, répartition régionale.\n\nLes deux apps sont redémarrées, healthchecks verts (stats 200, accueil 200, les panneaux apparaissent bien dans `/api/stats/dashboard`), commits poussés sur spbgit, arbres propres.\n\nUn détail à savoir : le panneau **Gestionnaires** (réputation Google) est codé sur Lou-Ka mais s'auto-masque, car un seul gestionnaire sur 203 a une fiche Google résolue pour l'instant — il apparaîtra tout seul dès que le pipeline `run.py managers` aura tourné davantage."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":569,"cache_read_input_tokens":210183,"cache_creation":{"ephemeral_5m_input_tokens":569,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"49bdd1d3-5283-4475-898f-834f4ab20055","uuid":"76392599-6118-4930-aee1-4d697a7b80ed","request_id":"req_011CeNX8qNWDeHjS3v2EVZBf"}}
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