feat(commerces): bannieres de proximite adaptees a chaque province

Paniers par province fondes sur la presence reelle des chaines (Loblaw n.1
national, Sobeys n.2 dominant Atlantique, Metro Ontario, Pattison/Save-On-Foods
~180 magasins Ouest+Yukon, Co-op ~300 magasins SK, monopoles d alcool
provinciaux LCBO/BC Liquor/Liquor Mart/NB Liquor/NSLC, Kent Irving Atlantique,
Dominion et Colemans a Terre-Neuve, London Drugs BC/AB).

- commerces.py : BRAND_DEFS + PROVINCE_BRANDS + inference lat/lng de repli
- /api/commerces?region=<province> ; fiche passe l.region
- NearbyPlaces : ~30 pastilles monogrammes aux couleurs des bannieres

Simon-Pierre Boucher committed 2 mo ago (Aug 27, 2026) parent 852c914 Browse files

5 changed files +196 −51

modified frontend/src/api.ts +4 −2

				`@@ -379,5 +379,7 @@ export interface CommercesNearby {`
379	n: number; commerces: CommerceItem[]; transit?: CommerceItem[];	379	n: number; commerces: CommerceItem[]; transit?: CommerceItem[];
380	}	380	}
381		381
382	−export const fetchCommerces = (lat: number, lng: number) =>	382	+export const fetchCommerces = (lat: number, lng: number, region?: string) =>
383	− get<CommercesNearby>(`/api/commerces?lat=${lat}&lng=${lng}`);	383	+ get<CommercesNearby>(
		384	+ `/api/commerces?lat=${lat}&lng=${lng}` +
		385	+ (region ? `&region=${encodeURIComponent(region)}` : ""));

modified frontend/src/components/NearbyPlaces.tsx +42 −12

				`@@ -15,20 +15,50 @@ const ICONS: Record<string, [string, string, string?]> = {`
15	rem_station: ["#84BD00", "R"],	15	rem_station: ["#84BD00", "R"],
16	arret_bus: ["#4E5357", "B"],	16	arret_bus: ["#4E5357", "B"],
17	gare_train: ["#6E5B3F", "T"],	17	gare_train: ["#6E5B3F", "T"],
		18	+ // national
18	costco: ["#005DAA", "C"],	19	costco: ["#005DAA", "C"],
19	walmart: ["#0071CE", "W"],	20	walmart: ["#0071CE", "W"],
20	− metro: ["#EF3E42", "M"],
21	− iga: ["#D50032", "IGA"],
22	− maxi: ["#0079C1", "Mx"],
23	− superc: ["#E4002B", "SC"],
24	− provigo: ["#DA291C", "P"],
25	canadiantire: ["#D6001C", "CT"],	21	canadiantire: ["#D6001C", "CT"],
26	dollarama: ["#00B140", "D", "#FFDD00"],	22	dollarama: ["#00B140", "D", "#FFDD00"],
27	− saq: ["#892034", "SAQ"],
28	− pharmaprix: ["#E11B22", "Ph"],
29	− jeancoutu: ["#003DA5", "JC"],
30	homedepot: ["#F96302", "HD"],	23	homedepot: ["#F96302", "HD"],
		24	+ homehardware: ["#DA291C", "HH"],
		25	+ shoppers: ["#E51937", "SDM"],
		26	+ gianttiger: ["#FFD200", "GT", "#D6001C"],
		27	+ // grocery — Loblaw banners
		28	+ loblaws: ["#E4002B", "L"],
		29	+ superstore: ["#D22630", "RCS"],
		30	+ atlanticsuperstore: ["#D22630", "AS"],
		31	+ nofrills: ["#FFDD00", "NF", "#111111"],
		32	+ zehrs: ["#C8102E", "Z"],
		33	+ dominion: ["#C8102E", "Do"],
		34	+ independent: ["#C8102E", "YIG"],
		35	+ // grocery — Empire/Sobeys banners
		36	+ sobeys: ["#00563F", "S"],
		37	+ safeway: ["#ED1C24", "SW"],
		38	+ foodland: ["#00794A", "FL"],
		39	+ freshco: ["#54B948", "FC"],
		40	+ // grocery — Metro (Ontario)
		41	+ metro: ["#EF3E42", "M"],
		42	+ foodbasics: ["#EE3124", "FB"],
		43	+ // grocery — western / co-ops / regional
		44	+ saveon: ["#00543D", "SOF"],
		45	+ coop: ["#00843D", "CO"],
		46	+ colemans: ["#0067B1", "Cm"],
		47	+ iga: ["#D50032", "IGA"],
		48	+ // provincial liquor boards
		49	+ lcbo: ["#00532A", "LC"],
		50	+ beerstore: ["#1E4620", "TBS"],
		51	+ bcliquor: ["#003E51", "BCL"],
		52	+ liquormart: ["#004F9F", "LM"],
		53	+ nbliquor: ["#00539F", "NBL"],
		54	+ nslc: ["#0B4F32", "NSL"],
		55	+ // regional pharmacies
		56	+ londondrugs: ["#004F9F", "LD"],
		57	+ rexall: ["#003087", "Rx"],
		58	+ lawtons: ["#00539F", "Lw"],
		59	+ // hardware
31	rona: ["#1B4298", "R"],	60	rona: ["#1B4298", "R"],
		61	+ kent: ["#006A4D", "K"],
32	};	62	};
33		63
34	function Chip({ id }: { id: string }) {	64	function Chip({ id }: { id: string }) {
				`@@ -47,14 +77,14 @@ function Chip({ id }: { id: string }) {`
47	);	77	);
48	}	78	}
49		79
50	−export default function NearbyPlaces({ lat, lng }:	80	+export default function NearbyPlaces({ lat, lng, region }:
51	− { lat: number \| null; lng: number \| null }) {	81	+ { lat: number \| null; lng: number \| null; region?: string }) {
52	const [d, setD] = useState<CommercesNearby \| null>(null);	82	const [d, setD] = useState<CommercesNearby \| null>(null);
53	useEffect(() => {	83	useEffect(() => {
54	setD(null);	84	setD(null);
55	if (lat == null \|\| lng == null) return;	85	if (lat == null \|\| lng == null) return;
56	− fetchCommerces(lat, lng).then(setD).catch(() => setD(null));	86	+ fetchCommerces(lat, lng, region).then(setD).catch(() => setD(null));
57	− }, [lat, lng]);	87	+ }, [lat, lng, region]);
58	if (lat == null \|\| lng == null \|\| !d) return null;	88	if (lat == null \|\| lng == null \|\| !d) return null;
59	const all = [...(d.transit ?? []), ...(d.commerces ?? [])];	89	const all = [...(d.transit ?? []), ...(d.commerces ?? [])];
60	if (all.length === 0) return null;	90	if (all.length === 0) return null;

modified frontend/src/pages/Listing.tsx +4 −2

				`@@ -425,8 +425,10 @@ export default function ListingPage() {`
425	{/* financing: real mortgage rates + Canadian calculator */}	425	{/* financing: real mortgage rates + Canadian calculator */}
426	{isSale && <Financing price={l.price} />}	426	{isSale && <Financing price={l.price} />}
427		427
428	− {/* nearby amenities: full width, AFTER the property info (correct mobile order) */}	428	+ {/* nearby amenities: full width, AFTER the property info (correct mobile order) —
429	− <NearbyPlaces lat={l.lat} lng={l.lng} />	429	+ the banner basket is per-province (Save-On-Foods in BC, Sobeys in the
		430	+ Atlantic, Co-op in SK, LCBO in ON…) */}
		431	+ <NearbyPlaces lat={l.lat} lng={l.lng} region={l.region} />
430		432
431	<div className="fine f-foot">	433	<div className="fine f-foot">
432	Prices and availability are those displayed by the source — every	434	Prices and availability are those displayed by the source — every

modified immoka/commerces.py +142 −32

				`@@ -1,14 +1,23 @@`
1	# -----------------------------------------------------------------------------	1	# -----------------------------------------------------------------------------
2	−# Immo-Ka — Agrégateur de propriétés à vendre (province de Québec)	2	+# House-Ka — Agrégateur de maisons à vendre (Canada hors Québec)
3	# Auteur : Simon-Pierre Boucher — contact@spboucher.ai	3	# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
4	−# commerces.py : grands commerces à proximité — API Mapbox Search Box	4	+# commerces.py : grands commerces à proximité — API Mapbox Search Box,
		5	+# bannières ADAPTÉES À CHAQUE PROVINCE.
5	#	6	#
6	−# Pour chaque grande bannière (Costco, Metro, IGA, Walmart…), on interroge	7	+# Pour chaque grande bannière du panier provincial, on interroge l'API
7	−# l'API Search Box de Mapbox (jeton PUBLIC pk.… lu dans	8	+# Search Box de Mapbox (jeton PUBLIC pk.… lu dans
8	−# frontend/src/kamaps/config.ts — source de vérité du projet) avec la	9	+# frontend/src/kamaps/config.ts) avec la position de l'annonce en
9	−# position de l'annonce en `proximity`, et on retient le point de vente le	10	+# `proximity`, et on retient le point de vente le plus proche. Cache par
10	−# plus proche. Cache par cellule d'environ 1 km (data/commerces.db,	11	+# cellule d'environ 1 km (data/commerces.db, TTL 30 jours).
11	−# TTL 30 jours) : les fiches d'un même secteur ne recoûtent rien.	12	+#
		13	+# Paniers par province (2026-08) — fondés sur la présence réelle des
		14	+# chaînes : Loblaw n°1 national (Superstore/No Frills, Zehrs ON, Dominion NL),
		15	+# Sobeys n°2 (dominant en Atlantique : Sobeys/Foodland/Lawtons), Metro n°3
		16	+# (Ontario+Québec, Food Basics), Pattison/Save-On-Foods ~180 magasins dans
		17	+# l'Ouest + Yukon, Co-op (FCL) ~300 magasins en Saskatchewan, monopoles
		18	+# d'alcool provinciaux (LCBO, BC Liquor, Liquor Mart MB, NB Liquor, NSLC),
		19	+# Kent (Irving) en quincaillerie atlantique, London Drugs (BC/AB),
		20	+# Colemans (chaîne terre-neuvienne).
12	# -----------------------------------------------------------------------------	21	# -----------------------------------------------------------------------------
13	from __future__ import annotations	22	from __future__ import annotations
14		23
				`@@ -28,26 +37,126 @@ UA = "HouseKaBot/1.0 (+https://www.house-ka.com; contact@spboucher.ai)"`
28	TTL = 30 * 86400	37	TTL = 30 * 86400
29	API = "https://api.mapbox.com/search/searchbox/v1/forward"	38	API = "https://api.mapbox.com/search/searchbox/v1/forward"
30		39
31	−# id, libellé, requête Mapbox, mot-clé de validation (le nom du POI doit le	40	+# id -> (libellé, requête Mapbox, mot-clé de validation — le nom du POI doit le
32	−# contenir, sans accents ni casse — écarte « Station Métro », « Super Qualité »…)	41	+# contenir, sans accents ni casse ; écarte « Station Métro », « Super Qualité »…)
33	−BRANDS = [	42	+BRAND_DEFS = {
34	− ("costco", "Costco", "Costco Wholesale", "costco"),	43	+ # nationaux
35	− ("walmart", "Walmart", "Walmart Supercentre", "walmart"),	44	+ "costco": ("Costco", "Costco Wholesale", "costco"),
36	− ("metro", "Metro", "Metro", "metro"),	45	+ "walmart": ("Walmart", "Walmart Supercentre", "walmart"),
37	− ("iga", "IGA", "IGA", "iga"),	46	+ "canadiantire": ("Canadian Tire", "Canadian Tire", "canadian tire"),
38	− ("maxi", "Maxi", "Maxi", "maxi"),	47	+ "dollarama": ("Dollarama", "Dollarama", "dollarama"),
39	− ("superc", "Super C", "Super C", "super c"),	48	+ "homedepot": ("Home Depot", "Home Depot", "home depot"),
40	− ("provigo", "Provigo", "Provigo", "provigo"),	49	+ "homehardware": ("Home Hardware", "Home Hardware", "home hardware"),
41	− ("canadiantire", "Canadian Tire", "Canadian Tire", "canadian tire"),	50	+ "shoppers": ("Shoppers Drug Mart", "Shoppers Drug Mart", "shoppers"),
42	− ("dollarama", "Dollarama", "Dollarama", "dollarama"),	51	+ "gianttiger": ("Giant Tiger", "Giant Tiger", "giant tiger"),
43	− ("saq", "SAQ", "SAQ", "saq"),	52	+ # épicerie — Loblaw
44	− ("pharmaprix", "Pharmaprix", "Pharmaprix", "pharmaprix"),	53	+ "loblaws": ("Loblaws", "Loblaws", "loblaws"),
45	− ("jeancoutu", "Jean Coutu", "Jean Coutu pharmacie", "jean coutu"),	54	+ "superstore": ("Real Canadian Superstore", "Real Canadian Superstore", "superstore"),
46	− ("homedepot", "Home Depot", "Home Depot", "home depot"),	55	+ "atlanticsuperstore": ("Atlantic Superstore", "Atlantic Superstore", "superstore"),
47	− ("rona", "RONA", "RONA", "rona"),	56	+ "nofrills": ("No Frills", "No Frills", "no frills"),
48	−]	57	+ "zehrs": ("Zehrs", "Zehrs", "zehrs"),
49	−	58	+ "dominion": ("Dominion", "Dominion grocery", "dominion"),
50	−_BAN = ("station", "stationnement")	59	+ "independent": ("Your Independent Grocer", "Your Independent Grocer", "independent"),
		60	+ # épicerie — Empire/Sobeys
		61	+ "sobeys": ("Sobeys", "Sobeys", "sobeys"),
		62	+ "safeway": ("Safeway", "Safeway", "safeway"),
		63	+ "foodland": ("Foodland", "Foodland", "foodland"),
		64	+ "freshco": ("FreshCo", "FreshCo", "freshco"),
		65	+ # épicerie — Metro (Ontario)
		66	+ "metro": ("Metro", "Metro grocery", "metro"),
		67	+ "foodbasics": ("Food Basics", "Food Basics", "food basics"),
		68	+ # épicerie — Ouest / coopératives / régionales
		69	+ "saveon": ("Save-On-Foods", "Save-On-Foods", "save-on"),
		70	+ "coop": ("Co-op", "Co-op Food Store", "co-op"),
		71	+ "colemans": ("Colemans", "Colemans grocery", "colemans"),
		72	+ "iga": ("IGA", "IGA", "iga"),
		73	+ # alcool (monopoles/sociétés provinciales)
		74	+ "lcbo": ("LCBO", "LCBO", "lcbo"),
		75	+ "beerstore": ("The Beer Store", "The Beer Store", "beer store"),
		76	+ "bcliquor": ("BC Liquor", "BC Liquor Store", "liquor"),
		77	+ "liquormart": ("Liquor Mart", "Manitoba Liquor Mart", "liquor mart"),
		78	+ "nbliquor": ("NB Liquor", "NB Liquor Alcool NB", "liquor"),
		79	+ "nslc": ("NSLC", "NSLC", "nslc"),
		80	+ # pharmacies régionales
		81	+ "londondrugs": ("London Drugs", "London Drugs", "london drugs"),
		82	+ "rexall": ("Rexall", "Rexall", "rexall"),
		83	+ "lawtons": ("Lawtons", "Lawtons Drugs", "lawtons"),
		84	+ # quincaillerie
		85	+ "rona": ("RONA", "RONA", "rona"),
		86	+ "kent": ("Kent", "Kent Building Supplies", "kent"),
		87	+}
		88	+
		89	+_NATIONAL = ["costco", "walmart", "canadiantire", "dollarama", "homedepot",
		90	+ "shoppers"]
		91	+
		92	+# panier par province — les bannières LES PLUS PRÉSENTES dans chaque marché
		93	+PROVINCE_BRANDS = {
		94	+ "British Columbia": _NATIONAL + ["saveon", "superstore", "safeway",
		95	+ "nofrills", "iga", "londondrugs",
		96	+ "bcliquor", "homehardware"],
		97	+ "Alberta": _NATIONAL + ["superstore", "safeway", "saveon", "sobeys",
		98	+ "nofrills", "coop", "rexall", "homehardware"],
		99	+ "Saskatchewan": _NATIONAL + ["coop", "superstore", "sobeys", "safeway",
		100	+ "nofrills", "gianttiger", "homehardware"],
		101	+ "Manitoba": _NATIONAL + ["superstore", "coop", "sobeys", "safeway",
		102	+ "nofrills", "liquormart", "gianttiger",
		103	+ "homehardware"],
		104	+ "Ontario": _NATIONAL + ["loblaws", "nofrills", "foodbasics", "metro",
		105	+ "sobeys", "freshco", "zehrs", "lcbo", "beerstore",
		106	+ "rexall", "rona"],
		107	+ "New Brunswick": _NATIONAL + ["sobeys", "atlanticsuperstore", "foodland",
		108	+ "nofrills", "nbliquor", "kent", "lawtons",
		109	+ "gianttiger"],
		110	+ "Nova Scotia": _NATIONAL + ["sobeys", "atlanticsuperstore", "foodland",
		111	+ "nofrills", "nslc", "kent", "lawtons",
		112	+ "gianttiger"],
		113	+ "Prince Edward Island": _NATIONAL + ["sobeys", "atlanticsuperstore",
		114	+ "foodland", "kent", "lawtons",
		115	+ "gianttiger"],
		116	+ "Newfoundland and Labrador": _NATIONAL + ["sobeys", "dominion", "colemans",
		117	+ "foodland", "kent", "lawtons"],
		118	+ "Yukon": _NATIONAL + ["saveon", "superstore", "independent",
		119	+ "homehardware"],
		120	+ "Northwest Territories": _NATIONAL + ["independent", "coop",
		121	+ "homehardware"],
		122	+ "Nunavut": ["canadiantire", "independent", "coop", "homehardware"],
		123	+}
		124	+_DEFAULT_PROVINCE = "Ontario"
		125	+
		126	+# frontières longitudinales approximatives (repli quand la région est absente)
		127	+def _infer_province(lat: float, lng: float) -> str:
		128	+ if lat >= 60:
		129	+ if lng < -124:
		130	+ return "Yukon"
		131	+ return "Northwest Territories" if lng < -102 else "Nunavut"
		132	+ if lng < -120:
		133	+ return "British Columbia"
		134	+ if lng < -110:
		135	+ return "Alberta"
		136	+ if lng < -101.4:
		137	+ return "Saskatchewan"
		138	+ if lng < -95.15:
		139	+ return "Manitoba"
		140	+ if lng < -74.3:
		141	+ return "Ontario"
		142	+ if -64.5 <= lng <= -61.9 and 45.9 <= lat <= 47.1:
		143	+ return "Prince Edward Island"
		144	+ if lng >= -59.5 or lat >= 50.5:
		145	+ return "Newfoundland and Labrador"
		146	+ if lat < 46.05 or lng > -64.4:
		147	+ return "Nova Scotia"
		148	+ return "New Brunswick"
		149	+
		150	+
		151	+def _brands_for(region: str \| None, lat: float, lng: float):
		152	+ prov = (region or "").strip()
		153	+ if prov not in PROVINCE_BRANDS:
		154	+ prov = _infer_province(lat, lng)
		155	+ ids = PROVINCE_BRANDS.get(prov, PROVINCE_BRANDS[_DEFAULT_PROVINCE])
		156	+ return [(bid, *BRAND_DEFS[bid]) for bid in ids if bid in BRAND_DEFS]
		157	+
		158	+_BAN = ("station", "stationnement", "kentucky", "kentville",
		159	+ "co-operators", "cooperators")
51		160
52		161
53	def _norm(s: str) -> str:	162	def _norm(s: str) -> str:
				`@@ -227,15 +336,16 @@ def _transit_from_poi(lat: float, lng: float) -> list[tuple[str, dict]]:`
227	return out	336	return out
228		337
229		338
230	−def nearby(lat: float, lng: float) -> dict:	339	+def nearby(lat: float, lng: float, region: str \| None = None) -> dict:
231	− """Grand commerce le plus proche par bannière (cache ~1 km, TTL 30 j)."""	340	+ """Grand commerce le plus proche par bannière PROVINCIALE (cache ~1 km)."""
		341	+ brands = _brands_for(region, lat, lng)
232	cell = f"{round(lat, 2)},{round(lng, 2)}"	342	cell = f"{round(lat, 2)},{round(lng, 2)}"
233	con = _connect()	343	con = _connect()
234	now = time.time()	344	now = time.time()
235	cached = {r["brand"]: r for r in con.execute(	345	cached = {r["brand"]: r for r in con.execute(
236	"SELECT * FROM commerces_cache WHERE cellule=? AND fetched_at>?",	346	"SELECT * FROM commerces_cache WHERE cellule=? AND fetched_at>?",
237	(cell, now - TTL))}	347	(cell, now - TTL))}
238	− manquants = [(bid, q, m) for bid, _, q, m in BRANDS	348	+ manquants = [(bid, q, m) for bid, _, q, m in brands
239	if bid not in cached]	349	if bid not in cached]
240	transit_manquant = any(k not in cached for k, _ in TRANSIT)	350	transit_manquant = any(k not in cached for k, _ in TRANSIT)
241	if manquants or transit_manquant:	351	if manquants or transit_manquant:
				`@@ -279,7 +389,7 @@ def nearby(lat: float, lng: float) -> dict:`
279	"nom": r["nom"], "adresse": "",	389	"nom": r["nom"], "adresse": "",
280	"dist_m": round(d),	390	"dist_m": round(d),
281	"lat": r["lat"], "lng": r["lng"]})	391	"lat": r["lat"], "lng": r["lng"]})
282	− for bid, label, _q, _m in BRANDS:	392	+ for bid, label, _q, _m in brands:
283	r = cached.get(bid)	393	r = cached.get(bid)
284	if r is None:	394	if r is None:
285	continue	395	continue

modified immoka/web.py +4 −3

				`@@ -175,10 +175,11 @@ def list_listings(`
175		175
176		176
177	@app.get("/api/commerces")	177	@app.get("/api/commerces")
178	−def commerces_at(lat: float, lng: float):	178	+def commerces_at(lat: float, lng: float, region: str \| None = None):
179	− """Grands commerces + métro/bus les plus proches (Mapbox / OSM)."""	179	+ """Grands commerces (bannières PAR PROVINCE) + transit les plus proches
		180	+ (Mapbox / OSM). `region` = province de l'annonce ; sinon inférée du point."""
180	from . import commerces	181	from . import commerces
181	− return commerces.nearby(lat, lng)	182	+ return commerces.nearby(lat, lng, region=region)
182		183
183		184
184	@app.get("/api/listings/{uid}")	185	@app.get("/api/listings/{uid}")
185		186

spb/house-ka

feat(commerces): bannieres de proximite adaptees a chaque province

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