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	379	n: number; commerces: CommerceItem[]; transit?: CommerceItem[];
380	380	}
381	381
382		−export const fetchCommerces = (lat: number, lng: number) =>
383		− get<CommercesNearby>(`/api/commerces?lat=${lat}&lng=${lng}`);
	382	+export const fetchCommerces = (lat: number, lng: number, region?: string) =>
	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	15	rem_station: ["#84BD00", "R"],
16	16	arret_bus: ["#4E5357", "B"],
17	17	gare_train: ["#6E5B3F", "T"],
	18	+ // national
18	19	costco: ["#005DAA", "C"],
19	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	21	canadiantire: ["#D6001C", "CT"],
26	22	dollarama: ["#00B140", "D", "#FFDD00"],
27		− saq: ["#892034", "SAQ"],
28		− pharmaprix: ["#E11B22", "Ph"],
29		− jeancoutu: ["#003DA5", "JC"],
30	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	60	rona: ["#1B4298", "R"],
	61	+ kent: ["#006A4D", "K"],
32	62	};
33	63
34	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 }:
51		− { lat: number \| null; lng: number \| null }) {
	80	+export default function NearbyPlaces({ lat, lng, region }:
	81	+ { lat: number \| null; lng: number \| null; region?: string }) {
52	82	const [d, setD] = useState<CommercesNearby \| null>(null);
53	83	useEffect(() => {
54	84	setD(null);
55	85	if (lat == null \|\| lng == null) return;
56		− fetchCommerces(lat, lng).then(setD).catch(() => setD(null));
57		− }, [lat, lng]);
	86	+ fetchCommerces(lat, lng, region).then(setD).catch(() => setD(null));
	87	+ }, [lat, lng, region]);
58	88	if (lat == null \|\| lng == null \|\| !d) return null;
59	89	const all = [...(d.transit ?? []), ...(d.commerces ?? [])];
60	90	if (all.length === 0) return null;

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

		`@@ -425,8 +425,10 @@ export default function ListingPage() {`
425	425	{/* financing: real mortgage rates + Canadian calculator */}
426	426	{isSale && <Financing price={l.price} />}
427	427
428		− {/* nearby amenities: full width, AFTER the property info (correct mobile order) */}
429		− <NearbyPlaces lat={l.lat} lng={l.lng} />
	428	+ {/* nearby amenities: full width, AFTER the property info (correct mobile order) —
	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	433	<div className="fine f-foot">
432	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	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		−# l'API Search Box de Mapbox (jeton PUBLIC pk.… lu dans
8		−# frontend/src/kamaps/config.ts — source de vérité du projet) avec la
9		−# position de l'annonce en `proximity`, et on retient le point de vente le
10		−# plus proche. Cache par cellule d'environ 1 km (data/commerces.db,
11		−# TTL 30 jours) : les fiches d'un même secteur ne recoûtent rien.
	7	+# Pour chaque grande bannière du panier provincial, on interroge l'API
	8	+# Search Box de Mapbox (jeton PUBLIC pk.… lu dans
	9	+# frontend/src/kamaps/config.ts) avec la position de l'annonce en
	10	+# `proximity`, et on retient le point de vente le plus proche. Cache par
	11	+# cellule d'environ 1 km (data/commerces.db, TTL 30 jours).
	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	22	from __future__ import annotations
14	23
		`@@ -28,26 +37,126 @@ UA = "HouseKaBot/1.0 (+https://www.house-ka.com; contact@spboucher.ai)"`
28	37	TTL = 30 * 86400
29	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
32		−# contenir, sans accents ni casse — écarte « Station Métro », « Super Qualité »…)
33		−BRANDS = [
34		− ("costco", "Costco", "Costco Wholesale", "costco"),
35		− ("walmart", "Walmart", "Walmart Supercentre", "walmart"),
36		− ("metro", "Metro", "Metro", "metro"),
37		− ("iga", "IGA", "IGA", "iga"),
38		− ("maxi", "Maxi", "Maxi", "maxi"),
39		− ("superc", "Super C", "Super C", "super c"),
40		− ("provigo", "Provigo", "Provigo", "provigo"),
41		− ("canadiantire", "Canadian Tire", "Canadian Tire", "canadian tire"),
42		− ("dollarama", "Dollarama", "Dollarama", "dollarama"),
43		− ("saq", "SAQ", "SAQ", "saq"),
44		− ("pharmaprix", "Pharmaprix", "Pharmaprix", "pharmaprix"),
45		− ("jeancoutu", "Jean Coutu", "Jean Coutu pharmacie", "jean coutu"),
46		− ("homedepot", "Home Depot", "Home Depot", "home depot"),
47		− ("rona", "RONA", "RONA", "rona"),
48		−]
49		−
50		−_BAN = ("station", "stationnement")
	40	+# id -> (libellé, requête Mapbox, mot-clé de validation — le nom du POI doit le
	41	+# contenir, sans accents ni casse ; écarte « Station Métro », « Super Qualité »…)
	42	+BRAND_DEFS = {
	43	+ # nationaux
	44	+ "costco": ("Costco", "Costco Wholesale", "costco"),
	45	+ "walmart": ("Walmart", "Walmart Supercentre", "walmart"),
	46	+ "canadiantire": ("Canadian Tire", "Canadian Tire", "canadian tire"),
	47	+ "dollarama": ("Dollarama", "Dollarama", "dollarama"),
	48	+ "homedepot": ("Home Depot", "Home Depot", "home depot"),
	49	+ "homehardware": ("Home Hardware", "Home Hardware", "home hardware"),
	50	+ "shoppers": ("Shoppers Drug Mart", "Shoppers Drug Mart", "shoppers"),
	51	+ "gianttiger": ("Giant Tiger", "Giant Tiger", "giant tiger"),
	52	+ # épicerie — Loblaw
	53	+ "loblaws": ("Loblaws", "Loblaws", "loblaws"),
	54	+ "superstore": ("Real Canadian Superstore", "Real Canadian Superstore", "superstore"),
	55	+ "atlanticsuperstore": ("Atlantic Superstore", "Atlantic Superstore", "superstore"),
	56	+ "nofrills": ("No Frills", "No Frills", "no frills"),
	57	+ "zehrs": ("Zehrs", "Zehrs", "zehrs"),
	58	+ "dominion": ("Dominion", "Dominion grocery", "dominion"),
	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	162	def _norm(s: str) -> str:
		`@@ -227,15 +336,16 @@ def _transit_from_poi(lat: float, lng: float) -> list[tuple[str, dict]]:`
227	336	return out
228	337
229	338
230		−def nearby(lat: float, lng: float) -> dict:
231		− """Grand commerce le plus proche par bannière (cache ~1 km, TTL 30 j)."""
	339	+def nearby(lat: float, lng: float, region: str \| None = None) -> dict:
	340	+ """Grand commerce le plus proche par bannière PROVINCIALE (cache ~1 km)."""
	341	+ brands = _brands_for(region, lat, lng)
232	342	cell = f"{round(lat, 2)},{round(lng, 2)}"
233	343	con = _connect()
234	344	now = time.time()
235	345	cached = {r["brand"]: r for r in con.execute(
236	346	"SELECT * FROM commerces_cache WHERE cellule=? AND fetched_at>?",
237	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	349	if bid not in cached]
240	350	transit_manquant = any(k not in cached for k, _ in TRANSIT)
241	351	if manquants or transit_manquant:
		`@@ -279,7 +389,7 @@ def nearby(lat: float, lng: float) -> dict:`
279	389	"nom": r["nom"], "adresse": "",
280	390	"dist_m": round(d),
281	391	"lat": r["lat"], "lng": r["lng"]})
282		− for bid, label, _q, _m in BRANDS:
	392	+ for bid, label, _q, _m in brands:
283	393	r = cached.get(bid)
284	394	if r is None:
285	395	continue

modified immoka/web.py +4 −3

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

spb/house-ka

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

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