Add tjx stores

Requested-By: Käthe Swift

layers/tjx/get_data.py

@@ -0,0 +1,82 @@
+#!/usr/bin/python
+
+# Turns out alltheplaces has done all the hard work here; we can use their
+# (CC0-licensed) data rather than trying to replicate the scraper ourselves.
+#
+# Unfortunately, many of the stores' individual location searches, including the
+# parent TJX's list at https://www.tjx.com/stores, don't provide a list of
+# stores, and only a search result. Some do, e.g. Sierra, with a chunk of
+# javascript containing a list of JS objects, but this isn't consistent across
+# stores, and I'm too lazy to reimplement something for every store. So, instead
+# we take advantage of the hard work of those who have gone before us!
+
+import requests
+import json
+
+data = requests.get('https://alltheplaces-data.openaddresses.io/runs/2024-04-20-13-31-46/output/tjx.geojson')
+
+chains = {}
+
+for store in data.json()['features']:
+    # store = {
+    #     "type": "Feature",
+    #     "id": "iaLJnlhrRR8daHXO0SGtTHQ2aYM=",
+    #     "properties": {
+    #         "ref": "93743",
+    #         "@spider": "tjx",
+    #         "shop": "department_store",
+    #         "addr:full": "655 Sydney Ave",
+    #         "addr:city": "Windsor",
+    #         "addr:state": "ON",
+    #         "addr:postcode": "N8X 5C4",
+    #         "addr:country": "CA",
+    #         "name": "Windsor",
+    #         "phone": "+1 519-250-0494",
+    #         "opening_hours": "Mo-Fr 09:30-21:00; Sa 09:00-21:00; Su 10:00-18:00",
+    #         "brand": "Marshalls",
+    #         "brand:wikidata": "Q15903261",
+    #         "nsi_id": "marshalls-53f9e5"
+    #     },
+    #     "geometry": {
+    #         "type": "Point",
+    #         "coordinates": [
+    #             -82.9981994628906,
+    #             42.2717170715332
+    #         ]
+    #     }
+    # },
+    if not store['properties']['brand'] in chains:
+        chains[store['properties']['brand']] = []
+    chains[store['properties']['brand']].append({
+        "type": "Feature",
+        "geometry": store['geometry'],
+        "properties": {
+            "name": store['properties']['name'],
+            "addr": store['properties']['addr:full'],
+            "city": store['properties']['addr:city'],
+            "state": store['properties']['addr:state'],
+            "postcode": store['properties']['addr:postcode'],
+            "country": store['properties']['addr:country'],
+        },
+    })
+
+safe_name = lambda s: ''.join([c.lower() for c in s if c.isalpha()])
+
+for chain, features in chains.items():
+    geojson = {
+        "type": "FeatureCollection",
+        "features": features,
+    }
+
+    with open(f"data/{safe_name(chain)}.geojson", "w") as f:
+        f.write(json.dumps(geojson))
+
+    print(f"{len(features)} {chain} locations found")
+
+with open('data/chains.js', 'w') as f:
+    for chain in chains:
+        f.write(f"import {safe_name(chain)} from './{safe_name(chain)}.geojson?url';\n")
+    f.write('\nexport default {\n')
+    for chain in chains:
+        f.write(f"    \"{chain}\": {safe_name(chain)},\n")
+    f.write("};\n")