#!/usr/bin/python3 from flask import Flask, render_template, request, jsonify, redirect, url_for from sqlalchemy import func, or_ from sqlalchemy.orm import selectinload from matcher import nominatim, model, database, commons, wikidata, wikidata_api from collections import Counter from time import time from geoalchemy2 import Geography import os import json import GeoIP srid = 4326 app = Flask(__name__) app.debug = True app.config.from_object('config.default') DB_URL = "postgresql:///matcher" database.init_db(DB_URL) entity_keys = {"labels", "sitelinks", "aliases", "claims", "descriptions", "lastrevid"} property_map = [ ("P238", ["iata"], "IATA airport code"), ("P239", ["icao"], "ICAO airport code"), ("P240", ["faa", "ref"], "FAA airport code"), # ('P281', ['addr:postcode', 'postal_code'], 'postal code'), ("P296", ["ref", "ref:train", "railway:ref"], "station code"), ("P300", ["ISO3166-2"], "ISO 3166-2 code"), ("P359", ["ref:rce"], "Rijksmonument ID"), ("P590", ["ref:gnis", "GNISID", "gnis:id", "gnis:feature_id"], "USGS GNIS ID"), ("P649", ["ref:nrhp"], "NRHP reference number"), ("P722", ["uic_ref"], "UIC station code"), ("P782", ["ref"], "LAU (local administrative unit)"), ("P836", ["ref:gss"], "UK Government Statistical Service code"), ("P856", ["website", "contact:website", "url"], "website"), ("P882", ["nist:fips_code"], "FIPS 6-4 (US counties)"), ("P901", ["ref:fips"], "FIPS 10-4 (countries and regions)"), # A UIC id can be a IBNR, but not every IBNR is an UIC id ("P954", ["uic_ref"], "IBNR ID"), ("P981", ["ref:woonplaatscode"], "BAG code for Dutch residencies"), ("P1216", ["HE_ref"], "National Heritage List for England number"), ("P2253", ["ref:edubase"], "EDUBase URN"), ("P2815", ["esr:user", "ref", "ref:train"], "ESR station code"), ("P3425", ["ref", "ref:SIC"], "Natura 2000 site ID"), ("P3562", ["seamark:light:reference"], "Admiralty number"), ( "P4755", ["ref", "ref:train", "ref:crs", "crs", "nat_ref"], "UK railway station code", ), ("P4803", ["ref", "ref:train"], "Amtrak station code"), ("P6082", ["nycdoitt:bin"], "NYC Building Identification Number"), ("P5086", ["ref"], "FIPS 5-2 alpha code (US states)"), ("P5087", ["ref:fips"], "FIPS 5-2 numeric code (US states)"), ("P5208", ["ref:bag"], "BAG building ID for Dutch buildings"), ] @app.teardown_appcontext def shutdown_session(exception=None): database.session.remove() def check_for_tagged_qids(qids): tagged = set() for qid in qids: for cls in model.Point, model.Polygon, model.Line: q = cls.query.filter(cls.tags["wikidata"] == qid) if q.count(): tagged.add(qid) break return tagged def check_for_tagged_qid(qid): return any( database.session.query( cls.query.filter( cls.tags.has_key("wikidata"), cls.tags["wikidata"] == qid ).exists() ).scalar() for cls in (model.Point, model.Polygon, model.Line) ) def make_envelope(bbox): west, south, east, north = [float(i) for i in bbox.split(",")] return func.ST_MakeEnvelope(west, south, east, north, srid) def get_osm_with_wikidata_tag(bbox): db_bbox = make_envelope(bbox) tagged = [] seen = set() for cls in (model.Point, model.Polygon, model.Line): q = cls.query.filter( cls.tags.has_key("wikidata"), func.ST_Intersects(db_bbox, cls.way), func.ST_Area(cls.way) < 20 * func.ST_Area(db_bbox), ) for osm in q: if osm.identifier in seen: continue seen.add(osm.identifier) name = osm.name if not name: if "addr:housename" in osm.tags: name = osm.tags["addr:housename"] else: name = "[no label]" tagged.append( { "identifier": osm.identifier, "id": osm.id, "type": osm.type, "url": osm.osm_url, "geojson": osm.geojson(), "centroid": list(osm.get_centroid()), "name": name, "wikidata": osm.tags["wikidata"], } ) return tagged def get_items_in_bbox(bbox): db_bbox = make_envelope(bbox) q = ( model.Item.query.join(model.ItemLocation) .filter(func.ST_Covers(db_bbox, model.ItemLocation.location)) .options(selectinload(model.Item.locations)) ) return q def get_markers(all_items): items = [] for item in all_items: locations = [list(i.get_lat_lon()) for i in item.locations] image_filenames = item.get_claim("P18") item = { "qid": item.qid, "label": item.label(), "description": item.description(), "markers": locations, "image_list": image_filenames, "street_address": item.get_claim("P6375"), "isa_list": [v["id"] for v in item.get_claim("P31")], } items.append(item) return items def get_user_location(): gi = GeoIP.open("/home/edward/lib/data/GeoIPCity.dat", GeoIP.GEOIP_STANDARD) remote_ip = request.remote_addr gir = gi.record_by_addr(remote_ip) if not gir: return lat, lon = gir["latitude"], gir["longitude"] return (lat, lon) @app.route("/") def redirect_from_root(): return redirect(url_for("map_start_page")) @app.route("/index") def index_page(): return render_template("index.html") @app.route("/identifier") def identifier_index(): return render_template("identifier_index.html", property_map=property_map) @app.route("/commons/") def get_commons_image(filename): detail = commons.image_detail([filename], thumbheight=600, thumbwidth=600) image = detail[filename] return redirect(image["thumburl"]) @app.route("/identifier/") def identifier_page(pid): per_page = 10 page = int(request.args.get("page", 1)) property_dict = {pid: (osm_keys, label) for pid, osm_keys, label in property_map} osm_keys, label = property_dict[pid] wd = model.Item.query.filter(model.Item.claims.has_key(pid)) total = wd.count() start = per_page * (page - 1) items = wd.all()[start : per_page * page] qids = [item.qid for item in items] print(qids) # pred = None # values = set() # for item in items: # values |= set(item.get_claim(pid)) # # for key in osm_keys: # if key == 'ref': # continue # if pred is None: # pred = model.Point.tags[key].in_(values) # else: # pred |= model.Point.tags[key].in_(values) # osm_points = {} for qid in qids: osm_points[qid] = model.Point.query.filter( model.Point.tags["wikidata"] == qid ).all() osm_total = len(osm_points) return render_template( "identifier_page.html", pid=pid, osm_keys=osm_keys, label=label, items=items, total=total, osm_total=osm_total, osm_points=osm_points, ) @app.route("/map///") def map_location(zoom, lat, lng): t = int(time()) return render_template("map.html", zoom=zoom, lat=lat, lng=lng, time=t) @app.route("/map") def map_start_page(): t = int(time()) location = get_user_location() if not location: return render_template("map.html", zoom=16, lat=None, lng=None, time=t) lat, lng = location return render_template("map.html", zoom=16, lat=lat, lng=lng, time=t) @app.route("/search/map") def search_map_page(): user_lat, user_lon = get_user_location() or (None, None) q = request.args.get("q") if not q: return render_template("map.html", user_lat=user_lat, user_lon=user_lon) hits = nominatim.lookup(q) for hit in hits: if "geotext" in hit: del hit["geotext"] bbox = [hit["boundingbox"] for hit in hits] return render_template( "search_map.html", hits=hits, bbox_list=bbox, user_lat=user_lat, user_lon=user_lon, ) @app.route("/search") def search_page(): q = request.args.get("q") if not q: return render_template("search.html", hits=None, bbox_list=None) hits = nominatim.lookup(q) for hit in hits: if "geotext" in hit: del hit["geotext"] bbox = [hit["boundingbox"] for hit in hits] return render_template("search.html", hits=hits, bbox_list=bbox) def get_isa_count(items): isa_count = Counter() for item in items: isa_list = item.get_claim("P31") for isa in isa_list: isa_count[isa["id"]] += 1 return isa_count.most_common() def get_and_save_item(qid): entity = wikidata_api.get_entity(qid) if entity["id"] != qid: print(f'redirect {qid} -> {entity["id"]}') return coords = wikidata.get_entity_coords(entity["claims"]) item_id = int(qid[1:]) obj = {k: v for k, v in entity.items() if k in entity_keys} try: item = model.Item(item_id=item_id, **obj) except TypeError: print(qid) print(f'{entity["pageid"]=} {entity["ns"]=} {entity["type"]=}') print(entity.keys()) raise item.locations = model.location_objects(coords) database.session.add(item) database.session.commit() return item @app.route("/api/1/items") def api_wikidata_items(): bounds = request.args.get("bounds") t0 = time() q = get_items_in_bbox(bounds) db_items = q.all() items = get_markers(db_items) counts = get_isa_count(db_items) isa_ids = [qid[1:] for qid, count in counts] isa_items = { isa.qid: isa for isa in model.Item.query.filter(model.Item.item_id.in_(isa_ids)) } isa_count = [] for qid, count in counts: item = isa_items.get(qid) if not item: item = get_and_save_item(qid) label = item.label() if item else "[missing]" isa = { "qid": qid, "count": count, "label": label, } isa_count.append(isa) t1 = time() - t0 print(f"wikidata: {t1} seconds") return jsonify(success=True, items=items, isa_count=isa_count, duration=t1) @app.route("/api/1/osm") def api_osm_objects(): bounds = request.args.get("bounds") t0 = time() objects = get_osm_with_wikidata_tag(bounds) t1 = time() - t0 print(f"OSM: {t1} seconds") return jsonify(success=True, objects=objects, duration=t1) edu = ['Tag:amenity=college', 'Tag:amenity=university', 'Tag:amenity=school', 'Tag:office=educational_institution'] tall = ['Key:height', 'Key:building:levels'] extra_keys = { 'Q3914': ['Tag:building=school', 'Tag:building=college', 'Tag:amenity=college', 'Tag:office=educational_institution'], # school 'Q322563': edu, # vocational school 'Q383092': edu, # film school 'Q1021290': edu, # music school 'Q1244442': edu, # school building 'Q1469420': edu, # adult education centre 'Q2143781': edu, # drama school 'Q2385804': edu, # educational institution 'Q5167149': edu, # cooking school 'Q7894959': edu, # University Technical College 'Q47530379': edu, # agricultural college 'Q11303': tall, # skyscraper 'Q18142': tall, # high-rise building 'Q33673393': tall, # multi-storey building 'Q641226': ['Tag:leisure=stadium'], # arena 'Q2301048': ['Tag:aeroway=helipad'], # special airfield 'Q622425': ['Tag:amenity=pub', 'Tag:amenity=music_venue'], # nightclub 'Q187456': ['Tag:amenity=pub', 'Tag:amenity=nightclub'], # bar 'Q16917': ['Tag:amenity=clinic', 'Tag:building=clinic'], # hospital 'Q330284': ['Tag:amenity=market'], # marketplace 'Q5307737': ['Tag:amenity=pub', 'Tag:amenity=bar'], # drinking establishment 'Q875157': ['Tag:tourism=resort'], # resort 'Q174782': ['Tag:leisure=park', 'Tag:highway=pedestrian', 'Tag:foot=yes', 'Tag:area=yes', 'Tag:amenity=market', 'Tag:leisure=common'], # square 'Q34627': ['Tag:religion=jewish'], # synagogue 'Q16970': ['Tag:religion=christian'], # church 'Q32815': ['Tag:religion=islam'], # mosque 'Q811979': ['Key:building'], # architectural structure 'Q11691': ['Key:building'], # stock exchange 'Q1329623': ['Tag:amenity=arts_centre', # cultural centre 'Tag:amenity=community_centre'], 'Q856584': ['Tag:amenity=library'], # library building 'Q11315': ['Tag:landuse=retail'], # shopping mall 'Q39658032': ['Tag:landuse=retail'], # open air shopping centre 'Q277760': ['Tag:historic=folly', 'Tag:historic=city_gate'], # gatehouse 'Q180174': ['Tag:historic=folly'], # folly 'Q15243209': ['Tag:leisure=park', 'Tag:boundary=national_park'], # historic district 'Q3010369': ['Tag:historic=monument'], # opening ceremony 'Q123705': ['Tag:place=suburb'], # neighbourhood 'Q256020': ['Tag:amenity=pub'], # inn 'Q41253': ['Tag:amenity=theatre'], # movie theater 'Q17350442': ['Tag:amenity=theatre'], # venue 'Q156362': ['Tag:amenity=winery'], # winery 'Q14092': ['Tag:leisure=fitness_centre', 'Tag:leisure=sports_centre'], # gymnasium 'Q27686': ['Tag:tourism=hostel', # hotel 'Tag:tourism=guest_house', 'Tag:building=hotel'], 'Q11707': ['Tag:amenity=cafe', 'Tag:amenity=fast_food', 'Tag:shop=deli', 'Tag:shop=bakery', 'Key:cuisine'], # restaurant 'Q2360219': ['Tag:amenity=embassy'], # permanent mission 'Q27995042': ['Tag:protection_title=Wilderness Area'], # wilderness area 'Q838948': ['Tag:historic=memorial', 'Tag:historic=monument'], # work of art 'Q23413': ['Tag:place=locality'], # castle 'Q28045079': ['Tag:historic=archaeological_site', 'Tag:site_type=fortification', 'Tag:embankment=yes'], # contour fort 'Q744099': ['Tag:historic=archaeological_site', 'Tag:site_type=fortification', 'Tag:embankment=yes'], # hillfort 'Q515': ['Tag:border_type=city'], # city 'Q1254933': ['Tag:amenity=university'], # astronomical observatory 'Q1976594': ['Tag:landuse=industrial'], # science park 'Q190928': ['Tag:landuse=industrial'], # shipyard 'Q4663385': ['Tag:historic=train_station', # former railway station 'Tag:railway=historic_station'], 'Q11997323': ['Tag:emergency=lifeboat_station'], # lifeboat station 'Q16884952': ['Tag:castle_type=stately', 'Tag:building=country_house'], # country house 'Q1343246': ['Tag:castle_type=stately', 'Tag:building=country_house'], # English country house 'Q4919932': ['Tag:castle_type=stately'], # stately home 'Q1763828': ['Tag:amenity=community_centre'], # multi-purpose hall 'Q3469910': ['Tag:amenity=community_centre'], # performing arts center 'Q57660343': ['Tag:amenity=community_centre'], # performing arts building 'Q163740': ['Tag:amenity=community_centre', # nonprofit organization 'Tag:amenity=social_facility', 'Key:social_facility'], 'Q41176': ['Key:building:levels'], # building 'Q44494': ['Tag:historic=mill'], # mill 'Q56822897': ['Tag:historic=mill'], # mill building 'Q2175765': ['Tag:public_transport=stop_area'], # tram stop 'Q179700': ['Tag:memorial=statue', # statue 'Tag:memorial:type=statue', 'Tag:historic=memorial'], 'Q1076486': ['Tag:landuse=recreation_ground'], # sports venue 'Q988108': ['Tag:amenity=community_centre', # club 'Tag:community_centre=club_home'], 'Q55004558': ['Tag:service=yard', 'Tag:landuse=railway'], # car barn 'Q19563580': ['Tag:landuse=railway'], # rail yard 'Q134447': ['Tag:generator:source=nuclear'], # nuclear power plant 'Q1258086': ['Tag:leisure=park', 'Tag:boundary=national_park'], # National Historic Site 'Q32350958': ['Tag:leisure=bingo'], # Bingo hall 'Q53060': ['Tag:historic=gate', # gate 'Tag:tourism=attraction'], 'Q3947': ['Tag:tourism=hotel', # house 'Tag:building=hotel', 'Tag:tourism=guest_house'], 'Q847017': ['Tag:leisure=sports_centre'], # sports club 'Q820477': ['Tag:landuse=quarry', 'Tag:gnis:feature_type=Mine'], # mine 'Q77115': ['Tag:leisure=sports_centre'], # community center 'Q35535': ['Tag:amenity=police'], # police 'Q16560': ['Tag:tourism=attraction', # palace 'Tag:historic=yes'], 'Q131734': ['Tag:amenity=pub', # brewery 'Tag:industrial=brewery'], 'Q828909': ['Tag:landuse=commercial', 'Tag:landuse=industrial', 'Tag:historic=dockyard'], # wharf 'Q10283556': ['Tag:landuse=railway'], # motive power depot 'Q18674739': ['Tag:leisure=stadium'], # event venue 'Q20672229': ['Tag:historic=archaeological_site'], # friary 'Q207694': ['Tag:museum=art'], # art museum 'Q22698': ['Tag:leisure=dog_park', 'Tag:amenity=market', 'Tag:place=square', 'Tag:leisure=common'], # park 'Q738570': ['Tag:place=suburb'], # central business district 'Q1133961': ['Tag:place=suburb'], # commercial district 'Q935277': ['Tag:gnis:ftype=Playa', 'Tag:natural=sand'], # salt pan 'Q14253637': ['Tag:gnis:ftype=Playa', 'Tag:natural=sand'], # dry lake 'Q63099748': ['Tag:tourism=hotel', # hotel building 'Tag:building=hotel', 'Tag:tourism=guest_house'], 'Q2997369': ['Tag:leisure=park', 'Tag:highway=pedestrian', 'Tag:foot=yes', 'Tag:area=yes', 'Tag:amenity=market', 'Tag:leisure=common'], # plaza 'Q130003': ['Tag:landuse=winter_sports', # ski resort 'Tag:site=piste', 'Tag:leisure=resort', 'Tag:landuse=recreation_ground'], 'Q4830453': ['Key:office', 'Tag:building=office'], # business } skip_isa = { 13226383, 16686448, 2221906, 2133296, # space (architecture) 56052926, # building division 15989253, # part 9350592, # telecommunications infrastructure 121359, # infrastructure 28877, # goods 2897903, # goods and services 2995644, # result 733541, # consequence 408386, # inference 3249551, # process 20937557, # series 16887380, # group 28813620, # set 99527517, # collection entity 1150070, # change 1190554, # occurrence 26907166, # temporal entity 2425052, # electrical appliance 931447, # electrical load 210729, # electrical element 3749263, # electrical device 16798631, # equipment 66310125, # nonbiological component 22811462, # type of manufactured good 21146257, # type 16889133, # class 1310239, # component 337060, # perceptible object 581105, # consumer electronics 2858615, # electronic machine 1183543, # device 39546, # tool 35825432, # converter 11019, # machine 8205328, # artificial physical object 223557, # physical object 35459920, # three-dimensional object 488383, # object 35120, # entity 1454986, # physical system 30060700, # scientific object 58778, # system 6671777, # structure 4406616, # concrete object 2555640, # cell (architecture) 78642244, # closed space 1902617, # verblijfsruimte 180516, # room ['Key:room'] 17334923, # location 27096213, # geographic entity 58416391, # spatial entity 58415929, # spatio-temporal entity 811979, # architectural structure 811430, # human-made geographic feature 35145743, # human-made landform 27096235, # artificial geographic entity 618123, # geographical feature 386724, # work 15401930, # product 102074988, # artificial physical structure 15710813, # physical structure 1299240, # interior space 4830453, # business 3563237, # economic unit 2198779, # unit 7184903, # abstract object 43229, # organization 16334295, # group of humans 16334298, # group of living things 61961344, # group of physical objects 98119401, # group or class of physical objects 106559804, # person or organization 24229398, # agent 23958946, # individual entity 4830453, # business 2695280, # technique 21162272, # means 4026292, # action 1914636, # activity 372222, # human-readable medium 494756, # data 42848, # data 1166770, # depiction 11024, # communication 6031064, # information exchange 52948, # interaction 23009552, # exchange 23009675, # transfer 22294683, # biological process involved in intraspecies interaction between organisms 628858, # workplace 1228250, # line 211548, # locus 36161, # set 864377, # multiset 246672, # mathematical object 5469988, # formalization 4393498, # representation 930933, # relation 217594, # class 294440, # public space 7551384, # social space 83493482, # thanking 83492918, # acknowledgement 628523, # message 11028, # information 189970, # social status 11424100, # status 4897819, # role 1207505, # quality 937228, # property 11862829, # academic discipline 1047113, # specialty 9081, # knowledge 104127086, # memory 12488383, # content 2434238, # heritage 23893363, # heritage 82821, # tradition 251777, # custom 1299714, # habit 36529775, # habit 7302601, # recognition 854429, # portal 391414, # architectural element 3955017, # intermediate good 2424752, # product 19603939, # building component 55638, # tertiary sector of the economy 3958441, # economic sector } skip_tags = {"Key:addr:street"} def get_item(item_id): item = model.Item.query.get(item_id) if item: return item item = get_and_save_item(f"Q{item_id}") database.session.add(item) database.session.commit() return item def get_items(item_ids): items = [] for item_id in item_ids: item = model.Item.query.get(item_id) if not item: if not get_and_save_item(f"Q{item_id}"): continue item = model.Item.query.get(item_id) items.append(item) return items def get_item_tags(item): isa_items = [] isa_list = [v["numeric-id"] for v in item.get_claim("P31")] isa_items = get_items(isa_list) osm_list = set() seen = set(isa_list) | skip_isa while isa_items: isa = isa_items.pop() if not isa: continue osm = [v for v in isa.get_claim("P1282") if v not in skip_tags] if isa.qid in extra_keys: osm += extra_keys[isa.qid] osm_list.update(osm) subclass_of = [v["numeric-id"] for v in (isa.get_claim("P279") or []) if v] isa_list = [isa_id for isa_id in subclass_of if isa_id not in seen] seen.update(isa_list) isa_items += get_items(isa_list) return sorted(osm_list) @app.route("/api/1/item/Q/tags") def api_get_item_tags(item_id): t0 = time() item = model.Item.query.get(item_id) osm_list = get_item_tags(item) t1 = time() - t0 return jsonify(success=True, qid=item.qid, tag_or_key_list=osm_list, duration=t1) def get_tag_filter(cls, tag_list): tag_filter = [] for tag_or_key in tag_list: if tag_or_key.startswith("Key:"): tag_filter.append(cls.tags.has_key(tag_or_key[4:])) if tag_or_key.startswith("Tag:"): k, _, v = tag_or_key.partition("=") tag_filter.append(cls.tags[k[4:]] == v) return tag_filter def get_nearby(bbox, item, max_distance=200): db_bbox = make_envelope(bbox) osm_objects = {} distances = {} tag_list = get_item_tags(item) if not tag_list: return [] for loc in item.locations: lat, lon = loc.get_lat_lon() point = func.ST_SetSRID(func.ST_MakePoint(lon, lat), 4326) for cls in model.Point, model.Line, model.Polygon: tag_filter = get_tag_filter(cls, tag_list) dist = func.ST_Distance(point, cls.way.cast(Geography(srid=4326))) q = (cls.query.add_columns(dist.label('distance')) .filter( func.ST_Intersects(db_bbox, cls.way), func.ST_Area(cls.way) < 20 * func.ST_Area(db_bbox), or_(*tag_filter)) .order_by(point.distance_centroid(cls.way))) if "Key:amenity" in tag_list: q = q.filter(cls.tags["amenity"] != "bicycle_parking", cls.tags["amenity"] != "bicycle_repair_station", cls.tags["amenity"] != "atm", cls.tags["amenity"] != "recycling") q = q.limit(20) # print(q.statement.compile(compile_kwargs={"literal_binds": True})) for i, dist in q: if dist > max_distance: continue osm_objects.setdefault(i.identifier, i) if i.identifier not in distances or dist < distances[i.identifier]: distances[i.identifier] = dist nearby = [(osm_objects[identifier], dist) for identifier, dist in sorted(distances.items(), key=lambda i:i[1])] return nearby[:10] def get_presets_from_tags(tags): preset_dir = app.config["ID_PRESET_DIR"] found = [] for k, v in tags.items(): if k == 'amenity' and v == 'clock' and tags.get('display') == 'sundial': tag_or_key = f"Tag:{k}={v}" found.append({"tag_or_key": tag_or_key, "name": "Sundial"}) continue filename = os.path.join(preset_dir, k, v + ".json") if os.path.exists(filename): tag_or_key = f"Tag:{k}={v}" else: filename = os.path.join(preset_dir, k, "_" + v + ".json") if os.path.exists(filename): tag_or_key = f"Tag:{k}={v}" else: filename = os.path.join(preset_dir, k + ".json") if os.path.exists(filename): tag_or_key = f"Key:{k}" else: continue data = json.load(open(filename)) name = data["name"] found.append({"tag_or_key": tag_or_key, "name": name}) return found @app.route("/api/1/item/Q/candidates") def api_find_osm_candidates(item_id): bounds = request.args.get("bounds") t0 = time() item = model.Item.query.get(item_id) nearby = [] for osm, dist in get_nearby(bounds, item): tags = osm.tags name = osm.name or tags.get("addr:housename") if not name and "addr:housenumber" in tags and "addr:street" in tags: name = tags["addr:housenumber"] + " " + tags["addr:street"] cur = { "identifier": osm.identifier, "distance": dist, "name": name, "tags": tags, "geojson": osm.geojson(), "presets": get_presets_from_tags(tags), } if hasattr(osm, 'area'): cur["area"] = osm.area nearby.append(cur) t1 = time() - t0 return jsonify(success=True, qid=item.qid, nearby=nearby, duration=t1) @app.route("/api/1/missing") def api_missing_wikidata_items(): qids_arg = request.args.get("qids") qids = qids_arg.split(",") if not qids or not qids[0]: return jsonify(success=True, items=[], isa_count=[]) db_items = [] for qid in qids: item = model.Item.query.get(qid[1:]) if not item: item = get_and_save_item(qid) db_items.append(item) items = get_markers(db_items) counts = get_isa_count(db_items) isa_ids = [qid[1:] for qid, count in counts] isa_items = { isa.qid: isa for isa in model.Item.query.filter(model.Item.item_id.in_(isa_ids)) } isa_count = [] for qid, count in counts: item = isa_items.get(qid) if not item: item = get_and_save_item(qid) label = item.label() if item else "[missing]" isa = { "qid": qid, "count": count, "label": label, } isa_count.append(isa) return jsonify(success=True, items=items, isa_count=isa_count) @app.route("/api/1/search") def api_search(): q = request.args["q"] hits = nominatim.lookup(q) for hit in hits: if "geotext" in hit: del hit["geotext"] hit["name"] = nominatim.get_hit_name(hit) return jsonify(hits=hits) if __name__ == "__main__": app.run(host="0.0.0.0")