forked from edward/owl-map
856 lines
28 KiB
Python
Executable file
856 lines
28 KiB
Python
Executable file
#!/usr/bin/python3
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from flask import Flask, render_template, request, jsonify, redirect, url_for
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from sqlalchemy import func, or_
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from sqlalchemy.orm import selectinload
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from matcher import nominatim, model, database, commons, wikidata, wikidata_api
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from collections import Counter
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from time import time
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from geoalchemy2 import Geography
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import GeoIP
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srid = 4326
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app = Flask(__name__)
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app.debug = True
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app.config.from_object('config.default')
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DB_URL = "postgresql:///matcher"
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database.init_db(DB_URL)
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entity_keys = {"labels", "sitelinks", "aliases", "claims", "descriptions", "lastrevid"}
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property_map = [
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("P238", ["iata"], "IATA airport code"),
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("P239", ["icao"], "ICAO airport code"),
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("P240", ["faa", "ref"], "FAA airport code"),
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# ('P281', ['addr:postcode', 'postal_code'], 'postal code'),
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("P296", ["ref", "ref:train", "railway:ref"], "station code"),
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("P300", ["ISO3166-2"], "ISO 3166-2 code"),
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("P359", ["ref:rce"], "Rijksmonument ID"),
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("P590", ["ref:gnis", "GNISID", "gnis:id", "gnis:feature_id"], "USGS GNIS ID"),
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("P649", ["ref:nrhp"], "NRHP reference number"),
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("P722", ["uic_ref"], "UIC station code"),
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("P782", ["ref"], "LAU (local administrative unit)"),
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("P836", ["ref:gss"], "UK Government Statistical Service code"),
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("P856", ["website", "contact:website", "url"], "website"),
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("P882", ["nist:fips_code"], "FIPS 6-4 (US counties)"),
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("P901", ["ref:fips"], "FIPS 10-4 (countries and regions)"),
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# A UIC id can be a IBNR, but not every IBNR is an UIC id
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("P954", ["uic_ref"], "IBNR ID"),
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("P981", ["ref:woonplaatscode"], "BAG code for Dutch residencies"),
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("P1216", ["HE_ref"], "National Heritage List for England number"),
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("P2253", ["ref:edubase"], "EDUBase URN"),
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("P2815", ["esr:user", "ref", "ref:train"], "ESR station code"),
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("P3425", ["ref", "ref:SIC"], "Natura 2000 site ID"),
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("P3562", ["seamark:light:reference"], "Admiralty number"),
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(
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"P4755",
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["ref", "ref:train", "ref:crs", "crs", "nat_ref"],
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"UK railway station code",
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),
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("P4803", ["ref", "ref:train"], "Amtrak station code"),
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("P6082", ["nycdoitt:bin"], "NYC Building Identification Number"),
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("P5086", ["ref"], "FIPS 5-2 alpha code (US states)"),
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("P5087", ["ref:fips"], "FIPS 5-2 numeric code (US states)"),
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("P5208", ["ref:bag"], "BAG building ID for Dutch buildings"),
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]
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@app.teardown_appcontext
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def shutdown_session(exception=None):
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database.session.remove()
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def check_for_tagged_qids(qids):
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tagged = set()
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for qid in qids:
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for cls in model.Point, model.Polygon, model.Line:
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q = cls.query.filter(cls.tags["wikidata"] == qid)
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print(q)
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if q.count():
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tagged.add(qid)
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break
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return tagged
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def check_for_tagged_qid(qid):
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return any(
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database.session.query(
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cls.query.filter(
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cls.tags.has_key("wikidata"), cls.tags["wikidata"] == qid
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).exists()
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).scalar()
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for cls in (model.Point, model.Polygon, model.Line)
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)
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def make_envelope(bbox):
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west, south, east, north = [float(i) for i in bbox.split(",")]
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return func.ST_MakeEnvelope(west, south, east, north, srid)
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def get_osm_with_wikidata_tag(bbox):
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db_bbox = make_envelope(bbox)
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tagged = []
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seen = set()
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for cls in (model.Point, model.Polygon, model.Line):
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q = cls.query.filter(
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cls.tags.has_key("wikidata"),
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func.ST_Intersects(db_bbox, cls.way),
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func.ST_Area(cls.way) < 20 * func.ST_Area(db_bbox),
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)
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for osm in q:
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if osm.identifier in seen:
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continue
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seen.add(osm.identifier)
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name = osm.name
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if not name:
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if "addr:housename" in osm.tags:
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name = osm.tags["addr:housename"]
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else:
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name = "[no label]"
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tagged.append(
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{
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"identifier": osm.identifier,
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"id": osm.id,
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"type": osm.type,
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"url": osm.osm_url,
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"geojson": osm.geojson(),
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"centroid": list(osm.get_centroid()),
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"name": name,
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"wikidata": osm.tags["wikidata"],
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}
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)
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return tagged
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def get_items_in_bbox(bbox):
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db_bbox = make_envelope(bbox)
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q = (
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model.Item.query.join(model.ItemLocation)
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.filter(func.ST_Covers(db_bbox, model.ItemLocation.location))
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.options(selectinload(model.Item.locations))
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)
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return q
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def get_markers(all_items):
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items = []
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for item in all_items:
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if "en" not in item.labels:
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continue
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locations = [list(i.get_lat_lon()) for i in item.locations]
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image_filenames = item.get_claim("P18")
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item = {
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"qid": item.qid,
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"label": item.label(),
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"description": item.description(),
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"markers": locations,
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"image_list": image_filenames,
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"street_address": item.get_claim("P6375"),
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"isa_list": [v["id"] for v in item.get_claim("P31")],
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}
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items.append(item)
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return items
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def get_user_location():
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gi = GeoIP.open("/home/edward/lib/data/GeoIPCity.dat", GeoIP.GEOIP_STANDARD)
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remote_ip = request.remote_addr
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gir = gi.record_by_addr(remote_ip)
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if not gir:
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return
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lat, lon = gir["latitude"], gir["longitude"]
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return (lat, lon)
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@app.route("/")
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def redirect_from_root():
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return redirect(url_for("map_start_page"))
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@app.route("/index")
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def index_page():
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return render_template("index.html")
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@app.route("/identifier")
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def identifier_index():
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return render_template("identifier_index.html", property_map=property_map)
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@app.route("/commons/<filename>")
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def get_commons_image(filename):
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detail = commons.image_detail([filename], thumbheight=600, thumbwidth=600)
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image = detail[filename]
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return redirect(image["thumburl"])
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@app.route("/identifier/<pid>")
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def identifier_page(pid):
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per_page = 10
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page = int(request.args.get("page", 1))
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property_dict = {pid: (osm_keys, label) for pid, osm_keys, label in property_map}
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osm_keys, label = property_dict[pid]
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wd = model.Item.query.filter(model.Item.claims.has_key(pid))
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total = wd.count()
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start = per_page * (page - 1)
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items = wd.all()[start : per_page * page]
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qids = [item.qid for item in items]
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print(qids)
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# pred = None
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# values = set()
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# for item in items:
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# values |= set(item.get_claim(pid))
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#
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# for key in osm_keys:
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# if key == 'ref':
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# continue
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# if pred is None:
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# pred = model.Point.tags[key].in_(values)
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# else:
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# pred |= model.Point.tags[key].in_(values)
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#
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osm_points = {}
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for qid in qids:
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osm_points[qid] = model.Point.query.filter(
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model.Point.tags["wikidata"] == qid
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).all()
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osm_total = len(osm_points)
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return render_template(
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"identifier_page.html",
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pid=pid,
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osm_keys=osm_keys,
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label=label,
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items=items,
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total=total,
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osm_total=osm_total,
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osm_points=osm_points,
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)
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@app.route("/map/<int:zoom>/<float(signed=True):lat>/<float(signed=True):lng>")
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def map_location(zoom, lat, lng):
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t = int(time())
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return render_template("map.html", zoom=zoom, lat=lat, lng=lng, time=t)
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@app.route("/map")
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def map_start_page():
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t = int(time())
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location = get_user_location()
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if not location:
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return render_template("map.html", zoom=16, lat=None, lng=None, time=t)
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lat, lng = location
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return render_template("map.html", zoom=16, lat=lat, lng=lng, time=t)
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@app.route("/search/map")
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def search_map_page():
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user_lat, user_lon = get_user_location() or (None, None)
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q = request.args.get("q")
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if not q:
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return render_template("map.html", user_lat=user_lat, user_lon=user_lon)
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hits = nominatim.lookup(q)
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for hit in hits:
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if "geotext" in hit:
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del hit["geotext"]
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bbox = [hit["boundingbox"] for hit in hits]
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return render_template(
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"search_map.html",
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hits=hits,
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bbox_list=bbox,
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user_lat=user_lat,
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user_lon=user_lon,
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)
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@app.route("/search")
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def search_page():
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q = request.args.get("q")
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if not q:
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return render_template("search.html", hits=None, bbox_list=None)
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hits = nominatim.lookup(q)
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for hit in hits:
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if "geotext" in hit:
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del hit["geotext"]
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bbox = [hit["boundingbox"] for hit in hits]
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return render_template("search.html", hits=hits, bbox_list=bbox)
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def get_isa_count(items):
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isa_count = Counter()
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for item in items:
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isa_list = item.get_claim("P31")
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for isa in isa_list:
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isa_count[isa["id"]] += 1
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return isa_count.most_common()
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def get_and_save_item(qid):
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entity = wikidata_api.get_entity(qid)
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if entity["id"] != qid:
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print(f'redirect {qid} -> {entity["id"]}')
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return
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coords = wikidata.get_entity_coords(entity["claims"])
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item_id = int(qid[1:])
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obj = {k: v for k, v in entity.items() if k in entity_keys}
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try:
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item = model.Item(item_id=item_id, **obj)
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except TypeError:
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print(qid)
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print(f'{entity["pageid"]=} {entity["ns"]=} {entity["type"]=}')
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print(entity.keys())
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raise
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item.locations = model.location_objects(coords)
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database.session.add(item)
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database.session.commit()
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return item
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@app.route("/api/1/items")
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def api_wikidata_items():
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bounds = request.args.get("bounds")
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t0 = time()
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q = get_items_in_bbox(bounds)
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db_items = q.all()
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items = get_markers(db_items)
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counts = get_isa_count(db_items)
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isa_ids = [qid[1:] for qid, count in counts]
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isa_items = {
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isa.qid: isa for isa in model.Item.query.filter(model.Item.item_id.in_(isa_ids))
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}
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isa_count = []
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for qid, count in counts:
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item = isa_items.get(qid)
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if not item:
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item = get_and_save_item(qid)
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label = item.label() if item else "[missing]"
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isa = {
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"qid": qid,
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"count": count,
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"label": label,
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}
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isa_count.append(isa)
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t1 = time() - t0
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print(f"wikidata: {t1} seconds")
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return jsonify(success=True, items=items, isa_count=isa_count, duration=t1)
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@app.route("/api/1/osm")
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def api_osm_objects():
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bounds = request.args.get("bounds")
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t0 = time()
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objects = get_osm_with_wikidata_tag(bounds)
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t1 = time() - t0
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print(f"OSM: {t1} seconds")
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return jsonify(success=True, objects=objects, duration=t1)
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edu = ['Tag:amenity=college', 'Tag:amenity=university', 'Tag:amenity=school',
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'Tag:office=educational_institution']
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tall = ['Key:height', 'Key:building:levels']
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extra_keys = {
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'Q3914': ['Tag:building=school',
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'Tag:building=college',
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'Tag:amenity=college',
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'Tag:office=educational_institution'], # school
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'Q322563': edu, # vocational school
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'Q383092': edu, # film school
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'Q1021290': edu, # music school
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'Q1244442': edu, # school building
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'Q1469420': edu, # adult education centre
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'Q2143781': edu, # drama school
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'Q2385804': edu, # educational institution
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'Q5167149': edu, # cooking school
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'Q7894959': edu, # University Technical College
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'Q47530379': edu, # agricultural college
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'Q11303': tall, # skyscraper
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'Q18142': tall, # high-rise building
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'Q33673393': tall, # multi-storey building
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'Q641226': ['Tag:leisure=stadium'], # arena
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'Q2301048': ['Tag:aeroway=helipad'], # special airfield
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'Q622425': ['Tag:amenity=pub',
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'Tag:amenity=music_venue'], # nightclub
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'Q187456': ['Tag:amenity=pub',
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'Tag:amenity=nightclub'], # bar
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'Q16917': ['Tag:amenity=clinic',
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'Tag:building=clinic'], # hospital
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'Q330284': ['Tag:amenity=market'], # marketplace
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'Q5307737': ['Tag:amenity=pub',
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'Tag:amenity=bar'], # drinking establishment
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'Q875157': ['Tag:tourism=resort'], # resort
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'Q174782': ['Tag:leisure=park',
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'Tag:highway=pedestrian',
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'Tag:foot=yes',
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'Tag:area=yes',
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'Tag:amenity=market',
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'Tag:leisure=common'], # square
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'Q34627': ['Tag:religion=jewish'], # synagogue
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'Q16970': ['Tag:religion=christian'], # church
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'Q32815': ['Tag:religion=islam'], # mosque
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'Q811979': ['Key:building'], # architectural structure
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'Q11691': ['Key:building'], # stock exchange
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'Q1329623': ['Tag:amenity=arts_centre', # cultural centre
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'Tag:amenity=community_centre'],
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'Q856584': ['Tag:amenity=library'], # library building
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'Q11315': ['Tag:landuse=retail'], # shopping mall
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'Q39658032': ['Tag:landuse=retail'], # open air shopping centre
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'Q277760': ['Tag:historic=folly',
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'Tag:historic=city_gate'], # gatehouse
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'Q180174': ['Tag:historic=folly'], # folly
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'Q15243209': ['Tag:leisure=park',
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'Tag:boundary=national_park'], # historic district
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'Q3010369': ['Tag:historic=monument'], # opening ceremony
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'Q123705': ['Tag:place=suburb'], # neighbourhood
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'Q256020': ['Tag:amenity=pub'], # inn
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'Q41253': ['Tag:amenity=theatre'], # movie theater
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'Q17350442': ['Tag:amenity=theatre'], # venue
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'Q156362': ['Tag:amenity=winery'], # winery
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'Q14092': ['Tag:leisure=fitness_centre',
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'Tag:leisure=sports_centre'], # gymnasium
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'Q27686': ['Tag:tourism=hostel', # hotel
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'Tag:tourism=guest_house',
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'Tag:building=hotel'],
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'Q11707': ['Tag:amenity=cafe', 'Tag:amenity=fast_food',
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'Tag:shop=deli', 'Tag:shop=bakery',
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'Key:cuisine'], # restaurant
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'Q2360219': ['Tag:amenity=embassy'], # permanent mission
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'Q27995042': ['Tag:protection_title=Wilderness Area'], # wilderness area
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'Q838948': ['Tag:historic=memorial',
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'Tag:historic=monument'], # work of art
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'Q23413': ['Tag:place=locality'], # castle
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'Q28045079': ['Tag:historic=archaeological_site',
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'Tag:site_type=fortification',
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'Tag:embankment=yes'], # contour fort
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'Q744099': ['Tag:historic=archaeological_site',
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'Tag:site_type=fortification',
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'Tag:embankment=yes'], # hillfort
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'Q515': ['Tag:border_type=city'], # city
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'Q1254933': ['Tag:amenity=university'], # astronomical observatory
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'Q1976594': ['Tag:landuse=industrial'], # science park
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'Q190928': ['Tag:landuse=industrial'], # shipyard
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'Q4663385': ['Tag:historic=train_station', # former railway station
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'Tag:railway=historic_station'],
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'Q11997323': ['Tag:emergency=lifeboat_station'], # lifeboat station
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'Q16884952': ['Tag:castle_type=stately',
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'Tag:building=country_house'], # country house
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'Q1343246': ['Tag:castle_type=stately',
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'Tag:building=country_house'], # English country house
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'Q4919932': ['Tag:castle_type=stately'], # stately home
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'Q1763828': ['Tag:amenity=community_centre'], # multi-purpose hall
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'Q3469910': ['Tag:amenity=community_centre'], # performing arts center
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'Q57660343': ['Tag:amenity=community_centre'], # performing arts building
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'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
|
|
}
|
|
skip_tags = {"Key:addr:street"}
|
|
|
|
def get_items(item_ids):
|
|
items = []
|
|
for item_id in item_ids:
|
|
item = model.Item.query.get(item_id)
|
|
if not item:
|
|
print(f"get Q{item_id}")
|
|
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]
|
|
|
|
print(isa.qid, isa.label(), osm)
|
|
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<int:item_id>/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))
|
|
.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]
|
|
|
|
|
|
@app.route("/api/1/item/Q<int:item_id>/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(),
|
|
}
|
|
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")
|