687 lines
22 KiB
Python
687 lines
22 KiB
Python
from sqlalchemy import func, or_, and_, text
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from sqlalchemy.orm import selectinload
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from sqlalchemy.sql import select
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from sqlalchemy.sql.expression import literal, union, cast, column
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from sqlalchemy.types import Float
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from sqlalchemy.dialects import postgresql
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from matcher.planet import point, line, polygon
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from matcher import model, database, wikidata_api, wikidata
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from matcher.data import extra_keys
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from collections import Counter, defaultdict
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from flask import g, current_app
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import re
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import os.path
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import json
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srid = 4326
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re_point = re.compile(r'^POINT\((.+) (.+)\)$')
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entity_keys = {"labels", "sitelinks", "aliases", "claims", "descriptions", "lastrevid"}
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def get_country_iso3166_1(lat, lon):
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point = func.ST_SetSRID(func.ST_MakePoint(lon, lat), srid)
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alpha2_codes = set()
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q = model.Polygon.query.filter(func.ST_Covers(model.Polygon.way, point),
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model.Polygon.admin_level == "2")
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for country in q:
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alpha2 = country.tags.get("ISO3166-1")
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if not alpha2:
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continue
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alpha2_codes.add(alpha2)
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g.alpha2_codes = alpha2_codes
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return alpha2_codes
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def is_street_number_first(lat, lon):
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if lat is None or lon is None:
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return True
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alpha2 = get_country_iso3166_1(lat, lon)
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alpha2_number_first = {'GB', 'IE', 'US', 'MX', 'CA', 'FR', 'AU', 'NZ', 'ZA'}
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return bool(alpha2_number_first & alpha2)
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def make_envelope(bounds):
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return func.ST_MakeEnvelope(*bounds, srid)
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def get_bbox_centroid(bbox):
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bbox = make_envelope(bbox)
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centroid = database.session.query(func.ST_AsText(func.ST_Centroid(bbox))).scalar()
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return reversed(re_point.match(centroid).groups())
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def make_envelope_around_point(lat, lon, distance):
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conn = database.session.connection()
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p = func.ST_MakePoint(lon, lat)
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s = select([
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func.ST_AsText(func.ST_Project(p, distance, func.radians(0))),
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func.ST_AsText(func.ST_Project(p, distance, func.radians(90))),
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func.ST_AsText(func.ST_Project(p, distance, func.radians(180))),
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func.ST_AsText(func.ST_Project(p, distance, func.radians(270))),
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])
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row = conn.execute(s).fetchone()
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coords = [[float(v) for v in re_point.match(i).groups()] for i in row]
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north = coords[0][1]
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east = coords[1][0]
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south = coords[2][1]
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west = coords[3][0]
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return func.ST_MakeEnvelope(west, south, east, north, srid)
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def drop_way_area(tags):
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if "way_area" in tags:
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del tags["way_area"]
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return tags
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def get_part_of(table_name, src_id, bbox_list):
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table_map = {'point': point, 'line': line, 'polygon': polygon}
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table_alias = table_map[table_name].alias()
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s = (select([polygon.c.osm_id,
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polygon.c.tags,
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func.ST_Area(func.ST_Collect(polygon.c.way))]).
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where(and_(or_(*[func.ST_Intersects(bbox, polygon.c.way) for bbox in bbox_list]),
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func.ST_Covers(polygon.c.way, table_alias.c.way),
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table_alias.c.osm_id == src_id,
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polygon.c.tags.has_key("name"),
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or_(
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polygon.c.tags.has_key("landuse"),
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polygon.c.tags.has_key("amenity"),
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))).
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group_by(polygon.c.osm_id, polygon.c.tags))
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conn = database.session.connection()
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return [{
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"type": "way" if osm_id > 0 else "relation",
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"id": abs(osm_id),
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"tags": tags,
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"area": area,
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} for osm_id, tags, area in conn.execute(s)]
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def get_and_save_item(qid):
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entity = wikidata_api.get_entity(qid)
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entity_qid = entity["id"]
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if entity_qid != qid:
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print(f'redirect {qid} -> {entity_qid}')
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item = model.Item.query.get(entity_qid[1:])
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return item
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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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def get_isa_count(items):
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isa_count = Counter()
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for item in items:
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if not item:
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continue
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isa_list = item.get_claim("P31")
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for isa in isa_list:
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if not isa:
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print("missing IsA:", item.qid)
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continue
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isa_count[isa["id"]] += 1
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return isa_count.most_common()
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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_osm_with_wikidata_tag(bbox):
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bbox_str = ','.join(str(v) for v in bbox)
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# easier than building this query with SQLAlchemy
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sql = f'''
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SELECT tbl, osm_id, tags, ARRAY[ST_Y(centroid), ST_X(centroid)], geojson
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FROM (
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SELECT 'point' as tbl, osm_id, tags, ST_AsText(ST_Centroid(way)) as centroid, ST_AsGeoJSON(way) as geojson
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FROM planet_osm_point
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WHERE ST_Intersects(ST_MakeEnvelope({bbox_str}, {srid}), way)
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UNION
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SELECT 'line' as tbl, osm_id, tags, ST_AsText(ST_Centroid(ST_Collect(way))) AS centroid, ST_AsGeoJSON(ST_Collect(way)) AS geojson
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FROM planet_osm_line
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WHERE ST_Intersects(ST_MakeEnvelope({bbox_str}, {srid}), way)
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GROUP BY osm_id, tags
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UNION
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SELECT 'polygon' as tbl, osm_id, tags, ST_AsText(ST_Centroid(ST_Collect(way))) AS centroid, ST_AsGeoJSON(ST_Collect(way)) AS geojson
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FROM planet_osm_polygon
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WHERE ST_Intersects(ST_MakeEnvelope({bbox_str}, {srid}), way)
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GROUP BY osm_id, tags
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HAVING st_area(st_collect(way)) < 20 * st_area(ST_MakeEnvelope({bbox_str}, {srid}))
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) as anon
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WHERE tags ? 'wikidata'
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'''
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conn = database.session.connection()
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result = conn.execute(text(sql))
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tagged = []
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for tbl, osm_id, tags, centroid, geojson in result:
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if tbl == 'point':
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osm_type = "node"
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else:
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osm_type = "way" if osm_id > 0 else "relation"
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osm_id = abs(osm_id)
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name = tags.get("name") or tags.get("addr:housename") or "[no label]"
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tagged.append({
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"identifier": f"{osm_type}/{osm_id}",
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"id": osm_id,
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"type": osm_type,
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"geojson": json.loads(geojson),
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"centroid": centroid,
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"name": name,
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"wikidata": tags["wikidata"],
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})
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return tagged
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def get_items(item_ids):
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items = []
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for item_id in item_ids:
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item = model.Item.query.get(item_id)
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if not item:
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if not get_and_save_item(f"Q{item_id}"):
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continue
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item = model.Item.query.get(item_id)
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items.append(item)
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return items
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def get_item_tags(item):
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skip_tags = {"Key:addr", "Key:addr:street", "Key:lit"}
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isa_items = []
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isa_list = [v["numeric-id"] for v in item.get_claim("P31")]
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isa_items = [(isa, []) for isa in get_items(isa_list)]
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osm_list = defaultdict(list)
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skip_isa = {row[0] for row in database.session.query(model.SkipIsA.item_id)}
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if item.is_tram_stop():
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skip_isa.add(41176) # building (Q41176)
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seen = set(isa_list) | skip_isa
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while isa_items:
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isa, isa_path = isa_items.pop()
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if not isa:
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continue
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isa_path = isa_path + [{'qid': isa.qid, 'label': isa.label()}]
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osm = [v for v in isa.get_claim("P1282") if v not in skip_tags]
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if isa.qid in extra_keys:
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osm += extra_keys[isa.qid]
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for i in osm:
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osm_list[i].append(isa_path[:])
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subclass_of = {v["numeric-id"] for v in (isa.get_claim("P279") or []) if v}
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religion = {v["numeric-id"] for v in (isa.get_claim("P140") or []) if v}
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sport = {v["numeric-id"] for v in (isa.get_claim("P641") or []) if v}
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use = {v["numeric-id"] for v in (isa.get_claim("P366") or []) if v}
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check = subclass_of | religion | sport | use
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print(isa.qid, isa.label(), check)
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isa_list = check - seen
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seen.update(isa_list)
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isa_items += [(isa, isa_path) for isa in get_items(isa_list)]
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return {key: list(values) for key, values in osm_list.items()}
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def wikidata_items_count(bounds):
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q = (
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model.Item.query.join(model.ItemLocation)
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.filter(func.ST_Covers(make_envelope(bounds), model.ItemLocation.location))
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)
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return q.count()
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def wikidata_isa_counts(bounds):
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db_bbox = make_envelope(bounds)
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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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)
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db_items = q.all()
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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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return isa_count
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def get_tag_filter(tags, tag_list):
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tag_filter = []
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for tag_or_key in tag_list:
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if tag_or_key.startswith("Key:"):
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tag_filter.append(and_(tags.has_key(tag_or_key[4:]),
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tags[tag_or_key[4:]] != 'no'))
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if tag_or_key.startswith("Tag:"):
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k, _, v = tag_or_key.partition("=")
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tag_filter.append(tags[k[4:]] == v)
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return tag_filter
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def get_preset_translations():
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app = current_app
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country_language = {
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'AU': 'en-AU', # Australia
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'GB': 'en-GB', # United Kingdom
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'IE': 'en-GB', # Ireland
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'IN': 'en-IN', # India
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'NZ': 'en-NZ', # New Zealand
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}
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ts_dir = app.config["ID_TAGGING_SCHEMA_DIR"]
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translation_dir = os.path.join(ts_dir, "dist", "translations")
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for code in g.alpha2_codes:
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if code not in country_language:
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continue
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filename = os.path.join(translation_dir, country_language[code] + ".json")
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return json.load(open(filename))["en-GB"]["presets"]["presets"]
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return {}
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def get_presets_from_tags(ending, tags):
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translations = get_preset_translations()
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found = []
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for k, v in tags.items():
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if k == 'amenity' and v == 'clock' and tags.get('display') == 'sundial':
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tag_or_key = f"Tag:{k}={v}"
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found.append({"tag_or_key": tag_or_key, "name": "Sundial"})
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continue
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match = find_preset_file(k, v, ending)
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if not match:
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continue
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preset = match["preset"]
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if preset in translations:
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match["name"] = translations[preset]["name"]
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else:
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match["name"] = json.load(open(match["filename"]))["name"]
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del match["filename"]
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found.append(match)
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return found
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def find_preset_file(k, v, ending):
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app = current_app
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ts_dir = app.config["ID_TAGGING_SCHEMA_DIR"]
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preset_dir = os.path.join(ts_dir, "data", "presets")
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filename = os.path.join(preset_dir, k, v + ".json")
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if os.path.exists(filename):
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return {
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"tag_or_key": f"Tag:{k}={v}",
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"preset": f"{k}/{v}",
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"filename": filename,
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}
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filename = os.path.join(preset_dir, k, f"{v}_{ending}.json")
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if os.path.exists(filename):
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return {
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"tag_or_key": f"Tag:{k}={v}",
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"preset": f"{k}/{v}",
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"filename": filename,
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}
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filename = os.path.join(preset_dir, k, "_" + v + ".json")
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if os.path.exists(filename):
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return {
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"tag_or_key": f"Tag:{k}={v}",
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"preset": f"{k}/{v}",
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"filename": filename,
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}
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filename = os.path.join(preset_dir, k + ".json")
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if os.path.exists(filename):
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return {
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"tag_or_key": f"Key:{k}",
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"preset": k,
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"filename": filename,
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}
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def address_from_tags(tags):
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keys = ["street", "housenumber"]
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if not all("addr:" + k in tags for k in keys):
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return
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if g.street_number_first:
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keys.reverse()
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return " ".join(tags["addr:" + k] for k in keys)
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def address_node_label(tags):
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address = address_from_tags(tags)
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return f"{tags['name']} ({address})" if "name" in tags else address
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def get_address_nodes_within_building(osm_id, bbox_list):
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q = model.Point.query.filter(
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polygon.c.osm_id == osm_id,
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or_(*[func.ST_Intersects(bbox, model.Point.way)
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for bbox in bbox_list]),
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func.ST_Covers(polygon.c.way, model.Point.way),
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model.Point.tags.has_key("addr:street"),
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model.Point.tags.has_key("addr:housenumber"),
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)
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return [node.tags for node in q]
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def osm_display_name(tags):
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keys = ("bridge:name", "tunnel:name", "lock_name", "name", "addr:housename",
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"inscription")
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for key in keys:
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if key in tags:
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return tags[key]
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def street_address_in_tags(tags):
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return "addr:housenumber" in tags and "addr:street" in tags
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def find_osm_candidates(item, limit=60, max_distance=400, names=None):
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item_id = item.item_id
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item_is_street = item.is_street()
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print("is street:", item_is_street)
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check_is_street_number_first(item.locations[0].get_lat_lon())
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bbox_list = [make_envelope_around_point(*loc.get_lat_lon(), max_distance)
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for loc in item.locations]
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null_area = cast(None, Float)
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dist = column('dist')
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tags = column('tags', postgresql.HSTORE)
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tag_list = get_item_tags(item)
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s_point = (select([literal('point'), point.c.osm_id, point.c.tags.label('tags'),
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func.min(func.ST_DistanceSphere(model.ItemLocation.location, point.c.way)).label('dist'),
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func.ST_AsText(point.c.way),
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func.ST_AsGeoJSON(point.c.way),
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null_area]).
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where(and_(
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or_(*[func.ST_Intersects(bbox, point.c.way)
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for bbox in bbox_list]),
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model.ItemLocation.item_id == item_id,
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or_(*get_tag_filter(point.c.tags, tag_list)))).
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group_by(point.c.osm_id, point.c.tags, point.c.way))
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s_line = (select([literal('line'), line.c.osm_id, line.c.tags.label('tags'),
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func.min(func.ST_DistanceSphere(model.ItemLocation.location, line.c.way)).label('dist'),
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func.ST_AsText(func.ST_Centroid(func.ST_Collect(line.c.way))),
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func.ST_AsGeoJSON(func.ST_Collect(line.c.way)),
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null_area]).
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where(and_(
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or_(*[func.ST_Intersects(bbox, line.c.way) for bbox in bbox_list]),
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model.ItemLocation.item_id == item_id,
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or_(*get_tag_filter(line.c.tags, tag_list)))).
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group_by(line.c.osm_id, line.c.tags))
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s_polygon = (select([literal('polygon'), polygon.c.osm_id, polygon.c.tags.label('tags'),
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|
func.min(func.ST_DistanceSphere(model.ItemLocation.location, polygon.c.way)).label('dist'),
|
|
func.ST_AsText(func.ST_Centroid(func.ST_Collect(polygon.c.way))),
|
|
func.ST_AsGeoJSON(func.ST_Collect(polygon.c.way)),
|
|
func.ST_Area(func.ST_Collect(polygon.c.way))]).
|
|
where(and_(
|
|
or_(*[func.ST_Intersects(bbox, polygon.c.way) for bbox in bbox_list]),
|
|
model.ItemLocation.item_id == item_id,
|
|
or_(*get_tag_filter(polygon.c.tags, tag_list)))).
|
|
group_by(polygon.c.osm_id, polygon.c.tags).
|
|
having(func.ST_Area(func.ST_Collect(polygon.c.way)) < 20 * func.ST_Area(bbox_list[0])))
|
|
|
|
tables = ([] if item_is_street else [s_point]) + [s_line, s_polygon]
|
|
s = select([union(*tables).alias()]).where(dist < max_distance).order_by(dist)
|
|
|
|
if names:
|
|
s = s.where(tags["name"].in_(names))
|
|
|
|
if item_is_street:
|
|
s = s.where(tags["highway"] != "bus_stop")
|
|
if not names:
|
|
s = s.where(tags.has_key("name"))
|
|
|
|
if "Key:amenity" in tag_list:
|
|
s = s.where(and_(tags["amenity"] != "bicycle_parking",
|
|
tags["amenity"] != "bicycle_repair_station",
|
|
tags["amenity"] != "atm",
|
|
tags["amenity"] != "recycling"))
|
|
|
|
if limit:
|
|
s = s.limit(limit)
|
|
|
|
# print(s.compile(compile_kwargs={"literal_binds": True}))
|
|
|
|
conn = database.session.connection()
|
|
nearby = []
|
|
for table, src_id, tags, distance, centroid, geojson, area in conn.execute(s):
|
|
osm_id = src_id
|
|
if table == "point":
|
|
osm_type = "node"
|
|
elif osm_id > 0:
|
|
osm_type = "way"
|
|
else:
|
|
osm_type = "relation"
|
|
osm_id = -osm_id
|
|
|
|
tags.pop("way_area", None)
|
|
name = osm_display_name(tags)
|
|
if not name and street_address_in_tags(tags):
|
|
name = address_from_tags(tags)
|
|
|
|
if table == "polygon" and "building" in tags:
|
|
address_nodes = get_address_nodes_within_building(src_id, bbox_list)
|
|
address_list = [address_node_label(addr) for addr in address_nodes]
|
|
else:
|
|
address_list = []
|
|
|
|
shape = "area" if table == "polygon" else table
|
|
|
|
cur = {
|
|
"identifier": f"{osm_type}/{osm_id}",
|
|
"type": osm_type,
|
|
"id": osm_id,
|
|
"distance": distance,
|
|
"name": name,
|
|
"tags": tags,
|
|
"geojson": json.loads(geojson),
|
|
"presets": get_presets_from_tags(shape, tags),
|
|
"address_list": address_list,
|
|
"centroid": list(reversed(re_point.match(centroid).groups())),
|
|
}
|
|
if area is not None:
|
|
cur["area"] = area
|
|
|
|
part_of = [i for i in get_part_of(table, src_id, bbox_list)
|
|
if i["tags"]["name"] != name]
|
|
if part_of:
|
|
cur["part_of"] = part_of
|
|
|
|
if address := address_from_tags(tags):
|
|
cur["address"] = address
|
|
|
|
nearby.append(cur)
|
|
|
|
return nearby
|
|
|
|
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_item_street_addresses(item):
|
|
street_address = [addr["text"] for addr in item.get_claim("P6375") if addr]
|
|
if street_address or "P669" not in item.claims:
|
|
return street_address
|
|
|
|
for claim in item.claims["P669"]:
|
|
qualifiers = claim.get("qualifiers")
|
|
if not qualifiers or 'P670' not in qualifiers:
|
|
continue
|
|
number = qualifiers["P670"][0]["datavalue"]["value"]
|
|
|
|
street_item = get_item(claim["mainsnak"]["datavalue"]["value"]["numeric-id"])
|
|
street = street_item.label()
|
|
for q in qualifiers["P670"]:
|
|
number = q["datavalue"]["value"]
|
|
address = (f"{number} {street}"
|
|
if g.street_number_first
|
|
else f"{street} {number}")
|
|
street_address.append(address)
|
|
|
|
return street_address
|
|
|
|
def check_is_street_number_first(latlng):
|
|
g.street_number_first = is_street_number_first(*latlng)
|
|
|
|
def item_detail(item):
|
|
locations = [list(i.get_lat_lon()) for i in item.locations]
|
|
if not hasattr(g, 'street_number_first'):
|
|
g.street_number_first = is_street_number_first(*locations[0])
|
|
|
|
image_filenames = item.get_claim("P18")
|
|
|
|
street_address = get_item_street_addresses(item)
|
|
|
|
d = {
|
|
"qid": item.qid,
|
|
"label": item.label(),
|
|
"description": item.description(),
|
|
"markers": locations,
|
|
"image_list": image_filenames,
|
|
"street_address": street_address,
|
|
"isa_list": item.get_isa_qids(),
|
|
"closed": item.closed(),
|
|
}
|
|
|
|
if aliases := item.get_aliases():
|
|
d["aliases"] = aliases
|
|
|
|
return d
|
|
|
|
|
|
def get_markers(all_items):
|
|
return [item_detail(item) for item in all_items if item]
|
|
|
|
|
|
def wikidata_items(bounds):
|
|
check_is_street_number_first(get_bbox_centroid(bounds))
|
|
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)
|
|
|
|
return {'items': items, 'isa_count': isa_count}
|
|
|
|
|
|
def missing_wikidata_items(qids, lat, lon):
|
|
g.street_number_first = is_street_number_first(lat, lon)
|
|
|
|
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 dict(items=items, isa_count=isa_count)
|