Switch to SQLAlchemy Core for OSM objects
osm2pgsql creates tables without primary keys. Some OSM objects are split into multiple table rows to help with PostGIS index performance. Adjust the code to be aware of this. Also add name matching for streets.
This commit is contained in:
parent
8b7ab45c73
commit
867e77ab7b
355
matcher/api.py
355
matcher/api.py
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@ -1,5 +1,10 @@
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from sqlalchemy import func, or_, and_
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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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@ -41,37 +46,61 @@ def is_street_number_first(lat, lon):
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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(thing, bbox):
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db_bbox = make_envelope(bbox)
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ewkt = thing.as_EWKT
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q = model.Polygon.query.filter(
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func.ST_Intersects(db_bbox, model.Polygon.way),
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func.ST_Covers(model.Polygon.way, func.ST_GeomFromEWKT(ewkt)),
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def get_part_of(table_name, src_id, bbox):
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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_(func.ST_Intersects(bbox, polygon.c.way),
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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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model.Polygon.tags.has_key("landuse"),
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model.Polygon.tags.has_key("amenity"),
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),
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model.Polygon.tags.has_key("name"),
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)
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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": polygon.type,
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"id": polygon.id,
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"tags": drop_way_area(polygon.tags),
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"area": polygon.area,
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} for polygon in q]
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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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@ -127,34 +156,51 @@ def get_items_in_bbox(bbox):
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def get_osm_with_wikidata_tag(bbox):
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db_bbox = make_envelope(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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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 or osm.tags.get("addr:housename") or "[no label]"
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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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{
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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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"geojson": osm.geojson(),
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"centroid": list(osm.get_centroid()),
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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": osm.tags["wikidata"],
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}
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)
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"wikidata": tags["wikidata"],
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})
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return tagged
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@ -250,73 +296,18 @@ def wikidata_isa_counts(bounds):
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return isa_count
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def get_tag_filter(cls, tag_list):
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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_(cls.tags.has_key(tag_or_key[4:]),
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cls.tags[tag_or_key[4:]] != 'no'))
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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(cls.tags[k[4:]] == v)
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tag_filter.append(tags[k[4:]] == v)
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return tag_filter
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def get_nearby(bbox, item, limit=60, max_distance=400):
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db_bbox = make_envelope(bbox)
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osm_objects = {}
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distances = {}
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tag_list = get_item_tags(item)
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if not tag_list:
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return []
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item_is_street = item.is_street()
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for loc in item.locations:
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lat, lon = loc.get_lat_lon()
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point = func.ST_SetSRID(func.ST_MakePoint(lon, lat), 4326)
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for cls in model.Point, model.Line, model.Polygon:
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if item_is_street and cls == model.Point:
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continue
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tag_filter = get_tag_filter(cls, tag_list)
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dist = func.ST_DistanceSphere(point, cls.way)
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q = (cls.query.add_columns(dist.label('distance'))
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.filter(
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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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or_(*tag_filter))
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.order_by(point.distance_centroid(cls.way)))
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if item_is_street:
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q = q.filter(cls.tags.has_key("name"),
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cls.tags["highway"] != 'bus_stop')
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if "Key:amenity" in tag_list:
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q = q.filter(cls.tags["amenity"] != "bicycle_parking",
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cls.tags["amenity"] != "bicycle_repair_station",
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cls.tags["amenity"] != "atm",
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cls.tags["amenity"] != "recycling")
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q = q.limit(limit)
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# print(q.statement.compile(compile_kwargs={"literal_binds": True}))
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for i, dist in q:
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if dist > max_distance:
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continue
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osm_objects.setdefault(i.identifier, i)
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if i.identifier not in distances or dist < distances[i.identifier]:
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distances[i.identifier] = dist
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nearby = [(osm_objects[identifier], dist)
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for identifier, dist
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in sorted(distances.items(), key=lambda i:i[1])]
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return nearby[:limit]
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def get_preset_translations():
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app = current_app
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@ -338,15 +329,13 @@ def get_preset_translations():
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return {}
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def get_presets_from_tags(osm):
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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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endings = {model.Point: "point", model.Line: "line", model.Polygon: "area"}
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ending = endings[type(osm)]
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for k, v in osm.tags.items():
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if k == 'amenity' and v == 'clock' and osm.tags.get('display') == 'sundial':
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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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@ -416,7 +405,7 @@ def address_from_tags(tags):
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return " ".join(tags["addr:" + k] for k in keys)
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def get_address_nodes_within_building(building, bbox):
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def old_get_address_nodes_within_building(building, bbox):
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db_bbox = make_envelope(bbox)
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ewkt = building.as_EWKT
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q = model.Point.query.filter(
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@ -428,45 +417,149 @@ def get_address_nodes_within_building(building, bbox):
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return [node.tags for node in q]
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def get_address_nodes_within_building(osm_id, bbox):
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q = model.Point.query.filter(
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polygon.c.osm_id == osm_id,
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func.ST_Intersects(bbox, model.Point.way),
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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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def find_osm_candidates(item, bounds):
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check_is_street_number_first(bounds)
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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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db_bbox = or_(*[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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func.ST_Intersects(db_bbox, point.c.way),
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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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func.ST_Intersects(db_bbox, line.c.way),
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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'),
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func.ST_AsText(func.ST_Centroid(func.ST_Collect(polygon.c.way))),
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func.ST_AsGeoJSON(func.ST_Collect(polygon.c.way)),
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func.ST_Area(func.ST_Collect(polygon.c.way))]).
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where(and_(
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func.ST_Intersects(db_bbox, polygon.c.way),
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model.ItemLocation.item_id == item_id,
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or_(*get_tag_filter(polygon.c.tags, tag_list)))).
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group_by(polygon.c.osm_id, polygon.c.tags).
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having(func.ST_Area(func.ST_Collect(polygon.c.way)) < 20 * func.ST_Area(db_bbox)))
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tables = ([] if item_is_street else [s_point]) + [s_line, s_polygon]
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s = select([union(*tables).alias()]).where(dist < max_distance).order_by(dist)
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if names:
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s = s.where(tags["name"].in_(names))
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if item_is_street:
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s = s.where(tags["highway"] != "bus_stop")
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if not names:
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s = s.where(tags.has_key("name"))
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if "Key:amenity" in tag_list:
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s = s.where(and_(tags["amenity"] != "bicycle_parking",
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tags["amenity"] != "bicycle_repair_station",
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tags["amenity"] != "atm",
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tags["amenity"] != "recycling"))
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if limit:
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s = s.limit(limit)
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print(s.compile(compile_kwargs={"literal_binds": True}))
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conn = database.session.connection()
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nearby = []
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for osm, dist in get_nearby(bounds, item):
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tags = osm.tags
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for table, src_id, tags, distance, centroid, geojson, area in conn.execute(s):
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osm_id = src_id
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if table == "point":
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osm_type = "node"
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elif osm_id > 0:
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osm_type = "way"
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else:
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osm_type = "relation"
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osm_id = -osm_id
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tags.pop("way_area", None)
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name = osm.display_name()
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if not name and osm.has_street_address:
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name = osm_display_name(tags)
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if not name and street_address_in_tags(tags):
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name = address_from_tags(tags)
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if isinstance(osm, model.Polygon) and "building" in osm.tags:
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address_nodes = get_address_nodes_within_building(osm, bounds)
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if table == "polygon" and "building" in tags:
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address_nodes = get_address_nodes_within_building(src_id, db_bbox)
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address_list = [address_from_tags(addr) for addr in address_nodes]
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else:
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address_list = []
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shape = "area" if table == "polygon" else table
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cur = {
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"identifier": osm.identifier,
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"type": osm.type,
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"id": osm.id,
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"distance": dist,
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"identifier": f"{osm_type}/{osm_id}",
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"type": osm_type,
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"id": osm_id,
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"distance": distance,
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"name": name,
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"tags": tags,
|
||||
"geojson": osm.geojson(),
|
||||
"presets": get_presets_from_tags(osm),
|
||||
"geojson": json.loads(geojson),
|
||||
"presets": get_presets_from_tags(shape, tags),
|
||||
"address_list": address_list,
|
||||
"centroid": list(osm.get_centroid()),
|
||||
"centroid": list(reversed(re_point.match(centroid).groups())),
|
||||
}
|
||||
if hasattr(osm, 'area'):
|
||||
cur["area"] = osm.area
|
||||
if area is not None:
|
||||
cur["area"] = area
|
||||
|
||||
part_of = [i for i in get_part_of(table, src_id, db_bbox)
|
||||
if i["tags"]["name"] != name]
|
||||
if part_of:
|
||||
cur["part_of"] = part_of
|
||||
|
||||
if address := address_from_tags(tags):
|
||||
cur["address"] = address
|
||||
|
||||
part_of = [i for i in get_part_of(osm, bounds) if i["tags"]["name"] != name]
|
||||
if part_of:
|
||||
cur["part_of"] = part_of
|
||||
|
||||
nearby.append(cur)
|
||||
|
||||
return nearby
|
||||
|
|
@ -503,8 +596,8 @@ def get_item_street_addresses(item):
|
|||
|
||||
return street_address
|
||||
|
||||
def check_is_street_number_first(bounds):
|
||||
g.street_number_first = is_street_number_first(*get_bbox_centroid(bounds))
|
||||
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]
|
||||
|
|
@ -537,7 +630,7 @@ def get_markers(all_items):
|
|||
|
||||
|
||||
def wikidata_items(bounds):
|
||||
check_is_street_number_first(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)
|
||||
|
|
|
|||
27
matcher/planet.py
Normal file
27
matcher/planet.py
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
from sqlalchemy import Table, Column, Integer, String, Float, MetaData
|
||||
from sqlalchemy.dialects import postgresql
|
||||
from geoalchemy2 import Geometry
|
||||
|
||||
metadata = MetaData()
|
||||
|
||||
point = Table("planet_osm_point", metadata,
|
||||
Column("osm_id", Integer),
|
||||
Column("name", String),
|
||||
Column("tags", postgresql.HSTORE),
|
||||
Column("way", Geometry("GEOMETRY", srid=4326, spatial_index=True), nullable=False),
|
||||
)
|
||||
|
||||
line = Table("planet_osm_line", metadata,
|
||||
Column("osm_id", Integer),
|
||||
Column("name", String),
|
||||
Column("tags", postgresql.HSTORE),
|
||||
Column("way", Geometry("GEOMETRY", srid=4326, spatial_index=True), nullable=False),
|
||||
)
|
||||
|
||||
polygon = Table("planet_osm_polygon", metadata,
|
||||
Column("osm_id", Integer),
|
||||
Column("name", String),
|
||||
Column("tags", postgresql.HSTORE),
|
||||
Column("way", Geometry("GEOMETRY", srid=4326, spatial_index=True), nullable=False),
|
||||
Column("way_area", Float),
|
||||
)
|
||||
41
web_view.py
41
web_view.py
|
|
@ -343,17 +343,54 @@ def api_get_item_tags(item_id):
|
|||
duration=t1)
|
||||
|
||||
|
||||
def expand_street_name(name):
|
||||
ret = {name}
|
||||
if any(name.startswith(st) for st in ('St ', 'St. ')):
|
||||
first_space = name.find(' ')
|
||||
ret.add("Saint" + name[first_space:])
|
||||
|
||||
if ', ' in name:
|
||||
for n in set(ret):
|
||||
comma = n.find(", ")
|
||||
ret.add(name[:comma])
|
||||
elif '/' in name:
|
||||
for n in set(ret):
|
||||
ret.extend(part.strip() for part in n.split("/"))
|
||||
|
||||
return ret
|
||||
|
||||
|
||||
@app.route("/api/1/item/Q<int:item_id>/candidates")
|
||||
def api_find_osm_candidates(item_id):
|
||||
t0 = time()
|
||||
bounds = read_bounds_param()
|
||||
item = model.Item.query.get(item_id)
|
||||
if not item:
|
||||
return cors_jsonify(success=True,
|
||||
qid=f'Q{item_id}',
|
||||
error="item doesn't exist")
|
||||
|
||||
nearby = api.find_osm_candidates(item, bounds)
|
||||
label = item.label()
|
||||
item_is_street = item.is_street()
|
||||
|
||||
if item_is_street:
|
||||
max_distance = 2_000
|
||||
limit = None
|
||||
names = expand_street_name(label)
|
||||
else:
|
||||
max_distance = 400
|
||||
limit = 60
|
||||
names = None
|
||||
nearby = api.find_osm_candidates(item,
|
||||
limit=limit,
|
||||
max_distance=max_distance,
|
||||
names=names)
|
||||
|
||||
if item_is_street and not nearby:
|
||||
# nearby = [osm for osm in nearby if street_name_match(label, osm)]
|
||||
|
||||
# try again without name filter
|
||||
nearby = api.find_osm_candidates(item, limit=100,
|
||||
max_distance=1_000)
|
||||
|
||||
t1 = time() - t0
|
||||
return cors_jsonify(success=True, qid=item.qid, nearby=nearby, duration=t1)
|
||||
|
|
|
|||
Loading…
Reference in a new issue