owl-map/web_view.py
2021-05-14 11:05:58 +02:00

856 lines
28 KiB
Python
Executable file

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