import time
import datetime as dt
+import sqlalchemy as sa
+
import nominatim.api as napi
from nominatim.db.sql_preprocessor import SQLPreprocessor
import nominatim.api.logging as loglib
if isinstance(name, str):
name = {'name': name}
+ centroid = kw.get('centroid', (23.0, 34.0))
+ geometry = kw.get('geometry', 'POINT(%f %f)' % centroid)
+
self.add_data('placex',
{'place_id': kw.get('place_id', 1000),
'osm_type': kw.get('osm_type', 'W'),
'rank_search': kw.get('rank_search', 30),
'rank_address': kw.get('rank_address', 30),
'importance': kw.get('importance'),
- 'centroid': 'SRID=4326;POINT(%f %f)' % kw.get('centroid', (23.0, 34.0)),
+ 'centroid': 'POINT(%f %f)' % centroid,
+ 'indexed_status': kw.get('indexed_status', 0),
'indexed_date': kw.get('indexed_date',
dt.datetime(2022, 12, 7, 14, 14, 46, 0)),
- 'geometry': 'SRID=4326;' + kw.get('geometry', 'POINT(23 34)')})
+ 'geometry': geometry})
def add_address_placex(self, object_id, **kw):
'address': kw.get('address'),
'postcode': kw.get('postcode'),
'country_code': kw.get('country_code'),
- 'linegeo': 'SRID=4326;' + kw.get('geometry', 'LINESTRING(1.1 -0.2, 1.09 -0.22)')})
+ 'linegeo': kw.get('geometry', 'LINESTRING(1.1 -0.2, 1.09 -0.22)')})
def add_tiger(self, **kw):
'endnumber': kw.get('endnumber', 6),
'step': kw.get('step', 2),
'postcode': kw.get('postcode'),
- 'linegeo': 'SRID=4326;' + kw.get('geometry', 'LINESTRING(1.1 -0.2, 1.09 -0.22)')})
+ 'linegeo': kw.get('geometry', 'LINESTRING(1.1 -0.2, 1.09 -0.22)')})
def add_postcode(self, **kw):
'rank_address': kw.get('rank_address', 22),
'indexed_date': kw.get('indexed_date',
dt.datetime(2022, 12, 7, 14, 14, 46, 0)),
- 'geometry': 'SRID=4326;' + kw.get('geometry', 'POINT(23 34)')})
+ 'geometry': kw.get('geometry', 'POINT(23 34)')})
+
+
+ def add_country(self, country_code, geometry):
+ self.add_data('country_grid',
+ {'country_code': country_code,
+ 'area': 0.1,
+ 'geometry': geometry})
+
+
+ def add_country_name(self, country_code, names, partition=0):
+ self.add_data('country_name',
+ {'country_code': country_code,
+ 'name': names,
+ 'partition': partition})
+
+
+ def add_search_name(self, place_id, **kw):
+ centroid = kw.get('centroid', (23.0, 34.0))
+ self.add_data('search_name',
+ {'place_id': place_id,
+ 'importance': kw.get('importance', 0.00001),
+ 'search_rank': kw.get('search_rank', 30),
+ 'address_rank': kw.get('address_rank', 30),
+ 'name_vector': kw.get('names', []),
+ 'nameaddress_vector': kw.get('address', []),
+ 'country_code': kw.get('country_code', 'xx'),
+ 'centroid': 'POINT(%f %f)' % centroid})
+
+
+ def add_class_type_table(self, cls, typ):
+ self.async_to_sync(
+ self.exec_async(sa.text(f"""CREATE TABLE place_classtype_{cls}_{typ}
+ AS (SELECT place_id, centroid FROM placex
+ WHERE class = '{cls}' AND type = '{typ}')
+ """)))
async def exec_async(self, sql, *args, **kwargs):
testapi = APITester()
testapi.async_to_sync(testapi.create_tables())
- SQLPreprocessor(temp_db_conn, testapi.api.config)\
- .run_sql_file(temp_db_conn, 'functions/address_lookup.sql')
+ proc = SQLPreprocessor(temp_db_conn, testapi.api.config)
+ proc.run_sql_file(temp_db_conn, 'functions/address_lookup.sql')
+ proc.run_sql_file(temp_db_conn, 'functions/ranking.sql')
loglib.set_log_output('text')
yield testapi