import time
import datetime as dt
+import sqlalchemy as sa
+
import nominatim.api as napi
from nominatim.db.sql_preprocessor import SQLPreprocessor
+from nominatim.api.search.query_analyzer_factory import make_query_analyzer
+from nominatim.tools import convert_sqlite
+import nominatim.api.logging as loglib
class APITester:
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):
+ self.add_data('postcode',
+ {'place_id': kw.get('place_id', 1000),
+ 'parent_place_id': kw.get('parent_place_id'),
+ 'country_code': kw.get('country_code'),
+ 'postcode': kw.get('postcode'),
+ 'rank_search': kw.get('rank_search', 20),
+ 'rank_address': kw.get('rank_address', 22),
+ 'indexed_date': kw.get('indexed_date',
+ dt.datetime(2022, 12, 7, 14, 14, 46, 0)),
+ '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}')
+ """)))
+
+
+ def add_word_table(self, content):
+ data = [dict(zip(['word_id', 'word_token', 'type', 'word', 'info'], c))
+ for c in content]
+
+ async def _do_sql():
+ async with self.api._async_api.begin() as conn:
+ if 'word' not in conn.t.meta.tables:
+ await make_query_analyzer(conn)
+ word_table = conn.t.meta.tables['word']
+ await conn.connection.run_sync(word_table.create)
+ if data:
+ await conn.execute(conn.t.meta.tables['word'].insert(), data)
+
+ self.async_to_sync(_do_sql())
+
async def exec_async(self, sql, *args, **kwargs):
async with self.api._async_api.begin() as conn:
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/ranking.sql')
+ loglib.set_log_output('text')
yield testapi
+ print(loglib.get_and_disable())
testapi.api.close()
+
+
+@pytest.fixture(params=['postgres_db', 'sqlite_db'])
+def frontend(request, event_loop, tmp_path):
+ testapis = []
+ if request.param == 'sqlite_db':
+ db = str(tmp_path / 'test_nominatim_python_unittest.sqlite')
+
+ def mkapi(apiobj, options={'reverse'}):
+ apiobj.add_data('properties',
+ [{'property': 'tokenizer', 'value': 'icu'},
+ {'property': 'tokenizer_import_normalisation', 'value': ':: lower();'},
+ {'property': 'tokenizer_import_transliteration', 'value': "'1' > '/1/'; 'ä' > 'ä '"},
+ ])
+
+ async def _do_sql():
+ async with apiobj.api._async_api.begin() as conn:
+ if 'word' in conn.t.meta.tables:
+ return
+ await make_query_analyzer(conn)
+ word_table = conn.t.meta.tables['word']
+ await conn.connection.run_sync(word_table.create)
+
+ apiobj.async_to_sync(_do_sql())
+
+ event_loop.run_until_complete(convert_sqlite.convert(Path('/invalid'),
+ db, options))
+ outapi = napi.NominatimAPI(Path('/invalid'),
+ {'NOMINATIM_DATABASE_DSN': f"sqlite:dbname={db}",
+ 'NOMINATIM_USE_US_TIGER_DATA': 'yes'})
+ testapis.append(outapi)
+
+ return outapi
+ elif request.param == 'postgres_db':
+ def mkapi(apiobj, options=None):
+ return apiobj.api
+
+ yield mkapi
+
+ for api in testapis:
+ api.close()
projects / nominatim.git / blobdiff