X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/189f74a40de0f0f7ff1346a66d9beffe026d9e23..edb1eec46d0fd222f9b30e0e3d62e906c1c9059e:/test/python/api/conftest.py?ds=sidebyside diff --git a/test/python/api/conftest.py b/test/python/api/conftest.py index 2fc71202..05eaddf5 100644 --- a/test/python/api/conftest.py +++ b/test/python/api/conftest.py @@ -12,13 +12,18 @@ import pytest 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: def __init__(self): - self.api = napi.NominatimAPI(Path('/invalid'), {}) + self.api = napi.NominatimAPI(Path('/invalid')) self.async_to_sync(self.api._async_api.setup_database()) @@ -41,6 +46,9 @@ 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'), @@ -60,10 +68,11 @@ class APITester: '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): @@ -77,6 +86,97 @@ class APITester: 'isaddress': kw.get('isaddress', True)}) + def add_osmline(self, **kw): + self.add_data('osmline', + {'place_id': kw.get('place_id', 10000), + 'osm_id': kw.get('osm_id', 4004), + 'parent_place_id': kw.get('parent_place_id'), + 'indexed_date': kw.get('indexed_date', + dt.datetime(2022, 12, 7, 14, 14, 46, 0)), + 'startnumber': kw.get('startnumber', 2), + 'endnumber': kw.get('endnumber', 6), + 'step': kw.get('step', 2), + 'address': kw.get('address'), + 'postcode': kw.get('postcode'), + 'country_code': kw.get('country_code'), + 'linegeo': kw.get('geometry', 'LINESTRING(1.1 -0.2, 1.09 -0.22)')}) + + + def add_tiger(self, **kw): + self.add_data('tiger', + {'place_id': kw.get('place_id', 30000), + 'parent_place_id': kw.get('parent_place_id'), + 'startnumber': kw.get('startnumber', 2), + 'endnumber': kw.get('endnumber', 6), + 'step': kw.get('step', 2), + 'postcode': kw.get('postcode'), + '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: return await conn.execute(sql, *args, **kwargs) @@ -88,15 +188,59 @@ class APITester: @pytest.fixture -def apiobj(temp_db_with_extensions, temp_db_conn): +def apiobj(temp_db_with_extensions, temp_db_conn, monkeypatch): """ Create an asynchronous SQLAlchemy engine for the test DB. """ + monkeypatch.setenv('NOMINATIM_USE_US_TIGER_DATA', 'yes') 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()