from nominatim.tokenizer.icu_name_processor import ICUNameProcessorRules
from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
from nominatim.db import properties
+from nominatim.db.sql_preprocessor import SQLPreprocessor
from mock_icu_word_table import MockIcuWordTable
return _mk_analyser
+@pytest.fixture
+def sql_functions(temp_db_conn, def_config, src_dir):
+ orig_sql = def_config.lib_dir.sql
+ def_config.lib_dir.sql = src_dir / 'lib-sql'
+ sqlproc = SQLPreprocessor(temp_db_conn, def_config)
+ sqlproc.run_sql_file(temp_db_conn, 'functions/utils.sql')
+ sqlproc.run_sql_file(temp_db_conn, 'tokenizer/icu_tokenizer.sql')
+ def_config.lib_dir.sql = orig_sql
+
@pytest.fixture
def getorcreate_full_word(temp_db_cursor):
tok.init_new_db(test_config)
assert db_prop(icu_tokenizer.DBCFG_TERM_NORMALIZATION) == ':: lower();'
- assert db_prop(icu_tokenizer.DBCFG_MAXWORDFREQ) is not None
def test_init_word_table(tokenizer_factory, test_config, place_row, word_table):
def test_init_from_project(monkeypatch, test_config, tokenizer_factory):
monkeypatch.setenv('NOMINATIM_TERM_NORMALIZATION', ':: lower();')
- monkeypatch.setenv('NOMINATIM_MAX_WORD_FREQUENCY', '90300')
tok = tokenizer_factory()
tok.init_new_db(test_config)
monkeypatch.undo()
assert tok.naming_rules is not None
assert tok.term_normalization == ':: lower();'
- assert tok.max_word_frequency == '90300'
def test_update_sql_functions(db_prop, temp_db_cursor,
tokenizer_factory, test_config, table_factory,
monkeypatch):
- monkeypatch.setenv('NOMINATIM_MAX_WORD_FREQUENCY', '1133')
tok = tokenizer_factory()
tok.init_new_db(test_config)
- monkeypatch.undo()
-
- assert db_prop(icu_tokenizer.DBCFG_MAXWORDFREQ) == '1133'
table_factory('test', 'txt TEXT')
func_file = test_config.lib_dir.sql / 'tokenizer' / 'icu_tokenizer.sql'
- func_file.write_text("""INSERT INTO test VALUES ('{{max_word_freq}}')""")
+ func_file.write_text("""INSERT INTO test VALUES (1133)""")
tok.update_sql_functions(test_config)
class TestPlaceNames:
@pytest.fixture(autouse=True)
- def setup(self, analyzer, getorcreate_full_word):
+ def setup(self, analyzer, sql_functions):
with analyzer() as anl:
self.analyzer = anl
yield anl
class TestPlaceAddress:
@pytest.fixture(autouse=True)
- def setup(self, analyzer, getorcreate_full_word):
+ def setup(self, analyzer, sql_functions):
with analyzer(trans=(":: upper()", "'🜵' > ' '")) as anl:
self.analyzer = anl
yield anl
def test_process_place_street(self):
info = self.process_address(street='Grand Road')
- assert eval(info['street']) == self.name_token_set('#GRAND ROAD')
+ assert eval(info['street']) == self.name_token_set('GRAND', 'ROAD')
def test_process_place_street_empty(self):
def test_process_place_place(self):
info = self.process_address(place='Honu Lulu')
- assert eval(info['place_search']) == self.name_token_set('#HONU LULU',
- 'HONU', 'LULU')
- assert eval(info['place_match']) == self.name_token_set('#HONU LULU')
+ assert eval(info['place']) == self.name_token_set('HONU', 'LULU')
def test_process_place_place_empty(self):
info = self.process_address(place='🜵')
- assert 'place_search' not in info
- assert 'place_match' not in info
+ assert 'place' not in info
def test_process_place_address_terms(self):
suburb='Zwickau', street='Hauptstr',
full='right behind the church')
- city_full = self.name_token_set('#ZWICKAU')
- city_all = self.name_token_set('#ZWICKAU', 'ZWICKAU')
- state_full = self.name_token_set('#SACHSEN')
- state_all = self.name_token_set('#SACHSEN', 'SACHSEN')
+ city = self.name_token_set('ZWICKAU')
+ state = self.name_token_set('SACHSEN')
- result = {k: [eval(v[0]), eval(v[1])] for k,v in info['addr'].items()}
+ result = {k: eval(v) for k,v in info['addr'].items()}
- assert result == {'city': [city_all, city_full],
- 'suburb': [city_all, city_full],
- 'state': [state_all, state_full]}
+ assert result == {'city': city, 'suburb': city, 'state': state}
def test_process_place_address_terms_empty(self):