from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
from nominatim.db import properties
+from mock_icu_word_table import MockIcuWordTable
+
+@pytest.fixture
+def word_table(temp_db_conn):
+ return MockIcuWordTable(temp_db_conn)
+
@pytest.fixture
def test_config(def_config, tmp_path):
sqldir.mkdir()
(sqldir / 'tokenizer').mkdir()
(sqldir / 'tokenizer' / 'legacy_icu_tokenizer.sql').write_text("SELECT 'a'")
- shutil.copy(str(def_config.lib_dir.sql / 'tokenizer' / 'legacy_tokenizer_tables.sql'),
- str(sqldir / 'tokenizer' / 'legacy_tokenizer_tables.sql'))
+ shutil.copy(str(def_config.lib_dir.sql / 'tokenizer' / 'icu_tokenizer_tables.sql'),
+ str(sqldir / 'tokenizer' / 'icu_tokenizer_tables.sql'))
def_config.lib_dir.sql = sqldir
term_count INTEGER;
BEGIN
SELECT min(word_id) INTO full_token
- FROM word WHERE word = norm_term and class is null and country_code is null;
+ FROM word WHERE info->>'word' = norm_term and type = 'W';
IF full_token IS NULL THEN
full_token := nextval('seq_word');
- INSERT INTO word (word_id, word_token, word, search_name_count)
- SELECT full_token, ' ' || lookup_term, norm_term, 0 FROM unnest(lookup_terms) as lookup_term;
+ INSERT INTO word (word_id, word_token, type, info)
+ SELECT full_token, lookup_term, 'W',
+ json_build_object('word', norm_term, 'count', 0)
+ FROM unnest(lookup_terms) as lookup_term;
END IF;
FOR term IN SELECT unnest(string_to_array(unnest(lookup_terms), ' ')) LOOP
partial_tokens := '{}'::INT[];
FOR term IN SELECT unnest(partial_terms) LOOP
- SELECT min(word_id), max(search_name_count) INTO term_id, term_count
- FROM word WHERE word_token = term and class is null and country_code is null;
+ SELECT min(word_id), max(info->>'count') INTO term_id, term_count
+ FROM word WHERE word_token = term and type = 'w';
IF term_id IS NULL THEN
term_id := nextval('seq_word');
term_count := 0;
- INSERT INTO word (word_id, word_token, search_name_count)
- VALUES (term_id, term, 0);
+ INSERT INTO word (word_id, word_token, type, info)
+ VALUES (term_id, term, 'w', json_build_object('count', term_count));
END IF;
IF NOT (ARRAY[term_id] <@ partial_tokens) THEN
- partial_tokens := partial_tokens || term_id;
+ partial_tokens := partial_tokens || term_id;
END IF;
END LOOP;
END;
tok = tokenizer_factory()
tok.init_new_db(test_config)
- assert word_table.get_partial_words() == {('test', 1), ('52', 1),
+ assert word_table.get_partial_words() == {('test', 1),
('no', 1), ('area', 2),
- ('holzstrasse', 1), ('holzstr', 1),
('holz', 1), ('strasse', 1),
('str', 1)}
], True)
assert word_table.get_special() \
- == {(' KÖNIG BEI', 'König bei', 'amenity', 'royal', 'near'),
- (' KÖNIGE', 'Könige', 'amenity', 'royal', None),
- (' STREET', 'street', 'highway', 'primary', 'in')}
+ == {('KÖNIG BEI', 'König bei', 'amenity', 'royal', 'near'),
+ ('KÖNIGE', 'Könige', 'amenity', 'royal', None),
+ ('STREET', 'street', 'highway', 'primary', 'in')}
def test_update_special_phrase_delete_all(analyzer, word_table):
- word_table.add_special(' FOO', 'foo', 'amenity', 'prison', 'in')
- word_table.add_special(' BAR', 'bar', 'highway', 'road', None)
+ word_table.add_special('FOO', 'foo', 'amenity', 'prison', 'in')
+ word_table.add_special('BAR', 'bar', 'highway', 'road', None)
assert word_table.count_special() == 2
def test_update_special_phrases_no_replace(analyzer, word_table):
- word_table.add_special(' FOO', 'foo', 'amenity', 'prison', 'in')
- word_table.add_special(' BAR', 'bar', 'highway', 'road', None)
+ word_table.add_special('FOO', 'foo', 'amenity', 'prison', 'in')
+ word_table.add_special('BAR', 'bar', 'highway', 'road', None)
assert word_table.count_special() == 2
def test_update_special_phrase_modify(analyzer, word_table):
- word_table.add_special(' FOO', 'foo', 'amenity', 'prison', 'in')
- word_table.add_special(' BAR', 'bar', 'highway', 'road', None)
+ word_table.add_special('FOO', 'foo', 'amenity', 'prison', 'in')
+ word_table.add_special('BAR', 'bar', 'highway', 'road', None)
assert word_table.count_special() == 2
], True)
assert word_table.get_special() \
- == {(' PRISON', 'prison', 'amenity', 'prison', 'in'),
- (' BAR', 'bar', 'highway', 'road', None),
- (' GARDEN', 'garden', 'leisure', 'garden', 'near')}
+ == {('PRISON', 'prison', 'amenity', 'prison', 'in'),
+ ('BAR', 'bar', 'highway', 'road', None),
+ ('GARDEN', 'garden', 'leisure', 'garden', 'near')}
def test_add_country_names_new(analyzer, word_table):
with analyzer() as anl:
anl.add_country_names('es', {'name': 'Espagña', 'name:en': 'Spain'})
- assert word_table.get_country() == {('es', ' ESPAGÑA'), ('es', ' SPAIN')}
+ assert word_table.get_country() == {('es', 'ESPAGÑA'), ('es', 'SPAIN')}
def test_add_country_names_extend(analyzer, word_table):
- word_table.add_country('ch', ' SCHWEIZ')
+ word_table.add_country('ch', 'SCHWEIZ')
with analyzer() as anl:
anl.add_country_names('ch', {'name': 'Schweiz', 'name:fr': 'Suisse'})
- assert word_table.get_country() == {('ch', ' SCHWEIZ'), ('ch', ' SUISSE')}
+ assert word_table.get_country() == {('ch', 'SCHWEIZ'), ('ch', 'SUISSE')}
class TestPlaceNames:
def expect_name_terms(self, info, *expected_terms):
tokens = self.analyzer.get_word_token_info(expected_terms)
+ print (tokens)
for token in tokens:
assert token[2] is not None, "No token for {0}".format(token)
def test_simple_names(self):
info = self.analyzer.process_place({'name': {'name': 'Soft bAr', 'ref': '34'}})
- self.expect_name_terms(info, '#Soft bAr', '#34','Soft', 'bAr', '34')
+ self.expect_name_terms(info, '#Soft bAr', '#34', 'Soft', 'bAr', '34')
@pytest.mark.parametrize('sep', [',' , ';'])
'country_feature': 'no'})
self.expect_name_terms(info, '#norge', 'norge')
- assert word_table.get_country() == {('no', ' NORGE')}
+ assert word_table.get_country() == {('no', 'NORGE')}
class TestPlaceAddress: