Tests for Legacy ICU tokenizer.
"""
import shutil
+import yaml
import pytest
from nominatim.tokenizer import legacy_icu_tokenizer
+from nominatim.tokenizer.icu_name_processor import ICUNameProcessorRules
+from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
from nominatim.db import properties
@pytest.fixture
def db_prop(temp_db_conn):
def _get_db_property(name):
- return properties.get_property(temp_db_conn,
- getattr(legacy_icu_tokenizer, name))
+ return properties.get_property(temp_db_conn, name)
return _get_db_property
-@pytest.fixture
-def tokenizer_setup(tokenizer_factory, test_config):
- tok = tokenizer_factory()
- tok.init_new_db(test_config)
-
@pytest.fixture
def analyzer(tokenizer_factory, test_config, monkeypatch,
tok.init_new_db(test_config)
monkeypatch.undo()
- def _mk_analyser(trans=':: upper();', abbr=(('STREET', 'ST'), )):
- tok.transliteration = trans
- tok.abbreviations = abbr
+ def _mk_analyser(norm=("[[:Punctuation:][:Space:]]+ > ' '",), trans=(':: upper()',),
+ suffixes=('gasse', ), abbr=('street => st', )):
+ cfgfile = tmp_path / 'analyser_test_config.yaml'
+ with cfgfile.open('w') as stream:
+ cfgstr = {'normalization' : list(norm),
+ 'transliteration' : list(trans),
+ 'compound_suffixes' : list(suffixes),
+ 'abbreviations' : list(abbr)}
+ yaml.dump(cfgstr, stream)
+ tok.naming_rules = ICUNameProcessorRules(loader=ICURuleLoader(cfgfile))
return tok.name_analyzer()
@pytest.fixture
-def getorcreate_term_id(temp_db_cursor):
- temp_db_cursor.execute("""CREATE OR REPLACE FUNCTION getorcreate_term_id(lookup_term TEXT)
- RETURNS INTEGER AS $$
- SELECT nextval('seq_word')::INTEGER; $$ LANGUAGE SQL""")
+def getorcreate_full_word(temp_db_cursor):
+ temp_db_cursor.execute("""CREATE OR REPLACE FUNCTION getorcreate_full_word(
+ norm_term TEXT, lookup_terms TEXT[],
+ OUT full_token INT,
+ OUT partial_tokens INT[])
+ AS $$
+DECLARE
+ partial_terms TEXT[] = '{}'::TEXT[];
+ term TEXT;
+ term_id INTEGER;
+ term_count INTEGER;
+BEGIN
+ SELECT min(word_id) INTO full_token
+ FROM word WHERE word = norm_term and class is null and country_code is null;
+
+ IF full_token IS NULL THEN
+ full_token := nextval('seq_word');
+ INSERT INTO word (word_id, word_token, word, search_name_count)
+ SELECT full_token, ' ' || lookup_term, norm_term, 0 FROM unnest(lookup_terms) as lookup_term;
+ END IF;
+
+ FOR term IN SELECT unnest(string_to_array(unnest(lookup_terms), ' ')) LOOP
+ term := trim(term);
+ IF NOT (ARRAY[term] <@ partial_terms) THEN
+ partial_terms := partial_terms || term;
+ END IF;
+ END LOOP;
+
+ partial_tokens := '{}'::INT[];
+ FOR term IN SELECT unnest(partial_terms) LOOP
+ SELECT min(word_id), max(search_name_count) INTO term_id, term_count
+ FROM word WHERE word_token = term and class is null and country_code is null;
+
+ IF term_id IS NULL THEN
+ term_id := nextval('seq_word');
+ term_count := 0;
+ INSERT INTO word (word_id, word_token, search_name_count)
+ VALUES (term_id, term, 0);
+ END IF;
+
+ IF NOT (ARRAY[term_id] <@ partial_tokens) THEN
+ partial_tokens := partial_tokens || term_id;
+ END IF;
+ END LOOP;
+END;
+$$
+LANGUAGE plpgsql;
+ """)
@pytest.fixture
tok = tokenizer_factory()
tok.init_new_db(test_config)
- assert db_prop('DBCFG_NORMALIZATION') == ':: lower();'
- assert db_prop('DBCFG_TRANSLITERATION') is not None
- assert db_prop('DBCFG_ABBREVIATIONS') is not None
+ assert db_prop(legacy_icu_tokenizer.DBCFG_TERM_NORMALIZATION) == ':: lower();'
+ assert db_prop(legacy_icu_tokenizer.DBCFG_MAXWORDFREQ) is not None
-def test_init_from_project(tokenizer_setup, tokenizer_factory):
+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()
+ tok = tokenizer_factory()
tok.init_from_project()
- assert tok.normalization is not None
- assert tok.transliteration is not None
- assert tok.abbreviations is not None
+ 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,
tok.init_new_db(test_config)
monkeypatch.undo()
- assert db_prop('DBCFG_MAXWORDFREQ') == '1133'
+ assert db_prop(legacy_icu_tokenizer.DBCFG_MAXWORDFREQ) == '1133'
table_factory('test', 'txt TEXT')
assert test_content == set((('1133', ), ))
-def test_make_standard_word(analyzer):
- with analyzer(abbr=(('STREET', 'ST'), ('tiny', 't'))) as anl:
- assert anl.make_standard_word('tiny street') == 'TINY ST'
-
- with analyzer(abbr=(('STRASSE', 'STR'), ('STR', 'ST'))) as anl:
- assert anl.make_standard_word('Hauptstrasse') == 'HAUPTST'
-
-
def test_make_standard_hnr(analyzer):
- with analyzer(abbr=(('IV', '4'),)) as anl:
+ with analyzer(abbr=('IV => 4',)) as anl:
assert anl._make_standard_hnr('345') == '345'
assert anl._make_standard_hnr('iv') == 'IV'
assert word_table.get_special() \
== {(' KÖNIG BEI', 'könig bei', 'amenity', 'royal', 'near'),
(' KÖNIGE', 'könige', 'amenity', 'royal', None),
- (' ST', 'street', 'highway', 'primary', 'in')}
+ (' STREET', 'street', 'highway', 'primary', 'in')}
def test_update_special_phrase_delete_all(analyzer, word_table):
(' GARDEN', 'garden', 'leisure', 'garden', 'near')}
-def test_process_place_names(analyzer, getorcreate_term_id):
- with analyzer() as anl:
- info = anl.process_place({'name' : {'name' : 'Soft bAr', 'ref': '34'}})
+class TestPlaceNames:
- assert info['names'] == '{1,2,3,4,5}'
+ @pytest.fixture(autouse=True)
+ def setup(self, analyzer, getorcreate_full_word):
+ with analyzer() as anl:
+ self.analyzer = anl
+ yield anl
-@pytest.mark.parametrize('sep', [',' , ';'])
-def test_full_names_with_separator(analyzer, getorcreate_term_id, sep):
- with analyzer() as anl:
- names = anl._compute_full_names({'name' : sep.join(('New York', 'Big Apple'))})
+ def expect_name_terms(self, info, *expected_terms):
+ tokens = self.analyzer.get_word_token_info(expected_terms)
+ for token in tokens:
+ assert token[2] is not None, "No token for {0}".format(token)
- assert names == set(('NEW YORK', 'BIG APPLE'))
+ assert eval(info['names']) == set((t[2] for t in tokens))
-def test_full_names_with_bracket(analyzer, getorcreate_term_id):
- with analyzer() as anl:
- names = anl._compute_full_names({'name' : 'Houseboat (left)'})
+ 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')
+
+
+ @pytest.mark.parametrize('sep', [',' , ';'])
+ def test_names_with_separator(self, sep):
+ info = self.analyzer.process_place({'name' : {'name' : sep.join(('New York', 'Big Apple'))}})
+
+ self.expect_name_terms(info, '#New York', '#Big Apple',
+ 'new', 'york', 'big', 'apple')
+
+
+ def test_full_names_with_bracket(self):
+ info = self.analyzer.process_place({'name' : {'name' : 'Houseboat (left)'}})
- assert names == set(('HOUSEBOAT (LEFT)', 'HOUSEBOAT'))
+ self.expect_name_terms(info, '#Houseboat (left)', '#Houseboat',
+ 'houseboat', 'left')
@pytest.mark.parametrize('pcode', ['12345', 'AB 123', '34-345'])
projects / nominatim.git / blobdiff