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https://github.com/osm-search/Nominatim.git
synced 2024-11-22 21:28:10 +03:00
enable BDD tests for different tokenizers
The tokenizer to be used can be choosen with -DTOKENIZER. Adapt all tests, so that they work with legacy_icu tokenizer. Move lookup in word table to a function in the tokenizer. Special phrases are temporarily imported from the wiki until we have an implementation that can import from file. TIGER tests do not work yet.
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@ -35,7 +35,7 @@ def create(dsn, data_dir):
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class LegacyICUTokenizer:
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""" This tokenizer uses libICU to covert names and queries to ASCII.
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Otherwise it uses the same algorithms and data structures as the
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normalization routines in Nominatm 3.
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normalization routines in Nominatim 3.
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"""
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def __init__(self, dsn, data_dir):
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@ -228,6 +228,35 @@ class LegacyICUNameAnalyzer:
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self.conn = None
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def get_word_token_info(self, conn, words):
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""" Return token information for the given list of words.
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If a word starts with # it is assumed to be a full name
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otherwise is a partial name.
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The function returns a list of tuples with
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(original word, word token, word id).
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The function is used for testing and debugging only
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and not necessarily efficient.
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"""
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tokens = {}
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for word in words:
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if word.startswith('#'):
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tokens[word] = ' ' + self.make_standard_word(word[1:])
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else:
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tokens[word] = self.make_standard_word(word)
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with conn.cursor() as cur:
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cur.execute("""SELECT word_token, word_id
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FROM word, (SELECT unnest(%s::TEXT[]) as term) t
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WHERE word_token = t.term
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and class is null and country_code is null""",
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(list(tokens.values()), ))
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ids = {r[0]: r[1] for r in cur}
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return [(k, v, ids[v]) for k, v in tokens.items()]
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def normalize(self, phrase):
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""" Normalize the given phrase, i.e. remove all properties that
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are irrelevant for search.
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@ -236,7 +265,7 @@ class LegacyICUNameAnalyzer:
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@functools.lru_cache(maxsize=1024)
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def make_standard_word(self, name):
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""" Create the normalised version of the name.
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""" Create the normalised version of the input.
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"""
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norm = ' ' + self.transliterator.transliterate(name) + ' '
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for full, abbr in self.abbreviations:
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@ -333,24 +362,25 @@ class LegacyICUNameAnalyzer:
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"""
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full_names = set((self.make_standard_word(n) for n in names))
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full_names.discard('')
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self._add_normalised_country_names(country_code, full_names)
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self._add_normalized_country_names(country_code, full_names)
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def _add_normalised_country_names(self, country_code, names):
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def _add_normalized_country_names(self, country_code, names):
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""" Add names for the given country to the search index.
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"""
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word_tokens = set((' ' + name for name in names))
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with self.conn.cursor() as cur:
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# Get existing names
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cur.execute("SELECT word_token FROM word WHERE country_code = %s",
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(country_code, ))
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new_names = names.difference((t[0] for t in cur))
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word_tokens.difference_update((t[0] for t in cur))
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if new_names:
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if word_tokens:
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cur.execute("""INSERT INTO word (word_id, word_token, country_code,
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search_name_count)
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(SELECT nextval('seq_word'), token, '{}', 0
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FROM unnest(%s) as token)
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""".format(country_code), (list(new_names),))
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""".format(country_code), (list(word_tokens),))
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def process_place(self, place):
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@ -371,7 +401,7 @@ class LegacyICUNameAnalyzer:
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country_feature = place.get('country_feature')
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if country_feature and re.fullmatch(r'[A-Za-z][A-Za-z]', country_feature):
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self._add_normalised_country_names(country_feature.lower(),
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self._add_normalized_country_names(country_feature.lower(),
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full_names)
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address = place.get('address')
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@ -271,6 +271,33 @@ class LegacyNameAnalyzer:
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self.conn = None
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@staticmethod
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def get_word_token_info(conn, words):
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""" Return token information for the given list of words.
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If a word starts with # it is assumed to be a full name
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otherwise is a partial name.
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The function returns a list of tuples with
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(original word, word token, word id).
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The function is used for testing and debugging only
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and not necessarily efficient.
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"""
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with conn.cursor() as cur:
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cur.execute("""SELECT t.term, word_token, word_id
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FROM word, (SELECT unnest(%s::TEXT[]) as term) t
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WHERE word_token = (CASE
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WHEN left(t.term, 1) = '#' THEN
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' ' || make_standard_name(substring(t.term from 2))
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ELSE
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make_standard_name(t.term)
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END)
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and class is null and country_code is null""",
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(words, ))
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return [(r[0], r[1], r[2]) for r in cur]
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def normalize(self, phrase):
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""" Normalize the given phrase, i.e. remove all properties that
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are irrelevant for search.
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@ -163,7 +163,7 @@ Feature: Search queries
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Then exactly 0 results are returned
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Scenario: Ignore country searches when query is restricted to countries
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When sending json search query "de"
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When sending json search query "fr"
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| countrycodes |
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| li |
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Then exactly 0 results are returned
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@ -55,6 +55,4 @@ Feature: Import and search of names
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| Вологда |
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| Αθήνα |
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| القاهرة |
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| រាជធានីភ្នំពេញ |
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| 東京都 |
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| ပုဗ္ဗသီရိ |
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@ -20,6 +20,7 @@ userconfig = {
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'API_TEST_DB' : 'test_api_nominatim',
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'API_TEST_FILE' : (TEST_BASE_DIR / 'testdb' / 'apidb-test-data.pbf').resolve(),
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'SERVER_MODULE_PATH' : None,
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'TOKENIZER' : None, # Test with a custom tokenizer
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'PHPCOV' : False, # set to output directory to enable code coverage
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}
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@ -28,6 +28,7 @@ class NominatimEnvironment:
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self.test_db = config['TEST_DB']
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self.api_test_db = config['API_TEST_DB']
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self.api_test_file = config['API_TEST_FILE']
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self.tokenizer = config['TOKENIZER']
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self.server_module_path = config['SERVER_MODULE_PATH']
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self.reuse_template = not config['REMOVE_TEMPLATE']
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self.keep_scenario_db = config['KEEP_TEST_DB']
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@ -96,6 +97,8 @@ class NominatimEnvironment:
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self.test_env['NOMINATIM_DATABASE_MODULE_SRC_PATH'] = str((self.build_dir / 'module').resolve())
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self.test_env['NOMINATIM_OSM2PGSQL_BINARY'] = str((self.build_dir / 'osm2pgsql' / 'osm2pgsql').resolve())
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self.test_env['NOMINATIM_NOMINATIM_TOOL'] = str((self.build_dir / 'nominatim').resolve())
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if self.tokenizer is not None:
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self.test_env['NOMINATIM_TOKENIZER'] = self.tokenizer
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if self.server_module_path:
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self.test_env['NOMINATIM_DATABASE_MODULE_PATH'] = self.server_module_path
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@ -189,11 +192,19 @@ class NominatimEnvironment:
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try:
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self.run_nominatim('import', '--osm-file', str(self.api_test_file))
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self.run_nominatim('add-data', '--tiger-data', str((testdata / 'tiger').resolve()))
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if self.tokenizer != 'legacy_icu':
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self.run_nominatim('add-data', '--tiger-data', str((testdata / 'tiger').resolve()))
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self.run_nominatim('freeze')
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phrase_file = str((testdata / 'specialphrases_testdb.sql').resolve())
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run_script(['psql', '-d', self.api_test_db, '-f', phrase_file])
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if self.tokenizer != 'legacy_icu':
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phrase_file = str((testdata / 'specialphrases_testdb.sql').resolve())
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run_script(['psql', '-d', self.api_test_db, '-f', phrase_file])
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else:
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# XXX Temporary use the wiki while there is no CSV import
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# available.
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self.test_env['NOMINATIM_LANGUAGES'] = 'en'
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self.run_nominatim('special-phrases', '--import-from-wiki')
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del self.test_env['NOMINATIM_LANGUAGES']
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except:
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self.db_drop_database(self.api_test_db)
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raise
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@ -199,44 +199,35 @@ def check_search_name_contents(context, exclude):
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have an identifier of the form '<NRW><osm id>[:<class>]'. All
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expected rows are expected to be present with at least one database row.
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"""
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with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
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for row in context.table:
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nid = NominatimID(row['object'])
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nid.row_by_place_id(cur, 'search_name',
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['ST_X(centroid) as cx', 'ST_Y(centroid) as cy'])
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assert cur.rowcount > 0, "No rows found for " + row['object']
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tokenizer = tokenizer_factory.get_tokenizer_for_db(context.nominatim.get_test_config())
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with tokenizer.name_analyzer() as analyzer:
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with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
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for row in context.table:
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nid = NominatimID(row['object'])
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nid.row_by_place_id(cur, 'search_name',
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['ST_X(centroid) as cx', 'ST_Y(centroid) as cy'])
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assert cur.rowcount > 0, "No rows found for " + row['object']
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for res in cur:
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db_row = DBRow(nid, res, context)
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for name, value in zip(row.headings, row.cells):
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if name in ('name_vector', 'nameaddress_vector'):
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items = [x.strip() for x in value.split(',')]
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tokens = analyzer.get_word_token_info(context.db, items)
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for res in cur:
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db_row = DBRow(nid, res, context)
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for name, value in zip(row.headings, row.cells):
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if name in ('name_vector', 'nameaddress_vector'):
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items = [x.strip() for x in value.split(',')]
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with context.db.cursor() as subcur:
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subcur.execute(""" SELECT word_id, word_token
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FROM word, (SELECT unnest(%s::TEXT[]) as term) t
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WHERE word_token = make_standard_name(t.term)
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and class is null and country_code is null
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and operator is null
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UNION
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SELECT word_id, word_token
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FROM word, (SELECT unnest(%s::TEXT[]) as term) t
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WHERE word_token = ' ' || make_standard_name(t.term)
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and class is null and country_code is null
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and operator is null
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""",
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(list(filter(lambda x: not x.startswith('#'), items)),
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list(filter(lambda x: x.startswith('#'), items))))
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if not exclude:
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assert subcur.rowcount >= len(items), \
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"No word entry found for {}. Entries found: {!s}".format(value, subcur.rowcount)
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for wid in subcur:
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present = wid[0] in res[name]
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assert len(tokens) >= len(items), \
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"No word entry found for {}. Entries found: {!s}".format(value, len(tokens))
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for word, token, wid in tokens:
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if exclude:
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assert not present, "Found term for {}/{}: {}".format(row['object'], name, wid[1])
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assert wid not in res[name], \
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"Found term for {}/{}: {}".format(nid, name, wid)
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else:
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assert present, "Missing term for {}/{}: {}".format(row['object'], name, wid[1])
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elif name != 'object':
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assert db_row.contains(name, value), db_row.assert_msg(name, value)
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assert wid in res[name], \
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"Missing term for {}/{}: {}".format(nid, name, wid)
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elif name != 'object':
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assert db_row.contains(name, value), db_row.assert_msg(name, value)
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@then("search_name has no entry for (?P<oid>.*)")
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def check_search_name_has_entry(context, oid):
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