X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/1ccd4360b4c4c9a861aea022cec084a9eddad283..691ec0858601f91adb942d2cb5d3a9b844005780:/test/bdd/steps/steps_db_ops.py diff --git a/test/bdd/steps/steps_db_ops.py b/test/bdd/steps/steps_db_ops.py index 8285f938..8df5d617 100644 --- a/test/bdd/steps/steps_db_ops.py +++ b/test/bdd/steps/steps_db_ops.py @@ -1,3 +1,9 @@ +# SPDX-License-Identifier: GPL-2.0-only +# +# This file is part of Nominatim. (https://nominatim.org) +# +# Copyright (C) 2022 by the Nominatim developer community. +# For a full list of authors see the git log. import logging from itertools import chain @@ -87,29 +93,8 @@ def add_data_to_planet_ways(context): def import_and_index_data_from_place_table(context): """ Import data previously set up in the place table. """ - nctx = context.nominatim - - tokenizer = tokenizer_factory.create_tokenizer(nctx.get_test_config()) - context.nominatim.copy_from_place(context.db) - - # XXX use tool function as soon as it is ported - with context.db.cursor() as cur: - with (context.nominatim.src_dir / 'lib-sql' / 'postcode_tables.sql').open('r') as fd: - cur.execute(fd.read()) - cur.execute(""" - INSERT INTO location_postcode - (place_id, indexed_status, country_code, postcode, geometry) - SELECT nextval('seq_place'), 1, country_code, - upper(trim (both ' ' from address->'postcode')) as pc, - ST_Centroid(ST_Collect(ST_Centroid(geometry))) - FROM placex - WHERE address ? 'postcode' AND address->'postcode' NOT SIMILAR TO '%(,|;)%' - AND geometry IS NOT null - GROUP BY country_code, pc""") - - # Call directly as the refresh function does not include postcodes. - indexer.LOG.setLevel(logging.ERROR) - indexer.Indexer(context.nominatim.get_libpq_dsn(), tokenizer, 1).index_full(analyse=False) + context.nominatim.run_nominatim('import', '--continue', 'load-data', + '--index-noanalyse', '-q') check_database_integrity(context) @@ -214,7 +199,7 @@ def check_search_name_contents(context, exclude): for name, value in zip(row.headings, row.cells): if name in ('name_vector', 'nameaddress_vector'): items = [x.strip() for x in value.split(',')] - tokens = analyzer.get_word_token_info(context.db, items) + tokens = analyzer.get_word_token_info(items) if not exclude: assert len(tokens) >= len(items), \ @@ -262,24 +247,40 @@ def check_location_postcode(context): for row in context.table: db_row = results.get((row['country'],row['postcode'])) assert db_row is not None, \ - "Missing row for country '{r['country']}' postcode '{r['postcode']}'.".format(r=row) + f"Missing row for country '{row['country']}' postcode '{row['postcode']}'." db_row.assert_row(row, ('country', 'postcode')) -@then("word contains(?P not)?") -def check_word_table(context, exclude): - """ Check the contents of the word table. Each row represents a table row - and all data must match. Data not present in the expected table, may - be arbitry. The rows are identified via all given columns. +@then("there are(?P no)? word tokens for postcodes (?P.*)") +def check_word_table_for_postcodes(context, exclude, postcodes): + """ Check that the tokenizer produces postcode tokens for the given + postcodes. The postcodes are a comma-separated list of postcodes. + Whitespace matters. """ + nctx = context.nominatim + tokenizer = tokenizer_factory.get_tokenizer_for_db(nctx.get_test_config()) + with tokenizer.name_analyzer() as ana: + plist = [ana.normalize_postcode(p) for p in postcodes.split(',')] + + plist.sort() + with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur: - for row in context.table: - wheres = ' AND '.join(["{} = %s".format(h) for h in row.headings]) - cur.execute("SELECT * from word WHERE " + wheres, list(row.cells)) - if exclude: - assert cur.rowcount == 0, "Row still in word table: %s" % '/'.join(values) - else: - assert cur.rowcount > 0, "Row not in word table: %s" % '/'.join(values) + if nctx.tokenizer == 'icu': + cur.execute("SELECT word FROM word WHERE type = 'P' and word = any(%s)", + (plist,)) + else: + cur.execute("""SELECT word FROM word WHERE word = any(%s) + and class = 'place' and type = 'postcode'""", + (plist,)) + + found = [row[0] for row in cur] + assert len(found) == len(set(found)), f"Duplicate rows for postcodes: {found}" + + if exclude: + assert len(found) == 0, f"Unexpected postcodes: {found}" + else: + assert set(found) == set(plist), \ + f"Missing postcodes {set(plist) - set(found)}. Found: {found}" @then("place_addressline contains") def check_place_addressline(context): @@ -311,12 +312,13 @@ def check_place_addressline_exclude(context): with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur: for row in context.table: pid = NominatimID(row['object']).get_place_id(cur) - apid = NominatimID(row['address']).get_place_id(cur) - cur.execute(""" SELECT * FROM place_addressline - WHERE place_id = %s AND address_place_id = %s""", - (pid, apid)) - assert cur.rowcount == 0, \ - "Row found for place %s and address %s" % (row['object'], row['address']) + apid = NominatimID(row['address']).get_place_id(cur, allow_empty=True) + if apid is not None: + cur.execute(""" SELECT * FROM place_addressline + WHERE place_id = %s AND address_place_id = %s""", + (pid, apid)) + assert cur.rowcount == 0, \ + "Row found for place %s and address %s" % (row['object'], row['address']) @then("W(?P\d+) expands to(?P no)? interpolation") def check_location_property_osmline(context, oid, neg):