X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/9397bf54b89c1ae0b41115673d2f38582cd03ed9..674185a0651a4f6719e7fe71e00cca147783a1f4:/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 dea09833..44c82b01 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 @@ -87,32 +93,17 @@ 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(), 1).index_full(analyse=False) + context.nominatim.run_nominatim('import', '--continue', 'load-data', + '--index-noanalyse', '-q', + '--offline') check_database_integrity(context) + # Remove the output of the input, when all was right. Otherwise it will be + # output when there are errors that had nothing to do with the import + # itself. + context.log_capture.buffer.clear() + @when("updating places") def update_place_table(context): """ Update the place table with the given data. Also runs all triggers @@ -126,6 +117,12 @@ def update_place_table(context): context.nominatim.reindex_placex(context.db) check_database_integrity(context) + # Remove the output of the input, when all was right. Otherwise it will be + # output when there are errors that had nothing to do with the import + # itself. + context.log_capture.buffer.clear() + + @when("updating postcodes") def update_postcodes(context): """ Rerun the calculation of postcodes. @@ -145,6 +142,11 @@ def delete_places(context, oids): context.nominatim.reindex_placex(context.db) + # Remove the output of the input, when all was right. Otherwise it will be + # output when there are errors that had nothing to do with the import + # itself. + context.log_capture.buffer.clear() + ################################ THEN ################################## @then("(?Pplacex|place) contains(?P exactly)?") @@ -199,44 +201,35 @@ def check_search_name_contents(context, exclude): have an identifier of the form '[:]'. All expected rows are expected to be present with at least one database row. """ - with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur: - for row in context.table: - nid = NominatimID(row['object']) - nid.row_by_place_id(cur, 'search_name', - ['ST_X(centroid) as cx', 'ST_Y(centroid) as cy']) - assert cur.rowcount > 0, "No rows found for " + row['object'] + tokenizer = tokenizer_factory.get_tokenizer_for_db(context.nominatim.get_test_config()) + + with tokenizer.name_analyzer() as analyzer: + with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur: + for row in context.table: + nid = NominatimID(row['object']) + nid.row_by_place_id(cur, 'search_name', + ['ST_X(centroid) as cx', 'ST_Y(centroid) as cy']) + assert cur.rowcount > 0, "No rows found for " + row['object'] + + for res in cur: + db_row = DBRow(nid, res, context) + 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(items) - for res in cur: - db_row = DBRow(nid, res, context) - for name, value in zip(row.headings, row.cells): - if name in ('name_vector', 'nameaddress_vector'): - items = [x.strip() for x in value.split(',')] - with context.db.cursor() as subcur: - subcur.execute(""" SELECT word_id, word_token - FROM word, (SELECT unnest(%s::TEXT[]) as term) t - WHERE word_token = make_standard_name(t.term) - and class is null and country_code is null - and operator is null - UNION - SELECT word_id, word_token - FROM word, (SELECT unnest(%s::TEXT[]) as term) t - WHERE word_token = ' ' || make_standard_name(t.term) - and class is null and country_code is null - and operator is null - """, - (list(filter(lambda x: not x.startswith('#'), items)), - list(filter(lambda x: x.startswith('#'), items)))) if not exclude: - assert subcur.rowcount >= len(items), \ - "No word entry found for {}. Entries found: {!s}".format(value, subcur.rowcount) - for wid in subcur: - present = wid[0] in res[name] + assert len(tokens) >= len(items), \ + "No word entry found for {}. Entries found: {!s}".format(value, len(tokens)) + for word, token, wid in tokens: if exclude: - assert not present, "Found term for {}/{}: {}".format(row['object'], name, wid[1]) + assert wid not in res[name], \ + "Found term for {}/{}: {}".format(nid, name, wid) else: - assert present, "Missing term for {}/{}: {}".fromat(row['object'], name, wid[1]) - elif name != 'object': - assert db_row.contains(name, value), db_row.assert_msg(name, value) + assert wid in res[name], \ + "Missing term for {}/{}: {}".format(nid, name, wid) + elif name != 'object': + assert db_row.contains(name, value), db_row.assert_msg(name, value) @then("search_name has no entry for (?P.*)") def check_search_name_has_entry(context, oid): @@ -260,7 +253,7 @@ def check_location_postcode(context): with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur: cur.execute("SELECT *, ST_AsText(geometry) as geomtxt FROM location_postcode") assert cur.rowcount == len(list(context.table)), \ - "Postcode table has {} rows, expected {}.".foramt(cur.rowcount, len(list(context.table))) + "Postcode table has {} rows, expected {}.".format(cur.rowcount, len(list(context.table))) results = {} for row in cur: @@ -271,24 +264,40 @@ 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 != 'legacy': + 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): @@ -320,12 +329,13 @@ 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):