- 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']
+ """ Check contents of place/placex tables. 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 the 'object' column which must
+ have an identifier of the form '<NRW><osm id>[:<class>]'. All
+ expected rows are expected to be present with at least one database row.
+ """
+ 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(context.db, items)