+ csv_files = [os.path.join(data_dir, i) for i in files if i.endswith('.csv')]
+ LOG.warning("Found %d CSV files in path %s", len(csv_files), data_dir)
+ if not csv_files:
+ LOG.warning("Tiger data import selected but no files found in path %s", data_dir)
+ return None, None
+
+ return csv_files, tar
+
+
+def handle_threaded_sql_statements(pool, fd, analyzer):
+ """ Handles sql statement with multiplexing
+ """
+ lines = 0
+ # Using pool of database connections to execute sql statements
+
+ sql = "SELECT tiger_line_import(%s, %s, %s, %s, %s, %s)"
+
+ for row in csv.DictReader(fd, delimiter=';'):
+ try:
+ address = dict(street=row['street'], postcode=row['postcode'])
+ args = ('SRID=4326;' + row['geometry'],
+ int(row['from']), int(row['to']), row['interpolation'],
+ PlaceInfo({'address': address}).analyze(analyzer),
+ analyzer.normalize_postcode(row['postcode']))
+ except ValueError:
+ continue
+ pool.next_free_worker().perform(sql, args=args)
+
+ lines += 1
+ if lines == 1000:
+ print('.', end='', flush=True)
+ lines = 0
+
+
+def add_tiger_data(data_dir, config, threads, tokenizer):
+ """ Import tiger data from directory or tar file `data dir`.
+ """
+ dsn = config.get_libpq_dsn()
+ files, tar = handle_tarfile_or_directory(data_dir)
+
+ if not files:
+ return
+