"""
Functions for importing tiger data and handling tarbar and directory files
"""
+import csv
+import io
import logging
import os
import tarfile
-import selectors
-from ..db.connection import connect
-from ..db.async_connection import DBConnection
-from ..db.sql_preprocessor import SQLPreprocessor
+import psycopg2.extras
+from nominatim.db.connection import connect
+from nominatim.db.async_connection import WorkerPool
+from nominatim.db.sql_preprocessor import SQLPreprocessor
+from nominatim.errors import UsageError
LOG = logging.getLogger()
tar = None
if data_dir.endswith('.tar.gz'):
- tar = tarfile.open(data_dir)
- sql_files = [i for i in tar.getmembers() if i.name.endswith('.sql')]
- LOG.warning("Found %d SQL files in tarfile with path %s", len(sql_files), data_dir)
- if not sql_files:
+ try:
+ tar = tarfile.open(data_dir)
+ except tarfile.ReadError as err:
+ LOG.fatal("Cannot open '%s'. Is this a tar file?", data_dir)
+ raise UsageError("Cannot open Tiger data file.") from err
+
+ csv_files = [i for i in tar.getmembers() if i.name.endswith('.csv')]
+ LOG.warning("Found %d CSV files in tarfile with path %s", len(csv_files), data_dir)
+ if not csv_files:
LOG.warning("Tiger data import selected but no files in tarfile's path %s", data_dir)
return None, None
else:
files = os.listdir(data_dir)
- sql_files = [os.path.join(data_dir, i) for i in files if i.endswith('.sql')]
- LOG.warning("Found %d SQL files in path %s", len(sql_files), data_dir)
- if not sql_files:
+ 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 sql_files, tar
+ return csv_files, tar
-def handle_threaded_sql_statements(sel, file):
+def handle_threaded_sql_statements(pool, fd, analyzer):
""" Handles sql statement with multiplexing
"""
-
lines = 0
- end_of_file = False
# Using pool of database connections to execute sql statements
- while not end_of_file:
- for key, _ in sel.select(1):
- conn = key.data
- try:
- if conn.is_done():
- sql_query = file.readline()
- lines += 1
- if not sql_query:
- end_of_file = True
- break
- conn.perform(sql_query)
- if lines == 1000:
- print('. ', end='', flush=True)
- lines = 0
- except Exception as exc: # pylint: disable=broad-except
- LOG.info('Wrong SQL statement: %s', exc)
-
-def handle_unregister_connection_pool(sel, place_threads):
- """ Handles unregistering pool of connections
- """
- while place_threads > 0:
- for key, _ in sel.select(1):
- conn = key.data
- sel.unregister(conn)
- try:
- conn.wait()
- except Exception as exc: # pylint: disable=broad-except
- LOG.info('Wrong SQL statement: %s', exc)
- conn.close()
- place_threads -= 1
-
-def add_tiger_data(dsn, data_dir, threads, config, sqllib_dir):
- """ Import tiger data from directory or tar file
- """
+ 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'],
+ psycopg2.extras.Json(analyzer.process_place(dict(address=address))),
+ analyzer.normalize_postcode(row['postcode']))
+ except ValueError:
+ continue
+ pool.next_free_worker().perform(sql, args=args)
- sql_files, tar = handle_tarfile_or_directory(data_dir)
+ lines += 1
+ if lines == 1000:
+ print('.', end='', flush=True)
+ lines = 0
- if not sql_files:
+
+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
with connect(dsn) as conn:
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.run_sql_file(conn, 'tiger_import_start.sql')
- # Reading sql_files and then for each file line handling
+ # Reading files and then for each file line handling
# sql_query in <threads - 1> chunks.
- sel = selectors.DefaultSelector()
place_threads = max(1, threads - 1)
- # Creates a pool of database connections
- for _ in range(place_threads):
- conn = DBConnection(dsn)
- conn.connect()
- sel.register(conn, selectors.EVENT_WRITE, conn)
-
- for sql_file in sql_files:
- if not tar:
- file = open(sql_file)
- else:
- file = tar.extractfile(sql_file)
+ with WorkerPool(dsn, place_threads, ignore_sql_errors=True) as pool:
+ with tokenizer.name_analyzer() as analyzer:
+ for fname in files:
+ if not tar:
+ fd = open(fname)
+ else:
+ fd = io.TextIOWrapper(tar.extractfile(fname))
- handle_threaded_sql_statements(sel, file)
+ handle_threaded_sql_statements(pool, fd, analyzer)
- # Unregistering pool of database connections
- handle_unregister_connection_pool(sel, place_threads)
+ fd.close()
if tar:
tar.close()
print('\n')
LOG.warning("Creating indexes on Tiger data")
with connect(dsn) as conn:
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.run_sql_file(conn, 'tiger_import_finish.sql')
projects / nominatim.git / blobdiff