+# 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.
"""
-Functions for setting up and importing a new Nominatim database.
+Functions for importing tiger data and handling tarbar and directory files
"""
+import csv
+import io
import logging
import os
-import time
import tarfile
-import selectors
-from ..db.connection import connect
-from ..db.async_connection import DBConnection
-from ..db.sql_preprocessor import SQLPreprocessor
+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
+from nominatim.indexer.place_info import PlaceInfo
LOG = logging.getLogger()
-def add_tiger_data(dsn, data_dir, threads, config, sqllib_dir):
- """ Import tiger data from directory or tar file
+def handle_tarfile_or_directory(data_dir):
+ """ Handles tarfile or directory for importing tiger data
"""
- # Handling directory or tarball file.
- is_tarfile = False
- if(data_dir.endswith('.tar.gz')):
- is_tarfile = True
- tar = tarfile.open(data_dir)
- sql_files = [i for i in tar.getmembers() if i.name.endswith('.sql')]
- LOG.warning(f'Found {len(sql_files)} SQL files in tarfile with path {data_dir}')
- if(not len(sql_files)):
- LOG.warning(f'Tiger data import selected but no files found in tarfile with path {data_dir}')
- return
+
+ tar = None
+ if data_dir.endswith('.tar.gz'):
+ 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 = [i for i in files if i.endswith('.sql')]
- LOG.warning(f'Found {len(sql_files)} SQL files in path {data_dir}')
- if(not len(sql_files)):
- LOG.warning(f'Tiger data import selected but no files found in path {data_dir}')
- return
-
+ 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
+
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)
- for sql_file in sql_files:
- if(not is_tarfile):
- file_path = os.path.join(data_dir, sql_file)
- file = open(file_path)
- else:
- file = tar.extractfile(sql_file)
- lines = 0
- end_of_file = False
- total_used_threads = place_threads
- while(True):
- if(end_of_file):
- break
- for imod in range(place_threads):
- conn = DBConnection(dsn)
- conn.connect()
-
- sql_query = file.readline()
- lines+=1
-
- if(not sql_query):
- end_of_file = True
- total_used_threads = imod
- break
-
- conn.perform(sql_query)
- sel.register(conn, selectors.EVENT_READ, conn)
-
- if(lines==1000):
- print('. ', end='', flush=True)
- lines=0
-
- todo = min(place_threads,total_used_threads)
- while todo > 0:
- for key, _ in sel.select(1):
- try:
- conn = key.data
- sel.unregister(conn)
- conn.wait()
- conn.close()
- todo -= 1
- except:
- todo -=1
-
- if(is_tarfile):
+
+ 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(pool, fd, analyzer)
+
+ 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')
-
\ No newline at end of file
projects / nominatim.git / blobdiff