add ci-test for taginfo file generation

[nominatim.git] / nominatim / tools / tiger_data.py

diff --git a/nominatim/tools/tiger_data.py b/nominatim/tools/tiger_data.py
index fbcdb077bc12674782d6b0bc871538cad8b44e2f..70cecae58648997f0bc6a81a863fee7b420432f5 100644 (file)
--- a/nominatim/tools/tiger_data.py
+++ b/nominatim/tools/tiger_data.py
@@ -1,49 +1,106 @@
+# 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 importing tiger data and handling tarbar and directory files
 """
 """
 Functions for importing tiger data and handling tarbar and directory files
 """

+from typing import Any, TextIO, List, Union, cast
+import csv
+import io

 import logging
 import os
 import tarfile
 
 import logging
 import os
 import tarfile
 

+from psycopg2.extras import Json
+
+from nominatim.config import Configuration

 from nominatim.db.connection import connect
 from nominatim.db.async_connection import WorkerPool
 from nominatim.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.data.place_info import PlaceInfo
+from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
+from nominatim.tools import freeze

 
 LOG = logging.getLogger()
 
 
 LOG = logging.getLogger()
 

-
-def handle_tarfile_or_directory(data_dir):
-    """ Handles tarfile or directory for importing tiger data
+class TigerInput:
+    """ Context manager that goes through Tiger input files which may
+        either be in a directory or gzipped together in a tar file.

     """
 
     """
 

-    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:
-            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:
-            LOG.warning("Tiger data import selected but no files found in path %s", data_dir)
-            return None, None
-
-    return sql_files, tar
-
-
-def handle_threaded_sql_statements(pool, file):
+    def __init__(self, data_dir: str) -> None:
+        self.tar_handle = None
+        self.files: List[Union[str, tarfile.TarInfo]] = []
+
+        if data_dir.endswith('.tar.gz'):
+            try:
+                self.tar_handle = tarfile.open(data_dir) # pylint: disable=consider-using-with
+            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
+
+            self.files = [i for i in self.tar_handle.getmembers() if i.name.endswith('.csv')]
+            LOG.warning("Found %d CSV files in tarfile with path %s", len(self.files), data_dir)
+        else:
+            files = os.listdir(data_dir)
+            self.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(self.files), data_dir)
+
+        if not self.files:
+            LOG.warning("Tiger data import selected but no files found at %s", data_dir)
+
+
+    def __enter__(self) -> 'TigerInput':
+        return self
+
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        if self.tar_handle:
+            self.tar_handle.close()
+            self.tar_handle = None
+
+
+    def next_file(self) -> TextIO:
+        """ Return a file handle to the next file to be processed.
+            Raises an IndexError if there is no file left.
+        """
+        fname = self.files.pop(0)
+
+        if self.tar_handle is not None:
+            extracted = self.tar_handle.extractfile(fname)
+            assert extracted is not None
+            return io.TextIOWrapper(extracted)
+
+        return open(cast(str, fname), encoding='utf-8')
+
+
+    def __len__(self) -> int:
+        return len(self.files)
+
+
+def handle_threaded_sql_statements(pool: WorkerPool, fd: TextIO,
+                                   analyzer: AbstractAnalyzer) -> None:

     """ Handles sql statement with multiplexing
     """
     """ Handles sql statement with multiplexing
     """

-

     lines = 0
     # Using pool of database connections to execute sql statements
     lines = 0
     # Using pool of database connections to execute sql statements

-    for sql_query in file:
-        pool.next_free_worker().perform(sql_query)
+
+    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'],
+                    Json(analyzer.process_place(PlaceInfo({'address': address}))),
+                    analyzer.normalize_postcode(row['postcode']))
+        except ValueError:
+            continue
+        pool.next_free_worker().perform(sql, args=args)

 
         lines += 1
         if lines == 1000:
 
         lines += 1
         if lines == 1000:


@@ -51,36 +108,42 @@ def handle_threaded_sql_statements(pool, file):
             lines = 0
 
 
             lines = 0
 
 

-def add_tiger_data(data_dir, config, threads):
+def add_tiger_data(data_dir: str, config: Configuration, threads: int,
+                   tokenizer: AbstractTokenizer) -> int:

     """ Import tiger data from directory or tar file `data dir`.
     """
     dsn = config.get_libpq_dsn()
     """ Import tiger data from directory or tar file `data dir`.
     """
     dsn = config.get_libpq_dsn()

-    sql_files, tar = handle_tarfile_or_directory(data_dir)
-
-    if not sql_files:
-        return

 
     with connect(dsn) as conn:
 
     with connect(dsn) as conn:

-        sql = SQLPreprocessor(conn, config)
-        sql.run_sql_file(conn, 'tiger_import_start.sql')
+        is_frozen = freeze.is_frozen(conn)
+        conn.close()
+
+        if is_frozen:
+            raise UsageError("Tiger cannot be imported when database frozen (Github issue #3048)")

 
 

-    # Reading sql_files and then for each file line handling
-    # sql_query in <threads - 1> chunks.
-    place_threads = max(1, threads - 1)
+    with TigerInput(data_dir) as tar:
+        if not tar:
+            return 1

 
 

-    with WorkerPool(dsn, place_threads, ignore_sql_errors=True) as pool:
-        for sql_file in sql_files:
-            if not tar:
-                file = open(sql_file)
-            else:
-                file = tar.extractfile(sql_file)
+        with connect(dsn) as conn:
+            sql = SQLPreprocessor(conn, config)
+            sql.run_sql_file(conn, 'tiger_import_start.sql')

 
 

-            handle_threaded_sql_statements(pool, file)
+        # Reading files and then for each file line handling
+        # sql_query in <threads - 1> chunks.
+        place_threads = max(1, threads - 1)
+
+        with WorkerPool(dsn, place_threads, ignore_sql_errors=True) as pool:
+            with tokenizer.name_analyzer() as analyzer:
+                while tar:
+                    with tar.next_file() as fd:
+                        handle_threaded_sql_statements(pool, fd, analyzer)
+
+        print('\n')

 
 

-    if tar:
-        tar.close()
-    print('\n')

     LOG.warning("Creating indexes on Tiger data")
     with connect(dsn) as conn:
         sql = SQLPreprocessor(conn, config)
         sql.run_sql_file(conn, 'tiger_import_finish.sql')
     LOG.warning("Creating indexes on Tiger data")
     with connect(dsn) as conn:
         sql = SQLPreprocessor(conn, config)
         sql.run_sql_file(conn, 'tiger_import_finish.sql')

+
+    return 0