use tokenizer during Tiger data import

This also changes the required import format to CSV.

.pylintrc

@@ -12,4 +12,4 @@ ignored-modules=icu
 ignored-classes=NominatimArgs,closing
 disable=too-few-public-methods,duplicate-code
 
-good-names=i,x,y
+good-names=i,x,y,fd

lib-sql/tiger_import_finish.sql

@@ -12,4 +12,6 @@ ALTER TABLE location_property_tiger_import RENAME TO location_property_tiger;
 ALTER INDEX IF EXISTS idx_location_property_tiger_parent_place_id_imp RENAME TO idx_location_property_tiger_housenumber_parent_place_id;
 ALTER INDEX IF EXISTS idx_location_property_tiger_place_id_imp RENAME TO idx_location_property_tiger_place_id;
 
-DROP FUNCTION tiger_line_import (linegeo geometry, in_startnumber integer, in_endnumber integer, interpolationtype text, in_street text, in_isin text, in_postcode text);
+DROP FUNCTION tiger_line_import (linegeo GEOMETRY, in_startnumber INTEGER,
+                                 in_endnumber INTEGER, interpolationtype TEXT,
+                                 token_info JSONB, in_postcode TEXT);

lib-sql/tiger_import_start.sql

@@ -1,9 +1,9 @@
 DROP TABLE IF EXISTS location_property_tiger_import;
 CREATE TABLE location_property_tiger_import (linegeo GEOMETRY, place_id BIGINT, partition INTEGER, parent_place_id BIGINT, startnumber INTEGER, endnumber INTEGER, interpolationtype TEXT, postcode TEXT);
 
-CREATE OR REPLACE FUNCTION tiger_line_import(linegeo GEOMETRY, in_startnumber INTEGER, 
+CREATE OR REPLACE FUNCTION tiger_line_import(linegeo GEOMETRY, in_startnumber INTEGER,
-  in_endnumber INTEGER, interpolationtype TEXT,
+                                             in_endnumber INTEGER, interpolationtype TEXT,
-  in_street TEXT, in_isin TEXT, in_postcode TEXT) RETURNS INTEGER
+                                             token_info JSONB, in_postcode TEXT) RETURNS INTEGER
   AS $$
 DECLARE
   startnumber INTEGER;
@@ -27,13 +27,13 @@ BEGIN
   END IF;
 
   IF startnumber < 0 THEN
-    RAISE WARNING 'Negative house number range (% to %) on %, %', startnumber, endnumber, in_street, in_isin;
+    RAISE WARNING 'Negative house number range (% to %)', startnumber, endnumber;
     RETURN 0;
   END IF;
 
   numberrange := endnumber - startnumber;
 
-  IF (interpolationtype = 'odd' AND startnumber%2 = 0) OR (interpolationtype = 'even' AND startnumber%2 = 1) THEN
+  IF (interpolationtype = 'odd' AND startnumber % 2 = 0) OR (interpolationtype = 'even' AND startnumber % 2 = 1) THEN
     startnumber := startnumber + 1;
     stepsize := 2;
   ELSE
@@ -45,10 +45,10 @@ BEGIN
   END IF;
 
   -- Filter out really broken tiger data
-  IF numberrange > 0 AND (numberrange::float/stepsize::float > 500) 
+  IF numberrange > 0 AND (numberrange::float/stepsize::float > 500)
                     AND ST_length(linegeo)/(numberrange::float/stepsize::float) < 0.000001 THEN
-    RAISE WARNING 'Road too short for number range % to % on %, % (%)',startnumber,endnumber,in_street,in_isin,
+    RAISE WARNING 'Road too short for number range % to % (%)',startnumber,endnumber,
-                  ST_length(linegeo)/(numberrange::float/stepsize::float);    
+                  ST_length(linegeo)/(numberrange::float/stepsize::float);
     RETURN 0;
   END IF;
 
@@ -56,7 +56,7 @@ BEGIN
   out_partition := get_partition('us');
   out_parent_place_id := null;
 
-  address_street_word_ids := word_ids_from_name(in_street);
+  address_street_word_ids := token_addr_street_match_tokens(token_info);
   IF address_street_word_ids IS NOT NULL THEN
     out_parent_place_id := getNearestNamedRoadPlaceId(out_partition, place_centroid,
                                                       address_street_word_ids);

nominatim/cli.py

@@ -13,7 +13,6 @@ from nominatim.tools.exec_utils import run_legacy_script, run_php_server
 from nominatim.errors import UsageError
 from nominatim import clicmd
 from nominatim.clicmd.args import NominatimArgs
-from nominatim.tools import tiger_data
 
 LOG = logging.getLogger()
 
@@ -147,9 +146,14 @@ class UpdateAddData:
 
     @staticmethod
     def run(args):
+        from nominatim.tokenizer import factory as tokenizer_factory
+        from nominatim.tools import tiger_data
+
         if args.tiger_data:
+            tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
             return tiger_data.add_tiger_data(args.tiger_data,
-                                             args.config, args.threads or 1)
+                                             args.config, args.threads or 1,
+                                             tokenizer)
 
         params = ['update.php']
         if args.file:

nominatim/tools/tiger_data.py

@@ -1,10 +1,14 @@
 """
 Functions for importing tiger data and handling tarbar and directory files
 """
+import csv
+import io
 import logging
 import os
 import tarfile
 
+import psycopg2.extras
+
 from nominatim.db.connection import connect
 from nominatim.db.async_connection import WorkerPool
 from nominatim.db.sql_preprocessor import SQLPreprocessor
@@ -20,30 +24,40 @@ def handle_tarfile_or_directory(data_dir):
     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')]
+        csv_files = [i for i in tar.getmembers() if i.name.endswith('.csv')]
-        LOG.warning("Found %d SQL files in tarfile with path %s", len(sql_files), data_dir)
+        LOG.warning("Found %d CSV files in tarfile with path %s", len(csv_files), data_dir)
-        if not sql_files:
+        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')]
+        csv_files = [os.path.join(data_dir, i) for i in files if i.endswith('.csv')]
-        LOG.warning("Found %d SQL files in path %s", len(sql_files), data_dir)
+        LOG.warning("Found %d CSV files in path %s", len(csv_files), data_dir)
-        if not sql_files:
+        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(pool, file):
+def handle_threaded_sql_statements(pool, fd, analyzer):
     """ Handles sql statement with multiplexing
     """
-
     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'],
+                    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)
 
         lines += 1
         if lines == 1000:
@@ -51,31 +65,34 @@ def handle_threaded_sql_statements(pool, file):
             lines = 0
 
 
-def add_tiger_data(data_dir, config, threads):
+def add_tiger_data(data_dir, config, threads, tokenizer):
     """ Import tiger data from directory or tar file `data dir`.
     """
     dsn = config.get_libpq_dsn()
-    sql_files, tar = handle_tarfile_or_directory(data_dir)
+    files, tar = handle_tarfile_or_directory(data_dir)
 
-    if not sql_files:
+    if not files:
         return
 
     with connect(dsn) as conn:
         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.
     place_threads = max(1, threads - 1)
 
     with WorkerPool(dsn, place_threads, ignore_sql_errors=True) as pool:
-        for sql_file in sql_files:
+        with tokenizer.name_analyzer() as analyzer:
-            if not tar:
+            for fname in files:
-                file = open(sql_file)
+                if not tar:
-            else:
+                    fd = open(fname)
-                file = tar.extractfile(sql_file)
+                else:
+                    fd = io.TextIOWrapper(tar.extractfile(fname))
 
-            handle_threaded_sql_statements(pool, file)
+                handle_threaded_sql_statements(pool, fd, analyzer)
+
+                fd.close()
 
     if tar:
         tar.close()