X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/18b16e06ca9e89136cb8445b00d7471840fd22e2..2ca83efc36a96cfa070be61c7422d255044130f3:/nominatim/tokenizer/legacy_tokenizer.py?ds=inline

diff --git a/nominatim/tokenizer/legacy_tokenizer.py b/nominatim/tokenizer/legacy_tokenizer.py
index 848d6191..a50dedb2 100644
--- a/nominatim/tokenizer/legacy_tokenizer.py
+++ b/nominatim/tokenizer/legacy_tokenizer.py
@@ -7,7 +7,8 @@
 """
 Tokenizer implementing normalisation as used before Nominatim 4.
 """
-from typing import Optional, Sequence, List, Tuple, Mapping, Any, Callable, cast, Dict, Set
+from typing import Optional, Sequence, List, Tuple, Mapping, Any, Callable, \
+                   cast, Dict, Set, Iterable
 from collections import OrderedDict
 import logging
 from pathlib import Path
@@ -105,6 +106,7 @@ class LegacyTokenizer(AbstractTokenizer):
             This copies all necessary data in the project directory to make
             sure the tokenizer remains stable even over updates.
         """
+        assert config.project_dir is not None
         module_dir = _install_module(config.DATABASE_MODULE_PATH,
                                      config.lib_dir.module,
                                      config.project_dir / 'module')
@@ -126,6 +128,8 @@ class LegacyTokenizer(AbstractTokenizer):
     def init_from_project(self, config: Configuration) -> None:
         """ Initialise the tokenizer from the project directory.
         """
+        assert config.project_dir is not None
+
         with connect(self.dsn) as conn:
             self.normalization = properties.get_property(conn, DBCFG_NORMALIZATION)
 
@@ -148,6 +152,8 @@ class LegacyTokenizer(AbstractTokenizer):
     def update_sql_functions(self, config: Configuration) -> None:
         """ Reimport the SQL functions for this tokenizer.
         """
+        assert config.project_dir is not None
+
         with connect(self.dsn) as conn:
             max_word_freq = properties.get_property(conn, DBCFG_MAXWORDFREQ)
             modulepath = config.DATABASE_MODULE_PATH or \
@@ -192,6 +198,8 @@ class LegacyTokenizer(AbstractTokenizer):
             This is a special migration function for updating existing databases
             to new software versions.
         """
+        assert config.project_dir is not None
+
         self.normalization = config.TERM_NORMALIZATION
         module_dir = _install_module(config.DATABASE_MODULE_PATH,
                                      config.lib_dir.module,
@@ -392,7 +400,7 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
 
 
 
-    def update_special_phrases(self, phrases: Sequence[Tuple[str, str, str, str]],
+    def update_special_phrases(self, phrases: Iterable[Tuple[str, str, str, str]],
                                should_replace: bool) -> None:
         """ Replace the search index for special phrases with the new phrases.
         """
@@ -543,8 +551,9 @@ class _TokenInfo:
 
         with conn.cursor() as cur:
             cur.execute("SELECT * FROM create_housenumbers(%s)", (simple_list, ))
-            self.data['hnr_tokens'], self.data['hnr'] = \
-                cur.fetchone() # type: ignore[no-untyped-call]
+            result = cur.fetchone()
+            assert result is not None
+            self.data['hnr_tokens'], self.data['hnr'] = result
 
 
     def set_postcode(self, postcode: str) -> None:
@@ -573,8 +582,7 @@ class _TokenInfo:
                 cur.execute("""SELECT make_keywords(hstore('name' , %s))::text,
                                       word_ids_from_name(%s)::text""",
                             (name, name))
-                return cast(Tuple[List[int], List[int]],
-                            cur.fetchone()) # type: ignore[no-untyped-call]
+                return cast(Tuple[List[int], List[int]], cur.fetchone())
 
         self.data['place_search'], self.data['place_match'] = \
             self.cache.places.get(place, _get_place)
@@ -588,8 +596,7 @@ class _TokenInfo:
                 cur.execute("""SELECT addr_ids_from_name(%s)::text,
                                       word_ids_from_name(%s)::text""",
                             (name, name))
-                return cast(Tuple[List[int], List[int]],
-                            cur.fetchone()) # type: ignore[no-untyped-call]
+                return cast(Tuple[List[int], List[int]], cur.fetchone())
 
         tokens = {}
         for key, value in terms: