]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/clicmd/admin.py
minimum counts for tokens should always be 1
[nominatim.git] / nominatim / clicmd / admin.py
index a84b0db2157a3daf3062da9430b0fbbbff9ea08d..9557dc988c94712f446f8c21c8f167d69639747f 100644 (file)
@@ -41,6 +41,8 @@ class AdminFuncs:
                           help='Print performance analysis of the indexing process')
         objs.add_argument('--collect-os-info', action="store_true",
                           help="Generate a report about the host system information")
+        objs.add_argument('--clean-deleted', action='store', metavar='AGE',
+                          help='Clean up deleted relations')
         group = parser.add_argument_group('Arguments for cache warming')
         group.add_argument('--search-only', action='store_const', dest='target',
                            const='search',
@@ -55,7 +57,9 @@ class AdminFuncs:
         mgroup.add_argument('--place-id', type=int,
                             help='Analyse indexing of the given Nominatim object')
 
+
     def run(self, args: NominatimArgs) -> int:
+        # pylint: disable=too-many-return-statements
         if args.warm:
             return self._warm(args)
 
@@ -81,6 +85,12 @@ class AdminFuncs:
             collect_os_info.report_system_information(args.config)
             return 0
 
+        if args.clean_deleted:
+            LOG.warning('Cleaning up deleted relations')
+            from ..tools import admin
+            admin.clean_deleted_relations(args.config, age=args.clean_deleted)
+            return 0
+
         return 1
 
 
@@ -89,19 +99,25 @@ class AdminFuncs:
 
         api = napi.NominatimAPI(args.project_dir)
 
-        if args.target != 'reverse':
-            for _ in range(1000):
-                api.reverse((random.uniform(-90, 90), random.uniform(-180, 180)),
-                            address_details=True)
-
-        if args.target != 'search':
-            from ..tokenizer import factory as tokenizer_factory
-
-            tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
-            with connect(args.config.get_libpq_dsn()) as conn:
-                words = tokenizer.most_frequent_words(conn, 1000)
-
-            for word in words:
-                api.search(word)
+        try:
+            if args.target != 'search':
+                for _ in range(1000):
+                    api.reverse((random.uniform(-90, 90), random.uniform(-180, 180)),
+                                address_details=True)
+
+            if args.target != 'reverse':
+                from ..tokenizer import factory as tokenizer_factory
+
+                tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
+                with connect(args.config.get_libpq_dsn()) as conn:
+                    if conn.table_exists('search_name'):
+                        words = tokenizer.most_frequent_words(conn, 1000)
+                    else:
+                        words = []
+
+                for word in words:
+                    api.search(word)
+        finally:
+            api.close()
 
         return 0