recreate word table when refreshing counts

[nominatim.git] / nominatim / tokenizer / base.py

diff --git a/nominatim/tokenizer/base.py b/nominatim/tokenizer/base.py
index f0fd9dd0e178c5a1319ce6e79a560cb438567f12..29bcc8e196cf29cf4ef110252fbad0a5f26da2b7 100644 (file)
--- a/nominatim/tokenizer/base.py
+++ b/nominatim/tokenizer/base.py
@@ -53,8 +53,8 @@ class AbstractAnalyzer(ABC):
 
             Returns:
                 The function returns the list of all tuples that could be
-                found for the given words. Each list entry is a tuple of
-                (original word, word token, word id).
+                    found for the given words. Each list entry is a tuple of
+                    (original word, word token, word id).
         """
 
 
@@ -118,7 +118,7 @@ class AbstractAnalyzer(ABC):
 
             Returns:
                 A JSON-serialisable structure that will be handed into
-                the database via the `token_info` field.
+                    the database via the `token_info` field.
         """
 
 
@@ -144,8 +144,6 @@ class AbstractTokenizer(ABC):
                 tables should be skipped. This option is only required for
                 migration purposes and can be safely ignored by custom
                 tokenizers.
-
-            TODO: can we move the init_db parameter somewhere else?
         """
 
 
@@ -197,13 +195,13 @@ class AbstractTokenizer(ABC):
 
             Returns:
               If an issue was found, return an error message with the
-              description of the issue as well as hints for the user on
-              how to resolve the issue. If everything is okay, return `None`.
+                  description of the issue as well as hints for the user on
+                  how to resolve the issue. If everything is okay, return `None`.
         """
 
 
     @abstractmethod
-    def update_statistics(self) -> None:
+    def update_statistics(self, config: Configuration) -> None:
         """ Recompute any tokenizer statistics necessary for efficient lookup.
             This function is meant to be called from time to time by the user
             to improve performance. However, the tokenizer must not depend on
@@ -236,8 +234,12 @@ class AbstractTokenizer(ABC):
 
     @abstractmethod
     def most_frequent_words(self, conn: Connection, num: int) -> List[str]:
-        """ Return a list of the `num` most frequent full words
-            in the database.
+        """ Return a list of the most frequent full words in the database.
+
+            Arguments:
+              conn: Open connection to the database which may be used to
+                    retrieve the words.
+              num: Maximum number of words to return.
         """