X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/85797acf1ef6995c4c35b9ac3c2373a972fb48e1..fc038261b9fe7f7d89a4000496185e72ac100a2a:/nominatim/tokenizer/icu_tokenizer.py

diff --git a/nominatim/tokenizer/icu_tokenizer.py b/nominatim/tokenizer/icu_tokenizer.py
index e7ee57ad..90caec1c 100644
--- a/nominatim/tokenizer/icu_tokenizer.py
+++ b/nominatim/tokenizer/icu_tokenizer.py
@@ -9,7 +9,6 @@ import re
 from textwrap import dedent
 
 from nominatim.db.connection import connect
-from nominatim.db.properties import set_property, get_property
 from nominatim.db.utils import CopyBuffer
 from nominatim.db.sql_preprocessor import SQLPreprocessor
 from nominatim.indexer.place_info import PlaceInfo
@@ -36,7 +35,6 @@ class LegacyICUTokenizer(AbstractTokenizer):
         self.dsn = dsn
         self.data_dir = data_dir
         self.loader = None
-        self.term_normalization = None
 
 
     def init_new_db(self, config, init_db=True):
@@ -47,8 +45,6 @@ class LegacyICUTokenizer(AbstractTokenizer):
         """
         self.loader = ICURuleLoader(config)
 
-        self.term_normalization = config.TERM_NORMALIZATION
-
         self._install_php(config.lib_dir.php)
         self._save_config()
 
@@ -64,7 +60,6 @@ class LegacyICUTokenizer(AbstractTokenizer):
 
         with connect(self.dsn) as conn:
             self.loader.load_config_from_db(conn)
-            self.term_normalization = get_property(conn, DBCFG_TERM_NORMALIZATION)
 
 
     def finalize_import(self, config):
@@ -87,30 +82,27 @@ class LegacyICUTokenizer(AbstractTokenizer):
     def check_database(self, config):
         """ Check that the tokenizer is set up correctly.
         """
+        # Will throw an error if there is an issue.
         self.init_from_project(config)
 
-        if self.term_normalization is None:
-            return "Configuration for tokenizer 'icu' are missing."
-
-        return None
-
 
     def update_statistics(self):
         """ Recompute frequencies for all name words.
         """
         with connect(self.dsn) as conn:
-            with conn.cursor() as cur:
-                cur.drop_table("word_frequencies")
-                LOG.info("Computing word frequencies")
-                cur.execute("""CREATE TEMP TABLE word_frequencies AS
-                                 SELECT unnest(name_vector) as id, count(*)
-                                 FROM search_name GROUP BY id""")
-                cur.execute("CREATE INDEX ON word_frequencies(id)")
-                LOG.info("Update word table with recomputed frequencies")
-                cur.execute("""UPDATE word
-                               SET info = info || jsonb_build_object('count', count)
-                               FROM word_frequencies WHERE word_id = id""")
-                cur.drop_table("word_frequencies")
+            if conn.table_exists('search_name'):
+                with conn.cursor() as cur:
+                    cur.drop_table("word_frequencies")
+                    LOG.info("Computing word frequencies")
+                    cur.execute("""CREATE TEMP TABLE word_frequencies AS
+                                     SELECT unnest(name_vector) as id, count(*)
+                                     FROM search_name GROUP BY id""")
+                    cur.execute("CREATE INDEX ON word_frequencies(id)")
+                    LOG.info("Update word table with recomputed frequencies")
+                    cur.execute("""UPDATE word
+                                   SET info = info || jsonb_build_object('count', count)
+                                   FROM word_frequencies WHERE word_id = id""")
+                    cur.drop_table("word_frequencies")
             conn.commit()
 
 
@@ -140,7 +132,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
         php_file.write_text(dedent(f"""\
             <?php
             @define('CONST_Max_Word_Frequency', 10000000);
-            @define('CONST_Term_Normalization_Rules', "{self.term_normalization}");
+            @define('CONST_Term_Normalization_Rules', "{self.loader.normalization_rules}");
             @define('CONST_Transliteration', "{self.loader.get_search_rules()}");
             require_once('{phpdir}/tokenizer/icu_tokenizer.php');"""))
 
@@ -151,7 +143,6 @@ class LegacyICUTokenizer(AbstractTokenizer):
         """
         with connect(self.dsn) as conn:
             self.loader.save_config_to_db(conn)
-            set_property(conn, DBCFG_TERM_NORMALIZATION, self.term_normalization)
 
 
     def _init_db_tables(self, config):
@@ -418,16 +409,18 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
     def _process_place_address(self, token_info, address):
         hnrs = []
         addr_terms = []
+        streets = []
         for item in address:
             if item.kind == 'postcode':
                 self._add_postcode(item.name)
             elif item.kind in ('housenumber', 'streetnumber', 'conscriptionnumber'):
                 hnrs.append(item.name)
             elif item.kind == 'street':
-                token_info.add_street(self._compute_partial_tokens(item.name))
+                streets.extend(self._retrieve_full_tokens(item.name))
             elif item.kind == 'place':
-                token_info.add_place(self._compute_partial_tokens(item.name))
-            elif not item.kind.startswith('_') and \
+                if not item.suffix:
+                    token_info.add_place(self._compute_partial_tokens(item.name))
+            elif not item.kind.startswith('_') and not item.suffix and \
                  item.kind not in ('country', 'full'):
                 addr_terms.append((item.kind, self._compute_partial_tokens(item.name)))
 
@@ -438,6 +431,9 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         if addr_terms:
             token_info.add_address_terms(addr_terms)
 
+        if streets:
+            token_info.add_street(streets)
+
 
     def _compute_partial_tokens(self, name):
         """ Normalize the given term, split it into partial words and return
@@ -467,6 +463,26 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return tokens
 
 
+    def _retrieve_full_tokens(self, name):
+        """ Get the full name token for the given name, if it exists.
+            The name is only retrived for the standard analyser.
+        """
+        norm_name = self._search_normalized(name)
+
+        # return cached if possible
+        if norm_name in self._cache.fulls:
+            return self._cache.fulls[norm_name]
+
+        with self.conn.cursor() as cur:
+            cur.execute("SELECT word_id FROM word WHERE word_token = %s and type = 'W'",
+                        (norm_name, ))
+            full = [row[0] for row in cur]
+
+        self._cache.fulls[norm_name] = full
+
+        return full
+
+
     def _compute_name_tokens(self, names):
         """ Computes the full name and partial name tokens for the given
             dictionary of names.
@@ -570,8 +586,7 @@ class _TokenInfo:
     def add_street(self, tokens):
         """ Add addr:street match terms.
         """
-        if tokens:
-            self.data['street'] = self._mk_array(tokens)
+        self.data['street'] = self._mk_array(tokens)
 
 
     def add_place(self, tokens):
@@ -600,6 +615,7 @@ class _TokenCache:
     def __init__(self):
         self.names = {}
         self.partials = {}
+        self.fulls = {}
         self.postcodes = set()
         self.housenumbers = {}