X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/336258ecf82548a46715b7165b0547dacc161e07..ae6b029543f7cacd9a491ae5965981a610ca424e:/nominatim/tokenizer/icu_tokenizer.py?ds=sidebyside

diff --git a/nominatim/tokenizer/icu_tokenizer.py b/nominatim/tokenizer/icu_tokenizer.py
index 61263678..9c7138ce 100644
--- a/nominatim/tokenizer/icu_tokenizer.py
+++ b/nominatim/tokenizer/icu_tokenizer.py
@@ -1,8 +1,13 @@
+# SPDX-License-Identifier: GPL-2.0-only
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.
 """
 Tokenizer implementing normalisation as used before Nominatim 4 but using
 libICU instead of the PostgreSQL module.
 """
-from collections import Counter
 import itertools
 import json
 import logging
@@ -10,14 +15,12 @@ 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
 from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
-from nominatim.tokenizer.icu_name_processor import ICUNameProcessor, ICUNameProcessorRules
 from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
 
-DBCFG_MAXWORDFREQ = "tokenizer_maxwordfreq"
 DBCFG_TERM_NORMALIZATION = "tokenizer_term_normalization"
 
 LOG = logging.getLogger()
@@ -37,9 +40,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
     def __init__(self, dsn, data_dir):
         self.dsn = dsn
         self.data_dir = data_dir
-        self.naming_rules = None
-        self.term_normalization = None
-        self.max_word_frequency = None
+        self.loader = None
 
 
     def init_new_db(self, config, init_db=True):
@@ -48,54 +49,112 @@ class LegacyICUTokenizer(AbstractTokenizer):
             This copies all necessary data in the project directory to make
             sure the tokenizer remains stable even over updates.
         """
-        loader = ICURuleLoader(config.load_sub_configuration('icu_tokenizer.yaml',
-                                                             config='TOKENIZER_CONFIG'))
-        self.naming_rules = ICUNameProcessorRules(loader=loader)
-        self.term_normalization = config.TERM_NORMALIZATION
-        self.max_word_frequency = config.MAX_WORD_FREQUENCY
+        self.loader = ICURuleLoader(config)
 
-        self._install_php(config.lib_dir.php)
-        self._save_config(config)
+        self._install_php(config.lib_dir.php, overwrite=True)
+        self._save_config()
 
         if init_db:
             self.update_sql_functions(config)
             self._init_db_tables(config)
 
 
-    def init_from_project(self):
+    def init_from_project(self, config):
         """ Initialise the tokenizer from the project directory.
         """
+        self.loader = ICURuleLoader(config)
+
         with connect(self.dsn) as conn:
-            self.naming_rules = ICUNameProcessorRules(conn=conn)
-            self.term_normalization = get_property(conn, DBCFG_TERM_NORMALIZATION)
-            self.max_word_frequency = get_property(conn, DBCFG_MAXWORDFREQ)
+            self.loader.load_config_from_db(conn)
+
+        self._install_php(config.lib_dir.php, overwrite=False)
 
 
-    def finalize_import(self, _):
+    def finalize_import(self, config):
         """ Do any required postprocessing to make the tokenizer data ready
             for use.
         """
+        with connect(self.dsn) as conn:
+            sqlp = SQLPreprocessor(conn, config)
+            sqlp.run_sql_file(conn, 'tokenizer/legacy_tokenizer_indices.sql')
 
 
     def update_sql_functions(self, config):
         """ Reimport the SQL functions for this tokenizer.
         """
         with connect(self.dsn) as conn:
-            max_word_freq = get_property(conn, DBCFG_MAXWORDFREQ)
             sqlp = SQLPreprocessor(conn, config)
-            sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer.sql',
-                              max_word_freq=max_word_freq)
+            sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer.sql')
 
 
-    def check_database(self):
+    def check_database(self, config):
         """ Check that the tokenizer is set up correctly.
         """
-        self.init_from_project()
+        # Will throw an error if there is an issue.
+        self.init_from_project(config)
+
+
+    def update_statistics(self):
+        """ Recompute frequencies for all name words.
+        """
+        with connect(self.dsn) as conn:
+            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()
+
+
+    def _cleanup_housenumbers(self):
+        """ Remove unused house numbers.
+        """
+        with connect(self.dsn) as conn:
+            if not conn.table_exists('search_name'):
+                return
+            with conn.cursor(name="hnr_counter") as cur:
+                cur.execute("""SELECT DISTINCT word_id, coalesce(info->>'lookup', word_token)
+                               FROM word
+                               WHERE type = 'H'
+                                 AND NOT EXISTS(SELECT * FROM search_name
+                                                WHERE ARRAY[word.word_id] && name_vector)
+                                 AND (char_length(coalesce(word, word_token)) > 6
+                                      OR coalesce(word, word_token) not similar to '\\d+')
+                            """)
+                candidates = {token: wid for wid, token in cur}
+            with conn.cursor(name="hnr_counter") as cur:
+                cur.execute("""SELECT housenumber FROM placex
+                               WHERE housenumber is not null
+                                     AND (char_length(housenumber) > 6
+                                          OR housenumber not similar to '\\d+')
+                            """)
+                for row in cur:
+                    for hnr in row[0].split(';'):
+                        candidates.pop(hnr, None)
+            LOG.info("There are %s outdated housenumbers.", len(candidates))
+            LOG.debug("Outdated housenumbers: %s", candidates.keys())
+            if candidates:
+                with conn.cursor() as cur:
+                    cur.execute("""DELETE FROM word WHERE word_id = any(%s)""",
+                                (list(candidates.values()), ))
+                conn.commit()
 
-        if self.naming_rules is None:
-            return "Configuration for tokenizer 'icu' are missing."
 
-        return None
+
+    def update_word_tokens(self):
+        """ Remove unused tokens.
+        """
+        LOG.warning("Cleaning up housenumber tokens.")
+        self._cleanup_housenumbers()
+        LOG.warning("Tokenizer house-keeping done.")
 
 
     def name_analyzer(self):
@@ -113,30 +172,30 @@ class LegacyICUTokenizer(AbstractTokenizer):
 
             Analyzers are not thread-safe. You need to instantiate one per thread.
         """
-        return LegacyICUNameAnalyzer(self.dsn, ICUNameProcessor(self.naming_rules))
+        return LegacyICUNameAnalyzer(self.dsn, self.loader.make_sanitizer(),
+                                     self.loader.make_token_analysis())
 
 
-    def _install_php(self, phpdir):
+    def _install_php(self, phpdir, overwrite=True):
         """ Install the php script for the tokenizer.
         """
         php_file = self.data_dir / "tokenizer.php"
-        php_file.write_text(dedent(f"""\
-            <?php
-            @define('CONST_Max_Word_Frequency', {self.max_word_frequency});
-            @define('CONST_Term_Normalization_Rules', "{self.term_normalization}");
-            @define('CONST_Transliteration', "{self.naming_rules.search_rules}");
-            require_once('{phpdir}/tokenizer/icu_tokenizer.php');"""))
 
+        if not php_file.exists() or overwrite:
+            php_file.write_text(dedent(f"""\
+                <?php
+                @define('CONST_Max_Word_Frequency', 10000000);
+                @define('CONST_Term_Normalization_Rules', "{self.loader.normalization_rules}");
+                @define('CONST_Transliteration', "{self.loader.get_search_rules()}");
+                require_once('{phpdir}/tokenizer/icu_tokenizer.php');"""), encoding='utf-8')
 
-    def _save_config(self, config):
+
+    def _save_config(self):
         """ Save the configuration that needs to remain stable for the given
             database as database properties.
         """
         with connect(self.dsn) as conn:
-            self.naming_rules.save_rules(conn)
-
-            set_property(conn, DBCFG_MAXWORDFREQ, config.MAX_WORD_FREQUENCY)
-            set_property(conn, DBCFG_TERM_NORMALIZATION, self.term_normalization)
+            self.loader.save_config_to_db(conn)
 
 
     def _init_db_tables(self, config):
@@ -148,45 +207,6 @@ class LegacyICUTokenizer(AbstractTokenizer):
             sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer_tables.sql')
             conn.commit()
 
-            LOG.warning("Precomputing word tokens")
-
-            # get partial words and their frequencies
-            words = self._count_partial_terms(conn)
-
-            # copy them back into the word table
-            with CopyBuffer() as copystr:
-                for term, cnt in words.items():
-                    copystr.add('w', term, json.dumps({'count': cnt}))
-
-                with conn.cursor() as cur:
-                    copystr.copy_out(cur, 'word',
-                                     columns=['type', 'word_token', 'info'])
-                    cur.execute("""UPDATE word SET word_id = nextval('seq_word')
-                                   WHERE word_id is null and type = 'w'""")
-
-            conn.commit()
-
-    def _count_partial_terms(self, conn):
-        """ Count the partial terms from the names in the place table.
-        """
-        words = Counter()
-        name_proc = ICUNameProcessor(self.naming_rules)
-
-        with conn.cursor(name="words") as cur:
-            cur.execute(""" SELECT v, count(*) FROM
-                              (SELECT svals(name) as v FROM place)x
-                            WHERE length(v) < 75 GROUP BY v""")
-
-            for name, cnt in cur:
-                terms = set()
-                for word in name_proc.get_variants_ascii(name_proc.get_normalized(name)):
-                    if ' ' in word:
-                        terms.update(word.split())
-                for term in terms:
-                    words[term] += cnt
-
-        return words
-
 
 class LegacyICUNameAnalyzer(AbstractAnalyzer):
     """ The legacy analyzer uses the ICU library for splitting names.
@@ -195,10 +215,11 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         normalization.
     """
 
-    def __init__(self, dsn, name_proc):
+    def __init__(self, dsn, sanitizer, token_analysis):
         self.conn = connect(dsn).connection
         self.conn.autocommit = True
-        self.name_processor = name_proc
+        self.sanitizer = sanitizer
+        self.token_analysis = token_analysis
 
         self._cache = _TokenCache()
 
@@ -211,6 +232,19 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             self.conn = None
 
 
+    def _search_normalized(self, name):
+        """ Return the search token transliteration of the given name.
+        """
+        return self.token_analysis.search.transliterate(name).strip()
+
+
+    def _normalized(self, name):
+        """ Return the normalized version of the given name with all
+            non-relevant information removed.
+        """
+        return self.token_analysis.normalizer.transliterate(name).strip()
+
+
     def get_word_token_info(self, words):
         """ Return token information for the given list of words.
             If a word starts with # it is assumed to be a full name
@@ -226,9 +260,9 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         partial_tokens = {}
         for word in words:
             if word.startswith('#'):
-                full_tokens[word] = self.name_processor.get_search_normalized(word[1:])
+                full_tokens[word] = self._search_normalized(word[1:])
             else:
-                partial_tokens[word] = self.name_processor.get_search_normalized(word)
+                partial_tokens[word] = self._search_normalized(word)
 
         with self.conn.cursor() as cur:
             cur.execute("""SELECT word_token, word_id
@@ -254,13 +288,6 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return postcode.strip().upper()
 
 
-    def _make_standard_hnr(self, hnr):
-        """ Create a normalised version of a housenumber.
-
-            This function takes minor shortcuts on transliteration.
-        """
-        return self.name_processor.get_search_normalized(hnr)
-
     def update_postcodes_from_db(self):
         """ Update postcode tokens in the word table from the location_postcode
             table.
@@ -282,7 +309,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                     if postcode is None:
                         to_delete.append(word)
                     else:
-                        copystr.add(self.name_processor.get_search_normalized(postcode),
+                        copystr.add(self._search_normalized(postcode),
                                     'P', postcode)
 
                 if to_delete:
@@ -300,7 +327,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             completely replaced. Otherwise the phrases are added to the
             already existing ones.
         """
-        norm_phrases = set(((self.name_processor.get_normalized(p[0]), p[1], p[2], p[3])
+        norm_phrases = set(((self._normalized(p[0]), p[1], p[2], p[3])
                             for p in phrases))
 
         with self.conn.cursor() as cur:
@@ -330,7 +357,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         added = 0
         with CopyBuffer() as copystr:
             for word, cls, typ, oper in to_add:
-                term = self.name_processor.get_search_normalized(word)
+                term = self._search_normalized(word)
                 if term:
                     copystr.add(term, 'S', word,
                                 json.dumps({'class': cls, 'type': typ,
@@ -362,105 +389,216 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
 
 
     def add_country_names(self, country_code, names):
-        """ Add names for the given country to the search index.
+        """ Add default names for the given country to the search index.
+        """
+        # Make sure any name preprocessing for country names applies.
+        info = PlaceInfo({'name': names, 'country_code': country_code,
+                          'rank_address': 4, 'class': 'boundary',
+                          'type': 'administrative'})
+        self._add_country_full_names(country_code,
+                                     self.sanitizer.process_names(info)[0],
+                                     internal=True)
+
+
+    def _add_country_full_names(self, country_code, names, internal=False):
+        """ Add names for the given country from an already sanitized
+            name list.
         """
         word_tokens = set()
-        for name in self._compute_full_names(names):
-            norm_name = self.name_processor.get_search_normalized(name)
+        for name in names:
+            norm_name = self._search_normalized(name.name)
             if norm_name:
                 word_tokens.add(norm_name)
 
         with self.conn.cursor() as cur:
             # Get existing names
-            cur.execute("""SELECT word_token FROM word
-                            WHERE type = 'C' and word = %s""",
+            cur.execute("""SELECT word_token, coalesce(info ? 'internal', false) as is_internal
+                             FROM word
+                             WHERE type = 'C' and word = %s""",
                         (country_code, ))
-            word_tokens.difference_update((t[0] for t in cur))
+            existing_tokens = {True: set(), False: set()} # internal/external names
+            for word in cur:
+                existing_tokens[word[1]].add(word[0])
+
+            # Delete names that no longer exist.
+            gone_tokens = existing_tokens[internal] - word_tokens
+            if internal:
+                gone_tokens.update(existing_tokens[False] & word_tokens)
+            if gone_tokens:
+                cur.execute("""DELETE FROM word
+                               USING unnest(%s) as token
+                               WHERE type = 'C' and word = %s
+                                     and word_token = token""",
+                            (list(gone_tokens), country_code))
 
             # Only add those names that are not yet in the list.
-            if word_tokens:
-                cur.execute("""INSERT INTO word (word_token, type, word)
-                               (SELECT token, 'C', %s
-                                FROM unnest(%s) as token)
-                            """, (country_code, list(word_tokens)))
-
-            # No names are deleted at the moment.
-            # If deletion is made possible, then the static names from the
-            # initial 'country_name' table should be kept.
+            new_tokens = word_tokens - existing_tokens[True]
+            if not internal:
+                new_tokens -= existing_tokens[False]
+            if new_tokens:
+                if internal:
+                    sql = """INSERT INTO word (word_token, type, word, info)
+                               (SELECT token, 'C', %s, '{"internal": "yes"}'
+                                  FROM unnest(%s) as token)
+                           """
+                else:
+                    sql = """INSERT INTO word (word_token, type, word)
+                                   (SELECT token, 'C', %s
+                                    FROM unnest(%s) as token)
+                          """
+                cur.execute(sql, (country_code, list(new_tokens)))
 
 
     def process_place(self, place):
         """ Determine tokenizer information about the given place.
 
-            Returns a JSON-serialisable structure that will be handed into
+            Returns a JSON-serializable structure that will be handed into
             the database via the token_info field.
         """
-        token_info = _TokenInfo(self._cache)
+        token_info = _TokenInfo()
 
-        names = place.get('name')
+        names, address = self.sanitizer.process_names(place)
 
         if names:
-            fulls, partials = self._compute_name_tokens(names)
-
-            token_info.add_names(fulls, partials)
+            token_info.set_names(*self._compute_name_tokens(names))
 
-            country_feature = place.get('country_feature')
-            if country_feature and re.fullmatch(r'[A-Za-z][A-Za-z]', country_feature):
-                self.add_country_names(country_feature.lower(), names)
+            if place.is_country():
+                self._add_country_full_names(place.country_code, names)
 
-        address = place.get('address')
         if address:
             self._process_place_address(token_info, address)
 
-        return token_info.data
+        return token_info.to_dict()
 
 
     def _process_place_address(self, token_info, address):
-        hnrs = []
-        addr_terms = []
-        for key, value in address.items():
-            if key == 'postcode':
-                self._add_postcode(value)
-            elif key in ('housenumber', 'streetnumber', 'conscriptionnumber'):
-                hnrs.append(value)
-            elif key == 'street':
-                token_info.add_street(*self._compute_name_tokens({'name': value}))
-            elif key == 'place':
-                token_info.add_place(*self._compute_name_tokens({'name': value}))
-            elif not key.startswith('_') and \
-                 key not in ('country', 'full'):
-                addr_terms.append((key, *self._compute_name_tokens({'name': value})))
-
-        if hnrs:
-            hnrs = self._split_housenumbers(hnrs)
-            token_info.add_housenumbers(self.conn, [self._make_standard_hnr(n) for n in hnrs])
-
-        if addr_terms:
-            token_info.add_address_terms(addr_terms)
+        for item in address:
+            if item.kind == 'postcode':
+                self._add_postcode(item.name)
+            elif item.kind == 'housenumber':
+                token_info.add_housenumber(*self._compute_housenumber_token(item))
+            elif item.kind == 'street':
+                token_info.add_street(self._retrieve_full_tokens(item.name))
+            elif item.kind == 'place':
+                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'):
+                token_info.add_address_term(item.kind, self._compute_partial_tokens(item.name))
+
+
+    def _compute_housenumber_token(self, hnr):
+        """ Normalize the housenumber and return the word token and the
+            canonical form.
+        """
+        analyzer = self.token_analysis.analysis.get('@housenumber')
+        result = None, None
+
+        if analyzer is None:
+            # When no custom analyzer is set, simply normalize and transliterate
+            norm_name = self._search_normalized(hnr.name)
+            if norm_name:
+                result = self._cache.housenumbers.get(norm_name, result)
+                if result[0] is None:
+                    with self.conn.cursor() as cur:
+                        cur.execute("SELECT getorcreate_hnr_id(%s)", (norm_name, ))
+                        result = cur.fetchone()[0], norm_name
+                        self._cache.housenumbers[norm_name] = result
+        else:
+            # Otherwise use the analyzer to determine the canonical name.
+            # Per convention we use the first variant as the 'lookup name', the
+            # name that gets saved in the housenumber field of the place.
+            norm_name = analyzer.normalize(hnr.name)
+            if norm_name:
+                result = self._cache.housenumbers.get(norm_name, result)
+                if result[0] is None:
+                    variants = analyzer.get_variants_ascii(norm_name)
+                    if variants:
+                        with self.conn.cursor() as cur:
+                            cur.execute("SELECT create_analyzed_hnr_id(%s, %s)",
+                                        (norm_name, list(variants)))
+                            result = cur.fetchone()[0], variants[0]
+                            self._cache.housenumbers[norm_name] = result
+
+        return result
+
+
+    def _compute_partial_tokens(self, name):
+        """ Normalize the given term, split it into partial words and return
+            then token list for them.
+        """
+        norm_name = self._search_normalized(name)
+
+        tokens = []
+        need_lookup = []
+        for partial in norm_name.split():
+            token = self._cache.partials.get(partial)
+            if token:
+                tokens.append(token)
+            else:
+                need_lookup.append(partial)
+
+        if need_lookup:
+            with self.conn.cursor() as cur:
+                cur.execute("""SELECT word, getorcreate_partial_word(word)
+                               FROM unnest(%s) word""",
+                            (need_lookup, ))
+
+                for partial, token in cur:
+                    tokens.append(token)
+                    self._cache.partials[partial] = token
+
+        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.
         """
-        full_names = self._compute_full_names(names)
         full_tokens = set()
         partial_tokens = set()
 
-        for name in full_names:
-            norm_name = self.name_processor.get_normalized(name)
-            full, part = self._cache.names.get(norm_name, (None, None))
+        for name in names:
+            analyzer_id = name.get_attr('analyzer')
+            analyzer = self.token_analysis.get_analyzer(analyzer_id)
+            norm_name = analyzer.normalize(name.name)
+            if analyzer_id is None:
+                token_id = norm_name
+            else:
+                token_id = f'{norm_name}@{analyzer_id}'
+
+            full, part = self._cache.names.get(token_id, (None, None))
             if full is None:
-                variants = self.name_processor.get_variants_ascii(norm_name)
+                variants = analyzer.get_variants_ascii(norm_name)
                 if not variants:
                     continue
 
                 with self.conn.cursor() as cur:
-                    cur.execute("SELECT (getorcreate_full_word(%s, %s)).*",
-                                (norm_name, variants))
+                    cur.execute("SELECT * FROM getorcreate_full_word(%s, %s)",
+                                (token_id, variants))
                     full, part = cur.fetchone()
 
-                self._cache.names[norm_name] = (full, part)
+                self._cache.names[token_id] = (full, part)
 
             full_tokens.add(full)
             partial_tokens.update(part)
@@ -468,23 +606,6 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return full_tokens, partial_tokens
 
 
-    @staticmethod
-    def _compute_full_names(names):
-        """ Return the set of all full name word ids to be used with the
-            given dictionary of names.
-        """
-        full_names = set()
-        for name in (n.strip() for ns in names.values() for n in re.split('[;,]', ns)):
-            if name:
-                full_names.add(name)
-
-                brace_idx = name.find('(')
-                if brace_idx >= 0:
-                    full_names.add(name[:brace_idx].strip())
-
-        return full_names
-
-
     def _add_postcode(self, postcode):
         """ Make sure the normalized postcode is present in the word table.
         """
@@ -492,7 +613,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             postcode = self.normalize_postcode(postcode)
 
             if postcode not in self._cache.postcodes:
-                term = self.name_processor.get_search_normalized(postcode)
+                term = self._search_normalized(postcode)
                 if not term:
                     return
 
@@ -507,77 +628,79 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                 self._cache.postcodes.add(postcode)
 
 
+class _TokenInfo:
+    """ Collect token information to be sent back to the database.
+    """
+    def __init__(self):
+        self.names = None
+        self.housenumbers = set()
+        self.housenumber_tokens = set()
+        self.street_tokens = set()
+        self.place_tokens = set()
+        self.address_tokens = {}
+
+
     @staticmethod
-    def _split_housenumbers(hnrs):
-        if len(hnrs) > 1 or ',' in hnrs[0] or ';' in hnrs[0]:
-            # split numbers if necessary
-            simple_list = []
-            for hnr in hnrs:
-                simple_list.extend((x.strip() for x in re.split(r'[;,]', hnr)))
-
-            if len(simple_list) > 1:
-                hnrs = list(set(simple_list))
-            else:
-                hnrs = simple_list
+    def _mk_array(tokens):
+        return f"{{{','.join((str(s) for s in tokens))}}}"
 
-        return hnrs
 
+    def to_dict(self):
+        """ Return the token information in database importable format.
+        """
+        out = {}
 
+        if self.names:
+            out['names'] = self.names
 
+        if self.housenumbers:
+            out['hnr'] = ';'.join(self.housenumbers)
+            out['hnr_tokens'] = self._mk_array(self.housenumber_tokens)
 
-class _TokenInfo:
-    """ Collect token information to be sent back to the database.
-    """
-    def __init__(self, cache):
-        self._cache = cache
-        self.data = {}
+        if self.street_tokens:
+            out['street'] = self._mk_array(self.street_tokens)
 
-    @staticmethod
-    def _mk_array(tokens):
-        return '{%s}' % ','.join((str(s) for s in tokens))
+        if self.place_tokens:
+            out['place'] = self._mk_array(self.place_tokens)
 
+        if self.address_tokens:
+            out['addr'] = self.address_tokens
 
-    def add_names(self, fulls, partials):
+        return out
+
+
+    def set_names(self, fulls, partials):
         """ Adds token information for the normalised names.
         """
-        self.data['names'] = self._mk_array(itertools.chain(fulls, partials))
+        self.names = self._mk_array(itertools.chain(fulls, partials))
 
 
-    def add_housenumbers(self, conn, hnrs):
+    def add_housenumber(self, token, hnr):
         """ Extract housenumber information from a list of normalised
             housenumbers.
         """
-        self.data['hnr_tokens'] = self._mk_array(self._cache.get_hnr_tokens(conn, hnrs))
-        self.data['hnr'] = ';'.join(hnrs)
+        if token:
+            self.housenumbers.add(hnr)
+            self.housenumber_tokens.add(token)
 
 
-    def add_street(self, fulls, _):
+    def add_street(self, tokens):
         """ Add addr:street match terms.
         """
-        if fulls:
-            self.data['street'] = self._mk_array(fulls)
+        self.street_tokens.update(tokens)
 
 
-    def add_place(self, fulls, partials):
+    def add_place(self, tokens):
         """ Add addr:place search and match terms.
         """
-        if fulls:
-            self.data['place_search'] = self._mk_array(itertools.chain(fulls, partials))
-            self.data['place_match'] = self._mk_array(fulls)
+        self.place_tokens.update(tokens)
 
 
-    def add_address_terms(self, terms):
+    def add_address_term(self, key, partials):
         """ Add additional address terms.
         """
-        tokens = {}
-
-        for key, fulls, partials in terms:
-            if fulls:
-                tokens[key] = [self._mk_array(itertools.chain(fulls, partials)),
-                               self._mk_array(fulls)]
-
-        if tokens:
-            self.data['addr'] = tokens
+        if partials:
+            self.address_tokens[key] = self._mk_array(partials)
 
 
 class _TokenCache:
@@ -588,31 +711,7 @@ class _TokenCache:
     """
     def __init__(self):
         self.names = {}
+        self.partials = {}
+        self.fulls = {}
         self.postcodes = set()
         self.housenumbers = {}
-
-
-    def get_hnr_tokens(self, conn, terms):
-        """ Get token ids for a list of housenumbers, looking them up in the
-            database if necessary. `terms` is an iterable of normalized
-            housenumbers.
-        """
-        tokens = []
-        askdb = []
-
-        for term in terms:
-            token = self.housenumbers.get(term)
-            if token is None:
-                askdb.append(term)
-            else:
-                tokens.append(token)
-
-        if askdb:
-            with conn.cursor() as cur:
-                cur.execute("SELECT nr, getorcreate_hnr_id(nr) FROM unnest(%s) as nr",
-                            (askdb, ))
-                for term, tid in cur:
-                    self.housenumbers[term] = tid
-                    tokens.append(tid)
-
-        return tokens