]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/tokenizer/icu_tokenizer.py
move warm script to python code
[nominatim.git] / nominatim / tokenizer / icu_tokenizer.py
index a6ff08a40774736c363965bada9a23101f2ccd86..39c1cbc648ca33fe4ecce4ec77421db1de96b1c2 100644 (file)
@@ -8,41 +8,48 @@
 Tokenizer implementing normalisation as used before Nominatim 4 but using
 libICU instead of the PostgreSQL module.
 """
+from typing import Optional, Sequence, List, Tuple, Mapping, Any, cast, \
+                   Dict, Set, Iterable
 import itertools
 import json
 import logging
+from pathlib import Path
 from textwrap import dedent
 
-from nominatim.db.connection import connect
+from nominatim.db.connection import connect, Connection, Cursor
+from nominatim.config import Configuration
 from nominatim.db.utils import CopyBuffer
 from nominatim.db.sql_preprocessor import SQLPreprocessor
-from nominatim.indexer.place_info import PlaceInfo
+from nominatim.data.place_info import PlaceInfo
 from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
+from nominatim.tokenizer.place_sanitizer import PlaceSanitizer
+from nominatim.data.place_name import PlaceName
+from nominatim.tokenizer.icu_token_analysis import ICUTokenAnalysis
 from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
 
 DBCFG_TERM_NORMALIZATION = "tokenizer_term_normalization"
 
 LOG = logging.getLogger()
 
-def create(dsn, data_dir):
+def create(dsn: str, data_dir: Path) -> 'ICUTokenizer':
     """ Create a new instance of the tokenizer provided by this module.
     """
-    return LegacyICUTokenizer(dsn, data_dir)
+    return ICUTokenizer(dsn, data_dir)
 
 
-class LegacyICUTokenizer(AbstractTokenizer):
-    """ This tokenizer uses libICU to covert names and queries to ASCII.
+class ICUTokenizer(AbstractTokenizer):
+    """ This tokenizer uses libICU to convert names and queries to ASCII.
         Otherwise it uses the same algorithms and data structures as the
         normalization routines in Nominatim 3.
     """
 
-    def __init__(self, dsn, data_dir):
+    def __init__(self, dsn: str, data_dir: Path) -> None:
         self.dsn = dsn
         self.data_dir = data_dir
-        self.loader = None
+        self.loader: Optional[ICURuleLoader] = None
 
 
-    def init_new_db(self, config, init_db=True):
+    def init_new_db(self, config: Configuration, init_db: bool = True) -> None:
         """ Set up a new tokenizer for the database.
 
             This copies all necessary data in the project directory to make
@@ -58,7 +65,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
             self._init_db_tables(config)
 
 
-    def init_from_project(self, config):
+    def init_from_project(self, config: Configuration) -> None:
         """ Initialise the tokenizer from the project directory.
         """
         self.loader = ICURuleLoader(config)
@@ -69,7 +76,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
         self._install_php(config.lib_dir.php, overwrite=False)
 
 
-    def finalize_import(self, config):
+    def finalize_import(self, config: Configuration) -> None:
         """ Do any required postprocessing to make the tokenizer data ready
             for use.
         """
@@ -78,7 +85,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
             sqlp.run_sql_file(conn, 'tokenizer/legacy_tokenizer_indices.sql')
 
 
-    def update_sql_functions(self, config):
+    def update_sql_functions(self, config: Configuration) -> None:
         """ Reimport the SQL functions for this tokenizer.
         """
         with connect(self.dsn) as conn:
@@ -86,14 +93,14 @@ class LegacyICUTokenizer(AbstractTokenizer):
             sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer.sql')
 
 
-    def check_database(self, config):
+    def check_database(self, config: Configuration) -> None:
         """ Check that the tokenizer is set up correctly.
         """
         # Will throw an error if there is an issue.
         self.init_from_project(config)
 
 
-    def update_statistics(self):
+    def update_statistics(self) -> None:
         """ Recompute frequencies for all name words.
         """
         with connect(self.dsn) as conn:
@@ -113,7 +120,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
             conn.commit()
 
 
-    def _cleanup_housenumbers(self):
+    def _cleanup_housenumbers(self) -> None:
         """ Remove unused house numbers.
         """
         with connect(self.dsn) as conn:
@@ -148,7 +155,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
 
 
 
-    def update_word_tokens(self):
+    def update_word_tokens(self) -> None:
         """ Remove unused tokens.
         """
         LOG.warning("Cleaning up housenumber tokens.")
@@ -156,7 +163,7 @@ class LegacyICUTokenizer(AbstractTokenizer):
         LOG.warning("Tokenizer house-keeping done.")
 
 
-    def name_analyzer(self):
+    def name_analyzer(self) -> 'ICUNameAnalyzer':
         """ Create a new analyzer for tokenizing names and queries
             using this tokinzer. Analyzers are context managers and should
             be used accordingly:
@@ -171,13 +178,27 @@ class LegacyICUTokenizer(AbstractTokenizer):
 
             Analyzers are not thread-safe. You need to instantiate one per thread.
         """
-        return LegacyICUNameAnalyzer(self.dsn, self.loader.make_sanitizer(),
-                                     self.loader.make_token_analysis())
+        assert self.loader is not None
+        return ICUNameAnalyzer(self.dsn, self.loader.make_sanitizer(),
+                               self.loader.make_token_analysis())
 
 
-    def _install_php(self, phpdir, overwrite=True):
+    def most_frequent_words(self, conn: Connection, num: int) -> List[str]:
+        """ Return a list of the `num` most frequent full words
+            in the database.
+        """
+        with conn.cursor() as cur:
+            cur.execute("""SELECT word, sum((info->'count')::int) as count
+                             FROM word WHERE type = 'W'
+                             GROUP BY word
+                             ORDER BY count DESC LIMIT %s""", (num,))
+            return list(s[0].split('@')[0] for s in cur)
+
+
+    def _install_php(self, phpdir: Path, overwrite: bool = True) -> None:
         """ Install the php script for the tokenizer.
         """
+        assert self.loader is not None
         php_file = self.data_dir / "tokenizer.php"
 
         if not php_file.exists() or overwrite:
@@ -189,15 +210,16 @@ class LegacyICUTokenizer(AbstractTokenizer):
                 require_once('{phpdir}/tokenizer/icu_tokenizer.php');"""), encoding='utf-8')
 
 
-    def _save_config(self):
+    def _save_config(self) -> None:
         """ Save the configuration that needs to remain stable for the given
             database as database properties.
         """
+        assert self.loader is not None
         with connect(self.dsn) as conn:
             self.loader.save_config_to_db(conn)
 
 
-    def _init_db_tables(self, config):
+    def _init_db_tables(self, config: Configuration) -> None:
         """ Set up the word table and fill it with pre-computed word
             frequencies.
         """
@@ -207,15 +229,16 @@ class LegacyICUTokenizer(AbstractTokenizer):
             conn.commit()
 
 
-class LegacyICUNameAnalyzer(AbstractAnalyzer):
-    """ The legacy analyzer uses the ICU library for splitting names.
+class ICUNameAnalyzer(AbstractAnalyzer):
+    """ The ICU analyzer uses the ICU library for splitting names.
 
         Each instance opens a connection to the database to request the
         normalization.
     """
 
-    def __init__(self, dsn, sanitizer, token_analysis):
-        self.conn = connect(dsn).connection
+    def __init__(self, dsn: str, sanitizer: PlaceSanitizer,
+                 token_analysis: ICUTokenAnalysis) -> None:
+        self.conn: Optional[Connection] = connect(dsn).connection
         self.conn.autocommit = True
         self.sanitizer = sanitizer
         self.token_analysis = token_analysis
@@ -223,7 +246,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         self._cache = _TokenCache()
 
 
-    def close(self):
+    def close(self) -> None:
         """ Free all resources used by the analyzer.
         """
         if self.conn:
@@ -231,20 +254,20 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             self.conn = None
 
 
-    def _search_normalized(self, name):
+    def _search_normalized(self, name: str) -> str:
         """ Return the search token transliteration of the given name.
         """
-        return self.token_analysis.search.transliterate(name).strip()
+        return cast(str, self.token_analysis.search.transliterate(name)).strip()
 
 
-    def _normalized(self, name):
+    def _normalized(self, name: str) -> str:
         """ Return the normalized version of the given name with all
             non-relevant information removed.
         """
-        return self.token_analysis.normalizer.transliterate(name).strip()
+        return cast(str, self.token_analysis.normalizer.transliterate(name)).strip()
 
 
-    def get_word_token_info(self, words):
+    def get_word_token_info(self, words: Sequence[str]) -> List[Tuple[str, str, int]]:
         """ Return token information for the given list of words.
             If a word starts with # it is assumed to be a full name
             otherwise is a partial name.
@@ -255,6 +278,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             The function is used for testing and debugging only
             and not necessarily efficient.
         """
+        assert self.conn is not None
         full_tokens = {}
         partial_tokens = {}
         for word in words:
@@ -277,7 +301,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                + [(k, v, part_ids.get(v, None)) for k, v in partial_tokens.items()]
 
 
-    def normalize_postcode(self, postcode):
+    def normalize_postcode(self, postcode: str) -> str:
         """ Convert the postcode to a standardized form.
 
             This function must yield exactly the same result as the SQL function
@@ -286,10 +310,11 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return postcode.strip().upper()
 
 
-    def update_postcodes_from_db(self):
+    def update_postcodes_from_db(self) -> None:
         """ Update postcode tokens in the word table from the location_postcode
             table.
         """
+        assert self.conn is not None
         analyzer = self.token_analysis.analysis.get('@postcode')
 
         with self.conn.cursor() as cur:
@@ -311,7 +336,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                             postcode_name = place.name.strip().upper()
                             variant_base = None
                         else:
-                            postcode_name = analyzer.normalize(place.name)
+                            postcode_name = analyzer.get_canonical_id(place)
                             variant_base = place.get_attr("variant")
 
                         if variant_base:
@@ -324,13 +349,15 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         self._delete_unused_postcode_words(word_entries - needed_entries)
         self._add_missing_postcode_words(needed_entries - word_entries)
 
-    def _delete_unused_postcode_words(self, tokens):
+    def _delete_unused_postcode_words(self, tokens: Iterable[str]) -> None:
+        assert self.conn is not None
         if tokens:
             with self.conn.cursor() as cur:
                 cur.execute("DELETE FROM word WHERE type = 'P' and word = any(%s)",
                             (list(tokens), ))
 
-    def _add_missing_postcode_words(self, tokens):
+    def _add_missing_postcode_words(self, tokens: Iterable[str]) -> None:
+        assert self.conn is not None
         if not tokens:
             return
 
@@ -341,10 +368,12 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             if '@' in postcode_name:
                 term, variant = postcode_name.split('@', 2)
                 term = self._search_normalized(term)
-                variants = {term}
-                if analyzer is not None:
-                    variants.update(analyzer.get_variants_ascii(variant))
-                    variants = list(variants)
+                if analyzer is None:
+                    variants = [term]
+                else:
+                    variants = analyzer.compute_variants(variant)
+                    if term not in variants:
+                        variants.append(term)
             else:
                 variants = [self._search_normalized(postcode_name)]
             terms.append((postcode_name, variants))
@@ -358,12 +387,14 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
 
 
 
-    def update_special_phrases(self, phrases, should_replace):
+    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.
             If `should_replace` is True, then the previous set of will be
             completely replaced. Otherwise the phrases are added to the
             already existing ones.
         """
+        assert self.conn is not None
         norm_phrases = set(((self._normalized(p[0]), p[1], p[2], p[3])
                             for p in phrases))
 
@@ -386,7 +417,9 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                  len(norm_phrases), added, deleted)
 
 
-    def _add_special_phrases(self, cursor, new_phrases, existing_phrases):
+    def _add_special_phrases(self, cursor: Cursor,
+                             new_phrases: Set[Tuple[str, str, str, str]],
+                             existing_phrases: Set[Tuple[str, str, str, str]]) -> int:
         """ Add all phrases to the database that are not yet there.
         """
         to_add = new_phrases - existing_phrases
@@ -407,9 +440,10 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return added
 
 
-    @staticmethod
-    def _remove_special_phrases(cursor, new_phrases, existing_phrases):
-        """ Remove all phrases from the databse that are no longer in the
+    def _remove_special_phrases(self, cursor: Cursor,
+                             new_phrases: Set[Tuple[str, str, str, str]],
+                             existing_phrases: Set[Tuple[str, str, str, str]]) -> int:
+        """ Remove all phrases from the database that are no longer in the
             new phrase list.
         """
         to_delete = existing_phrases - new_phrases
@@ -425,7 +459,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return len(to_delete)
 
 
-    def add_country_names(self, country_code, names):
+    def add_country_names(self, country_code: str, names: Mapping[str, str]) -> None:
         """ Add default names for the given country to the search index.
         """
         # Make sure any name preprocessing for country names applies.
@@ -437,10 +471,12 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                                      internal=True)
 
 
-    def _add_country_full_names(self, country_code, names, internal=False):
+    def _add_country_full_names(self, country_code: str, names: Sequence[PlaceName],
+                                internal: bool = False) -> None:
         """ Add names for the given country from an already sanitized
             name list.
         """
+        assert self.conn is not None
         word_tokens = set()
         for name in names:
             norm_name = self._search_normalized(name.name)
@@ -453,7 +489,8 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                              FROM word
                              WHERE type = 'C' and word = %s""",
                         (country_code, ))
-            existing_tokens = {True: set(), False: set()} # internal/external names
+            # internal/external names
+            existing_tokens: Dict[bool, Set[str]] = {True: set(), False: set()}
             for word in cur:
                 existing_tokens[word[1]].add(word[0])
 
@@ -486,7 +523,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                 cur.execute(sql, (country_code, list(new_tokens)))
 
 
-    def process_place(self, place):
+    def process_place(self, place: PlaceInfo) -> Mapping[str, Any]:
         """ Determine tokenizer information about the given place.
 
             Returns a JSON-serializable structure that will be handed into
@@ -500,6 +537,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
             token_info.set_names(*self._compute_name_tokens(names))
 
             if place.is_country():
+                assert place.country_code is not None
                 self._add_country_full_names(place.country_code, names)
 
         if address:
@@ -508,7 +546,8 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return token_info.to_dict()
 
 
-    def _process_place_address(self, token_info, address):
+    def _process_place_address(self, token_info: '_TokenInfo',
+                               address: Sequence[PlaceName]) -> None:
         for item in address:
             if item.kind == 'postcode':
                 token_info.set_postcode(self._add_postcode(item))
@@ -524,12 +563,13 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                 token_info.add_address_term(item.kind, self._compute_partial_tokens(item.name))
 
 
-    def _compute_housenumber_token(self, hnr):
+    def _compute_housenumber_token(self, hnr: PlaceName) -> Tuple[Optional[int], Optional[str]]:
         """ Normalize the housenumber and return the word token and the
             canonical form.
         """
+        assert self.conn is not None
         analyzer = self.token_analysis.analysis.get('@housenumber')
-        result = None, None
+        result: Tuple[Optional[int], Optional[str]] = (None, None)
 
         if analyzer is None:
             # When no custom analyzer is set, simply normalize and transliterate
@@ -538,32 +578,34 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                 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
+                        hid = cur.scalar("SELECT getorcreate_hnr_id(%s)", (norm_name, ))
+
+                        result = hid, 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)
+            word_id = analyzer.get_canonical_id(hnr)
+            if word_id:
+                result = self._cache.housenumbers.get(word_id, result)
                 if result[0] is None:
-                    variants = analyzer.get_variants_ascii(norm_name)
+                    variants = analyzer.compute_variants(word_id)
                     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
+                            hid = cur.scalar("SELECT create_analyzed_hnr_id(%s, %s)",
+                                             (word_id, list(variants)))
+                            result = hid, variants[0]
+                            self._cache.housenumbers[word_id] = result
 
         return result
 
 
-    def _compute_partial_tokens(self, name):
+    def _compute_partial_tokens(self, name: str) -> List[int]:
         """ Normalize the given term, split it into partial words and return
             then token list for them.
         """
+        assert self.conn is not None
         norm_name = self._search_normalized(name)
 
         tokens = []
@@ -582,16 +624,18 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
                             (need_lookup, ))
 
                 for partial, token in cur:
+                    assert token is not None
                     tokens.append(token)
                     self._cache.partials[partial] = token
 
         return tokens
 
 
-    def _retrieve_full_tokens(self, name):
+    def _retrieve_full_tokens(self, name: str) -> List[int]:
         """ Get the full name token for the given name, if it exists.
-            The name is only retrived for the standard analyser.
+            The name is only retrieved for the standard analyser.
         """
+        assert self.conn is not None
         norm_name = self._search_normalized(name)
 
         # return cached if possible
@@ -608,51 +652,55 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
         return full
 
 
-    def _compute_name_tokens(self, names):
+    def _compute_name_tokens(self, names: Sequence[PlaceName]) -> Tuple[Set[int], Set[int]]:
         """ Computes the full name and partial name tokens for the given
             dictionary of names.
         """
-        full_tokens = set()
-        partial_tokens = set()
+        assert self.conn is not None
+        full_tokens: Set[int] = set()
+        partial_tokens: Set[int] = set()
 
         for name in names:
             analyzer_id = name.get_attr('analyzer')
             analyzer = self.token_analysis.get_analyzer(analyzer_id)
-            norm_name = analyzer.normalize(name.name)
+            word_id = analyzer.get_canonical_id(name)
             if analyzer_id is None:
-                token_id = norm_name
+                token_id = word_id
             else:
-                token_id = f'{norm_name}@{analyzer_id}'
+                token_id = f'{word_id}@{analyzer_id}'
 
             full, part = self._cache.names.get(token_id, (None, None))
             if full is None:
-                variants = analyzer.get_variants_ascii(norm_name)
+                variants = analyzer.compute_variants(word_id)
                 if not variants:
                     continue
 
                 with self.conn.cursor() as cur:
                     cur.execute("SELECT * FROM getorcreate_full_word(%s, %s)",
                                 (token_id, variants))
-                    full, part = cur.fetchone()
+                    full, part = cast(Tuple[int, List[int]], cur.fetchone())
 
                 self._cache.names[token_id] = (full, part)
 
+            assert part is not None
+
             full_tokens.add(full)
             partial_tokens.update(part)
 
         return full_tokens, partial_tokens
 
 
-    def _add_postcode(self, item):
+    def _add_postcode(self, item: PlaceName) -> Optional[str]:
         """ Make sure the normalized postcode is present in the word table.
         """
+        assert self.conn is not None
         analyzer = self.token_analysis.analysis.get('@postcode')
 
         if analyzer is None:
             postcode_name = item.name.strip().upper()
             variant_base = None
         else:
-            postcode_name = analyzer.normalize(item.name)
+            postcode_name = analyzer.get_canonical_id(item)
             variant_base = item.get_attr("variant")
 
         if variant_base:
@@ -667,7 +715,7 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
 
             variants = {term}
             if analyzer is not None and variant_base:
-                variants.update(analyzer.get_variants_ascii(variant_base))
+                variants.update(analyzer.compute_variants(variant_base))
 
             with self.conn.cursor() as cur:
                 cur.execute("SELECT create_postcode_word(%s, %s)",
@@ -680,25 +728,24 @@ class LegacyICUNameAnalyzer(AbstractAnalyzer):
 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 = {}
-        self.postcode = None
-
-
-    @staticmethod
-    def _mk_array(tokens):
+    def __init__(self) -> None:
+        self.names: Optional[str] = None
+        self.housenumbers: Set[str] = set()
+        self.housenumber_tokens: Set[int] = set()
+        self.street_tokens: Optional[Set[int]] = None
+        self.place_tokens: Set[int] = set()
+        self.address_tokens: Dict[str, str] = {}
+        self.postcode: Optional[str] = None
+
+
+    def _mk_array(self, tokens: Iterable[Any]) -> str:
         return f"{{{','.join((str(s) for s in tokens))}}}"
 
 
-    def to_dict(self):
+    def to_dict(self) -> Dict[str, Any]:
         """ Return the token information in database importable format.
         """
-        out = {}
+        out: Dict[str, Any] = {}
 
         if self.names:
             out['names'] = self.names
@@ -707,7 +754,7 @@ class _TokenInfo:
             out['hnr'] = ';'.join(self.housenumbers)
             out['hnr_tokens'] = self._mk_array(self.housenumber_tokens)
 
-        if self.street_tokens:
+        if self.street_tokens is not None:
             out['street'] = self._mk_array(self.street_tokens)
 
         if self.place_tokens:
@@ -722,40 +769,43 @@ class _TokenInfo:
         return out
 
 
-    def set_names(self, fulls, partials):
+    def set_names(self, fulls: Iterable[int], partials: Iterable[int]) -> None:
         """ Adds token information for the normalised names.
         """
         self.names = self._mk_array(itertools.chain(fulls, partials))
 
 
-    def add_housenumber(self, token, hnr):
+    def add_housenumber(self, token: Optional[int], hnr: Optional[str]) -> None:
         """ Extract housenumber information from a list of normalised
             housenumbers.
         """
         if token:
+            assert hnr is not None
             self.housenumbers.add(hnr)
             self.housenumber_tokens.add(token)
 
 
-    def add_street(self, tokens):
+    def add_street(self, tokens: Iterable[int]) -> None:
         """ Add addr:street match terms.
         """
+        if self.street_tokens is None:
+            self.street_tokens = set()
         self.street_tokens.update(tokens)
 
 
-    def add_place(self, tokens):
+    def add_place(self, tokens: Iterable[int]) -> None:
         """ Add addr:place search and match terms.
         """
         self.place_tokens.update(tokens)
 
 
-    def add_address_term(self, key, partials):
+    def add_address_term(self, key: str, partials: Iterable[int]) -> None:
         """ Add additional address terms.
         """
         if partials:
             self.address_tokens[key] = self._mk_array(partials)
 
-    def set_postcode(self, postcode):
+    def set_postcode(self, postcode: Optional[str]) -> None:
         """ Set the postcode to the given one.
         """
         self.postcode = postcode
@@ -767,9 +817,9 @@ class _TokenCache:
         This cache is not thread-safe and needs to be instantiated per
         analyzer.
     """
-    def __init__(self):
-        self.names = {}
-        self.partials = {}
-        self.fulls = {}
-        self.postcodes = set()
-        self.housenumbers = {}
+    def __init__(self) -> None:
+        self.names: Dict[str, Tuple[int, List[int]]] = {}
+        self.partials: Dict[str, int] = {}
+        self.fulls: Dict[str, List[int]] = {}
+        self.postcodes: Set[str] = set()
+        self.housenumbers: Dict[str, Tuple[Optional[int], Optional[str]]] = {}