+# 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.
"""
import logging
import re
import shutil
+from textwrap import dedent
from icu import Transliterator
import psycopg2
from nominatim.db import utils as db_utils
from nominatim.db.sql_preprocessor import SQLPreprocessor
from nominatim.errors import UsageError
+from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
DBCFG_NORMALIZATION = "tokenizer_normalization"
DBCFG_MAXWORDFREQ = "tokenizer_maxwordfreq"
raise UsageError("Database module cannot be accessed.") from err
-class LegacyTokenizer:
+class LegacyTokenizer(AbstractTokenizer):
""" The legacy tokenizer uses a special PostgreSQL module to normalize
names and queries. The tokenizer thus implements normalization through
calls to the database.
self.normalization = None
- def init_new_db(self, config):
+ def init_new_db(self, config, init_db=True):
""" Set up a new tokenizer for the database.
This copies all necessary data in the project directory to make
self.normalization = config.TERM_NORMALIZATION
+ self._install_php(config, overwrite=True)
+
with connect(self.dsn) as conn:
_check_module(module_dir, conn)
self._save_config(conn, config)
conn.commit()
- self.update_sql_functions(config)
- self._init_db_tables(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.
"""
with connect(self.dsn) as conn:
self.normalization = properties.get_property(conn, DBCFG_NORMALIZATION)
+ if not (config.project_dir / 'module' / 'nominatim.so').exists():
+ _install_module(config.DATABASE_MODULE_PATH,
+ config.lib_dir.module,
+ config.project_dir / 'module')
+
+ self._install_php(config, overwrite=False)
+
+ 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.
modulepath=modulepath)
+ def check_database(self, _):
+ """ Check that the tokenizer is set up correctly.
+ """
+ hint = """\
+ The Postgresql extension nominatim.so was not correctly loaded.
+
+ Error: {error}
+
+ Hints:
+ * Check the output of the CMmake/make installation step
+ * Does nominatim.so exist?
+ * Does nominatim.so exist on the database server?
+ * Can nominatim.so be accessed by the database user?
+ """
+ with connect(self.dsn) as conn:
+ with conn.cursor() as cur:
+ try:
+ out = cur.scalar("SELECT make_standard_name('a')")
+ except psycopg2.Error as err:
+ return hint.format(error=str(err))
+
+ if out != 'a':
+ return hint.format(error='Unexpected result for make_standard_name()')
+
+ return None
+
+
def migrate_database(self, config):
""" Initialise the project directory of an existing database for
use with this tokenizer.
self._save_config(conn, config)
+ def update_statistics(self):
+ """ Recompute the frequency of full 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 search_name_count = count
+ FROM word_frequencies
+ WHERE word_token like ' %' and word_id = id""")
+ cur.drop_table("word_frequencies")
+ conn.commit()
+
+
+ def update_word_tokens(self):
+ """ No house-keeping implemented for the legacy tokenizer.
+ """
+ LOG.info("No tokenizer clean-up available.")
+
+
def name_analyzer(self):
""" Create a new analyzer for tokenizing names and queries
using this tokinzer. Analyzers are context managers and should
return LegacyNameAnalyzer(self.dsn, normalizer)
+ def _install_php(self, config, overwrite=True):
+ """ Install the php script for the tokenizer.
+ """
+ php_file = self.data_dir / "tokenizer.php"
+
+ if not php_file.exists() or overwrite:
+ php_file.write_text(dedent("""\
+ <?php
+ @define('CONST_Max_Word_Frequency', {0.MAX_WORD_FREQUENCY});
+ @define('CONST_Term_Normalization_Rules', "{0.TERM_NORMALIZATION}");
+ require_once('{0.lib_dir.php}/tokenizer/legacy_tokenizer.php');
+ """.format(config)))
+
+
def _init_db_tables(self, config):
""" Set up the word table and fill it with pre-computed word
frequencies.
properties.set_property(conn, DBCFG_MAXWORDFREQ, config.MAX_WORD_FREQUENCY)
-class LegacyNameAnalyzer:
+class LegacyNameAnalyzer(AbstractAnalyzer):
""" The legacy analyzer uses the special Postgresql module for
splitting names.
self._cache = _TokenCache(self.conn)
- def __enter__(self):
- return self
-
-
- def __exit__(self, exc_type, exc_value, traceback):
- self.close()
-
-
def close(self):
""" Free all resources used by the analyzer.
"""
self.conn = None
+ 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
+ otherwise is a partial name.
+
+ The function returns a list of tuples with
+ (original word, word token, word id).
+
+ The function is used for testing and debugging only
+ and not necessarily efficient.
+ """
+ with self.conn.cursor() as cur:
+ cur.execute("""SELECT t.term, word_token, word_id
+ FROM word, (SELECT unnest(%s::TEXT[]) as term) t
+ WHERE word_token = (CASE
+ WHEN left(t.term, 1) = '#' THEN
+ ' ' || make_standard_name(substring(t.term from 2))
+ ELSE
+ make_standard_name(t.term)
+ END)
+ and class is null and country_code is null""",
+ (words, ))
+
+ return [(r[0], r[1], r[2]) for r in cur]
+
+
def normalize(self, phrase):
""" Normalize the given phrase, i.e. remove all properties that
are irrelevant for search.
return self.normalizer.transliterate(phrase)
- def add_postcodes_from_db(self):
- """ Add postcodes from the location_postcode table to the word table.
+ @staticmethod
+ def normalize_postcode(postcode):
+ """ Convert the postcode to a standardized form.
+
+ This function must yield exactly the same result as the SQL function
+ 'token_normalized_postcode()'.
+ """
+ return postcode.strip().upper()
+
+
+ def update_postcodes_from_db(self):
+ """ Update postcode tokens in the word table from the location_postcode
+ table.
"""
with self.conn.cursor() as cur:
- cur.execute("""SELECT count(create_postcode_id(pc))
- FROM (SELECT distinct(postcode) as pc
- FROM location_postcode) x""")
+ # This finds us the rows in location_postcode and word that are
+ # missing in the other table.
+ cur.execute("""SELECT * FROM
+ (SELECT pc, word FROM
+ (SELECT distinct(postcode) as pc FROM location_postcode) p
+ FULL JOIN
+ (SELECT word FROM word
+ WHERE class ='place' and type = 'postcode') w
+ ON pc = word) x
+ WHERE pc is null or word is null""")
+
+ to_delete = []
+ to_add = []
+
+ for postcode, word in cur:
+ if postcode is None:
+ to_delete.append(word)
+ else:
+ to_add.append(postcode)
+ if to_delete:
+ cur.execute("""DELETE FROM WORD
+ WHERE class ='place' and type = 'postcode'
+ and word = any(%s)
+ """, (to_delete, ))
+ if to_add:
+ cur.execute("""SELECT count(create_postcode_id(pc))
+ FROM unnest(%s) as pc
+ """, (to_add, ))
- def update_special_phrases(self, phrases):
+
+
+ def update_special_phrases(self, phrases, should_replace):
""" Replace the search index for special phrases with the new phrases.
"""
norm_phrases = set(((self.normalize(p[0]), p[1], p[2], p[3])
to_delete = existing_phrases - norm_phrases
if to_add:
- psycopg2.extras.execute_values(
- cur,
+ cur.execute_values(
""" INSERT INTO word (word_id, word_token, word, class, type,
search_name_count, operator)
- (SELECT nextval('seq_word'), make_standard_name(name), name,
+ (SELECT nextval('seq_word'), ' ' || make_standard_name(name), name,
class, type, 0,
CASE WHEN op in ('in', 'near') THEN op ELSE null END
FROM (VALUES %s) as v(name, class, type, op))""",
to_add)
- if to_delete:
- psycopg2.extras.execute_values(
- cur,
+ if to_delete and should_replace:
+ cur.execute_values(
""" DELETE FROM word USING (VALUES %s) as v(name, in_class, in_type, op)
WHERE word = name and class = in_class and type = in_type
and ((op = '-' and operator is null) or op = operator)""",
cur.execute(
"""INSERT INTO word (word_id, word_token, country_code)
(SELECT nextval('seq_word'), lookup_token, %s
- FROM (SELECT ' ' || make_standard_name(n) as lookup_token
+ FROM (SELECT DISTINCT ' ' || make_standard_name(n) as lookup_token
FROM unnest(%s)n) y
WHERE NOT EXISTS(SELECT * FROM word
WHERE word_token = lookup_token and country_code = %s))
- """, (country_code, names, country_code))
+ """, (country_code, list(names.values()), country_code))
def process_place(self, place):
"""
token_info = _TokenInfo(self._cache)
- names = place.get('name')
+ names = place.name
if names:
token_info.add_names(self.conn, 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(), list(names.values()))
-
- address = place.get('address')
+ if place.is_country():
+ self.add_country_names(place.country_code, names)
+ address = place.address
if 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.conn, value)
- elif key == 'place':
- token_info.add_place(self.conn, value)
- elif not key.startswith('_') and \
- key not in ('country', 'full'):
- addr_terms.append((key, value))
-
- if hnrs:
- token_info.add_housenumbers(self.conn, hnrs)
-
- if addr_terms:
- token_info.add_address_terms(self.conn, addr_terms)
+ self._process_place_address(token_info, address)
return token_info.data
- def _add_postcode(self, postcode):
- """ Make sure the normalized postcode is present in the word table.
- """
- def _create_postcode_from_db(pcode):
- with self.conn.cursor() as cur:
- cur.execute('SELECT create_postcode_id(%s)', (pcode, ))
+ def _process_place_address(self, token_info, address):
+ hnrs = []
+ addr_terms = []
+
+ for key, value in address.items():
+ if key == 'postcode':
+ # Make sure the normalized postcode is present in the word table.
+ if re.search(r'[:,;]', value) is None:
+ self._cache.add_postcode(self.conn,
+ self.normalize_postcode(value))
+ elif key in ('housenumber', 'streetnumber', 'conscriptionnumber'):
+ hnrs.append(value)
+ elif key == 'street':
+ token_info.add_street(self.conn, value)
+ elif key == 'place':
+ token_info.add_place(self.conn, value)
+ elif not key.startswith('_') and key not in ('country', 'full'):
+ addr_terms.append((key, value))
+
+ if hnrs:
+ token_info.add_housenumbers(self.conn, hnrs)
+
+ if addr_terms:
+ token_info.add_address_terms(self.conn, addr_terms)
- if re.search(r'[:,;]', postcode) is None:
- self._cache.postcodes.get(postcode.strip().upper(), _create_postcode_from_db)
class _TokenInfo:
simple_list = list(set(simple_list))
with conn.cursor() as cur:
- cur.execute("SELECT (create_housenumbers(%s)).* ", (simple_list, ))
+ cur.execute("SELECT * FROM create_housenumbers(%s)", (simple_list, ))
self.data['hnr_tokens'], self.data['hnr'] = cur.fetchone()
with conn.cursor() as cur:
return cur.scalar("SELECT word_ids_from_name(%s)::text", (name, ))
- self.data['street'] = self.cache.streets.get(street, _get_street)
+ tokens = self.cache.streets.get(street, _get_street)
+ if tokens:
+ self.data['street'] = tokens
def add_place(self, conn, place):
"""
def _get_place(name):
with conn.cursor() as cur:
- cur.execute("""SELECT (addr_ids_from_name(%s)
- || getorcreate_name_id(make_standard_name(%s), ''))::text,
+ cur.execute("""SELECT make_keywords(hstore('name' , %s))::text,
word_ids_from_name(%s)::text""",
- (name, name, name))
+ (name, name))
return cur.fetchone()
self.data['place_search'], self.data['place_match'] = \
tokens = {}
for key, value in terms:
- tokens[key] = self.cache.address_terms.get(value, _get_address_term)
+ items = self.cache.address_terms.get(value, _get_address_term)
+ if items[0] or items[1]:
+ tokens[key] = items
- self.data['addr'] = tokens
+ if tokens:
+ self.data['addr'] = tokens
class _LRU:
with conn.cursor() as cur:
cur.execute("""SELECT i, ARRAY[getorcreate_housenumber_id(i::text)]::text
FROM generate_series(1, 100) as i""")
- self._cached_housenumbers = {str(r[0]) : r[1] for r in cur}
+ self._cached_housenumbers = {str(r[0]): r[1] for r in cur}
- # Get postcodes that are already saved
- postcodes = OrderedDict()
- with conn.cursor() as cur:
- cur.execute("""SELECT word FROM word
- WHERE class ='place' and type = 'postcode'""")
- for row in cur:
- postcodes[row[0]] = None
- self.postcodes = _LRU(maxsize=32, init_data=postcodes)
+ # For postcodes remember the ones that have already been added
+ self.postcodes = set()
def get_housenumber(self, number):
""" Get a housenumber token from the cache.
"""
return self._cached_housenumbers.get(number)
+
+
+ def add_postcode(self, conn, postcode):
+ """ Make sure the given postcode is in the database.
+ """
+ if postcode not in self.postcodes:
+ with conn.cursor() as cur:
+ cur.execute('SELECT create_postcode_id(%s)', (postcode, ))
+ self.postcodes.add(postcode)
projects / nominatim.git / blobdiff