mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-02-16 15:47:58 +00:00
776 lines
28 KiB
Python
776 lines
28 KiB
Python
# 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.
|
|
"""
|
|
import itertools
|
|
import json
|
|
import logging
|
|
from textwrap import dedent
|
|
|
|
from nominatim.db.connection import connect
|
|
from nominatim.db.utils import CopyBuffer
|
|
from nominatim.db.sql_preprocessor import SQLPreprocessor
|
|
from nominatim.data.place_info import PlaceInfo
|
|
from nominatim.tokenizer.icu_rule_loader import ICURuleLoader
|
|
from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
|
|
|
|
DBCFG_TERM_NORMALIZATION = "tokenizer_term_normalization"
|
|
|
|
LOG = logging.getLogger()
|
|
|
|
def create(dsn, data_dir):
|
|
""" Create a new instance of the tokenizer provided by this module.
|
|
"""
|
|
return LegacyICUTokenizer(dsn, data_dir)
|
|
|
|
|
|
class LegacyICUTokenizer(AbstractTokenizer):
|
|
""" This tokenizer uses libICU to covert 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):
|
|
self.dsn = dsn
|
|
self.data_dir = data_dir
|
|
self.loader = None
|
|
|
|
|
|
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
|
|
sure the tokenizer remains stable even over updates.
|
|
"""
|
|
self.loader = ICURuleLoader(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, config):
|
|
""" Initialise the tokenizer from the project directory.
|
|
"""
|
|
self.loader = ICURuleLoader(config)
|
|
|
|
with connect(self.dsn) as conn:
|
|
self.loader.load_config_from_db(conn)
|
|
|
|
self._install_php(config.lib_dir.php, 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.
|
|
"""
|
|
with connect(self.dsn) as conn:
|
|
sqlp = SQLPreprocessor(conn, config)
|
|
sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer.sql')
|
|
|
|
|
|
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)
|
|
|
|
|
|
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()
|
|
|
|
|
|
|
|
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):
|
|
""" Create a new analyzer for tokenizing names and queries
|
|
using this tokinzer. Analyzers are context managers and should
|
|
be used accordingly:
|
|
|
|
```
|
|
with tokenizer.name_analyzer() as analyzer:
|
|
analyser.tokenize()
|
|
```
|
|
|
|
When used outside the with construct, the caller must ensure to
|
|
call the close() function before destructing the analyzer.
|
|
|
|
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())
|
|
|
|
|
|
def _install_php(self, phpdir, 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(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):
|
|
""" Save the configuration that needs to remain stable for the given
|
|
database as database properties.
|
|
"""
|
|
with connect(self.dsn) as conn:
|
|
self.loader.save_config_to_db(conn)
|
|
|
|
|
|
def _init_db_tables(self, config):
|
|
""" Set up the word table and fill it with pre-computed word
|
|
frequencies.
|
|
"""
|
|
with connect(self.dsn) as conn:
|
|
sqlp = SQLPreprocessor(conn, config)
|
|
sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer_tables.sql')
|
|
conn.commit()
|
|
|
|
|
|
class LegacyICUNameAnalyzer(AbstractAnalyzer):
|
|
""" The legacy 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
|
|
self.conn.autocommit = True
|
|
self.sanitizer = sanitizer
|
|
self.token_analysis = token_analysis
|
|
|
|
self._cache = _TokenCache()
|
|
|
|
|
|
def close(self):
|
|
""" Free all resources used by the analyzer.
|
|
"""
|
|
if self.conn:
|
|
self.conn.close()
|
|
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
|
|
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.
|
|
"""
|
|
full_tokens = {}
|
|
partial_tokens = {}
|
|
for word in words:
|
|
if word.startswith('#'):
|
|
full_tokens[word] = self._search_normalized(word[1:])
|
|
else:
|
|
partial_tokens[word] = self._search_normalized(word)
|
|
|
|
with self.conn.cursor() as cur:
|
|
cur.execute("""SELECT word_token, word_id
|
|
FROM word WHERE word_token = ANY(%s) and type = 'W'
|
|
""", (list(full_tokens.values()),))
|
|
full_ids = {r[0]: r[1] for r in cur}
|
|
cur.execute("""SELECT word_token, word_id
|
|
FROM word WHERE word_token = ANY(%s) and type = 'w'""",
|
|
(list(partial_tokens.values()),))
|
|
part_ids = {r[0]: r[1] for r in cur}
|
|
|
|
return [(k, v, full_ids.get(v, None)) for k, v in full_tokens.items()] \
|
|
+ [(k, v, part_ids.get(v, None)) for k, v in partial_tokens.items()]
|
|
|
|
|
|
def normalize_postcode(self, 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.
|
|
"""
|
|
analyzer = self.token_analysis.analysis.get('@postcode')
|
|
|
|
with self.conn.cursor() as cur:
|
|
# First get all postcode names currently in the word table.
|
|
cur.execute("SELECT DISTINCT word FROM word WHERE type = 'P'")
|
|
word_entries = set((entry[0] for entry in cur))
|
|
|
|
# Then compute the required postcode names from the postcode table.
|
|
needed_entries = set()
|
|
cur.execute("SELECT country_code, postcode FROM location_postcode")
|
|
for cc, postcode in cur:
|
|
info = PlaceInfo({'country_code': cc,
|
|
'class': 'place', 'type': 'postcode',
|
|
'address': {'postcode': postcode}})
|
|
address = self.sanitizer.process_names(info)[1]
|
|
for place in address:
|
|
if place.kind == 'postcode':
|
|
if analyzer is None:
|
|
postcode_name = place.name.strip().upper()
|
|
variant_base = None
|
|
else:
|
|
postcode_name = analyzer.normalize(place.name)
|
|
variant_base = place.get_attr("variant")
|
|
|
|
if variant_base:
|
|
needed_entries.add(f'{postcode_name}@{variant_base}')
|
|
else:
|
|
needed_entries.add(postcode_name)
|
|
break
|
|
|
|
# Now update the word table.
|
|
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):
|
|
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):
|
|
if not tokens:
|
|
return
|
|
|
|
analyzer = self.token_analysis.analysis.get('@postcode')
|
|
terms = []
|
|
|
|
for postcode_name in tokens:
|
|
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)
|
|
else:
|
|
variants = [self._search_normalized(postcode_name)]
|
|
terms.append((postcode_name, variants))
|
|
|
|
if terms:
|
|
with self.conn.cursor() as cur:
|
|
cur.execute_values("""SELECT create_postcode_word(pc, var)
|
|
FROM (VALUES %s) AS v(pc, var)""",
|
|
terms)
|
|
|
|
|
|
|
|
|
|
def update_special_phrases(self, phrases, should_replace):
|
|
""" 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.
|
|
"""
|
|
norm_phrases = set(((self._normalized(p[0]), p[1], p[2], p[3])
|
|
for p in phrases))
|
|
|
|
with self.conn.cursor() as cur:
|
|
# Get the old phrases.
|
|
existing_phrases = set()
|
|
cur.execute("SELECT word, info FROM word WHERE type = 'S'")
|
|
for word, info in cur:
|
|
existing_phrases.add((word, info['class'], info['type'],
|
|
info.get('op') or '-'))
|
|
|
|
added = self._add_special_phrases(cur, norm_phrases, existing_phrases)
|
|
if should_replace:
|
|
deleted = self._remove_special_phrases(cur, norm_phrases,
|
|
existing_phrases)
|
|
else:
|
|
deleted = 0
|
|
|
|
LOG.info("Total phrases: %s. Added: %s. Deleted: %s",
|
|
len(norm_phrases), added, deleted)
|
|
|
|
|
|
def _add_special_phrases(self, cursor, new_phrases, existing_phrases):
|
|
""" Add all phrases to the database that are not yet there.
|
|
"""
|
|
to_add = new_phrases - existing_phrases
|
|
|
|
added = 0
|
|
with CopyBuffer() as copystr:
|
|
for word, cls, typ, oper in to_add:
|
|
term = self._search_normalized(word)
|
|
if term:
|
|
copystr.add(term, 'S', word,
|
|
json.dumps({'class': cls, 'type': typ,
|
|
'op': oper if oper in ('in', 'near') else None}))
|
|
added += 1
|
|
|
|
copystr.copy_out(cursor, 'word',
|
|
columns=['word_token', 'type', 'word', 'info'])
|
|
|
|
return added
|
|
|
|
|
|
@staticmethod
|
|
def _remove_special_phrases(cursor, new_phrases, existing_phrases):
|
|
""" Remove all phrases from the databse that are no longer in the
|
|
new phrase list.
|
|
"""
|
|
to_delete = existing_phrases - new_phrases
|
|
|
|
if to_delete:
|
|
cursor.execute_values(
|
|
""" DELETE FROM word USING (VALUES %s) as v(name, in_class, in_type, op)
|
|
WHERE type = 'S' and word = name
|
|
and info->>'class' = in_class and info->>'type' = in_type
|
|
and ((op = '-' and info->>'op' is null) or op = info->>'op')
|
|
""", to_delete)
|
|
|
|
return len(to_delete)
|
|
|
|
|
|
def add_country_names(self, country_code, names):
|
|
""" 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 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, coalesce(info ? 'internal', false) as is_internal
|
|
FROM word
|
|
WHERE type = 'C' and word = %s""",
|
|
(country_code, ))
|
|
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.
|
|
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-serializable structure that will be handed into
|
|
the database via the token_info field.
|
|
"""
|
|
token_info = _TokenInfo()
|
|
|
|
names, address = self.sanitizer.process_names(place)
|
|
|
|
if names:
|
|
token_info.set_names(*self._compute_name_tokens(names))
|
|
|
|
if place.is_country():
|
|
self._add_country_full_names(place.country_code, names)
|
|
|
|
if address:
|
|
self._process_place_address(token_info, address)
|
|
|
|
return token_info.to_dict()
|
|
|
|
|
|
def _process_place_address(self, token_info, address):
|
|
for item in address:
|
|
if item.kind == 'postcode':
|
|
token_info.set_postcode(self._add_postcode(item))
|
|
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', 'inclusion'):
|
|
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_tokens = set()
|
|
partial_tokens = 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)
|
|
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 = analyzer.get_variants_ascii(norm_name)
|
|
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()
|
|
|
|
self._cache.names[token_id] = (full, part)
|
|
|
|
full_tokens.add(full)
|
|
partial_tokens.update(part)
|
|
|
|
return full_tokens, partial_tokens
|
|
|
|
|
|
def _add_postcode(self, item):
|
|
""" Make sure the normalized postcode is present in the word table.
|
|
"""
|
|
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)
|
|
variant_base = item.get_attr("variant")
|
|
|
|
if variant_base:
|
|
postcode = f'{postcode_name}@{variant_base}'
|
|
else:
|
|
postcode = postcode_name
|
|
|
|
if postcode not in self._cache.postcodes:
|
|
term = self._search_normalized(postcode_name)
|
|
if not term:
|
|
return None
|
|
|
|
variants = {term}
|
|
if analyzer is not None and variant_base:
|
|
variants.update(analyzer.get_variants_ascii(variant_base))
|
|
|
|
with self.conn.cursor() as cur:
|
|
cur.execute("SELECT create_postcode_word(%s, %s)",
|
|
(postcode, list(variants)))
|
|
self._cache.postcodes.add(postcode)
|
|
|
|
return postcode_name
|
|
|
|
|
|
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):
|
|
return f"{{{','.join((str(s) for s in tokens))}}}"
|
|
|
|
|
|
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)
|
|
|
|
if self.street_tokens:
|
|
out['street'] = self._mk_array(self.street_tokens)
|
|
|
|
if self.place_tokens:
|
|
out['place'] = self._mk_array(self.place_tokens)
|
|
|
|
if self.address_tokens:
|
|
out['addr'] = self.address_tokens
|
|
|
|
if self.postcode:
|
|
out['postcode'] = self.postcode
|
|
|
|
return out
|
|
|
|
|
|
def set_names(self, fulls, partials):
|
|
""" Adds token information for the normalised names.
|
|
"""
|
|
self.names = self._mk_array(itertools.chain(fulls, partials))
|
|
|
|
|
|
def add_housenumber(self, token, hnr):
|
|
""" Extract housenumber information from a list of normalised
|
|
housenumbers.
|
|
"""
|
|
if token:
|
|
self.housenumbers.add(hnr)
|
|
self.housenumber_tokens.add(token)
|
|
|
|
|
|
def add_street(self, tokens):
|
|
""" Add addr:street match terms.
|
|
"""
|
|
self.street_tokens.update(tokens)
|
|
|
|
|
|
def add_place(self, tokens):
|
|
""" Add addr:place search and match terms.
|
|
"""
|
|
self.place_tokens.update(tokens)
|
|
|
|
|
|
def add_address_term(self, key, partials):
|
|
""" Add additional address terms.
|
|
"""
|
|
if partials:
|
|
self.address_tokens[key] = self._mk_array(partials)
|
|
|
|
def set_postcode(self, postcode):
|
|
""" Set the postcode to the given one.
|
|
"""
|
|
self.postcode = postcode
|
|
|
|
|
|
class _TokenCache:
|
|
""" Cache for token information to avoid repeated database queries.
|
|
|
|
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 = {}
|