from pathlib import Path
import psutil
+import psycopg2.extras
from nominatim.db.connection import connect, get_pg_env
from nominatim.db import utils as db_utils
sql.run_sql_file(conn, 'partition-tables.src.sql')
-def truncate_data_tables(conn, max_word_frequency=None):
+def truncate_data_tables(conn):
""" Truncate all data tables to prepare for a fresh load.
"""
with conn.cursor() as cur:
- cur.execute('TRUNCATE word')
cur.execute('TRUNCATE placex')
cur.execute('TRUNCATE place_addressline')
cur.execute('TRUNCATE location_area')
for table in [r[0] for r in list(cur)]:
cur.execute('TRUNCATE ' + table)
- if max_word_frequency is not None:
- # Used by getorcreate_word_id to ignore frequent partial words.
- cur.execute("""CREATE OR REPLACE FUNCTION get_maxwordfreq()
- RETURNS integer AS $$
- SELECT {} as maxwordfreq;
- $$ LANGUAGE SQL IMMUTABLE
- """.format(max_word_frequency))
- conn.commit()
+ conn.commit()
_COPY_COLUMNS = 'osm_type, osm_id, class, type, name, admin_level, address, extratags, geometry'
-def load_data(dsn, data_dir, threads):
+def load_data(dsn, threads):
""" Copy data into the word and placex table.
"""
- # Pre-calculate the most important terms in the word list.
- db_utils.execute_file(dsn, data_dir / 'words.sql')
-
sel = selectors.DefaultSelector()
# Then copy data from place to placex in <threads - 1> chunks.
place_threads = max(1, threads - 1)
sql.run_sql_file(conn, 'indices.sql', drop=drop)
-def create_country_names(conn, config):
- """ Create search index for default country names.
+def create_country_names(conn, tokenizer, languages=None):
+ """ Add default country names to search index. `languages` is a comma-
+ separated list of language codes as used in OSM. If `languages` is not
+ empty then only name translations for the given languages are added
+ to the index.
"""
+ if languages:
+ languages = languages.split(',')
+
+ def _include_key(key):
+ return key == 'name' or \
+ (key.startswith('name:') \
+ and (not languages or key[5:] in languages))
with conn.cursor() as cur:
- cur.execute("""SELECT getorcreate_country(make_standard_name('uk'), 'gb')""")
- cur.execute("""SELECT getorcreate_country(make_standard_name('united states'), 'us')""")
- cur.execute("""SELECT COUNT(*) FROM
- (SELECT getorcreate_country(make_standard_name(country_code),
- country_code) FROM country_name WHERE country_code is not null) AS x""")
- cur.execute("""SELECT COUNT(*) FROM
- (SELECT getorcreate_country(make_standard_name(name->'name'), country_code)
- FROM country_name WHERE name ? 'name') AS x""")
- sql_statement = """SELECT COUNT(*) FROM (SELECT getorcreate_country(make_standard_name(v),
- country_code) FROM (SELECT country_code, skeys(name)
- AS k, svals(name) AS v FROM country_name) x WHERE k"""
-
- languages = config.LANGUAGES
-
- if languages:
- sql_statement = "{} IN (".format(sql_statement)
- delim = ''
- for language in languages.split(','):
- sql_statement = "{}{}'name:{}'".format(sql_statement, delim, language)
- delim = ', '
- sql_statement = '{})'.format(sql_statement)
- else:
- sql_statement = "{} LIKE 'name:%'".format(sql_statement)
- sql_statement = "{}) v".format(sql_statement)
- cur.execute(sql_statement)
+ psycopg2.extras.register_hstore(cur)
+ cur.execute("""SELECT country_code, name FROM country_name
+ WHERE country_code is not null""")
+
+ with tokenizer.name_analyzer() as analyzer:
+ for code, name in cur:
+ names = [code]
+ if code == 'gb':
+ names.append('UK')
+ if code == 'us':
+ names.append('United States')
+
+ # country names (only in languages as provided)
+ if name:
+ names.extend((v for k, v in name.items() if _include_key(k)))
+
+ analyzer.add_country_names(code, names)
+
conn.commit()