import psutil
import psycopg2.extras
+from psycopg2 import sql as pysql
from nominatim.db.connection import connect, get_pg_env
from nominatim.db import utils as db_utils
if drop:
conn.drop_table('planet_osm_nodes')
- if drop:
- if options['flatnode_file']:
- Path(options['flatnode_file']).unlink()
+ if drop and options['flatnode_file']:
+ Path(options['flatnode_file']).unlink()
def create_tables(conn, config, reverse_only=False):
conn.commit()
-_COPY_COLUMNS = 'osm_type, osm_id, class, type, name, admin_level, address, extratags, geometry'
+
+_COPY_COLUMNS = pysql.SQL(',').join(map(pysql.Identifier,
+ ('osm_type', 'osm_id', 'class', 'type',
+ 'name', 'admin_level', 'address',
+ 'extratags', 'geometry')))
+
def load_data(dsn, threads):
""" Copy data into the word and placex table.
for imod in range(place_threads):
conn = DBConnection(dsn)
conn.connect()
- conn.perform("""INSERT INTO placex ({0})
- SELECT {0} FROM place
- WHERE osm_id % {1} = {2}
- AND NOT (class='place' and (type='houses' or type='postcode'))
- AND ST_IsValid(geometry)
- """.format(_COPY_COLUMNS, place_threads, imod))
+ conn.perform(
+ pysql.SQL("""INSERT INTO placex ({columns})
+ SELECT {columns} FROM place
+ WHERE osm_id % {total} = {mod}
+ AND NOT (class='place' and (type='houses' or type='postcode'))
+ AND ST_IsValid(geometry)
+ """).format(columns=_COPY_COLUMNS,
+ total=pysql.Literal(place_threads),
+ mod=pysql.Literal(imod)))
sel.register(conn, selectors.EVENT_READ, conn)
# Address interpolations go into another table.
sql.run_sql_file(conn, 'indices.sql', drop=drop)
+
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
def _include_key(key):
return key == 'name' or \
- (key.startswith('name:') \
- and (not languages or key[5:] in languages))
+ (key.startswith('name:') and (not languages or key[5:] in languages))
with conn.cursor() as cur:
psycopg2.extras.register_hstore(cur)
with tokenizer.name_analyzer() as analyzer:
for code, name in cur:
- names = [code]
+ names = {'countrycode': code}
if code == 'gb':
- names.append('UK')
+ names['short_name'] = 'UK'
if code == 'us':
- names.append('United States')
+ names['short_name'] = 'United States'
# country names (only in languages as provided)
if name:
- names.extend((v for k, v in name.items() if _include_key(k)))
+ names.update(((k, v) for k, v in name.items() if _include_key(k)))
analyzer.add_country_names(code, names)