add CSV format for importance import

This commit is contained in:
Sarah Hoffmann
2024-05-05 09:39:52 +02:00
parent 5c7073901e
commit 60b03d506f
6 changed files with 167 additions and 39 deletions

View File

@@ -8,6 +8,8 @@
Functions for bringing auxiliary data in the database up-to-date.
"""
from typing import MutableSequence, Tuple, Any, Type, Mapping, Sequence, List, cast
import csv
import gzip
import logging
from textwrap import dedent
from pathlib import Path
@@ -16,7 +18,7 @@ from psycopg2 import sql as pysql
from nominatim.config import Configuration
from nominatim.db.connection import Connection, connect
from nominatim.db.utils import execute_file
from nominatim.db.utils import execute_file, CopyBuffer
from nominatim.db.sql_preprocessor import SQLPreprocessor
from nominatim.version import NOMINATIM_VERSION
@@ -132,21 +134,89 @@ def import_wikipedia_articles(dsn: str, data_path: Path, ignore_errors: bool = F
Returns 0 if all was well and 1 if the importance file could not
be found. Throws an exception if there was an error reading the file.
"""
datafile = data_path / 'wikimedia-importance.sql.gz'
if import_importance_csv(dsn, data_path / 'wikimedia-importance.csv.gz') == 0 \
or import_importance_sql(dsn, data_path / 'wikimedia-importance.sql.gz',
ignore_errors) == 0:
return 0
if not datafile.exists():
return 1
def import_importance_csv(dsn: str, data_file: Path) -> int:
""" Replace wikipedia importance table with data from a
single CSV file.
The file must be a gzipped CSV and have the following columns:
language, title, importance, wikidata_id
Other columns may be present but will be ignored.
"""
if not data_file.exists():
return 1
# Only import the first occurance of a wikidata ID.
# This keeps indexes and table small.
wd_done = set()
with connect(dsn) as conn:
with conn.cursor() as cur:
cur.drop_table('wikipedia_article')
cur.drop_table('wikipedia_redirect')
cur.drop_table('wikimedia_importance')
cur.execute("""CREATE TABLE wikimedia_importance (
language TEXT NOT NULL,
title TEXT NOT NULL,
importance double precision NOT NULL,
wikidata TEXT
) """)
with gzip.open(str(data_file), 'rt') as fd, CopyBuffer() as buf:
for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
wd_id = int(row['wikidata_id'][1:])
buf.add(row['language'], row['title'], row['importance'],
None if wd_id in wd_done else row['wikidata_id'])
wd_done.add(wd_id)
if buf.size() > 10000000:
with conn.cursor() as cur:
buf.copy_out(cur, 'wikimedia_importance',
columns=['language', 'title', 'importance',
'wikidata'])
with conn.cursor() as cur:
buf.copy_out(cur, 'wikimedia_importance',
columns=['language', 'title', 'importance', 'wikidata'])
with conn.cursor() as cur:
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_title
ON wikimedia_importance (title)""")
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_wikidata
ON wikimedia_importance (wikidata)
WHERE wikidata is not null""")
conn.commit()
return 0
def import_importance_sql(dsn: str, data_file: Path, ignore_errors: bool) -> int:
""" Replace wikipedia importance table with data from an SQL file.
"""
if not data_file.exists():
return 1
pre_code = """BEGIN;
DROP TABLE IF EXISTS "wikipedia_article";
DROP TABLE IF EXISTS "wikipedia_redirect"
DROP TABLE IF EXISTS "wikipedia_redirect";
DROP TABLE IF EXISTS "wikipedia_importance";
"""
post_code = "COMMIT"
execute_file(dsn, datafile, ignore_errors=ignore_errors,
execute_file(dsn, data_file, ignore_errors=ignore_errors,
pre_code=pre_code, post_code=post_code)
return 0
def import_secondary_importance(dsn: str, data_path: Path, ignore_errors: bool = False) -> int:
""" Replaces the secondary importance raster data table with new data.