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https://github.com/osm-search/Nominatim.git
synced 2026-02-26 11:08:13 +00:00
add CSV format for importance import
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@@ -8,6 +8,8 @@
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Functions for bringing auxiliary data in the database up-to-date.
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"""
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from typing import MutableSequence, Tuple, Any, Type, Mapping, Sequence, List, cast
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import csv
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import gzip
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import logging
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from textwrap import dedent
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from pathlib import Path
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@@ -16,7 +18,7 @@ from psycopg2 import sql as pysql
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from nominatim.config import Configuration
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from nominatim.db.connection import Connection, connect
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from nominatim.db.utils import execute_file
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from nominatim.db.utils import execute_file, CopyBuffer
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from nominatim.db.sql_preprocessor import SQLPreprocessor
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from nominatim.version import NOMINATIM_VERSION
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@@ -132,21 +134,89 @@ def import_wikipedia_articles(dsn: str, data_path: Path, ignore_errors: bool = F
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Returns 0 if all was well and 1 if the importance file could not
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be found. Throws an exception if there was an error reading the file.
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"""
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datafile = data_path / 'wikimedia-importance.sql.gz'
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if import_importance_csv(dsn, data_path / 'wikimedia-importance.csv.gz') == 0 \
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or import_importance_sql(dsn, data_path / 'wikimedia-importance.sql.gz',
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ignore_errors) == 0:
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return 0
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if not datafile.exists():
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return 1
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def import_importance_csv(dsn: str, data_file: Path) -> int:
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""" Replace wikipedia importance table with data from a
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single CSV file.
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The file must be a gzipped CSV and have the following columns:
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language, title, importance, wikidata_id
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Other columns may be present but will be ignored.
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"""
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if not data_file.exists():
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return 1
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# Only import the first occurance of a wikidata ID.
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# This keeps indexes and table small.
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wd_done = set()
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with connect(dsn) as conn:
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with conn.cursor() as cur:
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cur.drop_table('wikipedia_article')
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cur.drop_table('wikipedia_redirect')
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cur.drop_table('wikimedia_importance')
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cur.execute("""CREATE TABLE wikimedia_importance (
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language TEXT NOT NULL,
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title TEXT NOT NULL,
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importance double precision NOT NULL,
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wikidata TEXT
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) """)
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with gzip.open(str(data_file), 'rt') as fd, CopyBuffer() as buf:
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for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
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wd_id = int(row['wikidata_id'][1:])
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buf.add(row['language'], row['title'], row['importance'],
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None if wd_id in wd_done else row['wikidata_id'])
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wd_done.add(wd_id)
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if buf.size() > 10000000:
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with conn.cursor() as cur:
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buf.copy_out(cur, 'wikimedia_importance',
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columns=['language', 'title', 'importance',
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'wikidata'])
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with conn.cursor() as cur:
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buf.copy_out(cur, 'wikimedia_importance',
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columns=['language', 'title', 'importance', 'wikidata'])
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with conn.cursor() as cur:
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cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_title
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ON wikimedia_importance (title)""")
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cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_wikidata
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ON wikimedia_importance (wikidata)
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WHERE wikidata is not null""")
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conn.commit()
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return 0
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def import_importance_sql(dsn: str, data_file: Path, ignore_errors: bool) -> int:
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""" Replace wikipedia importance table with data from an SQL file.
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"""
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if not data_file.exists():
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return 1
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pre_code = """BEGIN;
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DROP TABLE IF EXISTS "wikipedia_article";
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DROP TABLE IF EXISTS "wikipedia_redirect"
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DROP TABLE IF EXISTS "wikipedia_redirect";
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DROP TABLE IF EXISTS "wikipedia_importance";
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"""
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post_code = "COMMIT"
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execute_file(dsn, datafile, ignore_errors=ignore_errors,
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execute_file(dsn, data_file, ignore_errors=ignore_errors,
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pre_code=pre_code, post_code=post_code)
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return 0
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def import_secondary_importance(dsn: str, data_path: Path, ignore_errors: bool = False) -> int:
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""" Replaces the secondary importance raster data table with new data.
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