import psycopg2 import csv from psycopg2 import sql from datetime import datetime def format_datetime(value): if isinstance(value, datetime): return value.strftime('%Y-%m-%d %H:%M:%S') return value def export_table_to_csv(host, port, database, user, password, main_table, related_table, related_column, csv_file_path): try: # データベースに接続 conn = psycopg2.connect( host=host, port=port, database=database, user=user, password=password ) cur = conn.cursor() # メインテーブルの列情報を取得(user_idを除く) cur.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table))) main_columns = [desc[0] for desc in cur.description if desc[0] != 'member_id'] # クエリを作成(列名を明確に指定) query = sql.SQL(""" SELECT {main_columns}, {related_table}.name FROM {main_table} LEFT JOIN {related_table} ON {main_table}.member_id = {related_table}.id """).format( main_columns=sql.SQL(', ').join([sql.SQL("{}.{}").format(sql.Identifier(main_table), sql.Identifier(col)) for col in main_columns]), main_table=sql.Identifier(main_table), related_table=sql.Identifier(related_table) ) cur.execute(query) # 列名を再構成(nameを2番目に配置) column_names = [main_columns[0], 'name'] + main_columns[1:] rows = cur.fetchall() with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile: csvwriter = csv.writer(csvfile) csvwriter.writerow(column_names) for row in rows: # nameを2番目に移動 formatted_row = [format_datetime(row[0])] + [row[-1]] + [format_datetime(field) if field is not None else '' for field in row[1:-1]] csvwriter.writerow(formatted_row) print(f"テーブル '{main_table}' の内容を '{csv_file_path}' に出力しました。") except (Exception, psycopg2.Error) as error: print("エラーが発生しました:", error) finally: if conn: cur.close() conn.close() print("データベース接続を閉じました。") # 使用例 host = "192.168.1.220" port = "12245" database = "dislocker" user = "suti7" password = "Testing1234" main_table = "pc_usage_history" related_table = "club_member" related_column = "name" # 例: 登録者の名前を表示したい場合 csv_file_path = "output.csv" export_table_to_csv(host, port, database, user, password, main_table, related_table, related_column, csv_file_path)