Python - 格式化查询，其中排除包含从 a.txt 文件解析的字符串的行？

Question

因此，我在过滤 BigQuery 上的错误日志表时遇到了一些问题，即排除了包含 a.txt 文件中的项目的任何错误消息。 我一直在尝试这种方式：

def get_errors(client, since):
    """
    Get the  log errors and warnings since the given since datetime

    :type client: bigquery.Client
    :param client: bigquery Client object to carry out the needed tasks
    :type since: datetime
    :param since: The datetime since when to collect error records
    :rtype: Generator[Dict[str, Any]]
    :return: Yield error records
    """
    
    if since.weekday() == 0:
        since = since - timedelta(days=2)
    # Open unlaunched_clistings.txt, read each line, reformat / to __ and . to _
    with open('unlaunched_clistings.txt', 'r+') as f:
            unlaunched_clistings = f.read().replace('/', '__').replace('.', '_').splitlines()
    # query to exclude rows with messages containing those unlaunched clistings
            for course in unlaunched_clistings:
                query = """ select * from {p}.simeon_logs.process_errors e
                        where e.timestamp >= '{s}'
                        and e.message not like '%{c}%'
                        and e.severity in ('ERROR','WARNING','FATAL', 'CRITICAL')
                        and e.program not in ('SIMEON-GEOIP')
                        order by e.timestamp 
                    """
                fsince = since.strftime('%Y-%m-%d %H:%M:%S')
                job = client.query(query.format(p=client.project, s=fsince, c=course))
            for row in job.result():
                yield {k:v for k, v in row.items()}
    f.close()

有没有一种干净的方法来格式化从 .txt 文件中排除的字符串？