内存泄漏：通过CloudLoggingHandler增加Ram使用率

Question

我正在使用Flask（python 2），并且添加了如下的mylog：

def my_enqueue(self, record, message, resource=None, labels=None, trace=None, span_id=None):
    queue_entry = {
        "info": {"message": message, "python_logger": record.name},
        "severity": _helpers._normalize_severity(record.levelno),
        "resource": resource,
        "labels": labels,
        "trace": trace,
        "span_id": span_id,
        "timestamp": datetime.datetime.utcfromtimestamp(record.created),
    }
    # if 'custom_fields' in record:
    # if getattr(record, "extra", None):
    if session:
        user_id = "Anonymous"
        if "user_id" in session:
            user_id = session['user_id']

        extra = {
            "url": request.path,
            "method": request.method,
            "ip": request.environ.get("REMOTE_ADDR"),
            "user_id": user_id,
            
        }
        queue_entry['info']['extra'] = extra
        print(11)

    self._queue.put_nowait(queue_entry)

_Worker.enqueue = my_enqueue
client = google.cloud.logging.Client()

def mylog(msg, level="info", name=None):
    try:
    if not name:
        name = inspect.stack()[1][3]
    handler = CloudLoggingHandler(client, name=name)

    cloud_logger = logging.getLogger('cloudLogger')
    cloud_logger.setLevel(logging.INFO)
    cloud_logger.handlers = []
    cloud_logger.addHandler(handler)

    if level == "info":
        cloud_logger.info(msg)  # API call
    if level == "error":
        cloud_logger.error(msg)  # API call

except Exception, e:
    print("Error mylog")
    print(e)

我在一个全天连续运行的脚本中使用mylog。每天，最终，我不得不终止脚本，然后减少RAM使用量。否则，由于RAM使用量增加，系统将崩溃。我尝试运行相同的脚本而不进行日志记录，并且没有增加RAM使用率。

能告诉我我在这里犯了什么错误，这样它就不会吃光所有RAM。