Python logging添加布尔过滤器报错：'bool' object is not callable

配置代码 #

import logging

# create and configure main logger
logger = logging.getLogger(__name__)
# create console handler with a higher log level
handler = logging.StreamHandler()
handler.setLevel(logging.DEBUG)
# create formatter and add it to the handler
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
secret_filter = False#SecretFilter()
handler.setFormatter(formatter)
# add the handler to the logger
handler.addFilter(secret_filter)  # prevent logging of secrets

for hdlr in logger.handlers[:]:  # remove the existing file handlers
     if isinstance(hdlr, logging.FileHandler):
         logger.removeHandler(hdlr)

logger.addHandler(handler)
logger.setLevel(logging.DEBUG)

执行代码 #

logger.info('setting up logger, done')

报错及现象 #

控制台重复输出5次日志后抛出错误：

2023-12-18 10:20:45,581 - __main__ - INFO - setting up logger, done
2023-12-18 10:20:45,581 - __main__ - INFO - setting up logger, done
2023-12-18 10:20:45,581 - __main__ - INFO - setting up logger, done
2023-12-18 10:20:45,581 - __main__ - INFO - setting up logger, done
2023-12-18 10:20:45,581 - __main__ - INFO - setting up logger, done
Traceback (most recent call last):

  Cell In[27], line 1
    logger.info('setting up logger, done')

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:1489 in info
    self._log(INFO, msg, args, **kwargs)

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:1634 in _log
    self.handle(record)

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:1644 in handle
    self.callHandlers(record)

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:1706 in callHandlers
    hdlr.handle(record)

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:974 in handle
    rv = self.filter(record)

  File ~\AppData\Local\anaconda3\envs\prod-env-shap\Lib\logging\__init__.py:832 in filter
    result = f(record) # assume callable - will raise if not

TypeError: 'bool' object is not callable

环境版本 #

python 3.11.5
pandas 2.1.4
holidays 0.29
scikit-learn 1.3.0
jaydebeapi 1.2.3
boto3 1.29.1

解决方案 #

1. 修复TypeError：bool对象不可调用 #

handler.addFilter()要求传入可调用对象（比如实现filter方法的类实例，或接收日志记录参数并返回bool值的函数），你传入的secret_filter = False是布尔值，不属于可调用对象，直接触发报错。

两种解决方式：

• 若暂时不需要过滤功能，直接注释掉handler.addFilter(secret_filter)这一行；
• 若需实现SecretFilter，自定义继承logging.Filter的类，示例：

class SecretFilter(logging.Filter):
    def filter(self, record):
        # 自定义过滤逻辑，示例：屏蔽包含"secret"的日志内容
        return "secret" not in record.getMessage().lower()

# 替换原secret_filter赋值
secret_filter = SecretFilter()
handler.addFilter(secret_filter)

2. 修复重复日志输出问题 #

重复输出是因为每次运行配置代码时，都会给logger新增StreamHandler，但你只移除了FileHandler，旧的StreamHandler未被清理，导致多个handler同时输出日志。

修改代码，在添加新handler前移除所有已有handler：

# 替换原仅移除FileHandler的循环
for hdlr in logger.handlers[:]:
    logger.removeHandler(hdlr)

最终修正后的完整代码 #

import logging

class SecretFilter(logging.Filter):
    def filter(self, record):
        # 自定义过滤逻辑，可根据需求修改
        return "secret" not in record.getMessage().lower()

# create and configure main logger
logger = logging.getLogger(__name__)

# 移除所有已有handler，避免重复输出
for hdlr in logger.handlers[:]:
    logger.removeHandler(hdlr)

# create console handler with a higher log level
handler = logging.StreamHandler()
handler.setLevel(logging.DEBUG)
# create formatter and add it to the handler
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)

# 添加自定义过滤器（不需要则注释）
secret_filter = SecretFilter()
handler.addFilter(secret_filter)

# add the handler to the logger
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)

内容的提问来源于stack exchange，提问作者Sade