python日志控制台和文件输出包含重复的消息答案

【问题标题】：python Logging console and file output contains repeated messagepython日志控制台和文件输出包含重复的消息
【发布时间】：2020-02-25 10:27:24
【问题描述】：

我已经为 python-flask 项目实现了日志记录，为此我创建了一个带有代码的模块 logging_manager -

file_formatter = logging.Formatter(
    '%(asctime)s - %(filename)s -  %(funcName)s - %(lineno)i - %(levelname)s - %(message)s')
console_formatter = logging.Formatter(
    '%(asctime)s - %(filename)s -  %(funcName)s - %(lineno)i - %(levelname)s - %(message)s')

file_log_level = logging.DEBUG
console_log_level = logging.WARNING
root_logging_level = logging.INFO

logName = "main.log"
fileNamePrefix = settings.ROOT_DIR + '/logs/'
fileMaxBytes = 4e+6
backUpCount = 1
encoding = 'utf8'

def get_logger():

    logger = logging.getLogger(logName)

    filehandler = handlers.RotatingFileHandler(fileNamePrefix + logName,
                                               maxBytes=fileMaxBytes, backupCount=backUpCount,
                                               encoding=encoding)
    filehandler.setFormatter(file_formatter)
    filehandler.setLevel(file_log_level)
    logger.addHandler(filehandler)

    consolehandler = logging.StreamHandler(stream=sys.stdout)
    consolehandler.setFormatter(console_formatter)
    consolehandler.setLevel(console_log_level)
    logger.addHandler(consolehandler)

    logger.setLevel(root_logging_level)

    return logger

并通过从 logging_manager 导入记录器在我的 python 脚本中使用它。

from logging_manager import get_logger
get_logger().error("wrong file type provided")

每次调用 get_logger 时都会向其添加额外的一条消息。

我的输出是（你可以看到重复） -

2019-10-09 13:42:35,591 - fabric_api.py -  post - 32 - INFO - Fabric classification Model Triggered
2019-10-09 13:42:35,605 - fabric_api.py -  post - 38 - INFO - Started processing file - 7c6d4400-e002-11e9-984e-a86daadb0edd.png
2019-10-09 13:42:35,605 - fabric_api.py -  post - 38 - INFO - Started processing file - 7c6d4400-e002-11e9-984e-a86daadb0edd.png
2019-10-09 13:42:35,606 - fabric_api.py -  post - 45 - INFO - saved image to location - E:\1570608755.6064117c6d4400-e002-11e9-984e-a86daadb0edd.png
2019-10-09 13:42:35,606 - fabric_api.py -  post - 45 - INFO - saved image to location - E:\1570608755.6064117c6d4400-e002-11e9-984e-a86daadb0edd.png
2019-10-09 13:42:35,606 - fabric_api.py -  post - 45 - INFO - saved image to location - E:\1570608755.6064117c6d4400-e002-11e9-984e-a86daadb0edd.png
2019-10-09 13:42:46,167 - fabric_api.py -  post - 54 - INFO - Completed fabric detection with result - {'image': '7c6d4400-e002-11e9-984e-a86daadb0edd.png', 'confidence_score': '0.9986871', 'predicted_class': 'Cotton'}
2019-10-09 13:42:46,167 - fabric_api.py -  post - 54 - INFO - Completed fabric detection with result - {'image': '7c6d4400-e002-11e9-984e-a86daadb0edd.png', 'confidence_score': '0.9986871', 'predicted_class': 'Cotton'}
2019-10-09 13:42:46,167 - fabric_api.py -  post - 54 - INFO - Completed fabric detection with result - {'image': '7c6d4400-e002-11e9-984e-a86daadb0edd.png', 'confidence_score': '0.9986871', 'predicted_class': 'Cotton'}
2019-10-09 13:42:46,167 - fabric_api.py -  post - 54 - INFO - Completed fabric detection with result - {'image': '7c6d4400-e002-11e9-984e-a86daadb0edd.png', 'confidence_score': '0.9986871', 'predicted_class': 'Cotton'}

我在这个项目中使用 pycharm。

【问题讨论】：

标签： python logging flask pycharm python-logging

【解决方案1】：

我在代码中发现了错误，我在 get_logger() 中初始化了记录器。所以，每次我调用这个函数时，它都会一次又一次地创建一个新的记录器实例，并且我的消息被传递给每个记录器。

以下修改解决了我的问题-

logName = "main.log"
fileNamePrefix = settings.ROOT_DIR + '/logs/'
fileMaxBytes = 4e+6
backUpCount = 1
encoding = 'utf8'

logger = logging.getLogger(logName)

filehandler = handlers.RotatingFileHandler(fileNamePrefix + logName,
                                               maxBytes=fileMaxBytes, backupCount=backUpCount,
                                               encoding=encoding)
filehandler.setFormatter(file_formatter)
filehandler.setLevel(file_log_level)
logger.addHandler(filehandler)

consolehandler = logging.StreamHandler(stream=sys.stdout)
consolehandler.setFormatter(console_formatter)
consolehandler.setLevel(console_log_level)
logger.addHandler(consolehandler)

logger.setLevel(root_logging_level)

def get_logger():

    return logger

【讨论】：