python日志记录控制台和文件输出包含重复的消息

时间:2019-10-30 06:54:19

标签: python logging flask pycharm python-logging

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都会向其中添加一条消息。

我的输出是(您可以看到重复的内容)-

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'}

我正在为此项目使用pycharm。

1 个答案:

答案 0 :(得分:0)

我在代码中发现错误,因为我已经在get_logger()中初始化了logger。因此,每次调用此函数时,它都会一次又一次创建一个新的记录器实例,并且我的消息传递给了每个记录器。

下面的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