[英]Where is a complete example of logging.config.dictConfig?
這里怎么樣! 相應的文檔參考是configuration-dictionary-schema
。
LOGGING_CONFIG = {
'version': 1,
'disable_existing_loggers': True,
'formatters': {
'standard': {
'format': '%(asctime)s [%(levelname)s] %(name)s: %(message)s'
},
},
'handlers': {
'default': {
'level': 'INFO',
'formatter': 'standard',
'class': 'logging.StreamHandler',
'stream': 'ext://sys.stdout', # Default is stderr
},
},
'loggers': {
'': { # root logger
'handlers': ['default'],
'level': 'WARNING',
'propagate': False
},
'my.packg': {
'handlers': ['default'],
'level': 'INFO',
'propagate': False
},
'__main__': { # if __name__ == '__main__'
'handlers': ['default'],
'level': 'DEBUG',
'propagate': False
},
}
}
用法:
import logging.config
# Run once at startup:
logging.config.dictConfig(LOGGING_CONFIG)
# Include in each module:
log = logging.getLogger(__name__)
log.debug("Logging is configured.")
如果您看到來自第三方包的日志過多,請務必在導入第三方包之前使用logging.config.dictConfig(LOGGING_CONFIG)
運行此配置。
要使用日志過濾器向每條日志消息添加額外的自定義信息,請考慮這個答案。
接受的答案很好! 但是,如果可以從不那么復雜的東西開始呢? 日志模塊是非常強大的東西,文檔有點壓倒性,尤其是對於新手。 但是一開始你不需要配置格式化程序和處理程序。 當你弄清楚你想要什么時,你可以添加它。
例如:
import logging.config
DEFAULT_LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'loggers': {
'': {
'level': 'INFO',
},
'another.module': {
'level': 'DEBUG',
},
}
}
logging.config.dictConfig(DEFAULT_LOGGING)
logging.info('Hello, log')
流處理程序、文件處理程序、旋轉文件處理程序和 SMTP 處理程序的示例
from logging.config import dictConfig
LOGGING_CONFIG = {
'version': 1,
'loggers': {
'': { # root logger
'level': 'NOTSET',
'handlers': ['debug_console_handler', 'info_rotating_file_handler', 'error_file_handler', 'critical_mail_handler'],
},
'my.package': {
'level': 'WARNING',
'propagate': False,
'handlers': ['info_rotating_file_handler', 'error_file_handler' ],
},
},
'handlers': {
'debug_console_handler': {
'level': 'DEBUG',
'formatter': 'info',
'class': 'logging.StreamHandler',
'stream': 'ext://sys.stdout',
},
'info_rotating_file_handler': {
'level': 'INFO',
'formatter': 'info',
'class': 'logging.handlers.RotatingFileHandler',
'filename': 'info.log',
'mode': 'a',
'maxBytes': 1048576,
'backupCount': 10
},
'error_file_handler': {
'level': 'WARNING',
'formatter': 'error',
'class': 'logging.FileHandler',
'filename': 'error.log',
'mode': 'a',
},
'critical_mail_handler': {
'level': 'CRITICAL',
'formatter': 'error',
'class': 'logging.handlers.SMTPHandler',
'mailhost' : 'localhost',
'fromaddr': 'monitoring@domain.com',
'toaddrs': ['dev@domain.com', 'qa@domain.com'],
'subject': 'Critical error with application name'
}
},
'formatters': {
'info': {
'format': '%(asctime)s-%(levelname)s-%(name)s::%(module)s|%(lineno)s:: %(message)s'
},
'error': {
'format': '%(asctime)s-%(levelname)s-%(name)s-%(process)d::%(module)s|%(lineno)s:: %(message)s'
},
},
}
dictConfig(LOGGING_CONFIG)
我在下面找到了Django v1.11.15默認配置,希望對您有所幫助
DEFAULT_LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'filters': {
'require_debug_false': {
'()': 'django.utils.log.RequireDebugFalse',
},
'require_debug_true': {
'()': 'django.utils.log.RequireDebugTrue',
},
},
'formatters': {
'django.server': {
'()': 'django.utils.log.ServerFormatter',
'format': '[%(server_time)s] %(message)s',
}
},
'handlers': {
'console': {
'level': 'INFO',
'filters': ['require_debug_true'],
'class': 'logging.StreamHandler',
},
'django.server': {
'level': 'INFO',
'class': 'logging.StreamHandler',
'formatter': 'django.server',
},
'mail_admins': {
'level': 'ERROR',
'filters': ['require_debug_false'],
'class': 'django.utils.log.AdminEmailHandler'
}
},
'loggers': {
'django': {
'handlers': ['console', 'mail_admins'],
'level': 'INFO',
},
'django.server': {
'handlers': ['django.server'],
'level': 'INFO',
'propagate': False,
},
}
}
有一個更新的例子,聲明一個 logging.config.dictConfig() 字典模式隱藏在日志手冊示例中。 從該食譜鏈接向上滾動以查看 dictConfig() 的用法。
這是一個使用 StreamHandler 和具有自定義format
和datefmt
的RotatingFileHandler
記錄到 stdout 和“logs”子目錄的示例用例。
導入模塊並建立“logs”子目錄的跨平台絕對路徑
from os.path import abspath, dirname, join import logging from logging.config import dictConfig base_dir = abspath(dirname(__file__)) logs_target = join(base_dir + "\logs", "python_logs.log")
根據字典模式文檔建立模式。
logging_schema = { # Always 1. Schema versioning may be added in a future release of logging "version": 1, # "Name of formatter" : {Formatter Config Dict} "formatters": { # Formatter Name "standard": { # class is always "logging.Formatter" "class": "logging.Formatter", # Optional: logging output format "format": "%(asctime)s\t%(levelname)s\t%(filename)s\t%(message)s", # Optional: asctime format "datefmt": "%d %b %y %H:%M:%S" } }, # Handlers use the formatter names declared above "handlers": { # Name of handler "console": { # The class of logger. A mixture of logging.config.dictConfig() and # logger class-specific keyword arguments (kwargs) are passed in here. "class": "logging.StreamHandler", # This is the formatter name declared above "formatter": "standard", "level": "INFO", # The default is stderr "stream": "ext://sys.stdout" }, # Same as the StreamHandler example above, but with different # handler-specific kwargs. "file": { "class": "logging.handlers.RotatingFileHandler", "formatter": "standard", "level": "INFO", "filename": logs_target, "mode": "a", "encoding": "utf-8", "maxBytes": 500000, "backupCount": 4 } }, # Loggers use the handler names declared above "loggers" : { "__main__": { # if __name__ == "__main__" # Use a list even if one handler is used "handlers": ["console", "file"], "level": "INFO", "propagate": False } }, # Just a standalone kwarg for the root logger "root" : { "level": "INFO", "handlers": ["file"] } }
使用字典模式配置logging
dictConfig(logging_schema)
嘗試一些測試用例,看看是否一切正常
if __name__ == "__main__": logging.info("testing an info log entry") logging.warning("testing a warning log entry")
萬一從現有記錄器的配置開始有用,可以通過以下方式獲取當前配置字典
import logging
logger = logging.getLogger()
current_config = logger.__dict__ # <-- yes, it's just the dict
print(current_config)
它會是這樣的:
{'filters': [], 'name': 'root', 'level': 30, 'parent': None, 'propagate': True, 'handlers': [], 'disabled': False, '_cache': {}}
那么,如果你只是這樣做
new_config=current_config
new_config['version']=1
new_config['name']='fubar'
new_config['level']=20
# ...and whatever other changes you wish
logging.config.dictConfig(new_config)
然后你會發現:
print(logger.__dict__)
是你所希望的
{'filters': [], 'name': 'fubar', 'level': 20, 'parent': None, 'propagate': True, 'handlers': [], 'disabled': False, '_cache': {}, 'version': 1}
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
import logging.handlers
from logging.config import dictConfig
logger = logging.getLogger(__name__)
DEFAULT_LOGGING = {
'version': 1,
'disable_existing_loggers': False,
}
def configure_logging(logfile_path):
"""
Initialize logging defaults for Project.
:param logfile_path: logfile used to the logfile
:type logfile_path: string
This function does:
- Assign INFO and DEBUG level to logger file handler and console handler
"""
dictConfig(DEFAULT_LOGGING)
default_formatter = logging.Formatter(
"[%(asctime)s] [%(levelname)s] [%(name)s] [%(funcName)s():%(lineno)s] [PID:%(process)d TID:%(thread)d] %(message)s",
"%d/%m/%Y %H:%M:%S")
file_handler = logging.handlers.RotatingFileHandler(logfile_path, maxBytes=10485760,backupCount=300, encoding='utf-8')
file_handler.setLevel(logging.INFO)
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(default_formatter)
console_handler.setFormatter(default_formatter)
logging.root.setLevel(logging.DEBUG)
logging.root.addHandler(file_handler)
logging.root.addHandler(console_handler)
[31/10/2015 22:00:33] [DEBUG] [yourmodulename] [yourfunction_name():9] [PID:61314 TID:140735248744448] this is logger infomation from hello module
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