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dictConfig (config) Takes the logging configuration from a dictionary. The contents of this dictionary are described in Configuration dictionary schema below.
As a part of this example, we have created a configuration file named file_config1. conf which will be used to configure logging. We have defined a single logger named root inside of the configuration file.
The config() method of a Logger class used to Log an config message. This method is used to pass config types logs to all the registered output Handler objects. Config Level: Configuration Information may be like what CPU the application is running on, how much is the disk and memory space.
The qualname is what your. # python module will use to get its logger via. # diablo = logging.getLogger('diablo') # # The default for any loggers that are not specified below.
How about here! The corresponding documentation reference is 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
},
}
}
Usage:
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.")
In case you see too many logs from third-party packages, be sure to run this config using logging.config.dictConfig(LOGGING_CONFIG) before the third-party packages are imported.
To add additional custom info to each log message using a logging filter, consider this answer.
The accepted answer is nice! But what if one could begin with something less complex? The logging module is very powerful thing and the documentation is kind of a little bit overwhelming especially for novice. But for the beginning you don't need to configure formatters and handlers. You can add it when you figure out what you want.
For example:
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')
Example with Stream Handler, File Handler, Rotating File Handler and SMTP Handler
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': '[email protected]',
'toaddrs': ['[email protected]', '[email protected]'],
'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)
I found Django v1.11.15 default config below, hope it helps
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,
},
}
}
There's an updated example of declaring a logging.config.dictConfig() dictionary schema buried in the logging cookbook examples. Scroll up from that cookbook link to see a use of dictConfig().
Here's an example use case for logging to both stdout and a "logs" subdirectory using a StreamHandler and RotatingFileHandler with customized format and datefmt.
Imports modules and establish a cross-platform absolute path to the "logs" subdirectory
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")
Establish the schema according to the dictionary schema documentation.
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"]
}
}
Configure logging with the dictionary schema
dictConfig(logging_schema)
Try some test cases to see if everything is working properly
if __name__ == "__main__":
logging.info("testing an info log entry")
logging.warning("testing a warning log entry")
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