日志打印之自定义logger handler
#实践环境
WIN 10
Python 3.6.5
#实践代码
handler.py
代码语言：javascript复制#!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
@Author : shouke
'''
import logging
import logging.config
class MyLogHandler(logging.Handler, object):
"""
自定义日志handler
"""
def __init__(self, name, other_attr=None, **kwargs):
logging.Handler.__init__(self)
print('初始化自定义日志处理器：', name)
print('其它属性值：', other_attr)
def emit(self, record):
"""
emit函数为自定义handler类时必重写的函数，这里可以根据需要对日志消息做一些处理，比如发送日志到服务器
发出记录(Emit a record)
"""
try:
msg = self.format(record)
print('获取到的消息为：', msg)
for item in dir(record):
if item in ['process', 'processName', 'thread', 'threadName']:
print(item, '：', getattr(record, item))
except Exception:
self.handleError(record)
# 测试
logging.basicConfig()
logger = logging.getLogger("logger")
logger.setLevel(logging.INFO)
my_log_handler = MyLogHandler('LoggerHandler')
logger.addHandler(my_log_handler)
logger.info('hello，shouke')
运行handler.py，结果输出如下
初始化自定义日志处理器： LoggerHandler
其它属性值： None
获取到的消息为： hello，shouke
process ： 27932
processName ： MainProcess
thread ： 45464
threadName ： MainThread
INFO:logger:hello，shouke#通过字典配置添加自定义handler
mytest.py(与handler.py位于同一层级目录)
代码语言：javascript复制#!/usr/bin/env python
# -*- coding:utf-8 -*-
#
#
# '''
# @CreateTime: 2020/12/29 14:08
# @Author : shouke
# '''
#
import logging
import logging.config
LOGGING_CONFIG = {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"default": {
"format":"%(asctime)s %(filename)s %(lineno)s %(levelname)s ： %(message)s",
},
"plain": {
"format": "%(message)s",
}
},
"handlers": {
"customer_handler":{
"class":"study.MyLogHandler",
"formatter":"default",
# 注意，class，formatter，level，filters之外的参数将默认传递给由class指定类的构造函数
"name":"LoggerHandler",
"other_attr":"something others"
},
"console": {
"class": "logging.StreamHandler",
"formatter": "default",
},
},
"loggers": {
"customer_logger":{
"handlers": ["customer_handler", "console"],
"level": logging.INFO,
"propagate": False,
}
}
}
logging.config.dictConfig(LOGGING_CONFIG)
logger = logging.getLogger('customer_logger')
logger.info('hello，shouke')
运行mytest.py，输出结果如下
初始化自定义日志处理器： LoggerHandler
其它属性值： something others
获取到的消息为： 2021-01-01 17:51:54,661 mytest.py 48 INFO ： hello，shouke
process ： 36280
processName ： MainProcess
thread ： 37316
threadName ： MainThread
INFO:logger:hello，shouke
2021-01-01 17:51:54,661 mytest5.py 48 INFO ： hello，shouke。##问题：为什么mytest.py中的代码，不能放在study.py中？
如下，在study.py模块，MyLogHandler类之后追加下述代码
代码语言：javascript复制LOGGING_CONFIG = {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"default": {
"format":"%(asctime)s %(filename)s %(lineno)s %(levelname)s ： %(message)s",
}
},
"handlers": {
"customer_handler":{
"class":"study.MyLogHandler",
"formatter":"default",
"name":"LoggerHandler",
"other_attr":"something others"
}
},
"loggers": {
"customer_logger":{
"handlers": ["customer_handler"],
"level": logging.INFO,
"propagate": False,
}
}
}
logging.config.dictConfig(LOGGING_CONFIG)
logger = logging.getLogger('customer_logger')
logger.info('hello，shouke')
运行mytest.py，输出结果如下
初始化自定义日志处理器： LoggerHandler
其它属性值： something others
获取到的消息为： 2021-01-09 10:48:24,090 study.py 66 INFO ： hello，shouke
process ： 17276
processName ： MainProcess
thread ： 14516
threadName ： MainThread
初始化自定义日志处理器： LoggerHandler
其它属性值： something others
获取到的消息为： 2021-01-09 10:48:24,090 study.py 66 INFO ： hello，shouke
process ： 17276
processName ： MainProcess
thread ： 14516
threadName ： MainThread如上，可以看到，自定义类构造函数被重复执行，日志消息被重复处理
##原因分析
logging.config.dictConfig(config)函数内部调用了DictConfigurator(config).configure()，而configure函数内DictConfigurator部，根据incremental，handlers等当前日志配置，被执行的分支代码中，会调用
DictConfigurator类实例的configure_handler()方法，该方法中，根据当前配置，又会再次调用DictConfigurator类实例的resolve(self, s)方法，参数s接收handler中class配置项目的值。具体代码如下：
代码语言：javascript复制class DictConfigurator(BaseConfigurator):
# ... 略
def resolve(self, s):
"""
Resolve strings to objects using standard import and attribute
syntax.
"""
name = s.split('.') # 本例中，s为study.MyLogHandler
used = name.pop(0) # used 为study
try:
found = self.importer(used) # 这里importer = staticmethod(__import__) # 所以此处代码等同于__import__(used) # 这里导入自定义日志处理器所在模块会导致模块中的logging.config.dictConfig(config)代码再次被执行
for frag in name:
used = '.' frag
try:
found = getattr(found, frag)
except AttributeError:
self.importer(used)
found = getattr(found, frag)
return found
except ImportError:
e, tb = sys.exc_info()[1:]
v = ValueError('Cannot resolve %r: %s' % (s, e))
v.__cause__, v.__traceback__ = e, tb
raise v
def configure_formatter(self, config):
"""Configure a formatter from a dictionary."""
if '()' in config:
factory = config['()'] # for use in exception handler
try:
result = self.configure_custom(config)
except TypeError as te:
if "'format'" not in str(te):
raise
#Name of parameter changed from fmt to format.
#Retry with old name.
#This is so that code can be used with older Python versions
#(e.g. by Django)
config['fmt'] = config.pop('format')
config['()'] = factory
result = self.configure_custom(config)
else:
fmt = config.get('format', None)
dfmt = config.get('datefmt', None)
style = config.get('style', '%')
cname = config.get('class', None)
if not cname:
c = logging.Formatter
else:
c = _resolve(cname)
result = c(fmt, dfmt, style)
return result
# ... 略
def configure_handler(self, config):
"""Configure a handler from a dictionary."""
config_copy = dict(config) # for restoring in case of error
formatter = config.pop('formatter', None)
if formatter:
try:
formatter = self.config['formatters'][formatter]
except Exception as e:
raise ValueError('Unable to set formatter '
'%r: %s' % (formatter, e))
level = config.pop('level', None)
filters = config.pop('filters', None)
if '()' in config:
c = config.pop('()')
if not callable(c):
c = self.resolve(c)
factory = c
else:
cname = config.pop('class')
klass = self.resolve(cname)
#Special case for handler which refers to another handler
if issubclass(klass, logging.handlers.MemoryHandler) and
'target' in config:
try:
th = self.config['handlers'][config['target']]
if not isinstance(th, logging.Handler):
config.update(config_copy) # restore for deferred cfg
raise TypeError('target not configured yet')
config['target'] = th
except Exception as e:
raise ValueError('Unable to set target handler '
'%r: %s' % (config['target'], e))
elif issubclass(klass, logging.handlers.SMTPHandler) and
'mailhost' in config:
config['mailhost'] = self.as_tuple(config['mailhost'])
elif issubclass(klass, logging.handlers.SysLogHandler) and
'address' in config:
config['address'] = self.as_tuple(config['address'])
factory = klass
props = config.pop('.', None)
kwargs = dict([(k, config[k]) for k in config if valid_ident(k)])
try:
result = factory(**kwargs)
except TypeError as te:
if "'stream'" not in str(te):
raise
#The argument name changed from strm to stream
#Retry with old name.
#This is so that code can be used with older Python versions
#(e.g. by Django)
kwargs['strm'] = kwargs.pop('stream')
result = factory(**kwargs)
if formatter:
result.setFormatter(formatter)
if level is not None:
result.setLevel(logging._checkLevel(level))
if filters:
self.add_filters(result, filters)
if props:
for name, value in props.items():
setattr(result, name, value)
return result至此，logging.config.dictConfig(config)放自定义日志处理类模块中，导致自定义日志处理类重复被执行的原因已经清楚了。
configure函数内部，根据incremental，handlers等当前日志配置，被执行的分支代码中，也可能执行DictConfigurator类实例的configure_formatter()方法，类似的，该方法中也会调用一个名为_resolve的方法，具体代码如下
代码语言：javascript复制def _resolve(name):
"""Resolve a dotted name to a global object."""
name = name.split('.')
used = name.pop(0)
found = __import__(used)
for n in name:
used = used '.' n
try:
found = getattr(found, n)
except AttributeError:
__import__(used)
found = getattr(found, n)
return found如果自定义Formatter，把logging.config.dictConfig(config)放自定义日志格式化类模块中，也可能导致重复执行
