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logging

python的logging主要有四个组件:

  • logger: 日志类,应用程序往往通过调用它提供的api来记录日志;
  • handler: 对日志信息处理,可以将日志发送(保存)到不同的目标域中;
  • filter: 对日志信息进行过滤;
  • formatter:日志的格式化;

logging是线程安全的。

通过logging.basicConfig函数对日志的输出格式及方式做相关配置

# -*- coding: utf-8 -*-
import logging

logging.basicConfig(level=logging.DEBUG,
                    format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
                    datefmt='%a, %d %b %Y %H:%M:%S',
                    filename='test.log',
                    filemode='w')

logging.debug('This is debug message')
logging.info('This is info message')
logging.warning('This is warning message')

当前目录下test.log内容:

Tue, 07 Feb 2017 19:51:36 python-logging.py[line:10] DEBUG This is debug message
Tue, 07 Feb 2017 19:51:36 python-logging.py[line:11] INFO This is info message
Tue, 07 Feb 2017 19:51:36 python-logging.py[line:12] WARNING This is warning message

logging.basicConfig函数各参数:

  • filename: 指定日志文件名
  • filemode: 和file函数意义相同,指定日志文件的打开模式,'w'或'a'
  • format: 指定输出的格式和内容,format可以输出很多有用信息,如上例所示:
    • %(levelno)s: 打印日志级别的数值
    • %(levelname)s: 打印日志级别名称
    • %(pathname)s: 打印当前执行程序的路径,其实就是sys.argv[0]
    • %(filename)s: 打印当前执行程序名
    • %(funcName)s: 打印日志的当前函数
    • %(lineno)d: 打印日志的当前行号
    • %(asctime)s: 打印日志的时间
    • %(thread)d: 打印线程ID
    • %(threadName)s: 打印线程名称
    • %(process)d: 打印进程ID
    • %(message)s: 打印日志信息
  • datefmt: 指定时间格式,同time.strftime()
  • level: 设置日志级别,默认为logging.WARNING
  • stream: 指定将日志的输出流,可以指定输出到sys.stderr,sys.stdout或者文件,默认输出到sys.stderr,当stream和filename同时指定时,stream被忽略

将日志同时输出到文件和屏幕

# -*- coding: utf-8 -*-
import logging

logging.basicConfig(level=logging.DEBUG,
                    format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
                    datefmt='%a, %d %b %Y %H:%M:%S',
                    filename='test.log',
                    filemode='w')

#################################################################################################
# 定义一个StreamHandler,将INFO级别或更高的日志信息打印到标准错误,并将其添加到当前的日志处理对象
console = logging.StreamHandler()
console.setLevel(logging.INFO)
formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s')
console.setFormatter(formatter)
logging.getLogger('').addHandler(console)
#################################################################################################

logging.debug('This is debug message')
logging.info('This is info message')
logging.warning('This is warning message')

当前目录下test.log内容:

Tue, 07 Feb 2017 19:56:23 python-logging.py[line:19] DEBUG This is debug message
Tue, 07 Feb 2017 19:56:23 python-logging.py[line:20] INFO This is info message
Tue, 07 Feb 2017 19:56:23 python-logging.py[line:21] WARNING This is warning message

控制台输出:

root        : INFO     This is info message
root        : WARNING  This is warning message

日志回滚

# -*- coding: utf-8 -*-
import logging
from logging.handlers import RotatingFileHandler

#################################################################################################
# 定义一个RotatingFileHandler,最多备份5个日志文件,每个日志文件最大10M
r_handler = RotatingFileHandler('test.log', maxBytes=10*1024*1024, backupCount=5)
r_handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s')
r_handler.setFormatter(formatter)
logging.getLogger('').addHandler(r_handler)

通过logging.config模块配置日志

#logger.conf
###############################################
[loggers]
keys=root,example01,example02

[logger_root]
level=DEBUG
handlers=hand01,hand02

[logger_example01]
handlers=hand01,hand02
qualname=example01
propagate=0

[logger_example02]
handlers=hand01,hand03
qualname=example02
propagate=0
###############################################
[handlers]
keys=hand01,hand02,hand03

[handler_hand01]
class=StreamHandler
level=INFO
formatter=form02
args=(sys.stderr,)

[handler_hand02]
class=FileHandler
level=DEBUG
formatter=form01
args=('test.log', 'a')

[handler_hand03]
class=handlers.RotatingFileHandler
level=INFO
formatter=form02
args=('test.log', 'a', 10*1024*1024, 5)
###############################################
[formatters]
keys=form01,form02

[formatter_form01]
format=%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s
datefmt=%a, %d %b %Y %H:%M:%S

[formatter_form02]
format=%(name)-12s: %(levelname)-8s %(message)s
datefmt=%a, %d %b %Y %H:%M:%S

将日志同时输出到文件和屏幕的例子:

# -*- coding: utf-8 -*-

import logging.config

logging.config.fileConfig("logger.conf")
logger = logging.getLogger("example01")

logger.debug('This is debug message')
logger.info('This is info message')
logger.warning('This is warning message')

日志回滚的例子:

# -*- coding: utf-8 -*-

import logging.config

logging.config.fileConfig("logger.conf")
logger = logging.getLogger("example02")

logger.debug('This is debug message')
logger.info('This is info message')
logger.warning('This is warning message')

项目中配置日志模板

项目根目录logger.json

{
  "version": 1,
  "disable_existing_loggers": false,
  "formatters": {
    "standard": {
      "format": "[%(asctime)s] [%(levelname)s]  [%(module)s:%(lineno)d]  [%(thread)d] %(message)s"
    }
  },
  "handlers": {
    "default": {
      "level": "INFO",
      "formatter": "standard",
      "class": "logging.handlers.TimedRotatingFileHandler",
      "filename": "./server.log",
      "when": "midnight",
      "interval": 1
    },
    "streamerror": {
      "formatter": "standard",
      "class": "logging.StreamHandler",
      "level": "INFO",
      "stream": "ext://sys.stdout"
    }
  },
  "loggers": {
    "": {
      "handlers": [
        "default", "streamerror"
      ],
      "level": "DEBUG",
      "propagate": true
    }
  }
}

项目根目录的 __init__.py

#!/bin/env python

import os
import json
import logging
import logging.config
from . import definition


def init():
    with open(os.path.join(definition.ROOT_DIR, 'logger.json')) as f:
        logging.config.dictConfig(json.loads(f.read()))


init()

项目根目录的 definition.py

#!/bin/env python
# -*- coding: utf-8 -*-

import os

ROOT_DIR = os.path.dirname(os.path.abspath(__file__))  # Project Root Directory
STAT_DIR = os.path.join(ROOT_DIR, 'statistics')
DB_DIR = os.path.join(ROOT_DIR, 'db')

项目中使用日志模块:

import logging

logger = logging.getLogger(__name__)

 logger.info('xxx')