[转]scrapy中的logging

logging模块是Python提供的自己的程序日志记录模块。

在大型软件使用过程中，出现的错误有时候很难进行重现，因此需要通过分析日志来确认错误位置，这也是写程序时要使用日志的最重要的原因。

scrapy使用python内置的logging模块记录日志

1. logging.CRITICAL - for critical errors (highest severity)

2. logging.ERROR - for regular errors

3. logging.WARNING - for warning messages

4. logging.INFO - for informational messages

5. logging.DEBUG - for debugging messages (lowest severity)

1.简单使用方法

import logging

Logging.warning(“this is a test ”)

执行结果：

2.通用的记录日志的方法，可加入日志的级别

import logging

Logging.log(logging.WARNING,”this is a warning”)

3，通过logger记录日志

import logging

logger=logging.getLogger(_name_)

Logger.warning(“this is a warning”)

Scrapy provides a logger within each Spider instance, that can be accessed and used like this:

import scrapy

class MySpider(scrapy.Spider):

name = 'myspider'

start_urls = ['http://scrapinghub.com']

def parse(self, response):

self.logger.info('Parse function called on %s', response.url)

That logger is created using the Spider’s name, but you can use any custom Python logger you want. For example:

import logging import scrapy

logger = logging.getLogger('mycustomlogger')

class MySpider(scrapy.Spider):

name = 'myspider'

start_urls = ['http://scrapinghub.com']

def parse(self, response):

logger.info('Parse function called on %s', response.url)

These settings can be used to configure the logging:

• LOG_FILE

• LOG_ENABLED

• LOG_ENCODING

• LOG_LEVEL

• LOG_FORMAT

• LOG_DATEFORMAT

• LOG_STDOUT