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4、scrapy内置服务

4、scrapy内置服务

作者: ifeelok0319 | 来源:发表于2017-06-30 19:55 被阅读39次

本篇介绍scrapy的Logging模块、Stats Collections模块和Sending-email模块。

Logging

简单使用方法

import logging


logging.warning("This is a Warning")

执行结果为:

WARNING:root:This is a Warning

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")

通用logger记录日志

import logging


logger = logging.getLogger(__name__)
logger.warning("This is a Warning")

运行结果:

WARNING:main:This is a warning

在scrapy中使用logging

import scrapy


class MySpider(scrapy.Spider):

    name = 'myspider'
    start_urls = ['http://scrapyinghub.com']

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

settings中设置log

  • LOG_FILE
  • LOG_ENABLE
  • LOG_ENCODING
  • LOG_LEVEL
  • LOG_FORMAT
  • lOG_DATEFORMAT
  • lOG_STDOUT

Stats Collections

使用方法(待学习)

class ExtensionThatAccessStats(object):

    def __init__(self, stats):
        self.stats = stats

    @classmethod
    def from_crawler(cls, crawler):
        return cls(crawler.stats)

scrapy内置的stats Collections

  • class scrapy.statscollectors.MemoryStatsCollector(linux)
  • class scrapy.statscollectors.DummyStatsCollector

Sending-email

通用使用方法

from scrapy.mail import MailSender


mailer = MailSender()
# mailer = MailSender.from_settings(settins)

mailer.send(to=["someone@example.com"], subject="Some subject", body="Some body", cc=["another.example.com"])

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