scrapy工作原理探秘
def _next_request_from_scheduler(self, spider):#engine从调度器取得下一个request
slot = self.slot
request = slot.scheduler.next_request()
if not request:
return
d = self._download(request, spider)#登记一个下载,返回deferred对象
d.addBoth(self._handle_downloader_output, request, spider)
d.addErrback(lambda f: logger.info('Error while handling downloader output',
exc_info=failure_to_exc_info(f),
extra={'spider': spider}))
d.addBoth(lambda _: slot.remove_request(request))#引擎的slot移除该请求
d.addErrback(lambda f: logger.info('Error while removing request from slot',
exc_info=failure_to_exc_info(f),
extra={'spider': spider}))
d.addBoth(lambda _: slot.nextcall.schedule())#再次调度
d.addErrback(lambda f: logger.info('Error while scheduling new request',
exc_info=failure_to_exc_info(f),
extra={'spider': spider}))
return d def _handle_downloader_output(self, response, request, spider):
assert isinstance(response, (Request, Response, Failure)), response
# downloader middleware can return requests (for example, redirects)
if isinstance(response, Request):
self.crawl(response, spider)#在slot的队列中放置一个请求
return
# response is a Response or Failure
d = self.scraper.enqueue_scrape(response, request, spider)#输出的延迟对象
d.addErrback(lambda f: logger.error('Error while enqueuing downloader output',
exc_info=failure_to_exc_info(f),
extra={'spider': spider}))
return d
每个请求对象的延迟对象经过_handle_downloader_output处理后,又会返回一个延迟对象。
def enqueue_scrape(self, response, request, spider):
slot = self.slot
dfd = slot.add_response_request(response, request)#在scraper的queue中添加(response, request,defer)
def finish_scraping(_):
slot.finish_response(response, request)
self._check_if_closing(spider, slot)
self._scrape_next(spider, slot)
return _
dfd.addBoth(finish_scraping)
dfd.addErrback(
lambda f: logger.error('Scraper bug processing %(request)s',
{'request': request},
exc_info=failure_to_exc_info(f),
extra={'spider': spider}))
self._scrape_next(spider, slot)
return dfd def _scrape_next(self, spider, slot):
while slot.queue:
response, request, deferred = slot.next_response_request_deferred()
self._scrape(response, request, spider).chainDeferred(deferred) def _scrape(self, response, request, spider):
"""Handle the downloaded response or failure through the spider
callback/errback"""
assert isinstance(response, (Response, Failure)) dfd = self._scrape2(response, request, spider) # returns spiders processed output
dfd.addErrback(self.handle_spider_error, request, response, spider)
dfd.addCallback(self.handle_spider_output, request, response, spider)
return dfd def _scrape2(self, request_result, request, spider):
"""Handle the different cases of request's result been a Response or a
Failure"""
if not isinstance(request_result, Failure):#当结果不是失败对象
return self.spidermw.scrape_response(
self.call_spider, request_result, request, spider)#
else:
# FIXME: don't ignore errors in spider middleware
dfd = self.call_spider(request_result, request, spider)
return dfd.addErrback(
self._log_download_errors, request_result, request, spider) def call_spider(self, result, request, spider):
result.request = request
dfd = defer_result(result)
dfd.addCallbacks(request.callback or spider.parse, request.errback)
return dfd.addCallback(iterate_spider_output)#addCallback方法会返回一个defer
iterate_spider_output(scrapy/util/spider.py) def iterate_spider_output(result):
return arg_to_iter(result) #from scrapy.utils.misc import arg_to_iter
def arg_to_iter(arg):
"""Convert an argument to an iterable. The argument can be a None, single
value, or an iterable. Exception: if arg is a dict, [arg] will be returned
"""
if arg is None:
return []
elif not isinstance(arg, _ITERABLE_SINGLE_VALUES) and hasattr(arg, '__iter__'):
return arg
else:
return [arg]
class SpiderMiddlewareManager(MiddlewareManager):
component_name = 'spider middleware'
@classmethod
def _get_mwlist_from_settings(cls, settings):
return build_component_list(settings.getwithbase('SPIDER_MIDDLEWARES'))
def _add_middleware(self, mw):
super(SpiderMiddlewareManager, self)._add_middleware(mw)
if hasattr(mw, 'process_spider_input'):
self.methods['process_spider_input'].append(mw.process_spider_input)
if hasattr(mw, 'process_spider_output'):
self.methods['process_spider_output'].insert(0, mw.process_spider_output)
if hasattr(mw, 'process_spider_exception'):
self.methods['process_spider_exception'].insert(0, mw.process_spider_exception)
if hasattr(mw, 'process_start_requests'):
self.methods['process_start_requests'].insert(0, mw.process_start_requests)
def scrape_response(self, scrape_func, response, request, spider):
fname = lambda f:'%s.%s' % (
six.get_method_self(f).__class__.__name__,
six.get_method_function(f).__name__)
def process_spider_input(response):
for method in self.methods['process_spider_input']:
try:
result = method(response=response, spider=spider)
assert result is None, \
'Middleware %s must returns None or ' \
'raise an exception, got %s ' \
% (fname(method), type(result))
except:
return scrape_func(Failure(), request, spider)
return scrape_func(response, request, spider)
def process_spider_exception(_failure):
exception = _failure.value
for method in self.methods['process_spider_exception']:
result = method(response=response, exception=exception, spider=spider)
assert result is None or _isiterable(result), \
'Middleware %s must returns None, or an iterable object, got %s ' % \
(fname(method), type(result))
if result is not None:
return result
return _failure
def process_spider_output(result):
for method in self.methods['process_spider_output']:
result = method(response=response, result=result, spider=spider)
assert _isiterable(result), \
'Middleware %s must returns an iterable object, got %s ' % \
(fname(method), type(result))
return result
dfd = mustbe_deferred(process_spider_input, response)
dfd.addErrback(process_spider_exception)
dfd.addCallback(process_spider_output)
return dfd
def process_start_requests(self, start_requests, spider):
return self._process_chain('process_start_requests', start_requests, spider)
def handle_spider_output(self, result, request, response, spider):
if not result:
return defer_succeed(None)
it = iter_errback(result, self.handle_spider_error, request, response, spider)
dfd = parallel(it, self.concurrent_items,
self._process_spidermw_output, request, response, spider)
return dfd def _process_spidermw_output(self, output, request, response, spider):#把生成的请求放到scheduler
"""Process each Request/Item (given in the output parameter) returned
from the given spider
"""
if isinstance(output, Request):#如果输出是请求,继续爬行
self.crawler.engine.crawl(request=output, spider=spider)
elif isinstance(output, (BaseItem, dict)):#是item,进行保存
self.slot.itemproc_size += 1
dfd = self.itemproc.process_item(output, spider)
dfd.addBoth(self._itemproc_finished, output, response, spider)
return dfd
elif output is None:
pass
else:
typename = type(output).__name__
logger.error('Spider must return Request, BaseItem, dict or None, '
'got %(typename)r in %(request)s',
{'request': request, 'typename': typename},
extra={'spider': spider})
engine的crawl函数
def crawl(self, request, spider):
assert spider in self.open_spiders, \
"Spider %r not opened when crawling: %s" % (spider.name, request)
self.schedule(request, spider)
self.slot.nextcall.schedule() def schedule(self, request, spider):
self.signals.send_catch_log(signal=signals.request_scheduled,
request=request, spider=spider)
if not self.slot.scheduler.enqueue_request(request):
self.signals.send_catch_log(signal=signals.request_dropped,
request=request, spider=spider)
reactor.callLater(delay, self)通过timer触发deferred对象的callback。
scrapy工作原理探秘的更多相关文章
- Scrapy工作原理
目录 1. Scrapy旧版架构图(绿线是数据流向) 2. Scrapy新版架构图 1. 组件介绍 2. 数据流(Data Flow) 3. 使用Scrapy框架爬虫的重要命令 4. Middlewa ...
- scrapy工作原理概述
当运行scrapy crawl spider 时,会生成一个crawl命令对象,scrapy是调用execute函数(cmdlin.py)来执行命令的,execute函数会给命令对象添加crawler ...
- 一篇文章教会你理解Scrapy网络爬虫框架的工作原理和数据采集过程
今天小编给大家详细的讲解一下Scrapy爬虫框架,希望对大家的学习有帮助. 1.Scrapy爬虫框架 Scrapy是一个使用Python编程语言编写的爬虫框架,任何人都可以根据自己的需求进行修改,并且 ...
- How Javascript works (Javascript工作原理) (十五) 类和继承及 Babel 和 TypeScript 代码转换探秘
个人总结:读完这篇文章需要15分钟,文章主要讲解了Babel和TypeScript的工作原理,(例如对es6 类的转换,是将原始es6代码转换为es5代码,这些代码中包含着类似于 _classCall ...
- Scrapy 框架结构及工作原理
1.下图为 Scrapy 框架的组成结构,并从数据流的角度揭示 Scrapy 的工作原理 2.首先.简单了解一下 Scrapy 框架中的各个组件 组 件 描 述 类 型 EN ...
- scrapy框架结构与工作原理
组件: ENGINE:引擎,框架的核心,其他组件在其控制下协同工作. SCHEDULER:调度器,负责对SPIDER提交的下载请求进行调度 DOWNLOADER:下载器,负责下载页面,发送HTTP请求 ...
- Python爬虫-Scrapy框架的工作原理
Scrapy框架工作原理 Scrapy框架架构图 Scrapy框架主要由六大组件组成,分别为: 调度器(Scheduler),下载器(Downler),爬虫(Spiders),中间件(Middwa ...
- How Javascript works (Javascript工作原理) (十二) 网络层探秘及如何提高其性能和安全性
个人总结:阅读完这篇文章需要20分钟,这篇文章主要讲解了现代浏览器在网络层传输所用到的一些技术, 应当对 window.performance.timing 这个API所有了解. 这是 JavaScr ...
- scrapy学习笔记(二)框架结构工作原理
scrapy结构图: scrapy组件: ENGINE:引擎,框架的核心,其它所有组件在其控制下协同工作. SCHEDULER:调度器,负责对SPIDER提交的下载请求进行调度. DOWNLOADER ...
随机推荐
- 黄聪:多个wordpress网站(不同域名)共享用户数据的方法
WordPress可以自定义用户数据表,这样多个wordpress网站就可以共享用户数据了,有时候这是非常方便的,这些Wordpress站点应该安装在同一个数据库下,数据表前缀各不相同.由于Wordp ...
- 黄聪:HBuilder复制PHP项目后,【转到定位】功能失效
1.[工具]--[插件安装]--[Aptana php插件]--[选择]--[安装] 2.随便开几个文件,操作一下[编辑]--[整理代码格式]就可以了
- 黄聪:VPS服务器轻松备份工具配置
- HTTP之Cookie
cookie是什么 浏览器存储在本地电脑上的一小段文本文件,cookie的存在主要是为了解决http协议无状态的问题,例如通过cookie来判断用户的登录状态,是否是某一个用户等. cookie的结构 ...
- .NET数据请求序列化
这是一个.ner框架中经常用到的数据映射类,此类主要承接业务应用做数据的增删查改操作.通过序列化将查询数据映射为需要的类. 由于经常会用到,这里收藏一下. data用作SQL数据库链接操作: Repo ...
- 【推荐】asp.net 页面的生命周期
当一个页面请求发送到WEB服务器时,不论该事件是由页面提交还是由页面重定向而激发的,页面在其被创建到释放的过程中都会运行一系列的事件.一个ASP.NET页面从被创建到释放的过程包含10个事件. (1) ...
- [Android 开发教程(1)]-- Saving Data in SQL Databases
Saving data to a database is ideal for repeating or structured data, such as contact information. Th ...
- IDC:UPS(不间断电源)
ylbtech-IDC:UPS(不间断电源) UPS(Uninterruptible Power System/Uninterruptible Power Supply),即不间断电源,是将蓄电池(多 ...
- 廖雪峰Java1-4数组操作-2数组排序
冒泡排序法 将第一个值和后面的值,挨个比较,如果手里的值比序列的值小,就交换数据,拿新的数字继续比较,直到最后. 再将第二个值和后面的值,挨个比较. 循环往复,排序完成. int[] ns = {28 ...
- python常用模块: random模块, time模块, sys模块, os模块, 序列化模块
一. random模块 import random # 任意小数 print(random.random()) # 0到1的任意小数 print(random.uniform(-10, 10)) # ...