day38 爬虫之Scrapy + Flask框架

s1617day3


内容回顾:
Scrapy
- 创建project
- 创建爬虫
- 编写
- 类
- start_urls = ['http://www.xxx.com']
- def parse(self,response):

yield Item对象
yield Request对象

- pipeline
- process_item
@classmethod
- from_clawer
- open_spider
- close_spider
配置

- request对象("地址",回调函数)
- 执行

高性能相关:
- 多线程【IO】和多进程【计算】
- 尽可能利用线程:
一个线程(Gevent),基于协程:
- 协程,greenlet
- 遇到IO就切换
一个线程(Twisted,Tornado),基于事件循环:
- IO多路复用
- Socket,setBlocking(Flase)

今日内容:
- Scrapy
- Cookie操作
- Pipeline
- 中间件
- 扩展
- 自定义命令
- 其他
- scrapy-redis
- Tornado和Flask
- 基本流程



内容详细:
1. Scrapy

- start_requests
- 可迭代对象
- 生成器

内部iter()
from scrapy.crawler import Crawler
Crawler.crawl

def start_requests(self):
for url in self.start_urls:
yield Request(url=url,callback=self.parse)
# return [Request(url=url,callback=self.parse),]
- cookie
cookie_jar = CookieJar()
cookie_jar.extract_cookies(response, response.request)

- pipeline
- 5个方法
- process_item
- return item
- raise DropItem()

- 去重规则
DUPEFILTER_CLASS = 'sp2.my_filter.MyDupeFilter'
from scrapy.utils.request import request_fingerprint

class MyDupeFilter(object):
def __init__(self):
self.visited = set()

@classmethod
def from_settings(cls, settings):
return cls()

def request_seen(self, request):
fp = request_fingerprint(request)
if fp in self.visited:
return True
self.visited.add(fp)

def open(self): # can return deferred
pass

def close(self, reason): # can return a deferred
pass

def log(self, request, spider): # log that a request has been filtered
pass

from scrapy.utils.request import request_fingerprint
from scrapy.http import Request


obj1 = Request(url='http://www.baidu.com?a=1&b=2',headers={'Content-Type':'application/text'},callback=lambda x:x)
obj2 = Request(url='http://www.baidu.com?b=2&a=1',headers={'Content-Type':'application/json'},callback=lambda x:x)

v1 = request_fingerprint(obj1,include_headers=['Content-Type'])
print(v1)

v2 = request_fingerprint(obj2,include_headers=['Content-Type'])
print(v2)

- 自定义命令
- 目录
xx.py
Class Foo(ScrapyCommand)
run方法

- settings
COMMANDS_MODULE = "sp2.目录"

- scrapy xx

- 下载中间件
- __init__
- from_crawler
- process_request
- None
- response
- request
- process_response
- process_exception

应用:
- 定制请求头(代理)
- HTTPS

注意:
默认代理规则:from scrapy.downloadermiddlewares.httpproxy import HttpProxyMiddleware
设置代理两种方式
- 环境变量
os.environ['xxxxxxxxxxx_proxy']
os.environ['xxxxxxxxxxx_proxy']
os.environ['xxxxxxxxxxx_proxy']
os.environ['xxxxxxxxxxx_proxy']
程序启动之前,先设置
import os
os.environ['xxxxxxxxxxx_proxy'] = "sdfsdfsdfsdfsdf"
- 中间件
...

- 爬虫中间件
class SpiderMiddleware(object):

def __init__(self):
pass

@classmethod
def from_cralwer(cls,cralwer):
return cls()

def process_spider_input(self,response, spider):
"""
下载完成,执行,然后交给parse处理
:param response:
:param spider:
:return:
"""
pass

def process_spider_output(self,response, result, spider):
"""
spider处理完成,返回时调用
:param response:
:param result:
:param spider:
:return: 必须返回包含 Request 或 Item 对象的可迭代对象(iterable)
"""
return result

def process_spider_exception(self,response, exception, spider):
"""
异常调用
:param response:
:param exception:
:param spider:
:return: None,继续交给后续中间件处理异常;含 Response 或 Item 的可迭代对象(iterable),交给调度器或pipeline
"""
return None

def process_start_requests(self,start_requests, spider):
"""
爬虫启动时调用
:param start_requests:
:param spider:
:return: 包含 Request 对象的可迭代对象
"""
return start_requests
# return [Request(url='http://www.baidu.com'),]

- 自定义扩展
from scrapy import signals


class MyExtension(object):
def __init__(self):
pass

@classmethod
def from_crawler(cls, crawler):
obj = cls()

crawler.signals.connect(obj.xxxxxx, signal=signals.engine_started)
crawler.signals.connect(obj.rrrrr, signal=signals.spider_closed)

return obj

def xxxxxx(self, spider):
print('open')

def rrrrr(self, spider):
print('open')


EXTENSIONS = {
'sp2.extend.MyExtension': 500,
}


- Https证书,自定义证书
默认:
DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
DOWNLOADER_CLIENTCONTEXTFACTORY = "scrapy.core.downloader.contextfactory.ScrapyClientContextFactory"

自定义:
DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
DOWNLOADER_CLIENTCONTEXTFACTORY = "sp2.https.MySSLFactory"


from scrapy.core.downloader.contextfactory import ScrapyClientContextFactory
from twisted.internet.ssl import (optionsForClientTLS, CertificateOptions, PrivateCertificate)


class MySSLFactory(ScrapyClientContextFactory):
def getCertificateOptions(self):
from OpenSSL import crypto
v1 = crypto.load_privatekey(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.key.unsecure', mode='r').read())
v2 = crypto.load_certificate(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.pem', mode='r').read())
return CertificateOptions(
privateKey=v1, # pKey对象
certificate=v2, # X509对象
verify=False,
method=getattr(self, 'method', getattr(self, '_ssl_method', None))
)


- 其他:配置

参考地址:http://www.cnblogs.com/wupeiqi/articles/6229292.html

2. pip3 install scrapy-redis
需求:10个爬虫
组件: scrapy-redis,将去重规则和调度器放置到redis中。
流程:连接redis,指定调度器时,调用去重规则.request_seen方法

# 连接redis
# REDIS_HOST = 'localhost' # 主机名
# REDIS_PORT = 6379 # 端口
REDIS_URL = 'redis://user:pass@hostname:9001' # 连接URL(优先于以上配置)
# REDIS_PARAMS = {} # Redis连接参数 默认:REDIS_PARAMS = {'socket_timeout': 30,'socket_connect_timeout': 30,'retry_on_timeout': True,'encoding': REDIS_ENCODING,})
# REDIS_PARAMS['redis_cls'] = 'myproject.RedisClient' # 指定连接Redis的Python模块 默认:redis.StrictRedis
# REDIS_ENCODING = "utf-8" # redis编码类型 默认:'utf-8'

# 去重规则(redis中的set集合)
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"



# 调度器
SCHEDULER = "scrapy_redis.scheduler.Scheduler"

SCHEDULER_QUEUE_CLASS = 'scrapy_redis.queue.PriorityQueue' # 默认使用优先级队列(默认),其他:PriorityQueue(有序集合),FifoQueue(列表)、LifoQueue(列表)
SCHEDULER_QUEUE_KEY = '%(spider)s:requests' # 调度器中请求存放在redis中的key
SCHEDULER_SERIALIZER = "scrapy_redis.picklecompat" # 对保存到redis中的数据进行序列化,默认使用pickle
SCHEDULER_PERSIST = True # 是否在关闭时候保留原来的调度器和去重记录,True=保留,False=清空
SCHEDULER_FLUSH_ON_START = True # 是否在开始之前清空 调度器和去重记录,True=清空,False=不清空
SCHEDULER_IDLE_BEFORE_CLOSE = 10 # 去调度器中获取数据时,如果为空,最多等待时间(最后没数据,未获取到)。
SCHEDULER_DUPEFILTER_KEY = '%(spider)s:dupefilter' # 去重规则,在redis中保存时对应的key


REDIS_START_URLS_AS_SET = False
REDIS_START_URLS_KEY = '%(name)s:start_urls'




方式一:
REDIS_URL = 'redis://user:pass@hostname:9001' # 连接URL(优先于以上配置)
# REDIS_PARAMS = {} # Redis连接参数 默认:REDIS_PARAMS = {'socket_timeout': 30,'socket_connect_timeout': 30,'retry_on_timeout': True,'encoding': REDIS_ENCODING,})
# REDIS_PARAMS['redis_cls'] = 'myproject.RedisClient' # 指定连接Redis的Python模块 默认:redis.StrictRedis
# REDIS_ENCODING = "utf-8" # redis编码类型 默认:'utf-8'

# 去重规则(redis中的set集合)
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"



# 调度器
SCHEDULER = "scrapy_redis.scheduler.Scheduler"

SCHEDULER_QUEUE_CLASS = 'scrapy_redis.queue.PriorityQueue' # 默认使用优先级队列(默认),其他:PriorityQueue(有序集合),FifoQueue(列表)、LifoQueue(列表)
SCHEDULER_QUEUE_KEY = '%(spider)s:requests' # 调度器中请求存放在redis中的key
SCHEDULER_SERIALIZER = "scrapy_redis.picklecompat" # 对保存到redis中的数据进行序列化,默认使用pickle
SCHEDULER_PERSIST = True # 是否在关闭时候保留原来的调度器和去重记录,True=保留,False=清空
SCHEDULER_FLUSH_ON_START = True # 是否在开始之前清空 调度器和去重记录,True=清空,False=不清空
SCHEDULER_IDLE_BEFORE_CLOSE = 10 # 去调度器中获取数据时,如果为空,最多等待时间(最后没数据,未获取到)。
SCHEDULER_DUPEFILTER_KEY = '%(spider)s:dupefilter' # 去重规则,在redis中保存时对应的key


class ChoutiSpider(scrapy.Spider):
name = 'chouti'
allowed_domains = ['chouti.com']
cookies = None
cookie_dict = {}
start_urls = ['http://dig.chouti.com/',]

def index(self, response):
print('爬虫返回结果',response,response.url)

方式二:

REDIS_START_URLS_AS_SET = False
REDIS_START_URLS_KEY = '%(name)s:start_urls'



from scrapy_redis.spiders import RedisSpider
class ChoutiSpider(RedisSpider):
name = 'chouti'
allowed_domains = ['chouti.com']

def index(self, response):
print('爬虫返回结果',response,response.url)



********************* 基本使用 *********************
类,继承scrapy_redis


参考博客:http://www.cnblogs.com/wupeiqi/articles/6912807.html


3. Flask Web框架
- pip3 install flask
- Web框架:
- 路由
- 视图
- 模板渲染

- flask中无socket,依赖 实现wsgi协议的模块: werkzeug
- URL两种添加方式:
方式一:
@app.route('/xxxxxxx')
def hello_world():
return 'Hello World!'
方式二:
def index():
return "Index"

app.add_url_rule('/index',view_func=index)
- 路由系统:
- 固定
@app.route('/x1/')
def hello_world():
return 'Hello World!'

- 不固定
@app.route('/user/<username>')
@app.route('/post/<int:post_id>')
@app.route('/post/<float:post_id>')
@app.route('/post/<path:path>')
@app.route('/login', methods=['GET', 'POST'])

@app.route('/xx/<int:nid>')
def hello_world(nid):
return 'Hello World!'+ str(nid)

- 自定制正则
@app.route('/index/<regex("d+"):nid>')
def index(nid):
return 'Index'

- 视图

- 模板

- message

- 中间件

- Session
- 默认:加密cookie实现
- 第三方:Flask-Session
redis: RedisSessionInterface
memcached: MemcachedSessionInterface
filesystem: FileSystemSessionInterface
mongodb: MongoDBSessionInterface
sqlalchemy: SqlAlchemySessionInterface

- 蓝图(文件夹的堆放)

- 安装第三方组件:
- Session: Flask-Session
- 表单验证:WTForms
- ORM: SQLAchemy
参考博客:http://www.cnblogs.com/wupeiqi/articles/7552008.html
4. Tornado
- pip3 install tornado

参考博客:http://www.cnblogs.com/wupeiqi/articles/5702910.html

课堂代码:https://github.com/liyongsan/git_class/tree/master/day38


原文地址:https://www.cnblogs.com/liyongsan/p/7755784.html