python基础===基于requests模块上的协程trip

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今天看博客get了一个有趣的模块,叫做 trip     #(pip install  trip)

兼容2.7版本

基于两大依赖包:TRIP: Tornado & Requests In Pair

先看一下simple code:

import trip

@trip.coroutine
def main():
    r = yield trip.get(http://www.baidu.com/‘)
    print(r.content)

trip.run(main)

 

于是又做了一个比较:

 

import time, functools
import requests,trip



def timeit(fn):
    start_time = time.time()
    fn()
    return time.time() - start_time

url = https://www.baidu.com/
times = 100

def fetch():
    r = [requests.get(url) for i in range(times)]
    return r

@trip.coroutine
def  async_fetch():
    r = yield[trip.get(url) for i in range(times)]
    raise trip.Return(r)


print("[+]Non-trip cost: %ss" % timeit(fetch))
print("[+]Trip cost: %ss" % timeit(functools.partial(trip.run,async_fetch)))


#result
#[+]Non-trip cost: 14.9129998684s
#[+]Trip cost: 1.83399987221s

14.9秒和1.8秒的差距,效果显而易见!

 

在爬虫中的比较,普通爬虫:

import requests

url = http://httpbin.org
s = requests.Session()

def fetch(times=10):
    s.get(%s/cookies/set?name=value % url)
    r = [s.get(%s/get % url) for i in range(times)]
    print r

fetch()

加入trip优化后的:

import trip

url = http://httpbin.org
s = trip.Session()

@trip.coroutine
def fetch(times=10):
    yield s.get(%s/cookies/set?name=value % url)
    r = yield [s.get(%s/get % url) for i in range(times)]
    print r

trip.run(fetch)

在原基础上更改不大。

 






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