python 的接口并发库 grequests

requests库是个串行库，grequests库是并行库。把请求放到列表中，一起发送，返回的也是一个列表

下面做个实验;

先用requests进行对一个接口的100次访问：

import requests
import time
start = time.time()
res_list = [requests.get('http://127.0.0.1:8000/api/t/') for i in range(100)]
print(time.time()-start)

　　执行时间是2.5857s

再用grequests库进行对一个接口的100次访问呢：

import grequests
import time
start = time.time()
req_list = [grequests.get('http://127.0.0.1:8000/api/t/') for i in range(100)]
res_list = grequests.map(req_list)
print(time.time()-start)

　　执行时间是1.807s

测试员可以哪来问并发测试， grequests也是可以支持很多的请求方式的

# Shortcuts for creating AsyncRequest with appropriate HTTP method

get = partial(AsyncRequest, 'GET')
options = partial(AsyncRequest, 'OPTIONS')
head = partial(AsyncRequest, 'HEAD')
post = partial(AsyncRequest, 'POST')
put = partial(AsyncRequest, 'PUT')
patch = partial(AsyncRequest, 'PATCH')
delete = partial(AsyncRequest, 'DELETE')

可以指定报错执行的处理函数 用exception_handler参数指定函数，gtimeout整体指定超时时间，timeout 单独指定超时时间

import grequests
def err_handler(request, exception):
    print("请求出错")
req_list = [
grequests.post('http://127.0.0.1:8000/api/t/',json={"Staff_name":"张三","Staff_username":"cs ","Staff_phone":"张三","Staff_mailbox":"张三"}, timeout=1),
grequests.get('http://127.0.0.1:8000/api/mo/'),
grequests.get('http://127.0.0.1:8000/api/api/')
]
res_list = grequests.map(req_list, exception_handler=err_handler,gtimeout=2)
for i in res_list:
    print(i.text )

挖掘一下还是有点意思的