多个request接口的功能优化处理速度

一、原始代码功能如下，包含两个request接口的调用,耗时情况约4秒

import datetime
import time
import requests

start_time = datetime.datetime.now()
print("开始时间:",start_time)

url = "http://192.168.37.8:7777/api/mytest2"
data1 = requests.post(url).text
print(data1)
time.sleep(2)

url2 = "http://192.168.37.8:7777/api/mytest"
data2 = requests.get(url2).text
print(data2)
time.sleep(2)

end_time = datetime.datetime.now()
print("结束时间",end_time)
time_need = (end_time - start_time ).seconds
print("耗时豪秒数:",time_need)

耗时约：4秒

二、替换语句，使用session对象，加上session后再调用，优化效果不明显

import datetime
import time
import requests

start_time = datetime.datetime.now()
print("开始时间:",start_time)
session = requests.session()

url = "http://192.168.37.8:7777/api/mytest2"
data1 = session.post(url).text
print(data1)
time.sleep(2)

url2 = "http://192.168.37.8:7777/api/mytest"
data2 = session.get(url2).text
print(data2)
time.sleep(2)

end_time = datetime.datetime.now()
print("结束时间",end_time)
time_need = (end_time - start_time ).seconds
print("耗时豪秒数:",time_need)

耗时依然是：4秒

三、引入多线程机制，优化效果比较明显
1.定义线程方法
def thread_1():
def thread_2():

2.定义线程
thread1 = threading.Thread(target = thread_1)
thread2 = threading.Thread(target = thread_2)

3.启动线程
thread1.start()
thread2.start()

4.等待线程执行完毕
thread1.join（）
thread2.join（）

其中时间的语句如下：

start_time = datetime.datetime.now()
//
end_time = datetime.datetime.now()
time_need = (end_time - start_time ).seconds

具体的实现如下:

import datetime
import threading
import time
import requests

start_time = datetime.datetime.now()
print("开始时间:",start_time)

def thread_1():
    url = "http://192.168.37.8:7777/api/mytest2"
    data1 = requests.post(url).text
    print(data1)
    time.sleep(2)

def thread_2():
    url2 = "http://192.168.37.8:7777/api/mytest"
    data2 = requests.get(url2).text
    print(data2)
    time.sleep(2)

thread1 = threading.Thread(target = thread_1)
thread2 = threading.Thread(target = thread_2)

thread1.start()
thread2.start()

thread1.join()
thread2.join()

end_time = datetime.datetime.now()
print("结束时间",end_time)
time_need = (end_time - start_time ).seconds
print("耗时豪秒数:",time_need)

耗时确实下降至2秒