在Python中使用多重处理和请求进行并行发布请求 [英] parallel post requests using multiprocessing and requests in Python

问题描述

我有如下的小代码段:

import requests
import multiprocessing

header = {
'X-Location': 'UNKNOWN',
'X-AppVersion': '2.20.0',
'X-UniqueId': '2397123',
'X-User-Locale': 'en',
'X-Platform': 'Android',
'X-AppId': 'com.my_app',
'Accept-Language': 'en-ID',
'X-PushTokenType': 'GCM',
'X-DeviceToken': 'some_device_token'
}


BASE_URI = 'https://my_server.com/v2/customers/login'

def internet_resource_getter(post_data):
    stuff_got = []

    response = requests.post(BASE_URI, headers=header, json=post_data)
    stuff_got.append(response.json())

    return stuff_got

tokens = [{"my_token":'EAAOZAe8Q2rKYBAu0XETMiCZC0EYAddz4Muk6Luh300PGwGAMh26Bpw3AA6srcxbPWSTATpTLmvhzkUHuercNlZC1vDfL9Kmw3pyoQfpyP2t7NzPAOMCbmCAH6ftXe4bDc4dXgjizqnudfM0D346rrEQot5H0esW3RHGf8ZBRVfTtX8yR0NppfU5LfzNPqlAem9M5ZC8lbFlzKpZAZBOxsaz'},{"my_token":'EAAOZAe8Q2rKYBAKQetLqFwoTM2maZBOMUZA2w5mLmYQi1GpKFGZAxZCaRjv09IfAxxK1amZBE3ab25KzL4Bo9xvubiTkRriGhuivinYBkZAwQpnMZC99CR2FOqbNMmZBvLjZBW7xv6BwSTu3sledpLSGQvPIZBKmTv3930dBH8lazZCs3q0Q5i9CZC8mf8kYeamV9DED1nsg5PQZDZD'}]

pool = multiprocessing.Pool(processes=3)
pool_outputs = pool.map(internet_resource_getter, tokens)
pool.close()
pool.join()

我要做的就是将并行的POST请求激发到终点，而每个POST都将具有不同的令牌作为其正文.

All I am trying to do is fire parallel POST requests to the end point, while each POST would have a different token as it's post body.

1. 通过以上内容我将能够实现我想要的目标吗?我得到了输出，但是不确定我的请求是否并行发送.
2. 我知道grequests.我想实现真正的并行请求(如利用系统上的多个处理器)，因此我选择了多处理而不是grequest(据我所知，它使用的是gevents，它又不是并行的，而是多线程的).我的理解在这里正确吗?

推荐答案

如果您对并行执行多个POST请求感兴趣，建议您使用 aiohttp ，两者都实现了异步任务的概念，该任务可以并行运行.

If you interested in a parallel execution of multiple POST requests, I suggest you to use asyncio or aiohttp, which both implements the idea of asynchronous tasks, which run in parallel.

例如，您可以使用asyncio做这样的事情:

For example, you can do something like this with asyncio:

import requests
import asyncio

header = {
    'X-Location': 'UNKNOWN',
    'X-AppVersion': '2.20.0',
    'X-UniqueId': '2397123',
    'X-User-Locale': 'en',
    'X-Platform': 'Android',
    'X-AppId': 'com.my_app',
    'Accept-Language': 'en-ID',
    'X-PushTokenType': 'GCM',
    'X-DeviceToken': 'some_device_token'
}

BASE_URI = 'https://my_server.com/v2/customers/login'


def internet_resource_getter(post_data):
    stuff_got = []

    response = requests.post(BASE_URI, headers=header, json=post_data)

    stuff_got.append(response.json())
    print(stuff_got)
    return stuff_got

tokens = [
    {
        "my_token": 'EAAOZAe8Q2rKYBAu0XETMiCZC0EYAddz4Muk6Luh300PGwGAMh26B'
                    'pw3AA6srcxbPWSTATpTLmvhzkUHuercNlZC1vDfL9Kmw3pyoQfpyP'
                    '2t7NzPAOMCbmCAH6ftXe4bDc4dXgjizqnudfM0D346rrEQot5H0es'
                    'W3RHGf8ZBRVfTtX8yR0NppfU5LfzNPqlAem9M5ZC8lbFlzKpZAZBO'
                    'xsaz'
     },
    {
        "my_token": 'EAAOZAe8Q2rKYBAKQetLqFwoTM2maZBOMUZA2w5mLmYQi1GpKFGZAx'
                    'ZCaRjv09IfAxxK1amZBE3ab25KzL4Bo9xvubiTkRriGhuivinYBkZA'
                    'wQpnMZC99CR2FOqbNMmZBvLjZBW7xv6BwSTu3sledpLSGQvPIZBKmT'
                    'v3930dBH8lazZCs3q0Q5i9CZC8mf8kYeamV9DED1nsg5PQZDZD'
     }
]

loop = asyncio.get_event_loop()

for token in tokens:
    loop.run_in_executor(None, internet_resource_getter, token)

请注意:它们仅存在于python 3.x中.但是，我认为它看起来更好，更简洁，并且可以确保它们并行运行.

Note this: They only exist in python 3.x. But, it's look much better and concise in my opinion, and it's insure that they run in parallel.

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