今天研究了下python3的新特性 asynico，试了试aiohttp协程效果，单核QPS在500~600之间，性能还可以。

import aiohttp
import asyncio
import hashlib
import time
from asyncio import Queue


class Fetch:
    def __init__(self):
        self.work_queue = Queue()
        self.max_loop = 10000
        self.host = "http://14.29.5.29/XXXX"
        self.payload = {"planId": 10000007, "activityId": 1002, "label": 1,
                        "key": "98214ecfe6b9ae8855e3ac6509ad940f", "keyType": "imei",
                        "batchId": 1, "token": "395La7f9x9x"}

    async def get_url(self, host, payload):
        async with aiohttp.ClientSession() as session:
            async with session.post(host, data=payload) as resp:
                text = await resp.text()
                if "1" in text:
                    print(text, payload["key"])

    async def consumer(self):
        while True:
            param = await self.work_queue.get()
            if param:
                await self.get_url(self.host, param)
                self.work_queue.task_done()
            else:
                break

    async def producer(self):
        i = 0
        string = '866260035710238'
        while 1:
            if i:
                md5_str = hashlib.md5(string.encode('utf-8'))
                self.payload["key"] = md5_str.hexdigest()
                string = str(int(string) + 1)
            await self.work_queue.put(self.payload.copy()) #必须要
            i += 1
            if i > self.max_loop:
                break

    async def run(self):
        await self.producer()
        print('start consumer...')

        tasks = [
            loop.create_task(self.consumer())
            for i in range(10)
        ]

        await self.work_queue.join()
        print('end join')
        for task in tasks:
            task.cancel()

t1 = time.time()
loop = asyncio.get_event_loop()
test = Fetch()
loop.run_until_complete(test.run())
loop.close()
print(time.time() - t1)