python异步编程之 async await
python异步编程之 async await
本文代码采用python3.6运行.
发展史
- 3.3: The yield from expression allows for generator delegation.
- 3.4: asyncio was introduced in the Python standard library with provisional API status.
- 3.5: async and await became a part of the Python grammar, used to signify and wait on coroutines. They were not yet reserved keywords. (You could still define functions or variables named async and await.)
- 3.6: Asynchronous generators and asynchronous comprehensions were introduced. The API of asyncio was declared stable rather than provisional.
- 3.7: async and await became reserved keywords. (They cannot be used as identifiers.) They are intended to replace the asyncio.coroutine() decorator. asyncio.run() was introduced to the asyncio package, among a bunch of other features.
本质上是使用了协程,当调用await时让渡CPU,有结果返回时再切换回来.相比使用回调来协调执行顺序来说,await编程方式在每个协程中代码是顺序执行的,对代码编写来说更为友好.
语法
async def
调用一个async func返回了什么?
async def fun1():
return
async def fun2():
yield
print(type(fun1()))
print(type(fun2()))
# <class 'coroutine'>
# <class 'async_generator'>
await
-
await只能用于async函数中
async def f(x): y = await z(x) # OK - `await` and `return` allowed in coroutines return y async def g(x): yield x # OK - this is an async generator async def m(x): yield from gen(x) # No - SyntaxError def m(x): y = await z(x) # Still no - SyntaxError (no `async def` here) return y -
await后面只能跟一个awaitable对象(一般情况下是一个Coroutine对象)
调用(启用)方式
import time
import asyncio
async def coro(seq) -> list:
"""'IO' wait time is proportional to the max element."""
await asyncio.sleep(max(seq))
return list(reversed(seq))
async def main():
"""
ensure_future():创建任务,Python 3.7+后被create_task()取代.
t.done(): 返回任务执行状态:Bool类型.
执行结果:
------------------------------------------
t: type <class '_asyncio.Task'>
t done: False
t result: [1, 2, 3]
t done: True
------------------------------------------
"""
# t = asyncio.create_task(coro([3, 2, 1])) # Python 3.7+
t = asyncio.ensure_future(coro([3, 2, 1])) # Python 3.*
print(f't: type {type(t)}')
print(f't done: {t.done()}')
a = await t
print(f't result: {a}')
print(f't done: {t.done()}')
async def main2():
"""
tasks = gather():收集多个任务
await tasks:任务全部完成一起返回
执行结果:
------------------------------------------
Start: 11:11:29
[[1, 2, 3], [0, 5, 6]]
End: 11:11:35
Both tasks done: True
------------------------------------------
"""
t = asyncio.ensure_future(coro([3, 2, 1]))
t2 = asyncio.ensure_future(coro([6, 5, 0]))
print('Start:', time.strftime('%X'))
a = await asyncio.gather(t, t2)
print(a)
print('End:', time.strftime('%X')) # Should be 10 seconds
print(f'Both tasks done: {all((t.done(), t2.done()))}')
async def main3():
"""
as_completed 每个任务完成即返回该任务的结果.
执行结果:
------------------------------------------
Start: 11:08:13
res: [1, 2, 3] completed at 11:08:16
# 三秒后
res: [0, 5, 6] completed at 11:08:19
End: 11:08:19
Both tasks done: True
------------------------------------------
"""
t = asyncio.ensure_future(coro([3, 2, 1]))
t2 = asyncio.ensure_future(coro([6, 5, 0]))
print('Start:', time.strftime('%X'))
for res in asyncio.as_completed((t, t2)):
compl = await res
print(f'res: {compl} completed at {time.strftime("%X")}')
print('End:', time.strftime('%X'))
print(f'Both tasks done: {all((t.done(), t2.done()))}')
if __name__ == '__main__':
# python < 3.7
loop = asyncio.get_event_loop()
# loop.run_until_complete(main())
# loop.run_until_complete(main2())
loop.run_until_complete(main3())
loop.close()
# python 3.7
# asyncio.run(main())
DEMO
并发http请求
该Demo使用aiohttp发送异步请求.
"""
并发爬取36kr数据,并保存为本地文件
"""
import asyncio
import aiohttp
import json
async def get_json(client, url):
async with client.get(url) as response:
assert response.status == 200
return await response.read()
async def get_36_kr(page, client):
data1 = await get_json(client, 'https://36kr.com/api/search-column/mainsite?per_page=20&page={}'.format(page))
j = json.loads(data1.decode('utf-8'))
with open(f"./content/{page}.json", "w", encoding='utf-8') as f:
f.write(json.dumps(j, indent=2, ensure_ascii=False))
print('Done with page:', page)
async def main():
client = aiohttp.ClientSession(loop=loop)
tasks = [asyncio.ensure_future(get_36_kr(i, client)) for i in range(100)]
await asyncio.gather(*tasks)
await client.close()
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.close()
精简下(需python3.7下运行)
import asyncio
import aiohttp
import json
async def get_36_kr(page, client):
url = f'https://36kr.com/api/search-column/mainsite?per_page=1&page={page}'
async with client.get(url, ssl=False) as response:
assert response.status == 200
return await response.json()
async def main():
async with aiohttp.ClientSession() as client:
tasks = [asyncio.ensure_future(get_36_kr(i, client))
for i in range(2)]
res = await asyncio.gather(*tasks)
print(json.dumps(res,indent=2))
if __name__ == '__main__':
asyncio.run(main())
异步IO库
async/await可使用的库.
-
From aio-libs:
- aiohttp: Asynchronous HTTP client/server framework
- aioredis: Async IO Redis support
- aiopg: Async IO PostgreSQL support
- aiomcache: Async IO memcached client
- aiokafka: Async IO Kafka client
- aiozmq: Async IO ZeroMQ support
- aiojobs: Jobs scheduler for managing background tasks
- async_lru: Simple LRU cache for async IO
-
From magicstack:
- uvloop: Ultra fast async IO event loop
- asyncpg: (Also very fast) async IO PostgreSQL support
-
From other hosts:
- trio: Friendlier asyncio intended to showcase a radically simpler design
- aiofiles: Async file IO
- asks: Async requests-like http library
- asyncio-redis: Async IO Redis support
- aioprocessing: Integrates multiprocessing module with asyncio
- umongo: Async IO MongoDB client
- unsync: Unsynchronize asyncio
- aiostream: Like itertools, but async
