我想加快一些 API 請求...為此，我試圖弄清楚如何做并復制一些運行的代碼，但是當我嘗試自己的代碼時，它不再是異步的。也許有人發現失??？復制代碼（從計算器中猜測）：#!/usr/bin/env python3import [email protected] func_normal(): print('A') yield from asyncio.sleep(5) print('B') return 'saad'@asyncio.coroutinedef func_infinite(): for i in range(10): print("--%d" % i) return 'saad2'loop = asyncio.get_event_loop()tasks = func_normal(), func_infinite()a, b = loop.run_until_complete(asyncio.gather(*tasks))print("func_normal()={a}, func_infinite()=".format(**vars()))loop.close()我的“自己的”代碼（最后我需要返回一個列表并合并所有函數的結果）：import asyncioimport [email protected] say_after(start,count,say,yep=True): retl = [] if yep: time.sleep(5) for x in range(start,count): retl.append(x) print(say) return retldef main(): print(f"started at {time.strftime('%X')}") loop = asyncio.get_event_loop() tasks = say_after(10,20,"a"), say_after(20,30,"b",False) a, b = loop.run_until_complete(asyncio.gather(*tasks)) print("func_normal()={a}, func_infinite()=".format(**vars())) loop.close() c = a + b #print(c) print(f"finished at {time.strftime('%X')}")main()或者我完全錯了，應該用多線程解決這個問題？對于返回我需要合并的列表的 API 請求，最好的方法是什么？
1 回答
慕虎7371278
TA貢獻1802條經驗 獲得超4個贊
為每個需要改進的部分添加了評論。刪除了一些簡單的代碼。
事實上，我沒有發現 using range()wrapped in coroutine 和使用async def, 可能值得更重的操作有任何性能提升。
import asyncio
import time
# @asyncio.coroutine IS DEPRECATED since python 3.8
@asyncio.coroutine
def say_after(wait=True):
result = []
if wait:
print("I'm sleeping!")
time.sleep(5)
print("'morning!")
# This BLOCKs thread, but release GIL so other thread can run.
# But asyncio runs in ONE thread, so this still harms simultaneity.
# normal for is BLOCKING operation.
for i in range(5):
result.append(i)
print(i, end='')
print()
return result
def main():
start = time.time()
# Loop argument will be DEPRECATED from python 3.10
# Make main() as coroutine, then use asyncio.run(main()).
# It will be in asyncio Event loop, without explicitly passing Loop.
loop = asyncio.get_event_loop()
tasks = say_after(), say_after(False)
# As we will use asyncio.run(main()) from now on, this should be await-ed.
a, b = loop.run_until_complete(asyncio.gather(*tasks))
print(f"Took {time.time() - start:5f}")
loop.close()
main()
更好的方法：
import asyncio
import time
async def say_after(wait=True):
result = []
if wait:
print("I'm sleeping!")
await asyncio.sleep(2) # 'await' a coroutine version of it instead.
print("'morning!")
# wrap iterator in generator - or coroutine
async def asynchronous_range(end):
for _i in range(end):
yield _i
# use it with async for
async for i in asynchronous_range(5):
result.append(i)
print(i, end='')
print()
return result
async def main():
start = time.time()
tasks = say_after(), say_after(False)
a, b = await asyncio.gather(*tasks)
print(f"Took {time.time() - start:5f}")
asyncio.run(main())
結果
你的代碼：
DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def say_after(wait=True):
I'm sleeping!
'morning!
01234
01234
Took 5.003802
更好的異步代碼：
I'm sleeping!
01234
'morning!
01234
Took 2.013863
請注意，固定代碼現在在其他任務休眠時完成其工作。
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