我有一个"awaitables"列表，想将其传递给
这是使用标准库的非常简洁的（非）工作示例，展示了问题。这应该以100 /秒的速度限制，但实际上限制为116.651 /秒。什么是在asyncio中调度异步请求的最佳方法？
工作代码：
asyncio.AbstractEventLoop，但需要对第三方API的请求进行限制。我希望避免等待将"future"传递给循环，因为在此期间我会阻塞我的循环。我有哪些选择？Semaphores和ThreadPools将限制并发运行的数量，但这不是我的问题。我需要将请求限制为每秒100个，但完成请求所需的时间并不重要。这是使用标准库的非常简洁的（非）工作示例，展示了问题。这应该以100 /秒的速度限制，但实际上限制为116.651 /秒。什么是在asyncio中调度异步请求的最佳方法？
工作代码：
import asyncio
from threading import Lock
class PTBNL:
def __init__(self):
self._req_id_seq = 0
self._futures = {}
self._results = {}
self.token_bucket = TokenBucket()
self.token_bucket.set_rate(100)
def run(self, *awaitables):
loop = asyncio.get_event_loop()
if not awaitables:
loop.run_forever()
elif len(awaitables) == 1:
return loop.run_until_complete(*awaitables)
else:
future = asyncio.gather(*awaitables)
return loop.run_until_complete(future)
def sleep(self, secs) -> True:
self.run(asyncio.sleep(secs))
return True
def get_req_id(self) -> int:
new_id = self._req_id_seq
self._req_id_seq += 1
return new_id
def start_req(self, key):
loop = asyncio.get_event_loop()
future = loop.create_future()
self._futures[key] = future
return future
def end_req(self, key, result=None):
future = self._futures.pop(key, None)
if future:
if result is None:
result = self._results.pop(key, [])
if not future.done():
future.set_result(result)
def req_data(self, req_id, obj):
# Do Some Work Here
self.req_data_end(req_id)
pass
def req_data_end(self, req_id):
print(req_id, " has ended")
self.end_req(req_id)
async def req_data_async(self, obj):
req_id = self.get_req_id()
future = self.start_req(req_id)
self.req_data(req_id, obj)
await future
return future.result()
async def req_data_batch_async(self, contracts):
futures = []
FLAG = False
for contract in contracts:
req_id = self.get_req_id()
future = self.start_req(req_id)
futures.append(future)
nap = self.token_bucket.consume(1)
if FLAG is False:
FLAG = True
start = asyncio.get_event_loop().time()
asyncio.get_event_loop().call_later(nap, self.req_data, req_id, contract)
await asyncio.gather(*futures)
elapsed = asyncio.get_event_loop().time() - start
return futures, len(contracts)/elapsed
class TokenBucket:
def __init__(self):
self.tokens = 0
self.rate = 0
self.last = asyncio.get_event_loop().time()
self.lock = Lock()
def set_rate(self, rate):
with self.lock:
self.rate = rate
self.tokens = self.rate
def consume(self, tokens):
with self.lock:
if not self.rate:
return 0
now = asyncio.get_event_loop().time()
lapse = now - self.last
self.last = now
self.tokens += lapse * self.rate
if self.tokens > self.rate:
self.tokens = self.rate
self.tokens -= tokens
if self.tokens >= 0:
return 0
else:
return -self.tokens / self.rate
if __name__ == '__main__':
asyncio.get_event_loop().set_debug(True)
app = PTBNL()
objs = [obj for obj in range(500)]
l,t = app.run(app.req_data_batch_async(objs))
print(l)
print(t)
编辑：我在这里添加了一个使用信号量的TrottleTestApp简单示例，但仍无法对执行进行限制：
import asyncio
import time
class ThrottleTestApp:
def __init__(self):
self._req_id_seq = 0
self._futures = {}
self._results = {}
self.sem = asyncio.Semaphore()
async def allow_requests(self, sem):
"""Permit 100 requests per second; call
loop.create_task(allow_requests())
at the beginning of the program to start this routine. That call returns
a task handle that can be canceled to end this routine.
asyncio.Semaphore doesn't give us a great way to get at the value other
than accessing sem._value. We do that here, but creating a wrapper that
adds a current_value method would make this cleaner"""
while True:
while sem._value < 100: sem.release()
await asyncio.sleep(1) # Or spread more evenly
# with a shorter sleep and
# increasing the value less
async def do_request(self, req_id, obj):
await self.sem.acquire()
# this is the work for the request
self.req_data(req_id, obj)
def run(self, *awaitables):
loop = asyncio.get_event_loop()
if not awaitables:
loop.run_forever()
elif len(awaitables) == 1:
return loop.run_until_complete(*awaitables)
else:
future = asyncio.gather(*awaitables)
return loop.run_until_complete(future)
def sleep(self, secs: [float]=0.02) -> True:
self.run(asyncio.sleep(secs))
return True
def get_req_id(self) -> int:
new_id = self._req_id_seq
self._req_id_seq += 1
return new_id
def start_req(self, key):
loop = asyncio.get_event_loop()
future = loop.create_future()
self._futures[key] = future
return future
def end_req(self, key, result=None):
future = self._futures.pop(key, None)
if future:
if result is None:
result = self._results.pop(key, [])
if not future.done():
future.set_result(result)
def req_data(self, req_id, obj):
# This is the method that "does" something
self.req_data_end(req_id)
pass
def req_data_end(self, req_id):
print(req_id, " has ended")
self.end_req(req_id)
async def req_data_batch_async(self, objs):
futures = []
FLAG = False
for obj in objs:
req_id = self.get_req_id()
future = self.start_req(req_id)
futures.append(future)
if FLAG is False:
FLAG = True
start = time.time()
self.do_request(req_id, obj)
await asyncio.gather(*futures)
elapsed = time.time() - start
print("Roughly %s per second" % (len(objs)/elapsed))
return futures
if __name__ == '__main__':
asyncio.get_event_loop().set_debug(True)
app = ThrottleTestApp()
objs = [obj for obj in range(10000)]
app.run(app.req_data_batch_async(objs))