I am using the following code to make requests with aiohttp client. The server that I am trying to send request has a 30k request limit per hour per IP. So I am getting 429 too many request error. I want to put the job on sleep whenever it hits the limit.
I can extract the x_rateLimit_reset from the header so I thought I could use it to put the job on sleep but I observed very strange behavior. Sometimes the job the sleep time becomes negative and sometimes it gets stuck in sleeping mode.
For example, the last time that I ran the job, it first slept for 2000 seconds and then after the time passed, it again tried to sleep for another 2500 seconds and got stuck in sleeping mode. I think maybe the other parallel processes caused the issue so was wondering how to deal with too many request error msg when using Asyncio.
@backoff.on_exception(backoff.expo, (asyncio.TimeoutError, aiohttp.client_exceptions.ServerDisconnectedError,TooManyRequests),
max_time=300)
async def fetch(self, url, session, params):
try:
async with session.get(url, params=params) as response:
now = int(time.time())
print(response)
output = await response.read()
output = json.loads(output)
if 'X-RateLimit-Remaining' in response.headers:
rate = response.headers['X-RateLimit-Remaining']
if 'status' in output and output['status'] == 429:
x_rateLimit_reset = int(response.headers['X-RateLimit-Reset'])
print("sleep mode")
seconds = x_rateLimit_reset - now
LOGGER.info("The job will sleep for {} seconds".format(seconds))
time.sleep(max(seconds,0))
raise TooManyRequests()
return output
except (asyncio.TimeoutError, TypeError, json.decoder.JSONDecodeError,
aiohttp.client_exceptions.ServerDisconnectedError) as e:
print(str(e))
async def bound_fetch(self, sem, url, session, params):
# Getter function with semaphore.
async with sem:
output = await self.fetch(url, session, params)
return {"url": url, "output": output}
Edited: This is how I initiate bound_fetch and define the URLs:
def get_responses(self, urls, office_token, params=None):
loop = asyncio.get_event_loop()
future = asyncio.ensure_future(self.run(office_token, urls, params))
responses = loop.run_until_complete(future)
return responses
async def run(self, office_token, urls, params):
tasks = []
# create instance of Semaphore
sem = asyncio.BoundedSemaphore(200)
timeout = ClientTimeout(total=1000)
async with ClientSession(auth=BasicAuth(office_token, password=' '), timeout=timeout,
connector=TCPConnector(ssl=False)) as session:
for url in urls:
# pass Semaphore and session to every GET request
task = asyncio.ensure_future(self.bound_fetch(sem, url, session, params))
tasks.append(task)
responses = await asyncio.gather(*tasks)
return responses
urls = [
"{}/{}".format(self.base_url, "{}?page={}&api_key={}".format(object_name, page_number, self.api_keys))
for page_number in range(batch * chunk_size + 1, chunk_size * (1 + batch) + 1)]
Main reason you are using
time.sleep()
insteadawait asyncio.sleep()
.UPDATE
Here is minimal working solution and some comment how it works.
Please use it to adopt your solution.
Take a look on asyncio-throttle