I'm attempting to integrate a tqdm
progress bar to monitor POST requests generated with aiohttp
in Python 3.5. I have a working progress bar but can't seem to gather results using as_completed()
. Pointers gratefully received.
Examples I've found suggest using the following pattern, which is incompatible with Python 3.5 async def
definitions:
for f in tqdm.tqdm(asyncio.as_completed(tasks), total=len(coros)):
yield from f
Working (albeit redacted in parts) async code without the progress bar:
def async_classify(records):
async def fetch(session, name, sequence):
url = 'https://app.example.com/api/v0/search'
payload = {'sequence': str(sequence)}
async with session.post(url, data=payload) as response:
return name, await response.json()
async def loop():
auth = aiohttp.BasicAuth(api_key)
conn = aiohttp.TCPConnector(limit=100)
with aiohttp.ClientSession(auth=auth, connector=conn) as session:
tasks = [fetch(session, record.id, record.seq) for record in records]
responses = await asyncio.gather(*tasks)
return OrderedDict(responses)
This is my unsuccessful attempt at modifying loop()
:
async def loop():
auth = aiohttp.BasicAuth(api_key)
conn = aiohttp.TCPConnector(limit=100)
with aiohttp.ClientSession(auth=auth, connector=conn) as session:
tasks = [fetch(session, record.id, record.seq) for record in records]
for f in tqdm.tqdm(asyncio.as_completed(tasks), total=len(tasks)):
await f
responses = await asyncio.gather(f)
print(responses)