Currently I have 3 files: sender.py – sends messages to queue ‘aio11’, processing.py – reads messages from ‘aio11’ and sends to queue ‘aio12’, receiver.py – reads from ‘aio2’. The problem is all of the connections went well and the processing.py handled and send first message but that’s all, further processing isn’t happening. All code below: ..
I am making a Discord bot using discord.py and sometimes the script I use to run it needs to close out the bot. When I close it out without using signal handlers there is a lot of errors about a loop not closing, so I added a signal handler (using the code below) and inside ..
Server await 1024 bytes: import asyncio async def handle_client(reader, writer): data = await reader.read(1024) writer.write("hello from server".encode()) await writer.drain() writer.close() loop = asyncio.get_event_loop() loop.create_task(asyncio.start_server(handle_client, ‘localhost’, 4782)) loop.run_forever() Client Gen 2048 bytes and send on server: import socket sock = socket.socket() sock.connect((‘localhost’, 4782)) sock.sendall(("".join([str(i)[-1:] for i in range(2048)])).encode()) data = sock.recv(1024) sock.close() trouble: if buff=1020 Client ..
I am just getting started with asyncio in python. What I am trying to do is below : A Websocket connects to a data provider and keeps listening for new data (Run forever ) Parallelly work on this data and maybe save the data to a file. Make buy /sell decisions(Any parellel operation is okay) ..
I’m learning python, and many times I see myself wanting to have a particular task be ran, without waiting for it in any way. For example, in one particular case, I want an instance of selenium webdriver to open, and at the same time have a warning window open, so I’d like to do something ..
I want to delete a discord channel after a few checks. But before doing so I want to send an embed message and then wait for 3 seconds. I want the waiting period to be non blocking. Is asyncio.sleep() a good way of achieving this? If so then how can I achieve this such that ..
As stated in this question, we can turn a function into a coroutine using the asyncio.coroutine decorator to turn a function into a coroutine like so: def hello(): print(‘Hello World!’) async_hello = asyncio.coroutine(hello) However this function is deprecated as of python 3.8 (replaced by async def …). So how can we do this in 3.8+ ..
I have a google cloud function triggered by HTTP request does following two tasks: def task1(): do sth return info def task2(info): do sth def main(request) info=task1() if (info): task2(info) return info I would like the function returns without waiting the task2 completes. So I did following changes: import asyncio def task1(): do sth return ..
I have a directory with 2Gb worth of 512 .bin blocks each with a unique file name like "12342.bin". Each of these files are read through and are written to a bigger .bin file. I would like to make this async to improve the efficiency of the reads and writes or at least to test ..
In my live phone speech recognition project Python’s asyncio and websockets modules are used basically to enable data exchange between client and server in asynchronous mode. The audio stream which to be recognized comes to the client from inside of a PBX channel (Asterisk PBX works for that) via a local wav file that cumulates ..