I can help you with that. The ThreadedWebsocketManager issue is a common issue when using the Binance Python API, and I will explain it in detail.

What causes TimeoutError?

When using asynchronous IO operations such as websockets, it is essential to keep track of the number of active connections and processes to prevent wasting resources. However, in some cases, this can lead to a situation where ThreadedWebsocketManager (binance-python-api) cannot keep up with the demand for WebSocket connections, resulting in timeouts.

Why does this happen?

There are several reasons why this can happen:

• Resource exhaustion: Your system resources (CPU, memory, etc.) may be exhausted by other processes or applications using similar API calls.

• Connection management: ThreadedWebsocketManager may not always manage connections correctly, resulting in timeouts.

• Socket Allocation: Binance has allocate sockets too quickly for the number of connections you need.

How ​​ to prevent ThreadedWebsocketManager (binance-python-api) from asyncio.exceptions.TimeoutError?

To avoid these issues, follow these steps:

1. Increase the connection limit

You can increase the connection limit by setting max_connections and connections_limit when starting the Binance API client:

Binance amount
api = BinanceCustomer(
access_token="YOUR_ACCESS_TOKEN",
secret_key="YOUR_SECRET_KEY",
max_connections=100,
Connection_limit=50
)

2. Use queue-based approach

Instead of using ThreadedWebsocketManager, consider using a queue-based approach to manage WebSocket connections:

async import
from concurrent.futures import ThreadPoolExecutor
async def websocket_handler(websocket, connection):





Handling incoming message...
await connection.send(message)
async def main():
asynchronously with ThreadPoolExecutor(max_workers=10) and executor:
futures = []
while true:
future = asyncio.create_task(executor.submit(websocket_handler, websocket, connection))
futures.append(future)
wait asyncio.sleep(0.1) 
Wait 100ms
async def main():
asynchronously with BinanceClient(access_token="YOUR_ACCESS_TOKEN", secret_key="YOUR_SECRET_KEY") and client:
while true:
websocket = await client.get_websocket_connection("YOUR_API_KEY", "YOUR_API_SECRET")
try:
futures = []
while futures:
future = asyncio.create_task(futures.pop(0))

                    await future.result()

            except asyncio.TimeoutError:

                
Fix timeout error

                print("A timeout error occurred!")

3. Monitor the connection status

Monitor the connection status using client.get_websocket_connection_status(). This can help you determine which connections are running and if they are experiencing problems.

4. Improve system resources

Ensure that your system has sufficient resources (CPU, memory, etc.) to handle multiple WebSocket connections.

5. Binance’s Connection Limit

Finally, please note that Binance’s connection limit can change at any time. Always check their documentation for updates on this topic.

By implementing these measures, you should be able to prevent TimeoutError from occurring due to issues with ThreadedWebsocketManager (binance-python-api).