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

What causes a TimeoutError?

When using asynchronous I/O operations such as websockets, it is important to keep track of the number of active connections and processes to prevent resource wastage. However, in some cases this can lead to a situation where the ThreadedWebsocketManager (binance-python-api) cannot satisfy the demand for WebSocket connections, which leads to timeouts.

Why is this happening?

There are several reasons why this can happen:

• Exhaustion of resources. Your system resources (CPU, memory, etc.) may be consumed by other processes or applications using similar API calls.

• Connection management: ThreadedWebsocketManager cannot always manage connections correctly, which leads to timeouts.

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

How ​​to prevent using ThreadedWebsocketManager (binance-python-api) asyncio.Exceptions.TimeoutError?

To avoid these problems, 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:

import binance


API = BinanceClient(

    access_token="YOUR_ACCESS_TOKEN",

    secret_key="YOUR_SECRET_KEY",

    max_connections = 100,

    Connection_limit=50

)

2. Use an expectation-based approach

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

import asynchronous code

from concurrent.futures import ThreadPoolExecutor


async define websocket_handler(websocket, connection):

    




Processing of an incoming message...

    wait for connection.send(message)


asynchronous definition of main():

    asynchronously with ThreadPoolExecutor(max_workers=10) as executor:

        future = []

        and the truth is:

            future = asyncio.create_task(executor.submit(websocket_handler, websocket, connection))

            Futures.append(future)

            await asyncio.sleep(0.1) 
Wait 100 ms


asynchronous definition of main():

    asynchronously with BinanceClient(access_token="YOUR_ACCESS_TOKEN", secret_key="YOUR_SECRET_KEY") as client:

        and the truth is:

            websocket = await client.get_websocket_connection("YOUR_KEY", "YOUR_SECRET")

            to ask:

                future = []

                while futures:

                    futures = 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

Track the connection status with client.get_websocket_connection_status(). This can help you determine which connections are working and if there are problems with them.

4. Improvement of system resources

Make sure your system has enough resources (CPU, memory, etc.) to handle multiple WebSocket connections.

5. Binance connection limit

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

By taking these steps, you can prevent TimeoutError from occurring due to issues with ThreadedWebsocketManager (binance-python-api).

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