Handling Exceptions with ThreadedWebsocketManager in Python-Binance
When using ThreadedWebsocketManager from python-binance, exception handling can be challenging due to its asynchronous nature and lack of direct access to error messages. However, there are several ways to handle exceptions effectively.
Why is it difficult to catch exceptions?
ThreadedWebsocketManager is designed to handle errors internally, which means you don’t have direct access to the error message. When an exception occurs, Binance will propagate it to the call stack and you won’t get any information about what went wrong.
Solution 1: Wrap in a try block
A simple approach is to wrap the code in a try–except block like this:
This will catch any exceptions thrown by ThreadedWebsocketManager and print an error message. However, keep in mind that this approach may not provide much information about what went wrong.
Solution 2: Use your own exception handler
Another approach is to create your own exception handling function that catches certain exceptions and prints out relevant information:
import log
Create a logger
logger = logging.getLogger(__name__)
def handle_exceptions():
try:
The code that could throw the exception is here
pasha
except ThreadedWebsocketManager.ConnectionException like this:
This will catch ThreadedWebsocketManager.ConnectionException and all other exceptions thrown by ThreadedWebsocketManager and print relevant information about what went wrong.
Solution 3: Use a logging handler
You can also use your own logging handler to collect error messages from ThreadedWebsocketManager. Here is an example:
import threading
import log
Create a logger
logger = logging.getLogger(__name__)
class ThreadedWebsocketManagerLogger(logging.Handler):
This will collect error messages from ThreadedWebsocketManager into a log file.
Conclusion
While there is no direct way to access exception information using ThreadedWebsocketManager, there are a number of approaches you can take to handle exceptions efficiently. Enclosing your code in try-except blocks or creating your own exception handlers are simple solutions, while using log handlers provides more flexibility and control. Choose the approach that best suits your needs.
Ethereum: How to handle exceptions when using ThreadedWebsocketManager from python-binance?
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Handling Exceptions with ThreadedWebsocketManager in Python-Binance
When using
ThreadedWebsocketManager
frompython-binance
, exception handling can be challenging due to its asynchronous nature and lack of direct access to error messages. However, there are several ways to handle exceptions effectively.Why is it difficult to catch exceptions?
ThreadedWebsocketManager
is designed to handle errors internally, which means you don’t have direct access to the error message. When an exception occurs, Binance will propagate it to the call stack and you won’t get any information about what went wrong.Solution 1: Wrap in a try block
A simple approach is to wrap the code in a
try
–except
block like this:This will catch any exceptions thrown by
ThreadedWebsocketManager
and print an error message. However, keep in mind that this approach may not provide much information about what went wrong.Solution 2: Use your own exception handler
Another approach is to create your own exception handling function that catches certain exceptions and prints out relevant information:
This will catch
ThreadedWebsocketManager.ConnectionException
and all other exceptions thrown byThreadedWebsocketManager
and print relevant information about what went wrong.Solution 3: Use a logging handler
You can also use your own logging handler to collect error messages from
ThreadedWebsocketManager
. Here is an example:This will collect error messages from
ThreadedWebsocketManager
into a log file.Conclusion
While there is no direct way to access exception information using
ThreadedWebsocketManager
, there are a number of approaches you can take to handle exceptions efficiently. Enclosing your code in try-except blocks or creating your own exception handlers are simple solutions, while using log handlers provides more flexibility and control. Choose the approach that best suits your needs.