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The code below was written by ChatGPT. It is meant to get all the ConversationHandlers available and refresh their state. GPT inserted calls of hard_reset_chat_session(...) in every handler start. It seems to be a good try by GPT, but I wonder, if this code is legal. First of all, it uses some "_"-prefixed methods and one getattr with a hardcoded string argument. Looks a bit dirty for me, but what I really want to know is if it correctly processes different users? And perhaps there are some other pitfalls. async def hard_reset_chat_session(
update: Update | None,
context: ContextTypes.DEFAULT_TYPE
) -> None:
application = getattr(context, "application", None)
if update is not None and application is not None:
seen_handlers: set[int] = set()
def iter_conversation_handlers():
def walk(handler):
if not isinstance(handler, ConversationHandler):
return
handler_id = id(handler)
if handler_id in seen_handlers:
return
seen_handlers.add(handler_id)
yield handler
for child_handler in getattr(handler, "_child_conversations", []):
yield from walk(child_handler)
for handlers in application.handlers.values():
for handler in handlers:
yield from walk(handler)
for handler in iter_conversation_handlers():
try:
conversation_key = handler._get_key(update)
except RuntimeError:
continue
handler._update_state(ConversationHandler.END, conversation_key)
timeout_job = handler.timeout_jobs.pop(conversation_key, None)
if timeout_job is not None:
timeout_job.schedule_removal()
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The code below was written by ChatGPT. It is meant to get all the ConversationHandlers available and refresh their state. GPT inserted calls of hard_reset_chat_session(...) in every handler start. It seems to be a good try by GPT, but I wonder, if this code is legal. First of all, it uses some "_"-prefixed methods and one getattr with a hardcoded string argument. Looks a bit dirty for me, but what I really want to know is if it correctly processes different users? And perhaps there are some other pitfalls.
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