Using a Python Telegram bot library, I send a message and later aim to edit it instead of sending another. How do I update the last message? Example:
def process_update(bot_instance, incoming):
response = bot_instance.send_message(chat_id=incoming.chat.id, text='Initial reply.')
time.sleep(5)
bot_instance.edit_message_text(text='Revised reply.', chat_id=incoming.chat.id, message_id=response.message_id)
hey, i had the same prob. i just kept the response and then called edit_message_text using its id. sometimes a tiny delay helps to make sure the message registred ok
In my experience, retaining the response object from the initial send_message call is essential, as it allows you to refer directly to the message you intend to edit. I’ve also encountered situations where small timing inconsistencies cause the message not to be recognized, so a brief delay or verifying the message’s existence before attempting an edit is helpful. Implementing proper error handling has saved me from unexpected exceptions if the message was deleted or modified externally, thereby ensuring that the bot’s response remains both responsive and accurate.
I have encountered a similar challenge when editing messages, and my approach was to ensure the initial send_message call returned a valid response object. In my case, incorporating a slight wait to let the message be fully processed has helped prevent errors during the edit. I also wrapped the editing step in a try-except block to catch any unexpected issues, like the message not being available. This method has proven reliable in maintaining smoother bot interactions and mitigating timing-related inconsistencies encountered on different servers.
hey, i solved mine by rechecking the message id and adding a bit more delay. sometimes the api sends stale ids so a short wait and catching minor errors helped. try tweaking the timing, might save ya from random fails.
Working on a similar project, I noticed that sometimes it helps to integrate the message sending process with an asynchronous callback that confirms delivery before attempting an edit. My approach was to ensure the initial call had fully completed by using callbacks or await statements in an async environment instead of a fixed delay. This helps because network time and API response times can vary. Additionally, robust exception handling when editing the message can catch failures caused by these variations and allow the bot to retry or log the error for further investigation.