Zero-code media pipelines: Automatic attachment ingestion with auto_save_in.

Zero-code media pipelines now allow for automatic attachment ingestion, eliminating the need for 40 lines of boilerplate code to download images from Telegram CDN before running inference. The wconnect s auto_save_in feature directly places incoming files onto the filesystem before the function executes. To implement this in production, import the Wtelegram and WMessage classes from wconnect.

Create a bot instance with auto_save_in set to the desired directory, such as './vault_inbox'. Use the @bot.on_message decorator with value_type set to 'image' to handle incoming media. When a message with an image is received, the file is already on disk, ready for processing with OpenCV or YOLO. Simply print the file's path and send a message to the chat indicating the image is queued for ML inspection.

Finally, call bot.run_consumers in a blocking manner to start processing the files. This approach removes the need for boilerplate decorators and enables non-blocking processing using a WFile-based, RAM-based stream.