Stop traversing brittle nested dictionaries to extract message sender IDs and text. wconnect encapsulates the chaos of the Telegram Bot API into a clean, predictable WMessage domain model.
Here is how you implement WMessage Domain Model in production with wconnect:
from wconnect import WMessage, Wtelegram
bot = Wtelegram()
@bot.on_message(value_type="text")
def process_message(msg: WMessage) -> None:
# Clean, typed access to all event metadata
print(f"Author: {msg.username} (ID: {msg.user_id})")
print(f"Chat Context: {msg.chat_id} | Message ID: {msg.message_id}")
print(f"Payload: {msg.text} | Type: {msg.value_type}")
bot.run_consumers(block=True)
Why This Matters:
- Zero boilerplate decorators (
@bot.on_command,@bot.on_message,@bot.consumer). - Stream binary files directly from RAM using
WFile. - Non-blocking daemon poller with
run_consumers(block=False).
Check out the repo on GitHub!
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