3.3 KiB
Middlewares
aiogram provides powerful mechanism for customizing event handlers via middlewares.
Middlewares in bot framework seems like Middlewares mechanism in web-frameworks (like aiohttp, fastapi, Django or etc.) with small difference - here is implemented two layers of middlewares (before and after filters).
!!! info Middleware is function that triggered on every event received from Telegram Bot API in many points on processing pipeline.
Base theory
As many books and other literature in internet says:
Middleware is reusable software that leverages patterns and frameworks to bridge the gap between the functional requirements of applications and the underlying operating systems, network protocol stacks, and databases.
Middleware can modify, extend or reject processing event in many places of pipeline.
Basics
Middleware instance can be applied for every type of Telegram Event (Update, Message, etc.) in two places
- Outer scope - before processing filters (
#!python <router>.<event>.outer_middleware(...)) - Inner scope - after processing filters but before handler (
#!python <router>.<event>.middleware(...))
(Click on image to zoom it)
!!! warning
Middleware should be subclass of `BaseMiddleware` (`#!python3 from aiogram import BaseMiddleware`) or any async callable
Arguments specification
| Argument | Type | Description |
|---|---|---|
handler |
#!python Callable[[T, Dict[str, Any]], Awaitable[Any]] |
Wrapped handler in middlewares chain |
event |
#!python T |
Incoming event (Subclass of TelegramObject) |
data |
#!python Dict[str, Any] |
Contextual data. Will be mapped to handler arguments |
Examples
!!! danger
Middleware should always call `#!python await handler(event, data)` to propagate event for next middleware/handler
Class-based
from aiogram import BaseMiddleware
from aiogram.api.types import Message
class CounterMiddleware(BaseMiddleware[Message]):
def __init__(self) -> None:
self.counter = 0
async def __call__(
self,
handler: Callable[[Message, Dict[str, Any]], Awaitable[Any]],
event: Message,
data: Dict[str, Any]
) -> Any:
self.counter += 1
data['counter'] = self.counter
return await handler(event, data)
and then
router = Router()
router.message.middleware(CounterMiddleware())
Function-based
@dispatcher.update.outer_middleware()
async def database_transaction_middleware(
handler: Callable[[Update, Dict[str, Any]], Awaitable[Any]],
event: Update,
data: Dict[str, Any]
) -> Any:
async with database.transaction():
return await handler(event, data)
Facts
- Middlewares from outer scope will be called on every incoming event
- Middlewares from inner scope will be called only when filters pass
- Inner middlewares is always calls for
Updateevent type in due to all incoming updates going to specific event type handler through built in update handler
