AsyncHandler

def add_call(
    self,
    *,
    handler: HandlerCallWrapper[MsgType, P_HandlerParams, T_HandlerReturn],
    parser: CustomParser[MsgType, Any],
    decoder: CustomDecoder[Any],
    dependant: CallModel[P_HandlerParams, T_HandlerReturn],
    filter: Filter[StreamMessage[MsgType]],
    middlewares: Optional[Sequence[Callable[[Any], BaseMiddleware]]],
) -> None:
    """Adds a call to the handler.

    Args:
        handler: The handler call wrapper.
        parser: The custom parser.
        decoder: The custom decoder.
        dependant: The call model.
        filter: The filter for stream messages.
        middlewares: Optional sequence of middlewares.

    Returns:
        None
    !!! note

        The above docstring is autogenerated by docstring-gen library (https://docstring-gen.airt.ai)
    """
    self.calls.append(
        (
            handler,
            to_async(filter),
            to_async(parser) if parser else None,  # type: ignore[arg-type]
            to_async(decoder) if decoder else None,  # type: ignore[arg-type]
            middlewares or (),
            dependant,
        )
    )

@abstractmethod
async def close(self) -> None:
    raise NotImplementedError()

@override
async def consume(self, msg: MsgType) -> SendableMessage:  # type: ignore[override]
    """Consume a message asynchronously.

    Args:
        msg: The message to be consumed.

    Returns:
        The sendable message.

    Raises:
        StopConsume: If the consumption needs to be stopped.

    Raises:
        Exception: If an error occurs during consumption.
    !!! note

        The above docstring is autogenerated by docstring-gen library (https://docstring-gen.airt.ai)
    """
    result: Optional[WrappedReturn[SendableMessage]] = None
    result_msg: SendableMessage = None

    async with AsyncExitStack() as stack:
        gl_middlewares: List[BaseMiddleware] = []

        stack.enter_context(context.scope("handler_", self))

        for m in self.global_middlewares:
            gl_middlewares.append(await stack.enter_async_context(m(msg)))

        logged = False
        processed = False
        for handler, filter_, parser, decoder, middlewares, _ in self.calls:
            local_middlewares: List[BaseMiddleware] = []
            for local_m in middlewares:
                local_middlewares.append(
                    await stack.enter_async_context(local_m(msg))
                )

            all_middlewares = gl_middlewares + local_middlewares

            # TODO: add parser & decoder caches
            message = await parser(msg)

            if not logged:  # pragma: no branch
                log_context_tag = context.set_local(
                    "log_context", self.log_context_builder(message)
                )

            message.decoded_body = await decoder(message)
            message.processed = processed

            if await filter_(message):
                assert (  # nosec B101
                    not processed
                ), "You can't proccess a message with multiple consumers"

                try:
                    async with AsyncExitStack() as consume_stack:
                        for m_consume in all_middlewares:
                            message.decoded_body = (
                                await consume_stack.enter_async_context(
                                    m_consume.consume_scope(message.decoded_body)
                                )
                            )

                        result = await cast(
                            Awaitable[Optional[WrappedReturn[SendableMessage]]],
                            handler.call_wrapped(message),
                        )

                    if result is not None:
                        result_msg, pub_response = result

                        # TODO: suppress all publishing errors and raise them after all publishers will be tried
                        for publisher in (pub_response, *handler._publishers):
                            if publisher is not None:
                                async with AsyncExitStack() as pub_stack:
                                    result_to_send = result_msg

                                    for m_pub in all_middlewares:
                                        result_to_send = (
                                            await pub_stack.enter_async_context(
                                                m_pub.publish_scope(result_to_send)
                                            )
                                        )

                                    await publisher.publish(
                                        message=result_to_send,
                                        correlation_id=message.correlation_id,
                                    )

                except StopConsume:
                    await self.close()
                    handler.trigger()

                except HandlerException as e:  # pragma: no cover
                    handler.trigger()
                    raise e

                except Exception as e:
                    handler.trigger(error=e)
                    raise e

                else:
                    handler.trigger(result=result[0] if result else None)
                    message.processed = processed = True
                    if IS_OPTIMIZED:  # pragma: no cover
                        break

        assert processed, "You have to consume message"  # nosec B101

    context.reset_local("log_context", log_context_tag)
    return result_msg

def get_payloads(self) -> List[Tuple[AnyDict, str]]:
    payloads: List[Tuple[AnyDict, str]] = []

    for h, _, _, _, _, dep in self.calls:
        body = parse_handler_params(
            dep, prefix=f"{self._title or self.call_name}:Message"
        )
        payloads.append((body, to_camelcase(unwrap(h._original_call).__name__)))

    return payloads

@abstractproperty
def name(self) -> str:
    raise NotImplementedError()

def schema(self) -> Dict[str, Channel]:  # pragma: no cover
    return {}

@abstractmethod
async def start(self) -> None:
    raise NotImplementedError()