processors: add AsyncGeneratorProcessor
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@@ -9,6 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Added
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- Added `AsyncGeneratorProcessor`. This processor can be used together with a
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`FrameSerializer` as an async generator. It provides a `generator()` function
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that returns an `AsyncGenerator` and that yields serialized frames.
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- Added `EndTaskFrame` and `CancelTaskFrame`. These are new frames that are
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meant to be pushed upstream to tell the pipeline task to stop nicely or
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immediately respectively.
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42
src/pipecat/processors/async_generator.py
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42
src/pipecat/processors/async_generator.py
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@@ -0,0 +1,42 @@
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#
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# Copyright (c) 2024, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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from typing import Any, AsyncGenerator
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from pipecat.frames.frames import (
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CancelFrame,
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EndFrame,
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Frame,
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)
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from pipecat.processors.frame_processor import FrameProcessor, FrameDirection
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from pipecat.serializers.base_serializer import FrameSerializer
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class AsyncGeneratorProcessor(FrameProcessor):
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def __init__(self, *, serializer: FrameSerializer, **kwargs):
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super().__init__(**kwargs)
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self._serializer = serializer
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self._data_queue = asyncio.Queue()
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, (CancelFrame, EndFrame)):
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await self._data_queue.put(None)
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else:
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data = self._serializer.serialize(frame)
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if data:
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await self._data_queue.put(data)
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async def generator(self) -> AsyncGenerator[Any, None]:
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running = True
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while running:
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data = await self._data_queue.get()
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running = data is not None
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if data:
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yield data
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