Merge pull request #4435 from pipecat-ai/filipi/uninterruptible_frame
Refactoring TTSService to preserve uninterruptible frames.
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@@ -50,6 +50,7 @@ from pipecat.services.ai_service import AIService
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from pipecat.services.settings import TTSSettings, is_given
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from pipecat.services.websocket_service import WebsocketService
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from pipecat.transcriptions.language import Language
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from pipecat.utils.frame_queue import FrameQueue
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from pipecat.utils.text.base_text_filter import BaseTextFilter
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from pipecat.utils.text.simple_text_aggregator import SimpleTextAggregator
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from pipecat.utils.time import seconds_to_nanoseconds
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@@ -325,6 +326,20 @@ class TTSService(AIService):
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self._audio_contexts: dict[str, asyncio.Queue] = {}
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self._audio_context_task: asyncio.Task | None = None
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# Single FIFO queue that serializes everything the TTS service emits downstream.
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# Items can be:
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# str – an audio context ID: process the per-context audio queue in full before
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# moving on (see _handle_audio_context).
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# Frame – a non-system downstream frame (e.g. AggregatedTextFrame, FooFrame) that
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# must be emitted in-order relative to surrounding audio contexts.
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# None – shutdown sentinel (sent by stop()).
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# Created once here so it survives interruptions: on interruption we call reset()
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# which drops non-UninterruptibleFrame items while keeping uninterruptible ones
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# (e.g. FunctionCallResultFrame) that must not be lost mid-flight.
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self._serialization_queue: FrameQueue = FrameQueue(
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frame_getter=lambda item: item if isinstance(item, Frame) else None
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)
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self._register_event_handler("on_connected")
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self._register_event_handler("on_disconnected")
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self._register_event_handler("on_connection_error")
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@@ -875,6 +890,9 @@ class TTSService(AIService):
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await self.reset_word_timestamps()
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await self._stop_audio_context_task()
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# Drops non-UninterruptibleFrame items while keeping uninterruptible ones
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# (e.g. FunctionCallResultFrame) that must not be lost mid-flight.
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self._serialization_queue.reset()
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audio_contexts = self.get_audio_contexts()
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if audio_contexts:
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for ctx_id in audio_contexts:
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@@ -1298,14 +1316,6 @@ class TTSService(AIService):
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def _create_audio_context_task(self):
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if not self._audio_context_task:
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# Single FIFO queue that serializes everything the TTS service emits downstream.
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# Items can be:
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# str – an audio context ID: process the per-context audio queue in full before
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# moving on (see _handle_audio_context).
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# Frame – a non-system downstream frame (e.g. AggregatedTextFrame, FooFrame) that
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# must be emitted in-order relative to surrounding audio contexts.
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# None – shutdown sentinel (sent by stop()).
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self._serialization_queue: asyncio.Queue = asyncio.Queue()
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self._audio_contexts: dict[str, asyncio.Queue] = {}
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self._audio_context_task = self.create_task(self._audio_context_task_handler())
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