f1a3ee97de
Two issues were causing TTSSpeakFrame(append_to_context=True) greetings to silently lose their trailing words and never fire on_assistant_turn_stopped: - LLMAssistantPushAggregationFrame was emitted without a PTS, so the transport routed it through the audio (sync) queue while word-level TTSTextFrames travel through the clock queue. The aggregation could reach the assistant aggregator before the final words, leaving them orphaned in the buffer. Stamp the frame with `_word_last_pts + 1` when there are word timestamps so it can't overtake them. - The aggregator's LLMAssistantPushAggregationFrame handler called push_aggregation() directly, bypassing _trigger_assistant_turn_stopped. For TTS-only flows there is no LLMFullResponseStartFrame, so the turn start timestamp was never set and on_assistant_turn_stopped never fired. Open a turn (if needed) and trigger stopped from the handler. Fixes #4264.
713 lines
26 KiB
Python
713 lines
26 KiB
Python
#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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"""Tests for frame ordering across TTS service types.
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Covers three patterns:
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- HTTP TTS services (e.g. CartesiaHttpTTSService): yield audio frames synchronously.
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- WebSocket TTS services without pause (e.g. CartesiaTTSService): deliver audio via
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append_to_audio_context from a background receive loop, no frame-processing pause.
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- WebSocket TTS services with pause (e.g. ElevenLabsTTSService): same delivery
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mechanism, but pause downstream frame processing while audio is in flight.
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For all three patterns we verify:
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AggregatedTextFrame → TTSStartedFrame → TTSAudioRawFrame (1+) → TTSStoppedFrame → FooFrame
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repeated for each TTSSpeakFrame, with no cross-group contamination.
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Also covers LLM response flow with push_text_frames=True (non-word-timestamp TTS):
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verifies TTSTextFrame ordering relative to LLMFullResponseEndFrame.
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"""
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import asyncio
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import unittest
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from collections.abc import AsyncGenerator, Sequence
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from dataclasses import dataclass
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import pytest
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from pipecat.frames.frames import (
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AggregatedTextFrame,
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DataFrame,
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Frame,
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LLMAssistantPushAggregationFrame,
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LLMFullResponseEndFrame,
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LLMFullResponseStartFrame,
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TextFrame,
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TTSAudioRawFrame,
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TTSSpeakFrame,
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TTSStartedFrame,
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TTSStoppedFrame,
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TTSTextFrame,
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)
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from pipecat.services.tts_service import TTSService
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from pipecat.tests.utils import run_test
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# ---------------------------------------------------------------------------
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# Test-only frame
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# ---------------------------------------------------------------------------
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_FAKE_AUDIO = b"\x00\x01" * 320 # 320 bytes of silence
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_SAMPLE_RATE = 16000
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@dataclass
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class FooFrame(DataFrame):
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"""Marker frame used to verify relative ordering against TTS audio frames."""
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label: str = ""
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# ---------------------------------------------------------------------------
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# Mock TTS services
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# ---------------------------------------------------------------------------
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class MockHttpTTSService(TTSService):
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"""Simulates an HTTP TTS service (e.g. CartesiaHttpTTSService).
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Audio frames are yielded synchronously from run_tts(), so the audio context
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is fully populated before the next downstream frame is processed.
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TTSStoppedFrame is appended by the base class in on_turn_context_completed()
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once it detects _is_yielding_frames_synchronously is True.
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"""
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def __init__(self, **kwargs):
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super().__init__(
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push_start_frame=True,
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push_stop_frames=True,
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push_text_frames=False,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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def can_generate_metrics(self) -> bool:
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return False
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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yield TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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)
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class MockHttpPushTextTTSService(TTSService):
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"""Simulates an HTTP TTS service with push_text_frames=True.
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Used to test that LLMFullResponseEndFrame is emitted after all TTSTextFrames
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when the TTS service generates text frames itself (non-word-timestamp mode).
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"""
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def __init__(self, **kwargs):
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super().__init__(
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push_start_frame=True,
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push_stop_frames=True,
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push_text_frames=True,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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def can_generate_metrics(self) -> bool:
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return False
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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yield TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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)
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class MockWebSocketTTSService(TTSService):
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"""Simulates a WebSocket TTS service without frame-processing pause (e.g. CartesiaTTSService).
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run_tts() is an empty async generator (signals async delivery). A background
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task appends audio frames and the TTSStoppedFrame to the audio context after a
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short delay, mimicking real WebSocket receive-loop behaviour.
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pause_frame_processing=False means downstream frames (FooFrame) are NOT held.
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"""
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def __init__(self, **kwargs):
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super().__init__(
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push_start_frame=True,
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push_text_frames=False,
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pause_frame_processing=False,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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def can_generate_metrics(self) -> bool:
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return False
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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async def _deliver_audio():
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await asyncio.sleep(0.01)
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await self.append_to_audio_context(
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context_id,
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TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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),
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)
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await self.append_to_audio_context(context_id, TTSStoppedFrame(context_id=context_id))
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await self.remove_audio_context(context_id)
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self.create_task(_deliver_audio(), name=f"mock_ws_deliver_{context_id}")
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if False:
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yield # make this an async generator without yielding anything
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class MockWebSocketPauseTTSService(TTSService):
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"""Simulates a WebSocket TTS service WITH frame-processing pause (e.g. ElevenLabsTTSService).
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Identical to MockWebSocketTTSService except pause_frame_processing=True.
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on_audio_context_completed() resumes downstream processing once the full
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audio context has been pushed, guaranteeing FooFrame arrives after TTSStoppedFrame.
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"""
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def __init__(self, **kwargs):
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super().__init__(
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push_start_frame=True,
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push_text_frames=False,
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pause_frame_processing=True,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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def can_generate_metrics(self) -> bool:
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return False
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async def on_audio_context_completed(self, context_id: str):
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# Resume frame processing after the audio context is fully played out.
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await self._maybe_resume_frame_processing()
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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async def _deliver_audio():
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await asyncio.sleep(0.01)
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await self.append_to_audio_context(
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context_id,
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TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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),
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)
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await self.append_to_audio_context(context_id, TTSStoppedFrame(context_id=context_id))
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await self.remove_audio_context(context_id)
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self.create_task(_deliver_audio(), name=f"mock_ws_pause_deliver_{context_id}")
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if False:
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yield
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class _MockWordTimestampHttpTTSService(TTSService):
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"""HTTP-style TTS: yields audio synchronously, calls add_word_timestamps first.
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``word_times`` pins the exact tokens and their timestamps. When omitted the
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service splits the input text on spaces, assigning 0.1 s gaps.
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"""
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def __init__(
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self,
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includes_inter_frame_spaces: bool = False,
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word_times: list[tuple[str, float]] | None = None,
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**kwargs,
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):
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super().__init__(
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push_start_frame=True,
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push_stop_frames=True,
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push_text_frames=False,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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self._includes_inter_frame_spaces = includes_inter_frame_spaces
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self._word_times = word_times
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def can_generate_metrics(self) -> bool:
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return False
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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word_times = self._word_times or [(w, i * 0.1) for i, w in enumerate(text.split())]
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await self.add_word_timestamps(
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word_times,
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context_id=context_id,
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includes_inter_frame_spaces=self._includes_inter_frame_spaces,
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)
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yield TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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)
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class _MockWordTimestampWSTTSService(TTSService):
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"""WebSocket-style TTS: delivers audio asynchronously via the audio context.
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Word timestamps are enqueued as ``_WordTimestampEntry`` items (audio context
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already exists at call time) and processed by ``_handle_audio_context`` in
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playback order.
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``word_times`` pins the exact tokens and their timestamps. When omitted the
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service splits the input text on spaces, assigning 0.1 s gaps.
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"""
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def __init__(
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self,
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includes_inter_frame_spaces: bool = False,
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word_times: list[tuple[str, float]] | None = None,
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**kwargs,
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):
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super().__init__(
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push_start_frame=True,
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push_text_frames=False,
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pause_frame_processing=False,
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sample_rate=_SAMPLE_RATE,
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**kwargs,
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)
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self._includes_inter_frame_spaces = includes_inter_frame_spaces
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self._word_times = word_times
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def can_generate_metrics(self) -> bool:
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return False
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async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:
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async def _deliver():
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await asyncio.sleep(0.01)
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word_times = self._word_times or [(w, i * 0.1) for i, w in enumerate(text.split())]
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await self.add_word_timestamps(
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word_times,
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context_id=context_id,
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includes_inter_frame_spaces=self._includes_inter_frame_spaces,
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)
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await self.append_to_audio_context(
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context_id,
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TTSAudioRawFrame(
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audio=_FAKE_AUDIO,
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sample_rate=_SAMPLE_RATE,
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num_channels=1,
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context_id=context_id,
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),
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)
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await self.append_to_audio_context(context_id, TTSStoppedFrame(context_id=context_id))
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await self.remove_audio_context(context_id)
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self.create_task(_deliver(), name=f"mock_ws_word_deliver_{context_id}")
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if False:
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yield
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# ---------------------------------------------------------------------------
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# Assertion helper
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# ---------------------------------------------------------------------------
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def _assert_group_ordering(
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down_frames: Sequence[Frame],
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expected_groups: list[tuple[str, str]],
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) -> None:
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"""Assert two (or more) TTS+FooFrame groups are in strict order.
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Args:
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down_frames: All downstream frames received by the test sink.
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expected_groups: List of (tts_text, foo_label) pairs, one per TTSSpeakFrame.
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tts_text is unused in assertions today but included for readability.
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"""
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relevant = [
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f
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for f in down_frames
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if isinstance(
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f, (AggregatedTextFrame, TTSStartedFrame, TTSAudioRawFrame, TTSStoppedFrame, FooFrame)
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)
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]
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# Locate the FooFrames that delimit groups.
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foo_indices = [i for i, f in enumerate(relevant) if isinstance(f, FooFrame)]
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assert len(foo_indices) == len(expected_groups), (
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f"Expected {len(expected_groups)} FooFrames, got {len(foo_indices)}.\n"
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f"Relevant frames: {[type(f).__name__ for f in relevant]}"
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)
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# Build groups: everything up to and including each FooFrame.
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groups: list[list[Frame]] = []
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prev = 0
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for idx in foo_indices:
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groups.append(relevant[prev : idx + 1])
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prev = idx + 1
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for group, (_, foo_label) in zip(groups, expected_groups):
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types = [type(f) for f in group]
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type_names = [t.__name__ for t in types]
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assert AggregatedTextFrame in types, (
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f"Group {foo_label!r}: missing AggregatedTextFrame. Got: {type_names}"
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)
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assert TTSStartedFrame in types, (
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f"Group {foo_label!r}: missing TTSStartedFrame. Got: {type_names}"
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)
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assert TTSAudioRawFrame in types, (
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f"Group {foo_label!r}: missing TTSAudioRawFrame. Got: {type_names}"
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)
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assert TTSStoppedFrame in types, (
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f"Group {foo_label!r}: missing TTSStoppedFrame. Got: {type_names}"
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)
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started_idx = types.index(TTSStartedFrame)
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stopped_idx = types.index(TTSStoppedFrame)
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foo_idx = types.index(FooFrame)
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assert started_idx < stopped_idx, (
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f"Group {foo_label!r}: TTSStartedFrame (pos {started_idx}) must precede "
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f"TTSStoppedFrame (pos {stopped_idx}). Got: {type_names}"
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)
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assert stopped_idx < foo_idx, (
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f"Group {foo_label!r}: TTSStoppedFrame (pos {stopped_idx}) must precede "
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f"FooFrame (pos {foo_idx}). Got: {type_names}"
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)
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# All frames between TTSStartedFrame and TTSStoppedFrame must be audio.
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mid_types = types[started_idx + 1 : stopped_idx]
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for t in mid_types:
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assert t is TTSAudioRawFrame, (
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f"Group {foo_label!r}: unexpected frame {t.__name__!r} between "
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f"TTSStartedFrame and TTSStoppedFrame. Got: {type_names}"
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)
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# Check the FooFrame label.
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actual_label = group[foo_idx].label
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assert actual_label == foo_label, (
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f"Expected FooFrame(label={foo_label!r}), got label={actual_label!r}"
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)
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# ---------------------------------------------------------------------------
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# Tests
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# ---------------------------------------------------------------------------
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_GROUPS = [("test 1", "1"), ("test 2", "2")]
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|
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def _make_frames_no_sleep() -> list[Frame]:
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"""Return two TTSSpeakFrame+FooFrame pairs sent back-to-back.
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Only correct for services that pause downstream processing until the audio
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context is fully consumed (pause_frame_processing=True + on_audio_context_completed).
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"""
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return [
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TTSSpeakFrame(text="test 1", append_to_context=False),
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FooFrame(label="1"),
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TTSSpeakFrame(text="test 2", append_to_context=False),
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FooFrame(label="2"),
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]
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|
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def _print_frames_received(frames_received) -> None:
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print("FRAMES RECEIVED:")
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for frame in frames_received[0]:
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print(frame.name)
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@pytest.mark.asyncio
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async def test_http_tts_frame_ordering():
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"""HTTP TTS services yield audio synchronously."""
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tts = MockHttpTTSService()
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frames_received = await run_test(tts, frames_to_send=_make_frames_no_sleep())
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# only for debugging
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_print_frames_received(frames_received)
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_assert_group_ordering(frames_received[0], _GROUPS)
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@pytest.mark.asyncio
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async def test_websocket_tts_no_pause_frame_ordering():
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"""WebSocket TTS services without pause_frame_processing."""
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tts = MockWebSocketTTSService()
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frames_received = await run_test(tts, frames_to_send=_make_frames_no_sleep())
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_assert_group_ordering(frames_received[0], _GROUPS)
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|
|
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@pytest.mark.asyncio
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async def test_websocket_tts_with_pause_frame_ordering():
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"""WebSocket TTS services with pause_frame_processing=True."""
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tts = MockWebSocketPauseTTSService()
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frames_received = await run_test(tts, frames_to_send=_make_frames_no_sleep())
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_assert_group_ordering(frames_received[0], _GROUPS)
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|
|
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@pytest.mark.asyncio
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async def test_http_push_text_llm_response_end_after_tts_text():
|
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"""LLMFullResponseEndFrame must arrive after all TTSTextFrames.
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|
|
Simulates an LLM response producing multiple sentences through an HTTP TTS
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service with push_text_frames=True. Each sentence is sent as a separate
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TextFrame terminated by a period so the sentence aggregator flushes it.
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The final sentence is flushed by the LLMFullResponseEndFrame itself.
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Expected downstream ordering:
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LLMFullResponseStartFrame
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... TTSTextFrame (per sentence) ...
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LLMFullResponseEndFrame ← must come AFTER all TTSTextFrames
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"""
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tts = MockHttpPushTextTTSService()
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# Two sentences: the first ends with a period (triggers aggregator flush),
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# the second does NOT (will be flushed by LLMFullResponseEndFrame).
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frames_to_send = [
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LLMFullResponseStartFrame(),
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TextFrame(text="Hello there. "),
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TextFrame(text="How are you?"),
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LLMFullResponseEndFrame(),
|
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]
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frames_received = await run_test(tts, frames_to_send=frames_to_send)
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down = frames_received[0]
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|
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# Collect relevant frame types for ordering check.
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relevant = [
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f
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for f in down
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if isinstance(f, (LLMFullResponseStartFrame, TTSTextFrame, LLMFullResponseEndFrame))
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]
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type_names = [type(f).__name__ for f in relevant]
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# There should be exactly one LLMFullResponseStartFrame, 2 TTSTextFrames, 1 LLMFullResponseEndFrame.
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tts_text_frames = [f for f in relevant if isinstance(f, TTSTextFrame)]
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end_frames = [f for f in relevant if isinstance(f, LLMFullResponseEndFrame)]
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start_frames = [f for f in relevant if isinstance(f, LLMFullResponseStartFrame)]
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assert len(start_frames) == 1, (
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f"Expected 1 LLMFullResponseStartFrame, got {len(start_frames)}: {type_names}"
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)
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assert len(tts_text_frames) == 2, (
|
|
f"Expected 2 TTSTextFrames, got {len(tts_text_frames)}: {type_names}"
|
|
)
|
|
assert len(end_frames) == 1, (
|
|
f"Expected 1 LLMFullResponseEndFrame, got {len(end_frames)}: {type_names}"
|
|
)
|
|
|
|
# The critical check: LLMFullResponseEndFrame must come after ALL TTSTextFrames.
|
|
end_idx = relevant.index(end_frames[0])
|
|
last_tts_text_idx = max(relevant.index(f) for f in tts_text_frames)
|
|
|
|
assert last_tts_text_idx < end_idx, (
|
|
f"LLMFullResponseEndFrame (pos {end_idx}) must come after the last "
|
|
f"TTSTextFrame (pos {last_tts_text_idx}). Got: {type_names}"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_http_word_timestamps_verbatim_tokens():
|
|
"""HTTP path: text, PTS order, flag, and text-before-audio are all verified.
|
|
|
|
Word timestamps arrive in the audio context queue before the audio frame.
|
|
_handle_audio_context caches them, then flushes when the first audio frame
|
|
arrives (start_word_timestamps), so TTSTextFrames must be emitted before
|
|
the TTSAudioRawFrame in the downstream sequence.
|
|
"""
|
|
word_times = [("hello", 0.0), ("world", 0.2)]
|
|
tts = _MockWordTimestampHttpTTSService(
|
|
includes_inter_frame_spaces=True,
|
|
word_times=word_times,
|
|
)
|
|
frames_received = await run_test(
|
|
tts,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world", append_to_context=False)],
|
|
)
|
|
down = frames_received[0]
|
|
tts_text_frames = [f for f in down if isinstance(f, TTSTextFrame)]
|
|
audio_frames = [f for f in down if isinstance(f, TTSAudioRawFrame)]
|
|
|
|
assert [f.text for f in tts_text_frames] == ["hello", "world"]
|
|
assert all(f.includes_inter_frame_spaces is True for f in tts_text_frames)
|
|
|
|
pts_values = [f.pts for f in tts_text_frames]
|
|
assert pts_values == sorted(pts_values) and len(set(pts_values)) == len(pts_values), (
|
|
f"PTS values must be strictly increasing, got {pts_values}"
|
|
)
|
|
|
|
# TTSTextFrames must precede the audio frame (they are flushed from cache
|
|
# at the moment the first audio chunk sets the timestamp baseline).
|
|
last_text_idx = max(down.index(f) for f in tts_text_frames)
|
|
first_audio_idx = down.index(audio_frames[0])
|
|
assert last_text_idx < first_audio_idx, (
|
|
"TTSTextFrames must appear before TTSAudioRawFrame in the downstream sequence"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_http_word_timestamps_punctuation_tokens():
|
|
"""Verbatim punctuation tokens are preserved with flag=True; default flag is False.
|
|
|
|
Models the Inworld API scenario: the TTS returns tokens exactly as sent.
|
|
Space placement rule:
|
|
- word-follows-word: space is the leading char of the next word (e.g. " world")
|
|
- word-follows-punctuation: space is the trailing char of the punctuation token
|
|
(e.g. "! "), so the following word token carries no leading space.
|
|
The flag must reach every frame and the text must not be modified.
|
|
Also acts as a regression guard that flag=False is the default.
|
|
"""
|
|
verbatim_tokens = [
|
|
("hello", 0.0),
|
|
(" world", 0.15),
|
|
("! ", 0.3),
|
|
("How", 0.45),
|
|
(" are", 0.6),
|
|
(" you", 0.75),
|
|
("?", 0.9),
|
|
]
|
|
expected_texts = ["hello", " world", "! ", "How", " are", " you", "?"]
|
|
|
|
# With flag=True: all tokens verbatim, all frames carry the flag.
|
|
tts_ifs = _MockWordTimestampHttpTTSService(
|
|
includes_inter_frame_spaces=True,
|
|
word_times=verbatim_tokens,
|
|
)
|
|
frames_ifs = await run_test(
|
|
tts_ifs,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world! How are you?", append_to_context=False)],
|
|
)
|
|
text_frames_ifs = [f for f in frames_ifs[0] if isinstance(f, TTSTextFrame)]
|
|
assert [f.text for f in text_frames_ifs] == expected_texts, (
|
|
"Verbatim tokens must not be modified"
|
|
)
|
|
assert all(f.includes_inter_frame_spaces is True for f in text_frames_ifs)
|
|
|
|
# With flag=False (default): same tokens, flag must be False on every frame.
|
|
tts_plain = _MockWordTimestampHttpTTSService(
|
|
word_times=verbatim_tokens,
|
|
)
|
|
frames_plain = await run_test(
|
|
tts_plain,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world! How are you?", append_to_context=False)],
|
|
)
|
|
text_frames_plain = [f for f in frames_plain[0] if isinstance(f, TTSTextFrame)]
|
|
assert [f.text for f in text_frames_plain] == expected_texts
|
|
assert all(f.includes_inter_frame_spaces is False for f in text_frames_plain)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_websocket_word_timestamps_verbatim_tokens():
|
|
"""WebSocket path: _WordTimestampEntry carries verbatim text, PTS, and flag.
|
|
|
|
Unlike the HTTP path the word timestamps are sent asynchronously from a
|
|
background task. They arrive before the audio frame and are cached until
|
|
start_word_timestamps() fires, so the same text-before-audio ordering
|
|
property must hold.
|
|
"""
|
|
word_times = [("hello", 0.0), ("world", 0.2)]
|
|
tts = _MockWordTimestampWSTTSService(
|
|
includes_inter_frame_spaces=True,
|
|
word_times=word_times,
|
|
)
|
|
frames_received = await run_test(
|
|
tts,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world", append_to_context=False)],
|
|
)
|
|
down = frames_received[0]
|
|
tts_text_frames = [f for f in down if isinstance(f, TTSTextFrame)]
|
|
audio_frames = [f for f in down if isinstance(f, TTSAudioRawFrame)]
|
|
|
|
assert [f.text for f in tts_text_frames] == ["hello", "world"]
|
|
assert all(f.includes_inter_frame_spaces is True for f in tts_text_frames)
|
|
|
|
pts_values = [f.pts for f in tts_text_frames]
|
|
assert pts_values == sorted(pts_values) and len(set(pts_values)) == len(pts_values), (
|
|
f"PTS values must be strictly increasing, got {pts_values}"
|
|
)
|
|
|
|
last_text_idx = max(down.index(f) for f in tts_text_frames)
|
|
first_audio_idx = down.index(audio_frames[0])
|
|
assert last_text_idx < first_audio_idx, (
|
|
"TTSTextFrames must appear before TTSAudioRawFrame in the downstream sequence"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_websocket_word_timestamps_punctuation_tokens():
|
|
"""WebSocket path: verbatim punctuation tokens reach TTSTextFrame unchanged."""
|
|
verbatim_tokens = [
|
|
("hello", 0.0),
|
|
(" world", 0.15),
|
|
("! ", 0.3),
|
|
("How", 0.45),
|
|
(" are", 0.6),
|
|
(" you", 0.75),
|
|
("?", 0.9),
|
|
]
|
|
tts = _MockWordTimestampWSTTSService(
|
|
includes_inter_frame_spaces=True,
|
|
word_times=verbatim_tokens,
|
|
)
|
|
frames_received = await run_test(
|
|
tts,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world! How are you?", append_to_context=False)],
|
|
)
|
|
text_frames = [f for f in frames_received[0] if isinstance(f, TTSTextFrame)]
|
|
assert [f.text for f in text_frames] == ["hello", " world", "! ", "How", " are", " you", "?"], (
|
|
"Verbatim tokens must not be modified"
|
|
)
|
|
assert all(f.includes_inter_frame_spaces is True for f in text_frames)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_push_aggregation_pts_after_last_word():
|
|
"""LLMAssistantPushAggregationFrame must carry PTS > last TTSTextFrame PTS.
|
|
|
|
Without a PTS the aggregation frame routes through the transport's audio
|
|
(sync) queue while word-level TTSTextFrames go through the clock queue, so
|
|
it can overtake the last words and leave the trailing text orphaned in the
|
|
aggregator buffer (issue #4264).
|
|
"""
|
|
word_times = [("hello", 0.0), ("world", 0.2)]
|
|
tts = _MockWordTimestampHttpTTSService(word_times=word_times)
|
|
frames_received = await run_test(
|
|
tts,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world", append_to_context=True)],
|
|
)
|
|
down = frames_received[0]
|
|
text_frames = [f for f in down if isinstance(f, TTSTextFrame)]
|
|
push_frames = [f for f in down if isinstance(f, LLMAssistantPushAggregationFrame)]
|
|
|
|
assert len(push_frames) == 1, (
|
|
f"Expected exactly one LLMAssistantPushAggregationFrame, got {len(push_frames)}"
|
|
)
|
|
assert text_frames, "Expected TTSTextFrames to be emitted"
|
|
|
|
last_word_pts = max(f.pts for f in text_frames)
|
|
assert push_frames[0].pts is not None and push_frames[0].pts > last_word_pts, (
|
|
f"LLMAssistantPushAggregationFrame.pts ({push_frames[0].pts}) must exceed "
|
|
f"the last TTSTextFrame PTS ({last_word_pts}) so it can't overtake it in the "
|
|
f"transport's clock queue"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_push_aggregation_no_pts_without_word_timestamps():
|
|
"""Aggregation frame stays unstamped when no word timestamps were emitted.
|
|
|
|
Without word frames, both the aggregation frame and any other downstream
|
|
frames travel through the transport's sync queue in order, so adding a PTS
|
|
would needlessly route it through the clock queue.
|
|
"""
|
|
tts = MockHttpTTSService()
|
|
frames_received = await run_test(
|
|
tts,
|
|
frames_to_send=[TTSSpeakFrame(text="hello world", append_to_context=True)],
|
|
)
|
|
push_frames = [f for f in frames_received[0] if isinstance(f, LLMAssistantPushAggregationFrame)]
|
|
assert len(push_frames) == 1
|
|
assert push_frames[0].pts is None or push_frames[0].pts == 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|