from __future__ import annotations import unittest from owner_voice_pet.config import AppConfig from owner_voice_pet.conversation import ConversationContext from owner_voice_pet.llm import MockLlmProvider from owner_voice_pet.models import AudioFrame, AudioSegment, Transcript from owner_voice_pet.runtime import LiveVoiceRuntime from owner_voice_pet.transport import MemoryAudioTransport from owner_voice_pet.tts import SineTtsProvider from owner_voice_pet.vad import EnergyVadProvider, VadRecorder def segment_frames(start_id: int, start_ms: int) -> list[AudioFrame]: return [ AudioFrame(b"\xff\x7f", 16000, 1, start_ms, start_id, {"duration_ms": 20, "speech": True}), AudioFrame(b"\xff\x7f", 16000, 1, start_ms + 20, start_id + 1, {"duration_ms": 20, "speech": True}), AudioFrame(b"\x00\x00", 16000, 1, start_ms + 40, start_id + 2, {"duration_ms": 20, "speech": False}), AudioFrame(b"\x00\x00", 16000, 1, start_ms + 60, start_id + 3, {"duration_ms": 20, "speech": False}), ] class QueueSttProvider: def __init__(self, texts: list[str]) -> None: self.texts = list(texts) self.calls: list[AudioSegment] = [] self.loaded = False def load(self) -> None: self.loaded = True def transcribe(self, segment: AudioSegment) -> Transcript: self.calls.append(segment) text = self.texts.pop(0) return Transcript(text, "zh", 1.0, segment.duration_ms, "queue-stt") class RecordingReporter: def __init__(self) -> None: self.statuses: list[str] = [] self.errors: list[str] = [] def status(self, state: str, message: str, *, turn_id: int | None = None) -> None: self.statuses.append(message) def error(self, stage: str, code: str, message: str, *, turn_id: int | None = None) -> None: self.errors.append(f"{stage}:{code}:{message}") def make_runtime(texts: list[str], context: ConversationContext | None = None) -> tuple[LiveVoiceRuntime, QueueSttProvider, MockLlmProvider, MemoryAudioTransport, RecordingReporter]: frames = [] for idx in range(4): frames.extend(segment_frames(idx * 4, idx * 80)) transport = MemoryAudioTransport(frames) stt = QueueSttProvider(texts) llm = MockLlmProvider(["这是答复。"]) tts = SineTtsProvider() reporter = RecordingReporter() runtime = LiveVoiceRuntime( config=AppConfig(llm_api_key="secret", speech_provider="cloud"), transport=transport, vad_recorder=VadRecorder(EnergyVadProvider(), min_duration_ms=40, end_silence_ms=40), stt=stt, llm=llm, tts=tts, context=context or ConversationContext(), reporter=reporter, ) return runtime, stt, llm, transport, reporter class LiveRuntimeTests(unittest.TestCase): def test_repeated_runtime_runs_two_turns_and_returns_to_standby(self) -> None: runtime, stt, llm, transport, reporter = make_runtime( ["小杰小杰", "第一问", "小杰小杰", "第二问"] ) summary = runtime.run(max_turns=2) self.assertEqual(summary.completed_turns, 2) self.assertEqual(len(stt.calls), 4) self.assertEqual(len(llm.calls), 2) self.assertEqual(len(transport.played_segments), 2) self.assertIn("恢复待机:可继续唤醒", reporter.statuses[-1]) def test_temporary_context_is_sent_to_second_llm_call(self) -> None: runtime, _, llm, _, _ = make_runtime(["小杰小杰", "第一问", "小杰小杰", "第二问"]) runtime.run(max_turns=2) second_call_text = [message.content for message in llm.calls[1]] self.assertIn("第一问", second_call_text) self.assertIn("这是答复。", second_call_text) self.assertEqual(second_call_text[-1], "第二问") def test_new_runtime_context_starts_empty(self) -> None: first_context = ConversationContext() first_runtime, _, _, _, _ = make_runtime(["小杰小杰", "第一问"], context=first_context) first_runtime.run(max_turns=1) self.assertGreater(len(first_context.messages()), 0) second_context = ConversationContext() make_runtime(["小杰小杰", "第二问"], context=second_context) self.assertEqual(second_context.messages(), ()) if __name__ == "__main__": unittest.main()