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- main.py：uv run main.py 一键启动——读取 backend/.env、TORCH_HOME/NLTK_DATA 指向项目内缓存、certifi SSL + NO_PROXY 网络直连、默认开启 s2s，启动横幅 - vendor/：补丁后 s2s 云化栈移入项目（backend/vendor/s2s-cloud），pyproject sources 改相对路径 - .gitignore：忽略 .torch-cache / nltk_data 缓存 - AGENTS.md：进程管理铁律（AI 不启动/重启服务，由用户操作）
81 lines
3.1 KiB
Python
81 lines
3.1 KiB
Python
import logging
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from queue import Queue
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from threading import Event
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from speech_to_speech.api.openai_realtime.runtime_config import RuntimeConfig
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from speech_to_speech.pipeline.events import PartialTranscriptionEvent, TranscriptionCompletedEvent
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from speech_to_speech.pipeline.messages import GenerateResponseRequest, PartialTranscription, Transcription
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from speech_to_speech.STT.transcription_notifier import TranscriptionNotifier
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def _notifier(
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text_output_queue: Queue | None = None,
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runtime_config: RuntimeConfig | None = None,
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should_listen: Event | None = None,
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) -> TranscriptionNotifier:
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notifier = object.__new__(TranscriptionNotifier)
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notifier.setup(text_output_queue=text_output_queue, runtime_config=runtime_config, should_listen=should_listen)
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return notifier
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def test_empty_final_transcription_still_emits_completion_after_partial():
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text_output_queue = Queue()
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notifier = _notifier(text_output_queue=text_output_queue)
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assert list(notifier.process(PartialTranscription(text="Yeah."))) == []
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assert list(notifier.process(Transcription(text="", language_code="en", speech_stopped_at_s=123.0))) == []
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partial = text_output_queue.get_nowait()
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completed = text_output_queue.get_nowait()
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assert isinstance(partial, PartialTranscriptionEvent)
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assert partial.delta == "Yeah."
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assert isinstance(completed, TranscriptionCompletedEvent)
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assert completed.transcript == ""
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assert completed.language_code == "en"
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assert completed.speech_stopped_at_s == 123.0
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assert text_output_queue.empty()
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def test_empty_final_transcription_does_not_trigger_legacy_generation():
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runtime_config = RuntimeConfig()
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should_listen = Event()
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notifier = _notifier(runtime_config=runtime_config, should_listen=should_listen)
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assert list(notifier.process(Transcription(text="", language_code="en"))) == []
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assert should_listen.is_set()
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def test_non_empty_final_transcription_still_triggers_legacy_generation():
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runtime_config = RuntimeConfig()
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should_listen = Event()
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notifier = _notifier(runtime_config=runtime_config, should_listen=should_listen)
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result = list(notifier.process(Transcription(text="hello", language_code="en", speech_stopped_at_s=123.0)))
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assert len(result) == 1
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assert isinstance(result[0], GenerateResponseRequest)
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assert result[0].runtime_config is runtime_config
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assert result[0].language_code == "en"
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assert result[0].speech_stopped_at_s == 123.0
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assert not should_listen.is_set()
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def test_non_empty_final_transcription_logs_full_text_at_info(caplog):
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notifier = _notifier()
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transcript = "hello " * 30
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with caplog.at_level(logging.INFO, logger="speech_to_speech.STT.transcription_notifier"):
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assert list(notifier.process(Transcription(text=transcript, language_code="en"))) == []
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assert "Transcription completed (language=en): " + transcript in caplog.text
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def test_empty_final_transcription_reenables_listening_without_runtime_config():
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should_listen = Event()
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notifier = _notifier(should_listen=should_listen)
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assert list(notifier.process(Transcription(text="", language_code="en"))) == []
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assert should_listen.is_set()
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