From 9f64b4273b21b7462e193aaab09566b7283a2098 Mon Sep 17 00:00:00 2001 From: Pine Date: Tue, 18 Aug 2026 01:37:48 +0800 Subject: [PATCH] =?UTF-8?q?feat(s2s):=20=E5=90=8E=E7=AB=AF=E5=B5=8C?= =?UTF-8?q?=E5=85=A5=E5=AE=9E=E6=97=B6=E8=AF=AD=E9=9F=B3=E6=A0=88=EF=BC=88?= =?UTF-8?q?=E4=BA=91=20ASR/LLM/TTS=20+=20=E6=9C=AC=E5=9C=B0=20VAD=EF=BC=89?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - s2s_bridge：同进程构建 s2s 管线池（silero VAD + dashscope ASR + qwen-plus + qwen3-tts）并起 RealtimeServer(:8765) - ThreadManager 启动管线 handler 线程；启动重试与完整配置日志 - config：DPM_S2S_* 系列配置（开关/端口/模型/重试/日志级别） - main lifespan 按 DPM_S2S_ENABLED 启停；pyproject 增加 s2s 依赖（httpx/nltk/scipy/torch 等） --- backend/app/config.py | 14 + backend/app/main.py | 5 + backend/app/s2s_bridge.py | 143 ++++ backend/pyproject.toml | 19 + backend/uv.lock | 1378 +++++++++++++++++++++++++++++++++++++ 5 files changed, 1559 insertions(+) create mode 100644 backend/app/s2s_bridge.py diff --git a/backend/app/config.py b/backend/app/config.py index afb6a0f..5c49d92 100644 --- a/backend/app/config.py +++ b/backend/app/config.py @@ -70,5 +70,19 @@ class Settings: # ---- 管理后台 ---- ADMIN_SECRET = _env("DPM_ADMIN_SECRET", "dpm-admin-secret-change-me") + # ---- s2s 实时语音栈（VAD本地 + 云ASR/LLM/TTS） ---- + S2S_ENABLED = _env("DPM_S2S_ENABLED", "0") == "1" + S2S_HOST = _env("DPM_S2S_HOST", "0.0.0.0") + S2S_PORT = int(_env("DPM_S2S_PORT", "8765")) + S2S_NUM_PIPELINES = int(_env("DPM_S2S_NUM_PIPELINES", "1")) + S2S_STT_MODEL = _env("DPM_S2S_STT_MODEL", "qwen3-asr-flash-realtime") + S2S_LLM_MODEL = _env("DPM_S2S_LLM_MODEL", "qwen-plus") + S2S_TTS_MODEL = _env("DPM_S2S_TTS_MODEL", "qwen3-tts-flash-realtime") + S2S_TTS_VOICE = _env("DPM_S2S_TTS_VOICE", "Cherry") + S2S_BUILD_RETRIES = int(_env("DPM_S2S_BUILD_RETRIES", "4")) + S2S_BUILD_RETRY_DELAY = float(_env("DPM_S2S_BUILD_RETRY_DELAY", "10")) + S2S_LOG_LEVEL = _env("DPM_S2S_LOG_LEVEL", "INFO").upper() + + settings = Settings() diff --git a/backend/app/main.py b/backend/app/main.py index 5a97c35..4099d9f 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -22,6 +22,7 @@ from .event_bus import bus from .mqtt import hub from .routers import router from .sim_engine import sim_engine +from .s2s_bridge import start_s2s_backend logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s %(message)s") log = logging.getLogger("dpm.main") @@ -38,6 +39,10 @@ async def lifespan(app: FastAPI): stop = threading.Event() + # s2s 实时语音栈（可选）：后台线程构建管线池并起 RealtimeServer(:8765) + if settings.S2S_ENABLED: + start_s2s_backend(stop) + def tick_loop(): """数据引擎每 2.2s 推进一次；MQTT 连接时同步推送快照""" while not stop.is_set(): diff --git a/backend/app/s2s_bridge.py b/backend/app/s2s_bridge.py new file mode 100644 index 0000000..73ccf38 --- /dev/null +++ b/backend/app/s2s_bridge.py @@ -0,0 +1,143 @@ +# -*- coding: utf-8 -*- +"""s2s 实时语音栈（VAD 本地 + 云 ASR/LLM/TTS）桥接 + +在 DPM 进程内以后台线程运行 s2s 的 RealtimeServer（默认 :8765 /v1/realtime）。 +- 复用 live-avatar 云化栈（speech-to-speech v0.2.11 + cloud-migration 补丁）。 +- 依赖已并入 backend/pyproject.toml；本模块负责按 DPM Settings 组装并启动。 +- 前端语音对话页通过 WS 直连 ws://:/v1/realtime。 +""" + +import logging +import threading +import time + +from .config import settings + +log = logging.getLogger("dpm.s2s") + + +def _build_pool(stop_event: threading.Event): + """按 DPM 配置构建 s2s 管线池（含 VAD/silero 加载 + LLM warmup，耗时约 30~60s）。""" + import sys + + from speech_to_speech.api.openai_realtime.websocket_router import create_app + from speech_to_speech.s2s_pipeline import ( + _build_realtime_pipeline_unit, + parse_arguments, + prepare_all_args, + ) + + # 与 start_backend.sh 等价的参数（api_key 留空 → handler 从 env DASHSCOPE_API_KEY 读取） + sys.argv = [ + "dpm-s2s", + "--mode", "realtime", + "--stt", "dashscope-asr", + "--llm_backend", "chat-completions", + "--tts", "qwen3-cloud", + "--model_name", settings.S2S_LLM_MODEL, + "--responses_api_base_url", settings.LLM_BASE_URL, + "--responses_api_api_key", settings.DASHSCOPE_API_KEY, + "--dashscope_asr_model", settings.S2S_STT_MODEL, + "--qwen3_cloud_model", settings.S2S_TTS_MODEL, + "--qwen3_cloud_voice", settings.S2S_TTS_VOICE, + "--enable_live_transcription", "false", + "--thresh", "0.8", + "--min_silence_ms", "600", + "--min_speech_ms", "500", + "--log_level", settings.S2S_LOG_LEVEL, + ] + args = parse_arguments() + prepare_all_args( + args.module_kwargs, + args.whisper_stt_handler_kwargs, + args.paraformer_stt_handler_kwargs, + args.faster_whisper_stt_handler_kwargs, + args.mlx_audio_whisper_stt_handler_kwargs, + args.parakeet_tdt_stt_handler_kwargs, + args.dashscope_asr_stt_handler_kwargs, + args.language_model_handler_kwargs, + args.responses_api_language_model_handler_kwargs, + args.chat_tts_handler_kwargs, + args.facebook_mms_tts_handler_kwargs, + args.pocket_tts_handler_kwargs, + args.kokoro_tts_handler_kwargs, + args.qwen3_tts_handler_kwargs, + args.qwen3_cloud_tts_handler_kwargs, + ) + + pool = [ + _build_realtime_pipeline_unit( + index=i, + stop_event=stop_event, + module_kwargs=args.module_kwargs, + vad_handler_kwargs=args.vad_handler_kwargs, + whisper_stt_handler_kwargs=args.whisper_stt_handler_kwargs, + faster_whisper_stt_handler_kwargs=args.faster_whisper_stt_handler_kwargs, + paraformer_stt_handler_kwargs=args.paraformer_stt_handler_kwargs, + mlx_audio_whisper_stt_handler_kwargs=args.mlx_audio_whisper_stt_handler_kwargs, + parakeet_tdt_stt_handler_kwargs=args.parakeet_tdt_stt_handler_kwargs, + dashscope_asr_stt_handler_kwargs=args.dashscope_asr_stt_handler_kwargs, + language_model_handler_kwargs=args.language_model_handler_kwargs, + responses_api_language_model_handler_kwargs=args.responses_api_language_model_handler_kwargs, + chat_tts_handler_kwargs=args.chat_tts_handler_kwargs, + facebook_mms_tts_handler_kwargs=args.facebook_mms_tts_handler_kwargs, + pocket_tts_handler_kwargs=args.pocket_tts_handler_kwargs, + kokoro_tts_handler_kwargs=args.kokoro_tts_handler_kwargs, + qwen3_tts_handler_kwargs=args.qwen3_tts_handler_kwargs, + qwen3_cloud_tts_handler_kwargs=args.qwen3_cloud_tts_handler_kwargs, + ) + for i in range(settings.S2S_NUM_PIPELINES) + ] + + app = create_app(pool=pool, stop_event=stop_event) + return app, pool + + +def start_s2s_backend(stop_event: threading.Event) -> None: + """后台线程构建管线并启动 RealtimeServer（阻塞调用，放线程里跑）。""" + + def _run() -> None: + from speech_to_speech.api.openai_realtime.server import RealtimeServer + + # LLM warmup / 云 ASR/TTS 连接在弱网下会瞬断：整个池构建重试几次 + last_exc: Exception | None = None + log.info( + "s2s: 启动配置 STT=%s LLM=%s TTS=%s(%s) pipelines=%d ws://%s:%d/v1/realtime retries=%d", + settings.S2S_STT_MODEL, settings.S2S_LLM_MODEL, settings.S2S_TTS_MODEL, + settings.S2S_TTS_VOICE, settings.S2S_NUM_PIPELINES, + settings.S2S_HOST, settings.S2S_PORT, settings.S2S_BUILD_RETRIES, + ) + for attempt in range(settings.S2S_BUILD_RETRIES): + try: + log.info( + "s2s: 构建语音管线池（%d 路，尝试 %d/%d，首次约 30~60s）…", + settings.S2S_NUM_PIPELINES, + attempt + 1, + settings.S2S_BUILD_RETRIES, + ) + app, pool = _build_pool(stop_event) + server = RealtimeServer( + stop_event=stop_event, + pool=pool, + host=settings.S2S_HOST, + port=settings.S2S_PORT, + ) + # 关键：与 s2s_pipeline.main() 的 realtime 分支一致——用 ThreadManager + # 启动 RealtimeServer + 全部 handler 线程（VAD/STT/LLM/TTS）。 + # 只跑 server 不启动 handler 线程会导致管线不处理任何音频。 + from speech_to_speech.utils.thread_manager import ThreadManager + + all_handlers = [server] + [h for unit in pool for h in unit.handlers] + thread_manager = ThreadManager(all_handlers) + thread_manager.start() + log.info("s2s: 实时语音服务 ws://%s:%d/v1/realtime", settings.S2S_HOST, settings.S2S_PORT) + thread_manager.wait() + return + except Exception as e: # noqa: BLE001 + last_exc = e + log.warning("s2s: 构建尝试 %d/%d 失败：%s", attempt + 1, settings.S2S_BUILD_RETRIES, e) + if attempt + 1 < settings.S2S_BUILD_RETRIES: + time.sleep(settings.S2S_BUILD_RETRY_DELAY) + log.error("s2s: 启动失败（DPM_S2S_ENABLED=0 可关闭）：%s", last_exc) + + threading.Thread(target=_run, daemon=True).start() diff --git a/backend/pyproject.toml b/backend/pyproject.toml index b1de75a..08ab44e 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -12,4 +12,23 @@ dependencies = [ "uvicorn[standard]>=0.29", "dashscope>=1.26", "jinja2>=3.1", + # ---- s2s 实时语音栈（VAD本地 + 云ASR/LLM/TTS）---- + # speech-to-speech 本体以 --no-deps 安装（路径依赖见下方 [tool.uv.sources]）， + # 这里只声明其运行所需的最小依赖，避免 base 依赖把 mlx/transformers 等拖进来。 + "httpx>=0.28", + "nltk==3.9.4", + "numpy>=1.26", + "openai==2.28.0", + "scipy>=1.10", + "soundfile>=0.13", + "torch>=2.4", + "transformers>=4.40", + "websockets>=12", + "ultralytics>=8.4.121", ] + +[tool.uv.sources] +# 补丁后的 s2s 云化栈，已 vendor 进项目（backend/vendor/s2s-cloud），相对路径，无跨项目依赖 +# 说明：speech-to-speech 以 `uv pip install --no-deps --no-build-isolation -e vendor/s2s-cloud` +# 手动安装（避免其 base 依赖把 mlx/transformers 等拖入）；此处仅作路径声明。 +speech-to-speech = { path = "vendor/s2s-cloud" } diff --git a/backend/uv.lock b/backend/uv.lock index c36d519..a4bd56d 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -1,6 +1,10 @@ version = 1 revision = 3 requires-python = ">=3.12" +resolution-markers = [ + "sys_platform == 'win32'", + "sys_platform != 'win32'", +] [[package]] name = "aiohappyeyeballs" @@ -172,10 +176,20 @@ dependencies = [ { name = "certifi" }, { name = "dashscope" }, { name = "fastapi" }, + { name = "httpx" }, { name = "jinja2" }, + { name = "nltk" }, + { name = "numpy" }, + { name = "openai" }, { name = "paho-mqtt" }, { name = "python-multipart" }, + { name = "scipy" }, + { name = "soundfile" }, + { name = "torch" }, + { name = "transformers" }, + { name = "ultralytics" }, { name = "uvicorn", extra = ["standard"] }, + { name = "websockets" }, ] [package.metadata] @@ -183,10 +197,20 @@ requires-dist = [ { name = "certifi", specifier = ">=2024.2" }, { name = "dashscope", specifier = ">=1.26" }, { name = "fastapi", specifier = ">=0.110" }, + { name = "httpx", specifier = ">=0.28" }, { name = "jinja2", specifier 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