feat: 小程序脚本首页重构 + 社交数据导入 + TTS 播放优化

- 后端：新增社交数据导入/审批/洞察生成 API（SocialContent/SocialInsight）
- 后端：优化脚本上下文服务，TTS 服务增强
- 小程序：重构脚本首页布局，新增社交导入页面
- 小程序：新增 useTtsPlayer composable，移除旧 ScriptAudioPlayer 组件
- 小程序：新增社交导入服务，优化请求服务
- SQL：新增社交数据导入建表脚本
- 文档：补充设计文档和实施计划

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

backend-single/tts-service/README.md

@@ -4,14 +4,15 @@ Install on `101.200.208.45`:
 
 ```bash
 cd /data/programs/emotion-museum/tts-service
-python3 -m venv .venv
+python3.11 -m venv .venv
 . .venv/bin/activate
 pip install -r requirements.txt
 
-git clone https://github.com/myshell-ai/MeloTTS.git /data/programs/MeloTTS
-cd /data/programs/MeloTTS
-/data/programs/emotion-museum/tts-service/.venv/bin/pip install -e .
-/data/programs/emotion-museum/tts-service/.venv/bin/python -m unidic download
+mkdir -p models
+curl -L -o models/zh_CN-huayan-medium.onnx \
+  https://hf-mirror.com/rhasspy/piper-voices/resolve/v1.0.0/zh/zh_CN/huayan/medium/zh_CN-huayan-medium.onnx
+curl -L -o models/zh_CN-huayan-medium.onnx.json \
+  https://hf-mirror.com/rhasspy/piper-voices/resolve/v1.0.0/zh/zh_CN/huayan/medium/zh_CN-huayan-medium.onnx.json
 
 cd /data/programs/emotion-museum/tts-service
 uvicorn app:app --host 127.0.0.1 --port 19110

backend-single/tts-service/app.py

@@ -1,14 +1,15 @@
+import subprocess
 from pathlib import Path
-from threading import Lock
 
 from fastapi import FastAPI
 from pydantic import BaseModel, Field
 
 app = FastAPI(title="Emotion Museum TTS")
 
-_model = None
-_speaker_ids = None
-_model_lock = Lock()
+BASE_DIR = Path(__file__).resolve().parent
+PIPER_BIN = BASE_DIR / ".venv" / "bin" / "piper"
+PIPER_MODEL = BASE_DIR / "models" / "zh_CN-huayan-medium.onnx"
+PIPER_CONFIG = BASE_DIR / "models" / "zh_CN-huayan-medium.onnx.json"
 
 
 class SynthesizeRequest(BaseModel):
@@ -17,20 +18,13 @@ class SynthesizeRequest(BaseModel):
     outputPath: str
 
 
-def get_model():
-    global _model, _speaker_ids
-    with _model_lock:
-        if _model is None:
-            from melo.api import TTS
-
-            _model = TTS(language="ZH", device="cpu")
-            _speaker_ids = _model.hps.data.spk2id
-        return _model, _speaker_ids
-
-
 @app.get("/health")
 def health():
-    return {"status": "ok"}
+    return {
+        "status": "ok",
+        "engine": "piper",
+        "modelReady": PIPER_MODEL.exists() and PIPER_CONFIG.exists(),
+    }
 
 
 @app.post("/synthesize")
@@ -39,15 +33,35 @@ def synthesize(request: SynthesizeRequest):
     output.parent.mkdir(parents=True, exist_ok=True)
 
     try:
-        model, speaker_ids = get_model()
-        speaker_id = speaker_ids.get("ZH")
-        model.tts_to_file(request.text, speaker_id, str(output), speed=1.0)
+        if not PIPER_BIN.exists():
+            raise RuntimeError(f"piper binary not found: {PIPER_BIN}")
+        if not PIPER_MODEL.exists() or not PIPER_CONFIG.exists():
+            raise RuntimeError("piper Chinese voice model is not installed")
+
+        subprocess.run(
+            [
+                str(PIPER_BIN),
+                "--model",
+                str(PIPER_MODEL),
+                "--config",
+                str(PIPER_CONFIG),
+                "--output_file",
+                str(output),
+                "--sentence-silence",
+                "0.35",
+            ],
+            input=request.text,
+            text=True,
+            check=True,
+            capture_output=True,
+            timeout=180,
+        )
     except Exception as exc:
         return {
             "success": False,
             "audioPath": None,
             "durationMs": None,
-            "engine": "melotts",
+            "engine": "piper",
             "errorMessage": str(exc),
         }
 
@@ -55,5 +69,5 @@ def synthesize(request: SynthesizeRequest):
         "success": True,
         "audioPath": str(output),
         "durationMs": None,
-        "engine": "melotts",
+        "engine": "piper",
     }

backend-single/tts-service/requirements.txt

@@ -1,3 +1,4 @@
 fastapi==0.111.0
 uvicorn[standard]==0.30.1
 pydantic==2.7.4
+piper-tts==1.4.2