feat: optimize Hugging Face Space Docker build and zero-config deployment

.dockerignore

@@ -0,0 +1,14 @@
+node_modules
+**/node_modules
+__pycache__
+**/__pycache__
+*.pyc
+*.pyo
+.venv
+venv
+.git
+.pytest_cache
+*.db
+*.log
+.DS_Store
+Thumbs.db

Dockerfile

@@ -1,4 +1,12 @@
-# Build stage using official python 3.12 slim image
+# Stage 1: Build React frontend for Quant.ai
+FROM node:18-alpine AS frontend-builder
+WORKDIR /app/frontend
+COPY external/Quant.ai/frontend/package*.json ./
+RUN npm install --legacy-peer-deps
+COPY external/Quant.ai/frontend/ ./
+RUN npm run build
+
+# Stage 2: Python 3.12 high-performance inference gateway
 FROM python:3.12-slim
 
 # Set environment variables
@@ -14,27 +22,34 @@ ENV PYTHONUNBUFFERED=1 \
 # Set working directory
 WORKDIR /app
 
-# Install system dependencies (optional, for potential sqlite compilation or git)
+# Install system dependencies
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
+    curl \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy requirements file first for caching
 COPY requirements.txt .
 
-# Install dependencies
+# Install Python dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy all project source code
+# Copy project source code
 COPY inferroute/ ./inferroute/
 COPY docs/ ./docs/
 COPY benchmarks/ ./benchmarks/
 COPY external/ ./external/
+COPY platform/ ./platform/
+COPY quant/ ./quant/
 COPY *.html ./
 COPY assets/ ./assets/
+COPY *.svg ./
+
+# Copy compiled React frontend distribution bundle from Stage 1
+COPY --from=frontend-builder /app/frontend/dist ./external/Quant.ai/frontend/dist
 
 # Expose default port (7860 for Hugging Face Spaces)
 EXPOSE 7860
 
-# Command to run uvicorn dynamically binding to PORT environment variable (for Render/Hugging Face compatibility)
+# Launch Uvicorn gateway
 CMD ["sh", "-c", "python -m uvicorn inferroute.main:app --host 0.0.0.0 --port ${PORT:-7860}"]

external/Quant.ai/backend/app/config.py

@@ -43,5 +43,42 @@ MARKET_OPEN_FOCUS_START = "09:30" # 开盘开始时间
 MARKET_OPEN_FOCUS_END = "10:15"   # 开盘结束时间 (前 45 分钟)
 FORCE_LIQUIDATION_OPEN_FOCUS = "10:30" # 开盘突击模式下，10:30 强制清仓出场，防午盘横盘震荡损耗
 
-# 默认监控的高流动性股票池
-WATCHLIST = ["TSLA", "NVDA", "AAPL", "MSFT", "AMD"]
+# 热门板块分类库 (Hot Sectors Universe)
+HOT_SECTORS = {
+    "AI_CHIPS": {
+        "name": "🔥 AI & 半导体算力",
+        "description": "人工智能芯片、算力服务器与晶圆代工龙头",
+        "tickers": ["NVDA", "AMD", "AVGO", "TSM", "SMCI"]
+    },
+    "MEMORY_STORAGE": {
+        "name": "💾 存储芯片 & AI 存储",
+        "description": "DRAM/NAND/HBM 存储巨头与企业级 AI 存储基础设施",
+        "tickers": ["MU", "WDC", "STX", "PSTG", "NTAP"]
+    },
+    "AI_POWER_NUCLEAR": {
+        "name": "⚛️ AI 核能 & 电力基础设施",
+        "description": "AI数据中心核电、清洁能源与电力基础设施龙头",
+        "tickers": ["OKLO", "SMR", "VST", "CEG", "TLN"]
+    },
+    "QUANTUM_FRONTIER": {
+        "name": "🔮 量子计算 & AI 软件",
+        "description": "量子计算、大数据分析与高贝塔前沿科技",
+        "tickers": ["PLTR", "IONQ", "RGTI"]
+    },
+    "BIG_TECH": {
+        "name": "🏛️ 科技巨头 / 核心持仓",
+        "description": "高流动性大盘科技股与核心资产",
+        "tickers": ["TSLA", "AAPL", "MSFT", "META", "GOOGL"]
+    },
+    "MOMENTUM_CRYPTO": {
+        "name": "🚀 高动能 & 加密概念",
+        "description": "极高贝塔系数、强成交量与加密资产概念股",
+        "tickers": ["MSTR", "COIN", "HOOD", "MARA", "TQQQ"]
+    }
+}
+
+# 默认监控的精简核心股票池（方便用户自主添加与自定义）
+WATCHLIST = ["NVDA", "TSLA", "AAPL", "AMD", "MU", "PLTR", "MSTR"]
+
+
+

external/Quant.ai/backend/main_api.py

@@ -32,7 +32,7 @@ def clean_float(val, default=0.0):
         return default
 
 
-from app.config import INITIAL_CASH, WATCHLIST, FORCE_LIQUIDATION_TIME
+from app.config import INITIAL_CASH, WATCHLIST, FORCE_LIQUIDATION_TIME, HOT_SECTORS
 from app.data_manager import fetch_and_prepare_data, get_company_info, calculate_atr, INTERVAL_TO_PERIOD
 from app.patterns import analyze_patterns
 from app.simulator import run_backtest_sim
@@ -87,7 +87,7 @@ def load_persistent_watchlist() -> list:
                     return [str(t).upper() for t in data]
         except Exception:
             pass
-    return ["TSLA", "NVDA", "AAPL", "MSFT", "AMD"]
+    return ["NVDA", "TSLA", "AAPL", "AMD", "MU", "PLTR", "MSTR"]
 
 def save_persistent_watchlist(watchlist: list):
     try:
@@ -106,9 +106,72 @@ class WatchlistModifyRequest(BaseModel):
 @app.get("/api/watchlist")
 def get_watchlist_data():
     """
-    获取自选股池的列表（支持持久化）
+    获取自选股池的列表（支持持久化 + 自动标记持仓状态与热门板块元数据）
     """
-    return {"watchlist": WATCHLIST}
+    open_positions = []
+    try:
+        positions_info = live_runner.alpaca.get_open_positions()
+        open_positions = [p["ticker"].upper() for p in positions_info]
+    except Exception:
+        pass
+
+    enriched_watchlist = []
+    for ticker in WATCHLIST:
+        # 判断所属热门板块
+        category = "其他"
+        for sec_key, sec_data in HOT_SECTORS.items():
+            if ticker in sec_data["tickers"]:
+                category = sec_data["name"]
+                break
+        
+        enriched_watchlist.append({
+            "ticker": ticker,
+            "is_holding": ticker in open_positions,
+            "category": category
+        })
+
+    return {
+        "watchlist": WATCHLIST,
+        "details": enriched_watchlist,
+        "total": len(WATCHLIST),
+        "holdings_count": len([item for item in enriched_watchlist if item["is_holding"]])
+    }
+
+@app.post("/api/watchlist/sync_holdings")
+def sync_holdings_to_watchlist():
+    """
+    一键同步已拥有的股票（持仓）到 Watchlist
+    """
+    try:
+        positions_info = live_runner.alpaca.get_open_positions()
+        added_count = 0
+        for p in positions_info:
+            t = p["ticker"].upper()
+            if t not in WATCHLIST:
+                WATCHLIST.append(t)
+                added_count += 1
+        if added_count > 0:
+            save_persistent_watchlist(WATCHLIST)
+            live_runner.active_tickers = WATCHLIST.copy()
+        return {
+            "success": True, 
+            "added_count": added_count, 
+            "watchlist": WATCHLIST,
+            "message": f"成功从现有持仓同步 {added_count} 只股票到 Watchlist 监控池。"
+        }
+    except Exception as e:
+        return {"success": False, "error": f"同步持仓失败: {str(e)}"}
+
+@app.get("/api/watchlist/hot_sectors")
+def get_hot_sectors_universe():
+    """
+    获取推荐热门板块库 (AI算力、科技巨头、加密动能等)
+    """
+    return {
+        "success": True,
+        "hot_sectors": HOT_SECTORS,
+        "recommended_tickers": ["NVDA", "TSLA", "PLTR", "AMD", "AVGO", "MSTR", "MSFT", "AAPL", "COIN", "TQQQ"]
+    }
 
 @app.post("/api/watchlist/add")
 def add_watchlist_ticker(req: WatchlistModifyRequest):

external/Quant.ai/backend/watchlist.json

@@ -0,0 +1,10 @@
+[
+  "NVDA",
+  "TSLA",
+  "AAPL",
+  "AMD",
+  "MU",
+  "PLTR",
+  "CRCL",
+  "MSTR"
+]

inferroute/config.py

@@ -8,7 +8,7 @@ class Settings(BaseSettings):
 
     # ── Databases ─────────────────────────────────────────────────────────────
     DATABASE_URL: str = Field(
-        default="postgresql+asyncpg://postgres:postgres@localhost:5432/inferroute",
+        default="sqlite+aiosqlite:///./inferroute.db",
         validation_alias="DATABASE_URL"
     )
     REDIS_URL: str = Field(

inferroute/main.py

@@ -76,21 +76,29 @@ concurrency_limiter = AdaptiveConcurrencyLimiter()
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     logger.info("Starting InferRoute gateway…")
-    await init_db()
-
-    import inferroute.auth as auth
-    redis_client = aioredis.from_url(settings.REDIS_URL, decode_responses=True)
-    auth.redis_client = redis_client
+    try:
+        await init_db()
+    except Exception as e:
+        logger.warning(f"Database init warning (running in degraded/mock mode): {e}")
 
-    # Inject Redis into circuit breakers
-    circuit_breaker.initialize_circuit_breakers(redis_client, list(ADAPTERS.keys()))
+    try:
+        import inferroute.auth as auth
+        redis_client = aioredis.from_url(settings.REDIS_URL, decode_responses=True)
+        auth.redis_client = redis_client
+        circuit_breaker.initialize_circuit_breakers(redis_client, list(ADAPTERS.keys()))
+    except Exception as e:
+        logger.warning(f"Redis initialization skipped ({e}). Gateway running in standalone mode.")
 
     logger.info("InferRoute gateway ready.")
     yield
 
-    if auth.redis_client:
-        await auth.redis_client.aclose()
-        logger.info("Redis connection closed.")
+    try:
+        import inferroute.auth as auth
+        if auth.redis_client:
+            await auth.redis_client.aclose()
+            logger.info("Redis connection closed.")
+    except Exception:
+        pass
 
 
 # ── App ───────────────────────────────────────────────────────────────────────