V2.2.1: Membership & Billing, USDT TRC20 payment, VIP free indicators, AI Trading Radar, simplified strategy creation, system settings simplification, bug fixes and UI improvements

Author: tianhe

README.md

@@ -1,21 +1,30 @@
 # QuantDinger Backend API Dockerfile
-FROM python:3.12-slim
+FROM python:3.12-slim-bookworm
 
 # Set working directory
 WORKDIR /app
 
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    gcc \
-    libffi-dev \
+# Use HTTPS mirror and install minimal runtime dependencies.
+# Keep image lean to avoid long downloads of full compiler toolchains.
+RUN sed -i 's|http://deb.debian.org|https://deb.debian.org|g' /etc/apt/sources.list.d/*.sources 2>/dev/null || true \
+    && apt-get update \
+    && apt-get install -y --no-install-recommends --fix-missing \
     curl \
+    # Build deps (needed for some pyproject-based packages like ed25519-blake2b)
+    build-essential \
+    python3-dev \
+    libffi-dev \
+    libssl-dev \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy dependency file
 COPY requirements.txt .
 
 # Install Python dependencies
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --prefer-binary --timeout 120 -r requirements.txt \
+    # Remove build deps to keep image small
+    && apt-get purge -y --auto-remove build-essential python3-dev libffi-dev libssl-dev \
+    && rm -rf /var/lib/apt/lists/*
 
 # Copy application code
 COPY . .

README_CN.md

@@ -4,7 +4,7 @@ Flask-based backend for QuantDinger: market data, indicators, AI analysis, backt
 
 ## What you get
 
-- **Multi-market data layer**: factory-based providers (crypto / US stocks / CN&HK stocks / futures, etc.)
+- **Multi-market data layer**: factory-based providers (crypto / US stocks / forex / futures, etc.)
 - **Indicators + backtesting**: persisted runs/history in PostgreSQL
 - **AI multi-agent analysis**: optional web search + OpenRouter LLM integration
 - **Strategy runtime**: thread-based executor, with optional auto-restore on startup

README_JA.md

@@ -28,7 +28,7 @@ def get_hot_symbols(market: str, limit: int = 10) -> List[Dict]:
     Get hot symbols for a market.
     
     Args:
-        market: Market name (e.g., 'Crypto', 'USStock', 'AShare')
+        market: Market name (e.g., 'Crypto', 'USStock', 'Forex')
         limit: Maximum number of results
         
     Returns:
@@ -100,18 +100,12 @@ def search_symbols(market: str, keyword: str, limit: int = 20) -> List[Dict]:
 
 
 def _normalize_for_match(market: str, symbol: str) -> str:
-    """Normalize symbol for matching (padding digits for A-Share/H-Share)."""
+    """Normalize symbol for matching."""
     m = (market or '').strip()
     s = (symbol or '').strip().upper()
     if not m or not s:
         return s
 
-    # A-Share codes are usually 6 digits
-    if m == 'AShare' and s.isdigit() and len(s) < 6:
-        s = s.zfill(6)
-    # H-Share codes are often 5 digits
-    if m == 'HShare' and s.isdigit() and len(s) < 5:
-        s = s.zfill(5)
     return s
 
 

README_KO.md

@@ -6,12 +6,10 @@
 - 熔断器保护 (circuit_breaker)
 - 数据缓存 (cache_manager)
 - 防封禁策略 (rate_limiter)
-- 多数据源自动切换 (data_manager)
 """
 from app.data_sources.factory import DataSourceFactory
 from app.data_sources.circuit_breaker import (
     CircuitBreaker,
-    get_ashare_circuit_breaker,
     get_realtime_circuit_breaker
 )
 from app.data_sources.cache_manager import (
@@ -22,24 +20,16 @@
 )
 from app.data_sources.rate_limiter import (
     RateLimiter,
-    get_eastmoney_limiter,
-    get_tencent_limiter,
-    get_akshare_limiter,
     get_random_user_agent,
     random_sleep,
     retry_with_backoff
 )
-from app.data_sources.data_manager import (
-    AShareDataManager,
-    get_ashare_data_manager
-)
 
 __all__ = [
     # 工厂
     'DataSourceFactory',
     # 熔断器
     'CircuitBreaker',
-    'get_ashare_circuit_breaker',
     'get_realtime_circuit_breaker',
     # 缓存
     'DataCache',
@@ -48,14 +38,7 @@
     'get_stock_info_cache',
     # 限流器
     'RateLimiter',
-    'get_eastmoney_limiter',
-    'get_tencent_limiter',
-    'get_akshare_limiter',
     'get_random_user_agent',
     'random_sleep',
     'retry_with_backoff',
-    # 数据管理器
-    'AShareDataManager',
-    'get_ashare_data_manager',
 ]
-

README_TW.md

@@ -178,11 +178,11 @@ def stats(self) -> Dict[str, Any]:
 # 全局缓存实例
 # ============================================
 
-# A股实时行情缓存（20分钟TTL，全市场数据量大）
-_ashare_realtime_cache = DataCache(
-    name="ashare_realtime",
+# 实时行情缓存（20分钟TTL）
+_realtime_cache = DataCache(
+    name="realtime",
     default_ttl=1200.0,  # 20分钟
-    max_size=6000        # 约5000+股票
+    max_size=6000
 )
 
 # K线数据缓存（5分钟TTL，按需缓存）
@@ -202,7 +202,7 @@ def stats(self) -> Dict[str, Any]:
 
 def get_realtime_cache() -> DataCache:
     """获取实时行情缓存"""
-    return _ashare_realtime_cache
+    return _realtime_cache
 
 
 def get_kline_cache() -> DataCache: