a

backend/api/routes/recommendations.py

@@ -768,7 +768,8 @@ async def generate_recommendations(
                 min_signal_strength=max(2, min_signal_strength - 3),  # 降低3个等级以获取更多推荐（最低2）
                 max_recommendations=max(max_recommendations, 50),  # 至少生成50个推荐
                 add_to_cache=True,  # 添加到Redis缓存
-                min_quality_score=0.0  # 不过滤，保留所有推荐
+                min_quality_score=0.0,  # 不过滤，保留所有推荐
+                scan_cache_namespace="api",  # 避免覆盖交易/推荐进程的扫描缓存
             )
             
             return {

trading_system/README.md

@@ -8,6 +8,7 @@
 trading_system/
 ├── __init__.py
 ├── main.py              # 主程序入口
+├── recommendations_main.py  # 推荐服务入口（独立进程：只生成推荐，不自动交易）
 ├── config.py            # 配置文件
 ├── binance_client.py    # 币安客户端
 ├── market_scanner.py    # 市场扫描器
@@ -36,6 +37,24 @@ cd trading_system
 python main.py
 ```
 
+### 推荐服务（独立进程）
+
+推荐用于“普通用户查看”，建议与自动交易拆开启动（避免自动交易等待成交时拖慢推荐生成）。
+
+```bash
+# 从项目根目录运行
+python -m trading_system.recommendations_main
+```
+
+常用环境变量（可选）：
+
+- `RECOMMEND_SCAN_INTERVAL_SEC`: 推荐生成间隔（秒），默认 60
+- `RECOMMEND_MIN_SIGNAL_STRENGTH`: 推荐最小强度，默认 5
+- `RECOMMEND_MAX_RECOMMENDATIONS`: 单次最大推荐数量，默认 60
+- `RECOMMEND_MIN_QUALITY_SCORE`: 质量分过滤，默认 0.0
+- `RECOMMEND_SCAN_CACHE_NAMESPACE`: 扫描缓存命名空间，默认 recommend
+- `RECOMMEND_LOG_FILE`: 推荐服务日志文件，默认 recommendations_bot.log
+
 ### 方式2：从项目根目录运行
 
 ```bash

trading_system/market_scanner.py

@@ -29,7 +29,7 @@ class MarketScanner:
         self.client = client
         self.top_symbols: List[Dict] = []
     
-    async def scan_market(self) -> List[Dict]:
+    async def scan_market(self, cache_namespace: str = "trade", config_override: Optional[Dict] = None) -> List[Dict]:
         """
         扫描市场，找出涨跌幅最大的前N个货币对
         优先从 Redis 缓存读取扫描结果，如果缓存不可用或过期则重新扫描
@@ -40,8 +40,14 @@ class MarketScanner:
         import time
         self._scan_start_time = time.time()
 
+        # 允许“推荐进程”和“交易进程”使用不同的扫描参数/缓存命名空间，互不干扰
+        cfg = dict(config.TRADING_CONFIG or {})
+        if config_override and isinstance(config_override, dict):
+            cfg.update(config_override)
+        ns = (cache_namespace or "trade").strip() or "trade"
+        
         # 先查 Redis 缓存（扫描结果缓存，TTL: 30秒）
-        cache_key = "scan_result:top_symbols"
+        cache_key = f"scan_result:top_symbols:{ns}"
         cached = await self.client.redis_cache.get(cache_key)
         if cached:
             logger.info(f"从Redis缓存获取扫描结果: {len(cached)} 个交易对")
@@ -57,7 +63,7 @@ class MarketScanner:
             return []
         
         # 根据配置限制扫描的交易对数量
-        max_scan_symbols = config.TRADING_CONFIG.get('MAX_SCAN_SYMBOLS', 500)
+        max_scan_symbols = cfg.get('MAX_SCAN_SYMBOLS', 500)
         if max_scan_symbols > 0 and max_scan_symbols < len(all_symbols):
             symbols = all_symbols[:max_scan_symbols]
             logger.info(f"限制扫描数量: {len(symbols)}/{len(all_symbols)} 个交易对（配置: MAX_SCAN_SYMBOLS={max_scan_symbols}）")
@@ -76,8 +82,8 @@ class MarketScanner:
             if ticker:
                 change_percent = abs(ticker.get('changePercent', 0))
                 volume = ticker.get('volume', 0)
-                if (change_percent >= config.TRADING_CONFIG['MIN_CHANGE_PERCENT'] and
-                    volume >= config.TRADING_CONFIG['MIN_VOLUME_24H']):
+                if (change_percent >= cfg.get('MIN_CHANGE_PERCENT', config.TRADING_CONFIG['MIN_CHANGE_PERCENT']) and
+                    volume >= cfg.get('MIN_VOLUME_24H', config.TRADING_CONFIG['MIN_VOLUME_24H'])):
                     pre_filtered_symbols.append(symbol)
         
         logger.info(f"初步筛选后，需要详细分析的交易对: {len(pre_filtered_symbols)} 个")
@@ -102,8 +108,8 @@ class MarketScanner:
         # 过滤最小涨跌幅和成交量
         filtered_results = [
             r for r in valid_results
-            if abs(r['changePercent']) >= config.TRADING_CONFIG['MIN_CHANGE_PERCENT']
-            and r.get('volume24h', 0) >= config.TRADING_CONFIG['MIN_VOLUME_24H']
+            if abs(r['changePercent']) >= cfg.get('MIN_CHANGE_PERCENT', config.TRADING_CONFIG['MIN_CHANGE_PERCENT'])
+            and r.get('volume24h', 0) >= cfg.get('MIN_VOLUME_24H', config.TRADING_CONFIG['MIN_VOLUME_24H'])
         ]
         
         # 按信号得分和涨跌幅综合排序，取前N个
@@ -117,7 +123,7 @@ class MarketScanner:
             reverse=True
         )
         
-        top_n = sorted_results[:config.TRADING_CONFIG['TOP_N_SYMBOLS']]
+        top_n = sorted_results[:cfg.get('TOP_N_SYMBOLS', config.TRADING_CONFIG['TOP_N_SYMBOLS'])]
         
         self.top_symbols = top_n
         

trading_system/recommendations_main.py

@@ -0,0 +1,167 @@
+"""
+推荐服务入口（独立进程）
+
+目的：
+- 推荐生成与自动交易解耦：推荐更高频、只做分析+写入Redis，不下单、不等待成交
+- 未来支持“普通用户仅看推荐 / 加V用户自动交易”时，可独立扩容
+"""
+
+import asyncio
+import logging
+import os
+import sys
+from pathlib import Path
+from datetime import datetime, timezone, timedelta
+
+
+# 支持直接运行和作为模块导入
+if __name__ == "__main__":
+    from binance_client import BinanceClient
+    from market_scanner import MarketScanner
+    from risk_manager import RiskManager
+    from trade_recommender import TradeRecommender
+    import config
+else:
+    from .binance_client import BinanceClient
+    from .market_scanner import MarketScanner
+    from .risk_manager import RiskManager
+    from .trade_recommender import TradeRecommender
+    from . import config
+
+
+class BeijingTimeFormatter(logging.Formatter):
+    """使用北京时间的日志格式化器"""
+
+    def formatTime(self, record, datefmt=None):
+        beijing_tz = timezone(timedelta(hours=8))
+        dt = datetime.fromtimestamp(record.created, tz=beijing_tz)
+        if datefmt:
+            return dt.strftime(datefmt)
+        return dt.strftime("%Y-%m-%d %H:%M:%S")
+
+
+def _setup_logging():
+    # 单独的日志文件，避免与交易进程混在一起
+    log_file = os.getenv("RECOMMEND_LOG_FILE", "recommendations_bot.log")
+    if not Path(log_file).is_absolute():
+        project_root = Path(__file__).parent.parent
+        log_file = project_root / log_file
+
+    formatter = BeijingTimeFormatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+    file_handler = logging.FileHandler(str(log_file), encoding="utf-8")
+    file_handler.setFormatter(formatter)
+    console_handler = logging.StreamHandler(sys.stdout)
+    console_handler.setFormatter(formatter)
+
+    logging.basicConfig(level=getattr(logging, config.LOG_LEVEL), handlers=[file_handler, console_handler])
+
+    # 追加：日志写入 Redis（用于前端日志监控）
+    try:
+        try:
+            from .redis_log_handler import RedisErrorLogHandler, RedisLogConfig
+        except Exception:
+            from redis_log_handler import RedisErrorLogHandler, RedisLogConfig
+
+        redis_cfg = RedisLogConfig(
+            redis_url=getattr(config, "REDIS_URL", "redis://localhost:6379"),
+            use_tls=bool(getattr(config, "REDIS_USE_TLS", False)),
+            ssl_cert_reqs=str(getattr(config, "REDIS_SSL_CERT_REQS", "required") or "required"),
+            ssl_ca_certs=getattr(config, "REDIS_SSL_CA_CERTS", None),
+            username=getattr(config, "REDIS_USERNAME", None),
+            password=getattr(config, "REDIS_PASSWORD", None),
+            service="recommendations",
+        )
+        redis_handler = RedisErrorLogHandler(redis_cfg)
+        redis_handler.setLevel(logging.INFO)
+        logging.getLogger().addHandler(redis_handler)
+    except Exception:
+        pass
+
+
+logger = logging.getLogger(__name__)
+
+
+async def _acquire_reco_lock(client: BinanceClient, ttl_sec: int) -> bool:
+    """
+    防止多实例同时生成推荐（避免重复扫描/写Redis风暴）。
+    """
+    rc = getattr(client, "redis_cache", None)
+    r = getattr(rc, "redis", None) if rc else None
+    if not r or not getattr(rc, "_connected", False):
+        return True  # Redis不可用时无法分布式锁，直接放行
+    now_ms = int(__import__("time").time() * 1000)
+    try:
+        ok = await r.set("lock:recommendations:generator", str(now_ms), nx=True, ex=max(5, int(ttl_sec)))
+        return bool(ok)
+    except Exception:
+        return True
+
+
+async def main():
+    _setup_logging()
+
+    logger.info("=" * 60)
+    logger.info("推荐服务启动（独立进程：只生成推荐，不自动交易）")
+    logger.info("=" * 60)
+
+    # 建议：推荐频率相对更高（默认60s），且不依赖交易进程的 SCAN_INTERVAL
+    scan_interval = int(os.getenv("RECOMMEND_SCAN_INTERVAL_SEC", "60") or "60")
+    min_signal_strength = int(os.getenv("RECOMMEND_MIN_SIGNAL_STRENGTH", "5") or "5")
+    max_recommendations = int(os.getenv("RECOMMEND_MAX_RECOMMENDATIONS", "60") or "60")
+    min_quality_score = float(os.getenv("RECOMMEND_MIN_QUALITY_SCORE", "0.0") or "0.0")
+    cache_namespace = os.getenv("RECOMMEND_SCAN_CACHE_NAMESPACE", "recommend") or "recommend"
+
+    logger.info(
+        f"推荐参数: interval={scan_interval}s, min_strength>={min_signal_strength}, "
+        f"max_recos={max_recommendations}, min_quality={min_quality_score}, cache_ns={cache_namespace}"
+    )
+
+    client: BinanceClient | None = None
+    try:
+        client = BinanceClient()
+        await client.connect()
+
+        scanner = MarketScanner(client)
+        risk_manager = RiskManager(client)
+        recommender = TradeRecommender(client, scanner, risk_manager)
+
+        while True:
+            try:
+                # 每轮都从Redis刷新配置（确保推荐侧也能动态生效）
+                try:
+                    if config._config_manager:
+                        config._config_manager.reload_from_redis()
+                        config.TRADING_CONFIG = config._get_trading_config()
+                except Exception:
+                    pass
+
+                # 分布式锁：避免多实例同时跑
+                got_lock = await _acquire_reco_lock(client, ttl_sec=max(10, scan_interval))
+                if not got_lock:
+                    logger.debug("推荐生成锁未获取到（可能有其他实例在跑），跳过本轮")
+                    await asyncio.sleep(min(5, scan_interval))
+                    continue
+
+                recos = await recommender.generate_recommendations(
+                    min_signal_strength=min_signal_strength,
+                    max_recommendations=max_recommendations,
+                    add_to_cache=True,
+                    min_quality_score=min_quality_score,
+                    scan_cache_namespace=cache_namespace,
+                )
+                logger.info(f"推荐生成完成: {len(recos)} 条（已写入Redis snapshot）")
+            except Exception as e:
+                logger.error(f"推荐生成循环异常: {e}", exc_info=True)
+
+            await asyncio.sleep(max(5, scan_interval))
+    finally:
+        if client:
+            try:
+                await client.disconnect()
+            except Exception:
+                pass
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+

trading_system/trade_recommender.py

@@ -72,7 +72,9 @@ class TradeRecommender:
         min_signal_strength: int = 5,
         max_recommendations: int = 20,
         add_to_cache: bool = True,
-        min_quality_score: float = 0.0
+        min_quality_score: float = 0.0,
+        scan_cache_namespace: str = "recommend",
+        scan_config_override: Optional[Dict] = None,
     ) -> List[Dict]:
         """
         生成交易推荐（支持增量添加到Redis缓存）
@@ -112,7 +114,11 @@ class TradeRecommender:
                 logger.debug(f"从Redis读取现有推荐失败: {e}")
         
         # 2. 扫描市场
-        top_symbols = await self.scanner.scan_market()
+        # 说明：推荐进程/交易进程可能同时运行，为避免扫描缓存互相覆盖，使用独立 cache_namespace
+        top_symbols = await self.scanner.scan_market(
+            cache_namespace=scan_cache_namespace or "recommend",
+            config_override=scan_config_override,
+        )
         if not top_symbols:
             logger.warning("未找到符合条件的交易对")
             # 如果市场扫描失败，返回现有缓存推荐