194 lines
8.1 KiB
Python
194 lines
8.1 KiB
Python
"""
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推荐服务入口（独立进程）
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目的：
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- 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
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- 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
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"""
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import asyncio
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import logging
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import os
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import sys
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from pathlib import Path
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from datetime import datetime, timezone, timedelta
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# 启动方式兼容（更鲁棒）：
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# - supervisor 推荐：python -m trading_system.recommendations_main（相对导入）
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# - 手动调试：python trading_system/recommendations_main.py（同目录导入）
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try:
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from .binance_client import BinanceClient # type: ignore
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from .market_scanner import MarketScanner # type: ignore
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from .risk_manager import RiskManager # type: ignore
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from .trade_recommender import TradeRecommender # type: ignore
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from . import config # type: ignore
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except Exception:
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_here = Path(__file__).resolve().parent
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_root = _here.parent
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if str(_here) not in sys.path:
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sys.path.insert(0, str(_here))
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if str(_root) not in sys.path:
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sys.path.insert(0, str(_root))
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from binance_client import BinanceClient # type: ignore
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from market_scanner import MarketScanner # type: ignore
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from risk_manager import RiskManager # type: ignore
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from trade_recommender import TradeRecommender # type: ignore
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import config # type: ignore
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class BeijingTimeFormatter(logging.Formatter):
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"""使用北京时间的日志格式化器"""
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def formatTime(self, record, datefmt=None):
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beijing_tz = timezone(timedelta(hours=8))
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dt = datetime.fromtimestamp(record.created, tz=beijing_tz)
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if datefmt:
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return dt.strftime(datefmt)
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return dt.strftime("%Y-%m-%d %H:%M:%S")
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def _setup_logging():
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# 单独的日志文件，避免与交易进程混在一起
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log_file = os.getenv("RECOMMEND_LOG_FILE", "recommendations_bot.log")
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if not Path(log_file).is_absolute():
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project_root = Path(__file__).parent.parent
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log_file = project_root / log_file
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formatter = BeijingTimeFormatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
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file_handler = logging.FileHandler(str(log_file), encoding="utf-8")
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file_handler.setFormatter(formatter)
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console_handler = logging.StreamHandler(sys.stdout)
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console_handler.setFormatter(formatter)
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logging.basicConfig(level=getattr(logging, config.LOG_LEVEL), handlers=[file_handler, console_handler])
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# 追加：日志写入 Redis（用于前端日志监控）
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try:
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try:
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from .redis_log_handler import RedisErrorLogHandler, RedisLogConfig
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except Exception:
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from redis_log_handler import RedisErrorLogHandler, RedisLogConfig
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redis_cfg = RedisLogConfig(
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redis_url=getattr(config, "REDIS_URL", "redis://localhost:6379"),
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use_tls=bool(getattr(config, "REDIS_USE_TLS", False)),
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ssl_cert_reqs=str(getattr(config, "REDIS_SSL_CERT_REQS", "required") or "required"),
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ssl_ca_certs=getattr(config, "REDIS_SSL_CA_CERTS", None),
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username=getattr(config, "REDIS_USERNAME", None),
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password=getattr(config, "REDIS_PASSWORD", None),
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service="recommendations",
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)
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redis_handler = RedisErrorLogHandler(redis_cfg)
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redis_handler.setLevel(logging.INFO)
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logging.getLogger().addHandler(redis_handler)
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except Exception:
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pass
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logger = logging.getLogger(__name__)
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async def _acquire_reco_lock(client: BinanceClient, ttl_sec: int) -> bool:
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"""
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防止多实例同时生成推荐（避免重复扫描/写Redis风暴）。
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"""
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rc = getattr(client, "redis_cache", None)
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r = getattr(rc, "redis", None) if rc else None
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if not r or not getattr(rc, "_connected", False):
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return True # Redis不可用时无法分布式锁，直接放行
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now_ms = int(__import__("time").time() * 1000)
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try:
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ok = await r.set("lock:recommendations:generator", str(now_ms), nx=True, ex=max(5, int(ttl_sec)))
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return bool(ok)
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except Exception:
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return True
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async def main():
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_setup_logging()
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logger.info("=" * 60)
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logger.info("推荐服务启动（独立进程：只生成推荐，不自动交易）")
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logger.info("=" * 60)
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# 建议：推荐频率相对更高（默认60s），且不依赖交易进程的 SCAN_INTERVAL
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scan_interval = int(os.getenv("RECOMMEND_SCAN_INTERVAL_SEC", "60") or "60")
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min_signal_strength = int(os.getenv("RECOMMEND_MIN_SIGNAL_STRENGTH", "5") or "5")
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max_recommendations = int(os.getenv("RECOMMEND_MAX_RECOMMENDATIONS", "60") or "60")
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min_quality_score = float(os.getenv("RECOMMEND_MIN_QUALITY_SCORE", "0.0") or "0.0")
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cache_namespace = os.getenv("RECOMMEND_SCAN_CACHE_NAMESPACE", "recommend") or "recommend"
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logger.info(
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f"推荐参数: interval={scan_interval}s, min_strength>={min_signal_strength}, "
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f"max_recos={max_recommendations}, min_quality={min_quality_score}, cache_ns={cache_namespace}"
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)
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client: BinanceClient | None = None
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try:
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# 推荐服务不需要特定账户的 API 密钥，只需要获取行情数据
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# 使用空 API 密钥（公开接口）或使用只读权限的密钥
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# 重要：推荐服务不应该读取任何 account_id 的 API key，即使环境变量设置了 ATS_ACCOUNT_ID
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logger.info("推荐服务初始化（不依赖特定账户，只获取行情数据）")
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logger.info("推荐服务明确使用空 API Key，确保不会读取任何账户的密钥")
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# 使用空字符串明确表示"只使用公开接口"，不会被 config 覆盖
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client = BinanceClient(api_key="", api_secret="") # 使用空密钥，只获取公开行情
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# 验证：确保 API key 确实是空的
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if client.api_key:
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logger.error(f"❌ 推荐服务 API Key 非空！当前值: {client.api_key[:4]}...{client.api_key[-4:] if len(client.api_key) > 8 else ''}")
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logger.error(" 这可能导致推荐服务使用错误的账户密钥，请检查 BinanceClient.__init__ 逻辑")
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else:
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logger.info("✓ 推荐服务 API Key 确认为空，将只使用公开接口")
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await client.connect()
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scanner = MarketScanner(client)
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risk_manager = RiskManager(client)
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recommender = TradeRecommender(client, scanner, risk_manager)
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while True:
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try:
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# 每轮都从Redis刷新配置（确保推荐侧也能动态生效）
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try:
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if config._config_manager:
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config._config_manager.reload_from_redis()
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config.TRADING_CONFIG = config._get_trading_config()
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except Exception:
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pass
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# 分布式锁：避免多实例同时跑
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got_lock = await _acquire_reco_lock(client, ttl_sec=max(10, scan_interval))
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if not got_lock:
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logger.debug("推荐生成锁未获取到（可能有其他实例在跑），跳过本轮")
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await asyncio.sleep(min(5, scan_interval))
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continue
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recos = await recommender.generate_recommendations(
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min_signal_strength=min_signal_strength,
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max_recommendations=max_recommendations,
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add_to_cache=True,
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min_quality_score=min_quality_score,
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scan_cache_namespace=cache_namespace,
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)
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logger.info(f"推荐生成完成: {len(recos)} 条（已写入Redis snapshot）")
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except Exception as e:
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logger.error(f"推荐生成循环异常: {e}", exc_info=True)
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await asyncio.sleep(max(5, scan_interval))
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finally:
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if client:
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try:
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await client.disconnect()
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except Exception:
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pass
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if __name__ == "__main__":
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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pass
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except Exception as e:
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logging.getLogger(__name__).error(f"推荐进程异常退出: {e}", exc_info=True)
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raise
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