"""
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


# 启动方式兼容（更鲁棒）：
# - supervisor 推荐：python -m trading_system.recommendations_main（相对导入）
# - 手动调试：python trading_system/recommendations_main.py（同目录导入）
try:
    from .binance_client import BinanceClient  # type: ignore
    from .market_scanner import MarketScanner  # type: ignore
    from .risk_manager import RiskManager  # type: ignore
    from .trade_recommender import TradeRecommender  # type: ignore
    from . import config  # type: ignore
except Exception:
    _here = Path(__file__).resolve().parent
    _root = _here.parent
    if str(_here) not in sys.path:
        sys.path.insert(0, str(_here))
    if str(_root) not in sys.path:
        sys.path.insert(0, str(_root))
    from binance_client import BinanceClient  # type: ignore
    from market_scanner import MarketScanner  # type: ignore
    from risk_manager import RiskManager  # type: ignore
    from trade_recommender import TradeRecommender  # type: ignore
    import config  # type: ignore


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:
        # 推荐服务不需要特定账户的 API 密钥，只需要获取行情数据
        # 使用空 API 密钥（公开接口）或使用只读权限的密钥
        logger.info("推荐服务初始化（不依赖特定账户，只获取行情数据）")
        client = BinanceClient(api_key="", api_secret="")  # 使用空密钥，只获取公开行情
        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__":
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        pass
    except Exception as e:
        logging.getLogger(__name__).error(f"推荐进程异常退出: {e}", exc_info=True)
        raise