"""
trend_4h 缓存模块

基于已有 WS K 线缓存，将计算得到的 trend_4h（up/down/neutral）写入 Redis，
供 strategy、market_scanner 等复用，减少重复 EMA/MACD 计算。
Redis Key: trend_4h:{symbol}，TTL 10 分钟。
"""
import logging
from typing import Optional, Dict, Any

logger = logging.getLogger(__name__)

KEY_PREFIX = "trend_4h:"
try:
    from .redis_ttl import TTL_TREND_4H
except ImportError:
    TTL_TREND_4H = 600  # 10 分钟


def _judge_trend_4h(
    price_4h: float,
    ema20_4h: Optional[float],
    ema50_4h: Optional[float],
    macd_4h: Optional[Dict],
) -> str:
    """
    多指标投票判断 4H 趋势（与 strategy._judge_trend_4h 一致）。
    Returns: 'up' | 'down' | 'neutral'
    """
    if ema20_4h is None:
        return 'neutral'
    score = 0
    if price_4h > ema20_4h:
        score += 1
    elif price_4h < ema20_4h:
        score -= 1
    if ema50_4h is not None:
        if ema20_4h > ema50_4h:
            score += 1
        elif ema20_4h < ema50_4h:
            score -= 1
    if macd_4h and isinstance(macd_4h, dict):
        macd_hist = macd_4h.get('histogram', 0)
        if macd_hist > 0:
            score += 1
        elif macd_hist < 0:
            score -= 1
    if score >= 2:
        return 'up'
    if score <= -2:
        return 'down'
    return 'neutral'


async def get_trend_4h_cached(
    redis_cache: Any,
    symbol: str,
    price_4h: float,
    ema20_4h: Optional[float],
    ema50_4h: Optional[float],
    macd_4h: Optional[Dict],
    ttl_sec: int = None,
) -> str:
    """
    优先从 Redis 读取 trend_4h，未命中则计算并写入缓存。

    Args:
        redis_cache: RedisCache 实例（可为 None，则直接计算不缓存）
        symbol: 交易对
        price_4h, ema20_4h, ema50_4h, macd_4h: 计算 trend_4h 所需输入
        ttl_sec: 缓存 TTL，默认使用 redis_ttl.TTL_TREND_4H（10 分钟）

    Returns:
        'up' | 'down' | 'neutral'
    """
    if ttl_sec is None:
        ttl_sec = TTL_TREND_4H
    key = f"{KEY_PREFIX}{symbol}"
    if redis_cache:
        try:
            await redis_cache.connect()
            cached = await redis_cache.get(key)
            if cached and cached in ('up', 'down', 'neutral'):
                return cached
        except Exception as e:
            logger.debug(f"trend_4h 缓存读取失败 {symbol}: {e}")

    trend = _judge_trend_4h(price_4h, ema20_4h, ema50_4h, macd_4h)

    if redis_cache:
        try:
            await redis_cache.set(key, trend, ttl=ttl_sec)
        except Exception as e:
            logger.debug(f"trend_4h 缓存写入失败 {symbol}: {e}")

    return trend