"""
数据采集服务 - 包装原始采集脚本
"""
import json
import logging
import sys
import os
from datetime import datetime
from typing import Dict, List, Optional

logger = logging.getLogger(__name__)

# 获取原始采集脚本路径 (buffer_platform/app/services -> buffer_platform -> parent = market_data_colector_platform)
SCRIPT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..', '..'))
if SCRIPT_DIR not in sys.path:
    sys.path.insert(0, SCRIPT_DIR)
    logger.info(f"已添加采集脚本路径到sys.path: {SCRIPT_DIR}")


def fetch_symbol_data(
    symbol: str,
    data_type: str = "futures",
    periods: Optional[List[str]] = None,
    max_workers: int = 2,
) -> Dict:
    """
    获取单个品种的多周期数据。

    返回格式:
    {
        "symbol": "SN2504",
        "type": "futures",
        "current_price": 12345.0,
        "timestamp": "2025-01-15T10:30:00+08:00",
        "timeframes": {
            "5min": [{"datetime": ..., "open": ..., ...}, ...],
            ...
        }
    }
    """
    try:
        from futures_data_collector import collect_futures_data, collect_stock_data

        if data_type == "stock":
            result = collect_stock_data(symbol)
        else:
            result = collect_futures_data(symbol)

        # 如果指定了周期，只保留需要的
        if periods:
            filtered = {}
            for p in periods:
                if p in result.get("timeframes", {}):
                    filtered[p] = result["timeframes"][p]
            result["timeframes"] = filtered

        return result

    except Exception as e:
        logger.error(f"采集 {symbol} 数据失败: {e}")
        return {
            "symbol": symbol,
            "type": data_type,
            "current_price": None,
            "timestamp": datetime.now().isoformat(),
            "timeframes": {},
            "error": str(e),
        }


def fetch_batch(
    symbols: List[str],
    data_type: str = "futures",
    periods: Optional[List[str]] = None,
    max_workers: int = 2,
) -> Dict[str, Dict]:
    """批量获取多个品种数据（串行，避免过度并发）"""
    results = {}
    for sym in symbols:
        logger.info(f"开始采集 {sym} ...")
        results[sym] = fetch_symbol_data(sym, data_type, periods, max_workers)
    return results