from datetime import timedelta
from src.analysis.result_analyzer import ResultAnalyzer

# 导入 TqsdkEngine，而不是原来的 BacktestEngine
from src.indicators.indicators import RSI, HistoricalRange, BollingerBandwidth
from src.tqsdk_real_engine import TqsdkEngine

# 导入你的策略类
from src.strategies.OpenTwoFactorStrategy import SimpleLimitBuyStrategyLong, SimpleLimitBuyStrategyShort, SimpleLimitBuyStrategy

from tqsdk import TqApi, TqBacktest, TqAuth, TqKq, TqAccount

# --- 配置参数 ---
# Tqsdk 的本地数据文件路径，注意 Tqsdk 要求文件名为 KQ_m@交易所_品种名_周期.csv

# 主力合约的 symbol
symbol = 'KQ.m@CZCE.MA'
strategy_parameters = {
    'main_symbol': 'MA',  # 根据您的数据文件中的品种名称调整
    'trade_volume': 2,
    'lag': 7,
    # 'range_factor': 1.8,  # 示例值，需要通过网格搜索优化
    # 'profit_factor': 2.8,  # 示例值
    # 'range_factor': 1.6,  # 示例值，需要通过网格搜索优化
    # 'profit_factor': 2.1,  # 示例值
    'range_factor_l': 1.8,  # 示例值，需要通过网格搜索优化
    'profit_factor_l': 2.8,  # 示例值
    'range_factor_s': 1.6,  # 示例值，需要通过网格搜索优化
    'profit_factor_s': 2.1,  # 示例值
    'max_position': 10,
    'enable_log': True,
    'stop_loss_points': 20,
    'use_indicator': True,
    # 'indicator': HistoricalRange(11, 25, 20),
    # 'indicator': BollingerBandwidth(window=20, nbdev=2.0, down_bound=1.9, up_bound=3.25),
    'indicator_l': HistoricalRange(11, 25, 20),
    'indicator_s': BollingerBandwidth(window=20, nbdev=2.0, down_bound=1.9, up_bound=3.25),
}

# api = TqApi(TqKq(), auth=TqAuth("emanresu", "dfgvfgdfgg"))
api = TqApi(TqAccount('H宏源期货', '903308830', 'lzr520102'), auth=TqAuth("emanresu", "dfgvfgdfgg"))

# --- 1. 初始化回测引擎并运行 ---
print("\n初始化 Tqsdk 回测引擎...")
engine = TqsdkEngine(
    strategy_class=SimpleLimitBuyStrategy,
    strategy_params=strategy_parameters,
    api=api,
    symbol=symbol,
    duration_seconds=60 * 60,
    roll_over_mode=True,  # 启用换月模式检测
    history_length=50,
    close_bar_delta=timedelta(minutes=58)
)
engine.run()  # 这是一个同步方法，内部会运行 asyncio 循环