#!/usr/bin/env python3
"""
修复时间戳问题的诊断和解决方案
"""
import os
import json
import pandas as pd
from datetime import datetime, timezone

def check_config_timestamp(config_path="config.json"):
    """检查配置文件中的时间戳配置"""
    try:
        with open(config_path, 'r') as f:
            config = json.load(f)
        
        print("🔍 检查配置文件时间设置...")
        
        # 检查交易所配置
        if 'exchange' in config:
            exchange = config['exchange']
            print(f"✅ 交易所配置: {exchange.get('name', 'unknown')}")
            
            # 检查时区设置
            if 'timezone' in exchange:
                print(f"🕐 交易所时区: {exchange['timezone']}")
            else:
                print("⚠️  未设置交易所时区")
        
        # 检查时间范围配置
        if 'timerange' in config:
            print(f"📅 时间范围: {config['timerange']}")
        
        # 检查时间框架
        if 'timeframe' in config:
            print(f"⏱️  时间框架: {config['timeframe']}")
            
        return True
        
    except Exception as e:
        print(f"❌ 配置文件检查失败: {e}")
        return False

def test_dataframe_index():
    """测试DataFrame索引类型"""
    try:
        # 创建测试数据
        dates = pd.date_range('2024-08-17', periods=10, freq='3min')
        df = pd.DataFrame({
            'open': [100.0] * 10,
            'high': [101.0] * 10,
            'low': [99.0] * 10,
            'close': [100.5] * 10,
            'volume': [1000.0] * 10
        }, index=dates)
        
        print("\n🔍 测试DataFrame索引类型...")
        print(f"索引类型: {type(df.index[0])}")
        print(f"索引值示例: {df.index[0]}")
        
        # 测试时间戳转换
        timestamp = int(df.index[0].timestamp())
        print(f"时间戳转换: {timestamp}")
        
        return True
        
    except Exception as e:
        print(f"❌ DataFrame测试失败: {e}")
        return False

def create_debug_config():
    """创建调试配置"""
    debug_config = {
        "exchange": {
            "name": "binance",
            "key": "your_api_key",
            "secret": "your_api_secret",
            "ccxt_config": {"enableRateLimit": True},
            "ccxt_async_config": {"enableRateLimit": True},
            "markets_refresh_interval": 60
        },
        "timeframe": "3m",
        "stake_currency": "USDT",
        "stake_amount": 10,
        "tradable_balance_ratio": 0.99,
        "fiat_display_currency": "USD",
        "dry_run": True,
        "cancel_open_orders_on_exit": False,
        "trading_mode": "spot",
        "margin_mode": "",
        "unfilledtimeout": {"entry": 10, "exit": 10},
        "entry_pricing": {
            "price_side": "same",
            "use_order_book": True,
            "order_book_top": 1,
            "price_last_balance": 0.0
        },
        "exit_pricing": {
            "price_side": "same",
            "use_order_book": True,
            "order_book_top": 1,
            "price_last_balance": 0.0
        }
    }
    
    with open('debug_config.json', 'w') as f:
        json.dump(debug_config, f, indent=2)
    
    print("✅ 已创建调试配置: debug_config.json")
    return True

if __name__ == "__main__":
    print("🚀 开始时间戳问题诊断...")
    
    # 检查配置文件
    check_config_timestamp()
    
    # 测试DataFrame索引
    test_dataframe_index()
    
    # 创建调试配置
    create_debug_config()
    
    print("\n📋 诊断完成！")
    print("建议操作:")
    print("1. 重启Freqtrade服务")
    print("2. 检查config.json中的时间配置")
    print("3. 清理缓存数据")