import json
from datetime import datetime
import sys

file_path = '/Users/vivian/work/python/auto_trade_sys/交易记录_2026-02-05T11-39-32.json'

def parse_time(time_str):
    if not time_str:
        return None
    try:
        # Adjust format based on actual JSON content if needed
        # Assuming ISO format or similar based on filename
        return datetime.fromisoformat(time_str.replace('Z', '+00:00'))
    except ValueError:
        return None

try:
    with open(file_path, 'r', encoding='utf-8') as f:
        data = json.load(f)
    
    closed_trades = [t for t in data if t.get('状态') == '已平仓']
    
    total_trades = len(data)
    closed_count = len(closed_trades)
    
    print(f"Total Trades in File: {total_trades}")
    print(f"Closed Trades: {closed_count}")
    
    if closed_count == 0:
        print("No closed trades to analyze.")
        sys.exit(0)

    wins = [t for t in closed_trades if float(t.get('盈亏', 0)) > 0]
    losses = [t for t in closed_trades if float(t.get('盈亏', 0)) <= 0]
    
    total_pnl = sum(float(t.get('盈亏', 0)) for t in closed_trades)
    total_win_pnl = sum(float(t.get('盈亏', 0)) for t in wins)
    total_loss_pnl = sum(float(t.get('盈亏', 0)) for t in losses)
    
    avg_win = total_win_pnl / len(wins) if wins else 0
    avg_loss = total_loss_pnl / len(losses) if losses else 0
    
    print(f"\n--- Performance Analysis ---")
    print(f"Win Count: {len(wins)}")
    print(f"Loss Count: {len(losses)}")
    win_rate = (len(wins) / closed_count * 100) if closed_count > 0 else 0
    print(f"Win Rate: {win_rate:.2f}%")
    
    print(f"Total PnL: {total_pnl:.4f} USDT")
    print(f"Avg Win: {avg_win:.4f} USDT")
    print(f"Avg Loss: {avg_loss:.4f} USDT")
    
    if avg_loss != 0:
        rr_ratio = abs(avg_win / avg_loss)
        print(f"Avg Win / Avg Loss Ratio (R:R): {rr_ratio:.2f}")
    else:
        print("Avg Win / Avg Loss Ratio (R:R): Infinite (No Losses)")

    # Duration Analysis (if fields exist)
    # Assuming fields like '开仓时间' and '平仓时间' exist based on typical trade records
    # If not, this part will be skipped or adjusted
    
    # Let's inspect one record keys to be sure for future reference
    if closed_trades:
        print(f"\nSample Record Keys: {list(closed_trades[0].keys())}")

except Exception as e:
    print(f"Error: {e}")
    import traceback
    traceback.print_exc()