#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import pandas as pd
import json
from pathlib import Path

def test_excel_parsing():
    """测试Excel文件解析"""
    excel_path = "敌人配置表.xlsx"
    sheet_name = "敌人基础配置"
    
    print(f"正在读取Excel文件: {excel_path}")
    
    try:
        # 读取Excel文件
        df = pd.read_excel(excel_path, sheet_name=sheet_name)
        print(f"成功读取Excel文件，共{len(df)}行，{len(df.columns)}列")
        
        # 打印列名
        print(f"列名: {list(df.columns)}")
        
        # 打印前几行数据
        print("\n前5行数据:")
        for i in range(min(5, len(df))):
            print(f"第{i}行: {df.iloc[i].to_dict()}")
        
        # 模拟配置解析逻辑
        param_types = {
            '敌人ID': str,
            '敌人名称': str,
            '敌人类型': str,
            '稀有度': str,
            '权重': int,
            '生命值': int,
            '移动速度': int,
            '攻击力': int,
            '攻击范围': int,
            '攻击速度': float,
            '防御力': int,
            '金币奖励': int
        }
        
        # 检查第1行是否为描述行
        data_start_row = 1
        if len(df) > 1:
            first_cell = str(df.iloc[1, 0]).strip()
            print(f"第1行第一个单元格: '{first_cell}'")
            # 如果第1行第一个单元格是描述性文字，则从第2行开始
            if first_cell in ['唯一标识符', '描述', 'description', 'desc']:
                data_start_row = 2
                print("检测到描述行，跳过第1行")
            else:
                data_start_row = 1
                print("第1行是数据行，从第1行开始")
        print(f"\n数据起始行: {data_start_row}")
        
        # 解析多行数据
        config_list = []
        for i in range(data_start_row, len(df)):
            row_config = {}
            print(f"\n处理第{i}行数据:")
            
            for col_idx, col_name in enumerate(df.columns):
                param_name = str(col_name).strip()
                print(f"  列{col_idx}: {param_name}")
                
                if param_name in param_types:
                    try:
                        param_value = df.iloc[i, col_idx]
                        print(f"    原始值: {param_value} (类型: {type(param_value)})")
                        
                        if pd.isna(param_value):
                            print(f"    跳过空值")
                            continue
                        
                        param_type = param_types[param_name]
                        if param_type == bool:
                            row_config[param_name] = str(param_value).lower() in ['true', '1', 'yes', 'on']
                        else:
                            row_config[param_name] = param_type(param_value)
                        
                        print(f"    转换后: {row_config[param_name]}")
                    except (ValueError, TypeError, IndexError) as e:
                        print(f"    转换失败: {e}")
                        continue
                else:
                    print(f"    参数名不在类型映射中")
            
            if row_config:  # 只添加非空配置
                config_list.append(row_config)
                print(f"  添加配置: {row_config}")
            else:
                print(f"  跳过空配置")
        
        print(f"\n最终解析结果: 共{len(config_list)}个配置项")
        for i, config in enumerate(config_list):
            print(f"配置{i}: {config}")
        
        # 转换为敌人数据格式
        print("\n转换为敌人数据格式:")
        enemies = []
        for item in config_list:
            enemy_data = {
                'id': item.get('敌人ID', ''),
                'name': item.get('敌人名称', ''),
                'type': item.get('敌人类型', ''),
                'rarity': item.get('稀有度', ''),
                'weight': item.get('权重', 1),
                'health': item.get('生命值', 100),
                'speed': item.get('移动速度', 50),
                'attack': item.get('攻击力', 10),
                'range': item.get('攻击范围', 100),
                'attackSpeed': item.get('攻击速度', 1.0),
                'defense': item.get('防御力', 0),
                'goldReward': item.get('金币奖励', 10)
            }
            enemies.append(enemy_data)
            print(f"敌人数据: {enemy_data}")
        
    except Exception as e:
        print(f"解析失败: {e}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    test_excel_parsing()