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

import re
from datetime import datetime

def create_backup(file_path):
    """创建备份文件"""
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    backup_path = f"{file_path}.backup_{timestamp}"
    with open(file_path, 'r', encoding='utf-8') as f:
        content = f.read()
    with open(backup_path, 'w', encoding='utf-8') as f:
        f.write(content)
    print(f"已创建备份: {backup_path}")
    return backup_path

def remove_fake_modified_versions():
    """删除没有真实修改版的岗位的modified字段"""
    file_path = 'src/mocks/resumeInterviewMock.js'
    
    # 创建备份
    create_backup(file_path)
    
    # 有真实修改版的岗位列表（这些要保留modified）
    real_modified_positions = [
        "会展策划师",
        "会展执行助理",
        "会展讲解员",
        "活动策划师",
        "活动执行",
        "漫展策划师",
        "旅游规划师",
        "旅游计调专员",
        "景区运营专员",
        "文旅运营总监助理"
    ]
    
    # 读取文件内容
    with open(file_path, 'r', encoding='utf-8') as f:
        content = f.read()
    
    # 找到所有包含position和modified的代码块
    # 匹配模式：从position: "岗位名" 开始，到包含modified字段的整个content对象
    pattern = r'position:\s*"([^"]+)".*?content:\s*\{[^}]*?original:\s*`[^`]*?`[^}]*?modified:\s*`[^`]*?`[^}]*?\}'
    
    def process_match(match):
        full_match = match.group(0)
        position_name = match.group(1)
        
        # 如果是有真实修改版的岗位，保持不变
        if position_name in real_modified_positions:
            print(f"✓ 保留 {position_name} 的修改版")
            return full_match
        
        # 否则，删除modified字段
        # 找到modified字段的开始位置
        modified_pattern = r',\s*modified:\s*`[^`]*?`'
        new_content = re.sub(modified_pattern, '', full_match)
        print(f"✗ 删除 {position_name} 的假修改版")
        return new_content
    
    # 执行替换
    new_content = re.sub(pattern, process_match, content, flags=re.DOTALL)
    
    # 保存文件
    with open(file_path, 'w', encoding='utf-8') as f:
        f.write(new_content)
    
    print("\n处理完成！")

def verify_results():
    """验证处理结果"""
    file_path = 'src/mocks/resumeInterviewMock.js'
    
    with open(file_path, 'r', encoding='utf-8') as f:
        content = f.read()
    
    # 统计所有有modified字段的岗位
    pattern = r'position:\s*"([^"]+)".*?modified:\s*`'
    matches = re.findall(pattern, content, re.DOTALL)
    
    print("\n验证结果：")
    print("=" * 50)
    print(f"还有modified字段的岗位（共{len(matches)}个）：")
    for position in matches:
        print(f"  - {position}")
    
    # 期望的岗位列表
    expected = [
        "会展策划师",
        "会展执行助理",
        "会展讲解员",
        "活动策划师",
        "活动执行",
        "漫展策划师",
        "旅游规划师",
        "旅游计调专员",
        "景区运营专员",
        "文旅运营总监助理"
    ]
    
    # 检查是否匹配
    print("\n检查结果：")
    for position in expected:
        if position in matches:
            print(f"  ✓ {position} - 已保留modified")
        else:
            print(f"  ✗ {position} - 未找到modified（可能有问题）")
    
    # 检查是否有不应该有modified的岗位
    unexpected = [p for p in matches if p not in expected]
    if unexpected:
        print("\n⚠️ 警告：以下岗位不应该有modified字段：")
        for position in unexpected:
            print(f"  - {position}")

def main():
    print("开始处理没有真实修改版的岗位...")
    print("=" * 50)
    
    # 删除假的修改版
    remove_fake_modified_versions()
    
    # 验证结果
    verify_results()

if __name__ == "__main__":
    main()