250 lines
8.1 KiB
Python
250 lines
8.1 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import re
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from datetime import datetime
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def load_visual_design_data():
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"""加载视觉设计岗位简历数据"""
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with open('网页未导入数据/视觉设计产业/视觉设计岗位简历.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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def create_position_groups(visual_data):
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"""根据岗位群对数据进行分组"""
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groups = {}
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for position in visual_data:
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group_name = position['简历岗位群']
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if group_name not in groups:
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groups[group_name] = []
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groups[group_name].append(position)
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return groups
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def convert_to_industries_format(position_groups):
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"""转换为industries格式"""
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industries = []
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for group_id, (group_name, positions) in enumerate(position_groups.items()):
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industry = {
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"id": f"visual_design_{group_id + 1}",
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"name": group_name,
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"positions": [],
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"questions": [{
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"id": f"group_q{group_id + 1}",
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"question": f"# 一、专业能力与行业认知",
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"subQuestions": [{
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"id": f"q{group_id + 1}_1",
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"question": f"{group_name}类岗位的核心职责是什么？",
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"answer": f"负责{group_name}相关工作，包括设计规划、创意实现、项目协作等。"
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}]
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}]
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}
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for pos_id, position in enumerate(positions):
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# 确定岗位等级
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level = position.get('岗位等级标签', '普通岗')
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# 创建岗位对象
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pos_obj = {
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"id": f"visual_design_{group_id + 1}_{pos_id + 1}",
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"title": position['岗位名称'],
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"level": level,
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"avatar": position.get('简历头像url', ''),
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"department": group_name,
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"type": "全职",
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"experience": "1-3年",
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"education": "大专",
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"salary": "6-12K",
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"location": "苏州",
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"updateTime": "2024-01-20",
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"description": f"负责{position['岗位名称']}相关工作",
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"requirements": [
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f"具备{group_name}专业技能",
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"熟悉相关设计软件",
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"具备良好的沟通协作能力",
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"有创新意识和学习能力"
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]
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}
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industry["positions"].append(pos_obj)
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industries.append(industry)
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return industries
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def create_resume_templates(visual_data):
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"""创建简历模板数据"""
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templates = {}
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# 按岗位群分组
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groups = create_position_groups(visual_data)
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for group_name, positions in groups.items():
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templates[group_name] = []
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for position in positions:
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template = {
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"id": f"resume_{len(templates[group_name]) + 1}",
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"position": position['岗位名称'],
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"level": position.get('岗位等级标签', '普通岗'),
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"industry": group_name,
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"studentInfo": {
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"name": "张小同",
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"gender": "女",
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"age": 22,
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"education": "大专",
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"major": "数字媒体艺术设计",
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"avatar": position.get('简历头像url', '')
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},
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"content": {
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"original": position.get('简历内容', ''),
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"modified": position.get('简历内容', '')
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},
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"interviewQuestions": position.get('面试题内容', '')
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}
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templates[group_name].append(template)
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return templates
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def create_joblevel_data(visual_data):
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"""创建joblevel.json数据"""
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job_levels = {
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"储备干部岗": [],
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"技术骨干岗": [],
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"普通岗": []
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}
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# 映射岗位等级
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level_mapping = {
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"储备干部岗": "high",
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"技术骨干岗": "middle",
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"普通岗": "ordinary"
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}
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for i, position in enumerate(visual_data):
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level_name = position.get('岗位等级标签', '普通岗')
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job_data = {
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"record_id": f"visual_design_{i + 1}",
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"position_name": position['岗位名称'],
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"img": position.get('简历头像url', '')
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}
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if level_name in job_levels:
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job_levels[level_name].append(job_data)
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# 构建最终数据结构
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result = {
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"code": 200,
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"message": "操作成功",
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"data": {}
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}
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for level_name, positions in job_levels.items():
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level_key = level_mapping.get(level_name, "ordinary")
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result["data"][level_key] = {
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"name": level_name,
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"list": positions
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}
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return result
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def update_resume_interview_mock(industries, resume_templates):
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"""更新resumeInterviewMock.js文件"""
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# 创建完整的mock数据结构
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mock_data = {
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"industries": industries,
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"resumeTemplates": resume_templates,
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"myResume": {
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"name": "张小同",
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"studentId": "2024001",
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"major": "数字媒体艺术设计",
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"education": "大专",
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"avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/default_student.jpeg"
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}
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}
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# 读取原文件
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 生成新的数据内容
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js_content = f"""// 简历与面试题Mock数据
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// 岗位群列表
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const industries = {json.dumps(industries, ensure_ascii=False, indent=2)};
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// 简历模板数据
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const resumeTemplates = {json.dumps(resume_templates, ensure_ascii=False, indent=2)};
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// 我的简历数据
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const myResume = {json.dumps(mock_data['myResume'], ensure_ascii=False, indent=2)};
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// 获取页面数据
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export const getMockPageData = () => {{
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return {{
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industries,
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resumeTemplates,
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myResume
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}};
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}};
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// 导出各个数据模块
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export {{ industries, resumeTemplates, myResume }};
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"""
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# 写入文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(js_content)
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print("✅ 已更新 resumeInterviewMock.js")
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def update_joblevel_json(joblevel_data):
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"""更新joblevel.json文件"""
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with open('src/data/joblevel.json', 'w', encoding='utf-8') as f:
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json.dump(joblevel_data, f, ensure_ascii=False, indent=4)
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print("✅ 已更新 joblevel.json")
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def main():
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print("🚀 开始更新视觉设计产业数据...")
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# 1. 加载视觉设计数据
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print("📖 加载视觉设计岗位数据...")
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visual_data = load_visual_design_data()
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print(f" 共加载 {len(visual_data)} 个岗位")
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# 2. 创建岗位群分组
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print("📝 创建岗位群分组...")
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position_groups = create_position_groups(visual_data)
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print(f" 共分为 {len(position_groups)} 个岗位群")
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for group_name, positions in position_groups.items():
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print(f" - {group_name}: {len(positions)} 个岗位")
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# 3. 转换为industries格式
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print("🔄 转换数据格式...")
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industries = convert_to_industries_format(position_groups)
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# 4. 创建简历模板数据
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resume_templates = create_resume_templates(visual_data)
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# 5. 创建joblevel数据
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joblevel_data = create_joblevel_data(visual_data)
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# 6. 更新文件
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print("💾 更新文件...")
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update_resume_interview_mock(industries, resume_templates)
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update_joblevel_json(joblevel_data)
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print("🎉 数据更新完成！")
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print("\n📊 更新统计:")
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print(f" - 产业数量: {len(industries)}")
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print(f" - 岗位总数: {sum(len(industry['positions']) for industry in industries)}")
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print(f" - 简历模板: {sum(len(templates) for templates in resume_templates.values())}")
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if __name__ == "__main__":
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main()
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