38350dca36
主要更新： - 更新所有12个产业的教务系统数据和功能 - 删除所有 node_modules 文件夹（节省3.7GB） - 删除所有 .yoyo 缓存文件夹（节省1.2GB） - 删除所有 dist 构建文件（节省55MB） 项目优化： - 项目大小从 8.1GB 减少到 3.2GB（节省60%空间） - 保留完整的源代码和配置文件 - .gitignore 已配置，防止再次提交大文件 启动脚本： - start-industry.sh/bat/ps1 脚本会自动检测并安装依赖 - 首次启动时自动运行 npm install - 支持单个或批量启动产业系统 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
205 lines
8.2 KiB
Python
205 lines
8.2 KiB
Python
#!/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 extract_questions_from_content(content, industry_name):
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"""从面试题内容中提取问题和答案"""
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questions = []
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# 提取所有问题（保持原始格式）
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pattern = r'(\d+)\.\s*问题[：:]?\s*(.*?)(?:\n\s*)?(?:参考回答[：:]?)(.*?)(?=\d+\.\s*问题|$)'
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matches = re.findall(pattern, content, re.DOTALL)
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# 如果有subQuestions结构，需要创建分组
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if len(matches) > 0:
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# 创建主问题组
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sub_questions = []
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for i, match in enumerate(matches[:10], 1): # 限制为前10个问题
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q_num = match[0]
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question_text = match[1].strip()
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answer_text = match[2].strip()
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sub_questions.append({
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"id": f"q{i}_{q_num}",
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"question": question_text,
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"answer": answer_text
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})
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# 返回带有subQuestions的结构
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questions.append({
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"id": "group_q1",
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"question": f"# {industry_name}面试题",
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"subQuestions": sub_questions
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})
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return questions
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def create_backup():
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"""创建备份文件"""
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timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_name = f'src/mocks/resumeInterviewMock.js.backup_{timestamp}_safe'
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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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with open(backup_name, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"✓ 已创建备份: {backup_name}")
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return backup_name
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def update_mock_file():
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"""安全更新mock文件中的面试题数据"""
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# 创建备份
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backup_file = create_backup()
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try:
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# 加载视觉设计数据
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visual_data = load_visual_design_data()
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# 读取现有mock文件
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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mock_content = f.read()
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# 创建岗位群到岗位名称的映射
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industry_map = {
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"UI设计": ["UI设计师"],
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"包装设计": ["包装设计师", "包装设计师助理"],
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"插画设计": ["插画师"],
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"摄影/摄像": ["摄影师", "影视摄像", "摄影摄像助理"],
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"灯光": ["影视灯光", "摄影美术指导助理", "灯光助理"],
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"动画设计": ["动画师"],
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"平面设计": ["平面设计师"],
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"品牌设计": ["品牌视觉内容策划", "品牌视觉传播策划管培生"],
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"三维设计": ["CG总监助理", "3D建模师", "3D特效师"],
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"后期特效": ["特效设计师", "特效合成师", "渲染合成师"],
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"剪辑": ["剪辑师", "剪辑助理", "影视剪辑", "短视频剪辑师"],
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"调色": ["调色师"],
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"音频处理": ["录音师", "音效设计师", "音频编辑师", "混音师"],
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"直播": ["直播专员", "直播助理", "直播运营"],
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"新媒体运营": ["新媒体运营专员", "自媒体运营专员", "内容运营", "用户运营", "社群运营"],
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"影视节目策划": ["文案策划", "导演"],
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"室内设计": ["室内设计师"]
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}
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updated_count = 0
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errors = []
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# 为每个岗位群更新面试题
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for industry_name, position_names in industry_map.items():
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try:
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# 查找该岗位群的第一个岗位的面试题
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questions = []
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used_position = None
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for position_name in position_names:
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for item in visual_data:
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if item.get('岗位名称') == position_name and item.get('面试题内容'):
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questions = extract_questions_from_content(
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item.get('面试题内容', ''),
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industry_name
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)
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used_position = position_name
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break
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if questions:
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break
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if not questions:
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print(f"⚠️ 未找到面试题：{industry_name}")
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continue
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# 构建新的questions数组内容
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questions_json = json.dumps(questions, ensure_ascii=False, indent=2)
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# 调整缩进
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questions_json = '\n'.join([' ' + line if line.strip() else line
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for line in questions_json.split('\n')])
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# 查找并替换该岗位群的questions
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# 使用更精确的模式匹配
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pattern = rf'("name":\s*"{re.escape(industry_name)}"[^{{]*?"questions":\s*)\[[^\]]*?\]'
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def replace_func(match):
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prefix = match.group(1)
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return prefix + questions_json.strip()
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# 执行替换
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new_content = re.sub(pattern, replace_func, mock_content, count=1, flags=re.DOTALL)
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if new_content != mock_content:
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mock_content = new_content
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updated_count += 1
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print(f"✓ 已更新岗位群：{industry_name} (使用岗位：{used_position})")
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else:
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print(f"✗ 未能更新岗位群：{industry_name}")
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except Exception as e:
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errors.append(f"{industry_name}: {str(e)}")
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print(f"✗ 更新{industry_name}时出错: {str(e)}")
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# 验证JSON语法
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try:
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# 尝试解析生成的内容（移除JS部分）
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test_content = mock_content.replace('const industries = ', '').replace('const resumes = ', '').replace('export { industries, resumes };', '').replace('export function getMockPageData() {', '').replace('return {', '{').replace('};', '}').replace('};\n}', '}')
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# 这只是基本检查
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print("\n正在验证语法...")
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except Exception as e:
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print(f"⚠️ 语法验证警告: {str(e)}")
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# 写回文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"\n✅ Mock文件更新完成！")
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print(f" 成功更新: {updated_count}个岗位群")
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if errors:
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print(f" 出错: {len(errors)}个")
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for error in errors:
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print(f" - {error}")
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# 验证文件语法
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import subprocess
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try:
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result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ 文件语法验证通过")
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else:
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print(f"⚠️ 文件语法验证失败: {result.stderr}")
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print(f"恢复备份文件: {backup_file}")
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# 恢复备份
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with open(backup_file, 'r', encoding='utf-8') as f:
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backup_content = f.read()
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(backup_content)
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print("已恢复到备份版本")
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except Exception as e:
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print(f"⚠️ 无法验证文件语法: {str(e)}")
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except Exception as e:
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print(f"✗ 更新过程出错: {str(e)}")
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print(f"备份文件位置: {backup_file}")
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# 恢复备份
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try:
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with open(backup_file, 'r', encoding='utf-8') as f:
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backup_content = f.read()
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(backup_content)
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print("已恢复到备份版本")
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except:
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print("无法自动恢复，请手动恢复备份")
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if __name__ == '__main__':
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print("=== 安全更新面试题数据 ===\n")
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update_mock_file()
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print("\n请刷新页面查看效果") |