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>
174 lines
6.1 KiB
Python
174 lines
6.1 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_with_structure(content, industry_name):
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"""从面试题内容中提取问题和答案（保持subQuestions结构）"""
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questions = []
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# 提取所有问题
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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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# 创建子问题数组
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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"q1_{i}",
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"question": question_text,
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"answer": answer_text
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})
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# 如果找到了问题，创建带有subQuestions的结构
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if sub_questions:
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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 read_mock_file():
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"""读取并解析mock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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return content
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def update_industry_questions(mock_content, industry_name, questions):
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"""更新指定岗位群的面试题"""
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# 构建questions数组的JSON字符串
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questions_str = json.dumps(questions, ensure_ascii=False, indent=6)
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# 调整缩进（每行前面加4个空格）
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lines = questions_str.split('\n')
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adjusted_lines = []
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for line in lines:
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if line.strip():
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adjusted_lines.append(' ' + line)
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else:
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adjusted_lines.append(line)
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questions_str = '\n'.join(adjusted_lines)
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# 查找并替换
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# 模式：找到industry name，然后找到其questions数组
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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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suffix = match.group(2)
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return prefix + '\n' + questions_str.strip() + '\n ' + suffix
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new_content = re.sub(pattern, replace_func, mock_content, count=1, flags=re.DOTALL)
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return new_content != mock_content, new_content
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def main():
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"""主函数"""
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print("=== 更新面试题数据（保持结构） ===\n")
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# 创建备份
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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}_structured'
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mock_content = read_mock_file()
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with open(backup_name, 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"✓ 已创建备份: {backup_name}\n")
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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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# 岗位群映射
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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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"灯光": ["影视灯光", "摄影美术指导助理"],
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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"],
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"三维设计": ["CG总监助理", "3D建模师"],
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"后期特效": ["特效设计师", "特效合成师"],
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"剪辑": ["剪辑师", "剪辑助理"],
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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"],
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"直播": ["直播专员", "直播助理"],
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"新媒体运营": ["新媒体运营专员"],
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"影视节目策划": ["文案策划"],
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"室内设计": ["室内设计师"],
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"摄影/摄像": ["摄影师", "影视摄像"]
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}
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updated_count = 0
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for industry_name, position_names in industry_map.items():
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# 查找面试题内容
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questions = None
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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_with_structure(
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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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# 更新mock文件
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success, mock_content = update_industry_questions(mock_content, industry_name, questions)
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if success:
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updated_count += 1
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sub_count = len(questions[0]['subQuestions']) if questions else 0
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print(f"✓ 已更新岗位群：{industry_name} (使用岗位：{used_position}，共{sub_count}个问题)")
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else:
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print(f"✗ 未能更新岗位群：{industry_name}")
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# 保存文件
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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✅ 更新完成！共更新{updated_count}个岗位群")
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# 验证语法
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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:\n{result.stderr}")
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print(f"\n恢复备份: {backup_name}")
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with open(backup_name, '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("已恢复备份")
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except Exception as e:
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print(f"⚠️ 无法验证语法: {str(e)}")
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if __name__ == '__main__':
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main() |