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>
109 lines
3.6 KiB
Python
109 lines
3.6 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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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):
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"""从面试题内容中提取问题和答案,保留原始格式"""
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questions = []
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# 分割成三个部分:专业能力类、行为经历类、情景应变类
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sections = re.split(r'#\s*[一二三]、\s*(专业能力类|行为经历类|情景应变类)', content)
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current_section = "专业能力类"
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for i in range(1, len(sections), 2):
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if i < len(sections):
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section_name = sections[i]
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section_content = sections[i+1] if i+1 < len(sections) else ""
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# 提取该部分的问题
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pattern = r'(\d+)\.\s*问题[::]?\s*(.*?)(?:参考回答[::]?|回答[::]?)(.*?)(?=\d+\.\s*问题|$)'
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matches = re.findall(pattern, section_content, re.DOTALL)
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for match in matches:
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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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# 保留答案中的换行和格式
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questions.append({
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"id": f"{section_name}_q{q_num}",
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"question": question_text,
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"answer": answer_text,
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"category": section_name
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})
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return questions
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def update_mock_file():
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"""直接更新resumeInterviewMock.js文件"""
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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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# 为每个岗位更新面试题
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for item in visual_data:
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position_name = item.get('岗位名称', '')
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interview_content = item.get('面试题内容', '')
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if not position_name or not interview_content:
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continue
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# 提取面试题
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questions = extract_questions_from_content(interview_content)
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if not questions:
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continue
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# 查找该岗位在mock文件中的位置
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# 使用更精确的模式匹配
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pattern = rf'(name:\s*["\']?{re.escape(position_name)}["\']?.*?questions:\s*\[)(.*?)(\])'
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def replace_questions(match):
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prefix = match.group(1)
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suffix = match.group(3)
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# 构建新的questions数组内容
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questions_str = ""
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for i, q in enumerate(questions[:10]): # 限制最多10个问题
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if i > 0:
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questions_str += ",\n "
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# 转义问题和答案中的特殊字符
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question_escaped = q['question'].replace('"', '\\"').replace('\n', '\\n')
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answer_escaped = q['answer'].replace('"', '\\"').replace('\n', '\\n')
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questions_str += f'''{{
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"id": "{q['id']}",
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"question": "{question_escaped}",
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"answer": "{answer_escaped}"
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}}'''
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return prefix + "\n " + questions_str + "\n " + suffix
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# 尝试替换
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new_content = re.sub(pattern, replace_questions, mock_content, flags=re.DOTALL)
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if new_content != mock_content:
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mock_content = new_content
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print(f"已更新岗位:{position_name}")
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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("更新完成!")
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if __name__ == '__main__':
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update_mock_file() |