cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
206 lines
7.4 KiB
Python
206 lines
7.4 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 create_backup(file_path):
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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_path = f"{file_path}.backup_complete_{timestamp}"
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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with open(backup_path, '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_path}")
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return backup_path
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def load_chemical_data():
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"""加载化工岗位简历数据"""
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with open('网页未导入数据/化工产业/化工岗位简历.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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def parse_interview_questions(content):
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"""解析面试题内容，提取问题和答案"""
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questions = []
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if not content:
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return questions
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# 提取模拟问答题
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if "模拟问答题" in content:
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# 分割问题部分
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sim_section = content.split("# 二、")[0] if "# 二、" in content else content
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# 查找每个问题
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pattern = r'(\d+)\.\s*([^？?]+[？?])'
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matches = re.findall(pattern, sim_section)
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for i, (num, question) in enumerate(matches[:3]): # 取前3个
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# 查找对应的示例答案
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answer_pattern = rf'{num}\.[^示]*示例答案[：:]\s*([^。；！？\n]+[。；！？])'
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answer_match = re.search(answer_pattern, sim_section)
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if answer_match:
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answer = answer_match.group(1).strip()[:150] # 限制长度
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else:
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answer = "请参考专业培训资料获取详细解答。"
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questions.append({
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"id": f"q{i+1}",
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"question": question.strip(),
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"answer": answer
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})
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# 提取选择题
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if "选择题" in content and len(questions) < 5:
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choice_section = content.split("# 二、选择题")[1] if "# 二、选择题" in content else ""
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if choice_section:
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# 查找选择题
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choice_pattern = r'(\d+)\.\s*([^？?（]+[^？?\n]*[？?])'
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choice_matches = re.findall(choice_pattern, choice_section)
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for i, (num, question) in enumerate(choice_matches[:2]): # 取前2个
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# 查找答案
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answer_pattern = rf'正确[答案选项][：:]\s*([A-D,、\s]+)'
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answer_match = re.search(answer_pattern, choice_section[choice_section.find(question):])
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if answer_match:
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answer = f"正确答案：{answer_match.group(1).strip()}"
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else:
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answer = "请查看答案解析"
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questions.append({
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"id": f"choice{i+1}",
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"question": question.strip()[:100],
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"answer": answer
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})
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# 如果没有找到题目，创建默认题目
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if not questions:
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questions = [
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{
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"id": "default1",
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"question": "请介绍一下你对该岗位的理解和认识",
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"answer": "需要掌握专业知识，注重安全生产，不断学习提升。"
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},
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{
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"id": "default2",
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"question": "你为什么选择化工行业",
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"answer": "化工行业是国民经济的重要支柱，发展前景广阔。"
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}
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]
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return questions
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def update_interview_questions():
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"""更新面试题数据"""
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mock_file = 'src/mocks/resumeInterviewMock.js'
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# 创建备份
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backup_path = create_backup(mock_file)
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# 加载化工数据
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chemical_data = load_chemical_data()
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# 按岗位群整理面试题
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questions_by_group = {}
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for item in chemical_data:
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group = item.get('简历岗位群', '')
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if group and group not in questions_by_group:
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content = item.get('面试题内容', '')
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questions = parse_interview_questions(content)
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if questions:
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questions_by_group[group] = questions
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print(f"✓ 为 {group} 解析了 {len(questions)} 个面试题")
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# 读取mock文件
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with open(mock_file, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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# 逐行处理，更新subQuestions
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new_lines = []
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i = 0
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while i < len(lines):
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line = lines[i]
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new_lines.append(line)
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# 查找 "subQuestions": []
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if '"subQuestions": []' in line or '"subQuestions": [' in line:
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# 查找对应的岗位群
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group_name = None
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for j in range(max(0, i-15), i):
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if '"name":' in lines[j]:
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match = re.search(r'"name":\s*"([^"]+)"', lines[j])
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if match:
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group_name = match.group(1)
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break
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if group_name and group_name in questions_by_group:
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# 如果是空数组，替换为有内容的数组
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if '[]' in line:
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questions = questions_by_group[group_name]
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# 生成格式化的JSON
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questions_json = json.dumps(questions, ensure_ascii=False, indent=10)
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lines_json = questions_json.split('\n')
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# 替换当前行
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new_lines[-1] = line.replace('[]', '[\n')
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# 添加问题数据
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for json_line in lines_json[1:-1]: # 跳过首尾的[]
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new_lines.append(' ' + json_line + '\n')
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new_lines.append(' ]\n')
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print(f" 已更新 {group_name} 的面试题")
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else:
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# 如果已经有内容，跳过到结束
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bracket_count = 1
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i += 1
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while i < len(lines) and bracket_count > 0:
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if '[' in lines[i]:
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bracket_count += lines[i].count('[')
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if ']' in lines[i]:
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bracket_count -= lines[i].count(']')
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new_lines.append(lines[i])
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if bracket_count == 0:
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break
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i += 1
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i += 1
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# 写回文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.writelines(new_lines)
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print("\n检查语法...")
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# 验证语法
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import subprocess
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result = subprocess.run(['node', '-c', mock_file], capture_output=True, text=True)
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if result.returncode == 0:
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print("✓ 语法检查通过")
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return True
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else:
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print("✗ 语法检查失败:")
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print(result.stderr[:300])
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# 恢复备份
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with open(backup_path, 'r', encoding='utf-8') as f:
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backup_content = f.read()
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(backup_content)
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print("已恢复备份文件")
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return False
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def main():
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"""主函数"""
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print("开始添加完整的面试题数据...\n")
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if update_interview_questions():
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print("\n✅ 面试题数据添加成功！")
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else:
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print("\n❌ 面试题数据添加失败")
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if __name__ == "__main__":
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main() |