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>
151 lines
5.9 KiB
Python
151 lines
5.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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完整更新所有岗位群的面试题（不限制数量）
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"""
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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 clean_question_text(question):
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"""删除所有题型前缀"""
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# 删除各种题型前缀
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prefixes = ['选择题', '填空题', '判断题', '问答题', '情景题', '案例', '模拟', '简答题']
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for prefix in prefixes:
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question = re.sub(f'^{prefix}[：:]', '', question)
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return question.strip()
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def fix_choice_answer(question, answer):
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"""修复选择题答案"""
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if answer and len(answer) == 1 and answer in 'ABCD':
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# 根据问题内容推断可能的答案
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if "不是" in question or "不属于" in question or "不合规" in question or "不允许" in question:
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return "请参考题目选项中与要求不符的选项"
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else:
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return "请参考题目选项中的正确答案"
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return answer
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def main():
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# 读取面试题数据
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with open('interview_questions_data.json', 'r', encoding='utf-8') as f:
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interview_data = json.load(f)
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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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lines = f.readlines()
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# 备份
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backup_name = f'src/mocks/resumeInterviewMock.js.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}_full'
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with open(backup_name, 'w', encoding='utf-8') as f:
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f.writelines(lines)
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print(f"已创建备份: {backup_name}")
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# 所有岗位群列表
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all_job_groups = [
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"BIM建筑信息模型",
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"房地产经纪",
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"工程采购",
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"工程监理",
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"工程造价与资料管理",
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"建筑安装工程",
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"建筑测量",
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"建筑工程检测",
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"建筑工程设计",
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"建筑工程制图",
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"建筑节能",
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"建筑施工与施工管理",
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"施工安全管理",
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"室内设计",
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"招投标管理"
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]
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# 逐个岗位群更新
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for job_group in all_job_groups:
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if job_group not in interview_data:
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print(f"警告: 未找到 {job_group} 的面试题数据")
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continue
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questions = interview_data[job_group]
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if not questions:
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print(f"警告: {job_group} 没有面试题")
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continue
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# 使用所有题目（不限制数量）
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selected_questions = []
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for q in questions:
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clean_q = {
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"id": q["id"],
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"question": clean_question_text(q["question"]),
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"answer": fix_choice_answer(q["question"], q["answer"])
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}
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selected_questions.append(clean_q)
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# 构建questions数组
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questions_obj = [{
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"id": f"group_{job_group}_q1",
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"question": f"{job_group}面试题",
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"subQuestions": selected_questions
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}]
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# 查找岗位群在文件中的位置
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job_group_found = False
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for i, line in enumerate(lines):
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if f'"name": "{job_group}"' in line:
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# 找到岗位群，现在查找其questions字段
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for j in range(i, min(i + 200, len(lines))): # 在接下来的200行内查找
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if '"questions":' in lines[j]:
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# 找到questions字段
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# 判断是数组开始还是空数组
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if '[]' in lines[j]:
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# 空数组，直接替换
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questions_json = json.dumps(questions_obj, ensure_ascii=False, indent=4)
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indented_json = questions_json.replace('\n', '\n ')
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lines[j] = ' "questions": ' + indented_json + '\n'
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job_group_found = True
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print(f"✓ 已更新: {job_group} ({len(selected_questions)} 道题)")
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break
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elif '[' in lines[j]:
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# 非空数组，需要找到结束位置并替换
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# 找到对应的 ]
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bracket_count = 1
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end_line = j + 1
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while end_line < len(lines) and bracket_count > 0:
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if '[' in lines[end_line]:
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bracket_count += lines[end_line].count('[')
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if ']' in lines[end_line]:
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bracket_count -= lines[end_line].count(']')
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if bracket_count == 0:
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break
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end_line += 1
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# 替换从j到end_line的内容
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questions_json = json.dumps(questions_obj, ensure_ascii=False, indent=4)
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indented_json = questions_json.replace('\n', '\n ')
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# 删除原有的questions内容
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del lines[j:end_line+1]
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# 插入新的questions
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lines.insert(j, ' "questions": ' + indented_json + '\n')
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job_group_found = True
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print(f"✓ 已更新: {job_group} ({len(selected_questions)} 道题)")
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break
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if job_group_found:
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break
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if not job_group_found:
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print(f"× 未找到: {job_group}")
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# 额外清理：删除任何残留的题型前缀
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content = ''.join(lines)
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content = re.sub(r'"question":\s*"判断题：([^"]*)"', r'"question": "\1"', content)
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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(content)
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print("\n更新完成！")
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print("- 已删除所有题型前缀")
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print("- 已将所有面试题内容放入对应岗位群（不限制数量）")
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if __name__ == "__main__":
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main() |