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>
184 lines
6.1 KiB
Python
184 lines
6.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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完整导入所有岗位群的面试题
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将智能制造岗位简历.json中的所有面试题导入到mock文件
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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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print("=== 完整面试题导入工具 ===\n")
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# 1. 读取源数据
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print("1. 读取智能制造岗位简历.json...")
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with open('网页未导入数据/智能制造产业/智能制造岗位简历.json', 'r', encoding='utf-8') as f:
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source_data = json.load(f)
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# 2. 解析所有面试题
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print("2. 解析面试题数据...")
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interview_questions_map = {}
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for item in source_data:
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job_group = item.get('简历岗位群', '')
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interview_content = item.get('面试题内容', '')
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if not job_group or not interview_content:
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continue
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# 收集所有问题（不分章节，统一放在一起）
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all_questions = []
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# 使用更宽松的正则表达式匹配问题
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lines = interview_content.split('\n')
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i = 0
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while i < len(lines):
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line = lines[i].strip()
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# 匹配问题编号（1. 或 1、）
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question_match = re.match(r'^(\d+)[\.、]\s*(.+)', line)
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if question_match:
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question_num = question_match.group(1)
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question_text = question_match.group(2).strip()
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# 查找答案
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answer = ""
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i += 1
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# 继续查找答案，直到遇到下一个问题或章节
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while i < len(lines):
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next_line = lines[i].strip()
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# 如果遇到下一个问题编号或章节标题，停止
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if re.match(r'^\d+[\.、]\s*', next_line) or next_line.startswith('#'):
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i -= 1 # 回退，让外层循环处理
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break
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# 如果是答案标记
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if next_line and (next_line.startswith('答案') or next_line.startswith('示例答案')):
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# 提取答案内容
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answer = re.sub(r'^(答案|示例答案)[：:]?\s*', '', next_line).strip()
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if not answer:
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# 答案可能在下一行
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i += 1
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if i < len(lines):
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answer = lines[i].strip()
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break
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elif next_line and not answer:
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# 如果没有答案标记，下一个非空行可能就是答案
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if '：' not in next_line or not next_line.startswith('A.'):
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answer = next_line
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break
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i += 1
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# 如果没有找到答案，提供默认答案
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if not answer:
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answer = "请根据实际情况回答"
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all_questions.append({
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'question': question_text,
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'answer': answer
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})
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i += 1
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if all_questions:
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interview_questions_map[job_group] = all_questions
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print(f" - {job_group}: 解析到 {len(all_questions)} 道题")
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print(f"\n共解析 {len(interview_questions_map)} 个岗位群的面试题")
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# 3. 读取当前mock文件
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print("\n3. 读取当前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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# 4. 备份
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backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_file = f'src/mocks/resumeInterviewMock.js.backup_full_import_{backup_time}'
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print(f"4. 创建备份: {backup_file}")
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(mock_content)
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# 5. 更新每个岗位群的面试题
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print("\n5. 更新mock文件...")
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def update_questions(match):
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industry_name = match.group(1)
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if industry_name not in interview_questions_map:
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return match.group(0)
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questions = interview_questions_map[industry_name]
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# 构建新的questions数组（统一放在一个章节下）
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sub_questions = []
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for idx, q in enumerate(questions, 1):
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# 转义特殊字符
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question_text = q['question'].replace('\\', '\\\\').replace('"', '\\"')
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answer_text = q['answer'].replace('\\', '\\\\').replace('"', '\\"').replace('\n', ' ')
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sub_questions.append(f'''{{
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"id": "q1_{idx}",
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"question": "{question_text}",
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"answer": "{answer_text}"
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}}''')
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# 构建完整的questions结构
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questions_str = f'''[
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{{
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"id": "group_q1",
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"question": "# {industry_name}岗位面试题",
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"subQuestions": [
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{','.join(sub_questions)}
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]
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}}
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]'''
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# 构建替换内容
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before = match.group(0).split('"questions": [')[0]
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result = before + '"questions": ' + questions_str
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print(f" - {industry_name}: 更新为 {len(questions)} 道题")
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return result
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# 执行替换
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pattern = r'"name":\s*"([^"]+)"[^}]*?"questions":\s*\[.*?\]\s*(?=\s*\})'
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new_content = re.sub(pattern, update_questions, mock_content, flags=re.DOTALL)
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# 6. 保存文件
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print("\n6. 保存更新后的文件...")
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(new_content)
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# 7. 验证
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print("\n7. 验证结果...")
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import subprocess
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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("✅ 语法检查通过！")
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# 统计最终结果
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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final_content = f.read()
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print("\n=== 最终统计 ===")
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for group in interview_questions_map.keys():
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pattern = rf'"name": "{re.escape(group)}".*?"questions": \[(.*?)\]\s*\}}'
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match = re.search(pattern, final_content, re.DOTALL)
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if match:
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count = len(re.findall(r'"id": "q1_\d+', match.group(1)))
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print(f" - {group}: {count} 道题")
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print("\n✅ 所有岗位群的面试题已完整导入！")
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else:
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print("❌ 语法错误：")
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print(result.stderr)
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print("\n正在恢复备份...")
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with open(backup_file, 'r', encoding='utf-8') as f:
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mock_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(mock_content)
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print("已恢复到备份版本") |