202 lines
7.4 KiB
Python
202 lines
7.4 KiB
Python
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#!/usr/bin/env python3
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import json
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import re
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import subprocess
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from datetime import datetime
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print("正在提取化工岗位面试题...")
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# 读取化工岗位简历数据
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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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chemical_data = json.load(f)
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# 收集所有岗位群的面试题
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job_group_questions = {}
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total_questions = 0
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# 遍历所有岗位
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for position in chemical_data:
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job_group = position.get('简历岗位群', '')
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interview_content = position.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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# 初始化岗位群
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if job_group not in job_group_questions:
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job_group_questions[job_group] = []
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# 统一的面试题解析逻辑
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questions = []
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# 尝试按不同格式解析
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lines = interview_content.split('\n')
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current_q = None
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current_a = []
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for i, line in enumerate(lines):
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line = line.strip()
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if not line:
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continue
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# 检测问题标志（数字开头的行）
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if re.match(r'^\d+[\.、]', line):
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# 保存之前的问答对
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if current_q and current_a:
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answer_text = '\n'.join(current_a).strip()
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if answer_text:
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questions.append({
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'question': current_q,
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'answer': answer_text
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})
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# 开始新问题
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current_q = line
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current_a = []
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# 检测答案标志
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elif any(marker in line for marker in ['示例答案', '答案：', '正确答案', '正确选项']):
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# 答案开始标记
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if i + 1 < len(lines):
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# 下一行开始是答案内容
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continue
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# 收集答案内容
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elif current_q and not re.match(r'^\d+[\.、]', line):
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# 这可能是答案的一部分
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if line.startswith(('A.', 'B.', 'C.', 'D.')):
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# 选择题选项，加入到问题中
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current_q += '\n' + line
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elif line.startswith(('-', '•', '·')):
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# 列表形式的答案
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current_a.append(line)
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elif not line.startswith('#'):
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# 普通答案内容
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current_a.append(line)
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# 保存最后一个问答对
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if current_q and current_a:
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answer_text = '\n'.join(current_a).strip()
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if answer_text:
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questions.append({
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'question': current_q,
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'answer': answer_text
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})
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# 将问题添加到岗位群（避免重复）
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for q in questions:
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is_duplicate = False
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for existing in job_group_questions[job_group]:
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if existing['question'] == q['question']:
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is_duplicate = True
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break
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if not is_duplicate:
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job_group_questions[job_group].append(q)
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total_questions += 1
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# 如果某个岗位群没有题目，使用该岗位群其他岗位的题目
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for position in chemical_data:
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job_group = position.get('简历岗位群', '')
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if job_group and len(job_group_questions.get(job_group, [])) == 0:
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# 这个岗位群没有题目，尝试从同组其他岗位提取
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for other_position in chemical_data:
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if other_position.get('简历岗位群') == job_group:
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content = other_position.get('面试题内容', '')
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if '示例答案' in content or '答案' in content:
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# 创建通用面试题
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job_group_questions[job_group] = [
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{
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"question": f"请介绍一下你对{job_group}岗位的理解",
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"answer": f"需要掌握{job_group}相关的专业知识和技能，确保工作安全高效。"
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},
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{
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"question": f"你为什么选择{job_group}这个职业方向？",
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"answer": f"对{job_group}领域充满兴趣，希望在这个领域深入发展。"
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},
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{
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"question": f"你认为{job_group}工作中最重要的是什么？",
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"answer": "安全意识、专业技能和团队协作是最重要的。"
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}
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]
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total_questions += 3
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break
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# 输出统计信息
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print(f"\n===== 化工岗位面试题提取完成 =====")
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print(f"总岗位群数: {len(job_group_questions)}")
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print(f"总面试题数: {total_questions}")
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print(f"\n各岗位群面试题数量：")
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for job_group, questions in sorted(job_group_questions.items()):
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print(f" {job_group}: {len(questions)} 题")
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# 读取现有mock文件
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print(f"\n正在更新 resumeInterviewMock.js...")
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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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# 备份文件
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timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_file = f'src/mocks/resumeInterviewMock.js.backup_all_{timestamp}'
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with open(backup_file, '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_file}")
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# 更新每个岗位群的面试题
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updated_count = 0
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for job_group, questions in job_group_questions.items():
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if not questions:
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continue
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# 构建subQuestions数组内容
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sub_questions_items = []
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for i, q in enumerate(questions):
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# 创建问题对象（使用json.dumps来确保正确的转义）
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question_obj = {
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"id": f"q{i+1}",
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"question": q['question'],
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"answer": q['answer']
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}
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# 转换为JSON字符串，确保正确处理换行等特殊字符
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json_str = json.dumps(question_obj, ensure_ascii=False, indent=20)
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sub_questions_items.append(json_str)
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# 创建完整的subQuestions内容
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sub_questions_content = ',\n'.join(sub_questions_items)
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# 查找并替换对应岗位群的subQuestions
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# 注意：question字段的值是"xxx岗位群面试题"格式
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pattern = rf'("question"\s*:\s*"{re.escape(job_group)}岗位群面试题"[^}}]*?"subQuestions"\s*:\s*)\[[^\]]*\]'
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replacement = rf'\1[\n{sub_questions_content}\n ]'
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new_content = re.sub(pattern, replacement, content, flags=re.DOTALL)
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if new_content != content:
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content = new_content
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updated_count += 1
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print(f"✓ 已更新 {job_group} 的 {len(questions)} 道面试题")
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# 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(content)
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# 验证语法
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print(f"\n正在验证语法...")
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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, encoding='utf-8')
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if result.returncode == 0:
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print(f"✓ 语法检查通过")
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print(f"✓ 成功更新了 {updated_count} 个岗位群的面试题")
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print(f"\n✅ 所有面试题更新成功完成！共更新 {total_questions} 道题目")
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else:
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print(f"\n✗ 语法检查失败: {result.stderr}")
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# 恢复备份
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with open(backup_file, 'r', encoding='utf-8') as f:
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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(content)
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print(f"已从备份恢复")
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except Exception as e:
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print(f"错误: {e}")
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