#!/usr/bin/env python3 # -*- coding: utf-8 -*- import json import re # 读取智能制造岗位简历数据 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: smart_mfg_data = json.load(f) # 创建面试题映射字典 interview_questions_map = {} for item in smart_mfg_data: job_group = item.get('简历岗位群', '') interview_content = item.get('面试题内容', '') if job_group and interview_content: # 存储完整的面试题内容 interview_questions_map[job_group] = interview_content # 打印找到的岗位群 print("找到的岗位群面试题:") for key in interview_questions_map.keys(): print(f"- {key}") # 读取当前的mock文件 with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f: mock_content = f.read() # 备份原文件 import datetime backup_time = datetime.datetime.now().strftime('%Y%m%d_%H%M%S') with open(f'src/mocks/resumeInterviewMock.js.backup_{backup_time}', 'w', encoding='utf-8') as f: f.write(mock_content) print(f"\n已创建备份文件: src/mocks/resumeInterviewMock.js.backup_{backup_time}") # 需要更新的岗位群映射 job_group_mapping = { 'PLC': 'PLC类岗位面试题', '工业机器人': '工业机器人类岗位面试题', '焊接工艺': '焊接工艺类岗位面试题', '电气设计': '电气设计类岗位面试题', '机器视觉': '机器视觉类岗位面试题', '非标自动化设计': '非标自动化类岗位面试题' } # 解析面试题内容为结构化数据 def parse_interview_content(content): """解析面试题内容为结构化数据""" questions = [] lines = content.split('\n') current_section = None current_question = None current_answer = [] for line in lines: line = line.strip() if not line: continue # 检查是否是大标题（如 # 一、xxx） if line.startswith('# '): # 保存之前的问题 if current_question and current_section: answer_text = '\\n'.join(current_answer).strip() if not answer_text.startswith('示例答案') and not answer_text.startswith('答案'): answer_text = answer_text else: # 去掉"示例答案："或"答案："前缀 answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text) current_section['subQuestions'].append({ 'question': current_question, 'answer': answer_text }) # 创建新section if current_section: questions.append(current_section) section_title = line.replace('#', '').strip() current_section = { 'title': section_title, 'subQuestions': [] } current_question = None current_answer = [] # 检查是否是问题编号（如 1. xxx） elif re.match(r'^\d+\.\s+', line): # 保存之前的问题 if current_question and current_section: answer_text = '\\n'.join(current_answer).strip() if answer_text.startswith('示例答案') or answer_text.startswith('答案'): answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text) current_section['subQuestions'].append({ 'question': current_question, 'answer': answer_text }) # 提取新问题 current_question = re.sub(r'^\d+\.\s+', '', line) current_answer = [] # 否则是答案内容 else: if current_question: current_answer.append(line) # 保存最后一个问题 if current_question and current_section: answer_text = '\\n'.join(current_answer).strip() if answer_text.startswith('示例答案') or answer_text.startswith('答案'): answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text) current_section['subQuestions'].append({ 'question': current_question, 'answer': answer_text }) # 保存最后一个section if current_section: questions.append(current_section) return questions # 更新mock文件中的面试题 def update_mock_questions(mock_content, job_group_name, interview_content): """更新指定岗位群的面试题""" # 解析面试题内容 parsed_questions = parse_interview_content(interview_content) if not parsed_questions: print(f" 警告: 无法解析 {job_group_name} 的面试题内容") return mock_content # 查找岗位群的位置 pattern = rf'"name":\s*"{re.escape(job_group_name)}"' matches = list(re.finditer(pattern, mock_content)) if not matches: print(f" 未找到岗位群: {job_group_name}") return mock_content for match in matches: # 找到questions数组的起始位置 start_pos = match.end() questions_pattern = r'"questions":\s*\[' questions_match = re.search(questions_pattern, mock_content[start_pos:start_pos+5000]) if not questions_match: continue questions_start = start_pos + questions_match.end() # 找到questions数组的结束位置 bracket_count = 1 i = questions_start in_string = False escape_next = False while i < len(mock_content) and bracket_count > 0: char = mock_content[i] if escape_next: escape_next = False elif char == '\\': escape_next = True elif char == '"' and not escape_next: in_string = not in_string elif not in_string: if char == '[': bracket_count += 1 elif char == ']': bracket_count -= 1 i += 1 if bracket_count == 0: questions_end = i - 1 # 构建新的questions数组 new_questions = [] for idx, section in enumerate(parsed_questions): sub_questions = [] for q_idx, q in enumerate(section['subQuestions']): answer = q['answer'].replace('"', '\\"').replace('\n', '\\n') sub_questions.append(f'''{{ "id": "q{idx}_{q_idx+1}", "question": "{q['question']}", "answer": "{answer}" }}''') new_questions.append(f'''{{ "id": "group_q{idx+1}", "question": "{section['title']}", "subQuestions": [ {','.join(sub_questions)} ] }}''') # 替换原有的questions内容 new_questions_str = ',\n '.join(new_questions) mock_content = mock_content[:questions_start] + '\n ' + new_questions_str + '\n ' + mock_content[questions_end:] print(f" ✓ 已更新 {job_group_name} 的面试题") break return mock_content # 执行更新 print("\n开始更新面试题:") updated_content = mock_content for mock_group_name, json_interview_name in job_group_mapping.items(): print(f"\n处理 {mock_group_name}:") # 查找对应的面试题内容 found = False for item in smart_mfg_data: if item.get('面试题', '') == json_interview_name: interview_content = item.get('面试题内容', '') if interview_content: updated_content = update_mock_questions(updated_content, mock_group_name, interview_content) found = True break if not found: print(f" 未找到 {json_interview_name} 的面试题数据") # 保存更新后的文件 with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f: f.write(updated_content) print("\n✅ 面试题更新完成！") print("已更新的岗位群:") for group in job_group_mapping.keys(): print(f" - {group}")