#!/usr/bin/env python3 # -*- coding: utf-8 -*- import json import re from datetime import datetime def load_visual_design_data(): """加载视觉设计岗位简历数据""" with open('网页未导入数据/视觉设计产业/视觉设计岗位简历.json', 'r', encoding='utf-8') as f: return json.load(f) def extract_questions(content): """从面试题内容中提取前5个问题和答案""" questions = [] # 提取所有问题 pattern = r'(\d+)\.\s*问题[::]?\s*(.*?)(?:\n\s*)?(?:参考回答[::]?)(.*?)(?=\d+\.\s*问题|$)' matches = re.findall(pattern, content, re.DOTALL) for i, match in enumerate(matches[:5], 1): # 只取前5个问题 q_num = match[0] question_text = match[1].strip() answer_text = match[2].strip() questions.append({ "id": f"q1_{i}", "question": question_text, "answer": answer_text }) return questions def update_industry_questions_directly(industry_name, position_name, visual_data): """直接更新指定岗位群的面试题""" # 查找对应的面试题内容 interview_content = None for item in visual_data: if item.get('岗位名称') == position_name and item.get('面试题内容'): interview_content = item.get('面试题内容') break if not interview_content: return None, f"未找到{position_name}的面试题" # 提取问题 questions = extract_questions(interview_content) if not questions: return None, f"未能提取{position_name}的面试题" # 创建带有subQuestions的结构 result = { "id": "group_q1", "question": f"# {industry_name}面试题", "subQuestions": questions } return result, None def main(): print("=== 最终替换面试题数据 ===\n") # 创建备份 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') backup_name = f'src/mocks/resumeInterviewMock.js.backup_{timestamp}_final' with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f: mock_content = f.read() with open(backup_name, 'w', encoding='utf-8') as f: f.write(mock_content) print(f"✓ 已创建备份: {backup_name}\n") # 加载视觉设计数据 visual_data = load_visual_design_data() # 岗位映射 industry_map = { 'UI设计': 'UI设计师', '包装设计': '包装设计师', '插画设计': '插画师', '灯光': '影视灯光', '动画设计': '动画师', '后期特效': '特效设计师', '剪辑': '剪辑师', '品牌设计': '品牌视觉内容策划', '平面设计': '平面设计师', '三维设计': 'CG总监助理', '摄影/摄像': '摄影师', '室内设计': '室内设计师', '调色': '调色师', '新媒体运营': '新媒体运营专员', '音频处理': '录音师', '影视节目策划': '文案策划', '直播': '直播专员' } updated_count = 0 for industry_name, position_name in industry_map.items(): print(f"处理 {industry_name}...") # 获取新的questions数据 new_questions, error = update_industry_questions_directly(industry_name, position_name, visual_data) if error: print(f" ⚠️ {error}") continue # 将新的questions转换为JSON字符串 questions_json = json.dumps([new_questions], ensure_ascii=False, indent=2) # 调整缩进(每行加4个空格) lines = questions_json.split('\n') adjusted_lines = [] for line in lines: if line.strip(): adjusted_lines.append(' ' + line) else: adjusted_lines.append('') questions_json = '\n'.join(adjusted_lines).strip() # 使用更简单的替换方法 # 找到industry name,然后替换其后的整个questions数组 pattern = rf'("name":\s*"{re.escape(industry_name)}".*?"questions":\s*)\[[\s\S]*?\](?=\s*\}})' replacement = rf'\1{questions_json}' new_mock_content = re.sub(pattern, replacement, mock_content, count=1, flags=re.MULTILINE) if new_mock_content != mock_content: mock_content = new_mock_content updated_count += 1 print(f" ✓ 成功更新 (使用岗位: {position_name}, 共{len(new_questions['subQuestions'])}个问题)") else: print(f" ✗ 未能更新") # 保存文件 with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f: f.write(mock_content) print(f"\n✅ 更新完成!成功更新{updated_count}个岗位群") # 验证语法 import subprocess try: result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'], capture_output=True, text=True) if result.returncode == 0: print("✅ 文件语法验证通过") # 验证一个具体的更新结果 if updated_count > 0: print("\n验证UI设计的第一个问题:") with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f: content = f.read() # 查找UI设计的第一个问题 match = re.search(r'"name":\s*"UI设计".*?"q1_1".*?"question":\s*"([^"]+)"', content, re.DOTALL) if match: print(f" 问题: {match.group(1)[:50]}...") else: print(f"❌ 语法错误:\n{result.stderr}") print("\n恢复备份...") with open(backup_name, 'r', encoding='utf-8') as f: backup_content = f.read() with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f: f.write(backup_content) print("已恢复备份") except Exception as e: print(f"⚠️ 无法验证语法: {str(e)}") if __name__ == '__main__': main()