#!/usr/bin/env python3 import json import re import os from datetime import datetime # 读取视觉设计岗位简历.json文件获取所有面试题 json_file = '网页未导入数据/视觉设计产业/视觉设计岗位简历.json' mock_file = 'src/mocks/resumeInterviewMock.js' print("正在读取所有产业的面试题和答案...") with open(json_file, 'r', encoding='utf-8') as f: positions_data = json.load(f) # 创建产业到面试题的映射 industry_questions = {} # 产业名称映射 industry_map = { "UI设计师": "UI设计", "包装设计师": "包装设计", "插画师": "插画设计", "影视灯光": "灯光", "角色原画师": "动画设计", "场景原画师": "动画设计", "二维动画师": "动画设计", "三维动画师": "动画设计", "三维动作师": "动画设计", "分镜绘制": "动画设计", "特效设计师": "后期特效", "后期合成": "后期特效", "剪辑师": "剪辑", "剪辑助理": "剪辑", "导演助理": "剪辑", "品牌视觉内容策划": "品牌设计", "品牌设计师": "品牌设计", "标志设计师": "品牌设计", "平面设计师": "平面设计", "书籍装帧设计师": "平面设计", "广告设计师": "平面设计", "3D建模师": "三维设计", "三维模型师": "三维设计", "三维材质师": "三维设计", "三维灯光师": "三维设计", "三维绑定师": "三维设计", "三维渲染师": "三维设计", "影视摄像": "摄影/摄像", "影视摄影": "摄影/摄像", "室内设计师": "室内设计", "调色师": "调色", "自媒体运营专员": "新媒体运营", "新媒体内容策划": "新媒体运营", "社交媒体运营": "新媒体运营", "音效设计师": "音频处理", "音频编辑师": "音频处理", "配音配乐师": "音频处理", "导演": "影视节目策划", "编剧": "影视节目策划", "直播运营": "直播", "直播策划": "直播", "主持人": "直播" } # 提取每个岗位的面试题 for position in positions_data: position_name = position.get("岗位名称", "") if position_name in industry_map: industry = industry_map[position_name] # 提取面试题 interview_content = position.get("面试题内容", "") if interview_content and industry not in industry_questions: questions = [] lines = interview_content.split('\n') current_question = None current_answer = '' collecting_answer = False for line in lines: line_stripped = line.strip() # 检测问题行 if line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped: # 保存上一个问题 if current_question: answer = current_answer.strip() if len(answer) > 400: cut_point = 400 for sep in ['。', '；', '. ']: pos = answer[:400].rfind(sep) if pos > 200: cut_point = pos + 1 break answer = answer[:cut_point] questions.append({ 'question': current_question, 'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。" }) # 提取新问题 parts = line_stripped.split('问题：', 1) if len(parts) > 1: current_question = parts[1].strip() else: parts = line_stripped.split('问题:', 1) if len(parts) > 1: current_question = parts[1].strip() else: # 尝试其他格式 parts = line_stripped.split('. ', 1) if len(parts) > 1: current_question = parts[1].strip() current_answer = '' collecting_answer = False # 检测答案开始 elif any(marker in line for marker in ['参考回答：', '参考答案：', '答案：']): collecting_answer = True for marker in ['参考回答：', '参考答案：', '答案：']: if marker in line: answer_part = line.split(marker, 1)[1].strip() if answer_part: current_answer = answer_part break # 收集答案内容 elif collecting_answer and line.strip(): if (line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped) or line_stripped.startswith('#'): collecting_answer = False else: if current_answer: current_answer += ' ' current_answer += line.strip() # 保存最后一个问题 if current_question: answer = current_answer.strip() if len(answer) > 400: cut_point = 400 for sep in ['。', '；', '. ']: pos = answer[:400].rfind(sep) if pos > 200: cut_point = pos + 1 break answer = answer[:cut_point] questions.append({ 'question': current_question, 'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。" }) if questions: industry_questions[industry] = questions print(f"提取了 {industry} 的 {len(questions)} 个问题") # 读取现有文件 with open(mock_file, 'r', encoding='utf-8') as f: content = f.read() # 创建备份 backup_file = f"{mock_file}.backup_all_industries_{datetime.now().strftime('%Y%m%d_%H%M%S')}" with open(backup_file, 'w', encoding='utf-8') as f: f.write(content) print(f"\n已创建备份：{backup_file}") # 更新每个产业的questions字段 print("\n开始更新所有产业的面试题...") updated_count = 0 for industry, questions in industry_questions.items(): if industry == "UI设计": # UI设计已经更新过了 continue # 构建新的questions数组 sub_questions = [] for i, qa in enumerate(questions, 1): question_text = qa['question'].replace('"', '\\"') answer_text = qa['answer'].replace('"', '\\"').replace('\n', ' ') sub_questions.append({ "id": f"q{updated_count+2}_{i}", "question": question_text, "answer": answer_text }) # 查找产业位置 pattern = rf'"name":\s*"{re.escape(industry)}".*?"questions":\s*\[' match = re.search(pattern, content, re.DOTALL) if match: # 找到questions数组的结束位置 start_pos = match.end() bracket_count = 1 end_pos = start_pos while bracket_count > 0 and end_pos < len(content): if content[end_pos] == '[': bracket_count += 1 elif content[end_pos] == ']': bracket_count -= 1 end_pos += 1 if bracket_count == 0: # 构建新的questions内容 new_questions = [{ "id": f"group_q{updated_count+2}", "question": f"# {industry}面试题", "subQuestions": sub_questions }] # 转换为JSON字符串 questions_str = json.dumps(new_questions, ensure_ascii=False, indent=6) # 调整缩进 questions_str = '\n'.join([' ' + line if line.strip() else line for line in questions_str.split('\n')]) # 替换内容 content = content[:match.end()-1] + questions_str + content[end_pos-1:] updated_count += 1 print(f"✓ 更新了 {industry} 的 {len(sub_questions)} 个问题") else: print(f"✗ 未能正确解析 {industry} 的questions数组") else: print(f"✗ 未找到产业：{industry}") # 写入文件 if updated_count > 0: with open(mock_file, 'w', encoding='utf-8') as f: f.write(content) # 验证语法 print(f"\n验证语法...") result = os.popen(f'node -c {mock_file} 2>&1').read() if result: print(f"❌ 语法错误：{result}") # 恢复备份 with open(backup_file, 'r', encoding='utf-8') as f: content = f.read() with open(mock_file, 'w', encoding='utf-8') as f: f.write(content) print("已恢复备份") else: print("✓ 语法验证通过") print(f"\n成功更新 {updated_count} 个产业的面试题！") print("所有视觉设计产业的面试题已更新为完整版本。") else: print("\n未能更新任何产业")