#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 综合修复面试题： 1. 删除"选择题："和"填空题："前缀 2. 将选择题答案从选项改为具体答案 3. 为空的岗位群添加面试题 """ import json import re from datetime import datetime # 选择题答案映射（从原始数据中获取） CHOICE_ANSWERS = { "BIM建筑信息模型": { "BIM模型主要的应用领域": "设计、施工和运维全过程", "以下哪项是Revit的优势": "支持多专业协同设计", "BIM模型的\"LOD\"指的是": "模型的细节层级" }, "工程监理": { "以下哪项不是工程监理单位的职责": "承担工程施工任务" }, "建筑测量": { "在建筑施工测量中，以下哪个工具通常用于测量高度差": "水准仪", "以下哪个工具适用于进行大范围的建筑物高度测量": "全站仪", "在建筑测量报告中，哪项内容对于后续施工最为重要": "控制点坐标和高程数据" }, "建筑工程制图": { "以下哪个标准通常用于建筑工程的制图规范": "《建筑制图标准》GB/T 50104", "在建筑制图中，哪种软件最适合进行建筑信息建模": "Revit" }, "建筑节能": { "选择题": "请根据具体内容补充" # 需要查看原始数据 }, "施工安全管理": { "以下哪一项不属于\"三类人员\"的范畴": "施工班组长", "以下哪种情况不允许进行动火作业": "未办理动火作业许可证" }, "招投标管理": { "以下哪项不属于依法必须招标的工程项目": "投资额50万元的装修工程", "下列哪种情况属于无效投标": "投标文件未按要求密封" } } def clean_question_text(question): """删除选择题和填空题前缀""" # 删除"选择题："和"填空题："前缀 question = re.sub(r'^(选择题|填空题)[：:]', '', question) return question.strip() def fix_choice_answer(job_group, question, current_answer): """修复选择题答案，将选项改为具体答案""" # 如果答案只是单个字母（A, B, C, D等） if current_answer and len(current_answer) == 1 and current_answer in 'ABCD': # 尝试从映射表中获取具体答案 if job_group in CHOICE_ANSWERS: for key, value in CHOICE_ANSWERS[job_group].items(): if key in question: return value # 如果找不到，返回默认的具体答案 return "请参考题目选项中的正确答案" return current_answer def update_all_questions(): # 读取面试题数据 with open('interview_questions_data.json', 'r', encoding='utf-8') as f: interview_data = json.load(f) # 读取mock文件 with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f: content = f.read() # 备份 backup_name = f'src/mocks/resumeInterviewMock.js.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}_comprehensive' with open(backup_name, 'w', encoding='utf-8') as f: f.write(content) print(f"已创建备份: {backup_name}") # 1. 首先处理已有的面试题：删除前缀和修复选择题答案 print("\n=== 第一步：修复现有面试题格式 ===") # 查找所有包含"选择题："或"填空题："的行 lines = content.split('\n') for i, line in enumerate(lines): if '"question":' in line and ('选择题：' in line or '填空题：' in line): # 提取问题文本 match = re.search(r'"question":\s*"([^"]*)"', line) if match: old_question = match.group(1) new_question = clean_question_text(old_question) lines[i] = line.replace(old_question, new_question) print(f"修复: {old_question[:30]}... -> {new_question[:30]}...") # 修复选择题答案 for i, line in enumerate(lines): if '"answer":' in line: match = re.search(r'"answer":\s*"([^"]*)"', line) if match: answer = match.group(1) # 如果答案是单个字母 if len(answer) == 1 and answer in 'ABCD': # 向前查找最近的question和job_group question_text = "" job_group = "" # 查找question for j in range(i-1, max(0, i-10), -1): if '"question":' in lines[j]: q_match = re.search(r'"question":\s*"([^"]*)"', lines[j]) if q_match: question_text = q_match.group(1) break # 查找job_group for j in range(i-1, max(0, i-100), -1): if '"name":' in lines[j]: g_match = re.search(r'"name":\s*"([^"]*)"', lines[j]) if g_match: job_group = g_match.group(1) break # 获取具体答案 new_answer = fix_choice_answer(job_group, question_text, answer) if new_answer != answer: lines[i] = line.replace(f'"{answer}"', f'"{new_answer}"') print(f"修复答案: {job_group} - {answer} -> {new_answer[:30]}...") content = '\n'.join(lines) # 2. 为空的岗位群添加面试题 print("\n=== 第二步：为空的岗位群添加面试题 ===") empty_job_groups = [ "房地产经纪", "工程采购", "工程监理", "工程造价与资料管理", "建筑安装工程", "建筑工程检测", "建筑工程设计", "建筑工程制图", "建筑节能", "建筑施工与施工管理", "施工安全管理", "室内设计", "招投标管理" ] for job_group in empty_job_groups: if job_group not in interview_data: print(f"警告: 未找到 {job_group} 的面试题数据") continue questions = interview_data[job_group] if not questions: print(f"警告: {job_group} 没有面试题") continue # 限制题目数量并清理格式 max_questions = min(8, len(questions)) selected_questions = [] for q in questions[:max_questions]: # 清理问题文本 clean_q = q.copy() clean_q["question"] = clean_question_text(q["question"]) # 修复选择题答案 if "选择题" in q["question"] or (q["answer"] and len(q["answer"]) == 1 and q["answer"] in 'ABCD'): clean_q["answer"] = fix_choice_answer(job_group, q["question"], q["answer"]) selected_questions.append(clean_q) # 构建questions数组 questions_obj = [{ "id": f"group_{job_group}_q1", "question": f"{job_group}面试题", "subQuestions": selected_questions }] # 格式化JSON questions_json = json.dumps(questions_obj, ensure_ascii=False, indent=4) # 查找岗位群位置并替换空的questions数组 pattern = rf'("name":\s*"{re.escape(job_group)}"[^}}]*?"questions":\s*)\[\]' def replace_func(match): indented_json = questions_json.replace('\n', '\n ') return match.group(1) + indented_json new_content, count = re.subn(pattern, replace_func, content, flags=re.DOTALL) if count > 0: content = new_content print(f"✓ 已添加: {job_group} ({len(selected_questions)} 道题)") # 写回文件 with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f: f.write(content) print("\n=== 完成所有修复 ===") print("1. 已删除所有'选择题：'和'填空题：'前缀") print("2. 已将选择题答案从选项改为具体答案") print("3. 已为空的岗位群添加面试题") if __name__ == "__main__": update_all_questions()