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