更新12个教务系统并优化项目大小
主要更新： - 更新所有12个产业的教务系统数据和功能 - 删除所有 node_modules 文件夹（节省3.7GB） - 删除所有 .yoyo 缓存文件夹（节省1.2GB） - 删除所有 dist 构建文件（节省55MB） 项目优化： - 项目大小从 8.1GB 减少到 3.2GB（节省60%空间） - 保留完整的源代码和配置文件 - .gitignore 已配置，防止再次提交大文件 启动脚本： - start-industry.sh/bat/ps1 脚本会自动检测并安装依赖 - 首次启动时自动运行 npm install - 支持单个或批量启动产业系统 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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KQL
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frontend_智能制造/update_interview_questions.py
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frontend_智能制造/update_interview_questions.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import re
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# 读取智能制造岗位简历数据
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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:
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smart_mfg_data = json.load(f)
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# 创建面试题映射字典
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interview_questions_map = {}
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for item in smart_mfg_data:
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job_group = item.get('简历岗位群', '')
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interview_content = item.get('面试题内容', '')
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if job_group and interview_content:
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# 存储完整的面试题内容
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interview_questions_map[job_group] = interview_content
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# 打印找到的岗位群
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print("找到的岗位群面试题:")
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for key in interview_questions_map.keys():
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print(f"- {key}")
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# 读取当前的mock文件
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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mock_content = f.read()
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# 备份原文件
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import datetime
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backup_time = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
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with open(f'src/mocks/resumeInterviewMock.js.backup_{backup_time}', 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"\n已创建备份文件: src/mocks/resumeInterviewMock.js.backup_{backup_time}")
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# 需要更新的岗位群映射
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job_group_mapping = {
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'PLC': 'PLC类岗位面试题',
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'工业机器人': '工业机器人类岗位面试题',
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'焊接工艺': '焊接工艺类岗位面试题',
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'电气设计': '电气设计类岗位面试题',
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'机器视觉': '机器视觉类岗位面试题',
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'非标自动化设计': '非标自动化类岗位面试题'
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}
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# 解析面试题内容为结构化数据
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def parse_interview_content(content):
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"""解析面试题内容为结构化数据"""
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questions = []
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lines = content.split('\n')
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current_section = None
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current_question = None
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current_answer = []
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for line in lines:
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line = line.strip()
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if not line:
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continue
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# 检查是否是大标题（如 # 一、xxx）
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if line.startswith('# '):
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# 保存之前的问题
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if current_question and current_section:
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answer_text = '\\n'.join(current_answer).strip()
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if not answer_text.startswith('示例答案') and not answer_text.startswith('答案'):
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answer_text = answer_text
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else:
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# 去掉"示例答案："或"答案："前缀
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answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text)
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current_section['subQuestions'].append({
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'question': current_question,
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'answer': answer_text
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})
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# 创建新section
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if current_section:
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questions.append(current_section)
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section_title = line.replace('#', '').strip()
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current_section = {
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'title': section_title,
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'subQuestions': []
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}
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current_question = None
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current_answer = []
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# 检查是否是问题编号（如 1. xxx）
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elif re.match(r'^\d+\.\s+', line):
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# 保存之前的问题
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if current_question and current_section:
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answer_text = '\\n'.join(current_answer).strip()
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if answer_text.startswith('示例答案') or answer_text.startswith('答案'):
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answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text)
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current_section['subQuestions'].append({
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'question': current_question,
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'answer': answer_text
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})
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# 提取新问题
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current_question = re.sub(r'^\d+\.\s+', '', line)
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current_answer = []
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# 否则是答案内容
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else:
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if current_question:
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current_answer.append(line)
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# 保存最后一个问题
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if current_question and current_section:
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answer_text = '\\n'.join(current_answer).strip()
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if answer_text.startswith('示例答案') or answer_text.startswith('答案'):
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answer_text = re.sub(r'^(示例答案[：:]|答案[：:])\s*', '', answer_text)
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current_section['subQuestions'].append({
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'question': current_question,
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'answer': answer_text
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})
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# 保存最后一个section
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if current_section:
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questions.append(current_section)
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return questions
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# 更新mock文件中的面试题
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def update_mock_questions(mock_content, job_group_name, interview_content):
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"""更新指定岗位群的面试题"""
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# 解析面试题内容
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parsed_questions = parse_interview_content(interview_content)
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if not parsed_questions:
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print(f" 警告: 无法解析 {job_group_name} 的面试题内容")
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return mock_content
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# 查找岗位群的位置
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pattern = rf'"name":\s*"{re.escape(job_group_name)}"'
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matches = list(re.finditer(pattern, mock_content))
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if not matches:
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print(f" 未找到岗位群: {job_group_name}")
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return mock_content
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for match in matches:
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# 找到questions数组的起始位置
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start_pos = match.end()
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questions_pattern = r'"questions":\s*\['
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questions_match = re.search(questions_pattern, mock_content[start_pos:start_pos+5000])
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if not questions_match:
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continue
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questions_start = start_pos + questions_match.end()
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# 找到questions数组的结束位置
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bracket_count = 1
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i = questions_start
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in_string = False
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escape_next = False
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while i < len(mock_content) and bracket_count > 0:
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char = mock_content[i]
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if escape_next:
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escape_next = False
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elif char == '\\':
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escape_next = True
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elif char == '"' and not escape_next:
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in_string = not in_string
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elif not in_string:
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if char == '[':
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bracket_count += 1
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elif char == ']':
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bracket_count -= 1
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i += 1
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if bracket_count == 0:
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questions_end = i - 1
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# 构建新的questions数组
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new_questions = []
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for idx, section in enumerate(parsed_questions):
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sub_questions = []
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for q_idx, q in enumerate(section['subQuestions']):
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answer = q['answer'].replace('"', '\\"').replace('\n', '\\n')
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sub_questions.append(f'''{{
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"id": "q{idx}_{q_idx+1}",
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"question": "{q['question']}",
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"answer": "{answer}"
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}}''')
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new_questions.append(f'''{{
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"id": "group_q{idx+1}",
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"question": "{section['title']}",
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"subQuestions": [
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{','.join(sub_questions)}
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]
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}}''')
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# 替换原有的questions内容
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new_questions_str = ',\n '.join(new_questions)
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mock_content = mock_content[:questions_start] + '\n ' + new_questions_str + '\n ' + mock_content[questions_end:]
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print(f" ✓ 已更新 {job_group_name} 的面试题")
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break
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return mock_content
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# 执行更新
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print("\n开始更新面试题:")
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updated_content = mock_content
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for mock_group_name, json_interview_name in job_group_mapping.items():
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print(f"\n处理 {mock_group_name}:")
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# 查找对应的面试题内容
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found = False
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for item in smart_mfg_data:
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if item.get('面试题', '') == json_interview_name:
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interview_content = item.get('面试题内容', '')
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if interview_content:
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updated_content = update_mock_questions(updated_content, mock_group_name, interview_content)
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found = True
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break
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if not found:
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print(f" 未找到 {json_interview_name} 的面试题数据")
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# 保存更新后的文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(updated_content)
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print("\n✅ 面试题更新完成！")
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print("已更新的岗位群:")
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for group in job_group_mapping.keys():
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print(f" - {group}")
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