初始化12个产业教务系统项目
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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KQL
293
frontend_视觉设计/update_all_industries_fixed.py
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293
frontend_视觉设计/update_all_industries_fixed.py
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#!/usr/bin/env python3
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import json
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import os
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from datetime import datetime
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# 产业名称到岗位名称的映射
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industry_to_position = {
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"插画设计": "插画师",
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"灯光": "影视灯光",
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"动画设计": "角色原画师",
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"后期特效": "特效设计师",
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"剪辑": "剪辑师",
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"品牌设计": "品牌视觉内容策划",
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"平面设计": "平面设计师",
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"三维设计": "3D建模师",
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"摄影/摄像": "影视摄像",
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"室内设计": "室内设计师",
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"调色": "调色师",
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"新媒体运营": "自媒体运营专员",
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"音频处理": "音效设计师",
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"影视节目策划": "导演",
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"直播": "直播运营"
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}
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def extract_questions(interview_content):
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"""提取面试题和答案"""
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questions = []
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lines = interview_content.split('\n')
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current_question = None
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current_answer = ''
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collecting_answer = False
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for line in lines:
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line_stripped = line.strip()
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# 检测问题行
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if line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped:
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# 保存上一个问题
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if current_question:
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answer = current_answer.strip()
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# 限制答案长度
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point] + "..."
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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# 提取新问题
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parts = line_stripped.split('问题：', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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parts = line_stripped.split('问题:', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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current_question = line_stripped
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current_answer = ''
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collecting_answer = False
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# 检测答案开始
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elif any(marker in line for marker in ['参考回答：', '参考答案：', '答案：']):
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collecting_answer = True
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for marker in ['参考回答：', '参考答案：', '答案：']:
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if marker in line:
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answer_part = line.split(marker, 1)[1].strip()
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if answer_part:
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current_answer = answer_part
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break
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# 收集答案内容
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elif collecting_answer and line.strip():
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if (line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped) or line_stripped.startswith('#'):
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collecting_answer = False
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else:
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if current_answer:
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current_answer += ' '
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current_answer += line.strip()
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# 保存最后一个问题
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if current_question:
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answer = current_answer.strip()
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point] + "..."
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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return questions[:16] # 最多16个问题
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def update_industry(industry_name, position_name):
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"""更新单个产业的面试题"""
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# 读取源数据
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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:
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positions_data = json.load(f)
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# 找到对应岗位
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position_data = None
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for position in positions_data:
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if position.get("岗位名称") == position_name:
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position_data = position
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break
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if not position_data:
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print(f" ✗ 未找到岗位：{position_name}")
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return False
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interview_content = position_data.get("面试题内容", "")
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if not interview_content:
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print(f" ✗ {position_name} 没有面试题内容")
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return False
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# 提取面试题
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questions = extract_questions(interview_content)
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if not questions:
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print(f" ✗ {position_name} 没有有效的面试题")
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return False
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print(f" 找到 {len(questions)} 个面试题")
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# 读取mock文件
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mock_file = 'src/mocks/resumeInterviewMock.js'
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with open(mock_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# 查找产业位置 - questions在positions数组的第一个元素里
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search_start = f'"name": "{industry_name}"'
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start_pos = content.find(search_start)
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if start_pos == -1:
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print(f" ✗ 未找到产业：{industry_name}")
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return False
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# 找到positions数组
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positions_pos = content.find('"positions":', start_pos)
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if positions_pos == -1 or positions_pos > start_pos + 200:
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print(f" ✗ 未找到positions字段")
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return False
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# 找到第一个position对象中的questions
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first_position = content.find('{', positions_pos + 12) # 跳过"positions": [
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if first_position == -1:
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print(f" ✗ 未找到position对象")
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return False
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# 找到questions数组
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questions_pos = content.find('"questions":', first_position)
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if questions_pos == -1:
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# 检查下一个产业之前是否有questions
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next_industry = content.find('"name":', start_pos + 10)
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if next_industry == -1:
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next_industry = len(content)
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if questions_pos == -1 or questions_pos > next_industry:
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print(f" ✗ 未找到questions字段")
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return False
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# 找到questions数组的开始和结束
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array_start = content.find('[', questions_pos)
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if array_start == -1:
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print(f" ✗ 未找到questions数组")
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return False
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# 找到对应的结束括号
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bracket_count = 0
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in_string = False
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escape_next = False
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array_end = array_start
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for i in range(array_start, len(content)):
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char = content[i]
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if escape_next:
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escape_next = False
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continue
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if char == '\\':
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escape_next = True
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continue
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if char == '"' and not in_string:
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in_string = True
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elif char == '"' and in_string:
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in_string = False
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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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if bracket_count == 0:
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array_end = i
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break
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# 构建新的questions数组
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sub_questions = []
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for idx, qa in enumerate(questions, 1):
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sub_question = {
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"id": f"q{idx}",
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"question": qa['question'].replace('"', '\\"'),
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"answer": qa['answer'].replace('"', '\\"')
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}
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sub_questions.append(sub_question)
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# 创建新的questions结构
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new_questions = [{
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"id": "group_q1",
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"question": f"# {industry_name}面试题",
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"subQuestions": sub_questions
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}]
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# 生成JSON字符串，使用适当的缩进
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new_json = json.dumps(new_questions, ensure_ascii=False, indent=10)
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# 调整缩进以匹配文件格式
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lines = new_json.split('\n')
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adjusted_lines = []
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for line in lines:
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if line.strip():
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adjusted_lines.append(' ' + line) # 添加适当的缩进
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new_json = '\n'.join(adjusted_lines).strip()
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# 替换内容
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new_content = content[:array_start] + new_json + content[array_end+1:]
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# 写入文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(new_content)
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# 验证语法
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result = os.popen(f'node -c {mock_file} 2>&1').read()
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if result:
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print(f" ❌ 语法错误，恢复原内容")
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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return False
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print(f" ✓ 成功更新")
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return True
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# 主程序
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print("开始批量更新剩余产业的面试题...\n")
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# 创建总备份
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mock_file = 'src/mocks/resumeInterviewMock.js'
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backup_file = f"{mock_file}.backup_all_fixed_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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with open(mock_file, 'r', encoding='utf-8') as f:
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original_content = f.read()
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(original_content)
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print(f"已创建总备份：{backup_file}\n")
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success_count = 0
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failed = []
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for industry_name, position_name in industry_to_position.items():
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print(f"正在更新 {industry_name} ({position_name})...")
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if update_industry(industry_name, position_name):
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success_count += 1
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else:
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failed.append(industry_name)
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print()
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# 最终验证
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print("最终语法验证...")
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result = os.popen(f'node -c {mock_file} 2>&1').read()
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if result:
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print(f"❌ 最终验证失败，恢复备份")
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with open(backup_file, 'r', encoding='utf-8') as f:
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content = f.read()
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print("已恢复备份")
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else:
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print("✓ 所有更新验证通过")
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print(f"\n总结：成功更新 {success_count} 个产业")
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if failed:
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print(f"失败：{', '.join(failed)}")
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