38350dca36
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>
175 lines
6.0 KiB
Python
175 lines
6.0 KiB
Python
#!/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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from datetime import datetime
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def load_visual_design_data():
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"""加载视觉设计岗位简历数据"""
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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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return json.load(f)
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def extract_questions(content):
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"""从面试题内容中提取前5个问题和答案"""
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questions = []
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# 提取所有问题
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pattern = r'(\d+)\.\s*问题[：:]?\s*(.*?)(?:\n\s*)?(?:参考回答[：:]?)(.*?)(?=\d+\.\s*问题|$)'
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matches = re.findall(pattern, content, re.DOTALL)
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for i, match in enumerate(matches[:5], 1): # 只取前5个问题
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q_num = match[0]
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question_text = match[1].strip()
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answer_text = match[2].strip()
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questions.append({
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"id": f"q1_{i}",
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"question": question_text,
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"answer": answer_text
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})
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return questions
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def update_industry_questions_directly(industry_name, position_name, visual_data):
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"""直接更新指定岗位群的面试题"""
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# 查找对应的面试题内容
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interview_content = None
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for item in visual_data:
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if item.get('岗位名称') == position_name and item.get('面试题内容'):
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interview_content = item.get('面试题内容')
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break
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if not interview_content:
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return None, f"未找到{position_name}的面试题"
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# 提取问题
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questions = extract_questions(interview_content)
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if not questions:
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return None, f"未能提取{position_name}的面试题"
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# 创建带有subQuestions的结构
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result = {
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"id": "group_q1",
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"question": f"# {industry_name}面试题",
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"subQuestions": questions
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}
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return result, None
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def main():
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print("=== 最终替换面试题数据 ===\n")
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# 创建备份
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timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_name = f'src/mocks/resumeInterviewMock.js.backup_{timestamp}_final'
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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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with open(backup_name, 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"✓ 已创建备份: {backup_name}\n")
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# 加载视觉设计数据
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visual_data = load_visual_design_data()
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# 岗位映射
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industry_map = {
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'UI设计': 'UI设计师',
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'包装设计': '包装设计师',
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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': '动画师',
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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': 'CG总监助理',
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'摄影/摄像': '摄影师',
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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': '新媒体运营专员',
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'音频处理': '录音师',
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'影视节目策划': '文案策划',
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'直播': '直播专员'
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}
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updated_count = 0
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for industry_name, position_name in industry_map.items():
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print(f"处理 {industry_name}...")
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# 获取新的questions数据
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new_questions, error = update_industry_questions_directly(industry_name, position_name, visual_data)
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if error:
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print(f" ⚠️ {error}")
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continue
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# 将新的questions转换为JSON字符串
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questions_json = json.dumps([new_questions], ensure_ascii=False, indent=2)
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# 调整缩进（每行加4个空格）
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lines = questions_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)
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else:
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adjusted_lines.append('')
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questions_json = '\n'.join(adjusted_lines).strip()
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# 使用更简单的替换方法
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# 找到industry name，然后替换其后的整个questions数组
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pattern = rf'("name":\s*"{re.escape(industry_name)}".*?"questions":\s*)\[[\s\S]*?\](?=\s*\}})'
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replacement = rf'\1{questions_json}'
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new_mock_content = re.sub(pattern, replacement, mock_content, count=1, flags=re.MULTILINE)
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if new_mock_content != mock_content:
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mock_content = new_mock_content
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updated_count += 1
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print(f" ✓ 成功更新 (使用岗位: {position_name}, 共{len(new_questions['subQuestions'])}个问题)")
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else:
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print(f" ✗ 未能更新")
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# 保存文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"\n✅ 更新完成！成功更新{updated_count}个岗位群")
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# 验证语法
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import subprocess
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try:
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result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ 文件语法验证通过")
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# 验证一个具体的更新结果
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if updated_count > 0:
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print("\n验证UI设计的第一个问题：")
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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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# 查找UI设计的第一个问题
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match = re.search(r'"name":\s*"UI设计".*?"q1_1".*?"question":\s*"([^"]+)"', content, re.DOTALL)
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if match:
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print(f" 问题: {match.group(1)[:50]}...")
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else:
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print(f"❌ 语法错误:\n{result.stderr}")
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print("\n恢复备份...")
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with open(backup_name, 'r', encoding='utf-8') as f:
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backup_content = f.read()
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(backup_content)
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print("已恢复备份")
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except Exception as e:
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print(f"⚠️ 无法验证语法: {str(e)}")
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if __name__ == '__main__':
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main() |