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>
139 lines
4.5 KiB
Python
139 lines
4.5 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_first_5_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
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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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"num": 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 main():
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print("=== 简单更新面试题内容 ===\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}_simple'
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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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position_map = {
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"UI设计师": "UI设计",
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"包装设计师": "包装设计",
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"插画师": "插画设计",
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"影视灯光": "灯光",
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"动画师": "动画设计",
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"平面设计师": "平面设计",
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"品牌视觉内容策划": "品牌设计",
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"CG总监助理": "三维设计",
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"特效设计师": "后期特效",
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"剪辑师": "剪辑",
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"调色师": "调色",
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"录音师": "音频处理",
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"直播专员": "直播",
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"新媒体运营专员": "新媒体运营",
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"文案策划": "影视节目策划",
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"室内设计师": "室内设计"
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}
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updated_count = 0
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# 对每个岗位进行更新
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for item in visual_data:
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position_name = item.get('岗位名称')
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interview_content = item.get('面试题内容')
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if not position_name or not interview_content:
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continue
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if position_name not in position_map:
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continue
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industry_name = position_map[position_name]
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questions = extract_first_5_questions(interview_content)
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if not questions:
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continue
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print(f"处理 {industry_name} ({position_name}):")
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# 逐个替换前5个问题的内容
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for q in questions:
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q_id = f"q1_{q['num']}"
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# 转义特殊字符
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question_escaped = q['question'].replace('\\', '\\\\').replace('"', '\\"')
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answer_escaped = q['answer'].replace('\\', '\\\\').replace('"', '\\"')
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# 查找并替换该问题
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pattern = rf'("id":\s*"{q_id}".*?"question":\s*)"[^"]*"(.*?"answer":\s*)"[^"]*"'
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replacement = rf'\1"{question_escaped}"\2"{answer_escaped}"'
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new_content = re.sub(pattern, replacement, mock_content, count=1, flags=re.DOTALL)
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if new_content != mock_content:
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mock_content = new_content
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print(f" ✓ 更新问题 {q_id}")
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else:
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print(f" ✗ 未能更新问题 {q_id}")
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updated_count += 1
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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！处理了{updated_count}个岗位")
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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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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() |