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>
136 lines
5.0 KiB
Python
136 lines
5.0 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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def get_position_levels_from_resume():
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"""从化工岗位简历.json获取岗位等级映射"""
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with open('网页未导入数据/化工产业/化工岗位简历.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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position_levels = {}
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for item in data:
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position = item.get('岗位名称', '').strip()
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level = item.get('岗位等级标签', '').strip()
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if position and level:
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position_levels[position] = level
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return position_levels
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def extract_positions_from_mock():
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"""从mock文件中提取项目详情中的岗位信息"""
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with open('src/mocks/projectLibraryMock.js', 'r', encoding='utf-8') as f:
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lines = f.readlines()
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projects_positions = {}
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current_project = None
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in_positions = False
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current_positions = []
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for i, line in enumerate(lines):
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# 查找项目ID
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if '"id":' in line and 'const project' not in lines[max(0, i-5):i+1]:
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match = re.search(r'"id":\s*(\d+)', line)
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if match:
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# 如果有之前的项目数据,保存它
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if current_project and current_positions:
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projects_positions[current_project] = current_positions
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current_project = int(match.group(1))
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current_positions = []
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in_positions = False
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# 查找positions数组开始
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if '"positions":' in line and '[' in line:
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in_positions = True
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# 在positions数组中查找岗位
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if in_positions:
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# 查找level
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level_match = re.search(r'"level":\s*"([^"]*)"', line)
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if level_match:
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level = level_match.group(1)
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# 查找下一行的position
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if i + 1 < len(lines):
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next_line = lines[i + 1]
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pos_match = re.search(r'"position":\s*"([^"]*)"', next_line)
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if pos_match:
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position = pos_match.group(1)
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current_positions.append({
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'level': level,
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'position': position
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})
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# 检查positions数组结束
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if ']' in line:
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in_positions = False
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# 保存最后一个项目
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if current_project and current_positions:
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projects_positions[current_project] = current_positions
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return projects_positions
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def compare_and_report():
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"""比较并报告差异"""
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# 获取数据
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resume_levels = get_position_levels_from_resume()
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mock_positions = extract_positions_from_mock()
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print("=" * 60)
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print("岗位等级对比报告")
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print("=" * 60)
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print(f"\n从简历数据中读取到 {len(resume_levels)} 个岗位等级")
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print(f"从Mock文件中读取到 {len(mock_positions)} 个项目的岗位数据\n")
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# 统计信息
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total_positions = 0
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mismatches = []
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not_found = []
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correct_matches = []
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# 检查每个项目的岗位
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for project_id in sorted(mock_positions.keys()):
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positions = mock_positions[project_id]
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if positions:
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print(f"\n【项目 {project_id}】({len(positions)}个岗位)")
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for pos_info in positions:
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current_level = pos_info['level']
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position_name = pos_info['position']
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total_positions += 1
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if position_name in resume_levels:
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correct_level = resume_levels[position_name]
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if current_level != correct_level:
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print(f" ❌ {position_name}: 当前[{current_level}] → 应为[{correct_level}]")
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mismatches.append({
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'project': project_id,
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'position': position_name,
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'current': current_level,
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'correct': correct_level
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})
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else:
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print(f" ✅ {position_name}: {current_level}")
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correct_matches.append(position_name)
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else:
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print(f" ⚠️ {position_name}: 在简历数据中未找到 (当前: {current_level})")
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not_found.append({
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'project': project_id,
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'position': position_name,
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'current': current_level
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})
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# 汇总报告
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print("\n" + "=" * 60)
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print("汇总统计")
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print("=" * 60)
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print(f"总岗位数: {total_positions}")
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print(f"等级正确: {len(correct_matches)} 个 ({len(correct_matches)*100/max(1,total_positions):.1f}%)")
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print(f"等级错误: {len(mismatches)} 个 ({len(mismatches)*100/max(1,total_positions):.1f}%)")
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print(f"未找到岗位: {len(not_found)} 个 ({len(not_found)*100/max(1,total_positions):.1f}%)")
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return mismatches, not_found
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if __name__ == "__main__":
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mismatches, not_found = compare_and_report() |