138 lines
5.7 KiB
Python
138 lines
5.7 KiB
Python
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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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def verify_position_levels():
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"""验证项目库数据中的岗位等级是否与大健康岗位简历数据一致"""
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# 1. 读取岗位等级映射
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position_level_map = {}
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with open('网页未导入数据/大健康产业/大健康岗位简历.json', 'r', encoding='utf-8') as f:
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resume_data = json.load(f)
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for item in resume_data:
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position_name = item.get('岗位名称', '')
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level = item.get('岗位等级标签', '')
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if position_name and level:
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position_level_map[position_name] = level
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# 2. 读取生成的projectLibraryMock.js文件
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with open('src/mocks/projectLibraryMock.js', 'r', encoding='utf-8') as f:
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mock_content = f.read()
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# 3. 提取项目详情数据
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# 查找getMockProjectDetail函数中的projects数组
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# 使用更宽松的正则表达式
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pattern = r'getMockProjectDetail[^{]*\{[^}]*const projects = (\[[^\]]+\]);'
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projects_match = re.search(pattern, mock_content, re.DOTALL)
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if not projects_match:
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# 尝试另一种模式
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pattern = r'const projects = (\[\s*\{[\s\S]*?\}\s*\]);'
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projects_match = re.search(pattern, mock_content)
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if projects_match:
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projects_json = projects_match.group(1)
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# 清理JavaScript格式为JSON格式
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# 移除可能的尾随逗号
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projects_json = re.sub(r',(\s*[}\]])', r'\1', projects_json)
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try:
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projects_data = json.loads(projects_json)
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except json.JSONDecodeError:
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# 如果JSON解析失败，尝试使用eval（不推荐但有效）
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# 先创建一个安全的执行环境
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safe_dict = {"true": True, "false": False, "null": None}
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try:
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projects_data = eval(projects_json, {"__builtins__": {}}, safe_dict)
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except:
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print("无法解析项目数据，尝试直接从文件提取...")
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# 直接查找所有applicablePositions
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positions_pattern = r'"applicablePositions":\s*\[(.*?)\]'
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all_positions = re.findall(positions_pattern, mock_content, re.DOTALL)
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print("=" * 60)
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print("项目库岗位等级验证报告")
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print("=" * 60)
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error_count = 0
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correct_count = 0
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for positions_str in all_positions:
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# 提取每个岗位
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pos_items = re.findall(r'\{\s*"level":\s*"([^"]+)",\s*"position":\s*"([^"]+)"\s*\}', positions_str)
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for level_in_project, position in pos_items:
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expected_level = position_level_map.get(position, '未找到')
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if expected_level == '未找到':
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print(f" ⚠️ {position}: 在简历数据中未找到")
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error_count += 1
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elif level_in_project != expected_level:
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print(f" ❌ {position}: {level_in_project} → 应为 {expected_level}")
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error_count += 1
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else:
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print(f" ✅ {position}: {level_in_project}")
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correct_count += 1
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print("\n" + "=" * 60)
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print("验证结果汇总：")
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print(f"✅ 正确: {correct_count} 个岗位")
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print(f"❌ 错误: {error_count} 个岗位")
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if error_count == 0 and correct_count > 0:
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print("\n🎉 所有岗位等级都正确！")
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elif error_count > 0:
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print("\n⚠️ 发现岗位等级不一致，请检查！")
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else:
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print("\n⚠️ 未找到任何岗位数据！")
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return error_count == 0
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print("=" * 60)
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print("项目库岗位等级验证报告")
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print("=" * 60)
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error_count = 0
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correct_count = 0
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for project in projects_data:
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if 'applicablePositions' in project:
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print(f"\n项目: {project.get('name', 'Unknown')}")
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print("-" * 40)
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for pos_item in project['applicablePositions']:
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position = pos_item['position']
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level_in_project = pos_item['level']
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expected_level = position_level_map.get(position, '未找到')
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if expected_level == '未找到':
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print(f" ⚠️ {position}: 在简历数据中未找到")
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error_count += 1
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elif level_in_project != expected_level:
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print(f" ❌ {position}: {level_in_project} → 应为 {expected_level}")
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error_count += 1
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else:
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print(f" ✅ {position}: {level_in_project}")
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correct_count += 1
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print("\n" + "=" * 60)
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print("验证结果汇总：")
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print(f"✅ 正确: {correct_count} 个岗位")
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print(f"❌ 错误: {error_count} 个岗位")
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if error_count == 0 and correct_count > 0:
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print("\n🎉 所有岗位等级都正确！")
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else:
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print("\n⚠️ 发现岗位等级不一致，请检查！")
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return error_count == 0
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else:
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print("无法在文件中找到项目数据")
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return False
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if __name__ == "__main__":
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verify_position_levels()
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