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online_sys/frontend_大健康/verify_position_levels_v2.py
KQL a7242f0c69 Initial commit: 教务系统在线平台
- 包含4个产业方向的前端项目:智能开发、智能制造、大健康、财经商贸
- 已清理node_modules、.yoyo等大文件,项目大小从2.6GB优化至631MB
- 配置完善的.gitignore文件

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-12 18:16:55 +08:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import re
def verify_position_levels():
"""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"""
# 1. 读取岗位等级映射
position_level_map = {}
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:
resume_data = json.load(f)
for item in resume_data:
position_name = item.get('岗位名称', '')
level = item.get('岗位等级标签', '')
if position_name and level:
position_level_map[position_name] = level
# 2. 读取生成的projectLibraryMock.js文件
with open('src/mocks/projectLibraryMock.js', 'r', encoding='utf-8') as f:
mock_content = f.read()
# 3. 提取项目详情数据
# 查找getMockProjectDetail函数中的projects数组
# 使用更宽松的正则表达式
pattern = r'getMockProjectDetail[^{]*\{[^}]*const projects = (\[[^\]]+\]);'
projects_match = re.search(pattern, mock_content, re.DOTALL)
if not projects_match:
# 尝试另一种模式
pattern = r'const projects = (\[\s*\{[\s\S]*?\}\s*\]);'
projects_match = re.search(pattern, mock_content)
if projects_match:
projects_json = projects_match.group(1)
# 清理JavaScript格式为JSON格式
# 移除可能的尾随逗号
projects_json = re.sub(r',(\s*[}\]])', r'\1', projects_json)
try:
projects_data = json.loads(projects_json)
except json.JSONDecodeError:
# 如果JSON解析失败尝试使用eval不推荐但有效
# 先创建一个安全的执行环境
safe_dict = {"true": True, "false": False, "null": None}
try:
projects_data = eval(projects_json, {"__builtins__": {}}, safe_dict)
except:
print("无法解析项目数据,尝试直接从文件提取...")
# 直接查找所有applicablePositions
positions_pattern = r'"applicablePositions":\s*\[(.*?)\]'
all_positions = re.findall(positions_pattern, mock_content, re.DOTALL)
print("=" * 60)
print("项目库岗位等级验证报告")
print("=" * 60)
error_count = 0
correct_count = 0
for positions_str in all_positions:
# 提取每个岗位
pos_items = re.findall(r'\{\s*"level":\s*"([^"]+)",\s*"position":\s*"([^"]+)"\s*\}', positions_str)
for level_in_project, position in pos_items:
expected_level = position_level_map.get(position, '未找到')
if expected_level == '未找到':
print(f" ⚠️ {position}: 在简历数据中未找到")
error_count += 1
elif level_in_project != expected_level:
print(f"{position}: {level_in_project} → 应为 {expected_level}")
error_count += 1
else:
print(f"{position}: {level_in_project}")
correct_count += 1
print("\n" + "=" * 60)
print("验证结果汇总:")
print(f"✅ 正确: {correct_count} 个岗位")
print(f"❌ 错误: {error_count} 个岗位")
if error_count == 0 and correct_count > 0:
print("\n🎉 所有岗位等级都正确!")
elif error_count > 0:
print("\n⚠️ 发现岗位等级不一致,请检查!")
else:
print("\n⚠️ 未找到任何岗位数据!")
return error_count == 0
print("=" * 60)
print("项目库岗位等级验证报告")
print("=" * 60)
error_count = 0
correct_count = 0
for project in projects_data:
if 'applicablePositions' in project:
print(f"\n项目: {project.get('name', 'Unknown')}")
print("-" * 40)
for pos_item in project['applicablePositions']:
position = pos_item['position']
level_in_project = pos_item['level']
expected_level = position_level_map.get(position, '未找到')
if expected_level == '未找到':
print(f" ⚠️ {position}: 在简历数据中未找到")
error_count += 1
elif level_in_project != expected_level:
print(f"{position}: {level_in_project} → 应为 {expected_level}")
error_count += 1
else:
print(f"{position}: {level_in_project}")
correct_count += 1
print("\n" + "=" * 60)
print("验证结果汇总:")
print(f"✅ 正确: {correct_count} 个岗位")
print(f"❌ 错误: {error_count} 个岗位")
if error_count == 0 and correct_count > 0:
print("\n🎉 所有岗位等级都正确!")
else:
print("\n⚠️ 发现岗位等级不一致,请检查!")
return error_count == 0
else:
print("无法在文件中找到项目数据")
return False
if __name__ == "__main__":
verify_position_levels()