87 lines
3.4 KiB
Python
87 lines
3.4 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 fix_position_levels_final():
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"""
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最终修复项目详情数据中的岗位等级标签
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"""
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# 读取能源岗位简历数据，建立岗位名称到等级的映射
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with open("网页未导入数据/能源产业/能源岗位简历.json", 'r', encoding='utf-8') as f:
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resume_data = json.load(f)
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# 建立岗位名称到等级的映射字典
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position_level_mapping = {}
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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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position_level = item.get("岗位等级标签", "技术骨干岗")
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if position_name:
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position_level_mapping[position_name] = position_level
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print("🔍 岗位等级映射表构建完成")
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print(f" 技术骨干岗: {len([p for p, l in position_level_mapping.items() if l == '技术骨干岗'])}个")
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print(f" 储备干部岗: {len([p for p, l in position_level_mapping.items() if l == '储备干部岗'])}个")
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print(f" 普通岗: {len([p for p, l in position_level_mapping.items() if l == '普通岗'])}个")
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# 读取当前的Mock数据
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with open("src/mocks/projectLibraryMock.js", 'r', encoding='utf-8') as f:
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content = f.read()
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# 定义替换函数，支持多行匹配
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def replace_level(match):
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spaces1 = match.group(1)
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current_level = match.group(2)
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spaces2 = match.group(3)
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position_name = match.group(4)
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spaces3 = match.group(5)
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# 查找正确的等级
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correct_level = position_level_mapping.get(position_name, current_level)
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# 如果等级不同，则替换
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if correct_level != current_level:
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print(f" 📝 更新 {position_name}: {current_level} → {correct_level}")
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return f'{spaces1}"level": "{correct_level}",{spaces2}"position": "{position_name}"{spaces3}'
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# 使用正则表达式替换所有的level字段，支持多行和空格
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pattern = r'(\s*)"level":\s*"([^"]*)",(\s*)"position":\s*"([^"]*)"\s*(\s*)'
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updated_content = re.sub(pattern, replace_level, content)
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# 写入更新后的内容
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with open("src/mocks/projectLibraryMock.js", 'w', encoding='utf-8') as f:
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f.write(updated_content)
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# 统计修复结果
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updated_matches = re.findall(r'"level":\s*"([^"]*)".*?"position":\s*"([^"]*)"', updated_content)
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level_stats = {}
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change_count = 0
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for level, position in updated_matches:
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if level not in level_stats:
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level_stats[level] = []
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level_stats[level].append(position)
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# 检查是否有变化
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original_level = "技术骨干岗" # 原来都是这个等级
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correct_level = position_level_mapping.get(position, "技术骨干岗")
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if original_level != correct_level:
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change_count += 1
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print(f"\n✅ 修复完成！共检查 {len(updated_matches)} 个岗位，其中 {change_count} 个等级标签需要更新")
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print("\n更新后的等级标签统计：")
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for level in ["技术骨干岗", "储备干部岗", "普通岗"]:
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if level in level_stats:
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positions = level_stats[level]
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print(f" {level}: {len(positions)}个岗位")
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for pos in positions[:3]:
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print(f" - {pos}")
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if len(positions) > 3:
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print(f" ... 还有{len(positions)-3}个岗位")
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print()
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if __name__ == "__main__":
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fix_position_levels_final()
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