a7242f0c69
- 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>
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import math
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# 读取原始的个人简历内容.json
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with open('/Users/apple/Documents/cursor/教务系统/frontend/网页未导入数据/个人简历内容.json', 'r', encoding='utf-8') as f:
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all_data = json.load(f)
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# 计算每个文件应该包含的数据量
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total_items = len(all_data)
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items_per_file = math.ceil(total_items / 3)
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print(f"总共有 {total_items} 个岗位数据")
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print(f"每个文件将包含约 {items_per_file} 个岗位")
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# 拆分数据
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part1 = all_data[:items_per_file]
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part2 = all_data[items_per_file:items_per_file*2]
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part3 = all_data[items_per_file*2:]
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# 保存拆分后的文件
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output_dir = '/Users/apple/Documents/cursor/教务系统/frontend/网页未导入数据/'
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# 保存第一部分
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with open(output_dir + '个人简历内容_part1.json', 'w', encoding='utf-8') as f:
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json.dump(part1, f, ensure_ascii=False, indent=2)
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print(f"Part 1: 保存了 {len(part1)} 个岗位")
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# 保存第二部分
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with open(output_dir + '个人简历内容_part2.json', 'w', encoding='utf-8') as f:
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json.dump(part2, f, ensure_ascii=False, indent=2)
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print(f"Part 2: 保存了 {len(part2)} 个岗位")
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# 保存第三部分
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with open(output_dir + '个人简历内容_part3.json', 'w', encoding='utf-8') as f:
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json.dump(part3, f, ensure_ascii=False, indent=2)
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print(f"Part 3: 保存了 {len(part3)} 个岗位")
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# 输出每部分包含的岗位名称
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print("\n=== Part 1 岗位列表 ===")
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for item in part1:
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if '❌岗位名称查询' in item:
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print(f" - {item['❌岗位名称查询']}")
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print("\n=== Part 2 岗位列表 ===")
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for item in part2:
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if '❌岗位名称查询' in item:
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print(f" - {item['❌岗位名称查询']}")
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print("\n=== Part 3 岗位列表 ===")
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for item in part3:
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if '❌岗位名称查询' in item:
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print(f" - {item['❌岗位名称查询']}")
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print("\n拆分完成！已生成3个文件：")
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print(" - 个人简历内容_part1.json")
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print(" - 个人简历内容_part2.json")
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print(" - 个人简历内容_part3.json") |