153 lines
5.5 KiB
Python
153 lines
5.5 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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from datetime import datetime
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# 读取岗位等级数据
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def load_job_levels():
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with open('网页未导入数据/文旅产业/岗位等级.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 创建岗位名称到等级的映射
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job_levels_map = {}
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for item in data:
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job_name = item['❌岗位名称']
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level = item['前端查询名称']
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job_levels_map[job_name] = level
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return job_levels_map
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# 读取项目案例适用岗位映射
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def load_project_positions_mapping():
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with open('网页未导入数据/文旅产业/项目案例适用岗位.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 创建项目名称到岗位列表的映射
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mapping = {}
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for item in data:
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project_name = item['案例名称']
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positions = item['岗位名称_文旅']
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mapping[project_name] = positions
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return mapping
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# 定义等级排序
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LEVEL_ORDER = {
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'普通岗': 1,
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'技术骨干岗': 2,
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'储备干部岗': 3
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}
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# 生成适用岗位数组字符串
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def generate_positions_array(positions, job_levels_map):
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# 创建岗位对象列表
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position_objects = []
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for position in positions:
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if position in job_levels_map:
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level = job_levels_map[position]
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position_objects.append({
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'level': level,
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'position': position,
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'order': LEVEL_ORDER.get(level, 999)
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})
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else:
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print(f" 警告: 未找到岗位 '{position}' 的等级信息")
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# 按等级排序
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position_objects.sort(key=lambda x: x['order'])
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# 生成字符串
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positions_str = ', '.join([
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f"{{ level: '{p['level']}', position: '{p['position']}' }}"
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for p in position_objects
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])
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return f"[{positions_str}]"
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# 更新projectLibraryMock.js文件
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def update_project_library_mock(project_mapping, job_levels_map):
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file_path = 'src/mocks/projectLibraryMock.js'
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# 备份文件
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backup_path = f'{file_path}.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}_remapped'
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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with open(backup_path, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"已备份: {backup_path}")
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# 项目名称映射（因为代码中的名称可能略有不同）
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name_variations = {
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'id: 1': '舟山某民宿180天提升入住率项目',
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'id: 2': '希尔顿欢朋酒店经营管理与服务一体化优化项目',
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'id: 3': '长安汽车新款车型线下推广活动',
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'id: 4': '春风 450MT新品上市营销活动策划项目',
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'id: 5': '敦煌文创品牌策划与IP运营',
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'id: 6': '"长安幻夜"文创IP运营与品牌建设项目',
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'id: 7': '2024年深圳国际家具展策划项目',
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'id: 8': '2024 合肥国际 3C 电子产业博览会策划项目',
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'id: 9': '盐城第九届 ICGC 动漫嘉年华漫展策划项目',
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'id: 10': '某地森林湿地自然景区多平台新媒体运营方案',
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'id: 11': '漓江畔水墨居度假酒店新媒体直播运营方案',
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'id: 12': '某自驾游平台SEO/SEM全流程优化项目',
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'id: 13': '环渤海经济圈城市足球冠军赛策划与执行项目',
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'id: 14': '某歌手2025公益演唱会策划与执行项目',
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'id: 15': '贵州黔东南非遗文化探索之旅线路设计项目',
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'id: 16': '某宠物生活馆经营改善项目',
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'id: 17': '"水墨苏乡"文化创意产品设计与量产落地项目',
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'id: 18': '谷子店开店与经营管理',
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'id: 19': '轻奢露营市集玩乐活动运营项目',
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'id: 20': '中国科学院武汉植物园生态科普与文旅运营项目'
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}
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updated_count = 0
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# 对每个项目进行处理
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for id_pattern, project_name in name_variations.items():
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if project_name in project_mapping:
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positions = project_mapping[project_name]
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new_positions_str = generate_positions_array(positions, job_levels_map)
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# 查找并替换该项目的applicablePositions
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# 使用更精确的正则表达式来定位特定项目
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pattern = rf'({id_pattern}.*?applicablePositions:\s*)\[[^\]]*\]'
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def replace_func(match):
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nonlocal updated_count
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updated_count += 1
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print(f"\n更新项目 {project_name}:")
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print(f" 新岗位: {positions}")
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return match.group(1) + new_positions_str
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content = re.sub(pattern, replace_func, content, flags=re.DOTALL)
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# 写回文件
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"\nprojectLibraryMock.js 更新完成，共更新了 {updated_count} 个项目")
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# 主函数
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def main():
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print("=" * 50)
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print("根据项目案例适用岗位.json重新匹配适用岗位")
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print("=" * 50)
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# 加载数据
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job_levels_map = load_job_levels()
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print(f"已加载 {len(job_levels_map)} 个岗位等级映射")
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project_mapping = load_project_positions_mapping()
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print(f"已加载 {len(project_mapping)} 个项目岗位映射\n")
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# 更新文件
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update_project_library_mock(project_mapping, job_levels_map)
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print("\n" + "=" * 50)
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print("所有更新完成！")
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print("=" * 50)
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if __name__ == "__main__":
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main()
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