116 lines
5.0 KiB
Python
116 lines
5.0 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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# 读取导师信息（通用）.json
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with open('网页未导入数据/导师信息（通用）.json', 'r', encoding='utf-8') as f:
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all_teachers = json.load(f)
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# 筛选大健康产业导师
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health_teachers = []
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for teacher in all_teachers:
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if teacher.get("就业管家") == "大健康":
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health_teachers.append(teacher)
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print(f"找到 {len(health_teachers)} 位大健康产业导师")
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# 添加更多公共课导师（从原有数据中选取适合的）
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public_teachers = [
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{
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"name": "孙应战",
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"introduction": "拥有18年制造业与产品营销经验，曾在上市公司与世界500强外企任职，参与大众MEB平台、奥迪EA888发动机及新能源汽车项目开发。作为德企内训讲师、国际演讲学会资深会员和中国心理卫生协会会员，善于将实践经验转化为通俗讲解，课堂氛围轻松易懂。",
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"specialties": ["世界500强外企背景","学习零压力", "实用可落地", "善于启发"],
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"avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuUpJCc6qecx.jpg",
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"type": "公共课导师",
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"courses": []
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},
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{
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"name": "李奇",
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"introduction": "毕业于南洋理工学院，拥有硕士学位，具备扎实的人工智能理论基础与产业实践经验。近年来，专注于大模型工程化与AI应用课程体系建设，主持完成《AIGC实战：从模型调用到产品落地》《AI在视觉设计与内容生成中的应用》等多个应用型教学项目。曾主导开发'AI技能地图导航系统'，实现课程内容与岗位技能的精准对齐，在2024年全国高校AI课程创新大赛中荣获一等奖。擅长将复杂的算法模型转化为通俗易懂的教学内容，致力于打造'人人可用AI'的实训课程体系，是众多高校与职业培训机构特聘的AI技术与课程体系顾问。",
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"specialties": ["人工智能技术顾问", "大模型工程化研究者", "AI应用课程体系建设者"],
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"avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuW8gePZvRn6.jpg",
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"type": "AI课导师",
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"courses": []
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},
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{
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"name": "魏立慧",
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"introduction": "企业资深一线HR主讲，专注于为求职者提供一对一的个性化指导。通过真实招聘视角，深入剖析个人优势与短板、传授面试技巧、规划职业定位与发展路径，帮助学生快速提升求职竞争力。求职策略以实用落地为核心，注重互动交流与角色定位，让学员在轻松氛围中获得直击痛点的求职策略。",
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"specialties": ["点评直击要害", "擅长挖掘优势", "职业规划达人", "一线HR资深讲师"],
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"avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuUpSO4gUtJz.png",
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"type": "企业资深HR",
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"courses": []
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}
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]
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# 生成teacherData格式
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teacher_data = {}
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# 添加大健康产业导师
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for teacher in health_teachers:
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name = teacher["查询导师名称"]
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# 将特长格式转换
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specialties = [s.replace("# ", "") for s in teacher.get("导师特长", [])]
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# 确定导师类型
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vertical = teacher.get("所属垂直方向", "")
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if vertical == "健康管理":
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teacher_type = "复合课导师"
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elif vertical == "药品工艺与质量保障体系":
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teacher_type = "复合课导师"
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else:
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teacher_type = "任课老师"
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teacher_data[name] = {
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"name": name,
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"introduction": teacher.get("导师介绍", ""),
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"specialties": specialties,
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"avatar": teacher.get("❌导师头像url链接", ""),
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"type": teacher_type,
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"verticalDirection": vertical,
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"courses": []
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}
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# 添加公共课导师
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for teacher in public_teachers:
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teacher_data[teacher["name"]] = teacher
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# 生成JavaScript代码
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js_code = """// 大健康产业导师信息数据
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const healthTeacherData = updateTeacherCourses({
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"""
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for name, data in teacher_data.items():
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js_code += f' "{name}": {{\n'
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js_code += f' name: "{data["name"]}",\n'
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js_code += f' introduction: "{data["introduction"]}",\n'
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# 格式化specialties数组
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specialties_str = '", "'.join(data["specialties"])
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js_code += f' specialties: ["{specialties_str}"],\n'
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js_code += f' avatar: "{data["avatar"]}",\n'
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js_code += f' type: "{data["type"]}",\n'
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if "verticalDirection" in data and data["verticalDirection"]:
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js_code += f' verticalDirection: "{data["verticalDirection"]}",\n'
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js_code += f' courses: []\n'
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js_code += f' }},\n'
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js_code += """}, allCalendarEvents);
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export { healthTeacherData };
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"""
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# 保存JavaScript文件
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with open('healthTeacherData.js', 'w', encoding='utf-8') as f:
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f.write(js_code)
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print("✅ 已生成 healthTeacherData.js 文件")
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# 输出导师名单
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print("\n导师名单：")
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for name in teacher_data.keys():
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print(f" - {name}")
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