245 lines
9.0 KiB
Python
245 lines
9.0 KiB
Python
|
#!/usr/bin/env python3
|
|||
|
|
# -*- coding: utf-8 -*-
|
|||
|
|
|
|||
|
|
import json
|
|||
|
|
import re
|
|||
|
|
from collections import defaultdict
|
|||
|
|
|
|||
|
|
def load_health_data():
|
|||
|
|
"""加载大健康数据"""
|
|||
|
|
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)
|
|||
|
|
|
|||
|
|
with open('网页未导入数据/大健康产业/大健康问答内容.json', 'r', encoding='utf-8') as f:
|
|||
|
|
qa_data = json.load(f)
|
|||
|
|
|
|||
|
|
return resume_data, qa_data
|
|||
|
|
|
|||
|
|
def map_level(level_tag):
|
|||
|
|
"""映射岗位等级"""
|
|||
|
|
level_map = {
|
|||
|
|
'基础岗': '普通岗',
|
|||
|
|
'技术骨干岗': '技术骨干岗',
|
|||
|
|
'普通岗': '普通岗'
|
|||
|
|
}
|
|||
|
|
return level_map.get(level_tag, '普通岗')
|
|||
|
|
|
|||
|
|
def parse_resume_content(content):
|
|||
|
|
"""解析简历内容，提取关键信息"""
|
|||
|
|
# 提取项目经历
|
|||
|
|
project_match = re.search(r'项目名称：(.+?)\n', content)
|
|||
|
|
project_name = project_match.group(1) if project_match else "健康管理项目"
|
|||
|
|
|
|||
|
|
# 提取岗位职责（取前3条）
|
|||
|
|
responsibilities = []
|
|||
|
|
resp_pattern = r'\d+\.\s*([^；\n]+[；。]?)'
|
|||
|
|
resp_matches = re.findall(resp_pattern, content)
|
|||
|
|
if resp_matches:
|
|||
|
|
responsibilities = [m.strip().rstrip('；。') for m in resp_matches[:3]]
|
|||
|
|
|
|||
|
|
# 提取核心能力
|
|||
|
|
core_skills = []
|
|||
|
|
if '### （一）核心能力' in content:
|
|||
|
|
core_section = content.split('### （一）核心能力')[1].split('### （二）')[0]
|
|||
|
|
skill_matches = re.findall(r'\d+\.\s*([^。\n]+。?)', core_section)
|
|||
|
|
core_skills = [s.strip().rstrip('。') for s in skill_matches[:5]]
|
|||
|
|
|
|||
|
|
# 提取个人评价
|
|||
|
|
summary = "我是一名大专毕业生，具备扎实的专业基础和实践经验。"
|
|||
|
|
if '# 三、个人评价' in content or '# 三、个人总结' in content:
|
|||
|
|
summary_section = content.split('# 三、')[1]
|
|||
|
|
summary_text = re.sub(r'\n+', ' ', summary_section).strip()
|
|||
|
|
if len(summary_text) > 50:
|
|||
|
|
summary = summary_text[:200] + "..."
|
|||
|
|
|
|||
|
|
return {
|
|||
|
|
'project_name': project_name,
|
|||
|
|
'responsibilities': responsibilities,
|
|||
|
|
'core_skills': core_skills,
|
|||
|
|
'summary': summary
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
def create_industries_structure(resume_data, qa_data):
|
|||
|
|
"""创建industries数据结构"""
|
|||
|
|
# 按岗位群分组
|
|||
|
|
groups = defaultdict(list)
|
|||
|
|
for item in resume_data:
|
|||
|
|
group_name = item['简历岗位群']
|
|||
|
|
groups[group_name].append(item)
|
|||
|
|
|
|||
|
|
industries = []
|
|||
|
|
industry_id = 1
|
|||
|
|
|
|||
|
|
for group_name, positions_data in groups.items():
|
|||
|
|
industry = {
|
|||
|
|
"id": f"health_{industry_id}",
|
|||
|
|
"name": group_name,
|
|||
|
|
"positions": [],
|
|||
|
|
"questions": []
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
position_id = 1
|
|||
|
|
for pos in positions_data:
|
|||
|
|
# 解析简历内容获取更详细的信息
|
|||
|
|
parsed_info = parse_resume_content(pos['简历内容'])
|
|||
|
|
|
|||
|
|
position = {
|
|||
|
|
"id": f"health_{industry_id}_{position_id}",
|
|||
|
|
"title": pos['岗位名称'],
|
|||
|
|
"level": map_level(pos['岗位等级标签']),
|
|||
|
|
"avatar": pos['简历头像url'],
|
|||
|
|
"department": group_name,
|
|||
|
|
"type": "全职",
|
|||
|
|
"experience": "1-3年" if pos['岗位等级标签'] == '基础岗' else "2-5年",
|
|||
|
|
"education": "大专",
|
|||
|
|
"salary": "5-10K" if pos['岗位等级标签'] == '基础岗' else "8-15K",
|
|||
|
|
"location": "北京",
|
|||
|
|
"updateTime": "2024-01-20",
|
|||
|
|
"description": f"负责{pos['岗位名称']}相关工作，包括{parsed_info['responsibilities'][0] if parsed_info['responsibilities'] else '日常工作'}",
|
|||
|
|
"requirements": parsed_info['responsibilities'][:4] if len(parsed_info['responsibilities']) >= 4 else [
|
|||
|
|
"具备相关专业知识和技能",
|
|||
|
|
"有良好的沟通能力和团队合作精神",
|
|||
|
|
"能够独立完成岗位职责",
|
|||
|
|
"有相关实习或工作经验优先"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
industry["positions"].append(position)
|
|||
|
|
position_id += 1
|
|||
|
|
|
|||
|
|
# 添加基于岗位群的问题
|
|||
|
|
questions = []
|
|||
|
|
question_id = 1
|
|||
|
|
|
|||
|
|
# 添加通用问题
|
|||
|
|
main_question = {
|
|||
|
|
"id": f"group_q{industry_id}",
|
|||
|
|
"question": f"# 一、{group_name}专业认知",
|
|||
|
|
"subQuestions": []
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 从大健康问答内容中提取相关问题
|
|||
|
|
for qa in qa_data[:3]: # 取前3个问答作为示例
|
|||
|
|
sub_q = {
|
|||
|
|
"id": f"q{industry_id}_{question_id}",
|
|||
|
|
"question": qa.get('问题_流程1', f"请介绍一下您对{group_name}的理解？"),
|
|||
|
|
"answer": qa.get('回答_流程2', f"在{group_name}领域，我通过系统学习和实践，掌握了相关专业知识和技能。")
|
|||
|
|
}
|
|||
|
|
main_question["subQuestions"].append(sub_q)
|
|||
|
|
question_id += 1
|
|||
|
|
|
|||
|
|
industry["questions"].append(main_question)
|
|||
|
|
|
|||
|
|
industries.append(industry)
|
|||
|
|
industry_id += 1
|
|||
|
|
|
|||
|
|
return industries
|
|||
|
|
|
|||
|
|
def create_resume_templates(resume_data):
|
|||
|
|
"""创建resumeTemplates数据结构"""
|
|||
|
|
templates = defaultdict(list)
|
|||
|
|
|
|||
|
|
for item in resume_data:
|
|||
|
|
group_name = item['简历岗位群']
|
|||
|
|
parsed_info = parse_resume_content(item['简历内容'])
|
|||
|
|
|
|||
|
|
template = {
|
|||
|
|
"position": item['岗位名称'],
|
|||
|
|
"level": map_level(item['岗位等级标签']),
|
|||
|
|
"avatar": item['简历头像url'],
|
|||
|
|
"content": {
|
|||
|
|
"original": item['简历内容'],
|
|||
|
|
"modified": item['简历内容'] # 使用相同内容
|
|||
|
|
},
|
|||
|
|
"studentInfo": {
|
|||
|
|
"project_experience": {
|
|||
|
|
"project_name": parsed_info['project_name'],
|
|||
|
|
"position": item['岗位名称'] + "助理",
|
|||
|
|
"time_period": "XXXXXX",
|
|||
|
|
"company": "XXXXXX",
|
|||
|
|
"description": " ；\n".join(parsed_info['responsibilities'][:10]) if parsed_info['responsibilities'] else f"参与{item['岗位名称']}相关工作"
|
|||
|
|
},
|
|||
|
|
"core_skills": parsed_info['core_skills'][:9] if parsed_info['core_skills'] else [
|
|||
|
|
f"熟悉{group_name}相关理论知识",
|
|||
|
|
"具备实践操作能力",
|
|||
|
|
"良好的沟通协调能力"
|
|||
|
|
],
|
|||
|
|
"compound_skills": [
|
|||
|
|
"医疗服务与健康管理常识：了解我国医疗体系的基本结构与服务流程",
|
|||
|
|
"患者安全意识：了解生命体征监测、基础护理技能",
|
|||
|
|
"医疗人工智能基础认知：了解AI在医疗健康领域的应用",
|
|||
|
|
"质量控制认知：了解ISO体系和质量管理基本要求",
|
|||
|
|
"药品营销能力：掌握客户需求识别和沟通技巧"
|
|||
|
|
],
|
|||
|
|
"personal_summary": parsed_info['summary']
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
templates[group_name].append(template)
|
|||
|
|
|
|||
|
|
return dict(templates)
|
|||
|
|
|
|||
|
|
def save_as_js_module(industries, resume_templates):
|
|||
|
|
"""保存为JS模块格式"""
|
|||
|
|
# 转换为JSON字符串，确保正确转义
|
|||
|
|
industries_json = json.dumps(industries, ensure_ascii=False, indent=2)
|
|||
|
|
templates_json = json.dumps(resume_templates, ensure_ascii=False, indent=2)
|
|||
|
|
|
|||
|
|
# 创建临时JS文件内容
|
|||
|
|
js_content = f'''// 简历与面试题Mock数据
|
|||
|
|
|
|||
|
|
// 岗位群列表
|
|||
|
|
const industries = {industries_json};
|
|||
|
|
|
|||
|
|
// 简历模板数据
|
|||
|
|
const resumeTemplates = {templates_json};
|
|||
|
|
|
|||
|
|
// 导出函数
|
|||
|
|
export const getMockPageData = () => {{
|
|||
|
|
return {{
|
|||
|
|
industries,
|
|||
|
|
resumeTemplates
|
|||
|
|
}};
|
|||
|
|
}};
|
|||
|
|
|
|||
|
|
export {{
|
|||
|
|
industries,
|
|||
|
|
resumeTemplates
|
|||
|
|
}};'''
|
|||
|
|
|
|||
|
|
# 保存为临时文件
|
|||
|
|
with open('temp_mock_data.js', 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(js_content)
|
|||
|
|
|
|||
|
|
print("已生成临时文件 temp_mock_data.js")
|
|||
|
|
return True
|
|||
|
|
|
|||
|
|
def main():
|
|||
|
|
print("开始转换大健康数据...")
|
|||
|
|
|
|||
|
|
# 加载数据
|
|||
|
|
resume_data, qa_data = load_health_data()
|
|||
|
|
print(f"加载了 {len(resume_data)} 个岗位简历数据")
|
|||
|
|
print(f"加载了 {len(qa_data)} 个问答数据")
|
|||
|
|
|
|||
|
|
# 创建数据结构
|
|||
|
|
industries = create_industries_structure(resume_data, qa_data)
|
|||
|
|
resume_templates = create_resume_templates(resume_data)
|
|||
|
|
|
|||
|
|
# 输出统计
|
|||
|
|
print(f"\n转换完成：")
|
|||
|
|
print(f"- {len(industries)} 个岗位群")
|
|||
|
|
print(f"- {sum(len(ind['positions']) for ind in industries)} 个岗位")
|
|||
|
|
print(f"- {sum(len(templates) for templates in resume_templates.values())} 个简历模板")
|
|||
|
|
|
|||
|
|
# 保存为JS模块
|
|||
|
|
save_as_js_module(industries, resume_templates)
|
|||
|
|
|
|||
|
|
# 输出各岗位群信息
|
|||
|
|
print("\n岗位群详情：")
|
|||
|
|
for industry in industries:
|
|||
|
|
print(f" {industry['name']}: {len(industry['positions'])} 个岗位")
|
|||
|
|
|
|||
|
|
print("\n请手动将 temp_mock_data.js 的内容合并到 resumeInterviewMock.js 中")
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
main()
|