python_分配工作给技术支持的逻辑
complexity="简单"max_load=5scored_candidates_list=[{"姓名":"李四","技能专长匹配度分值":95,"行业相关性分值":60,"经验分值":1,"工作负荷分值":4},{"姓名":"钱七","技能专长匹配度分值":85,"行业相关性分值":55,"经验分值":4,"工作负荷分值":1},{"姓名":"王五","技能专长匹配度分值":60,"行业相关性分值":60,"经验分值":2,"工作负荷分值":4}]importjsondefmain(complexity,max_load,scored_candidates_list):try:max_load=int(max_load)# candidates = json.loads(scored_candidates_list)candidates=scored_candidates_listdefget_weights(complexity_level):ifcomplexity_level=="复杂":return{"skill":0.4,"proficiency":0.4,"exp":0.15,"load":0.05}elifcomplexity_level=="简单":return{"skill":0.2,"proficiency":0.2,"exp":0.0,"load":0.6}else:return{"skill":0.35,"proficiency":0.25,"exp":0.1,"load":0.3}weights_dict=get_weights(complexity)results=[]forcandidateincandidates:score=0.0score+=candidate["技能专长匹配度分值"]*weights_dict["skill"]score+=candidate["行业相关性分值"]*weights_dict["proficiency"]score+=candidate["经验分值"]*20*weights_dict["exp"]load_ratio=candidate["工作负荷分值"]/max_load penalty=load_ratio*100score-=penalty*weights_dict["load"]results.append((candidate['姓名'],round(score,2),candidate["工作负荷分值"]))sorted_results=sorted(results,key=lambdax:x[1],reverse=True)result_text="🔍 候选人评分:\n"fortech,score,loadinsorted_results[:3]:result_text+=f" -{tech}:{score}分 (负载:{load})\n"best_tech=sorted_results[0][0]result_text=result_text+f"✅ 派单成功! -> 指派给: 【{best_tech}】"returnresult_textexceptExceptionase:raiseException(f"工单派单处理失败:{str(e)}")aa=main(complexity,max_load,scored_candidates_list)print(aa)
