保誠-保戶業務員媒合平台
wayne
2022-02-17 4394e4248455637ab7836756058ac872fdf4af10
pamapi/src/main/java/com/pollex/pam/service/ConsultantService.java
@@ -30,15 +30,16 @@
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.math.BigDecimal;
import java.time.Instant;
import java.util.Comparator;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import static com.pollex.pam.consts.SeniorityQueryConst.*;
import static com.pollex.pam.enums.ContactStatusEnum.*;
@Service
@@ -159,8 +160,60 @@
    public List<ConsultantDTO> strictQueryConsultant(StrictQueryConsultantParam param) {
        return consultantRepository.findAll(ConsultantQuerySpec.getStrictQuerySpec(param))
            .stream()
            .map(consultantMapper::toDto)
            .map(consultant -> {
                int suitabilityScore = getStrictQuerySuitabilityScore(param, consultant);
                ConsultantDTO dto = consultantMapper.toDto(consultant);
                dto.setSuitability(suitabilityScore);
                return dto;
            })
            .collect(Collectors.toList());
    }
    private int getStrictQuerySuitabilityScore(StrictQueryConsultantParam param, Consultant consultant) {
        Float queryAvgScore = param.getAvgScore();
        String querySeniority = param.getSeniority();
        List<String> queryRequirements = param.getRequirements();
        int score = 0;
        if(isConsultantGreaterThanScore(queryAvgScore, consultant.getAvgScore())) {
            score += 30;
        }
        if(isConsultantInSeniority(querySeniority, consultant.getSeniorityYear())) {
            score += 20;
        }
        if(isAllRequirementsIncludeConsultant(queryRequirements, consultant.getExpertise())) {
            score += 50;
        }
        return score;
    }
    private boolean isAllRequirementsIncludeConsultant(List<String> queryRequirements, String consultantExpertise) {
        return queryRequirements
            .stream()
            .allMatch(queryRequirement -> consultantExpertise.matches(".*"+queryRequirement+".*"));
    }
    private boolean isConsultantInSeniority(String querySeniority, Long consultantSeniorityYear) {
        switch (querySeniority == null ? "" : querySeniority) {
            case YOUNG:
                return consultantSeniorityYear < 5;
            case SENIOR:
                return consultantSeniorityYear > 5;
            case UNLIMITED:
            case "":
                return true;
            default:
                return false;
        }
    }
    private boolean isConsultantGreaterThanScore(Float queryAvgScore, Float consultantAvgScore) {
        return Objects.isNull(queryAvgScore) || queryAvgScore < consultantAvgScore;
    }
    public List<ConsultantDTO> fastQueryConsultant(FastQueryConsultantParam param) {
@@ -306,17 +359,18 @@
    }
   public void setConsultantAvgScore(Satisfaction satisfaction) {
      float avgScore = getAgentAvgScore(satisfaction.getAgentNo());
      Consultant consultant = consultantRepository.findOneByAgentNo(satisfaction.getAgentNo())
            .get();
      consultant.setAvgScore(avgScore);
      consultantRepository.save(consultant);
      Optional<Float> avgScore = getAgentAvgScore(satisfaction.getAgentNo());
        if(avgScore.isPresent()) {
            BigDecimal bigDecimal = BigDecimal.valueOf(avgScore.get());
            Consultant consultant = consultantRepository.findOneByAgentNo(satisfaction.getAgentNo()).get();
            consultant.setAvgScore(bigDecimal.setScale(1, BigDecimal.ROUND_HALF_UP).floatValue());
            consultantRepository.save(consultant);
        }
   }
   public float getAgentAvgScore(String agentNo) {
      Float avgScore = satisfactionRepository.getAgentScoreAvg(agentNo);
      if(avgScore==null)return 0;
      BigDecimal bigDecimal = new BigDecimal(avgScore);
      return avgScore = bigDecimal.setScale(1,BigDecimal.ROUND_HALF_UP).floatValue();
   public Optional<Float> getAgentAvgScore(String agentNo) {
      return satisfactionRepository.getAgentScoreAvg(agentNo);
   }
}