jianjun
5 years ago
10 changed files with 428 additions and 1 deletions
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package com.epmet.dto.screen.form; |
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import lombok.Data; |
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import java.io.Serializable; |
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/** |
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* desc:初始化客户指标权重参数实体类 |
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* @author liujianjun |
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*/ |
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@Data |
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public class IndexCalculateForm implements Serializable { |
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private static final long serialVersionUID = 3280392511156378209L; |
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/** |
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* desc:客户id |
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*/ |
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private String customerId; |
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/** |
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* desc:月份id |
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*/ |
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private String monthId; |
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} |
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package com.epmet.controller; |
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import com.epmet.commons.extappauth.annotation.ExternalAppRequestAuth; |
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import com.epmet.commons.extappauth.bean.ExternalAppRequestParam; |
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import com.epmet.commons.tools.utils.Result; |
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import com.epmet.dto.screen.form.IndexCalculateForm; |
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import com.epmet.service.screen.IndexCalculateService; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.web.bind.annotation.PostMapping; |
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import org.springframework.web.bind.annotation.RequestBody; |
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import org.springframework.web.bind.annotation.RequestMapping; |
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import org.springframework.web.bind.annotation.RestController; |
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/** |
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* 指标计算controller |
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* |
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* @author liujianjun@elink-cn.com |
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* @date 2020/8/24 14:38 |
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*/ |
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@RestController |
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@RequestMapping("indexcalculate") |
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public class IndexCalculateController { |
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@Autowired |
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private IndexCalculateService indexCalculateService; |
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/** |
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* 1、党建能力-党员相关指标计算(按照月份) |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**/ |
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@ExternalAppRequestAuth |
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@PostMapping("cpc") |
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public Result cpcIndexCalculate(ExternalAppRequestParam externalAppRequestParam, @RequestBody IndexCalculateForm formDTO) { |
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indexCalculateService.cpcIndexCalculate(formDTO); |
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return new Result(); |
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} |
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/* *//** |
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* 2、党建能力-网格相关指标上报(按照月份) |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("gridpartyability") |
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public Result gridPartyAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<GridPartyAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertGridPartyAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 3、党建能力-街道及社区相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("orgpartyability") |
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public Result orgPartyAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<OrgPartyAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertOrgPartyAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 4、服务能力-网格相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("gridserviceability") |
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public Result gridServiceAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<GridServiceAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertGridServiceAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 5、服务能力-组织（街道|社区|全区）相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("orgserviceability") |
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public Result orgServiceAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<OrgServiceAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertOrgServiceAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 6、治理能力-网格相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("gridgovrnability") |
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public Result gridGovrnAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<GridGovrnAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertGridGovrnAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 7、治理能力-街道及社区相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("orggovrnability") |
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public Result orgGovrnAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<OrgGovrnAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertOrgGovrnAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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} |
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*//**
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* 8、治理能力-部门相关指标 |
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* |
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* @param externalAppRequestParam |
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* @param formDTO |
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* @return com.epmet.commons.tools.utils.Result |
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* @Author zhangyong |
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* @Date 10:52 2020-08-20 |
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**//*
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@ExternalAppRequestAuth |
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@PostMapping("deptgovrnability") |
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public Result deptGovrnAbility(ExternalAppRequestParam externalAppRequestParam, @RequestBody List<DeptGovrnAbilityFormDTO> formDTO) { |
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factIndexCollectService.insertDeptGovrnAbility(formDTO, externalAppRequestParam.getCustomerId()); |
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return new Result(); |
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}*/ |
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} |
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package com.epmet.service.screen; |
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import com.epmet.dto.screen.form.IndexCalculateForm; |
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/** |
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* 指标计算service |
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* |
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* @author liujianjun@elink-cn.com |
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* @date 2020/8/18 10:25 |
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*/ |
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public interface IndexCalculateService { |
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/** |
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* desc：计算党员相关指标 |
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* @param formDTO |
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*/ |
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void cpcIndexCalculate(IndexCalculateForm formDTO); |
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} |
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@ -0,0 +1,14 @@ |
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package com.epmet.service.screen.impl; |
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import com.epmet.dto.screen.form.IndexCalculateForm; |
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import com.epmet.service.screen.IndexCalculateService; |
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/** |
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* @author liujianjun |
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*/ |
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public class IndexCalculateServiceImpl implements IndexCalculateService { |
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@Override |
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public void cpcIndexCalculate(IndexCalculateForm formDTO) { |
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} |
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} |
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package com.epmet.support.normalizing; |
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/** |
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* 指标正负相关枚举 |
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*/ |
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public enum Correlation { |
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POSITIVE("positive","正相关"), |
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NEGATIVE("negative","负相关"), |
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; |
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private String code; |
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private String desc; |
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Correlation(String code,String desc){ |
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this.code = code; |
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this.desc = desc; |
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} |
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} |
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package com.epmet.support.normalizing; |
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import java.math.BigDecimal; |
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/** |
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* Double的分值计算 |
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* 每一种数据类型的计算都要继承ScoreCalculator并且实现其抽象方法，实现数据类型的转换 |
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*/ |
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public class DoubleScoreCalculator extends ScoreCalculator { |
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/** |
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* 初始化double类型分值计算 |
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* ☆☆☆ 务必在该构造方法最后调用父类的prepare()方法 ☆☆☆ |
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* @param sourceArray 数据所在的数组 |
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* @param minScore 分值区间的左边界 |
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* @param maxScore 分值区间的右边界 |
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* @param correlation 相关性 |
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*/ |
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public DoubleScoreCalculator(Double[] sourceArray, BigDecimal minScore, BigDecimal maxScore, Correlation correlation) { |
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this.sourceArrary = sourceArray; |
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this.minScore = minScore; |
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this.maxScore = maxScore; |
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this.correlation = correlation; |
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this.prepare(); |
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} |
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@Override |
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public BigDecimal getMaxFromSourceArray() { |
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Double[] doubleSourceArrary = (Double[]) this.sourceArrary; |
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return new BigDecimal(doubleSourceArrary[doubleSourceArrary.length - 1]); |
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} |
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@Override |
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public BigDecimal getMinFromSourceArray() { |
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Double[] intSourceArrary = (Double[]) this.sourceArrary; |
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return new BigDecimal(intSourceArrary[0]); |
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} |
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@Override |
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public BigDecimal convertValue2BigDecimal(Object sourceValue) { |
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return new BigDecimal((Double) sourceValue); |
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} |
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} |
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package com.epmet.support.normalizing; |
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import java.math.BigDecimal; |
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/** |
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* Integer的分值计算 |
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* 每一种数据类型的计算都要继承ScoreCalculator并且实现其抽象方法，实现数据类型的转换 |
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*/ |
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public class IntegerScoreCalculator extends ScoreCalculator { |
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/** |
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* 初始化整数分值计算 |
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* ☆☆☆ 务必在该构造方法最后调用父类的prepare()方法 ☆☆☆ |
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* @param sourceArray 数据所在的数组 |
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* @param minScore 分值区间的左边界 |
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* @param maxScore 分值区间的右边界 |
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* @param correlation 相关性 |
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*/ |
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public IntegerScoreCalculator(Integer[] sourceArray, BigDecimal minScore, BigDecimal maxScore, Correlation correlation) { |
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this.sourceArrary = sourceArray; |
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this.minScore = minScore; |
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this.maxScore = maxScore; |
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this.correlation = correlation; |
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this.prepare(); |
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System.out.println("最小值："+minScore+"；最大值："+maxScore); |
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} |
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@Override |
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public BigDecimal getMaxFromSourceArray() { |
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Integer[] intSourceArrary = (Integer[]) this.sourceArrary; |
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return new BigDecimal(intSourceArrary[intSourceArrary.length - 1]); |
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} |
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@Override |
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public BigDecimal getMinFromSourceArray() { |
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Integer[] intSourceArrary = (Integer[]) this.sourceArrary; |
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return new BigDecimal(intSourceArrary[0]); |
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} |
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@Override |
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public BigDecimal convertValue2BigDecimal(Object sourceValue) { |
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return new BigDecimal((Integer) sourceValue); |
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} |
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} |
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package com.epmet.support.normalizing; |
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import java.math.BigDecimal; |
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import java.math.MathContext; |
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import java.util.Arrays; |
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/** |
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* 所有数据类型计算器的父类，实现算法骨架，数据类型转换方法则由子类实现 |
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* @param <T> 数据类型泛型 |
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*/ |
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public abstract class ScoreCalculator<T> { |
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protected T[] sourceArrary; |
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protected BigDecimal minScore; |
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protected BigDecimal maxScore; |
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protected Correlation correlation; |
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private BigDecimal maxValue; |
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private BigDecimal minValue; |
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private BigDecimal coefficient; |
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/** |
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* 计算准备 |
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*/ |
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protected void prepare() { |
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// 校验数组
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if (!validSourceArray(sourceArrary)) { |
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throw new RuntimeException("入参数组错误:请设置非空数组"); |
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} |
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Arrays.sort(sourceArrary); |
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maxValue = getMaxFromSourceArray(); |
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minValue = getMinFromSourceArray(); |
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//计算系数
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System.out.println("最小值："+minScore+"；最大值："+maxScore); |
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coefficient = getCoefficient(minValue, maxValue); |
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} |
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/** |
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* 归一算法 |
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* @return |
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*/ |
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public BigDecimal normalize(T sourceValue) { |
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if (sourceValue == null) { |
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throw new RuntimeException("入参数组错误:请设置sourceValue"); |
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} |
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if (!Arrays.asList(sourceArrary).contains(sourceValue)) { |
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throw new RuntimeException("请确认要计算的数组在数组中存在"); |
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} |
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if (correlation == Correlation.POSITIVE) { |
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// 正相关
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BigDecimal x = coefficient.multiply(convertValue2BigDecimal(sourceValue).subtract(minValue)); |
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BigDecimal score = minScore.add(x, MathContext.DECIMAL32); |
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return score; |
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} else if (correlation == Correlation.NEGATIVE) { |
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// 负相关
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BigDecimal x = coefficient.multiply(convertValue2BigDecimal(sourceValue).subtract(minValue)); |
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BigDecimal score = minScore.add(x); |
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return maxScore.subtract(score, MathContext.DECIMAL32); |
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} else { |
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throw new RuntimeException("错误的相关性"); |
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} |
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} |
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/** |
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* 校验数组 |
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* @param sourceArray |
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* @param <T> |
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* @return |
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*/ |
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protected <T> boolean validSourceArray(T[] sourceArray) { |
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if (sourceArray == null || sourceArray.length == 0) { |
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return false; |
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} |
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return true; |
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} |
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/** |
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* 计算系数 |
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* @return |
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*/ |
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protected BigDecimal getCoefficient(BigDecimal min, BigDecimal max) { |
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BigDecimal fenmu = max.subtract(min); |
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if (fenmu.toString().equals("0"))return new BigDecimal(0); |
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BigDecimal fenzi = maxScore.subtract(minScore); |
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BigDecimal divide = fenzi.divide(fenmu, MathContext.DECIMAL32); |
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System.out.println("分子："+fenzi+"分母："+fenmu+"系数："+divide.toString()); |
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return divide; |
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} |
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/** |
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* 从源数组中获取最大值 |
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* @return |
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*/ |
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protected abstract BigDecimal getMaxFromSourceArray(); |
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/** |
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* 从源数组中获取最小值 |
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* @return |
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*/ |
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protected abstract BigDecimal getMinFromSourceArray(); |
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/** |
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* 将值转化为BigDecimal |
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* @param sourceValue |
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* @return |
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*/ |
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protected abstract BigDecimal convertValue2BigDecimal(T sourceValue); |
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} |
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