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!909 feat: [CRM-客户分析]增加[时间间隔]选项

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Merge pull request !909 from dhb52/develop
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芋道源码 2024-03-28 11:13:18 +00:00 committed by Gitee
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7 changed files with 411 additions and 330 deletions
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48
yudao-framework/yudao-common/src/main/java/cn/iocoder/yudao/framework/common/enums/DateIntervalEnum.java Normal file
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@ -0,0 +1,48 @@
package cn.iocoder.yudao.framework.common.enums;
import cn.iocoder.yudao.framework.common.core.IntArrayValuable;
import lombok.AllArgsConstructor;
import lombok.Getter;
import java.util.Arrays;
/**
* 时间间隔类型枚举
*
* @author dhb52
*/
@Getter
@AllArgsConstructor
public enum DateIntervalEnum implements IntArrayValuable {
TODAY(1, "今天"),
YESTERDAY(2, "昨天"),
THIS_WEEK(3, "本周"),
LAST_WEEK(4, "上周"),
THIS_MONTH(5, "本月"),
LAST_MONTH(6, "上月"),
THIS_QUARTER(7, "本季度"),
LAST_QUARTER(8, "上季度"),
THIS_YEAR(9, "本年"),
LAST_YEAR(10, "去年"),
CUSTOMER(11, "自定义"),
;
public static final int[] ARRAYS = Arrays.stream(values()).mapToInt(DateIntervalEnum::getType).toArray();
/**
* 类型
*/
private final Integer type;
/**
* 名称
*/
private final String name;
@Override
public int[] array() {
return ARRAYS;
}
}

3
yudao-module-crm/yudao-module-crm-api/src/main/java/cn/iocoder/yudao/module/crm/enums/ErrorCodeConstants.java
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@ -103,4 +103,7 @@ public interface ErrorCodeConstants {
ErrorCode FOLLOW_UP_RECORD_NOT_EXISTS = new ErrorCode(1_020_013_000, "跟进记录不存在"); ErrorCode FOLLOW_UP_RECORD_NOT_EXISTS = new ErrorCode(1_020_013_000, "跟进记录不存在");
ErrorCode FOLLOW_UP_RECORD_DELETE_DENIED = new ErrorCode(1_020_013_001, "删除跟进记录失败，原因：没有权限"); ErrorCode FOLLOW_UP_RECORD_DELETE_DENIED = new ErrorCode(1_020_013_001, "删除跟进记录失败，原因：没有权限");
// ========== 数据统计 1_020_014_000 ==========
ErrorCode STATISTICS_CUSTOMER_TIMES_NOT_SET = new ErrorCode(1_020_014_000, "自定义时间间隔，必须输入时间区间");
} }

22
yudao-module-crm/yudao-module-crm-biz/src/main/java/cn/iocoder/yudao/module/crm/controller/admin/statistics/CrmStatisticsCustomerController.http
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@ -1,40 +1,40 @@
# == 1. 客户总量分析 == # == 1. 客户总量分析 ==
### 1.1 客户总量分析(按日) ### 1.1 客户总量分析(按日)
GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-date?deptId=100&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-date?deptId=100&intervalType=11&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 1.2 客户总量分析(按月) ### 1.2 客户总量分析(按月)
GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-date?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-date?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 1.3 客户总量统计(按用户) ### 1.3 客户总量统计(按用户)
GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-user?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-summary-by-user?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
# == 2. 客户跟进次数分析 == # == 2. 客户跟进次数分析 ==
### 2.1 客户跟进次数分析(按日) ### 2.1 客户跟进次数分析(按日)
GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-date?deptId=100&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-date?deptId=100&intervalType=11&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 2.2 客户跟进次数分析(按月) ### 2.2 客户跟进次数分析(按月)
GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-date?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-date?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 2.3 客户总量统计(按用户) ### 2.3 客户总量统计(按用户)
GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-user?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-user?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
# == 3. 客户跟进方式分析 == # == 3. 客户跟进方式分析 ==
### 3.1 客户跟进方式分析 ### 3.1 客户跟进方式分析
GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-type?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-followup-summary-by-type?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
@ -42,7 +42,7 @@ tenant-id: {{adminTenentId}}
# == 4. 客户成交周期 == # == 4. 客户成交周期 ==
### 4.1 合同摘要信息(客户转化率页面) ### 4.1 合同摘要信息(客户转化率页面)
GET {{baseUrl}}/crm/statistics-customer/get-contract-summary?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-contract-summary?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
@ -50,19 +50,19 @@ tenant-id: {{adminTenentId}}
# == 5. 客户成交周期 == # == 5. 客户成交周期 ==
### 5.1 客户成交周期(按日) ### 5.1 客户成交周期(按日)
GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-date?deptId=100&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-date?deptId=100&intervalType=11&times[0]=2024-01-01 00:00:00&times[1]=2024-01-29 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 5.2 客户成交周期(按月) ### 5.2 客户成交周期(按月)
GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-date?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-date?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
### 5.3 获取客户成交周期(按用户) ### 5.3 获取客户成交周期(按用户)
GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-user?deptId=100&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59 GET {{baseUrl}}/crm/statistics-customer/get-customer-deal-cycle-by-user?deptId=100&intervalType=11&times[0]=2023-01-01 00:00:00&times[1]=2024-12-12 23:59:59
Authorization: Bearer {{token}} Authorization: Bearer {{token}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}
tenant-id: {{adminTenentId}} tenant-id: {{adminTenentId}}

27
yudao-module-crm/yudao-module-crm-biz/src/main/java/cn/iocoder/yudao/module/crm/controller/admin/statistics/vo/customer/CrmStatisticsCustomerReqVO.java
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@ -1,8 +1,8 @@
package cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer; package cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer;
import cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum; import cn.iocoder.yudao.framework.common.enums.DateIntervalEnum;
import cn.iocoder.yudao.framework.common.validation.InEnum;
import io.swagger.v3.oas.annotations.media.Schema; import io.swagger.v3.oas.annotations.media.Schema;
import jakarta.validation.constraints.NotEmpty;
import jakarta.validation.constraints.NotNull; import jakarta.validation.constraints.NotNull;
import lombok.Data; import lombok.Data;
import org.springframework.format.annotation.DateTimeFormat; import org.springframework.format.annotation.DateTimeFormat;
@ -28,31 +28,28 @@ public class CrmStatisticsCustomerReqVO {
/** /**
* userIds 目前不用前端传递，目前是方便后端通过 deptId 读取编号后，设置回来 * userIds 目前不用前端传递，目前是方便后端通过 deptId 读取编号后，设置回来
* <p>
* 后续，可能会支持选择部分用户进行查询 * 后续，可能会支持选择部分用户进行查询
*/ */
@Schema(description = "负责人用户 id 集合", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "2") @Schema(description = "负责人用户 id 集合", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "2")
private List<Long> userIds; private List<Long> userIds;
@Schema(description = "时间范围", requiredMode = Schema.RequiredMode.REQUIRED) @Schema(description = "时间间隔类型", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
@InEnum(value = DateIntervalEnum.class, message = "时间间隔类型，必须是 {value}")
private Integer intervalType;
/**
* 前端如果选择自定义时间, 那么前端传递起始-终止时间, 如果选择其他时间间隔类型, 则由后台计算起始-终止时间
* 并作为参数传递给Mapper
*/
@Schema(description = "时间范围", requiredMode = Schema.RequiredMode.NOT_REQUIRED)
@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND) @DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
@NotEmpty(message = "时间范围不能为空")
private LocalDateTime[] times; private LocalDateTime[] times;
// TODO @dhb52：这个时间间隔，建议前端传递；例如说：字段叫 interval，枚举有天、周、月、季度、年。因为一般分析类的系统，都是交给用户选择筛选时间间隔，而我们这里是默认根据日期选项，默认对应的 interval 而已
// 然后实现上，可以在 common 包的 enums 加个 DateIntervalEnum，里面一个是 interval 字段，枚举过去，然后有个 pattern 字段，用于格式化时间格式；
// 这样的话，可以通过 interval 获取到 pattern，然后前端就可以根据 pattern 格式化时间，计算还是交给数据库
/** /**
* group by DATE_FORMAT(field, #{dateFormat}) * group by DATE_FORMAT(field, #{dateFormat})
* 非前端传递, 由Service计算后传递给Mapper的参数
*/ */
@Schema(description = "Group By 日期格式", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "%Y%m") @Schema(description = "Group By 日期格式", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "%Y%m")
private String sqlDateFormat; private String sqlDateFormat;
// TODO @dhb52：这个字段，目前是不是没啥用呀？
/**
* 数据类型 {@link CrmBizTypeEnum}
*/
@Schema(description = "数据类型", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "2")
private Integer bizType;
} }

27
yudao-module-crm/yudao-module-crm-biz/src/main/java/cn/iocoder/yudao/module/crm/dal/mysql/statistics/CrmStatisticsCustomerMapper.java
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@ -13,33 +13,32 @@ import java.util.List;
@Mapper @Mapper
public interface CrmStatisticsCustomerMapper { public interface CrmStatisticsCustomerMapper {
// TODO @dhb52：拼写，GroupBy。一般 idea 如果出现绿色的警告，可能是单词拼写错误，建议是要修改的哈； List<CrmStatisticsCustomerSummaryByDateRespVO> selectCustomerCreateCountGroupByDate(CrmStatisticsCustomerReqVO reqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByDateRespVO> selectCustomerCreateCountGroupbyDate(CrmStatisticsCustomerReqVO reqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByDateRespVO> selectCustomerDealCountGroupbyDate(CrmStatisticsCustomerReqVO reqVO); // 已经 review List<CrmStatisticsCustomerSummaryByDateRespVO> selectCustomerDealCountGroupByDate(CrmStatisticsCustomerReqVO reqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByUserRespVO> selectCustomerCreateCountGroupbyUser(CrmStatisticsCustomerReqVO reqVO); // 已经 review List<CrmStatisticsCustomerSummaryByUserRespVO> selectCustomerCreateCountGroupByUser(CrmStatisticsCustomerReqVO reqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByUserRespVO> selectCustomerDealCountGroupbyUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review List<CrmStatisticsCustomerSummaryByUserRespVO> selectCustomerDealCountGroupByUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByUserRespVO> selectContractPriceGroupbyUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review List<CrmStatisticsCustomerSummaryByUserRespVO> selectContractPriceGroupByUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review
List<CrmStatisticsCustomerSummaryByUserRespVO> selectReceivablePriceGroupbyUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review List<CrmStatisticsCustomerSummaryByUserRespVO> selectReceivablePriceGroupByUser(CrmStatisticsCustomerReqVO crmStatisticsCustomerReqVO); // 已经 review
List<CrmStatisticsFollowupSummaryByDateRespVO> selectFollowupRecordCountGroupbyDate(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsFollowupSummaryByDateRespVO> selectFollowupRecordCountGroupByDate(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsFollowupSummaryByDateRespVO> selectFollowupCustomerCountGroupbyDate(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsFollowupSummaryByDateRespVO> selectFollowupCustomerCountGroupByDate(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsFollowupSummaryByUserRespVO> selectFollowupRecordCountGroupbyUser(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsFollowupSummaryByUserRespVO> selectFollowupRecordCountGroupByUser(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsFollowupSummaryByUserRespVO> selectFollowupCustomerCountGroupbyUser(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsFollowupSummaryByUserRespVO> selectFollowupCustomerCountGroupByUser(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsCustomerContractSummaryRespVO> selectContractSummary(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsCustomerContractSummaryRespVO> selectContractSummary(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsFollowupSummaryByTypeRespVO> selectFollowupRecordCountGroupbyType(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsFollowupSummaryByTypeRespVO> selectFollowupRecordCountGroupByType(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsCustomerDealCycleByDateRespVO> selectCustomerDealCycleGroupbyDate(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsCustomerDealCycleByDateRespVO> selectCustomerDealCycleGroupByDate(CrmStatisticsCustomerReqVO reqVO);
List<CrmStatisticsCustomerDealCycleByUserRespVO> selectCustomerDealCycleGroupbyUser(CrmStatisticsCustomerReqVO reqVO); List<CrmStatisticsCustomerDealCycleByUserRespVO> selectCustomerDealCycleGroupByUser(CrmStatisticsCustomerReqVO reqVO);
} }

236
yudao-module-crm/yudao-module-crm-biz/src/main/java/cn/iocoder/yudao/module/crm/service/statistics/CrmStatisticsCustomerServiceImpl.java
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@ -1,13 +1,15 @@
package cn.iocoder.yudao.module.crm.service.statistics; package cn.iocoder.yudao.module.crm.service.statistics;
import cn.hutool.core.collection.CollUtil; import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.DateTime;
import cn.hutool.core.date.DateUtil;
import cn.hutool.core.date.LocalDateTimeUtil; import cn.hutool.core.date.LocalDateTimeUtil;
import cn.hutool.core.util.ObjUtil; import cn.hutool.core.util.ObjUtil;
import cn.iocoder.yudao.framework.common.enums.DateIntervalEnum;
import cn.iocoder.yudao.framework.common.util.collection.MapUtils; import cn.iocoder.yudao.framework.common.util.collection.MapUtils;
import cn.iocoder.yudao.framework.common.util.number.NumberUtils; import cn.iocoder.yudao.framework.common.util.number.NumberUtils;
import cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.*; import cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.*;
import cn.iocoder.yudao.module.crm.dal.mysql.statistics.CrmStatisticsCustomerMapper; import cn.iocoder.yudao.module.crm.dal.mysql.statistics.CrmStatisticsCustomerMapper;
import cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum;
import cn.iocoder.yudao.module.system.api.dept.DeptApi; import cn.iocoder.yudao.module.system.api.dept.DeptApi;
import cn.iocoder.yudao.module.system.api.dept.dto.DeptRespDTO; import cn.iocoder.yudao.module.system.api.dept.dto.DeptRespDTO;
import cn.iocoder.yudao.module.system.api.dict.DictDataApi; import cn.iocoder.yudao.module.system.api.dict.DictDataApi;
@ -20,14 +22,15 @@ import org.springframework.validation.annotation.Validated;
import java.math.BigDecimal; import java.math.BigDecimal;
import java.time.LocalDateTime; import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collections; import java.util.Collections;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.stream.Stream; import java.util.stream.Stream;
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
import static cn.iocoder.yudao.framework.common.util.collection.CollectionUtils.*; import static cn.iocoder.yudao.framework.common.util.collection.CollectionUtils.*;
import static cn.iocoder.yudao.module.crm.enums.DictTypeConstants.*; import static cn.iocoder.yudao.module.crm.enums.DictTypeConstants.*;
import static cn.iocoder.yudao.module.crm.enums.ErrorCodeConstants.STATISTICS_CUSTOMER_TIMES_NOT_SET;
/** /**
* CRM 客户分析 Service 实现类 * CRM 客户分析 Service 实现类
@ -58,114 +61,107 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
@Override @Override
public List<CrmStatisticsCustomerSummaryByDateRespVO> getCustomerSummaryByDate(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsCustomerSummaryByDateRespVO> getCustomerSummaryByDate(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
// TODO @dhb52：如果是 list 变量，要么 List 要么 s 后缀 initParams(reqVO);
reqVO.setSqlDateFormat(getSqlDateFormat(reqVO.getTimes()[0], reqVO.getTimes()[1])); List<CrmStatisticsCustomerSummaryByDateRespVO> customerCreateCountVoList = customerMapper.selectCustomerCreateCountGroupByDate(reqVO);
final List<CrmStatisticsCustomerSummaryByDateRespVO> customerCreateCount = customerMapper.selectCustomerCreateCountGroupbyDate(reqVO); List<CrmStatisticsCustomerSummaryByDateRespVO> customerDealCountVoList = customerMapper.selectCustomerDealCountGroupByDate(reqVO);
final List<CrmStatisticsCustomerSummaryByDateRespVO> customerDealCount = customerMapper.selectCustomerDealCountGroupbyDate(reqVO);
// 3. 获取时间序列 // 3. 合并数据
// TODO @dhb52：3 和 4 其实做的是一类事情，所以可以考虑 3.1 获取时间序列、3.2 合并统计数据 这样注释；然后中间就不空行了；就是说，一般空行的目的，是让逻辑分片，看着整体性更好，但是不能让逻辑感觉碎碎的； List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]);
final List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]); Map<String, Integer> customerCreateCountMap = convertMap(customerCreateCountVoList,
// 4. 合并统计数据
// TODO @dhb52：这个是不是要 add 到 respVoList 里？或者还可以 convertList(times, time -> new CrmStatisticsCustomerDealCycleByDateRespVO()...)
List<CrmStatisticsCustomerSummaryByDateRespVO> respVoList = new ArrayList<>(times.size());
final Map<String, Integer> customerCreateCountMap = convertMap(customerCreateCount,
CrmStatisticsCustomerSummaryByDateRespVO::getTime, CrmStatisticsCustomerSummaryByDateRespVO::getTime,
CrmStatisticsCustomerSummaryByDateRespVO::getCustomerCreateCount); CrmStatisticsCustomerSummaryByDateRespVO::getCustomerCreateCount);
final Map<String, Integer> customerDealCountMap = convertMap(customerDealCount, Map<String, Integer> customerDealCountMap = convertMap(customerDealCountVoList,
CrmStatisticsCustomerSummaryByDateRespVO::getTime, CrmStatisticsCustomerSummaryByDateRespVO::getTime,
CrmStatisticsCustomerSummaryByDateRespVO::getCustomerDealCount); CrmStatisticsCustomerSummaryByDateRespVO::getCustomerDealCount);
times.forEach(time -> respVoList.add( List<CrmStatisticsCustomerSummaryByDateRespVO> respVoList = convertList(times,
new CrmStatisticsCustomerSummaryByDateRespVO().setTime(time) time -> new CrmStatisticsCustomerSummaryByDateRespVO()
.setTime(time)
.setCustomerCreateCount(customerCreateCountMap.getOrDefault(time, 0)) .setCustomerCreateCount(customerCreateCountMap.getOrDefault(time, 0))
.setCustomerDealCount(customerDealCountMap.getOrDefault(time, 0)) .setCustomerDealCount(customerDealCountMap.getOrDefault(time, 0)));
));
return respVoList; return respVoList;
} }
@Override @Override
public List<CrmStatisticsCustomerSummaryByUserRespVO> getCustomerSummaryByUser(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsCustomerSummaryByUserRespVO> getCustomerSummaryByUser(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
final List<CrmStatisticsCustomerSummaryByUserRespVO> customerCreateCount = customerMapper.selectCustomerCreateCountGroupbyUser(reqVO); initParams(reqVO);
final List<CrmStatisticsCustomerSummaryByUserRespVO> customerDealCount = customerMapper.selectCustomerDealCountGroupbyUser(reqVO); List<CrmStatisticsCustomerSummaryByUserRespVO> customerCreateCount = customerMapper.selectCustomerCreateCountGroupByUser(reqVO);
final List<CrmStatisticsCustomerSummaryByUserRespVO> contractPrice = customerMapper.selectContractPriceGroupbyUser(reqVO); List<CrmStatisticsCustomerSummaryByUserRespVO> customerDealCount = customerMapper.selectCustomerDealCountGroupByUser(reqVO);
final List<CrmStatisticsCustomerSummaryByUserRespVO> receivablePrice = customerMapper.selectReceivablePriceGroupbyUser(reqVO); List<CrmStatisticsCustomerSummaryByUserRespVO> contractPrice = customerMapper.selectContractPriceGroupByUser(reqVO);
List<CrmStatisticsCustomerSummaryByUserRespVO> receivablePrice = customerMapper.selectReceivablePriceGroupByUser(reqVO);
// 3. 合并统计数据 // 3. 合并统计数据
final Map<Long, Integer> customerCreateCountMap = convertMap(customerCreateCount, Map<Long, Integer> customerCreateCountMap = convertMap(customerCreateCount,
CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId, CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerSummaryByUserRespVO::getCustomerCreateCount); CrmStatisticsCustomerSummaryByUserRespVO::getCustomerCreateCount);
final Map<Long, Integer> customerDealCountMap = convertMap(customerDealCount, Map<Long, Integer> customerDealCountMap = convertMap(customerDealCount,
CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId, CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerSummaryByUserRespVO::getCustomerDealCount); CrmStatisticsCustomerSummaryByUserRespVO::getCustomerDealCount);
final Map<Long, BigDecimal> contractPriceMap = convertMap(contractPrice, Map<Long, BigDecimal> contractPriceMap = convertMap(contractPrice,
CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId, CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerSummaryByUserRespVO::getContractPrice); CrmStatisticsCustomerSummaryByUserRespVO::getContractPrice);
final Map<Long, BigDecimal> receivablePriceMap = convertMap(receivablePrice, Map<Long, BigDecimal> receivablePriceMap = convertMap(receivablePrice,
CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId, CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerSummaryByUserRespVO::getReceivablePrice); CrmStatisticsCustomerSummaryByUserRespVO::getReceivablePrice);
List<CrmStatisticsCustomerSummaryByUserRespVO> respVoList = new ArrayList<>(userIds.size()); List<CrmStatisticsCustomerSummaryByUserRespVO> respVoList = convertList(userIds, userId -> {
userIds.forEach(userId -> { CrmStatisticsCustomerSummaryByUserRespVO vo = new CrmStatisticsCustomerSummaryByUserRespVO();
final CrmStatisticsCustomerSummaryByUserRespVO vo = new CrmStatisticsCustomerSummaryByUserRespVO(); // ownerUserId 为基类属性
vo.setOwnerUserId(userId); vo.setOwnerUserId(userId);
vo.setCustomerCreateCount(customerCreateCountMap.getOrDefault(userId, 0)) vo.setCustomerCreateCount(customerCreateCountMap.getOrDefault(userId, 0))
.setCustomerDealCount(customerDealCountMap.getOrDefault(userId, 0)) .setCustomerDealCount(customerDealCountMap.getOrDefault(userId, 0))
.setContractPrice(contractPriceMap.getOrDefault(userId, BigDecimal.ZERO)) .setContractPrice(contractPriceMap.getOrDefault(userId, BigDecimal.ZERO))
.setReceivablePrice(receivablePriceMap.getOrDefault(userId, BigDecimal.ZERO)); .setReceivablePrice(receivablePriceMap.getOrDefault(userId, BigDecimal.ZERO));
respVoList.add(vo); return vo;
}); });
// 4. 拼接用户信息 // 4. 拼接用户信息
appendUserInfo(respVoList); appendUserInfo(respVoList);
return respVoList; return respVoList;
} }
@Override @Override
public List<CrmStatisticsFollowupSummaryByDateRespVO> getFollowupSummaryByDate(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsFollowupSummaryByDateRespVO> getFollowupSummaryByDate(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
reqVO.setSqlDateFormat(getSqlDateFormat(reqVO.getTimes()[0], reqVO.getTimes()[1])); initParams(reqVO);
reqVO.setBizType(CrmBizTypeEnum.CRM_CUSTOMER.getType()); List<CrmStatisticsFollowupSummaryByDateRespVO> followupRecordCount = customerMapper.selectFollowupRecordCountGroupByDate(reqVO);
final List<CrmStatisticsFollowupSummaryByDateRespVO> followupRecordCount = customerMapper.selectFollowupRecordCountGroupbyDate(reqVO); List<CrmStatisticsFollowupSummaryByDateRespVO> followupCustomerCount = customerMapper.selectFollowupCustomerCountGroupByDate(reqVO);
final List<CrmStatisticsFollowupSummaryByDateRespVO> followupCustomerCount = customerMapper.selectFollowupCustomerCountGroupbyDate(reqVO);
// 3. 获取时间序列 // 3. 合并统计数据
final List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]); List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]);
Map<String, Integer> followupRecordCountMap = convertMap(followupRecordCount,
// 4. 合并统计数据
List<CrmStatisticsFollowupSummaryByDateRespVO> respVoList = new ArrayList<>(times.size());
final Map<String, Integer> followupRecordCountMap = convertMap(followupRecordCount,
CrmStatisticsFollowupSummaryByDateRespVO::getTime, CrmStatisticsFollowupSummaryByDateRespVO::getTime,
CrmStatisticsFollowupSummaryByDateRespVO::getFollowupRecordCount); CrmStatisticsFollowupSummaryByDateRespVO::getFollowupRecordCount);
final Map<String, Integer> followupCustomerCountMap = convertMap(followupCustomerCount, Map<String, Integer> followupCustomerCountMap = convertMap(followupCustomerCount,
CrmStatisticsFollowupSummaryByDateRespVO::getTime, CrmStatisticsFollowupSummaryByDateRespVO::getTime,
CrmStatisticsFollowupSummaryByDateRespVO::getFollowupCustomerCount); CrmStatisticsFollowupSummaryByDateRespVO::getFollowupCustomerCount);
times.forEach(time -> respVoList.add( List<CrmStatisticsFollowupSummaryByDateRespVO> respVoList = convertList(times, time ->
new CrmStatisticsFollowupSummaryByDateRespVO().setTime(time) new CrmStatisticsFollowupSummaryByDateRespVO().setTime(time)
.setFollowupRecordCount(followupRecordCountMap.getOrDefault(time, 0)) .setFollowupRecordCount(followupRecordCountMap.getOrDefault(time, 0))
.setFollowupCustomerCount(followupCustomerCountMap.getOrDefault(time, 0)) .setFollowupCustomerCount(followupCustomerCountMap.getOrDefault(time, 0))
)); );
return respVoList; return respVoList;
} }
@ -173,31 +169,31 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
@Override @Override
public List<CrmStatisticsFollowupSummaryByUserRespVO> getFollowupSummaryByUser(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsFollowupSummaryByUserRespVO> getFollowupSummaryByUser(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
reqVO.setBizType(CrmBizTypeEnum.CRM_CUSTOMER.getType()); initParams(reqVO);
final List<CrmStatisticsFollowupSummaryByUserRespVO> followupRecordCount = customerMapper.selectFollowupRecordCountGroupbyUser(reqVO); List<CrmStatisticsFollowupSummaryByUserRespVO> followupRecordCount = customerMapper.selectFollowupRecordCountGroupByUser(reqVO);
final List<CrmStatisticsFollowupSummaryByUserRespVO> followupCustomerCount = customerMapper.selectFollowupCustomerCountGroupbyUser(reqVO); List<CrmStatisticsFollowupSummaryByUserRespVO> followupCustomerCount = customerMapper.selectFollowupCustomerCountGroupByUser(reqVO);
// 3. 合并统计数据 // 3. 合并统计数据
final Map<Long, Integer> followupRecordCountMap = convertMap(followupRecordCount, Map<Long, Integer> followupRecordCountMap = convertMap(followupRecordCount,
CrmStatisticsFollowupSummaryByUserRespVO::getOwnerUserId, CrmStatisticsFollowupSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsFollowupSummaryByUserRespVO::getFollowupRecordCount); CrmStatisticsFollowupSummaryByUserRespVO::getFollowupRecordCount);
final Map<Long, Integer> followupCustomerCountMap = convertMap(followupCustomerCount, Map<Long, Integer> followupCustomerCountMap = convertMap(followupCustomerCount,
CrmStatisticsFollowupSummaryByUserRespVO::getOwnerUserId, CrmStatisticsFollowupSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsFollowupSummaryByUserRespVO::getFollowupCustomerCount); CrmStatisticsFollowupSummaryByUserRespVO::getFollowupCustomerCount);
List<CrmStatisticsFollowupSummaryByUserRespVO> respVoList = new ArrayList<>(userIds.size()); List<CrmStatisticsFollowupSummaryByUserRespVO> respVoList = convertList(userIds, userId -> {
userIds.forEach(userId -> { CrmStatisticsFollowupSummaryByUserRespVO vo = new CrmStatisticsFollowupSummaryByUserRespVO()
final CrmStatisticsFollowupSummaryByUserRespVO vo = new CrmStatisticsFollowupSummaryByUserRespVO()
.setFollowupRecordCount(followupRecordCountMap.getOrDefault(userId, 0)) .setFollowupRecordCount(followupRecordCountMap.getOrDefault(userId, 0))
.setFollowupCustomerCount(followupCustomerCountMap.getOrDefault(userId, 0)); .setFollowupCustomerCount(followupCustomerCountMap.getOrDefault(userId, 0));
// ownerUserId 为基类属性
vo.setOwnerUserId(userId); vo.setOwnerUserId(userId);
respVoList.add(vo); return vo;
}); });
// 4. 拼接用户信息 // 4. 拼接用户信息
@ -208,19 +204,19 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
@Override @Override
public List<CrmStatisticsFollowupSummaryByTypeRespVO> getFollowupSummaryByType(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsFollowupSummaryByTypeRespVO> getFollowupSummaryByType(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获得排行数据 // 2. 获得排行数据
reqVO.setBizType(CrmBizTypeEnum.CRM_CUSTOMER.getType()); initParams(reqVO);
List<CrmStatisticsFollowupSummaryByTypeRespVO> respVoList = customerMapper.selectFollowupRecordCountGroupbyType(reqVO); List<CrmStatisticsFollowupSummaryByTypeRespVO> respVoList = customerMapper.selectFollowupRecordCountGroupByType(reqVO);
// 3. 获取字典数据 // 3. 获取字典数据
List<DictDataRespDTO> followUpTypes = dictDataApi.getDictDataList(CRM_FOLLOW_UP_TYPE); List<DictDataRespDTO> followUpTypes = dictDataApi.getDictDataList(CRM_FOLLOW_UP_TYPE);
final Map<String, String> followUpTypeMap = convertMap(followUpTypes, Map<String, String> followUpTypeMap = convertMap(followUpTypes,
DictDataRespDTO::getValue, DictDataRespDTO::getLabel); DictDataRespDTO::getValue, DictDataRespDTO::getLabel);
respVoList.forEach(vo -> { respVoList.forEach(vo -> {
vo.setFollowupType(followUpTypeMap.get(vo.getFollowupType())); vo.setFollowupType(followUpTypeMap.get(vo.getFollowupType()));
@ -232,26 +228,27 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
@Override @Override
public List<CrmStatisticsCustomerContractSummaryRespVO> getContractSummary(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsCustomerContractSummaryRespVO> getContractSummary(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取统计数据 // 2. 获取统计数据
initParams(reqVO);
List<CrmStatisticsCustomerContractSummaryRespVO> respVoList = customerMapper.selectContractSummary(reqVO); List<CrmStatisticsCustomerContractSummaryRespVO> respVoList = customerMapper.selectContractSummary(reqVO);
// 3. 设置 创建人、负责人、行业、来源 // 3. 设置 创建人、负责人、行业、来源
// 获取客户所属行业 // 3.1 获取客户所属行业
Map<String, String> industryMap = convertMap(dictDataApi.getDictDataList(CRM_CUSTOMER_INDUSTRY), Map<String, String> industryMap = convertMap(dictDataApi.getDictDataList(CRM_CUSTOMER_INDUSTRY),
DictDataRespDTO::getValue, DictDataRespDTO::getLabel); DictDataRespDTO::getValue, DictDataRespDTO::getLabel);
// 获取客户来源 // 3.2 获取客户来源
Map<String, String> sourceMap = convertMap(dictDataApi.getDictDataList(CRM_CUSTOMER_SOURCE), Map<String, String> sourceMap = convertMap(dictDataApi.getDictDataList(CRM_CUSTOMER_SOURCE),
DictDataRespDTO::getValue, DictDataRespDTO::getLabel); DictDataRespDTO::getValue, DictDataRespDTO::getLabel);
// 获取创建人、负责人列表 // 3.3 获取创建人、负责人列表
Map<Long, AdminUserRespDTO> userMap = adminUserApi.getUserMap(convertSetByFlatMap(respVoList, Map<Long, AdminUserRespDTO> userMap = adminUserApi.getUserMap(convertSetByFlatMap(respVoList,
vo -> Stream.of(NumberUtils.parseLong(vo.getCreatorUserId()), vo.getOwnerUserId()))); vo -> Stream.of(NumberUtils.parseLong(vo.getCreatorUserId()), vo.getOwnerUserId())));
// 3.4 设置 创建人、负责人、行业、来源
respVoList.forEach(vo -> { respVoList.forEach(vo -> {
MapUtils.findAndThen(industryMap, vo.getIndustryId(), vo::setIndustryName); MapUtils.findAndThen(industryMap, vo.getIndustryId(), vo::setIndustryName);
MapUtils.findAndThen(sourceMap, vo.getSource(), vo::setSourceName); MapUtils.findAndThen(sourceMap, vo.getSource(), vo::setSourceName);
@ -266,60 +263,57 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
@Override @Override
public List<CrmStatisticsCustomerDealCycleByDateRespVO> getCustomerDealCycleByDate(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsCustomerDealCycleByDateRespVO> getCustomerDealCycleByDate(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
reqVO.setSqlDateFormat(getSqlDateFormat(reqVO.getTimes()[0], reqVO.getTimes()[1])); initParams(reqVO);
reqVO.setBizType(CrmBizTypeEnum.CRM_CUSTOMER.getType()); List<CrmStatisticsCustomerDealCycleByDateRespVO> customerDealCycle = customerMapper.selectCustomerDealCycleGroupByDate(reqVO);
final List<CrmStatisticsCustomerDealCycleByDateRespVO> customerDealCycle = customerMapper.selectCustomerDealCycleGroupbyDate(reqVO);
// 3. 获取时间序列 // 3. 合并统计数据
final List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]); List<String> times = generateTimeSeries(reqVO.getTimes()[0], reqVO.getTimes()[1]);
Map<String, Double> customerDealCycleMap = convertMap(customerDealCycle,
// 4. 合并统计数据
List<CrmStatisticsCustomerDealCycleByDateRespVO> respVoList = new ArrayList<>(times.size());
final Map<String, Double> customerDealCycleMap = convertMap(customerDealCycle,
CrmStatisticsCustomerDealCycleByDateRespVO::getTime, CrmStatisticsCustomerDealCycleByDateRespVO::getTime,
CrmStatisticsCustomerDealCycleByDateRespVO::getCustomerDealCycle); CrmStatisticsCustomerDealCycleByDateRespVO::getCustomerDealCycle);
times.forEach(time -> respVoList.add( List<CrmStatisticsCustomerDealCycleByDateRespVO> respVoList = convertList(times, time ->
new CrmStatisticsCustomerDealCycleByDateRespVO().setTime(time) new CrmStatisticsCustomerDealCycleByDateRespVO().setTime(time)
.setCustomerDealCycle(customerDealCycleMap.getOrDefault(time, 0D)) .setCustomerDealCycle(customerDealCycleMap.getOrDefault(time, 0D))
)); );
return respVoList; return respVoList;
} }
@Override @Override
public List<CrmStatisticsCustomerDealCycleByUserRespVO> getCustomerDealCycleByUser(CrmStatisticsCustomerReqVO reqVO) { public List<CrmStatisticsCustomerDealCycleByUserRespVO> getCustomerDealCycleByUser(CrmStatisticsCustomerReqVO reqVO) {
// 1. 获得用户编号数组 // 1. 获得用户编号数组
final List<Long> userIds = getUserIds(reqVO); List<Long> userIds = getUserIds(reqVO);
if (CollUtil.isEmpty(userIds)) { if (CollUtil.isEmpty(userIds)) {
return Collections.emptyList(); return Collections.emptyList();
} }
reqVO.setUserIds(userIds); reqVO.setUserIds(userIds);
// 2. 获取分项统计数据 // 2. 获取分项统计数据
reqVO.setBizType(CrmBizTypeEnum.CRM_CUSTOMER.getType()); initParams(reqVO);
final List<CrmStatisticsCustomerDealCycleByUserRespVO> customerDealCycle = customerMapper.selectCustomerDealCycleGroupbyUser(reqVO); List<CrmStatisticsCustomerDealCycleByUserRespVO> customerDealCycle = customerMapper.selectCustomerDealCycleGroupByUser(reqVO);
final List<CrmStatisticsCustomerSummaryByUserRespVO> customerDealCount = customerMapper.selectCustomerDealCountGroupbyUser(reqVO); List<CrmStatisticsCustomerSummaryByUserRespVO> customerDealCount = customerMapper.selectCustomerDealCountGroupByUser(reqVO);
// 3. 合并统计数据 // 3. 合并统计数据
final Map<Long, Double> customerDealCycleMap = convertMap(customerDealCycle, Map<Long, Double> customerDealCycleMap = convertMap(customerDealCycle,
CrmStatisticsCustomerDealCycleByUserRespVO::getOwnerUserId, CrmStatisticsCustomerDealCycleByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerDealCycleByUserRespVO::getCustomerDealCycle); CrmStatisticsCustomerDealCycleByUserRespVO::getCustomerDealCycle);
final Map<Long, Integer> customerDealCountMap = convertMap(customerDealCount, Map<Long, Integer> customerDealCountMap = convertMap(customerDealCount,
CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId, CrmStatisticsCustomerSummaryByUserRespVO::getOwnerUserId,
CrmStatisticsCustomerSummaryByUserRespVO::getCustomerDealCount); CrmStatisticsCustomerSummaryByUserRespVO::getCustomerDealCount);
List<CrmStatisticsCustomerDealCycleByUserRespVO> respVoList = new ArrayList<>(userIds.size()); List<CrmStatisticsCustomerDealCycleByUserRespVO> respVoList = convertList(userIds, userId -> {
userIds.forEach(userId -> { CrmStatisticsCustomerDealCycleByUserRespVO vo = new CrmStatisticsCustomerDealCycleByUserRespVO()
final CrmStatisticsCustomerDealCycleByUserRespVO vo = new CrmStatisticsCustomerDealCycleByUserRespVO()
.setCustomerDealCycle(customerDealCycleMap.getOrDefault(userId, 0.0)) .setCustomerDealCycle(customerDealCycleMap.getOrDefault(userId, 0.0))
.setCustomerDealCount(customerDealCountMap.getOrDefault(userId, 0)); .setCustomerDealCount(customerDealCountMap.getOrDefault(userId, 0));
// ownerUserId 为基类属性
vo.setOwnerUserId(userId); vo.setOwnerUserId(userId);
respVoList.add(vo); return vo;
}); });
// 4. 拼接用户信息 // 4. 拼接用户信息
@ -335,8 +329,9 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
*/ */
private <T extends CrmStatisticsCustomerByUserBaseRespVO> void appendUserInfo(List<T> respVoList) { private <T extends CrmStatisticsCustomerByUserBaseRespVO> void appendUserInfo(List<T> respVoList) {
Map<Long, AdminUserRespDTO> userMap = adminUserApi.getUserMap(convertSet(respVoList, Map<Long, AdminUserRespDTO> userMap = adminUserApi.getUserMap(convertSet(respVoList,
CrmStatisticsCustomerByUserBaseRespVO::getOwnerUserId)); CrmStatisticsCustomerByUserBaseRespVO::getOwnerUserId));
respVoList.forEach(vo -> MapUtils.findAndThen(userMap, vo.getOwnerUserId(), user -> vo.setOwnerUserName(user.getNickname()))); respVoList.forEach(vo -> MapUtils.findAndThen(userMap,
vo.getOwnerUserId(), user -> vo.setOwnerUserName(user.getNickname())));
} }
/** /**
@ -352,7 +347,7 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
} }
// 情况二：选中某个部门 // 情况二：选中某个部门
// 2.1 获得部门列表 // 2.1 获得部门列表
final Long deptId = reqVO.getDeptId(); Long deptId = reqVO.getDeptId();
List<Long> deptIds = convertList(deptApi.getChildDeptList(deptId), DeptRespDTO::getId); List<Long> deptIds = convertList(deptApi.getChildDeptList(deptId), DeptRespDTO::getId);
deptIds.add(deptId); deptIds.add(deptId);
// 2.2 获得用户编号 // 2.2 获得用户编号
@ -378,7 +373,6 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
* @param endTime 结束时间 * @param endTime 结束时间
* @return 时间序列 * @return 时间序列
*/ */
// TODO @dhb52：可以抽象到 DateUtils 里，开始时间、结束时间，事件间隔，然后返回这个哈；
private List<String> generateTimeSeries(LocalDateTime startTime, LocalDateTime endTime) { private List<String> generateTimeSeries(LocalDateTime startTime, LocalDateTime endTime) {
boolean byMonth = queryByMonth(startTime, endTime); boolean byMonth = queryByMonth(startTime, endTime);
List<String> times = CollUtil.newArrayList(); List<String> times = CollUtil.newArrayList();
@ -404,4 +398,62 @@ public class CrmStatisticsCustomerServiceImpl implements CrmStatisticsCustomerSe
return queryByMonth(startTime, endTime) ? SQL_DATE_FORMAT_BY_MONTH : SQL_DATE_FORMAT_BY_DAY; return queryByMonth(startTime, endTime) ? SQL_DATE_FORMAT_BY_MONTH : SQL_DATE_FORMAT_BY_DAY;
} }
private void initParams(CrmStatisticsCustomerReqVO reqVO) {
final Integer intervalType = reqVO.getIntervalType();
// 1. 自定义时间间隔，必须输入起始日期-结束日期
if (DateIntervalEnum.CUSTOMER.getType().equals(intervalType)) {
if (ObjUtil.isEmpty(reqVO.getTimes()) || reqVO.getTimes().length != 2) {
throw exception(STATISTICS_CUSTOMER_TIMES_NOT_SET);
}
// 设置 mapper sqlDateFormat 参数
reqVO.setSqlDateFormat(getSqlDateFormat(reqVO.getTimes()[0], reqVO.getTimes()[1]));
// 自定义日期无需计算日期参数
return;
}
// 2. 根据时间区间类型计算时间段区间日期
DateTime beginDate = null;
DateTime endDate = null;
if (DateIntervalEnum.TODAY.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfDay(DateUtil.date());
endDate = DateUtil.endOfDay(DateUtil.date());
} else if (DateIntervalEnum.YESTERDAY.getType().equals(intervalType)) {
beginDate = DateUtil.offsetDay(DateUtil.date(), -1);
endDate = DateUtil.offsetDay(DateUtil.date(), -1);
} else if (DateIntervalEnum.THIS_WEEK.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfWeek(DateUtil.date());
endDate = DateUtil.endOfWeek(DateUtil.date());
} else if (DateIntervalEnum.LAST_WEEK.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfWeek(DateUtil.offsetWeek(DateUtil.date(), -1));
endDate = DateUtil.endOfWeek(DateUtil.offsetWeek(DateUtil.date(), -1));
} else if (DateIntervalEnum.THIS_MONTH.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfMonth(DateUtil.date());
endDate = DateUtil.endOfMonth(DateUtil.date());
} else if (DateIntervalEnum.LAST_MONTH.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfMonth(DateUtil.offsetMonth(DateUtil.date(), -1));
endDate = DateUtil.endOfMonth(DateUtil.offsetMonth(DateUtil.date(), -1));
} else if (DateIntervalEnum.THIS_QUARTER.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfQuarter(DateUtil.date());
endDate = DateUtil.endOfQuarter(DateUtil.date());
} else if (DateIntervalEnum.LAST_QUARTER.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfQuarter(DateUtil.offsetMonth(DateUtil.date(), -3));
endDate = DateUtil.endOfQuarter(DateUtil.offsetMonth(DateUtil.date(), -3));
} else if (DateIntervalEnum.THIS_YEAR.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfYear(DateUtil.date());
endDate = DateUtil.endOfYear(DateUtil.date());
} else if (DateIntervalEnum.LAST_YEAR.getType().equals(intervalType)) {
beginDate = DateUtil.beginOfYear(DateUtil.offsetMonth(DateUtil.date(), -12));
endDate = DateUtil.endOfYear(DateUtil.offsetMonth(DateUtil.date(), -12));
}
// 3. 计算开始、结束日期时间，并设置reqVo
LocalDateTime[] times = new LocalDateTime[2];
times[0] = LocalDateTimeUtil.beginOfDay(LocalDateTimeUtil.of(beginDate));
times[1] = LocalDateTimeUtil.endOfDay(LocalDateTimeUtil.of(endDate));
// 3.1 设置 mapper 时间区间 参数
reqVO.setTimes(times);
// 3.2 设置 mapper sqlDateFormat 参数
reqVO.setSqlDateFormat(getSqlDateFormat(times[0], times[1]));
}
} }

378
yudao-module-crm/yudao-module-crm-biz/src/main/resources/mapper/statistics/CrmStatisticsCustomerMapper.xml
View File

@ -2,251 +2,233 @@
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="cn.iocoder.yudao.module.crm.dal.mysql.statistics.CrmStatisticsCustomerMapper"> <mapper namespace="cn.iocoder.yudao.module.crm.dal.mysql.statistics.CrmStatisticsCustomerMapper">
<!-- TODO @dhb52：数据库的关键字，进行大写。例如说，COUNT --> <select id="selectCustomerCreateCountGroupByDate"
<select id="selectCustomerCreateCountGroupbyDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByDateRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByDateRespVO">
SELECT SELECT
<!-- TODO @dhb52：下面这个，缩进一个 tab；这样可读性更好哈 --> DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time,
DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time, COUNT(*) AS customerCreateCount
COUNT(*) AS customerCreateCount FROM crm_customer
FROM crm_customer WHERE deleted = 0
WHERE deleted = 0 AND owner_user_id IN
AND owner_user_id IN <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> #{userId}
#{userId} </foreach>
</foreach> AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND GROUP BY time
<!-- TODO @dhb52：这可以考虑不换行，直接跟在后面的 AND，更连贯哈； -->
#{times[1],javaType=java.time.LocalDateTime}
GROUP BY time
</select> </select>
<select id="selectCustomerDealCountGroupbyDate" <select id="selectCustomerDealCountGroupByDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByDateRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByDateRespVO">
SELECT SELECT
<!-- TODO @dhb52：下面这个，缩进一个 tab；这样可读性更好哈 --> DATE_FORMAT( order_date, #{sqlDateFormat} ) AS time,
<!-- TODO @dhb52：表变量最好不要用 a、b；可以用 customer 和 constract；虽然长一点，但是一眼看的清楚哈 --> COUNT( DISTINCT customer_id ) AS customerDealCount
DATE_FORMAT( b.order_date, #{sqlDateFormat} ) AS time, FROM crm_contract
count( DISTINCT a.id ) AS customerDealCount WHERE deleted = 0
FROM crm_customer AS a AND audit_status = 20
LEFT JOIN crm_contract AS b ON b.customer_id = a.id AND owner_user_id IN
WHERE a.deleted = 0 AND b.deleted = 0 <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
AND b.audit_status = 20 #{userId}
AND a.owner_user_id IN </foreach>
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
#{userId}
</foreach>
<!-- TODO @dhb52：这个应该是 order_date 的范围哈；貌似如果改成这样，不需要查询 customer 表，只要 contract 表就 ok 拉 -->
AND b.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND
#{times[1],javaType=java.time.LocalDateTime}
GROUP BY time GROUP BY time
</select> </select>
<!-- TODO @dhb52：根据上面建议，进行优化 --> <select id="selectCustomerCreateCountGroupByUser"
<select id="selectCustomerCreateCountGroupbyUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO">
SELECT owner_user_id, COUNT(1) AS customer_create_count SELECT
FROM crm_customer owner_user_id,
WHERE deleted = 0 COUNT(1) AS customer_create_count
AND owner_user_id in FROM crm_customer
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> WHERE deleted = 0
#{userId} AND owner_user_id in
</foreach> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{userId}
#{times[1],javaType=java.time.LocalDateTime} </foreach>
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
GROUP BY owner_user_id GROUP BY owner_user_id
</select> </select>
<!-- TODO @dhb52：根据上面建议，进行优化 --> <select id="selectCustomerDealCountGroupByUser"
<select id="selectCustomerDealCountGroupbyUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO">
SELECT a.owner_user_id, count( DISTINCT a.id ) AS customer_deal_count SELECT
FROM crm_customer AS a customer.owner_user_id,
LEFT JOIN crm_contract AS b ON b.customer_id = a.id COUNT( DISTINCT customer.id ) AS customer_deal_count
WHERE a.deleted = 0 AND b.deleted = 0 FROM crm_customer AS customer
AND b.audit_status = 20 LEFT JOIN crm_contract AS contract ON contract.customer_id = customer.id
AND a.owner_user_id IN WHERE customer.deleted = 0 AND contract.deleted = 0
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> AND contract.audit_status = 20
#{userId} AND customer.owner_user_id IN
</foreach> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
AND b.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{userId}
#{times[1],javaType=java.time.LocalDateTime} </foreach>
GROUP BY a.owner_user_id AND contract.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
GROUP BY customer.owner_user_id
</select> </select>
<!-- TODO @dhb52：根据上面建议，进行优化 --> <select id="selectContractPriceGroupByUser"
<select id="selectContractPriceGroupbyUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO">
SELECT owner_user_id, IFNULL(SUM(total_price), 0) AS contract_price SELECT
FROM crm_contract owner_user_id,
WHERE deleted = 0 IFNULL(SUM(total_price), 0) AS contract_price
AND audit_status = 20 FROM crm_contract
AND owner_user_id in WHERE deleted = 0
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> AND audit_status = 20
#{userId} AND owner_user_id in
</foreach> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
AND order_date BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{userId}
#{times[1],javaType=java.time.LocalDateTime} </foreach>
GROUP BY owner_user_id AND order_date BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
GROUP BY owner_user_id
</select> </select>
<select id="selectReceivablePriceGroupByUser"
<!-- TODO @dhb52：根据上面建议，进行优化 -->
<select id="selectReceivablePriceGroupbyUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerSummaryByUserRespVO">
SELECT owner_user_id, SELECT
IFNULL(SUM(price), 0) AS receivable_price owner_user_id,
FROM crm_receivable IFNULL(SUM(price), 0) AS receivable_price
WHERE deleted = 0 FROM crm_receivable
AND audit_status = 20 WHERE deleted = 0
AND owner_user_id IN AND audit_status = 20
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> AND owner_user_id IN
#{userId} <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
</foreach> #{userId}
AND return_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND </foreach>
#{times[1],javaType=java.time.LocalDateTime} AND return_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
GROUP BY owner_user_id GROUP BY owner_user_id
</select> </select>
<select id="selectFollowupRecordCountGroupbyDate" <select id="selectFollowupRecordCountGroupByDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByDateRespVO">
SELECT DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time,
count(*) AS followup_record_count
FROM crm_follow_up_record
WHERE creator IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId}
</foreach>
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND
#{times[1],javaType=java.time.LocalDateTime}
AND biz_type = #{bizType}
GROUP BY time
</select>
<select id="selectFollowupCustomerCountGroupbyDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByDateRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByDateRespVO">
SELECT SELECT
DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time, DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time,
count(DISTINCT biz_id) AS followup_customer_count COUNT(*) AS followup_record_count
FROM crm_follow_up_record FROM crm_follow_up_record
WHERE creator IN WHERE creator IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId} #{userId}
</foreach> </foreach>
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
#{times[1],javaType=java.time.LocalDateTime} AND biz_type = ${@cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum@CRM_CUSTOMER.type}
AND biz_type = #{bizType} GROUP BY time
GROUP BY time
</select> </select>
<select id="selectFollowupRecordCountGroupbyUser" <select id="selectFollowupCustomerCountGroupByDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByDateRespVO">
SELECT
DATE_FORMAT( create_time, #{sqlDateFormat} ) AS time,
COUNT(DISTINCT biz_id) AS followup_customer_count
FROM crm_follow_up_record
WHERE creator IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId}
</foreach>
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
AND biz_type = ${@cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum@CRM_CUSTOMER.type}
GROUP BY time
</select>
<select id="selectFollowupRecordCountGroupByUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByUserRespVO">
SELECT creator as owner_user_id, SELECT
count(*) AS followup_record_count creator as owner_user_id,
FROM crm_follow_up_record COUNT(*) AS followup_record_count
WHERE creator IN FROM crm_follow_up_record
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> WHERE creator IN
#{userId} <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
</foreach> #{userId}
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND </foreach>
#{times[1],javaType=java.time.LocalDateTime} AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
AND biz_type = #{bizType} AND biz_type = ${@cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum@CRM_CUSTOMER.type}
GROUP BY creator GROUP BY creator
</select> </select>
<select id="selectFollowupCustomerCountGroupbyUser" <select id="selectFollowupCustomerCountGroupByUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByUserRespVO">
SELECT creator as owner_user_id, SELECT
count(DISTINCT biz_id) AS followup_customer_count creator as owner_user_id,
FROM crm_follow_up_record COUNT(DISTINCT biz_id) AS followup_customer_count
WHERE creator IN FROM crm_follow_up_record
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> WHERE creator IN
#{userId} <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
</foreach> #{userId}
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND </foreach>
#{times[1],javaType=java.time.LocalDateTime} AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
AND biz_type = #{bizType} AND biz_type = ${@cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum@CRM_CUSTOMER.type}
GROUP BY creator GROUP BY creator
</select> </select>
<select id="selectFollowupRecordCountGroupbyType" <select id="selectFollowupRecordCountGroupByType"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByTypeRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsFollowupSummaryByTypeRespVO">
SELECT SELECT
type AS followupType, type AS followupType,
count(*) AS followup_record_count COUNT(*) AS followup_record_count
FROM crm_follow_up_record FROM crm_follow_up_record
WHERE creator IN WHERE creator IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId} #{userId}
</foreach> </foreach>
AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND AND create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
#{times[1],javaType=java.time.LocalDateTime} AND biz_type = ${@cn.iocoder.yudao.module.crm.enums.common.CrmBizTypeEnum@CRM_CUSTOMER.type}
AND biz_type = #{bizType} GROUP BY followupType
GROUP BY followupType
</select> </select>
<select id="selectContractSummary" <select id="selectContractSummary"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerContractSummaryRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerContractSummaryRespVO">
SELECT SELECT
a.`name` AS customer_name, customer.`name` AS customer_name,
b.`name` AS contract_name, contract.`name` AS contract_name,
b.total_price, contract.total_price,
IFNULL( c.price, 0 ) AS receivable_price, IFNULL( receivable.price, 0 ) AS receivable_price,
a.industry_id, customer.industry_id,
a.source, customer.source,
a.owner_user_id, customer.owner_user_id,
a.creator AS creator_user_id, customer.creator AS creator_user_id,
a.create_time, customer.create_time,
b.order_date contract.order_date
FROM FROM crm_customer AS customer
crm_customer AS a INNER JOIN crm_contract AS contract ON customer.id = contract.customer_id
INNER JOIN crm_contract AS b ON a.id = b.customer_id LEFT JOIN crm_receivable AS receivable ON contract.id = receivable.contract_id
LEFT JOIN crm_receivable AS c ON b.id = c.contract_id WHERE customer.deleted = 0 AND contract.deleted = 0 AND receivable.deleted = 0
WHERE a.deleted = 0 AND b.deleted = 0 AND c.deleted = 0 AND contract.audit_status = 20
AND b.audit_status = 20 AND customer.owner_user_id IN
AND a.owner_user_id IN <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> #{userId}
#{userId} </foreach>
</foreach> AND contract.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
AND b.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND
#{times[1],javaType=java.time.LocalDateTime}
</select> </select>
<select id="selectCustomerDealCycleGroupbyDate" <select id="selectCustomerDealCycleGroupByDate"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerDealCycleByDateRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerDealCycleByDateRespVO">
SELECT SELECT
DATE_FORMAT( b.order_date, #{sqlDateFormat} ) AS time, DATE_FORMAT( contract.order_date, #{sqlDateFormat} ) AS time,
IFNULL( TRUNCATE ( AVG( TIMESTAMPDIFF( DAY, a.create_time, b.order_date )), 1 ), 0 ) AS customer_deal_cycle IFNULL( TRUNCATE ( AVG( TIMESTAMPDIFF( DAY, customer.create_time, contract.order_date )), 1 ), 0 ) AS customer_deal_cycle
FROM crm_customer AS a FROM crm_customer AS customer
LEFT JOIN crm_contract AS b ON b.customer_id = a.id LEFT JOIN crm_contract AS contract ON contract.customer_id = customer.id
WHERE a.deleted = 0 AND b.deleted = 0 WHERE customer.deleted = 0 AND contract.deleted = 0
AND b.audit_status = 20 AND contract.audit_status = 20
AND a.owner_user_id IN AND customer.owner_user_id IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId} #{userId}
</foreach> </foreach>
AND b.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND AND contract.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
#{times[1],javaType=java.time.LocalDateTime} GROUP BY time
GROUP BY time
</select> </select>
<select id="selectCustomerDealCycleGroupbyUser" <select id="selectCustomerDealCycleGroupByUser"
resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerDealCycleByUserRespVO"> resultType="cn.iocoder.yudao.module.crm.controller.admin.statistics.vo.customer.CrmStatisticsCustomerDealCycleByUserRespVO">
SELECT SELECT
a.owner_user_id, customer.owner_user_id,
IFNULL( TRUNCATE ( AVG( TIMESTAMPDIFF( DAY, a.create_time, b.order_date )), 1 ), 0 ) AS customer_deal_cycle IFNULL( TRUNCATE ( AVG( TIMESTAMPDIFF( DAY, customer.create_time, contract.order_date )), 1 ), 0 ) AS customer_deal_cycle
FROM crm_customer AS a FROM crm_customer AS customer
LEFT JOIN crm_contract AS b ON b.customer_id = a.id LEFT JOIN crm_contract AS contract ON contract.customer_id = customer.id
WHERE a.deleted = 0 AND b.deleted = 0 WHERE customer.deleted = 0 AND contract.deleted = 0
AND b.audit_status = 20 AND contract.audit_status = 20
AND a.owner_user_id IN AND customer.owner_user_id IN
<foreach collection="userIds" item="userId" open="(" close=")" separator=","> <foreach collection="userIds" item="userId" open="(" close=")" separator=",">
#{userId} #{userId}
</foreach> </foreach>
AND b.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND AND contract.create_time BETWEEN #{times[0],javaType=java.time.LocalDateTime} AND #{times[1],javaType=java.time.LocalDateTime}
#{times[1],javaType=java.time.LocalDateTime} GROUP BY customer.owner_user_id
GROUP BY a.owner_user_id
</select> </select>
</mapper> </mapper>