Merge remote-tracking branch 'origin/feat/infer_dev_260107' into feat/infer_dev_260107
This commit is contained in:
@@ -1,5 +1,6 @@
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package com.kamco.cd.kamcoback.postgres.core;
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import com.kamco.cd.kamcoback.common.utils.UserUtil;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.Dashboard;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.MapSheet;
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@@ -8,13 +9,18 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
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import com.kamco.cd.kamcoback.postgres.entity.MapInkx5kEntity;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceEntity;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceGeomEntity;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearn5kEntity;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
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import com.kamco.cd.kamcoback.postgres.repository.Inference.MapSheetAnalDataInferenceRepository;
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import com.kamco.cd.kamcoback.postgres.repository.Inference.MapSheetLearn5kRepository;
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import com.kamco.cd.kamcoback.postgres.repository.Inference.MapSheetLearnRepository;
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import com.kamco.cd.kamcoback.postgres.repository.scene.MapInkx5kRepository;
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import jakarta.persistence.EntityManager;
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import jakarta.persistence.EntityNotFoundException;
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import jakarta.validation.constraints.NotNull;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.UUID;
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import lombok.RequiredArgsConstructor;
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import org.springframework.data.domain.Page;
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import org.springframework.stereotype.Service;
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@@ -27,6 +33,10 @@ public class InferenceResultCoreService {
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private final MapSheetAnalDataInferenceRepository mapSheetAnalDataRepository;
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private final MapSheetLearnRepository mapSheetLearnRepository;
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private final MapInkx5kRepository mapInkx5kRepository;
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private final MapSheetLearn5kRepository mapSheetLearn5kRepository;
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private final EntityManager entityManager;
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private final UserUtil userUtil;
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/**
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* 추론관리 목록
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@@ -39,6 +49,55 @@ public class InferenceResultCoreService {
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return list.map(MapSheetLearnEntity::toDto);
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}
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/**
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* 변화탐지 실행 정보 생성
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*
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* @param req
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*/
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public UUID saveInferenceInfo(InferenceResultDto.RegReq req) {
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MapSheetLearnEntity mapSheetLearnEntity = new MapSheetLearnEntity();
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mapSheetLearnEntity.setTitle(req.getTitle());
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mapSheetLearnEntity.setM1ModelUid(req.getModel1Uid());
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mapSheetLearnEntity.setM2ModelUid(req.getModel2Uid());
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mapSheetLearnEntity.setM3ModelUid(req.getModel3Uid());
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mapSheetLearnEntity.setCompareYyyy(req.getCompareYyyy());
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mapSheetLearnEntity.setTargetYyyy(req.getTargetYyyy());
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mapSheetLearnEntity.setMapSheetScope(req.getMapSheetScope());
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mapSheetLearnEntity.setDetectOption(req.getDetectOption());
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mapSheetLearnEntity.setCreatedUid(userUtil.getId());
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// learn 테이블 저장
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MapSheetLearnEntity savedLearn = mapSheetLearnRepository.save(mapSheetLearnEntity);
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final int CHUNK = 1000;
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List<MapSheetLearn5kEntity> buffer = new ArrayList<>(CHUNK);
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List<String> mapSheetNumList = req.getMapSheetNum();
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// learn 도엽 저장
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for (String mapSheetNum : mapSheetNumList) {
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MapSheetLearn5kEntity e = new MapSheetLearn5kEntity();
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e.setLearn(savedLearn);
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e.setMapSheetNum(Long.parseLong(mapSheetNum));
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e.setCreatedUid(userUtil.getId());
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buffer.add(e);
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if (buffer.size() == CHUNK) {
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mapSheetLearn5kRepository.saveAll(buffer);
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mapSheetLearn5kRepository.flush();
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entityManager.clear();
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buffer.clear();
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}
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}
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if (!buffer.isEmpty()) {
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mapSheetLearn5kRepository.saveAll(buffer);
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mapSheetLearn5kRepository.flush();
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entityManager.clear();
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}
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return savedLearn.getUuid();
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}
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/****/
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/**
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@@ -61,6 +61,10 @@ public class LabelAllocateCoreService {
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return labelAllocateRepository.findLatestProjectInfo();
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}
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public ProjectInfo findProjectInfoByUuid(String uuid) {
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return labelAllocateRepository.findProjectInfoByUuid(uuid);
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}
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public UUID findLastLabelWorkState() {
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return labelAllocateRepository.findLastLabelWorkState();
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}
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@@ -74,6 +78,10 @@ public class LabelAllocateCoreService {
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return labelAllocateRepository.findWorkProgressInfo(analUid);
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}
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public WorkProgressInfo findWorkProgressInfoByUuid(String uuid) {
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return labelAllocateRepository.findWorkProgressInfoByUuid(uuid);
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}
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public Long findDailyProcessedCount(
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String workerId, String workerType, LocalDate date, Long analUid) {
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return labelAllocateRepository.findDailyProcessedCount(workerId, workerType, date, analUid);
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@@ -133,4 +141,8 @@ public class LabelAllocateCoreService {
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String uuid, String userId, String paramUserId, Long assignCount) {
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labelAllocateRepository.assignOwnerReAllocate(uuid, userId, paramUserId, assignCount);
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}
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public void updateClosedYnByUuid(String uuid, String closedType, String closedYn) {
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labelAllocateRepository.updateClosedYnByUuid(uuid, closedType, closedYn);
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}
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}
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@@ -149,4 +149,14 @@ public class MapSheetAnalInferenceEntity {
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@Column(name = "stage")
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private Integer stage;
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@Size(max = 1)
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@ColumnDefault("'N'")
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@Column(name = "labeling_closed_yn", length = 1)
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private String labelingClosedYn = "N";
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@Size(max = 1)
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@ColumnDefault("'N'")
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@Column(name = "inspection_closed_yn", length = 1)
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private String inspectionClosedYn = "N";
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}
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@@ -0,0 +1,51 @@
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package com.kamco.cd.kamcoback.postgres.entity;
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import jakarta.persistence.Column;
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import jakarta.persistence.Entity;
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import jakarta.persistence.FetchType;
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import jakarta.persistence.GeneratedValue;
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import jakarta.persistence.GenerationType;
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import jakarta.persistence.Id;
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import jakarta.persistence.JoinColumn;
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import jakarta.persistence.ManyToOne;
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import jakarta.persistence.SequenceGenerator;
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import jakarta.persistence.Table;
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import jakarta.validation.constraints.NotNull;
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import java.time.ZonedDateTime;
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import lombok.Getter;
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import lombok.Setter;
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import org.hibernate.annotations.OnDelete;
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import org.hibernate.annotations.OnDeleteAction;
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@Getter
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@Setter
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@Entity
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@Table(name = "tb_map_sheet_learn_5k")
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public class MapSheetLearn5kEntity {
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@Id
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@GeneratedValue(strategy = GenerationType.SEQUENCE, generator = "tb_map_sheet_learn_5k_id_gen")
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@SequenceGenerator(
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name = "tb_map_sheet_learn_5k_id_gen",
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sequenceName = "tb_map_sheet_learn_5k_seq",
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allocationSize = 1)
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@Column(name = "id", nullable = false)
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private Long id;
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@NotNull
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@ManyToOne(fetch = FetchType.LAZY, optional = false)
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@OnDelete(action = OnDeleteAction.CASCADE)
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@JoinColumn(name = "learn_id", nullable = false, referencedColumnName = "id")
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private MapSheetLearnEntity learn;
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@NotNull
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@Column(name = "map_sheet_num", nullable = false)
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private Long mapSheetNum;
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@org.hibernate.annotations.CreationTimestamp
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@Column(name = "created_dttm")
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private ZonedDateTime createdDttm;
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@Column(name = "created_uid")
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private Long createdUid;
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}
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@@ -33,7 +33,7 @@ public class MapSheetLearnEntity {
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@ColumnDefault("gen_random_uuid()")
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@Column(name = "uuid")
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private UUID uuid;
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private UUID uuid = UUID.randomUUID();
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@Size(max = 200)
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@NotNull
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@@ -89,7 +89,7 @@ public class MapSheetLearnEntity {
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@Column(name = "apply_dttm")
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private ZonedDateTime applyDttm;
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@ColumnDefault("now()")
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@org.hibernate.annotations.CreationTimestamp
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@Column(name = "created_dttm")
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private ZonedDateTime createdDttm;
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@@ -0,0 +1,7 @@
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package com.kamco.cd.kamcoback.postgres.repository.Inference;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearn5kEntity;
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import org.springframework.data.jpa.repository.JpaRepository;
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public interface MapSheetLearn5kRepository
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extends JpaRepository<MapSheetLearn5kEntity, Long>, MapSheetLearn5kRepositoryCustom {}
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@@ -0,0 +1,3 @@
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package com.kamco.cd.kamcoback.postgres.repository.Inference;
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public interface MapSheetLearn5kRepositoryCustom {}
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@@ -0,0 +1,6 @@
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package com.kamco.cd.kamcoback.postgres.repository.Inference;
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import org.springframework.stereotype.Repository;
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@Repository
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public class MapSheetLearn5kRepositoryImpl implements MapSheetLearn5kRepositoryCustom {}
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@@ -37,6 +37,9 @@ public interface LabelAllocateRepositoryCustom {
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// 최신 프로젝트 정보 조회 (analUid 없이)
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ProjectInfo findLatestProjectInfo();
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// UUID로 프로젝트 정보 조회
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ProjectInfo findProjectInfoByUuid(String uuid);
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// 최신 작업 상태의 UUID 조회
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UUID findLastLabelWorkState();
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@@ -47,6 +50,9 @@ public interface LabelAllocateRepositoryCustom {
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// 작업 진행 현황 조회
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WorkProgressInfo findWorkProgressInfo(Long analUid);
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// UUID로 작업 진행 현황 조회
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WorkProgressInfo findWorkProgressInfoByUuid(String uuid);
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// 작업자별 일일 처리량 조회
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Long findDailyProcessedCount(String workerId, String workerType, LocalDate date, Long analUid);
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@@ -77,4 +83,7 @@ public interface LabelAllocateRepositoryCustom {
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void insertLabelerUser(Long analUid, String userId, int demand);
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void assignOwnerReAllocate(String uuid, String userId, String paramUserId, Long assignCount);
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// 프로젝트 종료 여부 업데이트 (uuid 기반)
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void updateClosedYnByUuid(String uuid, String closedType, String closedYn);
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}
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@@ -335,10 +335,50 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
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@Override
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public WorkProgressInfo findWorkProgressInfo(Long analUid) {
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BooleanExpression analUidCondition =
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analUid != null ? labelingAssignmentEntity.analUid.eq(analUid) : null;
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// analUid가 null이면 최신 프로젝트의 analUid 조회
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Long effectiveAnalUid = analUid;
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if (effectiveAnalUid == null) {
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UUID latestUuid = findLastLabelWorkState();
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if (latestUuid != null) {
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effectiveAnalUid =
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queryFactory
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.select(mapSheetAnalInferenceEntity.id)
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.from(mapSheetAnalInferenceEntity)
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.where(mapSheetAnalInferenceEntity.uuid.eq(latestUuid))
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.fetchOne();
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}
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}
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// 전체 배정 건수
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BooleanExpression analUidCondition =
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effectiveAnalUid != null ? labelingAssignmentEntity.analUid.eq(effectiveAnalUid) : null;
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// analUid로 분석 정보(compareYyyy, targetYyyy, stage) 조회
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MapSheetAnalInferenceEntity analEntity = null;
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if (effectiveAnalUid != null) {
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analEntity =
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queryFactory
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.selectFrom(mapSheetAnalInferenceEntity)
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.where(mapSheetAnalInferenceEntity.id.eq(effectiveAnalUid))
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.fetchOne();
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}
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// 라벨링 대상 건수: tb_map_sheet_anal_data_inference_geom에서 pnu > 0 AND pass_yn = false(부적합)인 건수
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Long labelingTargetCount = 0L;
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if (analEntity != null) {
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labelingTargetCount =
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queryFactory
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.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
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.from(mapSheetAnalDataInferenceGeomEntity)
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.where(
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mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(analEntity.getCompareYyyy()),
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mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(analEntity.getTargetYyyy()),
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mapSheetAnalDataInferenceGeomEntity.stage.eq(analEntity.getStage()),
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mapSheetAnalDataInferenceGeomEntity.pnu.gt(0L),
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mapSheetAnalDataInferenceGeomEntity.passYn.isFalse())
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.fetchOne();
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}
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// 전체 배정 건수 (tb_labeling_assignment 기준)
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Long totalAssigned =
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queryFactory
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.select(labelingAssignmentEntity.count())
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@@ -390,47 +430,217 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
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.where(analUidCondition, labelingAssignmentEntity.inspectorUid.isNotNull())
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.fetchOne();
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// 남은 작업 건수 계산
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long total = totalAssigned != null ? totalAssigned : 0L;
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// 라벨링 대상 건수 (pass_yn = false인 부적합 데이터 기준)
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long labelingTotal = labelingTargetCount != null ? labelingTargetCount : 0L;
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long assignedTotal = totalAssigned != null ? totalAssigned : 0L;
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long labelCompleted = labelingCompleted != null ? labelingCompleted : 0L;
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long inspectCompleted = inspectionCompleted != null ? inspectionCompleted : 0L;
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long skipped = skipCount != null ? skipCount : 0L;
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long labelingRemaining = total - labelCompleted - skipped;
|
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long inspectionRemaining = total - inspectCompleted - skipped;
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// 라벨링 남은 건수: 라벨링 대상 건수 - 완료 - 스킵
|
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long labelingRemaining = labelingTotal - labelCompleted - skipped;
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if (labelingRemaining < 0) labelingRemaining = 0;
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// 진행률 계산
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double labelingRate = total > 0 ? (double) labelCompleted / total * 100 : 0.0;
|
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double inspectionRate = total > 0 ? (double) inspectCompleted / total * 100 : 0.0;
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// 검수 대상 건수: 라벨링 대상 건수와 동일 (기획서 기준)
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long inspectionTotal = labelingTotal;
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// 검수 남은 건수: 검수 대상 건수 - 검수완료(DONE) - 스킵
|
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long inspectionRemaining = inspectionTotal - inspectCompleted - skipped;
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if (inspectionRemaining < 0) inspectionRemaining = 0;
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// 상태 판단
|
||||
String labelingStatus = labelingRemaining > 0 ? "진행중" : "완료";
|
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String inspectionStatus = inspectionRemaining > 0 ? "진행중" : "완료";
|
||||
// 진행률 계산 (라벨링 대상 건수 기준)
|
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double labelingRate = labelingTotal > 0 ? (double) labelCompleted / labelingTotal * 100 : 0.0;
|
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double inspectionRate =
|
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inspectionTotal > 0 ? (double) inspectCompleted / inspectionTotal * 100 : 0.0;
|
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|
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// 상태 판단 (각각의 closedYn이 "Y"이면 "종료", 아니면 진행중/완료)
|
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String labelingStatus;
|
||||
String inspectionStatus;
|
||||
|
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// 라벨링 상태 판단
|
||||
if (analEntity != null && "Y".equals(analEntity.getLabelingClosedYn())) {
|
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labelingStatus = "종료";
|
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} else {
|
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labelingStatus = labelingRemaining > 0 ? "진행중" : "완료";
|
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}
|
||||
|
||||
// 검수 상태 판단
|
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if (analEntity != null && "Y".equals(analEntity.getInspectionClosedYn())) {
|
||||
inspectionStatus = "종료";
|
||||
} else {
|
||||
inspectionStatus = inspectionRemaining > 0 ? "진행중" : "완료";
|
||||
}
|
||||
|
||||
return WorkProgressInfo.builder()
|
||||
// 라벨링
|
||||
// 라벨링 (pass_yn = false인 부적합 데이터 기준)
|
||||
.labelingProgressRate(labelingRate)
|
||||
.labelingStatus(labelingStatus)
|
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.labelingTotalCount(total)
|
||||
.labelingTotalCount(labelingTotal)
|
||||
.labelingCompletedCount(labelCompleted)
|
||||
.labelingSkipCount(skipped)
|
||||
.labelingRemainingCount(labelingRemaining)
|
||||
.labelerCount(labelerCount != null ? labelerCount : 0L)
|
||||
// 검수
|
||||
// 검수 (라벨링 완료 건수 기준)
|
||||
.inspectionProgressRate(inspectionRate)
|
||||
.inspectionStatus(inspectionStatus)
|
||||
.inspectionTotalCount(total)
|
||||
.inspectionTotalCount(inspectionTotal)
|
||||
.inspectionCompletedCount(inspectCompleted)
|
||||
.inspectionSkipCount(skipped)
|
||||
.inspectionRemainingCount(inspectionRemaining)
|
||||
.inspectorCount(inspectorCount != null ? inspectorCount : 0L)
|
||||
// 레거시 호환 필드 (Deprecated)
|
||||
.progressRate(labelingRate)
|
||||
.totalAssignedCount(total)
|
||||
.totalAssignedCount(labelingTotal)
|
||||
.completedCount(labelCompleted)
|
||||
.remainingLabelCount(labelingRemaining)
|
||||
.remainingInspectCount(inspectionRemaining)
|
||||
.build();
|
||||
}
|
||||
|
||||
@Override
|
||||
public WorkProgressInfo findWorkProgressInfoByUuid(String uuid) {
|
||||
if (uuid == null || uuid.isBlank()) {
|
||||
return findWorkProgressInfo(null);
|
||||
}
|
||||
|
||||
UUID targetUuid = UUID.fromString(uuid);
|
||||
|
||||
// UUID로 analUid 조회
|
||||
Long effectiveAnalUid =
|
||||
queryFactory
|
||||
.select(mapSheetAnalInferenceEntity.id)
|
||||
.from(mapSheetAnalInferenceEntity)
|
||||
.where(mapSheetAnalInferenceEntity.uuid.eq(targetUuid))
|
||||
.fetchOne();
|
||||
|
||||
if (effectiveAnalUid == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
BooleanExpression analUidCondition = labelingAssignmentEntity.analUid.eq(effectiveAnalUid);
|
||||
|
||||
// analUid로 분석 정보(compareYyyy, targetYyyy, stage) 조회
|
||||
MapSheetAnalInferenceEntity analEntity =
|
||||
queryFactory
|
||||
.selectFrom(mapSheetAnalInferenceEntity)
|
||||
.where(mapSheetAnalInferenceEntity.id.eq(effectiveAnalUid))
|
||||
.fetchOne();
|
||||
|
||||
// 라벨링 대상 건수: tb_map_sheet_anal_data_inference_geom에서 pnu > 0 AND pass_yn = false(부적합)인 건수
|
||||
Long labelingTargetCount = 0L;
|
||||
if (analEntity != null) {
|
||||
labelingTargetCount =
|
||||
queryFactory
|
||||
.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
|
||||
.from(mapSheetAnalDataInferenceGeomEntity)
|
||||
.where(
|
||||
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(analEntity.getCompareYyyy()),
|
||||
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(analEntity.getTargetYyyy()),
|
||||
mapSheetAnalDataInferenceGeomEntity.stage.eq(analEntity.getStage()),
|
||||
mapSheetAnalDataInferenceGeomEntity.pnu.gt(0L),
|
||||
mapSheetAnalDataInferenceGeomEntity.passYn.isFalse())
|
||||
.fetchOne();
|
||||
}
|
||||
|
||||
// 전체 배정 건수 (tb_labeling_assignment 기준)
|
||||
Long totalAssigned =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.count())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(analUidCondition)
|
||||
.fetchOne();
|
||||
|
||||
// === 라벨링 통계 ===
|
||||
Long labelingCompleted =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.count())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(
|
||||
analUidCondition,
|
||||
labelingAssignmentEntity.workState.in("LABEL_FIN", "TEST_ING", "DONE"))
|
||||
.fetchOne();
|
||||
|
||||
Long skipCount =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.count())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(analUidCondition, labelingAssignmentEntity.workState.eq("SKIP"))
|
||||
.fetchOne();
|
||||
|
||||
Long labelerCount =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.workerUid.countDistinct())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(analUidCondition, labelingAssignmentEntity.workerUid.isNotNull())
|
||||
.fetchOne();
|
||||
|
||||
// === 검수 통계 ===
|
||||
Long inspectionCompleted =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.count())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(analUidCondition, labelingAssignmentEntity.workState.eq("DONE"))
|
||||
.fetchOne();
|
||||
|
||||
Long inspectorCount =
|
||||
queryFactory
|
||||
.select(labelingAssignmentEntity.inspectorUid.countDistinct())
|
||||
.from(labelingAssignmentEntity)
|
||||
.where(analUidCondition, labelingAssignmentEntity.inspectorUid.isNotNull())
|
||||
.fetchOne();
|
||||
|
||||
// 계산
|
||||
long labelingTotal = labelingTargetCount != null ? labelingTargetCount : 0L;
|
||||
long labelCompleted = labelingCompleted != null ? labelingCompleted : 0L;
|
||||
long inspectCompleted = inspectionCompleted != null ? inspectionCompleted : 0L;
|
||||
long skipped = skipCount != null ? skipCount : 0L;
|
||||
|
||||
long labelingRemaining = labelingTotal - labelCompleted - skipped;
|
||||
if (labelingRemaining < 0) labelingRemaining = 0;
|
||||
|
||||
long inspectionTotal = labelingTotal;
|
||||
long inspectionRemaining = inspectionTotal - inspectCompleted - skipped;
|
||||
if (inspectionRemaining < 0) inspectionRemaining = 0;
|
||||
|
||||
double labelingRate = labelingTotal > 0 ? (double) labelCompleted / labelingTotal * 100 : 0.0;
|
||||
double inspectionRate =
|
||||
inspectionTotal > 0 ? (double) inspectCompleted / inspectionTotal * 100 : 0.0;
|
||||
|
||||
// 상태 판단
|
||||
String labelingStatus;
|
||||
String inspectionStatus;
|
||||
|
||||
if (analEntity != null && "Y".equals(analEntity.getLabelingClosedYn())) {
|
||||
labelingStatus = "종료";
|
||||
} else {
|
||||
labelingStatus = labelingRemaining > 0 ? "진행중" : "완료";
|
||||
}
|
||||
|
||||
if (analEntity != null && "Y".equals(analEntity.getInspectionClosedYn())) {
|
||||
inspectionStatus = "종료";
|
||||
} else {
|
||||
inspectionStatus = inspectionRemaining > 0 ? "진행중" : "완료";
|
||||
}
|
||||
|
||||
return WorkProgressInfo.builder()
|
||||
.labelingProgressRate(labelingRate)
|
||||
.labelingStatus(labelingStatus)
|
||||
.labelingTotalCount(labelingTotal)
|
||||
.labelingCompletedCount(labelCompleted)
|
||||
.labelingSkipCount(skipped)
|
||||
.labelingRemainingCount(labelingRemaining)
|
||||
.labelerCount(labelerCount != null ? labelerCount : 0L)
|
||||
.inspectionProgressRate(inspectionRate)
|
||||
.inspectionStatus(inspectionStatus)
|
||||
.inspectionTotalCount(inspectionTotal)
|
||||
.inspectionCompletedCount(inspectCompleted)
|
||||
.inspectionSkipCount(skipped)
|
||||
.inspectionRemainingCount(inspectionRemaining)
|
||||
.inspectorCount(inspectorCount != null ? inspectorCount : 0L)
|
||||
.progressRate(labelingRate)
|
||||
.totalAssignedCount(labelingTotal)
|
||||
.completedCount(labelCompleted)
|
||||
.remainingLabelCount(labelingRemaining)
|
||||
.remainingInspectCount(inspectionRemaining)
|
||||
.workStatus(labelingStatus)
|
||||
.build();
|
||||
}
|
||||
|
||||
@@ -677,7 +887,9 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
mapSheetAnalInferenceEntity.stage,
|
||||
mapSheetAnalInferenceEntity.gukyuinApplyDttm,
|
||||
mapSheetAnalInferenceEntity.createdDttm,
|
||||
mapSheetAnalInferenceEntity.uuid)
|
||||
mapSheetAnalInferenceEntity.uuid,
|
||||
mapSheetAnalInferenceEntity.labelingClosedYn,
|
||||
mapSheetAnalInferenceEntity.inspectionClosedYn)
|
||||
.from(mapSheetAnalInferenceEntity)
|
||||
.where(mapSheetAnalInferenceEntity.id.eq(analUid))
|
||||
.fetchOne();
|
||||
@@ -692,6 +904,8 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
ZonedDateTime gukyuinApplyDttm = result.get(mapSheetAnalInferenceEntity.gukyuinApplyDttm);
|
||||
ZonedDateTime createdDttm = result.get(mapSheetAnalInferenceEntity.createdDttm);
|
||||
UUID uuid = result.get(mapSheetAnalInferenceEntity.uuid);
|
||||
String labelingClosedYn = result.get(mapSheetAnalInferenceEntity.labelingClosedYn);
|
||||
String inspectionClosedYn = result.get(mapSheetAnalInferenceEntity.inspectionClosedYn);
|
||||
|
||||
// 변화탐지년도 생성
|
||||
String detectionYear =
|
||||
@@ -706,6 +920,8 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
.gukyuinApplyDttm(gukyuinApplyDttm)
|
||||
.startDttm(createdDttm)
|
||||
.uuid(uuid != null ? uuid.toString() : null)
|
||||
.labelingClosedYn(labelingClosedYn)
|
||||
.inspectionClosedYn(inspectionClosedYn)
|
||||
.build();
|
||||
}
|
||||
|
||||
@@ -727,7 +943,9 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
mapSheetAnalInferenceEntity.stage,
|
||||
mapSheetAnalInferenceEntity.gukyuinApplyDttm,
|
||||
mapSheetAnalInferenceEntity.createdDttm,
|
||||
mapSheetAnalInferenceEntity.uuid)
|
||||
mapSheetAnalInferenceEntity.uuid,
|
||||
mapSheetAnalInferenceEntity.labelingClosedYn,
|
||||
mapSheetAnalInferenceEntity.inspectionClosedYn)
|
||||
.from(mapSheetAnalInferenceEntity)
|
||||
.where(mapSheetAnalInferenceEntity.uuid.eq(uuid))
|
||||
.fetchOne();
|
||||
@@ -741,6 +959,8 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
Integer stage = result.get(mapSheetAnalInferenceEntity.stage);
|
||||
ZonedDateTime gukyuinApplyDttm = result.get(mapSheetAnalInferenceEntity.gukyuinApplyDttm);
|
||||
ZonedDateTime createdDttm = result.get(mapSheetAnalInferenceEntity.createdDttm);
|
||||
String labelingClosedYn = result.get(mapSheetAnalInferenceEntity.labelingClosedYn);
|
||||
String inspectionClosedYn = result.get(mapSheetAnalInferenceEntity.inspectionClosedYn);
|
||||
|
||||
// 변화탐지년도 생성
|
||||
String detectionYear =
|
||||
@@ -755,6 +975,58 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
.gukyuinApplyDttm(gukyuinApplyDttm)
|
||||
.startDttm(createdDttm)
|
||||
.uuid(uuid.toString())
|
||||
.labelingClosedYn(labelingClosedYn)
|
||||
.inspectionClosedYn(inspectionClosedYn)
|
||||
.build();
|
||||
}
|
||||
|
||||
@Override
|
||||
public ProjectInfo findProjectInfoByUuid(String uuid) {
|
||||
if (uuid == null || uuid.isBlank()) {
|
||||
return null;
|
||||
}
|
||||
|
||||
UUID targetUuid = UUID.fromString(uuid);
|
||||
|
||||
var result =
|
||||
queryFactory
|
||||
.select(
|
||||
mapSheetAnalInferenceEntity.compareYyyy,
|
||||
mapSheetAnalInferenceEntity.targetYyyy,
|
||||
mapSheetAnalInferenceEntity.stage,
|
||||
mapSheetAnalInferenceEntity.gukyuinApplyDttm,
|
||||
mapSheetAnalInferenceEntity.createdDttm,
|
||||
mapSheetAnalInferenceEntity.uuid,
|
||||
mapSheetAnalInferenceEntity.labelingClosedYn,
|
||||
mapSheetAnalInferenceEntity.inspectionClosedYn)
|
||||
.from(mapSheetAnalInferenceEntity)
|
||||
.where(mapSheetAnalInferenceEntity.uuid.eq(targetUuid))
|
||||
.fetchOne();
|
||||
|
||||
if (result == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
Integer compareYyyy = result.get(mapSheetAnalInferenceEntity.compareYyyy);
|
||||
Integer targetYyyy = result.get(mapSheetAnalInferenceEntity.targetYyyy);
|
||||
Integer stage = result.get(mapSheetAnalInferenceEntity.stage);
|
||||
ZonedDateTime gukyuinApplyDttm = result.get(mapSheetAnalInferenceEntity.gukyuinApplyDttm);
|
||||
ZonedDateTime createdDttm = result.get(mapSheetAnalInferenceEntity.createdDttm);
|
||||
String labelingClosedYn = result.get(mapSheetAnalInferenceEntity.labelingClosedYn);
|
||||
String inspectionClosedYn = result.get(mapSheetAnalInferenceEntity.inspectionClosedYn);
|
||||
|
||||
String detectionYear =
|
||||
(compareYyyy != null && targetYyyy != null) ? compareYyyy + "-" + targetYyyy : null;
|
||||
String round = stage != null ? String.valueOf(stage) : null;
|
||||
|
||||
return ProjectInfo.builder()
|
||||
.detectionYear(detectionYear)
|
||||
.stage(round)
|
||||
.gukyuinApplyDttm(gukyuinApplyDttm)
|
||||
.startDttm(createdDttm)
|
||||
.uuid(uuid)
|
||||
.labelingClosedYn(labelingClosedYn)
|
||||
.inspectionClosedYn(inspectionClosedYn)
|
||||
.build();
|
||||
}
|
||||
|
||||
@@ -1160,4 +1432,23 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
|
||||
labelingLabelerEntity.workerUid.eq(paramUserId))
|
||||
.execute();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateClosedYnByUuid(String uuid, String closedType, String closedYn) {
|
||||
var updateQuery = queryFactory.update(mapSheetAnalInferenceEntity);
|
||||
|
||||
if ("LABELING".equals(closedType)) {
|
||||
updateQuery.set(mapSheetAnalInferenceEntity.labelingClosedYn, closedYn);
|
||||
} else if ("INSPECTION".equals(closedType)) {
|
||||
updateQuery.set(mapSheetAnalInferenceEntity.inspectionClosedYn, closedYn);
|
||||
}
|
||||
|
||||
updateQuery
|
||||
.set(mapSheetAnalInferenceEntity.updatedDttm, ZonedDateTime.now())
|
||||
.where(mapSheetAnalInferenceEntity.uuid.eq(UUID.fromString(uuid)))
|
||||
.execute();
|
||||
|
||||
em.flush();
|
||||
em.clear();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -57,7 +57,6 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
QLabelingAssignmentEntity.labelingAssignmentEntity;
|
||||
private final QMemberEntity memberEntity = QMemberEntity.memberEntity;
|
||||
|
||||
|
||||
/**
|
||||
* 변화탐지 년도 셀렉트박스 조회
|
||||
*
|
||||
@@ -81,8 +80,7 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
}
|
||||
|
||||
/**
|
||||
* 라벨링 작업관리 목록 조회
|
||||
* (복잡한 집계 쿼리로 인해 DTO 직접 반환)
|
||||
* 라벨링 작업관리 목록 조회 (복잡한 집계 쿼리로 인해 DTO 직접 반환)
|
||||
*
|
||||
* @param searchReq 검색 조건
|
||||
* @return 라벨링 작업관리 목록 페이지
|
||||
@@ -171,38 +169,42 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
mapSheetAnalInferenceEntity.compareYyyy,
|
||||
mapSheetAnalInferenceEntity.targetYyyy,
|
||||
mapSheetAnalInferenceEntity.stage,
|
||||
// createdDttm: tb_map_sheet_anal_inference.created_dttm 사용
|
||||
mapSheetAnalInferenceEntity.createdDttm,
|
||||
// 국유인 반영 컬럼 gukyuinApplyDttm
|
||||
mapSheetAnalInferenceEntity.gukyuinApplyDttm,
|
||||
mapSheetAnalDataInferenceGeomEntity.dataUid.count(),
|
||||
// labelTotCnt: pnu 있고 pass_yn = false인 건수
|
||||
labelTotCntExpr,
|
||||
new CaseBuilder()
|
||||
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("ASSIGNED"))
|
||||
.when(
|
||||
mapSheetAnalDataInferenceGeomEntity.labelState.eq(
|
||||
LabelState.ASSIGNED.getId()))
|
||||
.then(1L)
|
||||
.otherwise(0L)
|
||||
.sum(),
|
||||
new CaseBuilder()
|
||||
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("STOP"))
|
||||
.when(
|
||||
mapSheetAnalDataInferenceGeomEntity.labelState.eq(
|
||||
LabelState.SKIP.getId())) // "STOP"?
|
||||
.then(1L)
|
||||
.otherwise(0L)
|
||||
.sum(),
|
||||
new CaseBuilder()
|
||||
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("LABEL_ING"))
|
||||
.then(1L)
|
||||
.otherwise(0L)
|
||||
.sum(),
|
||||
new CaseBuilder()
|
||||
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("LABEL_COMPLETE"))
|
||||
.when(
|
||||
mapSheetAnalDataInferenceGeomEntity.labelState.eq(
|
||||
LabelState.DONE.getId())) // "LABEL_COMPLETE"?
|
||||
.then(1L)
|
||||
.otherwise(0L)
|
||||
.sum(),
|
||||
mapSheetAnalDataInferenceGeomEntity.labelStateDttm.min(),
|
||||
// analState: tb_map_sheet_anal_inference.anal_state
|
||||
mapSheetAnalInferenceEntity.analState,
|
||||
// analState: tb_map_sheet_anal_inference.anal_state -> 우선은 미사용, java 단에서 로직화 해서
|
||||
// 내려줌
|
||||
// mapSheetAnalInferenceEntity.analState,
|
||||
// normalProgressCnt: stagnation_yn = 'N'인 건수 (서브쿼리)
|
||||
normalProgressCntSubQuery,
|
||||
// totalAssignmentCnt: 총 배정 건수 (서브쿼리)
|
||||
totalAssignmentCntSubQuery))
|
||||
totalAssignmentCntSubQuery,
|
||||
mapSheetAnalInferenceEntity.labelingClosedYn,
|
||||
mapSheetAnalInferenceEntity.inspectionClosedYn))
|
||||
.from(mapSheetAnalInferenceEntity)
|
||||
.innerJoin(mapSheetAnalDataInferenceEntity)
|
||||
.on(whereSubDataBuilder)
|
||||
@@ -267,32 +269,29 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
|
||||
whereSubBuilder.and(labelingAssignmentEntity.workerUid.eq(memberEntity.userId));
|
||||
|
||||
// 공통 조건 추출
|
||||
BooleanExpression doneStateCondition =
|
||||
labelingAssignmentEntity.workState.eq(LabelState.DONE.name());
|
||||
|
||||
NumberExpression<Long> assignedCnt = labelingAssignmentEntity.workerUid.count();
|
||||
NumberExpression<Long> doneCnt =
|
||||
this.caseSumExpression(labelingAssignmentEntity.workState.eq(LabelState.DONE.name()));
|
||||
NumberExpression<Long> doneCnt = this.caseSumExpression(doneStateCondition);
|
||||
NumberExpression<Long> skipCnt =
|
||||
this.caseSumExpression(labelingAssignmentEntity.workState.eq(LabelState.SKIP.name()));
|
||||
|
||||
NumberExpression<Long> day3AgoDoneCnt =
|
||||
this.caseSumExpression(
|
||||
labelingAssignmentEntity
|
||||
.workState
|
||||
.eq(LabelState.DONE.name())
|
||||
.and(this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -3)));
|
||||
doneStateCondition.and(
|
||||
this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -3)));
|
||||
|
||||
NumberExpression<Long> day2AgoDoneCnt =
|
||||
this.caseSumExpression(
|
||||
labelingAssignmentEntity
|
||||
.workState
|
||||
.eq(LabelState.DONE.name())
|
||||
.and(this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -2)));
|
||||
doneStateCondition.and(
|
||||
this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -2)));
|
||||
|
||||
NumberExpression<Long> day1AgoDoneCnt =
|
||||
this.caseSumExpression(
|
||||
labelingAssignmentEntity
|
||||
.workState
|
||||
.eq(LabelState.DONE.name())
|
||||
.and(this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -1)));
|
||||
doneStateCondition.and(
|
||||
this.fromDateEqExpression(labelingAssignmentEntity.modifiedDate, -1)));
|
||||
|
||||
NumberExpression<Long> remainingCnt = assignedCnt.subtract(doneCnt);
|
||||
|
||||
@@ -345,7 +344,9 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
mapSheetAnalInferenceEntity
|
||||
.uuid
|
||||
.eq(uuid)
|
||||
.and(labelingAssignmentEntity.analUid.eq(mapSheetAnalInferenceEntity.id)))
|
||||
.and(
|
||||
labelingAssignmentEntity.analUid.eq(
|
||||
mapSheetAnalInferenceEntity.id)))
|
||||
.innerJoin(memberEntity)
|
||||
.on(whereSubBuilder)
|
||||
.where(whereBuilder)
|
||||
@@ -390,8 +391,7 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
|
||||
}
|
||||
|
||||
/**
|
||||
* 작업배정 상세조회
|
||||
* (복잡한 집계 쿼리로 인해 DTO 직접 반환)
|
||||
* 작업배정 상세조회 (복잡한 집계 쿼리로 인해 DTO 직접 반환)
|
||||
*
|
||||
* @param uuid 작업배정 UUID
|
||||
* @return 작업배정 상세 정보
|
||||
|
||||
Reference in New Issue
Block a user