This commit is contained in:
2026-01-02 22:18:09 +09:00
parent a7b04d0be8
commit dc2b9286f4
7 changed files with 595 additions and 581 deletions

View File

@@ -36,86 +36,86 @@ public class LabelAllocateApiController {
@Operation(summary = "배정 가능한 사용자 목록 조회", description = "라벨링 작업 배정을 위한 활성 상태의 사용자 목록을 조회합니다.")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
@GetMapping("/avail-user")
public ApiResponseDto<List<LabelAllocateDto.UserList>> availUserList(
@Parameter(
description = "사용자 역할",
example = "LABELER",
schema = @Schema(allowableValues = {"LABELER", "REVIEWER"}))
@RequestParam
String role) {
@Parameter(
description = "사용자 역할",
example = "LABELER",
schema = @Schema(allowableValues = {"LABELER", "REVIEWER"}))
@RequestParam
String role) {
return ApiResponseDto.ok(labelAllocateService.availUserList(role));
}
@Operation(summary = "작업현황관리(작업자 목록 및 3일치 통계 조회)", description = "학습데이터 제작 현황 조회 API입니다.")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "데이터를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "데이터를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
@GetMapping("/admin/workers")
public ApiResponseDto<WorkerListResponse> getWorkerStatistics(
@Parameter(description = "분석 ID (필수)", required = true, example = "3") @RequestParam
Long analUid,
@Parameter(
description = "작업자 유형 (선택) - 미입력 시 LABELER로 조회",
example = "LABELER",
schema =
@Schema(
allowableValues = {"LABELER", "REVIEWER"},
defaultValue = "LABELER"))
@RequestParam(required = false)
String type,
@Parameter(description = "작업자 이름 검색 (부분 일치)", example = "김라벨") @RequestParam(required = false)
String searchName,
@Parameter(description = "작업자 사번 검색 (부분 일치)", example = "1234567")
@RequestParam(required = false)
String searchEmployeeNo,
@Parameter(
description = "정렬 조건 (선택) - 미입력 시 이름 오름차순",
example = "REMAINING_DESC",
schema =
@Schema(
allowableValues = {
"REMAINING_DESC",
"REMAINING_ASC",
"NAME_ASC",
"NAME_DESC"
},
defaultValue = "NAME_ASC"))
@RequestParam(required = false)
String sort) {
@Parameter(description = "분석 ID (필수)", required = true, example = "3") @RequestParam
Long analUid,
@Parameter(
description = "작업자 유형 (선택) - 미입력 시 LABELER로 조회",
example = "LABELER",
schema =
@Schema(
allowableValues = {"LABELER", "REVIEWER"},
defaultValue = "LABELER"))
@RequestParam(required = false)
String type,
@Parameter(description = "작업자 이름 검색 (부분 일치)", example = "김라벨") @RequestParam(required = false)
String searchName,
@Parameter(description = "작업자 사번 검색 (부분 일치)", example = "1234567")
@RequestParam(required = false)
String searchEmployeeNo,
@Parameter(
description = "정렬 조건 (선택) - 미입력 시 이름 오름차순",
example = "REMAINING_DESC",
schema =
@Schema(
allowableValues = {
"REMAINING_DESC",
"REMAINING_ASC",
"NAME_ASC",
"NAME_DESC"
},
defaultValue = "NAME_ASC"))
@RequestParam(required = false)
String sort) {
// type이 null이면 기본값으로 LABELER 설정
String workerType = (type == null || type.isEmpty()) ? RoleType.LABELER.name() : type;
return ApiResponseDto.ok(
labelAllocateService.getWorkerStatistics(
analUid, workerType, searchName, searchEmployeeNo, sort));
labelAllocateService.getWorkerStatistics(
analUid, workerType, searchName, searchEmployeeNo, sort));
}
@Operation(summary = "작업 배정", description = "작업 배정")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "201",
description = "등록 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class),
examples = {
@ExampleObject(
name = "라벨러 할당 예시",
description = "라벨러 할당 예시",
value =
"""
value = {
@ApiResponse(
responseCode = "201",
description = "등록 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class),
examples = {
@ExampleObject(
name = "라벨러 할당 예시",
description = "라벨러 할당 예시",
value =
"""
{
"autoType": "AUTO",
"stage": 4,
@@ -150,67 +150,71 @@ public class LabelAllocateApiController {
]
}
""")
})),
@ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
})),
@ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/allocate")
public ApiResponseDto<Void> labelAllocate(@RequestBody LabelAllocateDto.AllocateDto dto) {
labelAllocateService.allocateAsc(
dto.getAutoType(),
dto.getStage(),
dto.getLabelers(),
dto.getInspectors(),
dto.getCompareYyyy(),
dto.getTargetYyyy()
);
dto.getAutoType(),
dto.getStage(),
dto.getLabelers(),
dto.getInspectors(),
dto.getCompareYyyy(),
dto.getTargetYyyy());
return ApiResponseDto.ok(null);
}
@Operation(summary = "추론 상세 조회", description = "분석 ID에 해당하는 추론 상세 정보를 조회합니다.")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "데이터를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
value = {
@ApiResponse(responseCode = "200", description = "조회 성공"),
@ApiResponse(responseCode = "404", description = "데이터를 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
@GetMapping("/stage-detail")
public ApiResponseDto<InferenceDetail> findInferenceDetail(
@Parameter(description = "비교년도", required = true, example = "2022") @RequestParam Integer compareYyyy,
@Parameter(description = "기준년도", required = true, example = "2024") @RequestParam Integer targetYyyy,
@Parameter(description = "회차", required = true, example = "4") @RequestParam Integer stage
) {
return ApiResponseDto.ok(labelAllocateService.findInferenceDetail(compareYyyy, targetYyyy, stage));
@Parameter(description = "비교년도", required = true, example = "2022") @RequestParam
Integer compareYyyy,
@Parameter(description = "기준년도", required = true, example = "2024") @RequestParam
Integer targetYyyy,
@Parameter(description = "회차", required = true, example = "4") @RequestParam Integer stage) {
return ApiResponseDto.ok(
labelAllocateService.findInferenceDetail(compareYyyy, targetYyyy, stage));
}
@Operation(summary = "작업이관 > 라벨러 상세 정보", description = "작업이관 > 라벨러 상세 정보")
@GetMapping("/labeler-detail")
public ApiResponseDto<LabelerDetail> findLabelerDetail(
@RequestParam(defaultValue = "01022223333") String userId,
@Parameter(description = "비교년도", required = true, example = "2022") @RequestParam Integer compareYyyy,
@Parameter(description = "기준년도", required = true, example = "2024") @RequestParam Integer targetYyyy,
@Parameter(description = "회차", required = true, example = "4") @RequestParam Integer stage) {
return ApiResponseDto.ok(labelAllocateService.findLabelerDetail(userId, compareYyyy, targetYyyy, stage));
@RequestParam(defaultValue = "01022223333") String userId,
@Parameter(description = "비교년도", required = true, example = "2022") @RequestParam
Integer compareYyyy,
@Parameter(description = "기준년도", required = true, example = "2024") @RequestParam
Integer targetYyyy,
@Parameter(description = "회차", required = true, example = "4") @RequestParam Integer stage) {
return ApiResponseDto.ok(
labelAllocateService.findLabelerDetail(userId, compareYyyy, targetYyyy, stage));
}
@Operation(summary = "작업 이관", description = "작업 이관")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "201",
description = "등록 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class),
examples = {
@ExampleObject(
name = "라벨러 할당 예시",
description = "라벨러 할당 예시",
value =
"""
value = {
@ApiResponse(
responseCode = "201",
description = "등록 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class),
examples = {
@ExampleObject(
name = "라벨러 할당 예시",
description = "라벨러 할당 예시",
value =
"""
{
"autoType": "AUTO",
"stage": 4,
@@ -226,24 +230,29 @@ public class LabelAllocateApiController {
]
}
""")
})),
@ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
})),
@ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
@ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/allocate-move")
public ApiResponseDto<Void> labelAllocateMove(
@io.swagger.v3.oas.annotations.parameters.RequestBody(
description = "라벨링 이관",
required = true,
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = LabelAllocateDto.AllocateMoveDto.class)))
@RequestBody
LabelAllocateDto.AllocateMoveDto dto) {
@io.swagger.v3.oas.annotations.parameters.RequestBody(
description = "라벨링 이관",
required = true,
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = LabelAllocateDto.AllocateMoveDto.class)))
@RequestBody
LabelAllocateDto.AllocateMoveDto dto) {
labelAllocateService.allocateMove(dto.getAutoType(), dto.getStage(), dto.getLabelers(), dto.getCompareYyyy(), dto.getTargetYyyy());
labelAllocateService.allocateMove(
dto.getAutoType(),
dto.getStage(),
dto.getLabelers(),
dto.getCompareYyyy(),
dto.getTargetYyyy());
return ApiResponseDto.ok(null);
}

View File

@@ -206,7 +206,7 @@ public class LabelAllocateDto {
@Schema(description = "비교년도", example = "2022")
private Integer compareYyyy;
@Schema(description = "기준년도", example = "2024")
private Integer targetYyyy;
}

View File

@@ -34,24 +34,24 @@ public class LabelAllocateService {
/**
* 도엽 기준 asc sorting 해서 할당 수만큼 배정하는 로직
*
* @param autoType 자동/수동 배정 타입
* @param stage 회차
* @param targetUsers 라벨러 목록
* @param autoType 자동/수동 배정 타입
* @param stage 회차
* @param targetUsers 라벨러 목록
* @param targetInspectors 검수자 목록
*/
@Transactional
public void allocateAsc(
String autoType,
Integer stage,
List<TargetUser> targetUsers,
List<TargetInspector> targetInspectors,
Integer compareYyyy,
Integer targetYyyy
) {
String autoType,
Integer stage,
List<TargetUser> targetUsers,
List<TargetInspector> targetInspectors,
Integer compareYyyy,
Integer targetYyyy) {
Long lastId = null;
// geom 잔여건수 조회
Long chargeCnt = labelAllocateCoreService.findLabelUnAssignedCnt(stage, compareYyyy, targetYyyy);
Long chargeCnt =
labelAllocateCoreService.findLabelUnAssignedCnt(stage, compareYyyy, targetYyyy);
// Long totalDemand = targetUsers.stream().mapToLong(TargetUser::getDemand).sum();
// if (!Objects.equals(chargeCnt, totalDemand)) {
// log.info("chargeCnt != totalDemand");
@@ -62,7 +62,8 @@ public class LabelAllocateService {
return;
}
List<Long> allIds = labelAllocateCoreService.fetchNextIds(lastId, chargeCnt, compareYyyy, targetYyyy, stage);
List<Long> allIds =
labelAllocateCoreService.fetchNextIds(lastId, chargeCnt, compareYyyy, targetYyyy, stage);
int index = 0;
for (TargetUser target : targetUsers) {
int end = index + target.getDemand();
@@ -73,7 +74,8 @@ public class LabelAllocateService {
}
// 검수자에게 userCount명 만큼 할당
List<LabelAllocateDto.Basic> list = labelAllocateCoreService.findAssignedLabelerList(compareYyyy, targetYyyy, stage);
List<LabelAllocateDto.Basic> list =
labelAllocateCoreService.findAssignedLabelerList(compareYyyy, targetYyyy, stage);
int from = 0;
for (TargetInspector inspector : targetInspectors) {
@@ -84,7 +86,7 @@ public class LabelAllocateService {
}
List<UUID> assignmentUids =
list.subList(from, to).stream().map(LabelAllocateDto.Basic::getAssignmentUid).toList();
list.subList(from, to).stream().map(LabelAllocateDto.Basic::getAssignmentUid).toList();
labelAllocateCoreService.assignInspectorBulk(assignmentUids, inspector.getInspectorUid());
@@ -99,50 +101,50 @@ public class LabelAllocateService {
/**
* 작업자 목록 및 3일치 통계 조회
*
* @param analUid 분석 ID
* @param workerType 작업자 유형 (LABELER/INSPECTOR)
* @param searchName 이름 검색
* @param analUid 분석 ID
* @param workerType 작업자 유형 (LABELER/INSPECTOR)
* @param searchName 이름 검색
* @param searchEmployeeNo 사번 검색
* @param sortType 정렬 조건
* @param sortType 정렬 조건
* @return 작업자 목록 및 통계
*/
public WorkerListResponse getWorkerStatistics(
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
// 작업 진행 현황 조회
var progressInfo = labelAllocateCoreService.findWorkProgressInfo(analUid);
// 작업자 통계 조회
List<WorkerStatistics> workers =
labelAllocateCoreService.findWorkerStatistics(
analUid, workerType, searchName, searchEmployeeNo, sortType);
labelAllocateCoreService.findWorkerStatistics(
analUid, workerType, searchName, searchEmployeeNo, sortType);
// 각 작업자별 3일치 처리량 조회
LocalDate today = LocalDate.now();
for (WorkerStatistics worker : workers) {
Long day1Count =
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(1), analUid);
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(1), analUid);
Long day2Count =
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(2), analUid);
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(2), analUid);
Long day3Count =
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(3), analUid);
labelAllocateCoreService.findDailyProcessedCount(
worker.getWorkerId(), workerType, today.minusDays(3), analUid);
long average = (day1Count + day2Count + day3Count) / 3;
DailyHistory history =
DailyHistory.builder()
.day1Ago(day1Count)
.day2Ago(day2Count)
.day3Ago(day3Count)
.average(average)
.build();
DailyHistory.builder()
.day1Ago(day1Count)
.day2Ago(day2Count)
.day3Ago(day3Count)
.average(average)
.build();
worker.setHistory(history);
@@ -155,12 +157,17 @@ public class LabelAllocateService {
return WorkerListResponse.builder().progressInfo(progressInfo).workers(workers).build();
}
public InferenceDetail findInferenceDetail(Integer compareYyyy, Integer targetYyyy, Integer stage) {
public InferenceDetail findInferenceDetail(
Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateCoreService.findInferenceDetail(compareYyyy, targetYyyy, stage);
}
public void allocateMove(String autoType, Integer stage, List<TargetUser> targetUsers, Integer compareYyyy,
Integer targetYyyy) {
public void allocateMove(
String autoType,
Integer stage,
List<TargetUser> targetUsers,
Integer compareYyyy,
Integer targetYyyy) {
Long lastId = null;
Long chargeCnt = targetUsers.stream().mapToLong(TargetUser::getDemand).sum();
@@ -169,7 +176,9 @@ public class LabelAllocateService {
return;
}
List<Long> allIds = labelAllocateCoreService.fetchNextMoveIds(lastId, chargeCnt, compareYyyy, targetYyyy, stage);
List<Long> allIds =
labelAllocateCoreService.fetchNextMoveIds(
lastId, chargeCnt, compareYyyy, targetYyyy, stage);
int index = 0;
for (TargetUser target : targetUsers) {
int end = index + target.getDemand();
@@ -180,7 +189,8 @@ public class LabelAllocateService {
}
}
public LabelerDetail findLabelerDetail(String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public LabelerDetail findLabelerDetail(
String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateCoreService.findLabelerDetail(userId, compareYyyy, targetYyyy, stage);
}
}

View File

@@ -20,18 +20,21 @@ public class LabelAllocateCoreService {
private final LabelAllocateRepository labelAllocateRepository;
public List<Long> fetchNextIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public List<Long> fetchNextIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.fetchNextIds(lastId, batchSize, compareYyyy, targetYyyy, stage);
}
public void assignOwner(List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public void assignOwner(
List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
labelAllocateRepository.assignOwner(ids, userId, compareYyyy, targetYyyy, stage);
}
public List<LabelAllocateDto.Basic> findAssignedLabelerList(Integer compareYyyy, Integer targetYyyy, Integer stage) {
public List<LabelAllocateDto.Basic> findAssignedLabelerList(
Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.findAssignedLabelerList(compareYyyy, targetYyyy, stage).stream()
.map(LabelingAssignmentEntity::toDto)
.toList();
.map(LabelingAssignmentEntity::toDto)
.toList();
}
public Long findLabelUnAssignedCnt(Integer stage, Integer compareYyyy, Integer targetYyyy) {
@@ -47,13 +50,13 @@ public class LabelAllocateCoreService {
}
public List<WorkerStatistics> findWorkerStatistics(
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
return labelAllocateRepository.findWorkerStatistics(
analUid, workerType, searchName, searchEmployeeNo, sortType);
analUid, workerType, searchName, searchEmployeeNo, sortType);
}
public WorkProgressInfo findWorkProgressInfo(Long analUid) {
@@ -61,7 +64,7 @@ public class LabelAllocateCoreService {
}
public Long findDailyProcessedCount(
String workerId, String workerType, LocalDate date, Long analUid) {
String workerId, String workerType, LocalDate date, Long analUid) {
return labelAllocateRepository.findDailyProcessedCount(workerId, workerType, date, analUid);
}
@@ -69,7 +72,8 @@ public class LabelAllocateCoreService {
labelAllocateRepository.assignInspectorBulk(assignmentUids, inspectorUid);
}
public InferenceDetail findInferenceDetail(Integer compareYyyy, Integer targetYyyy, Integer stage) {
public InferenceDetail findInferenceDetail(
Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.findInferenceDetail(compareYyyy, targetYyyy, stage);
}
@@ -77,15 +81,18 @@ public class LabelAllocateCoreService {
return labelAllocateRepository.findLabelUnCompleteCnt(analUid);
}
public List<Long> fetchNextMoveIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.fetchNextMoveIds(lastId, batchSize, compareYyyy, targetYyyy, stage);
public List<Long> fetchNextMoveIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.fetchNextMoveIds(
lastId, batchSize, compareYyyy, targetYyyy, stage);
}
public void assignOwnerMove(List<Long> sub, String userId) {
labelAllocateRepository.assignOwnerMove(sub, userId);
}
public LabelerDetail findLabelerDetail(String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public LabelerDetail findLabelerDetail(
String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return labelAllocateRepository.findLabelerDetail(userId, compareYyyy, targetYyyy, stage);
}
}

View File

@@ -12,11 +12,14 @@ import java.util.UUID;
public interface LabelAllocateRepositoryCustom {
List<Long> fetchNextIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage);
List<Long> fetchNextIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage);
void assignOwner(List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage);
void assignOwner(
List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage);
List<LabelingAssignmentEntity> findAssignedLabelerList(Integer compareYyyy, Integer targetYyyy, Integer stage);
List<LabelingAssignmentEntity> findAssignedLabelerList(
Integer compareYyyy, Integer targetYyyy, Integer stage);
Long findLabelUnAssignedCnt(Integer stage, Integer compareYyyy, Integer targetYyyy);
@@ -26,7 +29,7 @@ public interface LabelAllocateRepositoryCustom {
// 작업자 통계 조회
List<WorkerStatistics> findWorkerStatistics(
Long analUid, String workerType, String searchName, String searchEmployeeNo, String sortType);
Long analUid, String workerType, String searchName, String searchEmployeeNo, String sortType);
// 작업 진행 현황 조회
WorkProgressInfo findWorkProgressInfo(Long analUid);
@@ -38,11 +41,13 @@ public interface LabelAllocateRepositoryCustom {
InferenceDetail findInferenceDetail(Integer compareYyyy, Integer targetYyyy, Integer stage);
public List<Long> fetchNextMoveIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage);
public List<Long> fetchNextMoveIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage);
Long findLabelUnCompleteCnt(Long analUid);
void assignOwnerMove(List<Long> sub, String userId);
LabelerDetail findLabelerDetail(String userId, Integer compareYyyy, Integer targetYyyy, Integer stage);
LabelerDetail findLabelerDetail(
String userId, Integer compareYyyy, Integer targetYyyy, Integer stage);
}

View File

@@ -46,40 +46,41 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
private final JPAQueryFactory queryFactory;
@PersistenceContext
private EntityManager em;
@PersistenceContext private EntityManager em;
@Override
public List<Long> fetchNextIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public List<Long> fetchNextIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return queryFactory
.select(mapSheetAnalDataInferenceGeomEntity.geoUid)
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
lastId == null ? null : mapSheetAnalDataInferenceGeomEntity.geoUid.gt(lastId),
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.isNull())
.orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
.limit(batchSize)
.fetch();
.select(mapSheetAnalDataInferenceGeomEntity.geoUid)
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
lastId == null ? null : mapSheetAnalDataInferenceGeomEntity.geoUid.gt(lastId),
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.isNull())
.orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
.limit(batchSize)
.fetch();
}
@Override
public void assignOwner(List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public void assignOwner(
List<Long> ids, String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
// analUid로 분석 정보 조회
MapSheetAnalDataInferenceEntity analEntity =
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage)
)
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(
mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage))
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
if (Objects.isNull(analEntity)) {
throw new EntityNotFoundException("MapSheetAnalEntity not found for analUid: ");
@@ -87,17 +88,17 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
// data_geom 테이블에 label state 를 ASSIGNED 로 update
queryFactory
.update(mapSheetAnalDataInferenceGeomEntity)
.set(mapSheetAnalDataInferenceGeomEntity.labelState, LabelState.ASSIGNED.getId())
.set(mapSheetAnalDataInferenceGeomEntity.labelStateDttm, ZonedDateTime.now())
.set(mapSheetAnalDataInferenceGeomEntity.testState, InspectState.UNCONFIRM.getId())
.set(mapSheetAnalDataInferenceGeomEntity.testStateDttm, ZonedDateTime.now())
.where(mapSheetAnalDataInferenceGeomEntity.geoUid.in(ids))
.execute();
.update(mapSheetAnalDataInferenceGeomEntity)
.set(mapSheetAnalDataInferenceGeomEntity.labelState, LabelState.ASSIGNED.getId())
.set(mapSheetAnalDataInferenceGeomEntity.labelStateDttm, ZonedDateTime.now())
.set(mapSheetAnalDataInferenceGeomEntity.testState, InspectState.UNCONFIRM.getId())
.set(mapSheetAnalDataInferenceGeomEntity.testStateDttm, ZonedDateTime.now())
.where(mapSheetAnalDataInferenceGeomEntity.geoUid.in(ids))
.execute();
// 라벨러 할당 테이블에 insert
String sql =
"""
"""
insert into tb_labeling_assignment
(assignment_uid, inference_geom_uid, worker_uid,
work_state, assign_group_id, anal_uid)
@@ -106,13 +107,13 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
for (Long geoUid : ids) {
em.createNativeQuery(sql)
.setParameter(1, UUID.randomUUID())
.setParameter(2, geoUid)
.setParameter(3, userId)
.setParameter(4, LabelState.ASSIGNED.getId())
.setParameter(5, "")
.setParameter(6, analEntity.getAnalUid())
.executeUpdate();
.setParameter(1, UUID.randomUUID())
.setParameter(2, geoUid)
.setParameter(3, userId)
.setParameter(4, LabelState.ASSIGNED.getId())
.setParameter(5, "")
.setParameter(6, analEntity.getAnalUid())
.executeUpdate();
}
em.flush();
@@ -120,91 +121,92 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
}
@Override
public List<LabelingAssignmentEntity> findAssignedLabelerList(Integer compareYyyy, Integer targetYyyy, Integer stage) {
public List<LabelingAssignmentEntity> findAssignedLabelerList(
Integer compareYyyy, Integer targetYyyy, Integer stage) {
// analUid로 분석 정보 조회
MapSheetAnalDataInferenceEntity analEntity =
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage)
)
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(
mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage))
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
if (Objects.isNull(analEntity)) {
throw new EntityNotFoundException("MapSheetAnalEntity not found for analUid: ");
}
return queryFactory
.selectFrom(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analEntity.getAnalUid()),
labelingAssignmentEntity.workState.eq(LabelState.ASSIGNED.getId()),
labelingAssignmentEntity.inspectorUid.isNull())
.orderBy(labelingAssignmentEntity.workerUid.asc())
.fetch();
.selectFrom(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analEntity.getAnalUid()),
labelingAssignmentEntity.workState.eq(LabelState.ASSIGNED.getId()),
labelingAssignmentEntity.inspectorUid.isNull())
.orderBy(labelingAssignmentEntity.workerUid.asc())
.fetch();
}
@Override
public Long findLabelUnAssignedCnt(Integer stage, Integer compareYyyy, Integer targetYyyy) {
return queryFactory
.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.isNull())
.fetchOne();
.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.isNull())
.fetchOne();
}
@Override
public void assignInspector(UUID assignmentUid, String inspectorUid) {
queryFactory
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.inspectorUid, inspectorUid)
.where(labelingAssignmentEntity.assignmentUid.eq(assignmentUid))
.execute();
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.inspectorUid, inspectorUid)
.where(labelingAssignmentEntity.assignmentUid.eq(assignmentUid))
.execute();
}
@Override
public List<UserList> availUserList(String role) {
return queryFactory
.select(
Projections.constructor(
LabelAllocateDto.UserList.class,
memberEntity.userRole,
memberEntity.employeeNo,
memberEntity.name))
.from(memberEntity)
.where(
memberEntity.userRole.eq(role),
memberEntity.status.eq(com.kamco.cd.kamcoback.common.enums.StatusType.ACTIVE.getId()))
.orderBy(memberEntity.name.asc())
.fetch();
.select(
Projections.constructor(
LabelAllocateDto.UserList.class,
memberEntity.userRole,
memberEntity.employeeNo,
memberEntity.name))
.from(memberEntity)
.where(
memberEntity.userRole.eq(role),
memberEntity.status.eq(com.kamco.cd.kamcoback.common.enums.StatusType.ACTIVE.getId()))
.orderBy(memberEntity.name.asc())
.fetch();
}
@Override
public List<WorkerStatistics> findWorkerStatistics(
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
Long analUid,
String workerType,
String searchName,
String searchEmployeeNo,
String sortType) {
// 작업자 유형에 따른 필드 선택
StringExpression workerIdField =
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid
: labelingAssignmentEntity.workerUid;
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid
: labelingAssignmentEntity.workerUid;
BooleanExpression workerCondition =
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid.isNotNull()
: labelingAssignmentEntity.workerUid.isNotNull();
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid.isNotNull()
: labelingAssignmentEntity.workerUid.isNotNull();
// 검색 조건
BooleanExpression searchCondition = null;
@@ -218,49 +220,49 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
// 완료, 스킵, 남은 작업 계산
NumberExpression<Long> completedSum =
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq("DONE"))
.then(1L)
.otherwise(0L)
.sum();
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq("DONE"))
.then(1L)
.otherwise(0L)
.sum();
NumberExpression<Long> skippedSum =
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq("SKIP"))
.then(1L)
.otherwise(0L)
.sum();
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq("SKIP"))
.then(1L)
.otherwise(0L)
.sum();
NumberExpression<Long> remainingSum =
new CaseBuilder()
.when(
labelingAssignmentEntity
.workState
.notIn("DONE", "SKIP")
.and(labelingAssignmentEntity.workState.isNotNull()))
.then(1L)
.otherwise(0L)
.sum();
new CaseBuilder()
.when(
labelingAssignmentEntity
.workState
.notIn("DONE", "SKIP")
.and(labelingAssignmentEntity.workState.isNotNull()))
.then(1L)
.otherwise(0L)
.sum();
// 기본 통계 조회 쿼리
var baseQuery =
queryFactory
.select(
workerIdField,
memberEntity.name,
workerIdField.count(),
completedSum,
skippedSum,
remainingSum,
labelingAssignmentEntity.stagnationYn.max())
.from(labelingAssignmentEntity)
.leftJoin(memberEntity)
.on(
"REVIEWER".equals(workerType)
? memberEntity.employeeNo.eq(labelingAssignmentEntity.inspectorUid)
: memberEntity.employeeNo.eq(labelingAssignmentEntity.workerUid))
.where(labelingAssignmentEntity.analUid.eq(analUid), workerCondition, searchCondition)
.groupBy(workerIdField, memberEntity.name);
queryFactory
.select(
workerIdField,
memberEntity.name,
workerIdField.count(),
completedSum,
skippedSum,
remainingSum,
labelingAssignmentEntity.stagnationYn.max())
.from(labelingAssignmentEntity)
.leftJoin(memberEntity)
.on(
"REVIEWER".equals(workerType)
? memberEntity.employeeNo.eq(labelingAssignmentEntity.inspectorUid)
: memberEntity.employeeNo.eq(labelingAssignmentEntity.workerUid))
.where(labelingAssignmentEntity.analUid.eq(analUid), workerCondition, searchCondition)
.groupBy(workerIdField, memberEntity.name);
// 정렬 조건 적용
if (sortType != null) {
@@ -286,132 +288,132 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
// 결과를 DTO로 변환
return baseQuery.fetch().stream()
.map(
tuple -> {
Character maxStagnationYn = tuple.get(labelingAssignmentEntity.stagnationYn.max());
return WorkerStatistics.builder()
.workerId(tuple.get(workerIdField))
.workerName(tuple.get(memberEntity.name))
.workerType(workerType)
.totalAssigned(tuple.get(workerIdField.count()))
.completed(tuple.get(completedSum))
.skipped(tuple.get(skippedSum))
.remaining(tuple.get(remainingSum))
.history(null) // 3일 이력은 Service에서 채움
.isStagnated(maxStagnationYn != null && maxStagnationYn == 'Y')
.build();
})
.toList();
.map(
tuple -> {
Character maxStagnationYn = tuple.get(labelingAssignmentEntity.stagnationYn.max());
return WorkerStatistics.builder()
.workerId(tuple.get(workerIdField))
.workerName(tuple.get(memberEntity.name))
.workerType(workerType)
.totalAssigned(tuple.get(workerIdField.count()))
.completed(tuple.get(completedSum))
.skipped(tuple.get(skippedSum))
.remaining(tuple.get(remainingSum))
.history(null) // 3일 이력은 Service에서 채움
.isStagnated(maxStagnationYn != null && maxStagnationYn == 'Y')
.build();
})
.toList();
}
@Override
public WorkProgressInfo findWorkProgressInfo(Long analUid) {
// 전체 배정 건수
Long totalAssigned =
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(labelingAssignmentEntity.analUid.eq(analUid))
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(labelingAssignmentEntity.analUid.eq(analUid))
.fetchOne();
// 완료 + 스킵 건수
Long completedCount =
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workState.in("DONE", "SKIP"))
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workState.in("DONE", "SKIP"))
.fetchOne();
// 투입된 라벨러 수 (고유한 worker_uid 수)
Long labelerCount =
queryFactory
.select(labelingAssignmentEntity.workerUid.countDistinct())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workerUid.isNotNull())
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.workerUid.countDistinct())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workerUid.isNotNull())
.fetchOne();
// 남은 라벨링 작업 데이터 수
Long remainingLabelCount =
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workerUid.isNotNull(),
labelingAssignmentEntity.workState.notIn("DONE", "SKIP"))
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.workerUid.isNotNull(),
labelingAssignmentEntity.workState.notIn("DONE", "SKIP"))
.fetchOne();
// 투입된 검수자 수 (고유한 inspector_uid 수)
Long inspectorCount =
queryFactory
.select(labelingAssignmentEntity.inspectorUid.countDistinct())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.inspectorUid.isNotNull())
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.inspectorUid.countDistinct())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.inspectorUid.isNotNull())
.fetchOne();
// 남은 검수 작업 데이터 수
Long remainingInspectCount =
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.inspectorUid.isNotNull(),
labelingAssignmentEntity.workState.notIn("DONE"))
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
labelingAssignmentEntity.inspectorUid.isNotNull(),
labelingAssignmentEntity.workState.notIn("DONE"))
.fetchOne();
// 진행률 계산
double progressRate = 0.0;
if (totalAssigned != null && totalAssigned > 0) {
progressRate =
(completedCount != null ? completedCount.doubleValue() : 0.0) / totalAssigned * 100;
(completedCount != null ? completedCount.doubleValue() : 0.0) / totalAssigned * 100;
}
// 작업 상태 판단 (간단하게 진행률 100%면 종료, 아니면 진행중)
String workStatus = (progressRate >= 100.0) ? "종료" : "진행중";
return WorkProgressInfo.builder()
.labelingProgressRate(progressRate)
.workStatus(workStatus)
.completedCount(completedCount != null ? completedCount : 0L)
.totalAssignedCount(totalAssigned != null ? totalAssigned : 0L)
.labelerCount(labelerCount != null ? labelerCount : 0L)
.remainingLabelCount(remainingLabelCount != null ? remainingLabelCount : 0L)
.inspectorCount(inspectorCount != null ? inspectorCount : 0L)
.remainingInspectCount(remainingInspectCount != null ? remainingInspectCount : 0L)
.build();
.labelingProgressRate(progressRate)
.workStatus(workStatus)
.completedCount(completedCount != null ? completedCount : 0L)
.totalAssignedCount(totalAssigned != null ? totalAssigned : 0L)
.labelerCount(labelerCount != null ? labelerCount : 0L)
.remainingLabelCount(remainingLabelCount != null ? remainingLabelCount : 0L)
.inspectorCount(inspectorCount != null ? inspectorCount : 0L)
.remainingInspectCount(remainingInspectCount != null ? remainingInspectCount : 0L)
.build();
}
@Override
public Long findDailyProcessedCount(
String workerId, String workerType, LocalDate date, Long analUid) {
String workerId, String workerType, LocalDate date, Long analUid) {
// 해당 날짜의 시작과 끝 시간
ZonedDateTime startOfDay = date.atStartOfDay(ZoneId.systemDefault());
ZonedDateTime endOfDay = date.atTime(LocalTime.MAX).atZone(ZoneId.systemDefault());
BooleanExpression workerCondition =
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid.eq(workerId)
: labelingAssignmentEntity.workerUid.eq(workerId);
"REVIEWER".equals(workerType)
? labelingAssignmentEntity.inspectorUid.eq(workerId)
: labelingAssignmentEntity.workerUid.eq(workerId);
Long count =
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
workerCondition,
labelingAssignmentEntity.workState.in(
LabelState.DONE.getId(), LabelState.SKIP.getId()),
labelingAssignmentEntity.modifiedDate.between(startOfDay, endOfDay))
.fetchOne();
queryFactory
.select(labelingAssignmentEntity.count())
.from(labelingAssignmentEntity)
.where(
labelingAssignmentEntity.analUid.eq(analUid),
workerCondition,
labelingAssignmentEntity.workState.in(
LabelState.DONE.getId(), LabelState.SKIP.getId()),
labelingAssignmentEntity.modifiedDate.between(startOfDay, endOfDay))
.fetchOne();
return count != null ? count : 0L;
}
@@ -419,172 +421,175 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
@Override
public void assignInspectorBulk(List<UUID> assignmentUids, String inspectorUid) {
queryFactory
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.inspectorUid, inspectorUid)
.where(labelingAssignmentEntity.assignmentUid.in(assignmentUids))
.execute();
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.inspectorUid, inspectorUid)
.where(labelingAssignmentEntity.assignmentUid.in(assignmentUids))
.execute();
em.clear();
}
@Override
public InferenceDetail findInferenceDetail(Integer compareYyyy, Integer targetYyyy, Integer stage) {
public InferenceDetail findInferenceDetail(
Integer compareYyyy, Integer targetYyyy, Integer stage) {
// analUid로 분석 정보 조회
MapSheetAnalDataInferenceEntity analEntity =
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage)
)
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(
mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage))
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
return queryFactory
.select(
Projections.constructor(
InferenceDetail.class,
mapSheetAnalEntity.analTitle,
Expressions.numberTemplate(Integer.class, "{0}", 4),
mapSheetAnalEntity.gukyuinApplyDttm,
mapSheetAnalEntity.detectingCnt,
labelingAssignmentEntity.workerUid.countDistinct(),
labelingAssignmentEntity.inspectorUid.countDistinct()))
.from(mapSheetAnalEntity)
.innerJoin(labelingAssignmentEntity)
.on(mapSheetAnalEntity.id.eq(labelingAssignmentEntity.analUid))
.where(mapSheetAnalEntity.id.eq(analEntity.getAnalUid()))
.groupBy(
mapSheetAnalEntity.analTitle,
mapSheetAnalEntity.gukyuinApplyDttm,
mapSheetAnalEntity.detectingCnt)
.fetchOne();
.select(
Projections.constructor(
InferenceDetail.class,
mapSheetAnalEntity.analTitle,
Expressions.numberTemplate(Integer.class, "{0}", 4),
mapSheetAnalEntity.gukyuinApplyDttm,
mapSheetAnalEntity.detectingCnt,
labelingAssignmentEntity.workerUid.countDistinct(),
labelingAssignmentEntity.inspectorUid.countDistinct()))
.from(mapSheetAnalEntity)
.innerJoin(labelingAssignmentEntity)
.on(mapSheetAnalEntity.id.eq(labelingAssignmentEntity.analUid))
.where(mapSheetAnalEntity.id.eq(analEntity.getAnalUid()))
.groupBy(
mapSheetAnalEntity.analTitle,
mapSheetAnalEntity.gukyuinApplyDttm,
mapSheetAnalEntity.detectingCnt)
.fetchOne();
}
@Override
public List<Long> fetchNextMoveIds(Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public List<Long> fetchNextMoveIds(
Long lastId, Long batchSize, Integer compareYyyy, Integer targetYyyy, Integer stage) {
return queryFactory
.select(mapSheetAnalDataInferenceGeomEntity.geoUid)
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
// mapSheetAnalDataGeomEntity.pnu.isNotNull(), //TODO: Mockup 진행 이후 확인하기
lastId == null ? null : mapSheetAnalDataInferenceGeomEntity.geoUid.gt(lastId),
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.in(
LabelState.ASSIGNED.getId(), LabelState.SKIP.getId()))
.orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
.limit(batchSize)
.fetch();
.select(mapSheetAnalDataInferenceGeomEntity.geoUid)
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
// mapSheetAnalDataGeomEntity.pnu.isNotNull(), //TODO: Mockup 진행 이후 확인하기
lastId == null ? null : mapSheetAnalDataInferenceGeomEntity.geoUid.gt(lastId),
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceGeomEntity.stage.eq(stage),
mapSheetAnalDataInferenceGeomEntity.labelState.in(
LabelState.ASSIGNED.getId(), LabelState.SKIP.getId()))
.orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
.limit(batchSize)
.fetch();
}
@Override
public Long findLabelUnCompleteCnt(Long analUid) {
MapSheetAnalEntity entity =
queryFactory
.selectFrom(mapSheetAnalEntity)
.where(mapSheetAnalEntity.id.eq(analUid))
.fetchOne();
queryFactory
.selectFrom(mapSheetAnalEntity)
.where(mapSheetAnalEntity.id.eq(analUid))
.fetchOne();
if (Objects.isNull(entity)) {
throw new EntityNotFoundException();
}
return queryFactory
.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(entity.getCompareYyyy()),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(entity.getTargetYyyy()),
mapSheetAnalDataInferenceGeomEntity.stage.eq(4), // TODO: 회차 컬럼을 가져와야 할 듯?
mapSheetAnalDataInferenceGeomEntity.labelState.in(
LabelState.ASSIGNED.getId(), LabelState.SKIP.getId()))
.fetchOne();
.select(mapSheetAnalDataInferenceGeomEntity.geoUid.count())
.from(mapSheetAnalDataInferenceGeomEntity)
.where(
mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(entity.getCompareYyyy()),
mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(entity.getTargetYyyy()),
mapSheetAnalDataInferenceGeomEntity.stage.eq(4), // TODO: 회차 컬럼을 가져와야 할 듯?
mapSheetAnalDataInferenceGeomEntity.labelState.in(
LabelState.ASSIGNED.getId(), LabelState.SKIP.getId()))
.fetchOne();
}
@Transactional
@Override
public void assignOwnerMove(List<Long> sub, String userId) {
queryFactory
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.workerUid, userId)
.where(labelingAssignmentEntity.inferenceGeomUid.in(sub))
.execute();
.update(labelingAssignmentEntity)
.set(labelingAssignmentEntity.workerUid, userId)
.where(labelingAssignmentEntity.inferenceGeomUid.in(sub))
.execute();
em.clear();
}
@Override
public LabelerDetail findLabelerDetail(String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
public LabelerDetail findLabelerDetail(
String userId, Integer compareYyyy, Integer targetYyyy, Integer stage) {
NumberExpression<Long> assignedCnt =
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.ASSIGNED.getId()))
.then(1L)
.otherwise((Long) null)
.count();
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.ASSIGNED.getId()))
.then(1L)
.otherwise((Long) null)
.count();
NumberExpression<Long> skipCnt =
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.SKIP.getId()))
.then(1L)
.otherwise((Long) null)
.count();
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.SKIP.getId()))
.then(1L)
.otherwise((Long) null)
.count();
NumberExpression<Long> completeCnt =
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.COMPLETE.getId()))
.then(1L)
.otherwise((Long) null)
.count();
new CaseBuilder()
.when(labelingAssignmentEntity.workState.eq(LabelState.COMPLETE.getId()))
.then(1L)
.otherwise((Long) null)
.count();
NumberExpression<Double> percent =
new CaseBuilder()
.when(completeCnt.eq(0L))
.then(0.0)
.otherwise(
Expressions.numberTemplate(
Double.class,
"round({0} / {1}, 2)",
labelingAssignmentEntity.count(),
completeCnt));
new CaseBuilder()
.when(completeCnt.eq(0L))
.then(0.0)
.otherwise(
Expressions.numberTemplate(
Double.class,
"round({0} / {1}, 2)",
labelingAssignmentEntity.count(),
completeCnt));
// analUid로 분석 정보 조회
MapSheetAnalDataInferenceEntity analEntity =
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage)
)
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
queryFactory
.selectFrom(mapSheetAnalDataInferenceEntity)
.where(
mapSheetAnalDataInferenceEntity.compareYyyy.eq(compareYyyy),
mapSheetAnalDataInferenceEntity.targetYyyy.eq(targetYyyy),
mapSheetAnalDataInferenceEntity.stage.eq(stage))
.orderBy(mapSheetAnalDataInferenceEntity.analUid.asc())
.limit(1)
.fetchOne();
if (Objects.isNull(analEntity)) {
throw new EntityNotFoundException("MapSheetAnalEntity not found for analUid: ");
}
return queryFactory
.select(
Projections.constructor(
LabelerDetail.class,
memberEntity.userRole,
memberEntity.name,
memberEntity.employeeNo,
assignedCnt,
skipCnt,
completeCnt,
percent))
.from(memberEntity)
.innerJoin(labelingAssignmentEntity)
.on(
memberEntity.employeeNo.eq(labelingAssignmentEntity.workerUid),
labelingAssignmentEntity.analUid.eq(analEntity.getAnalUid()))
.where(memberEntity.employeeNo.eq(userId))
.groupBy(memberEntity.userRole, memberEntity.name, memberEntity.employeeNo)
.fetchOne();
.select(
Projections.constructor(
LabelerDetail.class,
memberEntity.userRole,
memberEntity.name,
memberEntity.employeeNo,
assignedCnt,
skipCnt,
completeCnt,
percent))
.from(memberEntity)
.innerJoin(labelingAssignmentEntity)
.on(
memberEntity.employeeNo.eq(labelingAssignmentEntity.workerUid),
labelingAssignmentEntity.analUid.eq(analEntity.getAnalUid()))
.where(memberEntity.employeeNo.eq(userId))
.groupBy(memberEntity.userRole, memberEntity.name, memberEntity.employeeNo)
.fetchOne();
}
}

View File

@@ -1,23 +1,11 @@
package com.kamco.cd.kamcoback.postgres.repository.label;
import static com.kamco.cd.kamcoback.postgres.entity.QLabelingAssignmentEntity.labelingAssignmentEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapInkx5kEntity.mapInkx5kEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceEntity.mapSheetAnalDataInferenceEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceGeomEntity.mapSheetAnalDataInferenceGeomEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalEntity.mapSheetAnalEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngEntity.mapSheetMngEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngHstEntity.mapSheetMngHstEntity;
import static com.kamco.cd.kamcoback.postgres.entity.QMemberEntity.memberEntity;
import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.LabelState;
import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.UserList;
import com.kamco.cd.kamcoback.label.dto.LabelWorkDto;
import com.kamco.cd.kamcoback.label.dto.LabelWorkDto.LabelWorkMng;
import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto;
import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.ErrorDataDto;
import com.kamco.cd.kamcoback.postgres.entity.LabelingAssignmentEntity;
import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataGeomEntity;
import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalEntity;
import com.querydsl.core.BooleanBuilder;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.CaseBuilder;
@@ -25,16 +13,9 @@ import com.querydsl.core.types.dsl.Expressions;
import com.querydsl.core.types.dsl.StringExpression;
import com.querydsl.jpa.impl.JPAQueryFactory;
import jakarta.persistence.EntityManager;
import jakarta.persistence.EntityNotFoundException;
import jakarta.persistence.PersistenceContext;
import jakarta.validation.Valid;
import java.time.LocalDate;
import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.time.format.DateTimeFormatter;
import java.util.List;
import java.util.Objects;
import java.util.UUID;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageImpl;
@@ -58,7 +39,6 @@ public class LabelWorkRepositoryImpl extends QuerydslRepositorySupport
this.queryFactory = queryFactory;
}
@Override
public Page<LabelWorkMng> labelWorkMngList(LabelWorkDto.LabelWorkMngSearchReq searchReq) {
@@ -72,69 +52,67 @@ public class LabelWorkRepositoryImpl extends QuerydslRepositorySupport
whereBuilder.and(mapSheetAnalDataInferenceEntity.targetYyyy.eq(searchReq.getDetectYyyy()));
}
//mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id)
// mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id)
whereSubBuilder.and(mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id));
whereSubBuilder.and(
mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id));
if (searchReq.getStrtDttm() != null && ! searchReq.getStrtDttm().isEmpty()
&& searchReq.getEndDttm() != null && ! searchReq.getEndDttm().isEmpty()) {
if (searchReq.getStrtDttm() != null
&& !searchReq.getStrtDttm().isEmpty()
&& searchReq.getEndDttm() != null
&& !searchReq.getEndDttm().isEmpty()) {
//whereSubBuilder.and(mapSheetAnalDataInferenceGeomEntity.labelStateDttm.isNotNull());
// whereSubBuilder.and(mapSheetAnalDataInferenceGeomEntity.labelStateDttm.isNotNull());
whereSubBuilder.and(
Expressions.stringTemplate("to_char({0}, 'YYYYMMDD')", mapSheetAnalDataInferenceGeomEntity.labelStateDttm)
.between(searchReq.getStrtDttm(), searchReq.getEndDttm())
);
Expressions.stringTemplate(
"to_char({0}, 'YYYYMMDD')", mapSheetAnalDataInferenceGeomEntity.labelStateDttm)
.between(searchReq.getStrtDttm(), searchReq.getEndDttm()));
//whereBuilder.and(mapSheetAnalDataInferenceGeomEntity.labelStateDttm.min().isNotNull());
// whereBuilder.and(mapSheetAnalDataInferenceGeomEntity.labelStateDttm.min().isNotNull());
}
List<LabelWorkMng> foundContent =
queryFactory
.select(
Projections.constructor(
LabelWorkMng.class,
mapSheetAnalDataInferenceEntity.compareYyyy,
mapSheetAnalDataInferenceEntity.targetYyyy,
mapSheetAnalDataInferenceEntity.stage,
mapSheetAnalDataInferenceEntity.createdDttm.min(),
mapSheetAnalDataInferenceGeomEntity.dataUid.count(),
mapSheetAnalDataInferenceGeomEntity.dataUid.count(),
new CaseBuilder()
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("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"))
.then(1L)
.otherwise(0L)
.sum(),
mapSheetAnalDataInferenceGeomEntity.labelStateDttm.min()
))
.from(mapSheetAnalDataInferenceEntity)
.innerJoin(mapSheetAnalDataInferenceGeomEntity)
.on(whereSubBuilder)
.where(whereBuilder)
.groupBy(
mapSheetAnalDataInferenceEntity.compareYyyy,
mapSheetAnalDataInferenceEntity.targetYyyy,
mapSheetAnalDataInferenceEntity.stage
)
.orderBy(mapSheetAnalDataInferenceEntity.targetYyyy.desc()
,mapSheetAnalDataInferenceEntity.stage.desc())
.offset(pageable.getOffset())
.limit(pageable.getPageSize())
.fetch();
queryFactory
.select(
Projections.constructor(
LabelWorkMng.class,
mapSheetAnalDataInferenceEntity.compareYyyy,
mapSheetAnalDataInferenceEntity.targetYyyy,
mapSheetAnalDataInferenceEntity.stage,
mapSheetAnalDataInferenceEntity.createdDttm.min(),
mapSheetAnalDataInferenceGeomEntity.dataUid.count(),
mapSheetAnalDataInferenceGeomEntity.dataUid.count(),
new CaseBuilder()
.when(mapSheetAnalDataInferenceGeomEntity.labelState.eq("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"))
.then(1L)
.otherwise(0L)
.sum(),
mapSheetAnalDataInferenceGeomEntity.labelStateDttm.min()))
.from(mapSheetAnalDataInferenceEntity)
.innerJoin(mapSheetAnalDataInferenceGeomEntity)
.on(whereSubBuilder)
.where(whereBuilder)
.groupBy(
mapSheetAnalDataInferenceEntity.compareYyyy,
mapSheetAnalDataInferenceEntity.targetYyyy,
mapSheetAnalDataInferenceEntity.stage)
.orderBy(
mapSheetAnalDataInferenceEntity.targetYyyy.desc(),
mapSheetAnalDataInferenceEntity.stage.desc())
.offset(pageable.getOffset())
.limit(pageable.getPageSize())
.fetch();
/*
Long countQuery =