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추론 진행 현황 수정

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This commit is contained in:
teddy
2026-01-14 17:24:53 +09:00
parent 0f636ee7ce
commit cb326527c4
5 changed files with 568 additions and 525 deletions
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4
src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java
View File

@@ -272,14 +272,14 @@ public class InferenceResultApiController {
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
schema = @Schema(implementation = InferenceStatusDetailDto.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/status/{uuid}")
public ApiResponseDto<InferenceStatusDetailDto> getInferenceStatus(
@io.swagger.v3.oas.annotations.parameters.RequestBody(
description = "추론진행현왕 요청 정보",
description = "추론 진행현황 정보",
required = true)
@PathVariable
UUID uuid) {

286
src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java
View File

@@ -8,7 +8,6 @@ import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import jakarta.validation.constraints.NotBlank;
import jakarta.validation.constraints.NotNull;
import java.time.Duration;
import java.time.LocalDate;
import java.time.ZonedDateTime;
import java.util.Arrays;
@@ -23,7 +22,9 @@ import org.springframework.data.domain.Pageable;
public class InferenceResultDto {
/** 탐지 데이터 옵션 dto */
/**
* 탐지 데이터 옵션 dto
*/
@Getter
@AllArgsConstructor
public enum MapSheetScope implements EnumType {
@@ -52,7 +53,9 @@ public class InferenceResultDto {
}
}
/** 분석대상 도엽 enum */
/**
* 분석대상 도엽 enum
*/
@Getter
@AllArgsConstructor
public enum DetectOption implements EnumType {
@@ -129,7 +132,9 @@ public class InferenceResultDto {
}
}
/** 목록조회 dto */
/**
* 목록조회 dto
*/
@Getter
@Setter
@AllArgsConstructor
@@ -141,11 +146,15 @@ public class InferenceResultDto {
private String status;
private String mapSheetCnt;
private Long detectingCnt;
@JsonFormatDttm private ZonedDateTime startTime;
@JsonFormatDttm private ZonedDateTime endTime;
@JsonFormatDttm private ZonedDateTime elapsedTime;
@JsonFormatDttm
private ZonedDateTime startTime;
@JsonFormatDttm
private ZonedDateTime endTime;
@JsonFormatDttm
private ZonedDateTime elapsedTime;
private Boolean applyYn;
@JsonFormatDttm private ZonedDateTime applyDttm;
@JsonFormatDttm
private ZonedDateTime applyDttm;
@JsonProperty("statusName")
public String statusName() {
@@ -153,7 +162,9 @@ public class InferenceResultDto {
}
}
/** 목록조회 검색 조건 dto */
/**
* 목록조회 검색 조건 dto
*/
@Getter
@Setter
@NoArgsConstructor
@@ -175,7 +186,9 @@ public class InferenceResultDto {
}
}
/** 변화탐지 실행 정보 저장 요청 정보 */
/**
* 변화탐지 실행 정보 저장 요청 정보
*/
@Getter
@Setter
@NoArgsConstructor
@@ -234,142 +247,151 @@ public class InferenceResultDto {
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Schema(name = "InferenceStatusDetailDto", description = "추론(변화탐지) 진행상태")
public static class InferenceStatusDetailDto {
@Schema(description = "탐지대상 도엽수")
private Long detectingCnt;
@Schema(description = "모델1 분석 대기")
private Integer m1PendingJobs;
@Schema(description = "모델2 분석 대기")
private Integer m2PendingJobs;
@Schema(description = "모델3 분석 대기")
private Integer m3PendingJobs;
@Schema(description = "모델1 분석 완료")
private Integer m1CompletedJobs;
@Schema(description = "모델2 분석 완료")
private Integer m2CompletedJobs;
@Schema(description = "모델3 분석 완료")
private Integer m3CompletedJobs;
@Schema(description = "모델1 분석 실패")
private Integer m1FailedJobs;
@Schema(description = "모델2 분석 실패")
private Integer m2FailedJobs;
@Schema(description = "모델3 분석 실패")
private Integer m3FailedJobs;
@Schema(description = "모델1 사용시간 시작일시")
@JsonFormatDttm
ZonedDateTime m1ModelStartDttm;
@Schema(description = "모델2 사용시간 시작일시")
@JsonFormatDttm
ZonedDateTime m2ModelStartDttm;
@Schema(description = "모델3 사용시간 시작일시")
@JsonFormatDttm
ZonedDateTime m3ModelStartDttm;
@Schema(description = "모델1 사용시간 종료일시")
@JsonFormatDttm
ZonedDateTime m1ModelEndDttm;
@Schema(description = "모델2 사용시간 종료일시")
@JsonFormatDttm
ZonedDateTime m2ModelEndDttm;
@Schema(description = "모델3 사용시간 종료일시")
@JsonFormatDttm
ZonedDateTime m3ModelEndDttm;
@Schema(description = "변화탐지 제목")
private String title;
@Schema(description = "비교년도")
private Integer compareYyyy;
@Schema(description = "기준년도")
private Integer targetYyyy;
@Schema(description = "회차")
private Integer stage;
@Schema(description = "변화탐지 시작")
@JsonFormatDttm
private ZonedDateTime inferStartDttm;
@Schema(description = "변화탐지 종료")
@JsonFormatDttm
private ZonedDateTime inferEndDttm;
@Schema(description = "변화탐지 옵션")
private String detectOption;
@Schema(description = "분석도엽")
private String mapSheetScope;
@JsonFormatDttm private ZonedDateTime inferStartDttm;
@JsonFormatDttm private ZonedDateTime inferEndDttm;
private Long detectingCnt = 0L;
private Long detectingEndCnt = 0L;
@JsonFormatDttm private ZonedDateTime m1ModelStartDttm;
@JsonFormatDttm private ZonedDateTime m1ModelEndDttm;
@JsonFormatDttm private ZonedDateTime m2ModelStartDttm;
@JsonFormatDttm private ZonedDateTime m2ModelEndDttm;
@JsonFormatDttm private ZonedDateTime m3ModelStartDttm;
@JsonFormatDttm private ZonedDateTime m3ModelEndDttm;
private String model1Ver;
private String model2Ver;
private String model3Ver;
private String usedServerName;
private String model1VerStatus = "PROCCESING";
private String model1VerStatusName = "진행중";
private String model2VerStatus = "PROCCESING";
private String model2VerStatusName = "진행중";
private String model3VerStatus = "PROCCESING";
private String model3VerStatusName = "진행중";
@Schema(description = "모델1 버전")
private String modelVer1;
@Schema(description = "모델2 버전")
private String modelVer2;
@Schema(description = "모델3 버전")
private String modelVer3;
public InferenceStatusDetailDto(
Long detectingCnt,
Integer m1PendingJobs,
Integer m2PendingJobs,
Integer m3PendingJobs,
Integer m1CompletedJobs,
Integer m2CompletedJobs,
Integer m3CompletedJobs,
Integer m1FailedJobs,
Integer m2FailedJobs,
Integer m3FailedJobs,
ZonedDateTime m1ModelStartDttm,
ZonedDateTime m2ModelStartDttm,
ZonedDateTime m3ModelStartDttm,
ZonedDateTime m1ModelEndDttm,
ZonedDateTime m2ModelEndDttm,
ZonedDateTime m3ModelEndDttm,
String title,
Integer compareYyyy,
Integer targetYyyy,
String detectOption,
String mapSheetScope,
Integer stage,
ZonedDateTime inferStartDttm,
ZonedDateTime inferEndDttm,
Long detectingCnt,
Long detectingEndCnt,
ZonedDateTime m1ModelStartDttm,
ZonedDateTime m1ModelEndDttm,
ZonedDateTime m2ModelStartDttm,
ZonedDateTime m2ModelEndDttm,
ZonedDateTime m3ModelStartDttm,
ZonedDateTime m3ModelEndDttm,
String model1Ver,
String model2Ver,
String model3Ver) {
String detectOption,
String mapSheetScope,
String modelVer1,
String modelVer2,
String modelVer3
) {
this.detectingCnt = detectingCnt;
this.m1PendingJobs = m1PendingJobs;
this.m2PendingJobs = m2PendingJobs;
this.m3PendingJobs = m3PendingJobs;
this.m1CompletedJobs = m1CompletedJobs;
this.m2CompletedJobs = m2CompletedJobs;
this.m3CompletedJobs = m3CompletedJobs;
this.m1FailedJobs = m1FailedJobs;
this.m2FailedJobs = m2FailedJobs;
this.m3FailedJobs = m3FailedJobs;
this.m1ModelStartDttm = m1ModelStartDttm;
this.m2ModelStartDttm = m2ModelStartDttm;
this.m3ModelStartDttm = m3ModelStartDttm;
this.m1ModelEndDttm = m1ModelEndDttm;
this.m2ModelEndDttm = m2ModelEndDttm;
this.m3ModelEndDttm = m3ModelEndDttm;
this.title = title;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.detectOption = detectOption;
this.mapSheetScope = mapSheetScope;
this.stage = stage;
this.inferStartDttm = inferStartDttm;
this.inferEndDttm = inferEndDttm;
this.detectingCnt = detectingCnt;
this.detectingEndCnt = detectingEndCnt;
this.m1ModelStartDttm = m1ModelStartDttm;
this.m1ModelEndDttm = m1ModelEndDttm;
this.m2ModelStartDttm = m2ModelStartDttm;
this.m2ModelEndDttm = m2ModelEndDttm;
this.m3ModelStartDttm = m3ModelStartDttm;
this.m3ModelEndDttm = m3ModelEndDttm;
this.model1Ver = model1Ver;
this.model2Ver = model2Ver;
this.model3Ver = model3Ver;
this.detectOption = detectOption;
this.mapSheetScope = mapSheetScope;
this.modelVer1 = modelVer1;
this.modelVer2 = modelVer2;
this.modelVer3 = modelVer3;
}
if (this.detectingEndCnt == null) {
this.detectingEndCnt = 0L;
@JsonProperty("progress")
private int getProgress() {
long tiles = this.detectingCnt; // 도엽수
int models = 3; // 모델 개수
int completed = this.m1CompletedJobs + this.m2CompletedJobs + this.m3CompletedJobs + this.m1FailedJobs + this.m2FailedJobs + this.m3FailedJobs; // 완료수
long total = tiles * models; // 전체 작업량
return (int) ((completed * 100L) / total);
}
@JsonProperty("detectOptionName")
private String getDetectOptionName() {
return DetectOption.getDescByCode(this.detectOption);
}
@JsonProperty("mapSheetScopeName")
private String getMapSheetScope() {
return MapSheetScope.getDescByCode(this.mapSheetScope);
}
}
public String getDetectOptionName() {
if (this.detectOption.equals("EXCL")) {
return "추론제외";
}
return "이전 년도 도엽 사용";
}
public String getMapSheetScopeName() {
if (this.mapSheetScope.equals("ALL")) {
return "전체";
}
return "부분";
}
public double getDetectingRate() {
if (this.detectingCnt == null || this.detectingCnt == 0L) {
return 0.0;
}
if (this.detectingEndCnt == null) {
this.detectingEndCnt = 0L;
}
return (double) (this.detectingEndCnt / this.detectingCnt) * 100.0;
}
public String getM1Duration() {
if (this.m1ModelStartDttm == null || this.m1ModelEndDttm == null) {
return "00:00:00";
}
Duration duration = Duration.between(m1ModelStartDttm, m1ModelEndDttm);
long hours = duration.toHours();
long minutes = duration.toMinutesPart();
long seconds = duration.toSecondsPart();
return String.format("%02d:%02d:%02d", hours, minutes, seconds);
}
public String getM2Duration() {
if (this.m2ModelStartDttm == null || this.m2ModelEndDttm == null) {
return "00:00:00";
}
Duration duration = Duration.between(this.m2ModelStartDttm, this.m2ModelEndDttm);
long hours = duration.toHours();
long minutes = duration.toMinutesPart();
long seconds = duration.toSecondsPart();
return String.format("%02d:%02d:%02d", hours, minutes, seconds);
}
public String getM3Duration() {
if (this.m3ModelStartDttm == null || this.m3ModelEndDttm == null) {
return "00:00:00";
}
Duration duration = Duration.between(this.m3ModelStartDttm, this.m3ModelEndDttm);
long hours = duration.toHours();
long minutes = duration.toMinutesPart();
long seconds = duration.toSecondsPart();
return String.format("%02d:%02d:%02d", hours, minutes, seconds);
}
}
@Getter
@Setter
@@ -378,9 +400,12 @@ public class InferenceResultDto {
public static class InferenceServerStatusDto {
private String serverName;
@JsonIgnore private float cpu_user;
@JsonIgnore private float cpu_system;
@JsonIgnore private float memused;
@JsonIgnore
private float cpu_user;
@JsonIgnore
private float cpu_system;
@JsonIgnore
private float memused;
private Long kbmemused;
private float gpuUtil;
@@ -453,6 +478,15 @@ public class InferenceResultDto {
}
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class InferenceStatusDetailDto2 {
InferenceServerStatusDto serverStatus;
}
@Getter
@Setter
@AllArgsConstructor

24
src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java
View File

@@ -305,7 +305,8 @@ public class InferenceResultService {
// 4) 응답 파싱
try {
List<Map<String, Object>> list =
objectMapper.readValue(result.body(), new TypeReference<>() {});
objectMapper.readValue(result.body(), new TypeReference<>() {
});
if (list.isEmpty()) {
throw new IllegalStateException("Inference response is empty");
@@ -463,23 +464,14 @@ public class InferenceResultService {
return inferenceResultCoreService.getInferenceServerStatusList();
}
/**
* 추론 진행 현황 상세
*
* @param uuid
* @return
*/
public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
List<InferenceServerStatusDto> servers =
inferenceResultCoreService.getInferenceServerStatusList();
String serverNames = "";
for (InferenceServerStatusDto server : servers) {
if (serverNames.equals("")) {
serverNames = server.getServerName();
} else {
serverNames = serverNames + "," + server.getServerName();
}
}
InferenceStatusDetailDto dto = inferenceResultCoreService.getInferenceStatus(uuid);
dto.setUsedServerName(serverNames);
return dto;
}

14
src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java
View File

@@ -268,8 +268,7 @@ public class InferenceResultCoreService {
private void applyModelUpdate(MapSheetLearnEntity entity, SaveInferenceAiDto request) {
switch (request.getType()) {
case "M1" ->
applyModelFields(
case "M1" -> applyModelFields(
request,
entity::setM1ModelBatchId,
entity::setM1ModelStartDttm,
@@ -278,8 +277,7 @@ public class InferenceResultCoreService {
entity::setM1RunningJobs,
entity::setM1CompletedJobs,
entity::setM1FailedJobs);
case "M2" ->
applyModelFields(
case "M2" -> applyModelFields(
request,
entity::setM2ModelBatchId,
entity::setM2ModelStartDttm,
@@ -288,8 +286,7 @@ public class InferenceResultCoreService {
entity::setM2RunningJobs,
entity::setM2CompletedJobs,
entity::setM2FailedJobs);
case "M3" ->
applyModelFields(
case "M3" -> applyModelFields(
request,
entity::setM3ModelBatchId,
entity::setM3ModelStartDttm,
@@ -326,6 +323,11 @@ public class InferenceResultCoreService {
}
}
/**
* 서버 정보 조회
*
* @return
*/
public List<InferenceServerStatusDto> getInferenceServerStatusList() {
return mapSheetLearnRepository.getInferenceServerStatusList();
}

35
src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java
View File

@@ -150,6 +150,12 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
.fetchOne());
}
/**
* 추론 실행 진행 현황
*
* @param uuid
* @return
*/
@Override
public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
@@ -164,21 +170,30 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
.select(
Projections.constructor(
InferenceStatusDetailDto.class,
mapSheetLearnEntity.detectingCnt,
mapSheetLearnEntity.m1PendingJobs,
mapSheetLearnEntity.m2PendingJobs,
mapSheetLearnEntity.m3PendingJobs,
mapSheetLearnEntity.m1CompletedJobs,
mapSheetLearnEntity.m2CompletedJobs,
mapSheetLearnEntity.m3CompletedJobs,
mapSheetLearnEntity.m1FailedJobs,
mapSheetLearnEntity.m2FailedJobs,
mapSheetLearnEntity.m3FailedJobs,
mapSheetLearnEntity.m1ModelStartDttm,
mapSheetLearnEntity.m2ModelStartDttm,
mapSheetLearnEntity.m3ModelStartDttm,
mapSheetLearnEntity.m1ModelEndDttm,
mapSheetLearnEntity.m2ModelEndDttm,
mapSheetLearnEntity.m3ModelEndDttm,
mapSheetLearnEntity.title,
mapSheetLearnEntity.compareYyyy,
mapSheetLearnEntity.targetYyyy,
mapSheetLearnEntity.detectOption,
mapSheetLearnEntity.mapSheetScope,
mapSheetLearnEntity.stage,
mapSheetLearnEntity.inferStartDttm,
mapSheetLearnEntity.inferEndDttm,
mapSheetLearnEntity.detectingCnt,
mapSheetLearnEntity.detectEndCnt,
mapSheetLearnEntity.m1ModelStartDttm,
mapSheetLearnEntity.m1ModelEndDttm,
mapSheetLearnEntity.m2ModelStartDttm,
mapSheetLearnEntity.m2ModelEndDttm,
mapSheetLearnEntity.m3ModelStartDttm,
mapSheetLearnEntity.m3ModelEndDttm,
mapSheetLearnEntity.detectOption,
mapSheetLearnEntity.mapSheetScope,
m1Model.modelVer.as("model1Ver"),
m2Model.modelVer.as("model2Ver"),
m3Model.modelVer.as("model3Ver")))