추론 실행 추가

src/main/java/com/kamco/cd/training/train/dto/ModelTrainJobQueuedEvent.java

@@ -0,0 +1,15 @@
+package com.kamco.cd.training.train.dto;
+
+/** 학습 실행이 예약되었음을 알리는 이벤트 객체 */
+public class ModelTrainJobQueuedEvent {
+
+  private final Long jobId;
+
+  public ModelTrainJobQueuedEvent(Long jobId) {
+    this.jobId = jobId;
+  }
+
+  public Long getJobId() {
+    return jobId;
+  }
+}

src/main/java/com/kamco/cd/training/train/dto/TrainRunRequest.java

@@ -0,0 +1,82 @@
+package com.kamco.cd.training.train.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+@Getter
+@Setter
+@NoArgsConstructor
+@AllArgsConstructor
+public class TrainRunRequest {
+
+  // ========================
+  // 기본
+  // ========================
+  private String datasetFolder;
+  private String outputFolder;
+  private String inputSize;
+  private String cropSize;
+  private Integer batchSize;
+  private String gpuIds;
+  private Integer gpus;
+  private Double learningRate;
+  private String backbone;
+  private Integer epochs;
+
+  // ========================
+  // Data
+  // ========================
+  private Integer trainNumWorkers;
+  private Integer valNumWorkers;
+  private Integer testNumWorkers;
+  private Boolean trainShuffle;
+  private Boolean trainPersistent;
+  private Boolean valPersistent;
+
+  // ========================
+  // Model Architecture
+  // ========================
+  private Double dropPathRate;
+  private Integer frozenStages;
+  private String neckPolicy;
+  private String classWeight;
+  private String decoderChannels;
+
+  // ========================
+  // Loss & Optimization
+  // ========================
+  private Double weightDecay;
+  private Double layerDecayRate;
+  private Integer ignoreIndex;
+  private Boolean ddpFindUnusedParams;
+  private Integer numLayers;
+
+  // ========================
+  // Evaluation
+  // ========================
+  private String metrics;
+  private String saveBest;
+  private String saveBestRule;
+  private Integer valInterval;
+  private Integer logInterval;
+  private Integer visInterval;
+
+  // ========================
+  // Augmentation
+  // ========================
+  private Double rotProb;
+  private String rotDegree;
+  private Double flipProb;
+  private Double exchangeProb;
+  private Integer brightnessDelta;
+  private String contrastRange;
+  private String saturationRange;
+  private Integer hueDelta;
+
+  // ========================
+  // 실행 타임아웃
+  // ========================
+  private Integer timeoutSeconds;
+}

src/main/java/com/kamco/cd/training/train/dto/TrainRunResult.java

@@ -0,0 +1,20 @@
+package com.kamco.cd.training.train.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+/** 학습 실행 결과 반환 객체 */
+@Getter
+@Setter
+@NoArgsConstructor
+@AllArgsConstructor
+public class TrainRunResult {
+
+  private String jobId;
+  private String containerName;
+  private int exitCode;
+  private String status;
+  private String logs;
+}