daniel 작업 내용 커밋

src/main/java/com/kamco/cd/training/train/TrainApiController.java

@@ -1,9 +1,11 @@
 package com.kamco.cd.training.train;
 
 import com.kamco.cd.training.config.api.ApiResponseDto;
+import com.kamco.cd.training.train.dto.TrainingMetricsDto;
 import com.kamco.cd.training.train.service.DataSetCountersService;
 import com.kamco.cd.training.train.service.TestJobService;
 import com.kamco.cd.training.train.service.TrainJobService;
+import com.kamco.cd.training.train.service.TrainingMetricsService;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
 import io.swagger.v3.oas.annotations.media.Content;
@@ -29,6 +31,7 @@ public class TrainApiController {
   private final TrainJobService trainJobService;
   private final TestJobService testJobService;
   private final DataSetCountersService dataSetCountersService;
+  private final TrainingMetricsService trainingMetricsService;
 
   @Operation(summary = "학습 실행", description = "학습 실행 API")
   @ApiResponses(
@@ -236,4 +239,63 @@ public class TrainApiController {
     trainJobService.status(uuid, modelId);
     return ApiResponseDto.ok("ok");
   }
+
+  @Operation(
+      summary = "하이퍼파라미터 기반 학습 메트릭 조회",
+      description =
+          "하이퍼파라미터 UUID로 해당 파라미터를 사용하는 모델의 학습 메트릭을 조회합니다. "
+              + "val.csv와 train.csv를 우선 사용하며, 없을 경우 processing.log를 파싱합니다.")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = TrainingMetricsDto.Response.class))),
+        @ApiResponse(
+            responseCode = "404",
+            description = "하이퍼파라미터 또는 모델을 찾을 수 없음",
+            content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping(
+      path = "/metrics/hyper-param/{hyperParamUuid}",
+      produces = MediaType.APPLICATION_JSON_VALUE)
+  public ApiResponseDto<TrainingMetricsDto.Response> getMetricsByHyperParam(
+      @Parameter(description = "하이퍼파라미터 UUID", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
+          @PathVariable
+          UUID hyperParamUuid) {
+    TrainingMetricsDto.Response response =
+        trainingMetricsService.getTrainingMetricsByHyperParam(hyperParamUuid);
+    return ApiResponseDto.ok(response);
+  }
+
+  @Operation(
+      summary = "모델 기반 학습 메트릭 조회",
+      description =
+          "모델 UUID로 해당 모델의 학습 메트릭을 조회합니다. "
+              + "val.csv와 train.csv를 우선 사용하며, 없을 경우 processing.log를 파싱합니다.")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = TrainingMetricsDto.Response.class))),
+        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping(path = "/metrics/model/{modelUuid}", produces = MediaType.APPLICATION_JSON_VALUE)
+  public ApiResponseDto<TrainingMetricsDto.Response> getMetricsByModel(
+      @Parameter(description = "모델 UUID", example = "b34a2d18-11e6-4b1b-a156-cd314bec45bb")
+          @PathVariable
+          UUID modelUuid) {
+    TrainingMetricsDto.Response response =
+        trainingMetricsService.getTrainingMetricsByModelUuid(modelUuid);
+    return ApiResponseDto.ok(response);
+  }
 }