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분석결과 상세 파라미터 변경

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teddy
2025-11-28 17:04:50 +09:00
parent c114915b03
commit c90dedbe68
1 changed files with 171 additions and 171 deletions
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src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java
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@@ -41,128 +41,128 @@ public class InferenceResultApiController {
@Operation(summary = "추론관리 분석결과 목록 조회", description = "분석상태, 제목으로 분석결과를 조회 합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/list")
public ApiResponseDto<Page<InferenceResultDto.AnalResList>> getInferenceResultList(
@Parameter(description = "분석상태", example = "0002") @RequestParam(required = false)
String statCode,
@Parameter(description = "제목", example = "변화탐지") @RequestParam(required = false) String title,
@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
int page,
@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
int size,
@Parameter(description = "정렬 조건 (형식: 필드명,방향)", example = "name,asc")
@RequestParam(required = false)
String sort) {
@Parameter(description = "분석상태", example = "0002") @RequestParam(required = false)
String statCode,
@Parameter(description = "제목", example = "변화탐지") @RequestParam(required = false) String title,
@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
int page,
@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
int size,
@Parameter(description = "정렬 조건 (형식: 필드명,방향)", example = "name,asc")
@RequestParam(required = false)
String sort) {
InferenceResultDto.SearchReq searchReq =
new InferenceResultDto.SearchReq(statCode, title, page, size, sort);
new InferenceResultDto.SearchReq(statCode, title, page, size, sort);
Page<InferenceResultDto.AnalResList> analResList =
inferenceResultService.getInferenceResultList(searchReq);
inferenceResultService.getInferenceResultList(searchReq);
return ApiResponseDto.ok(analResList);
}
@Operation(summary = "추론관리 분석결과 요약정보", description = "분석결과 요약정보를 조회합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = InferenceResultDto.AnalResSummary.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = InferenceResultDto.AnalResSummary.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/summary/{id}")
public ApiResponseDto<InferenceResultDto.AnalResSummary> getInferenceResultSummary(
@Parameter(description = "목록 id", example = "1") @PathVariable Long id) {
@Parameter(description = "목록 id", example = "1") @PathVariable Long id) {
return ApiResponseDto.ok(inferenceResultService.getInferenceResultSummary(id));
}
@Operation(summary = "추론관리 분석결과 상세", description = "분석결과 상제 정보 Summary, DashBoard")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = InferenceResultDto.Detail.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/detail")
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = InferenceResultDto.Detail.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/detail/{id}")
public ApiResponseDto<InferenceResultDto.Detail> getInferenceDetail(
@Parameter(description = "목록 id", example = "1") @RequestParam Long id) {
@Parameter(description = "목록 id", example = "1") @PathVariable Long id) {
return ApiResponseDto.ok(inferenceResultService.getDetail(id));
}
@Operation(summary = "추론관리 분석결과 상세 목록", description = "추론관리 분석결과 상세 목록 geojson 데이터 조회")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/geom/{id}")
public ApiResponseDto<Page<InferenceResultDto.Geom>> getInferenceResultGeomList(
@Parameter(description = "분석결과 id", example = "1") @PathVariable Long id,
@Parameter(description = "기준년도 분류", example = "land") @RequestParam(required = false)
String targetClass,
@Parameter(description = "비교년도 분류", example = "waste") @RequestParam(required = false)
String compareClass,
@Parameter(description = "5000:1 도협번호 37801011,37801012") @RequestParam(required = false)
List<Long> mapSheetNum,
@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
int page,
@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
int size,
@Parameter(description = "정렬 조건 (형식: 필드명,방향)", example = "name,asc")
@RequestParam(required = false)
String sort) {
@Parameter(description = "분석결과 id", example = "1") @PathVariable Long id,
@Parameter(description = "기준년도 분류", example = "land") @RequestParam(required = false)
String targetClass,
@Parameter(description = "비교년도 분류", example = "waste") @RequestParam(required = false)
String compareClass,
@Parameter(description = "5000:1 도협번호 37801011,37801012") @RequestParam(required = false)
List<Long> mapSheetNum,
@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
int page,
@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
int size,
@Parameter(description = "정렬 조건 (형식: 필드명,방향)", example = "name,asc")
@RequestParam(required = false)
String sort) {
InferenceResultDto.SearchGeoReq searchGeoReq =
new InferenceResultDto.SearchGeoReq(
targetClass, compareClass, mapSheetNum, page, size, sort);
new InferenceResultDto.SearchGeoReq(
targetClass, compareClass, mapSheetNum, page, size, sort);
Page<InferenceResultDto.Geom> geomList =
inferenceResultService.getInferenceResultGeomList(id, searchGeoReq);
inferenceResultService.getInferenceResultGeomList(id, searchGeoReq);
return ApiResponseDto.ok(geomList);
}
@Operation(summary = "학습모델 결과 처리", description = "실제 학습모델 GeoJSON 파일을 처리하여 데이터베이스에 저장합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(implementation = LearningModelResultDto.ProcessResponse.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(implementation = LearningModelResultDto.ProcessResponse.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/learning-model/process")
public ApiResponseDto<LearningModelResultDto.ProcessResponse> processLearningModelResult(
@RequestBody LearningModelResultDto.ProcessRequest request) {
@RequestBody LearningModelResultDto.ProcessRequest request) {
try {
logger.info("Processing learning model result file: {}", request.getFilePath());
@@ -170,29 +170,29 @@ public class InferenceResultApiController {
int processedFeatures = learningModelResultProcessor.processLearningModelResult(filePath);
LearningModelResultDto.ProcessResponse response =
LearningModelResultDto.ProcessResponse.builder()
.success(true)
.message("학습모델 결과 처리가 완료되었습니다.")
.processedFeatures(processedFeatures)
.filePath(request.getFilePath())
.build();
LearningModelResultDto.ProcessResponse.builder()
.success(true)
.message("학습모델 결과 처리가 완료되었습니다.")
.processedFeatures(processedFeatures)
.filePath(request.getFilePath())
.build();
logger.info(
"Successfully processed {} features from file: {}",
processedFeatures,
request.getFilePath());
"Successfully processed {} features from file: {}",
processedFeatures,
request.getFilePath());
return ApiResponseDto.ok(response);
} catch (Exception e) {
logger.error("Failed to process learning model result: {}", request.getFilePath(), e);
LearningModelResultDto.ProcessResponse response =
LearningModelResultDto.ProcessResponse.builder()
.success(false)
.message("학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.processedFeatures(0)
.filePath(request.getFilePath())
.build();
LearningModelResultDto.ProcessResponse.builder()
.success(false)
.message("학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.processedFeatures(0)
.filePath(request.getFilePath())
.build();
return ApiResponseDto.ok(response);
}
@@ -200,23 +200,23 @@ public class InferenceResultApiController {
@Operation(summary = "학습모델 결과 일괄 처리", description = "여러 학습모델 GeoJSON 파일을 일괄 처리하여 데이터베이스에 저장합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(
implementation = LearningModelResultDto.BatchProcessResponse.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(
implementation = LearningModelResultDto.BatchProcessResponse.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/learning-model/process-batch")
public ApiResponseDto<LearningModelResultDto.BatchProcessResponse>
processBatchLearningModelResults(
@RequestBody LearningModelResultDto.BatchProcessRequest request) {
processBatchLearningModelResults(
@RequestBody LearningModelResultDto.BatchProcessRequest request) {
try {
logger.info("Processing {} learning model result files", request.getFilePaths().size());
@@ -226,34 +226,34 @@ public class InferenceResultApiController {
}
int totalProcessedFeatures =
learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
LearningModelResultDto.BatchProcessResponse response =
LearningModelResultDto.BatchProcessResponse.builder()
.success(true)
.message("일괄 학습모델 결과 처리가 완료되었습니다.")
.totalProcessedFeatures(totalProcessedFeatures)
.processedFileCount(request.getFilePaths().size())
.filePaths(request.getFilePaths())
.build();
LearningModelResultDto.BatchProcessResponse.builder()
.success(true)
.message("일괄 학습모델 결과 처리가 완료되었습니다.")
.totalProcessedFeatures(totalProcessedFeatures)
.processedFileCount(request.getFilePaths().size())
.filePaths(request.getFilePaths())
.build();
logger.info(
"Successfully processed {} features from {} files",
totalProcessedFeatures,
request.getFilePaths().size());
"Successfully processed {} features from {} files",
totalProcessedFeatures,
request.getFilePaths().size());
return ApiResponseDto.ok(response);
} catch (Exception e) {
logger.error("Failed to process batch learning model results", e);
LearningModelResultDto.BatchProcessResponse response =
LearningModelResultDto.BatchProcessResponse.builder()
.success(false)
.message("일괄 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.totalProcessedFeatures(0)
.processedFileCount(0)
.filePaths(request.getFilePaths())
.build();
LearningModelResultDto.BatchProcessResponse.builder()
.success(false)
.message("일괄 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.totalProcessedFeatures(0)
.processedFileCount(0)
.filePaths(request.getFilePaths())
.build();
return ApiResponseDto.ok(response);
}
@@ -261,29 +261,29 @@ public class InferenceResultApiController {
@Operation(summary = "기본 학습모델 파일 처리", description = "미리 준비된 학습모델 파일을 처리합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(
implementation = LearningModelResultDto.BatchProcessResponse.class))),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
value = {
@ApiResponse(
responseCode = "200",
description = "처리 성공",
content =
@Content(
mediaType = "application/json",
schema =
@Schema(
implementation = LearningModelResultDto.BatchProcessResponse.class))),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/learning-model/process-default")
public ApiResponseDto<LearningModelResultDto.BatchProcessResponse>
processDefaultLearningModelResults() {
processDefaultLearningModelResults() {
try {
logger.info("Processing default learning model result files");
// Process the two default learning model files from upload directory
List<String> defaultFilePaths =
List.of(
"/Users/deniallee/geojson/upload/캠코_2021_2022_35813023.geojson",
"/Users/deniallee/geojson/upload/캠코_2023_2024_35810049.geojson");
List.of(
"/Users/deniallee/geojson/upload/캠코_2021_2022_35813023.geojson",
"/Users/deniallee/geojson/upload/캠코_2023_2024_35810049.geojson");
List<Path> filePaths = new ArrayList<>();
for (String filePath : defaultFilePaths) {
@@ -291,34 +291,34 @@ public class InferenceResultApiController {
}
int totalProcessedFeatures =
learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
LearningModelResultDto.BatchProcessResponse response =
LearningModelResultDto.BatchProcessResponse.builder()
.success(true)
.message("기본 학습모델 결과 파일 처리가 완료되었습니다.")
.totalProcessedFeatures(totalProcessedFeatures)
.processedFileCount(defaultFilePaths.size())
.filePaths(defaultFilePaths)
.build();
LearningModelResultDto.BatchProcessResponse.builder()
.success(true)
.message("기본 학습모델 결과 파일 처리가 완료되었습니다.")
.totalProcessedFeatures(totalProcessedFeatures)
.processedFileCount(defaultFilePaths.size())
.filePaths(defaultFilePaths)
.build();
logger.info(
"Successfully processed {} features from {} default files",
totalProcessedFeatures,
defaultFilePaths.size());
"Successfully processed {} features from {} default files",
totalProcessedFeatures,
defaultFilePaths.size());
return ApiResponseDto.ok(response);
} catch (Exception e) {
logger.error("Failed to process default learning model results", e);
LearningModelResultDto.BatchProcessResponse response =
LearningModelResultDto.BatchProcessResponse.builder()
.success(false)
.message("기본 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.totalProcessedFeatures(0)
.processedFileCount(0)
.filePaths(List.of())
.build();
LearningModelResultDto.BatchProcessResponse.builder()
.success(false)
.message("기본 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
.totalProcessedFeatures(0)
.processedFileCount(0)
.filePaths(List.of())
.build();
return ApiResponseDto.ok(response);
}