327 lines
15 KiB
Java
327 lines
15 KiB
Java
package com.kamco.cd.kamcoback.inference;
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import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
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import com.kamco.cd.kamcoback.inference.dto.LearningModelResultDto;
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import com.kamco.cd.kamcoback.inference.service.InferenceResultService;
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import com.kamco.cd.kamcoback.inference.service.LearningModelResultProcessor;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.Parameter;
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import io.swagger.v3.oas.annotations.media.Content;
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import io.swagger.v3.oas.annotations.media.Schema;
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import io.swagger.v3.oas.annotations.responses.ApiResponse;
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import io.swagger.v3.oas.annotations.responses.ApiResponses;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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import java.util.ArrayList;
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import java.util.List;
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import lombok.RequiredArgsConstructor;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.data.domain.Page;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.PathVariable;
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import org.springframework.web.bind.annotation.RequestBody;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import org.springframework.web.bind.annotation.RestController;
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@Tag(name = "추론관리 분석결과", description = "추론관리 분석결과")
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@RequestMapping({"/demo/inf/res", "/api/inf/res"})
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@RequiredArgsConstructor
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@RestController
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public class InferenceResultApiController {
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private static final Logger logger = LoggerFactory.getLogger(InferenceResultApiController.class);
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private final InferenceResultService inferenceResultService;
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private final LearningModelResultProcessor learningModelResultProcessor;
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@Operation(summary = "추론관리 분석결과 목록 조회", description = "분석상태, 제목으로 분석결과를 조회 합니다.")
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@ApiResponses(
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = Page.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@GetMapping("/list")
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public ApiResponseDto<Page<InferenceResultDto.AnalResList>> getInferenceResultList(
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@Parameter(description = "분석상태", example = "0002") @RequestParam(required = false)
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String statCode,
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@Parameter(description = "제목", example = "변화탐지") @RequestParam(required = false) String title,
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@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
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int page,
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@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
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int size) {
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InferenceResultDto.SearchReq searchReq =
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new InferenceResultDto.SearchReq(statCode, title, page, size);
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Page<InferenceResultDto.AnalResList> analResList =
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inferenceResultService.getInferenceResultList(searchReq);
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return ApiResponseDto.ok(analResList);
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}
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@Operation(summary = "추론관리 분석결과 요약정보", description = "분석결과 요약정보를 조회합니다.")
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@ApiResponses(
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = InferenceResultDto.AnalResSummary.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@GetMapping("/summary/{id}")
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public ApiResponseDto<InferenceResultDto.AnalResSummary> getInferenceResultSummary(
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@Parameter(description = "목록 id", example = "1") @PathVariable Long id) {
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return ApiResponseDto.ok(inferenceResultService.getInferenceResultSummary(id));
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}
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@Operation(summary = "추론관리 분석결과 상세", description = "분석결과 상제 정보 Summary, DashBoard")
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@ApiResponses(
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = InferenceResultDto.Detail.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@GetMapping("/detail/{id}")
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public ApiResponseDto<InferenceResultDto.Detail> getInferenceDetail(
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@Parameter(description = "목록 id", example = "1") @PathVariable Long id) {
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return ApiResponseDto.ok(inferenceResultService.getDetail(id));
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}
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@Operation(summary = "추론관리 분석결과 상세 목록", description = "추론관리 분석결과 상세 목록 geojson 데이터 조회")
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@ApiResponses(
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = Page.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@GetMapping("/geom/{id}")
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public ApiResponseDto<Page<InferenceResultDto.Geom>> getInferenceResultGeomList(
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@Parameter(description = "분석결과 id", example = "1") @PathVariable Long id,
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@Parameter(description = "기준년도 분류", example = "land") @RequestParam(required = false)
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String targetClass,
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@Parameter(description = "비교년도 분류", example = "waste") @RequestParam(required = false)
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String compareClass,
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@Parameter(description = "5000:1 도협번호 37801011,37801012") @RequestParam(required = false)
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List<Long> mapSheetNum,
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@Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
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int page,
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@Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
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int size,
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@Parameter(description = "정렬 조건 (형식: 필드명,방향)", example = "name,asc")
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@RequestParam(required = false)
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String sort) {
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InferenceResultDto.SearchGeoReq searchGeoReq =
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new InferenceResultDto.SearchGeoReq(
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targetClass, compareClass, mapSheetNum, page, size, sort);
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Page<InferenceResultDto.Geom> geomList =
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inferenceResultService.getInferenceResultGeomList(id, searchGeoReq);
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return ApiResponseDto.ok(geomList);
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}
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// @Operation(summary = "학습모델 결과 처리", description = "실제 학습모델 GeoJSON 파일을 처리하여 데이터베이스에 저장합니다.")
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// @ApiResponses(
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// value = {
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// @ApiResponse(
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// responseCode = "200",
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// description = "처리 성공",
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// content =
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// @Content(
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// mediaType = "application/json",
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// schema =
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// @Schema(implementation =
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// LearningModelResultDto.ProcessResponse.class))),
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// @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
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// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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// })
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// @PostMapping("/learning-model/process")
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public ApiResponseDto<LearningModelResultDto.ProcessResponse> processLearningModelResult(
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@RequestBody LearningModelResultDto.ProcessRequest request) {
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try {
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logger.info("Processing learning model result file: {}", request.getFilePath());
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Path filePath = Paths.get(request.getFilePath());
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int processedFeatures = learningModelResultProcessor.processLearningModelResult(filePath);
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LearningModelResultDto.ProcessResponse response =
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LearningModelResultDto.ProcessResponse.builder()
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.success(true)
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.message("학습모델 결과 처리가 완료되었습니다.")
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.processedFeatures(processedFeatures)
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.filePath(request.getFilePath())
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.build();
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logger.info(
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"Successfully processed {} features from file: {}",
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processedFeatures,
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request.getFilePath());
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return ApiResponseDto.ok(response);
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} catch (Exception e) {
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logger.error("Failed to process learning model result: {}", request.getFilePath(), e);
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LearningModelResultDto.ProcessResponse response =
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LearningModelResultDto.ProcessResponse.builder()
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.success(false)
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.message("학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
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.processedFeatures(0)
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.filePath(request.getFilePath())
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.build();
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return ApiResponseDto.ok(response);
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}
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}
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// @Operation(summary = "학습모델 결과 일괄 처리", description = "여러 학습모델 GeoJSON 파일을 일괄 처리하여 데이터베이스에
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// 저장합니다.")
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// @ApiResponses(
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// value = {
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// @ApiResponse(
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// responseCode = "200",
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// description = "처리 성공",
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// content =
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// @Content(
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// mediaType = "application/json",
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// schema =
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// @Schema(
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// implementation =
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// LearningModelResultDto.BatchProcessResponse.class))),
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// @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
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// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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// })
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// @PostMapping("/learning-model/process-batch")
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public ApiResponseDto<LearningModelResultDto.BatchProcessResponse>
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processBatchLearningModelResults(
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@RequestBody LearningModelResultDto.BatchProcessRequest request) {
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try {
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logger.info("Processing {} learning model result files", request.getFilePaths().size());
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List<Path> filePaths = new ArrayList<>();
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for (String filePath : request.getFilePaths()) {
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filePaths.add(Paths.get(filePath));
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}
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int totalProcessedFeatures =
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learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
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LearningModelResultDto.BatchProcessResponse response =
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LearningModelResultDto.BatchProcessResponse.builder()
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.success(true)
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.message("일괄 학습모델 결과 처리가 완료되었습니다.")
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.totalProcessedFeatures(totalProcessedFeatures)
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.processedFileCount(request.getFilePaths().size())
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.filePaths(request.getFilePaths())
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.build();
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logger.info(
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"Successfully processed {} features from {} files",
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totalProcessedFeatures,
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request.getFilePaths().size());
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return ApiResponseDto.ok(response);
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} catch (Exception e) {
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logger.error("Failed to process batch learning model results", e);
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LearningModelResultDto.BatchProcessResponse response =
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LearningModelResultDto.BatchProcessResponse.builder()
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.success(false)
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.message("일괄 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
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.totalProcessedFeatures(0)
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.processedFileCount(0)
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.filePaths(request.getFilePaths())
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.build();
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return ApiResponseDto.ok(response);
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}
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}
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// @Operation(summary = "기본 학습모델 파일 처리", description = "미리 준비된 학습모델 파일을 처리합니다.")
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// @ApiResponses(
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// value = {
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// @ApiResponse(
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// responseCode = "200",
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// description = "처리 성공",
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// content =
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// @Content(
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// mediaType = "application/json",
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// schema =
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// @Schema(
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// implementation =
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// LearningModelResultDto.BatchProcessResponse.class))),
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// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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// })
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// @PostMapping("/learning-model/process-default")
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public ApiResponseDto<LearningModelResultDto.BatchProcessResponse>
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processDefaultLearningModelResults() {
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try {
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logger.info("Processing default learning model result files");
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// Process the two default learning model files from upload directory
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List<String> defaultFilePaths =
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List.of(
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"/Users/deniallee/geojson/upload/캠코_2021_2022_35813023.geojson",
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"/Users/deniallee/geojson/upload/캠코_2023_2024_35810049.geojson");
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List<Path> filePaths = new ArrayList<>();
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for (String filePath : defaultFilePaths) {
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filePaths.add(Paths.get(filePath));
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}
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int totalProcessedFeatures =
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learningModelResultProcessor.processMultipleLearningModelResults(filePaths);
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LearningModelResultDto.BatchProcessResponse response =
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LearningModelResultDto.BatchProcessResponse.builder()
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.success(true)
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.message("기본 학습모델 결과 파일 처리가 완료되었습니다.")
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.totalProcessedFeatures(totalProcessedFeatures)
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.processedFileCount(defaultFilePaths.size())
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.filePaths(defaultFilePaths)
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.build();
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logger.info(
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"Successfully processed {} features from {} default files",
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totalProcessedFeatures,
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defaultFilePaths.size());
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return ApiResponseDto.ok(response);
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} catch (Exception e) {
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logger.error("Failed to process default learning model results", e);
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LearningModelResultDto.BatchProcessResponse response =
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LearningModelResultDto.BatchProcessResponse.builder()
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.success(false)
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.message("기본 학습모델 결과 처리 중 오류가 발생했습니다: " + e.getMessage())
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.totalProcessedFeatures(0)
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.processedFileCount(0)
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.filePaths(List.of())
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.build();
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return ApiResponseDto.ok(response);
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}
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}
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}
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