Merge pull request 'feat/infer_dev_260107' (#272) from feat/infer_dev_260107 into develop

Reviewed-on: https://kamco.gitea.gs.dabeeo.com/dabeeo/kamco-dabeeo-backoffice/pulls/272

src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.inference;
 
+import com.kamco.cd.kamcoback.common.exception.CustomApiException;
 import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
@@ -20,11 +21,19 @@ import io.swagger.v3.oas.annotations.responses.ApiResponse;
 import io.swagger.v3.oas.annotations.responses.ApiResponses;
 import io.swagger.v3.oas.annotations.tags.Tag;
 import jakarta.validation.Valid;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Path;
 import java.time.LocalDate;
 import java.util.List;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
+import org.springframework.core.io.FileSystemResource;
+import org.springframework.core.io.Resource;
 import org.springframework.data.domain.Page;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.DeleteMapping;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
@@ -33,6 +42,7 @@ import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RequestParam;
 import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.util.UriUtils;
 
 @Tag(name = "추론관리", description = "추론관리 API")
 @RequestMapping("/api/inference")
@@ -388,4 +398,47 @@ public class InferenceResultApiController {
         inferenceResultService.getInferenceGeomList(uuid, searchGeoReq);
     return ApiResponseDto.ok(geomList);
   }
+
+  @Operation(summary = "shp 파일 다운로드", description = "추론관리 분석결과 shp 파일 다운로드")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "shp zip파일 다운로드",
+            content =
+                @Content(
+                    mediaType = "application/octet-stream",
+                    schema = @Schema(type = "string", format = "binary"))),
+        @ApiResponse(responseCode = "404", description = "파일 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping(value = "/download/{uuid}", produces = MediaType.APPLICATION_OCTET_STREAM_VALUE)
+  public ResponseEntity<Resource> downloadZip(@PathVariable UUID uuid) throws IOException {
+
+    String path;
+    try {
+      path = String.valueOf(inferenceResultService.shpDownloadPath(uuid));
+    } catch (CustomApiException e) {
+      // 데이터 없음 등  404
+      return ResponseEntity.status(e.getStatus()).build();
+    }
+
+    Path zipPath = Path.of(path);
+    FileSystemResource resource = new FileSystemResource(zipPath);
+
+    if (!resource.exists() || !resource.isReadable()) {
+      return ResponseEntity.notFound().build();
+    }
+
+    String filename = zipPath.getFileName().toString();
+    String encodedFilename = UriUtils.encode(filename, StandardCharsets.UTF_8);
+
+    return ResponseEntity.ok()
+        .contentType(MediaType.APPLICATION_OCTET_STREAM)
+        .header(
+            HttpHeaders.CONTENT_DISPOSITION,
+            "attachment; filename=\"" + filename + "\"; filename*=UTF-8''" + encodedFilename)
+        .contentLength(resource.contentLength())
+        .body((Resource) resource);
+  }
 }

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

@@ -622,4 +622,11 @@ public class InferenceResultDto {
     private Integer completedJobs;
     private Integer failedJobs;
   }
+
+  @Getter
+  @Setter
+  public static class InferenceLearnDto {
+
+    private String uid;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceSendDto.java

@@ -5,6 +5,7 @@ import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
 
+/** AI API 추론 실행 DTO */
 @Getter
 @Setter
 @NoArgsConstructor

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

@@ -16,6 +16,7 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.MapSheet;
 import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.SearchGeoReq;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.DetectOption;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceLearnDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.MapSheetNumDto;
@@ -32,6 +33,7 @@ import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
 import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
 import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
 import jakarta.validation.constraints.NotNull;
+import java.nio.file.Path;
 import java.time.ZonedDateTime;
 import java.util.ArrayList;
 import java.util.List;
@@ -70,6 +72,9 @@ public class InferenceResultService {
   @Value("${inference.batch-url}")
   private String batchUrl;
 
+  @Value("${file.dataset-dir}")
+  private String datasetDir;
+
   @Value("${spring.profiles.active}")
   private String profile;
 
@@ -536,4 +541,17 @@ public class InferenceResultService {
     Long learnId = inferenceResultCoreService.getInferenceLearnIdByUuid(dto.getUuid());
     inferenceResultCoreService.upsertGeomData(learnId);
   }
+
+  /**
+   * 추론결과 shp zip 파일 다운로드 경로 생성
+   *
+   * @param uuid
+   * @return
+   */
+  public Path shpDownloadPath(UUID uuid) {
+    InferenceLearnDto dto = inferenceResultCoreService.getInferenceUid(uuid);
+    String uid = dto.getUid();
+
+    return Path.of(datasetDir).resolve(uid).resolve("merge").resolve(uid + ".zip");
+  }
 }

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

@@ -11,6 +11,7 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.MapSheet;
 import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.SearchGeoReq;
 import com.kamco.cd.kamcoback.inference.dto.InferenceProgressDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceLearnDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
@@ -461,4 +462,20 @@ public class InferenceResultCoreService {
         inferenceResultsTetingRepository.getInferenceResultList(batchIds);
     return list.stream().map(InferenceResultsTestingDto.ShpDto::fromEntity).toList();
   }
+
+  /**
+   * uid 조회
+   *
+   * @param uuid
+   * @return
+   */
+  public InferenceLearnDto getInferenceUid(UUID uuid) {
+    MapSheetLearnEntity entity =
+        inferenceResultRepository
+            .getInferenceUid(uuid)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    InferenceLearnDto dto = new InferenceLearnDto();
+    dto.setUid(entity.getUid());
+    return dto;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/InferenceResultRepositoryCustom.java

@@ -1,7 +1,9 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceGeomEntity;
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
 import java.util.List;
+import java.util.Optional;
 import java.util.UUID;
 
 public interface InferenceResultRepositoryCustom {
@@ -27,4 +29,6 @@ public interface InferenceResultRepositoryCustom {
   List<MapSheetAnalDataInferenceGeomEntity> findGeomEntitiesByDataUid(Long dataUid, int limit);
 
   Long getInferenceLearnIdByUuid(UUID uuid);
+
+  public Optional<MapSheetLearnEntity> getInferenceUid(UUID uuid);
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/InferenceResultRepositoryImpl.java

@@ -3,6 +3,7 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
 
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceGeomEntity;
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceGeomEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalInferenceEntity;
@@ -10,6 +11,7 @@ import com.querydsl.jpa.impl.JPAQueryFactory;
 import jakarta.persistence.EntityManager;
 import java.time.ZonedDateTime;
 import java.util.List;
+import java.util.Optional;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Repository;
@@ -468,4 +470,14 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
         .where(mapSheetLearnEntity.uuid.eq(uuid))
         .fetchOne();
   }
+
+  @Override
+  public Optional<MapSheetLearnEntity> getInferenceUid(UUID uuid) {
+    return Optional.ofNullable(
+        queryFactory
+            .select(mapSheetLearnEntity)
+            .from(mapSheetLearnEntity)
+            .where(mapSheetLearnEntity.uuid.eq(uuid))
+            .fetchOne());
+  }
 }

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

@@ -2,6 +2,7 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
 import static com.kamco.cd.kamcoback.postgres.entity.QGpuMetricEntity.gpuMetricEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapInkx5kEntity.mapInkx5kEntity;
+import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceEntity.mapSheetAnalDataInferenceEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceGeomEntity.mapSheetAnalDataInferenceGeomEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalInferenceEntity.mapSheetAnalInferenceEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalSttcEntity.mapSheetAnalSttcEntity;
@@ -419,13 +420,10 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                     // mapSheetAnalDataInferenceGeomEntity.geomCenter)
                     ))
             .from(mapSheetAnalInferenceEntity)
+            .join(mapSheetAnalDataInferenceEntity)
+            .on(mapSheetAnalDataInferenceEntity.analUid.eq(mapSheetAnalInferenceEntity.id))
             .join(mapSheetAnalDataInferenceGeomEntity)
-            .on(
+            .on(mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id))
-                mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(
-                    mapSheetAnalInferenceEntity.compareYyyy),
-                mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(
-                    mapSheetAnalInferenceEntity.targetYyyy),
-                mapSheetAnalDataInferenceGeomEntity.stage.eq(mapSheetAnalInferenceEntity.stage))
             .join(mapInkx5kEntity)
             .on(
                 mapSheetAnalDataInferenceGeomEntity.mapSheetNum.eq(
@@ -440,13 +438,10 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
         queryFactory
             .select(mapSheetAnalDataInferenceGeomEntity.geoUid)
             .from(mapSheetAnalInferenceEntity)
+            .join(mapSheetAnalDataInferenceEntity)
+            .on(mapSheetAnalDataInferenceEntity.analUid.eq(mapSheetAnalInferenceEntity.id))
             .join(mapSheetAnalDataInferenceGeomEntity)
-            .on(
+            .on(mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id))
-                mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(
-                    mapSheetAnalInferenceEntity.compareYyyy),
-                mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(
-                    mapSheetAnalInferenceEntity.targetYyyy),
-                mapSheetAnalDataInferenceGeomEntity.stage.eq(mapSheetAnalInferenceEntity.stage))
             .join(mapInkx5kEntity)
             .on(
                 mapSheetAnalDataInferenceGeomEntity.mapSheetNum.eq(

src/main/java/com/kamco/cd/kamcoback/trainingdata/TrainingDataLabelApiController.java

@@ -376,10 +376,29 @@ public class TrainingDataLabelApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.663, 34.588],
+                            [255968.87499999875, 522096.0392135622],
-                            [126.662, 34.587],
+                            [255969.3749999955, 522097.7892135601],
-                            [126.664, 34.589],
+                            [255973.8750000003, 522103.53921356186],
-                            [126.663, 34.588]
+                            [255976.62499999997, 522108.53921356145],
+                            [255978.9607864372, 522110.87500000006],
+                            [255980.7107864374, 522111.624999999],
+                            [255982.53921356448, 522111.6250000003],
+                            [255988.37499999587, 522109.87499999726],
+                            [255988.37499999927, 522108.28921356244],
+                            [255990.12499999776, 522106.5392135628],
+                            [255990.87499999846, 522105.039213567],
+                            [255990.87500000012, 522102.4607864364],
+                            [255990.12499999718, 522100.4607864384],
+                            [255988.37499999863, 522097.46078643657],
+                            [255988.37499999968, 522096.46078643645],
+                            [255983.28921356171, 522092.8749999984],
+                            [255979.5392135627, 522088.37499999907],
+                            [255978.53921355822, 522087.8750000016],
+                            [255974.46078643817, 522087.874999998],
+                            [255971.21078643805, 522088.87499999977],
+                            [255969.87500000134, 522090.21078643604],
+                            [255968.87499999907, 522092.21078643575],
+                            [255968.87499999875, 522096.0392135622]
                           ]
                         ]
                       },
@@ -408,10 +427,16 @@ public class TrainingDataLabelApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.663, 34.588],
+                            [168526.71078643727, 544547.3749999998],
-                            [126.662, 34.587],
+                            [168527.71078643794, 544548.3749999991],
-                            [126.664, 34.589],
+                            [168530.28921356675, 544548.6249999998],
-                            [126.663, 34.588]
+                            [168538.53921356046, 544547.1250000003],
+                            [168547.28921356154, 544547.374999999],
+                            [168549.53921357248, 544545.1250000008],
+                            [168526.9607864362, 544544.6249999998],
+                            [168525.87500000178, 544545.710786436],
+                            [168525.87499999133, 544547.3749999998],
+                            [168526.71078643727, 544547.3749999998]
                           ]
                         ]
                       },
@@ -426,10 +451,22 @@ public class TrainingDataLabelApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.665, 34.590],
+                            [321550.124999999, 399476.9607864386],
-                            [126.664, 34.589],
+                            [321550.12500000146, 399480.53921356204],
-                            [126.666, 34.591],
+                            [321551.96078643796, 399482.37499999895],
-                            [126.665, 34.590]
+                            [321553.46078643616, 399483.12499999907],
+                            [321558.21078643785, 399484.62500000035],
+                            [321560.96078643884, 399486.1250000005],
+                            [321563.78921356366, 399486.1249999994],
+                            [321565.62500000204, 399484.28921355924],
+                            [321565.87499999726, 399479.7107864349],
+                            [321565.37500000506, 399478.71078644204],
+                            [321562.0392135627, 399476.12499999604],
+                            [321559.0392135677, 399474.62499999924],
+                            [321556.0392135648, 399473.6249999991],
+                            [321552.4607864374, 399473.6249999991],
+                            [321550.8750000004, 399474.96078643366],
+                            [321550.124999999, 399476.9607864386]
                           ]
                         ]
                       },
@@ -444,10 +481,29 @@ public class TrainingDataLabelApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.667, 34.592],
+                            [386684.62499999895, 310943.28921356204],
-                            [126.666, 34.591],
+                            [386684.87499999773, 310944.7892135619],
-                            [126.668, 34.593],
+                            [386686.87500000314, 310949.03921356524],
-                            [126.667, 34.592]
+                            [386689.71078643756, 310952.37499999907],
+                            [386692.5392135586, 310952.6249999989],
+                            [386694.0392135624, 310951.87500000035],
+                            [386697.28921356064, 310951.87500000035],
+                            [386700.53921356215, 310948.62499999854],
+                            [386709.78921356826, 310946.37499999977],
+                            [386715.0392135615, 310942.87500000285],
+                            [386717.8750000029, 310939.2892135617],
+                            [386718.3750000007, 310937.28921356343],
+                            [386718.124999998, 310933.71078643954],
+                            [386716.87500000326, 310931.4607864389],
+                            [386712.7892135609, 310927.12499999825],
+                            [386708.4607864385, 310927.124999999],
+                            [386699.2107864381, 310931.3749999989],
+                            [386694.9607864365, 310932.6249999988],
+                            [386692.21078644064, 310932.8750000003],
+                            [386686.4607864376, 310935.12499999994],
+                            [386685.3750000027, 310936.2107864344],
+                            [386684.3750000007, 310938.71078643826],
+                            [386684.62499999895, 310943.28921356204]
                           ]
                         ]
                       },

src/main/java/com/kamco/cd/kamcoback/trainingdata/TrainingDataReviewApiController.java

@@ -378,10 +378,29 @@ public class TrainingDataReviewApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.663, 34.588],
+                            [255968.87499999875, 522096.0392135622],
-                            [126.662, 34.587],
+                            [255969.3749999955, 522097.7892135601],
-                            [126.664, 34.589],
+                            [255973.8750000003, 522103.53921356186],
-                            [126.663, 34.588]
+                            [255976.62499999997, 522108.53921356145],
+                            [255978.9607864372, 522110.87500000006],
+                            [255980.7107864374, 522111.624999999],
+                            [255982.53921356448, 522111.6250000003],
+                            [255988.37499999587, 522109.87499999726],
+                            [255988.37499999927, 522108.28921356244],
+                            [255990.12499999776, 522106.5392135628],
+                            [255990.87499999846, 522105.039213567],
+                            [255990.87500000012, 522102.4607864364],
+                            [255990.12499999718, 522100.4607864384],
+                            [255988.37499999863, 522097.46078643657],
+                            [255988.37499999968, 522096.46078643645],
+                            [255983.28921356171, 522092.8749999984],
+                            [255979.5392135627, 522088.37499999907],
+                            [255978.53921355822, 522087.8750000016],
+                            [255974.46078643817, 522087.874999998],
+                            [255971.21078643805, 522088.87499999977],
+                            [255969.87500000134, 522090.21078643604],
+                            [255968.87499999907, 522092.21078643575],
+                            [255968.87499999875, 522096.0392135622]
                           ]
                         ]
                       },
@@ -410,10 +429,16 @@ public class TrainingDataReviewApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.663, 34.588],
+                            [168526.71078643727, 544547.3749999998],
-                            [126.662, 34.587],
+                            [168527.71078643794, 544548.3749999991],
-                            [126.664, 34.589],
+                            [168530.28921356675, 544548.6249999998],
-                            [126.663, 34.588]
+                            [168538.53921356046, 544547.1250000003],
+                            [168547.28921356154, 544547.374999999],
+                            [168549.53921357248, 544545.1250000008],
+                            [168526.9607864362, 544544.6249999998],
+                            [168525.87500000178, 544545.710786436],
+                            [168525.87499999133, 544547.3749999998],
+                            [168526.71078643727, 544547.3749999998]
                           ]
                         ]
                       },
@@ -428,10 +453,22 @@ public class TrainingDataReviewApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.665, 34.590],
+                            [321550.124999999, 399476.9607864386],
-                            [126.664, 34.589],
+                            [321550.12500000146, 399480.53921356204],
-                            [126.666, 34.591],
+                            [321551.96078643796, 399482.37499999895],
-                            [126.665, 34.590]
+                            [321553.46078643616, 399483.12499999907],
+                            [321558.21078643785, 399484.62500000035],
+                            [321560.96078643884, 399486.1250000005],
+                            [321563.78921356366, 399486.1249999994],
+                            [321565.62500000204, 399484.28921355924],
+                            [321565.87499999726, 399479.7107864349],
+                            [321565.37500000506, 399478.71078644204],
+                            [321562.0392135627, 399476.12499999604],
+                            [321559.0392135677, 399474.62499999924],
+                            [321556.0392135648, 399473.6249999991],
+                            [321552.4607864374, 399473.6249999991],
+                            [321550.8750000004, 399474.96078643366],
+                            [321550.124999999, 399476.9607864386]
                           ]
                         ]
                       },
@@ -446,10 +483,29 @@ public class TrainingDataReviewApiController {
                         "type": "Polygon",
                         "coordinates": [
                           [
-                            [126.667, 34.592],
+                            [386684.62499999895, 310943.28921356204],
-                            [126.666, 34.591],
+                            [386684.87499999773, 310944.7892135619],
-                            [126.668, 34.593],
+                            [386686.87500000314, 310949.03921356524],
-                            [126.667, 34.592]
+                            [386689.71078643756, 310952.37499999907],
+                            [386692.5392135586, 310952.6249999989],
+                            [386694.0392135624, 310951.87500000035],
+                            [386697.28921356064, 310951.87500000035],
+                            [386700.53921356215, 310948.62499999854],
+                            [386709.78921356826, 310946.37499999977],
+                            [386715.0392135615, 310942.87500000285],
+                            [386717.8750000029, 310939.2892135617],
+                            [386718.3750000007, 310937.28921356343],
+                            [386718.124999998, 310933.71078643954],
+                            [386716.87500000326, 310931.4607864389],
+                            [386712.7892135609, 310927.12499999825],
+                            [386708.4607864385, 310927.124999999],
+                            [386699.2107864381, 310931.3749999989],
+                            [386694.9607864365, 310932.6249999988],
+                            [386692.21078644064, 310932.8750000003],
+                            [386686.4607864376, 310935.12499999994],
+                            [386685.3750000027, 310936.2107864344],
+                            [386684.3750000007, 310938.71078643826],
+                            [386684.62499999895, 310943.28921356204]
                           ]
                         ]
                       },