diff --git a/.claude/settings.json b/.claude/settings.json index 908a71e..3027e9b 100644 --- a/.claude/settings.json +++ b/.claude/settings.json @@ -5,29 +5,29 @@ }, "permissions": { "allow": [ - "Bash(npm run *)", - "Bash(npm install *)", - "Bash(npm test *)", - "Bash(npx *)", - "Bash(node *)", - "Bash(git status)", - "Bash(git diff *)", - "Bash(git log *)", + "Bash(curl -s *)", + "Bash(fnm *)", + "Bash(git add *)", "Bash(git branch *)", "Bash(git checkout *)", - "Bash(git add *)", "Bash(git commit *)", - "Bash(git pull *)", - "Bash(git fetch *)", - "Bash(git merge *)", - "Bash(git stash *)", - "Bash(git remote *)", "Bash(git config *)", + "Bash(git diff *)", + "Bash(git fetch *)", + "Bash(git log *)", + "Bash(git merge *)", + "Bash(git pull *)", + "Bash(git remote *)", "Bash(git rev-parse *)", "Bash(git show *)", + "Bash(git stash *)", + "Bash(git status)", "Bash(git tag *)", - "Bash(curl -s *)", - "Bash(fnm *)" + "Bash(node *)", + "Bash(npm install *)", + "Bash(npm run *)", + "Bash(npm test *)", + "Bash(npx *)" ], "deny": [ "Bash(git push --force*)", @@ -83,5 +83,7 @@ ] } ] - } + }, + "deny": [], + "allow": [] } \ No newline at end of file diff --git a/.claude/workflow-version.json b/.claude/workflow-version.json index f9f4b86..ab9c219 100644 --- a/.claude/workflow-version.json +++ b/.claude/workflow-version.json @@ -1,6 +1,6 @@ { "applied_global_version": "1.6.1", - "applied_date": "2026-03-11", + "applied_date": "2026-03-13", "project_type": "react-ts", "gitea_url": "https://gitea.gc-si.dev", "custom_pre_commit": true diff --git a/backend/src/prediction/predictionService.ts b/backend/src/prediction/predictionService.ts index bdf86a5..0769ea7 100644 --- a/backend/src/prediction/predictionService.ts +++ b/backend/src/prediction/predictionService.ts @@ -18,6 +18,7 @@ interface PredictionAnalysis { backtrackStatus: string; analyst: string; officeName: string; + acdntSttsCd: string; } interface PredictionDetail { @@ -129,6 +130,7 @@ export async function listAnalyses(input: ListAnalysesInput): Promise = { 'kL': 'KL', 'ton': 'TON', 'barrel': 'BBL', } +// ============================================================ +// 신규 생성된 ACDNT/SPIL_DATA/PRED_EXEC 롤백 헬퍼 +// Python 호출 실패 시 이번 요청에서 생성된 레코드만 삭제한다. +// ============================================================ +async function rollbackNewRecords( + predExecSn: number | null, + newSpilDataSn: number | null, + newAcdntSn: number | null +): Promise { + try { + if (predExecSn !== null) { + await wingPool.query('DELETE FROM wing.PRED_EXEC WHERE PRED_EXEC_SN=$1', [predExecSn]) + } + if (newSpilDataSn !== null) { + await wingPool.query('DELETE FROM wing.SPIL_DATA WHERE SPIL_DATA_SN=$1', [newSpilDataSn]) + } + if (newAcdntSn !== null) { + await wingPool.query('DELETE FROM wing.ACDNT WHERE ACDNT_SN=$1', [newAcdntSn]) + } + } catch (cleanupErr) { + console.error('[simulation] 롤백 실패:', cleanupErr) + } +} + // ============================================================ // POST /api/simulation/run // 확산 시뮬레이션 실행 (OpenDrift) @@ -92,9 +116,30 @@ router.post('/run', requireAuth, async (req: Request, res: Response) => { return res.status(400).json({ error: '사고명은 200자 이내여야 합니다.' }) } + // 2. Python NC 파일 존재 여부 확인 (ACDNT 생성 전에 수행하여 고아 레코드 방지) + try { + const checkRes = await fetch(`${PYTHON_API_URL}/check-nc`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ lat, lon, startTime }), + signal: AbortSignal.timeout(5000), + }) + if (!checkRes.ok) { + return res.status(409).json({ + error: '해당 좌표의 해양 기상 데이터가 없습니다.', + message: 'NC 파일이 준비되지 않았습니다.', + }) + } + } catch { + // Python 서버 미기동 — 5번에서 처리 + } + // 1-B. acdntSn 미제공 시 ACDNT + SPIL_DATA 생성 let resolvedAcdntSn: number | null = rawAcdntSn ? Number(rawAcdntSn) : null let resolvedSpilDataSn: number | null = null + // 이번 요청에서 신규 생성된 레코드 추적 (Python 실패 시 롤백 대상) + let newlyCreatedAcdntSn: number | null = null + let newlyCreatedSpilDataSn: number | null = null if (!resolvedAcdntSn && acdntNm) { try { @@ -116,6 +161,7 @@ router.post('/run', requireAuth, async (req: Request, res: Response) => { [acdntNm.trim(), occrn, lat, lon] ) resolvedAcdntSn = acdntRes.rows[0].acdnt_sn as number + newlyCreatedAcdntSn = resolvedAcdntSn const spilRes = await wingPool.query( `INSERT INTO wing.SPIL_DATA (ACDNT_SN, OIL_TP_CD, SPIL_QTY, SPIL_UNIT_CD, SPIL_TP_CD, FCST_HR, REG_DTM) @@ -131,30 +177,13 @@ router.post('/run', requireAuth, async (req: Request, res: Response) => { ] ) resolvedSpilDataSn = spilRes.rows[0].spil_data_sn as number + newlyCreatedSpilDataSn = resolvedSpilDataSn } catch (dbErr) { console.error('[simulation] ACDNT/SPIL_DATA INSERT 실패:', dbErr) return res.status(500).json({ error: '사고 정보 생성 실패' }) } } - // 2. Python NC 파일 존재 여부 확인 - try { - const checkRes = await fetch(`${PYTHON_API_URL}/check-nc`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ lat, lon, startTime }), - signal: AbortSignal.timeout(5000), - }) - if (!checkRes.ok) { - return res.status(409).json({ - error: '해당 좌표의 해양 기상 데이터가 없습니다.', - message: 'NC 파일이 준비되지 않았습니다.', - }) - } - } catch { - // Python 서버 미기동 — 5번에서 처리 - } - // 3. 기존 사고의 경우 SPIL_DATA_SN 조회 if (resolvedAcdntSn && !resolvedSpilDataSn) { try { @@ -215,6 +244,7 @@ router.post('/run', requireAuth, async (req: Request, res: Response) => { `UPDATE wing.PRED_EXEC SET EXEC_STTS_CD='FAILED', ERR_MSG=$1, CMPL_DTM=NOW() WHERE PRED_EXEC_SN=$2`, [errData.error || '분석 서버 포화', predExecSn] ) + await rollbackNewRecords(predExecSn, newlyCreatedSpilDataSn, newlyCreatedAcdntSn) return res.status(503).json({ error: errData.error || '분석 서버가 사용 중입니다. 잠시 후 재시도해 주세요.' }) } @@ -229,6 +259,7 @@ router.post('/run', requireAuth, async (req: Request, res: Response) => { `UPDATE wing.PRED_EXEC SET EXEC_STTS_CD='FAILED', ERR_MSG='Python 분석 서버에 연결할 수 없습니다.', CMPL_DTM=NOW() WHERE PRED_EXEC_SN=$1`, [predExecSn] ) + await rollbackNewRecords(predExecSn, newlyCreatedSpilDataSn, newlyCreatedAcdntSn) return res.status(503).json({ error: 'Python 분석 서버에 연결할 수 없습니다.' }) } diff --git a/docs/RELEASE-NOTES.md b/docs/RELEASE-NOTES.md index 973c91e..18d7385 100644 --- a/docs/RELEASE-NOTES.md +++ b/docs/RELEASE-NOTES.md @@ -4,27 +4,21 @@ ## [Unreleased] +## [2026-03-13] + ### 추가 +- 오염분석 다각형/원 분석 기능 구현 +- 시뮬레이션 에러 모달 추가 - 해류 캔버스 파티클 레이어 추가 -## [2026-03-11.2] - -### 추가 -- OpenDrift 유류 확산 시뮬레이션 통합 (비동기 폴링 구조) -- flyTo 완료 후 자동 재생 기능 -- 이미지 분석 서버 Docker 패키징 (CPU 전용 환경) -- SPIL_DATA 이미지 분석 결과 컬럼 인라인 통합 -- CPU 전용 Docker 환경 구축 (Dockerfile.cpu, docker-compose.cpu.yml) +### 수정 +- useSubMenu useEffect import 누락 수정 ### 변경 -- 이미지 분석/보고서/항공 UI 개선 -- CCTV/관리자 고도화 +- 보고서 해안부착 현황 개선 ### 기타 -- 팀 워크플로우 v1.6.1 적용일 갱신 -- 팀 워크플로우 v1.6.1 동기화 (custom_pre_commit 프로젝트 해시 불일치 해결) -- 팀 워크플로우 v1.6.0 동기화 (해시 기반 자동 최신화, push/mr/release 워크플로우 체크, 팀 관리 파일 gitignore 처리) -- 팀 워크플로우 v1.5.0 동기화 (스킬 7종 업데이트, version 스킬 신규, release-notes-guide 추가) +- 팀 워크플로우 동기화 (v1.6.1) ## [2026-03-11] @@ -36,18 +30,27 @@ - 관리자 화면 고도화 — 사용자/권한/게시판/선박신호 패널 - CCTV 오일 감지 GPU 추론 연동 및 HNS 초기 핀 제거 - 유류오염보장계약 시드 데이터 추가 (1391건) +- OpenDrift 유류 확산 시뮬레이션 통합 (비동기 폴링 구조) +- flyTo 완료 후 자동 재생 기능 +- 이미지 분석 서버 Docker 패키징 (CPU 전용 환경) +- SPIL_DATA 이미지 분석 결과 컬럼 인라인 통합 +- CPU 전용 Docker 환경 구축 (Dockerfile.cpu, docker-compose.cpu.yml) ### 수정 - /orgs 라우트를 /:id 앞에 등록하여 라우트 매칭 수정 +### 변경 +- 이미지 분석/보고서/항공 UI 개선 +- CCTV/관리자 고도화 + ### 문서 - 프로젝트 문서 최신화 (KHOA API, Vite 프록시) ### 기타 - CLAUDE_BOT_TOKEN 갱신 -- 팀 워크플로우 v1.6.1 동기화 -- 팀 워크플로우 v1.6.0 동기화 -- 팀 워크플로우 v1.5.0 동기화 +- 팀 워크플로우 v1.6.1 동기화 (custom_pre_commit 프로젝트 해시 불일치 해결, 적용일 갱신) +- 팀 워크플로우 v1.6.0 동기화 (해시 기반 자동 최신화, push/mr/release 워크플로우 체크, 팀 관리 파일 gitignore 처리) +- 팀 워크플로우 v1.5.0 동기화 (스킬 7종 업데이트, version 스킬 신규, release-notes-guide 추가) ## [2026-03-01] diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 7e2e1d6..d2534ec 100755 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -25,6 +25,7 @@ "@vis.gl/react-maplibre": "^8.1.0", "axios": "^1.13.5", "emoji-mart": "^5.6.0", + "exifr": "^7.1.3", "hls.js": "^1.6.15", "jszip": "^3.10.1", "lucide-react": "^0.564.0", @@ -3848,6 +3849,12 @@ "node": ">=0.10.0" } }, + "node_modules/exifr": { + "version": "7.1.3", + "resolved": "https://registry.npmjs.org/exifr/-/exifr-7.1.3.tgz", + "integrity": "sha512-g/aje2noHivrRSLbAUtBPWFbxKdKhgj/xr1vATDdUXPOFYJlQ62Ft0oy+72V6XLIpDJfHs6gXLbBLAolqOXYRw==", + "license": "MIT" + }, "node_modules/extend-shallow": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/extend-shallow/-/extend-shallow-2.0.1.tgz", diff --git a/frontend/package.json b/frontend/package.json index 325dc86..14c3f0d 100755 --- a/frontend/package.json +++ b/frontend/package.json @@ -27,6 +27,7 @@ "@vis.gl/react-maplibre": "^8.1.0", "axios": "^1.13.5", "emoji-mart": "^5.6.0", + "exifr": "^7.1.3", "hls.js": "^1.6.15", "jszip": "^3.10.1", "lucide-react": "^0.564.0", diff --git a/frontend/src/common/components/layout/TopBar.tsx b/frontend/src/common/components/layout/TopBar.tsx index 002ea91..9c2e0d2 100755 --- a/frontend/src/common/components/layout/TopBar.tsx +++ b/frontend/src/common/components/layout/TopBar.tsx @@ -73,6 +73,25 @@ export function TopBar({ activeTab, onTabChange }: TopBarProps) { ) })} + + {/* 실시간 상황관리 */} + diff --git a/frontend/src/common/components/map/MapView.tsx b/frontend/src/common/components/map/MapView.tsx index 1e7b7e2..3be27d9 100755 --- a/frontend/src/common/components/map/MapView.tsx +++ b/frontend/src/common/components/map/MapView.tsx @@ -1,7 +1,7 @@ import { useState, useMemo, useEffect, useCallback, useRef } from 'react' import { Map, Marker, Popup, Source, Layer, useControl, useMap } from '@vis.gl/react-maplibre' import { MapboxOverlay } from '@deck.gl/mapbox' -import { ScatterplotLayer, PathLayer, TextLayer, BitmapLayer } from '@deck.gl/layers' +import { ScatterplotLayer, PathLayer, TextLayer, BitmapLayer, PolygonLayer } from '@deck.gl/layers' import type { PickingInfo, Layer as DeckLayer } from '@deck.gl/core' import type { StyleSpecification } from 'maplibre-gl' import type { MapLayerMouseEvent } from 'maplibre-gl' @@ -189,6 +189,15 @@ interface MapViewProps { mapCaptureRef?: React.MutableRefObject<(() => string | null) | null> onIncidentFlyEnd?: () => void flyToIncident?: { lon: number; lat: number } + showCurrent?: boolean + showWind?: boolean + showBeached?: boolean + showTimeLabel?: boolean + simulationStartTime?: string + drawAnalysisMode?: 'polygon' | 'circle' | null + analysisPolygonPoints?: Array<{ lat: number; lon: number }> + analysisCircleCenter?: { lat: number; lon: number } | null + analysisCircleRadiusM?: number } // deck.gl 오버레이 컴포넌트 (MapLibre 컨트롤로 등록, interleaved) @@ -311,6 +320,15 @@ export function MapView({ mapCaptureRef, onIncidentFlyEnd, flyToIncident, + showCurrent = true, + showWind = true, + showBeached = false, + showTimeLabel = false, + simulationStartTime, + drawAnalysisMode = null, + analysisPolygonPoints = [], + analysisCircleCenter, + analysisCircleRadiusM = 0, }: MapViewProps) { const { mapToggles } = useMapStore() const isControlled = externalCurrentTime !== undefined @@ -393,8 +411,10 @@ export function MapView({ getPosition: (d: (typeof visibleParticles)[0]) => [d.lon, d.lat], getRadius: 3, getFillColor: (d: (typeof visibleParticles)[0]) => { - // 1순위: stranded 입자 → 빨간색 - if (d.stranded === 1) return [239, 68, 68, 220] as [number, number, number, number] + // 1순위: stranded 입자 → showBeached=true 시 빨간색, false 시 회색 + if (d.stranded === 1) return showBeached + ? [239, 68, 68, 220] as [number, number, number, number] + : [130, 130, 130, 70] as [number, number, number, number] // 2순위: 현재 활성 스텝 → 모델 기본 색상 if (d.time === activeStep) { const modelKey = d.model || Array.from(selectedModels)[0] || 'OpenDrift' @@ -427,7 +447,7 @@ export function MapView({ } }, updateTriggers: { - getFillColor: [selectedModels, currentTime], + getFillColor: [selectedModels, currentTime, showBeached], }, }) ) @@ -529,6 +549,91 @@ export function MapView({ ) } + // --- 오염분석 다각형 그리기 --- + if (analysisPolygonPoints.length > 0) { + if (analysisPolygonPoints.length >= 3) { + result.push( + new PolygonLayer({ + id: 'analysis-polygon-fill', + data: [{ polygon: analysisPolygonPoints.map(p => [p.lon, p.lat] as [number, number]) }], + getPolygon: (d: { polygon: [number, number][] }) => d.polygon, + getFillColor: [168, 85, 247, 40], + getLineColor: [168, 85, 247, 220], + getLineWidth: 2, + stroked: true, + filled: true, + lineWidthMinPixels: 2, + }) + ) + } + result.push( + new PathLayer({ + id: 'analysis-polygon-outline', + data: [{ + path: [ + ...analysisPolygonPoints.map(p => [p.lon, p.lat] as [number, number]), + ...(analysisPolygonPoints.length >= 3 ? [[analysisPolygonPoints[0].lon, analysisPolygonPoints[0].lat] as [number, number]] : []), + ], + }], + getPath: (d: { path: [number, number][] }) => d.path, + getColor: [168, 85, 247, 220], + getWidth: 2, + getDashArray: [8, 4], + dashJustified: true, + widthMinPixels: 2, + }) + ) + result.push( + new ScatterplotLayer({ + id: 'analysis-polygon-points', + data: analysisPolygonPoints.map(p => ({ position: [p.lon, p.lat] as [number, number] })), + getPosition: (d: { position: [number, number] }) => d.position, + getRadius: 5, + getFillColor: [168, 85, 247, 255], + getLineColor: [255, 255, 255, 255], + getLineWidth: 2, + stroked: true, + radiusMinPixels: 5, + radiusMaxPixels: 8, + }) + ) + } + + // --- 오염분석 원 그리기 --- + if (analysisCircleCenter) { + result.push( + new ScatterplotLayer({ + id: 'analysis-circle-center', + data: [{ position: [analysisCircleCenter.lon, analysisCircleCenter.lat] as [number, number] }], + getPosition: (d: { position: [number, number] }) => d.position, + getRadius: 6, + getFillColor: [168, 85, 247, 255], + getLineColor: [255, 255, 255, 255], + getLineWidth: 2, + stroked: true, + radiusMinPixels: 6, + radiusMaxPixels: 9, + }) + ) + if (analysisCircleRadiusM > 0) { + result.push( + new ScatterplotLayer({ + id: 'analysis-circle-area', + data: [{ position: [analysisCircleCenter.lon, analysisCircleCenter.lat] as [number, number] }], + getPosition: (d: { position: [number, number] }) => d.position, + getRadius: analysisCircleRadiusM, + radiusUnits: 'meters', + getFillColor: [168, 85, 247, 35], + getLineColor: [168, 85, 247, 200], + getLineWidth: 2, + stroked: true, + filled: true, + lineWidthMinPixels: 2, + }) + ) + } + } + // --- HNS 대기확산 히트맵 (BitmapLayer, 고정 이미지) --- if (dispersionHeatmap && dispersionHeatmap.length > 0) { const maxConc = Math.max(...dispersionHeatmap.map(p => p.concentration)); @@ -782,8 +887,39 @@ export function MapView({ ) } + // --- 시간 표시 라벨 (TextLayer) --- + if (visibleCenters.length > 0 && showTimeLabel) { + const baseTime = simulationStartTime ? new Date(simulationStartTime) : null; + const pad = (n: number) => String(n).padStart(2, '0'); + result.push( + new TextLayer({ + id: 'time-labels', + data: visibleCenters, + getPosition: (d: (typeof visibleCenters)[0]) => [d.lon, d.lat], + getText: (d: (typeof visibleCenters)[0]) => { + if (baseTime) { + const dt = new Date(baseTime.getTime() + d.time * 3600 * 1000); + return `${dt.getFullYear()}-${pad(dt.getMonth() + 1)}-${pad(dt.getDate())} ${pad(dt.getHours())}:${pad(dt.getMinutes())}`; + } + return `+${d.time}h`; + }, + getSize: 12, + getColor: [255, 220, 50, 220] as [number, number, number, number], + getPixelOffset: [0, 16] as [number, number], + fontWeight: 'bold', + outlineWidth: 2, + outlineColor: [15, 21, 36, 200] as [number, number, number, number], + billboard: true, + sizeUnits: 'pixels' as const, + updateTriggers: { + getText: [simulationStartTime, currentTime], + }, + }) + ) + } + // --- 바람 화살표 (TextLayer) --- - if (incidentCoord && windData.length > 0) { + if (incidentCoord && windData.length > 0 && showWind) { type ArrowPoint = { lon: number; lat: number; bearing: number; speed: number } const activeWindStep = windData[currentTime] ?? windData[0] ?? [] @@ -829,6 +965,8 @@ export function MapView({ boomLines, isDrawingBoom, drawingPoints, dispersionResult, dispersionHeatmap, incidentCoord, backtrackReplay, sensitiveResources, centerPoints, windData, + showWind, showBeached, showTimeLabel, simulationStartTime, + analysisPolygonPoints, analysisCircleCenter, analysisCircleRadiusM, ]) // 3D 모드에 따른 지도 스타일 전환 @@ -844,7 +982,7 @@ export function MapView({ }} mapStyle={currentMapStyle} className="w-full h-full" - style={{ cursor: isSelectingLocation ? 'crosshair' : 'grab' }} + style={{ cursor: (isSelectingLocation || drawAnalysisMode !== null) ? 'crosshair' : 'grab' }} onClick={handleMapClick} attributionControl={false} preserveDrawingBuffer={true} @@ -887,7 +1025,7 @@ export function MapView({ {/* 해류 파티클 오버레이 */} - {hydrData.length > 0 && ( + {hydrData.length > 0 && showCurrent && ( )} @@ -928,6 +1066,16 @@ export function MapView({ 오일펜스 배치 모드 — 지도를 클릭하여 포인트를 추가하세요 ({drawingPoints.length}개 포인트) )} + {drawAnalysisMode === 'polygon' && ( +
+ 다각형 분석 모드 — 지도를 클릭하여 꼭짓점을 추가하세요 ({analysisPolygonPoints.length}개) +
+ )} + {drawAnalysisMode === 'circle' && ( +
+ {!analysisCircleCenter ? '원 분석 모드 — 중심점을 클릭하세요' : '반경 지점을 클릭하세요'} +
+ )} {/* 기상청 연계 정보 */} diff --git a/frontend/src/common/hooks/useSubMenu.ts b/frontend/src/common/hooks/useSubMenu.ts index b4d204c..fb11da7 100755 --- a/frontend/src/common/hooks/useSubMenu.ts +++ b/frontend/src/common/hooks/useSubMenu.ts @@ -1,4 +1,4 @@ -import { useEffect, useSyncExternalStore, useCallback } from 'react' +import { useEffect, useSyncExternalStore } from 'react' import type { MainTab } from '../types/navigation' import { useAuthStore } from '@common/store/authStore' import { API_BASE_URL } from '@common/services/api' @@ -38,7 +38,7 @@ const subMenuConfigs: Record = { ], aerial: [ { id: 'media', label: '영상사진관리', icon: '📷' }, - { id: 'analysis', label: '유출유면적분석', icon: '🧩' }, + { id: 'analysis', label: '영상사진합성', icon: '🧩' }, { id: 'realtime', label: '실시간드론', icon: '🛸' }, { id: 'sensor', label: '오염/선박3D분석', icon: '🔍' }, { id: 'satellite', label: '위성요청', icon: '🛰' }, @@ -91,8 +91,7 @@ function subscribe(listener: () => void) { } export function useSubMenu(mainTab: MainTab) { - const getSnapshot = useCallback(() => subMenuState[mainTab], [mainTab]) - const activeSubTab = useSyncExternalStore(subscribe, getSnapshot) + const activeSubTab = useSyncExternalStore(subscribe, () => subMenuState[mainTab]) const isAuthenticated = useAuthStore((s) => s.isAuthenticated) const hasPermission = useAuthStore((s) => s.hasPermission) @@ -106,13 +105,6 @@ export function useSubMenu(mainTab: MainTab) { hasPermission(`${mainTab}:${item.id}`) ) ?? null - // activeSubTab이 필터링된 목록에 없으면 첫 번째 항목 자동 선택 - useEffect(() => { - if (filteredConfig && filteredConfig.length > 0 && !filteredConfig.some(item => item.id === activeSubTab)) { - setSubTab(mainTab, filteredConfig[0].id) - } - }, [filteredConfig, activeSubTab, mainTab]) - // 서브탭 전환 시 자동 감사 로그 (N-depth 지원: 콜론 구분 경로) useEffect(() => { if (!isAuthenticated || !activeSubTab) return diff --git a/frontend/src/common/utils/geo.ts b/frontend/src/common/utils/geo.ts index b522dd8..47d3327 100755 --- a/frontend/src/common/utils/geo.ts +++ b/frontend/src/common/utils/geo.ts @@ -186,6 +186,47 @@ export function generateAIBoomLines( return boomLines } +/** Ray casting — 점이 다각형 내부인지 판정 */ +export function pointInPolygon( + point: { lat: number; lon: number }, + polygon: { lat: number; lon: number }[] +): boolean { + if (polygon.length < 3) return false + let inside = false + const x = point.lon + const y = point.lat + for (let i = 0, j = polygon.length - 1; i < polygon.length; j = i++) { + const xi = polygon[i].lon, yi = polygon[i].lat + const xj = polygon[j].lon, yj = polygon[j].lat + const intersect = ((yi > y) !== (yj > y)) && (x < (xj - xi) * (y - yi) / (yj - yi) + xi) + if (intersect) inside = !inside + } + return inside +} + +/** 다각형 면적 (km²) — Shoelace formula, 구면 보정 포함 */ +export function polygonAreaKm2(polygon: { lat: number; lon: number }[]): number { + if (polygon.length < 3) return 0 + const n = polygon.length + const latCenter = polygon.reduce((s, p) => s + p.lat, 0) / n + const cosLat = Math.cos(latCenter * DEG2RAD) + let area = 0 + for (let i = 0; i < n; i++) { + const j = (i + 1) % n + const x1 = polygon[i].lon * cosLat * EARTH_RADIUS * DEG2RAD / 1000 + const y1 = polygon[i].lat * EARTH_RADIUS * DEG2RAD / 1000 + const x2 = polygon[j].lon * cosLat * EARTH_RADIUS * DEG2RAD / 1000 + const y2 = polygon[j].lat * EARTH_RADIUS * DEG2RAD / 1000 + area += x1 * y2 - x2 * y1 + } + return Math.abs(area) / 2 +} + +/** 원 면적 (km²) */ +export function circleAreaKm2(radiusM: number): number { + return Math.PI * (radiusM / 1000) ** 2 +} + /** 차단 시뮬레이션 실행 */ export function runContainmentAnalysis( trajectory: Array<{ lat: number; lon: number; time: number; particle?: number }>, diff --git a/frontend/src/tabs/aerial/components/OilAreaAnalysis.tsx b/frontend/src/tabs/aerial/components/OilAreaAnalysis.tsx index 47c0bc2..7567dd7 100644 --- a/frontend/src/tabs/aerial/components/OilAreaAnalysis.tsx +++ b/frontend/src/tabs/aerial/components/OilAreaAnalysis.tsx @@ -1,20 +1,29 @@ import { useState, useRef, useEffect, useCallback } from 'react'; +import * as exifr from 'exifr'; import { stitchImages } from '../services/aerialApi'; import { analyzeImage } from '@tabs/prediction/services/predictionApi'; import { setPendingImageAnalysis } from '@common/utils/imageAnalysisSignal'; import { navigateToTab } from '@common/hooks/useSubMenu'; +import { decimalToDMS } from '@common/utils/coordinates'; const MAX_IMAGES = 6; +interface GpsInfo { + lat: number | null; + lon: number | null; +} + export function OilAreaAnalysis() { const [selectedFiles, setSelectedFiles] = useState([]); const [previewUrls, setPreviewUrls] = useState([]); + const [imageGpsInfos, setImageGpsInfos] = useState<(GpsInfo | undefined)[]>([]); const [stitchedBlob, setStitchedBlob] = useState(null); const [stitchedPreviewUrl, setStitchedPreviewUrl] = useState(null); const [isStitching, setIsStitching] = useState(false); const [isAnalyzing, setIsAnalyzing] = useState(false); const [error, setError] = useState(null); const fileInputRef = useRef(null); + const processedFilesRef = useRef>(new Set()); // Object URL 메모리 누수 방지 — 언마운트 시 전체 revoke useEffect(() => { @@ -25,6 +34,34 @@ export function OilAreaAnalysis() { // eslint-disable-next-line react-hooks/exhaustive-deps }, []); + // 선택된 파일이 바뀔 때마다 새 파일의 EXIF GPS 추출 + useEffect(() => { + selectedFiles.forEach((file, i) => { + if (processedFilesRef.current.has(file)) return; + processedFilesRef.current.add(file); + + exifr.gps(file) + .then(gps => { + setImageGpsInfos(prev => { + const updated = [...prev]; + while (updated.length <= i) updated.push(undefined); + updated[i] = gps + ? { lat: gps.latitude, lon: gps.longitude } + : { lat: null, lon: null }; + return updated; + }); + }) + .catch(() => { + setImageGpsInfos(prev => { + const updated = [...prev]; + while (updated.length <= i) updated.push(undefined); + updated[i] = { lat: null, lon: null }; + return updated; + }); + }); + }); + }, [selectedFiles]); + const handleFileSelect = useCallback((e: React.ChangeEvent) => { setError(null); const incoming = Array.from(e.target.files ?? []); @@ -56,6 +93,7 @@ export function OilAreaAnalysis() { URL.revokeObjectURL(prev[idx]); return prev.filter((_, i) => i !== idx); }); + setImageGpsInfos(prev => prev.filter((_, i) => i !== idx)); // 합성 결과 초기화 (선택 파일이 바뀌었으므로) setStitchedBlob(null); if (stitchedPreviewUrl) { @@ -112,7 +150,7 @@ export function OilAreaAnalysis() {
{/* ── Left Panel ── */}
-
🧩 유출유면적분석
+
🧩 영상사진합성
드론 사진을 합성하여 유출유 확산 면적과 기름 양을 산정합니다.
@@ -201,15 +239,34 @@ export function OilAreaAnalysis() { {Array.from({ length: MAX_IMAGES }).map((_, i) => (
{previewUrls[i] ? ( - {selectedFiles[i]?.name + <> +
+ {selectedFiles[i]?.name +
+
+
+ {selectedFiles[i]?.name} +
+ {imageGpsInfos[i] === undefined ? ( +
GPS 읽는 중...
+ ) : imageGpsInfos[i]?.lat !== null ? ( +
+ {decimalToDMS(imageGpsInfos[i]!.lat!, true)}
+ {decimalToDMS(imageGpsInfos[i]!.lon!, false)} +
+ ) : ( +
GPS 정보 없음
+ )} +
+ ) : (
{i + 1} diff --git a/frontend/src/tabs/prediction/components/LeftPanel.tsx b/frontend/src/tabs/prediction/components/LeftPanel.tsx index 40260b7..cc5b1fc 100755 --- a/frontend/src/tabs/prediction/components/LeftPanel.tsx +++ b/frontend/src/tabs/prediction/components/LeftPanel.tsx @@ -53,7 +53,7 @@ export function LeftPanel({ predictionInput: true, incident: false, impactResources: false, - infoLayer: true, + infoLayer: false, oilBoom: false, }) @@ -112,45 +112,73 @@ export function LeftPanel({
{expandedSections.incident && ( -
- {/* Status Badge */} -
- - 진행중 -
+ selectedAnalysis ? ( +
+ {/* Status Badge */} + {(() => { + const statusMap: Record = { + ACTIVE: { + label: '진행중', + style: 'bg-[rgba(239,68,68,0.15)] text-status-red border border-[rgba(239,68,68,0.3)]', + dot: 'bg-status-red animate-pulse', + }, + INVESTIGATING: { + label: '조사중', + style: 'bg-[rgba(249,115,22,0.15)] text-status-orange border border-[rgba(249,115,22,0.3)]', + dot: 'bg-status-orange animate-pulse', + }, + CLOSED: { + label: '종료', + style: 'bg-[rgba(100,116,139,0.15)] text-text-3 border border-[rgba(100,116,139,0.3)]', + dot: 'bg-text-3', + }, + } + const s = statusMap[selectedAnalysis.acdntSttsCd] ?? statusMap['ACTIVE'] + return ( +
+ + {s.label} +
+ ) + })()} - {/* Info Grid */} -
-
- 사고코드 - {selectedAnalysis ? `INC-2025-${String(selectedAnalysis.id).padStart(4, '0')}` : 'INC-2025-0042'} -
-
- 사고명 - {selectedAnalysis?.name || '씨프린스호'} -
-
- 사고일시 - {selectedAnalysis?.occurredAt || '2025-02-10 06:30'} -
-
- 유종 - {selectedAnalysis?.oilType || 'BUNKER_C'} -
-
- 유출량 - {selectedAnalysis ? `${selectedAnalysis.volume.toFixed(2)} kl` : '350.00 kl'} -
-
- 담당자 - {selectedAnalysis?.analyst || '남해청, 방재과'} -
-
- 위치 - {selectedAnalysis?.location || '여수 돌산 남방 5NM'} + {/* Info Grid */} +
+
+ 사고코드 + {selectedAnalysis.acdntSn} +
+
+ 사고명 + {selectedAnalysis.acdntNm || '—'} +
+
+ 사고일시 + {selectedAnalysis.occurredAt ? selectedAnalysis.occurredAt.slice(0, 16) : '—'} +
+
+ 유종 + {selectedAnalysis.oilType || '—'} +
+
+ 유출량 + {selectedAnalysis.volume != null ? `${selectedAnalysis.volume.toFixed(2)} kl` : '—'} +
+
+ 담당자 + {selectedAnalysis.analyst || '—'} +
+
+ 위치 + {selectedAnalysis.location || '—'} +
-
+ ) : ( +
+

선택된 사고정보가 없습니다.

+
+ ) )}
diff --git a/frontend/src/tabs/prediction/components/OilSpillView.tsx b/frontend/src/tabs/prediction/components/OilSpillView.tsx index 10ed147..5455aac 100755 --- a/frontend/src/tabs/prediction/components/OilSpillView.tsx +++ b/frontend/src/tabs/prediction/components/OilSpillView.tsx @@ -16,8 +16,9 @@ import { fetchBacktrackByAcdnt, createBacktrack, fetchPredictionDetail, fetchAna import type { CenterPoint, HydrDataStep, ImageAnalyzeResult, OilParticle, PredictionDetail, SimulationRunResponse, SimulationSummary, WindPoint } from '../services/predictionApi' import { useSimulationStatus } from '../hooks/useSimulationStatus' import SimulationLoadingOverlay from './SimulationLoadingOverlay' +import SimulationErrorModal from './SimulationErrorModal' import { api } from '@common/services/api' -import { generateAIBoomLines } from '@common/utils/geo' +import { generateAIBoomLines, haversineDistance, pointInPolygon, polygonAreaKm2, circleAreaKm2 } from '@common/utils/geo' import { consumePendingImageAnalysis } from '@common/utils/imageAnalysisSignal' export type PredictionModel = 'KOSPS' | 'POSEIDON' | 'OpenDrift' @@ -35,6 +36,13 @@ export interface SensitiveResource { arrivalTimeH: number } +export interface DisplayControls { + showCurrent: boolean; // 유향/유속 + showWind: boolean; // 풍향/풍속 + showBeached: boolean; // 해안부착 + showTimeLabel: boolean; // 시간 표시 +} + const DEMO_SENSITIVE_RESOURCES: SensitiveResource[] = [ { id: 'bc-1', name: '종포 해수욕장', type: 'beach', lat: 34.728, lon: 127.679, radiusM: 350, arrivalTimeH: 1 }, { id: 'aq-1', name: '국동 전복 양식장', type: 'aquaculture', lat: 34.718, lon: 127.672, radiusM: 500, arrivalTimeH: 3 }, @@ -114,7 +122,8 @@ export function OilSpillView() { const [windData, setWindData] = useState([]) const [hydrData, setHydrData] = useState<(HydrDataStep | null)[]>([]) const [isRunningSimulation, setIsRunningSimulation] = useState(false) - const [selectedModels, setSelectedModels] = useState>(new Set(['KOSPS'])) + const [simulationError, setSimulationError] = useState(null) + const [selectedModels, setSelectedModels] = useState>(new Set(['OpenDrift'])) const [predictionTime, setPredictionTime] = useState(48) const [accidentTime, setAccidentTime] = useState('') const [spillType, setSpillType] = useState('연속') @@ -142,6 +151,14 @@ export function OilSpillView() { const [layerOpacity, setLayerOpacity] = useState(50) const [layerBrightness, setLayerBrightness] = useState(50) + // 표시 정보 제어 + const [displayControls, setDisplayControls] = useState({ + showCurrent: true, + showWind: true, + showBeached: false, + showTimeLabel: false, + }) + // 타임라인 플레이어 상태 const [isPlaying, setIsPlaying] = useState(false) const [currentStep, setCurrentStep] = useState(0) // 현재 시간값 (시간 단위) @@ -175,6 +192,16 @@ export function OilSpillView() { const [simulationSummary, setSimulationSummary] = useState(null) const { data: simStatus } = useSimulationStatus(currentExecSn) + // 오염분석 상태 + const [analysisTab, setAnalysisTab] = useState<'polygon' | 'circle'>('polygon') + const [drawAnalysisMode, setDrawAnalysisMode] = useState<'polygon' | null>(null) + const [analysisPolygonPoints, setAnalysisPolygonPoints] = useState<{ lat: number; lon: number }[]>([]) + const [circleRadiusNm, setCircleRadiusNm] = useState(5) + const [analysisResult, setAnalysisResult] = useState<{ area: number; particleCount: number; particlePercent: number; sensitiveCount: number } | null>(null) + + // 원 분석용 derived 값 (state 아님) + const analysisCircleCenter = analysisTab === 'circle' && incidentCoord ? incidentCoord : null + const analysisCircleRadiusM = circleRadiusNm * 1852 const handleToggleLayer = (layerId: string, enabled: boolean) => { setEnabledLayers(prev => { @@ -373,6 +400,7 @@ export function OilSpillView() { if (simStatus.status === 'ERROR') { setIsRunningSimulation(false); setCurrentExecSn(null); + setSimulationError(simStatus.error ?? '시뮬레이션 처리 중 오류가 발생했습니다.'); } }, [simStatus, incidentCoord, algorithmSettings]); @@ -465,8 +493,7 @@ export function OilSpillView() { setCenterPoints(cp ?? []) setWindData(wd ?? []) setHydrData(hd ?? []) - const booms = generateAIBoomLines(trajectory, coord, algorithmSettings) - setBoomLines(booms) + if (coord) setBoomLines(generateAIBoomLines(trajectory, coord, algorithmSettings)) setSensitiveResources(DEMO_SENSITIVE_RESOURCES) // incidentCoord가 변경된 경우 flyTo 완료 후 재생, 그렇지 않으면 즉시 재생 if (analysis.lon !== incidentCoord?.lon || analysis.lat !== incidentCoord?.lat) { @@ -482,10 +509,9 @@ export function OilSpillView() { } // 데모 궤적 생성 (fallback) - const demoTrajectory = generateDemoTrajectory(coord, demoModels, parseInt(analysis.duration) || 48) + const demoTrajectory = generateDemoTrajectory(coord ?? { lat: 37.39, lon: 126.64 }, demoModels, parseInt(analysis.duration) || 48) setOilTrajectory(demoTrajectory) - const demoBooms = generateAIBoomLines(demoTrajectory, coord, algorithmSettings) - setBoomLines(demoBooms) + if (coord) setBoomLines(generateAIBoomLines(demoTrajectory, coord, algorithmSettings)) setSensitiveResources(DEMO_SENSITIVE_RESOURCES) // incidentCoord가 변경된 경우 flyTo 완료 후 재생, 그렇지 않으면 즉시 재생 if (analysis.lon !== incidentCoord?.lon || analysis.lat !== incidentCoord?.lat) { @@ -498,12 +524,65 @@ export function OilSpillView() { const handleMapClick = (lon: number, lat: number) => { if (isDrawingBoom) { setDrawingPoints(prev => [...prev, { lat, lon }]) + } else if (drawAnalysisMode === 'polygon') { + setAnalysisPolygonPoints(prev => [...prev, { lat, lon }]) } else { setIncidentCoord({ lon, lat }) setIsSelectingLocation(false) } } + const handleStartPolygonDraw = () => { + setDrawAnalysisMode('polygon') + setAnalysisPolygonPoints([]) + setAnalysisResult(null) + } + + const handleRunPolygonAnalysis = () => { + if (analysisPolygonPoints.length < 3) return + const currentParticles = oilTrajectory.filter(p => p.time === currentStep) + const totalIds = new Set(oilTrajectory.map(p => p.particle ?? 0)).size || 1 + const inside = currentParticles.filter(p => pointInPolygon({ lat: p.lat, lon: p.lon }, analysisPolygonPoints)).length + const sensitiveCount = sensitiveResources.filter(r => pointInPolygon({ lat: r.lat, lon: r.lon }, analysisPolygonPoints)).length + setAnalysisResult({ + area: polygonAreaKm2(analysisPolygonPoints), + particleCount: inside, + particlePercent: Math.round((inside / totalIds) * 100), + sensitiveCount, + }) + setDrawAnalysisMode(null) + } + + const handleRunCircleAnalysis = () => { + if (!incidentCoord) return + const radiusM = circleRadiusNm * 1852 + const currentParticles = oilTrajectory.filter(p => p.time === currentStep) + const totalIds = new Set(oilTrajectory.map(p => p.particle ?? 0)).size || 1 + const inside = currentParticles.filter(p => + haversineDistance({ lat: incidentCoord.lat, lon: incidentCoord.lon }, { lat: p.lat, lon: p.lon }) <= radiusM + ).length + const sensitiveCount = sensitiveResources.filter(r => + haversineDistance({ lat: incidentCoord.lat, lon: incidentCoord.lon }, { lat: r.lat, lon: r.lon }) <= radiusM + ).length + setAnalysisResult({ + area: circleAreaKm2(radiusM), + particleCount: inside, + particlePercent: Math.round((inside / totalIds) * 100), + sensitiveCount, + }) + } + + const handleCancelAnalysis = () => { + setDrawAnalysisMode(null) + setAnalysisPolygonPoints([]) + } + + const handleClearAnalysis = () => { + setDrawAnalysisMode(null) + setAnalysisPolygonPoints([]) + setAnalysisResult(null) + } + const handleImageAnalysisResult = useCallback((result: ImageAnalyzeResult) => { setIncidentCoord({ lat: result.lat, lon: result.lon }) setFlyToCoord({ lat: result.lat, lon: result.lon }) @@ -598,9 +677,12 @@ export function OilSpillView() { setIncidentName(''); } // setIsRunningSimulation(false)는 폴링 결과 useEffect에서 처리 - } catch { + } catch (err) { setIsRunningSimulation(false); - // 503 등 에러 시 상태 복원 (에러 메시지 표시는 향후 토스트로 처리) + const msg = + (err as { message?: string })?.message + ?? '시뮬레이션 실행 중 오류가 발생했습니다.'; + setSimulationError(msg); } } @@ -723,7 +805,7 @@ export function OilSpillView() { enabledLayers={enabledLayers} incidentCoord={incidentCoord ?? undefined} flyToIncident={flyToCoord} - isSelectingLocation={isSelectingLocation || isDrawingBoom} + isSelectingLocation={isSelectingLocation || isDrawingBoom || drawAnalysisMode === 'polygon'} onMapClick={handleMapClick} oilTrajectory={oilTrajectory} selectedModels={selectedModels} @@ -739,6 +821,10 @@ export function OilSpillView() { flyToTarget={flyToTarget} fitBoundsTarget={fitBoundsTarget} onIncidentFlyEnd={handleFlyEnd} + drawAnalysisMode={drawAnalysisMode} + analysisPolygonPoints={analysisPolygonPoints} + analysisCircleCenter={analysisCircleCenter} + analysisCircleRadiusM={analysisCircleRadiusM} externalCurrentTime={oilTrajectory.length > 0 ? currentStep : undefined} backtrackReplay={isReplayActive && replayShips.length > 0 && incidentCoord ? { isActive: true, @@ -748,6 +834,11 @@ export function OilSpillView() { totalFrames: TOTAL_REPLAY_FRAMES, incidentCoord, } : undefined} + showCurrent={displayControls.showCurrent} + showWind={displayControls.showWind} + showBeached={displayControls.showBeached} + showTimeLabel={displayControls.showTimeLabel} + simulationStartTime={accidentTime || undefined} /> {/* 타임라인 플레이어 (리플레이 비활성 시) */} @@ -932,7 +1023,30 @@ export function OilSpillView() {
{/* Right Panel */} - {activeSubTab === 'analysis' && setRecalcModalOpen(true)} onOpenReport={handleOpenReport} detail={analysisDetail} summary={simulationSummary} />} + {activeSubTab === 'analysis' && ( + setRecalcModalOpen(true)} + onOpenReport={handleOpenReport} + detail={analysisDetail} + summary={simulationSummary} + displayControls={displayControls} + onDisplayControlsChange={setDisplayControls} + analysisTab={analysisTab} + onSwitchAnalysisTab={setAnalysisTab} + drawAnalysisMode={drawAnalysisMode} + analysisPolygonPoints={analysisPolygonPoints} + circleRadiusNm={circleRadiusNm} + onCircleRadiusChange={setCircleRadiusNm} + analysisResult={analysisResult} + incidentCoord={incidentCoord} + onStartPolygonDraw={handleStartPolygonDraw} + onRunPolygonAnalysis={handleRunPolygonAnalysis} + onRunCircleAnalysis={handleRunCircleAnalysis} + onCancelAnalysis={handleCancelAnalysis} + onClearAnalysis={handleClearAnalysis} + /> + )} {/* 확산 예측 실행 중 로딩 오버레이 */} {isRunningSimulation && ( @@ -942,6 +1056,14 @@ export function OilSpillView() { /> )} + {/* 확산 예측 에러 팝업 */} + {simulationError && ( + setSimulationError(null)} + /> + )} + {/* 재계산 모달 */} {/* Model Selection (다중 선택) */} + {/* TODO: 현재 OpenDrift만 구동 가능. KOSPS·POSEIDON·앙상블은 엔진 연동 완료 후 활성화 예정 */}
+ {/* 임시 비활성화 — OpenDrift만 구동 가능 (KOSPS 엔진 미연동) + { id: 'KOSPS' as PredictionModel, color: 'var(--cyan)' }, */} + {/* 임시 비활성화 — OpenDrift만 구동 가능 (POSEIDON 엔진 미연동) + { id: 'POSEIDON' as PredictionModel, color: 'var(--red)' }, */} {([ - { id: 'KOSPS' as PredictionModel, color: 'var(--cyan)' }, - { id: 'POSEIDON' as PredictionModel, color: 'var(--red)' }, { id: 'OpenDrift' as PredictionModel, color: 'var(--blue)' }, ] as const).map(m => (
))} + {/* 임시 비활성화 — OpenDrift만 구동 가능 (앙상블은 모든 모델 연동 후 활성화 예정)
{ @@ -415,8 +418,16 @@ const PredictionInputSection = ({ 앙상블
+ */}
+ {/* 모델 미선택 경고 */} + {selectedModels.size === 0 && ( +

+ ⚠ 예측 모델을 하나 이상 선택하세요. +

+ )} + {/* Run Button */} + {/* 탭 전환 */} +
+ {(['polygon', 'circle'] as const).map((tab) => ( + + ))} +
+ + {/* 다각형 패널 */} + {analysisTab === 'polygon' && ( +
+

+ 지도에서 다각형 영역을 지정하여 해당 범위 내 오염도를 분석합니다. +

+ {!drawAnalysisMode && !analysisResult && ( + + )} + {drawAnalysisMode === 'polygon' && ( +
+
+ 지도를 클릭하여 꼭짓점을 추가하세요
+ 현재 {analysisPolygonPoints.length}개 선택됨 +
+
+ + +
+
+ )} + {analysisResult && !drawAnalysisMode && ( + + )} +
+ )} + + {/* 원 분석 패널 */} + {analysisTab === 'circle' && ( +
+

+ 반경(NM)을 지정하면 사고지점 기준 원형 영역의 오염도를 분석합니다. +

+
반경 선택 (NM)
+
+ {[1, 3, 5, 10, 15, 20, 30, 50].map((nm) => ( + + ))} +
+
+ 직접 입력 + onCircleRadiusChange?.(parseFloat(e.target.value) || 0.1)} + className="w-14 text-center py-1 px-1 bg-bg-0 border border-border rounded text-[11px] font-mono text-text-1 outline-none focus:border-primary-cyan" + style={{ colorScheme: 'dark' }} + /> + NM + +
+ {analysisResult && ( + + )} +
+ )} {/* 오염 종합 상황 */} @@ -220,18 +380,33 @@ function Section({ ) } -function CheckboxLabel({ checked, children }: { checked?: boolean; children: string }) { +function ControlledCheckbox({ + checked, + onChange, + children, + disabled = false, +}: { + checked: boolean; + onChange: (v: boolean) => void; + children: string; + disabled?: boolean; +}) { return ( -
) } + +function PollResult({ + result, + summary, + onClear, + onRerun, + radiusNm, +}: { + result: AnalysisResult + summary?: SimulationSummary | null + onClear?: () => void + onRerun?: () => void + radiusNm?: number +}) { + const pollutedArea = (result.area * result.particlePercent / 100).toFixed(2) + return ( +
+
+ {radiusNm && ( +
+ 분석 결과 + 반경 {radiusNm} NM +
+ )} +
+
+
{result.area.toFixed(2)}
+
분석면적(km²)
+
+
+
{result.particlePercent}%
+
오염비율
+
+
+
{pollutedArea}
+
오염면적(km²)
+
+
+
+ {summary && ( +
+ 해상잔존량 + {summary.remainingVolume.toFixed(2)} kL +
+ )} + {summary && ( +
+ 연안부착량 + {summary.beachedVolume.toFixed(2)} kL +
+ )} +
+ 민감자원 포함 + {result.sensitiveCount}개소 +
+
+
+ + {onRerun && ( + + )} +
+
+ ) +} diff --git a/frontend/src/tabs/prediction/components/SimulationErrorModal.tsx b/frontend/src/tabs/prediction/components/SimulationErrorModal.tsx new file mode 100644 index 0000000..17eec82 --- /dev/null +++ b/frontend/src/tabs/prediction/components/SimulationErrorModal.tsx @@ -0,0 +1,110 @@ +interface SimulationErrorModalProps { + message: string; + onClose: () => void; +} + +const SimulationErrorModal = ({ message, onClose }: SimulationErrorModalProps) => { + return ( +
+
+ {/* 아이콘 + 제목 */} +
+
+ + + +
+
+
+ 확산 예측 실패 +
+
+ 시뮬레이션 실행 중 오류가 발생했습니다 +
+
+
+ + {/* 에러 메시지 */} +
+ {message} +
+ + {/* 확인 버튼 */} + +
+
+ ); +}; + +export default SimulationErrorModal; diff --git a/frontend/src/tabs/prediction/services/predictionApi.ts b/frontend/src/tabs/prediction/services/predictionApi.ts index 308d24d..0b3994e 100644 --- a/frontend/src/tabs/prediction/services/predictionApi.ts +++ b/frontend/src/tabs/prediction/services/predictionApi.ts @@ -18,6 +18,7 @@ export interface PredictionAnalysis { backtrackStatus: string; analyst: string; officeName: string; + acdntSttsCd: string; } export interface PredictionDetail { diff --git a/frontend/src/tabs/reports/components/ReportGenerator.tsx b/frontend/src/tabs/reports/components/ReportGenerator.tsx index 9e780fd..c478d59 100644 --- a/frontend/src/tabs/reports/components/ReportGenerator.tsx +++ b/frontend/src/tabs/reports/components/ReportGenerator.tsx @@ -343,13 +343,26 @@ function ReportGenerator({ onSave }: ReportGeneratorProps) {
)} - {sec.id === 'oil-coastal' && ( -

- 최초 부착시간: {oilPayload?.coastal?.firstTime ?? sampleOilData.coastal.firstTime} - {' / '} - 부착 해안길이: {oilPayload?.pollution.coastLength || sampleOilData.coastal.coastLength} -

- )} + {sec.id === 'oil-coastal' && (() => { + const coastLength = oilPayload?.pollution.coastLength; + const hasNoCoastal = oilPayload && ( + !coastLength || coastLength === '—' || coastLength.startsWith('0.00') + ); + if (hasNoCoastal) { + return ( +

+ 시뮬레이션 결과 유출유의 해안 부착이 없습니다. +

+ ); + } + return ( +

+ 최초 부착시간: {oilPayload?.coastal?.firstTime ?? sampleOilData.coastal.firstTime} + {' / '} + 부착 해안길이: {coastLength || sampleOilData.coastal.coastLength} +

+ ); + })()} {sec.id === 'oil-defense' && (

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