jeonghyo.k
e285f2330f
- 백엔드: backtrackAnalysisService 신규 개발 * AIS 기반 선박 항적 API 연동 및 공간 조회 * 공간(40%)/시간(25%)/행동(20%)/선박유형(15%) 가중치 위험도 점수 산정 * 상위 5척 리플레이 데이터 및 충돌 이벤트 생성 * Python 서버 미연동 시 폴백 메커니즘 제공 - 백엔드: 역추적 생성 시 동기 분석 → BacktrackResult 즉시 반환 - 프론트엔드: 모달에서 유출 시각/분석 범위/탐색 반경 직접 입력 가능 - 프론트엔드: 리플레이 바에 실제 분석 시간 범위 동적 표시 - DB: AIS_TRACK 테이블 신규 생성 (선박 항적 이력 + GIS 인덱스)
1346 lines
58 KiB
TypeScript
Executable File
1346 lines
58 KiB
TypeScript
Executable File
import { useState, useEffect, useCallback, useMemo, useRef } from 'react'
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import { LeftPanel } from './LeftPanel'
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import { RightPanel } from './RightPanel'
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import { MapView } from '@common/components/map/MapView'
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import { AnalysisListTable, type Analysis } from './AnalysisListTable'
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import { OilSpillTheoryView } from './OilSpillTheoryView'
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import { BoomDeploymentTheoryView } from './BoomDeploymentTheoryView'
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import { BacktrackModal } from './BacktrackModal'
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import { RecalcModal } from './RecalcModal'
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import { BacktrackReplayBar } from '@common/components/map/BacktrackReplayBar'
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import { useSubMenu, navigateToTab, setReportGenCategory, setOilReportPayload, type OilReportPayload } from '@common/hooks/useSubMenu'
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import { fetchWeatherSnapshotForCoord } from '@tabs/weather/services/weatherUtils'
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import { useWeatherSnapshotStore } from '@common/store/weatherSnapshotStore'
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import type { BoomLine, AlgorithmSettings, ContainmentResult, BoomLineCoord } from '@common/types/boomLine'
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import type { BacktrackPhase, BacktrackVessel, BacktrackConditions, BacktrackInputConditions, ReplayShip, CollisionEvent } from '@common/types/backtrack'
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import { TOTAL_REPLAY_FRAMES } from '@common/types/backtrack'
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import { fetchBacktrackByAcdnt, createBacktrack, fetchPredictionDetail, fetchAnalysisTrajectory, fetchSensitiveResources, fetchSensitiveResourcesGeojson } from '../services/predictionApi'
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import type { CenterPoint, HydrDataStep, ImageAnalyzeResult, OilParticle, PredictionDetail, RunModelSyncResponse, SimulationSummary, SensitiveResourceCategory, SensitiveResourceFeatureCollection, WindPoint } from '../services/predictionApi'
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import SimulationLoadingOverlay from './SimulationLoadingOverlay'
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import SimulationErrorModal from './SimulationErrorModal'
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import { api } from '@common/services/api'
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import { generateAIBoomLines, haversineDistance, pointInPolygon, polygonAreaKm2, circleAreaKm2 } from '@common/utils/geo'
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import { consumePendingImageAnalysis } from '@common/utils/imageAnalysisSignal'
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export type PredictionModel = 'KOSPS' | 'POSEIDON' | 'OpenDrift'
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const toLocalDateTimeStr = (raw: string): string => {
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const d = new Date(raw)
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if (isNaN(d.getTime())) return ''
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const pad = (n: number) => String(n).padStart(2, '0')
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return `${d.getFullYear()}-${pad(d.getMonth() + 1)}-${pad(d.getDate())}T${pad(d.getHours())}:${pad(d.getMinutes())}`
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}
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// ---------------------------------------------------------------------------
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// 민감자원 타입 + 데모 데이터
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// ---------------------------------------------------------------------------
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export interface SensitiveResource {
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id: string
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name: string
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type: 'aquaculture' | 'beach' | 'ecology' | 'intake'
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lat: number
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lon: number
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radiusM: number
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arrivalTimeH: number
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}
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export interface DisplayControls {
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showCurrent: boolean; // 유향/유속
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showWind: boolean; // 풍향/풍속
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showBeached: boolean; // 해안부착
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showTimeLabel: boolean; // 시간 표시
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showSensitiveResources: boolean; // 민감자원
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}
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// ---------------------------------------------------------------------------
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// 데모 궤적 생성 (seeded PRNG — deterministic)
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// ---------------------------------------------------------------------------
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function mulberry32(seed: number) {
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return () => {
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seed |= 0; seed = seed + 0x6D2B79F5 | 0
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let t = Math.imul(seed ^ seed >>> 15, 1 | seed)
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t = t + Math.imul(t ^ t >>> 7, 61 | t) ^ t
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return ((t ^ t >>> 14) >>> 0) / 4294967296
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}
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}
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const DEG2RAD = Math.PI / 180
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function generateDemoTrajectory(
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incident: { lat: number; lon: number },
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models: PredictionModel[],
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durationHours: number
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): Array<{ lat: number; lon: number; time: number; particle: number; model: PredictionModel }> {
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const result: Array<{ lat: number; lon: number; time: number; particle: number; model: PredictionModel }> = []
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const PARTICLES_PER_MODEL = 60
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const TIME_STEP = 3 // hours
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const modelParams: Record<PredictionModel, { bearing: number; speed: number; spread: number; seed: number }> = {
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KOSPS: { bearing: 200, speed: 0.003, spread: 0.008, seed: 42 },
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POSEIDON: { bearing: 210, speed: 0.0025, spread: 0.01, seed: 137 },
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OpenDrift: { bearing: 190, speed: 0.0035, spread: 0.006, seed: 271 },
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}
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for (const model of models) {
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const p = modelParams[model]
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const rng = mulberry32(p.seed)
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for (let pid = 0; pid < PARTICLES_PER_MODEL; pid++) {
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const particleAngleOffset = (rng() - 0.5) * 40 // ±20°
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const particleSpeedFactor = 0.7 + rng() * 0.6 // 0.7~1.3
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for (let t = 0; t <= durationHours; t += TIME_STEP) {
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const timeFactor = t / durationHours
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const bearing = (p.bearing + particleAngleOffset) * DEG2RAD
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const dist = p.speed * t * particleSpeedFactor
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const turbLat = (rng() - 0.5) * p.spread * timeFactor
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const turbLon = (rng() - 0.5) * p.spread * timeFactor
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const lat = incident.lat + dist * Math.cos(bearing) + turbLat
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const lon = incident.lon + dist * Math.sin(bearing) / Math.cos(incident.lat * DEG2RAD) + turbLon
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result.push({ lat, lon, time: t, particle: pid, model })
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}
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}
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}
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return result
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}
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// eslint-disable-next-line react-refresh/only-export-components
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export const ALL_MODELS: PredictionModel[] = ['KOSPS', 'POSEIDON', 'OpenDrift']
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export function OilSpillView() {
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const { activeSubTab, setActiveSubTab } = useSubMenu('prediction')
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const [enabledLayers, setEnabledLayers] = useState<Set<string>>(new Set())
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const [incidentCoord, setIncidentCoord] = useState<{ lon: number; lat: number } | null>(null)
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const [flyToCoord, setFlyToCoord] = useState<{ lon: number; lat: number } | undefined>(undefined)
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const flyToTarget = null
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const fitBoundsTarget = null
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const [isSelectingLocation, setIsSelectingLocation] = useState(false)
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const [oilTrajectory, setOilTrajectory] = useState<OilParticle[]>([])
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const [centerPoints, setCenterPoints] = useState<CenterPoint[]>([])
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const [windDataByModel, setWindDataByModel] = useState<Record<string, WindPoint[][]>>({})
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const [hydrDataByModel, setHydrDataByModel] = useState<Record<string, (HydrDataStep | null)[]>>({})
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const [windHydrModel, setWindHydrModel] = useState<string>('OpenDrift')
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const [isRunningSimulation, setIsRunningSimulation] = useState(false)
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const [simulationProgress, setSimulationProgress] = useState(0)
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const progressTimerRef = useRef<ReturnType<typeof setInterval> | null>(null)
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const [simulationError, setSimulationError] = useState<string | null>(null)
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const [selectedModels, setSelectedModels] = useState<Set<PredictionModel>>(new Set(['OpenDrift']))
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const [visibleModels, setVisibleModels] = useState<Set<PredictionModel>>(new Set(['OpenDrift']))
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const [predictionTime, setPredictionTime] = useState(48)
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const [accidentTime, setAccidentTime] = useState<string>('')
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const [spillType, setSpillType] = useState('연속')
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const [oilType, setOilType] = useState('벙커C유')
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const [spillAmount, setSpillAmount] = useState(100)
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const [incidentName, setIncidentName] = useState('')
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const [spillUnit, setSpillUnit] = useState('kL')
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// 민감자원
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const [sensitiveResources, setSensitiveResources] = useState<SensitiveResource[]>([])
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const [sensitiveResourceCategories, setSensitiveResourceCategories] = useState<SensitiveResourceCategory[]>([])
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const [sensitiveResourceGeojson, setSensitiveResourceGeojson] = useState<SensitiveResourceFeatureCollection | null>(null)
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// 오일펜스 배치 상태
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const [boomLines, setBoomLines] = useState<BoomLine[]>([])
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const [algorithmSettings, setAlgorithmSettings] = useState<AlgorithmSettings>({
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currentOrthogonalCorrection: 15,
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safetyMarginMinutes: 60,
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minContainmentEfficiency: 80,
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waveHeightCorrectionFactor: 1.0,
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})
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const [isDrawingBoom, setIsDrawingBoom] = useState(false)
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const [drawingPoints, setDrawingPoints] = useState<BoomLineCoord[]>([])
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const [containmentResult, setContainmentResult] = useState<ContainmentResult | null>(null)
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// 레이어 스타일 (투명도 / 밝기)
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const [layerOpacity, setLayerOpacity] = useState(50)
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const [layerBrightness, setLayerBrightness] = useState(50)
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// 표시 정보 제어
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const [displayControls, setDisplayControls] = useState<DisplayControls>({
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showCurrent: true,
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showWind: false,
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showBeached: false,
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showTimeLabel: false,
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showSensitiveResources: false,
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})
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// 타임라인 플레이어 상태
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const [isPlaying, setIsPlaying] = useState(false)
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const [currentStep, setCurrentStep] = useState(0) // 현재 시간값 (시간 단위)
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const [playSpeed, setPlaySpeed] = useState(1)
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// 역추적 상태
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const [backtrackModalOpen, setBacktrackModalOpen] = useState(false)
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const [backtrackPhase, setBacktrackPhase] = useState<BacktrackPhase>('conditions')
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const [backtrackVessels, setBacktrackVessels] = useState<BacktrackVessel[]>([])
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const [isReplayActive, setIsReplayActive] = useState(false)
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const [isReplayPlaying, setIsReplayPlaying] = useState(false)
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const [replayFrame, setReplayFrame] = useState(0)
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const [replaySpeed, setReplaySpeed] = useState(1)
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// 선택된 분석 (목록에서 클릭 시)
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const [selectedAnalysis, setSelectedAnalysis] = useState<Analysis | null>(null)
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// 분석 상세 (API에서 가져온 선박/기상 정보)
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const [analysisDetail, setAnalysisDetail] = useState<PredictionDetail | null>(null)
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// 역추적 API 데이터
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const [backtrackConditions, setBacktrackConditions] = useState<BacktrackConditions>({
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estimatedSpillTime: '', analysisRange: '±12시간', searchRadius: '10 NM',
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spillLocation: { lat: 37.3883, lon: 126.6435 }, totalVessels: 0,
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})
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const [replayShips, setReplayShips] = useState<ReplayShip[]>([])
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const [collisionEvent, setCollisionEvent] = useState<CollisionEvent | null>(null)
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const [replayTimeRange, setReplayTimeRange] = useState<{ start: string; end: string } | null>(null)
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// 재계산 상태
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const [recalcModalOpen, setRecalcModalOpen] = useState(false)
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const [simulationSummary, setSimulationSummary] = useState<SimulationSummary | null>(null)
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const [summaryByModel, setSummaryByModel] = useState<Record<string, SimulationSummary>>({})
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const [stepSummariesByModel, setStepSummariesByModel] = useState<Record<string, SimulationSummary[]>>({})
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// 펜스차단량 계산 (오일붐 차단 효율 × 총 유류량)
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const boomBlockedVolume = useMemo(() => {
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if (!containmentResult || !simulationSummary) return 0;
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const totalVolumeM3 = simulationSummary.remainingVolume + simulationSummary.weatheredVolume + simulationSummary.beachedVolume;
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return totalVolumeM3 * (containmentResult.overallEfficiency / 100);
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}, [containmentResult, simulationSummary])
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// 오염분석 상태
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const [analysisTab, setAnalysisTab] = useState<'polygon' | 'circle'>('polygon')
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const [drawAnalysisMode, setDrawAnalysisMode] = useState<'polygon' | null>(null)
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const [analysisPolygonPoints, setAnalysisPolygonPoints] = useState<{ lat: number; lon: number }[]>([])
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const [circleRadiusNm, setCircleRadiusNm] = useState<number>(5)
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const [analysisResult, setAnalysisResult] = useState<{ area: number; particleCount: number; particlePercent: number; sensitiveCount: number } | null>(null)
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// 원 분석용 derived 값 (state 아님)
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const analysisCircleCenter = analysisTab === 'circle' && incidentCoord ? incidentCoord : null
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const analysisCircleRadiusM = circleRadiusNm * 1852
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const handleToggleLayer = (layerId: string, enabled: boolean) => {
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setEnabledLayers(prev => {
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const newSet = new Set(prev)
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if (enabled) {
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newSet.add(layerId)
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} else {
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newSet.delete(layerId)
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}
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return newSet
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})
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}
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// 역추적: API에서 기존 결과 로딩
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const loadBacktrackData = useCallback(async (acdntSn: number) => {
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try {
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const bt = await fetchBacktrackByAcdnt(acdntSn)
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if (bt && bt.execSttsCd === 'COMPLETED' && bt.rsltData) {
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const rslt = bt.rsltData as Record<string, unknown>
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if (Array.isArray(rslt.vessels)) {
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setBacktrackVessels(rslt.vessels as BacktrackVessel[])
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}
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if (Array.isArray(rslt.replayShips)) {
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setReplayShips(rslt.replayShips as ReplayShip[])
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}
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if (rslt.collisionEvent) {
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setCollisionEvent(rslt.collisionEvent as CollisionEvent)
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}
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if (rslt['timeRange']) {
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setReplayTimeRange(rslt['timeRange'] as { start: string; end: string })
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}
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setBacktrackConditions({
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estimatedSpillTime: bt.estSpilDtm ? new Date(bt.estSpilDtm).toLocaleString('ko-KR', { month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit' }) : '',
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analysisRange: bt.anlysRange || '±12시간',
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searchRadius: bt.srchRadiusNm ? `${bt.srchRadiusNm} NM` : '10 NM',
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spillLocation: { lat: bt.lat || incidentCoord?.lat || 0, lon: bt.lon || incidentCoord?.lon || 0 },
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totalVessels: bt.totalVessels || 0,
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})
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setBacktrackPhase('results')
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return
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}
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} catch (err) {
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console.error('[prediction] 역추적 데이터 로딩 실패:', err)
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}
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// 기존 결과 없으면 conditions 상태 유지
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setBacktrackPhase('conditions')
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setBacktrackVessels([])
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setReplayShips([])
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setCollisionEvent(null)
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}, [incidentCoord])
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// 역추적 핸들러
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const handleOpenBacktrack = () => {
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setBacktrackModalOpen(true)
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setBacktrackConditions(prev => ({
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...prev,
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spillLocation: incidentCoord ?? prev.spillLocation,
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estimatedSpillTime: selectedAnalysis?.occurredAt
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? toLocalDateTimeStr(selectedAnalysis.occurredAt)
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: prev.estimatedSpillTime,
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}))
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if (selectedAnalysis) {
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loadBacktrackData(selectedAnalysis.acdntSn)
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} else {
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setBacktrackPhase('conditions')
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setBacktrackVessels([])
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}
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}
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const handleRunBacktrackAnalysis = async (input: BacktrackInputConditions) => {
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if (!incidentCoord || !selectedAnalysis) return
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setBacktrackPhase('analyzing')
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try {
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const anlysRangeStr = `±${input.analysisRange}시간`
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const bt = await createBacktrack({
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acdntSn: selectedAnalysis.acdntSn,
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lon: incidentCoord.lon,
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lat: incidentCoord.lat,
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estSpilDtm: input.estimatedSpillTime ? new Date(input.estimatedSpillTime).toISOString() : undefined,
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anlysRange: anlysRangeStr,
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srchRadiusNm: input.searchRadius,
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})
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if (bt.execSttsCd === 'COMPLETED' && bt.rsltData) {
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const rslt = bt.rsltData as Record<string, unknown>
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if (Array.isArray(rslt['vessels'])) setBacktrackVessels(rslt['vessels'] as BacktrackVessel[])
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if (Array.isArray(rslt['replayShips'])) setReplayShips(rslt['replayShips'] as ReplayShip[])
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if (rslt['collisionEvent']) setCollisionEvent(rslt['collisionEvent'] as CollisionEvent)
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if (rslt['timeRange']) setReplayTimeRange(rslt['timeRange'] as { start: string; end: string })
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setBacktrackConditions(prev => ({ ...prev, totalVessels: bt.totalVessels || 0 }))
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setBacktrackPhase('results')
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} else {
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console.error('[prediction] 역추적 분석 실패:', bt.execSttsCd)
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setBacktrackPhase('conditions')
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}
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} catch (err) {
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console.error('[prediction] 역추적 분석 실패:', err)
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setBacktrackPhase('conditions')
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}
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}
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const handleStartReplay = () => {
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setBacktrackModalOpen(false)
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setIsReplayActive(true)
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setReplayFrame(0)
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setIsReplayPlaying(false)
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}
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const handleCloseReplay = () => {
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setIsReplayActive(false)
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setIsReplayPlaying(false)
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setReplayFrame(0)
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}
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||
// 역추적 리플레이 애니메이션
|
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useEffect(() => {
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if (!isReplayPlaying) return
|
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const interval = setInterval(() => {
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setReplayFrame(prev => {
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const next = prev + 1
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if (next >= TOTAL_REPLAY_FRAMES) {
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setIsReplayPlaying(false)
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return TOTAL_REPLAY_FRAMES
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}
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return next
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})
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}, 50 / replaySpeed)
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return () => clearInterval(interval)
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}, [isReplayPlaying, replaySpeed])
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// flyTo 완료 후 재생 대기 플래그
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const pendingPlayRef = useRef(false)
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// 항공 이미지 분석 완료 후 자동실행 플래그
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const pendingAutoRunRef = useRef(false)
|
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// 마운트 시 이미지 분석 시그널 확인 (유출유면적분석 탭에서 이동한 경우)
|
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useEffect(() => {
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const pending = consumePendingImageAnalysis()
|
||
if (!pending) return
|
||
handleImageAnalysisResult({
|
||
acdntSn: pending.acdntSn,
|
||
lat: pending.lat,
|
||
lon: pending.lon,
|
||
oilType: pending.oilType,
|
||
area: pending.area,
|
||
volume: pending.volume,
|
||
fileId: pending.fileId,
|
||
occurredAt: pending.occurredAt,
|
||
})
|
||
if (pending.autoRun) pendingAutoRunRef.current = true
|
||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||
}, [])
|
||
|
||
// incidentCoord 업데이트 후 시뮬레이션 자동실행
|
||
useEffect(() => {
|
||
if (pendingAutoRunRef.current && incidentCoord) {
|
||
pendingAutoRunRef.current = false
|
||
handleRunSimulation()
|
||
}
|
||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||
}, [incidentCoord])
|
||
|
||
const handleFlyEnd = useCallback(() => {
|
||
setFlyToCoord(undefined)
|
||
if (pendingPlayRef.current) {
|
||
pendingPlayRef.current = false
|
||
setIsPlaying(true)
|
||
}
|
||
}, [])
|
||
|
||
|
||
// trajectory 변경 시 플레이어 스텝 초기화 (재생은 각 경로에서 별도 처리)
|
||
useEffect(() => {
|
||
if (oilTrajectory.length > 0) {
|
||
setCurrentStep(0);
|
||
}
|
||
}, [oilTrajectory.length]);
|
||
|
||
useEffect(() => {
|
||
return () => {
|
||
if (progressTimerRef.current) clearInterval(progressTimerRef.current);
|
||
};
|
||
}, []);
|
||
|
||
// visibleModels 변경 시 windHydrModel 동기화
|
||
useEffect(() => {
|
||
if (visibleModels.size === 0) return;
|
||
if (visibleModels.size === 1) {
|
||
// 단일 모델 → 항상 해당 모델로 동기화
|
||
setWindHydrModel(Array.from(visibleModels)[0]);
|
||
} else if (!visibleModels.has(windHydrModel as PredictionModel)) {
|
||
// 다중 모델이지만 현재 선택이 사라진 경우 → fallback
|
||
const preferred: PredictionModel[] = ['OpenDrift', 'POSEIDON', 'KOSPS'];
|
||
const next = preferred.find(m => visibleModels.has(m)) ?? Array.from(visibleModels)[0];
|
||
setWindHydrModel(next);
|
||
}
|
||
}, [visibleModels]);
|
||
|
||
// 플레이어 재생 애니메이션 (1x = 1초/스텝, 2x = 0.5초/스텝, 4x = 0.25초/스텝)
|
||
const timeSteps = useMemo(() => {
|
||
if (oilTrajectory.length === 0) return [];
|
||
const unique = [...new Set(oilTrajectory.map(p => p.time))].sort((a, b) => a - b);
|
||
return unique;
|
||
}, [oilTrajectory]);
|
||
|
||
const maxTime = timeSteps[timeSteps.length - 1] ?? predictionTime;
|
||
|
||
// 유향유속/풍향풍속 데이터 — 선택한 모델 기준으로 파생
|
||
const windHydrModelOptions = useMemo(() => Array.from(visibleModels), [visibleModels])
|
||
const windData = useMemo(
|
||
() => windDataByModel[windHydrModel] ?? [],
|
||
[windDataByModel, windHydrModel]
|
||
)
|
||
const hydrData = useMemo(
|
||
() => hydrDataByModel[windHydrModel] ?? [],
|
||
[hydrDataByModel, windHydrModel]
|
||
)
|
||
|
||
useEffect(() => {
|
||
if (!isPlaying || timeSteps.length === 0) return;
|
||
if (currentStep >= maxTime) {
|
||
setIsPlaying(false);
|
||
return;
|
||
}
|
||
const ms = 1000 / playSpeed;
|
||
const id = setInterval(() => {
|
||
setCurrentStep(prev => {
|
||
const idx = timeSteps.indexOf(prev);
|
||
if (idx < 0 || idx >= timeSteps.length - 1) {
|
||
setIsPlaying(false);
|
||
return timeSteps[timeSteps.length - 1];
|
||
}
|
||
return timeSteps[idx + 1];
|
||
});
|
||
}, ms);
|
||
return () => clearInterval(id);
|
||
}, [isPlaying, currentStep, playSpeed, timeSteps, maxTime]);
|
||
|
||
// 분석 목록에서 사고명 클릭 시
|
||
const handleSelectAnalysis = async (analysis: Analysis) => {
|
||
setIsPlaying(false)
|
||
setCurrentStep(0)
|
||
setSelectedAnalysis(analysis)
|
||
setCenterPoints([])
|
||
if (analysis.occurredAt) {
|
||
setAccidentTime(toLocalDateTimeStr(analysis.occurredAt))
|
||
}
|
||
if (analysis.lon != null && analysis.lat != null) {
|
||
setIncidentCoord({ lon: analysis.lon, lat: analysis.lat })
|
||
setFlyToCoord({ lon: analysis.lon, lat: analysis.lat })
|
||
}
|
||
// 유종 매핑
|
||
const oilTypeMap: Record<string, string> = {
|
||
'BUNKER_C': '벙커C유', 'DIESEL': '경유', 'CRUDE_OIL': '원유', 'LUBE_OIL': '윤활유',
|
||
}
|
||
setOilType(oilTypeMap[analysis.oilType] || '벙커C유')
|
||
setSpillAmount(analysis.volume ?? 100)
|
||
setPredictionTime(parseInt(analysis.duration) || 48)
|
||
// 모델 상태에 따라 선택 모델 설정
|
||
const models = new Set<PredictionModel>()
|
||
if (analysis.kospsStatus !== 'pending') models.add('KOSPS')
|
||
if (analysis.poseidonStatus !== 'pending') models.add('POSEIDON')
|
||
if (analysis.opendriftStatus !== 'pending') models.add('OpenDrift')
|
||
setSelectedModels(models)
|
||
setVisibleModels(models)
|
||
// 분석 상세 로딩 (선박/기상 정보)
|
||
try {
|
||
const detail = await fetchPredictionDetail(analysis.acdntSn)
|
||
setAnalysisDetail(detail)
|
||
} catch (err) {
|
||
console.error('[prediction] 분석 상세 로딩 실패:', err)
|
||
}
|
||
// 분석 화면으로 전환
|
||
setActiveSubTab('analysis')
|
||
|
||
const coord = (analysis.lon != null && analysis.lat != null)
|
||
? { lon: analysis.lon, lat: analysis.lat }
|
||
: incidentCoord
|
||
const demoModels = Array.from(models.size > 0 ? models : new Set<PredictionModel>(['KOSPS']))
|
||
|
||
// 완료된 모델이 있는 경우 실제 궤적 로드, 없으면 데모로 fallback
|
||
const hasCompletedModel =
|
||
analysis.opendriftStatus === 'completed' || analysis.poseidonStatus === 'completed';
|
||
if (hasCompletedModel) {
|
||
try {
|
||
const { trajectory, summary, centerPoints: cp, windDataByModel: wdByModel, hydrDataByModel: hdByModel, summaryByModel: sbModel, stepSummariesByModel: stepSbModel } = await fetchAnalysisTrajectory(analysis.acdntSn, analysis.predRunSn ?? undefined)
|
||
if (trajectory && trajectory.length > 0) {
|
||
setOilTrajectory(trajectory)
|
||
if (summary) setSimulationSummary(summary)
|
||
setCenterPoints(cp ?? [])
|
||
setWindDataByModel(wdByModel ?? {});
|
||
setHydrDataByModel(hdByModel ?? {});
|
||
if (sbModel) setSummaryByModel(sbModel);
|
||
if (stepSbModel) setStepSummariesByModel(stepSbModel);
|
||
if (coord) setBoomLines(generateAIBoomLines(trajectory, coord, algorithmSettings))
|
||
setSensitiveResources([])
|
||
fetchSensitiveResources(analysis.acdntSn)
|
||
.then(setSensitiveResourceCategories)
|
||
.catch(err => console.warn('[prediction] 민감자원 조회 실패:', err))
|
||
fetchSensitiveResourcesGeojson(analysis.acdntSn)
|
||
.then(setSensitiveResourceGeojson)
|
||
.catch(err => console.warn('[prediction] 민감자원 GeoJSON 조회 실패:', err))
|
||
// incidentCoord가 변경된 경우 flyTo 완료 후 재생, 그렇지 않으면 즉시 재생
|
||
if (analysis.lon !== incidentCoord?.lon || analysis.lat !== incidentCoord?.lat) {
|
||
pendingPlayRef.current = true
|
||
} else {
|
||
setIsPlaying(true)
|
||
}
|
||
return
|
||
}
|
||
} catch (err) {
|
||
console.error('[prediction] trajectory 로딩 실패, 데모로 fallback:', err)
|
||
}
|
||
}
|
||
|
||
// 데모 궤적 생성 (fallback) — stale wind/current 데이터 초기화
|
||
setWindDataByModel({})
|
||
setHydrDataByModel({})
|
||
setSummaryByModel({})
|
||
setStepSummariesByModel({})
|
||
const demoTrajectory = generateDemoTrajectory(coord ?? { lat: 37.39, lon: 126.64 }, demoModels, parseInt(analysis.duration) || 48)
|
||
setOilTrajectory(demoTrajectory)
|
||
if (coord) setBoomLines(generateAIBoomLines(demoTrajectory, coord, algorithmSettings))
|
||
setSensitiveResources([])
|
||
setSensitiveResourceCategories([])
|
||
// incidentCoord가 변경된 경우 flyTo 완료 후 재생, 그렇지 않으면 즉시 재생
|
||
if (analysis.lon !== incidentCoord?.lon || analysis.lat !== incidentCoord?.lat) {
|
||
pendingPlayRef.current = true
|
||
} else {
|
||
setIsPlaying(true)
|
||
}
|
||
}
|
||
|
||
const handleMapClick = (lon: number, lat: number) => {
|
||
if (isDrawingBoom) {
|
||
setDrawingPoints(prev => [...prev, { lat, lon }])
|
||
} else if (drawAnalysisMode === 'polygon') {
|
||
setAnalysisPolygonPoints(prev => [...prev, { lat, lon }])
|
||
} else if (isSelectingLocation) {
|
||
setIncidentCoord({ lon, lat })
|
||
setIsSelectingLocation(false)
|
||
}
|
||
}
|
||
|
||
const handleStartPolygonDraw = () => {
|
||
setDrawAnalysisMode('polygon')
|
||
setAnalysisPolygonPoints([])
|
||
setAnalysisResult(null)
|
||
}
|
||
|
||
const handleRunPolygonAnalysis = async () => {
|
||
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 = async () => {
|
||
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 })
|
||
setAccidentTime(toLocalDateTimeStr(result.occurredAt))
|
||
setOilType(result.oilType)
|
||
setSpillAmount(parseFloat(result.volume.toFixed(4)))
|
||
setSpillUnit('kL')
|
||
setSelectedAnalysis({
|
||
acdntSn: result.acdntSn,
|
||
acdntNm: '',
|
||
occurredAt: result.occurredAt,
|
||
analysisDate: '',
|
||
requestor: '',
|
||
duration: '48',
|
||
oilType: result.oilType,
|
||
volume: result.volume,
|
||
location: '',
|
||
lat: result.lat,
|
||
lon: result.lon,
|
||
kospsStatus: 'pending',
|
||
poseidonStatus: 'pending',
|
||
opendriftStatus: 'pending',
|
||
backtrackStatus: 'pending',
|
||
analyst: '',
|
||
officeName: '',
|
||
acdntSttsCd: 'ACTIVE',
|
||
})
|
||
}, [])
|
||
|
||
const startProgressTimer = useCallback((runTimeHours: number) => {
|
||
const expectedMs = runTimeHours * 6000;
|
||
const startTime = Date.now();
|
||
progressTimerRef.current = setInterval(() => {
|
||
const elapsed = Date.now() - startTime;
|
||
setSimulationProgress(Math.min(90, Math.round((elapsed / expectedMs) * 90)));
|
||
}, 500);
|
||
}, []);
|
||
|
||
const stopProgressTimer = useCallback((completed: boolean) => {
|
||
if (progressTimerRef.current) {
|
||
clearInterval(progressTimerRef.current);
|
||
progressTimerRef.current = null;
|
||
}
|
||
if (completed) {
|
||
setSimulationProgress(100);
|
||
setTimeout(() => setSimulationProgress(0), 800);
|
||
} else {
|
||
setSimulationProgress(0);
|
||
}
|
||
}, []);
|
||
|
||
const handleRunSimulation = async (overrides?: {
|
||
models?: Set<PredictionModel>;
|
||
oilType?: string;
|
||
spillAmount?: number;
|
||
spillType?: string;
|
||
predictionTime?: number;
|
||
incidentCoord?: { lat: number; lon: number } | null;
|
||
}) => {
|
||
// incidentName이 있으면 직접 입력 모드 — 기존 selectedAnalysis.acdntSn 무시하고 새 사고 생성
|
||
const isDirectInput = incidentName.trim().length > 0;
|
||
const existingAcdntSn = isDirectInput
|
||
? undefined
|
||
: (selectedAnalysis?.acdntSn ?? analysisDetail?.acdnt?.acdntSn);
|
||
|
||
const effectiveCoord = overrides?.incidentCoord ?? incidentCoord;
|
||
if (!isDirectInput && !existingAcdntSn) return;
|
||
if (!effectiveCoord) return;
|
||
|
||
const effectiveOilType = overrides?.oilType ?? oilType;
|
||
const effectiveSpillAmount = overrides?.spillAmount ?? spillAmount;
|
||
const effectiveSpillType = overrides?.spillType ?? spillType;
|
||
const effectivePredictionTime = overrides?.predictionTime ?? predictionTime;
|
||
const effectiveModels = overrides?.models ?? selectedModels;
|
||
|
||
setIsRunningSimulation(true);
|
||
setSimulationSummary(null);
|
||
startProgressTimer(effectivePredictionTime);
|
||
let simulationSucceeded = false;
|
||
try {
|
||
const payload: Record<string, unknown> = {
|
||
acdntSn: existingAcdntSn,
|
||
lat: effectiveCoord.lat,
|
||
lon: effectiveCoord.lon,
|
||
runTime: effectivePredictionTime,
|
||
matTy: effectiveOilType,
|
||
matVol: effectiveSpillAmount,
|
||
spillTime: effectiveSpillType === '연속' ? effectivePredictionTime : 0,
|
||
startTime: accidentTime
|
||
? `${accidentTime}:00`
|
||
: analysisDetail?.acdnt?.occurredAt,
|
||
models: Array.from(effectiveModels),
|
||
};
|
||
|
||
if (isDirectInput) {
|
||
payload.acdntNm = incidentName.trim();
|
||
payload.spillUnit = spillUnit;
|
||
payload.spillTypeCd = spillType;
|
||
}
|
||
|
||
// 동기 방식: 예측 완료 시 결과를 직접 반환 (최대 35분 대기)
|
||
const { data } = await api.post<RunModelSyncResponse>('/simulation/run-model', payload, {
|
||
timeout: 35 * 60 * 1000,
|
||
});
|
||
|
||
// 직접 입력으로 신규 생성된 경우: selectedAnalysis 갱신 + incidentName 초기화
|
||
if (data.acdntSn && isDirectInput) {
|
||
setSelectedAnalysis({
|
||
acdntSn: data.acdntSn,
|
||
acdntNm: incidentName.trim(),
|
||
occurredAt: accidentTime ? `${accidentTime}:00` : '',
|
||
analysisDate: new Date().toISOString(),
|
||
requestor: '',
|
||
duration: String(predictionTime),
|
||
oilType,
|
||
volume: spillAmount,
|
||
location: '',
|
||
lat: effectiveCoord.lat,
|
||
lon: effectiveCoord.lon,
|
||
kospsStatus: 'pending',
|
||
poseidonStatus: 'pending',
|
||
opendriftStatus: 'pending',
|
||
backtrackStatus: 'pending',
|
||
analyst: '',
|
||
officeName: '',
|
||
} as Analysis);
|
||
setIncidentName('');
|
||
}
|
||
|
||
// 결과 처리
|
||
const merged: OilParticle[] = [];
|
||
let latestSummary: SimulationSummary | null = null;
|
||
let latestCenterPoints: CenterPoint[] = [];
|
||
const newWindDataByModel: Record<string, WindPoint[][]> = {};
|
||
const newHydrDataByModel: Record<string, (HydrDataStep | null)[]> = {};
|
||
const newSummaryByModel: Record<string, SimulationSummary> = {};
|
||
const newStepSummariesByModel: Record<string, SimulationSummary[]> = {};
|
||
const errors: string[] = [];
|
||
|
||
data.results.forEach(({ model, status, trajectory, summary, stepSummaries, centerPoints, windData, hydrData, error }) => {
|
||
if (status === 'ERROR') {
|
||
errors.push(error || `${model} 분석 중 오류가 발생했습니다.`);
|
||
return;
|
||
}
|
||
if (trajectory) {
|
||
merged.push(...trajectory.map(p => ({ ...p, model })));
|
||
}
|
||
if (summary) {
|
||
newSummaryByModel[model] = summary;
|
||
if (model === 'OpenDrift' || !latestSummary) latestSummary = summary;
|
||
}
|
||
if (stepSummaries) newStepSummariesByModel[model] = stepSummaries;
|
||
if (windData) newWindDataByModel[model] = windData;
|
||
if (hydrData) newHydrDataByModel[model] = hydrData;
|
||
if (centerPoints) {
|
||
latestCenterPoints = [...latestCenterPoints, ...centerPoints.map(p => ({ ...p, model }))];
|
||
}
|
||
});
|
||
|
||
if (merged.length > 0) {
|
||
setOilTrajectory(merged);
|
||
const doneModels = new Set<PredictionModel>(
|
||
data.results
|
||
.filter(r => r.status === 'DONE' && r.trajectory && r.trajectory.length > 0)
|
||
.map(r => r.model as PredictionModel)
|
||
);
|
||
setVisibleModels(doneModels);
|
||
setSimulationSummary(latestSummary);
|
||
setCenterPoints(latestCenterPoints);
|
||
|
||
const refWindData = newWindDataByModel['OpenDrift'] ?? Object.values(newWindDataByModel)[0];
|
||
const refHydrData = newHydrDataByModel['OpenDrift'] ?? Object.values(newHydrDataByModel)[0];
|
||
doneModels.forEach(model => {
|
||
if (!newWindDataByModel[model] && refWindData) newWindDataByModel[model] = refWindData;
|
||
if (!newHydrDataByModel[model] && refHydrData) newHydrDataByModel[model] = refHydrData;
|
||
});
|
||
|
||
setWindDataByModel(newWindDataByModel);
|
||
setHydrDataByModel(newHydrDataByModel);
|
||
setSummaryByModel(newSummaryByModel);
|
||
setStepSummariesByModel(newStepSummariesByModel);
|
||
const booms = generateAIBoomLines(merged, effectiveCoord, algorithmSettings);
|
||
setBoomLines(booms);
|
||
setSensitiveResources([]);
|
||
setCurrentStep(0);
|
||
setIsPlaying(true);
|
||
setFlyToCoord({ lon: effectiveCoord.lon, lat: effectiveCoord.lat });
|
||
}
|
||
|
||
if (errors.length > 0 && merged.length === 0) {
|
||
setSimulationError(errors.join('; '));
|
||
} else {
|
||
simulationSucceeded = true;
|
||
const effectiveAcdntSn = data.acdntSn ?? selectedAnalysis?.acdntSn;
|
||
if (effectiveCoord) {
|
||
fetchWeatherSnapshotForCoord(effectiveCoord.lat, effectiveCoord.lon)
|
||
.then(snapshot => {
|
||
useWeatherSnapshotStore.getState().setSnapshot(snapshot);
|
||
if (effectiveAcdntSn) {
|
||
api.post(`/incidents/${effectiveAcdntSn}/weather`, snapshot)
|
||
.catch(err => console.warn('[weather] 기상 저장 실패:', err));
|
||
}
|
||
})
|
||
.catch(err => console.warn('[weather] 기상 데이터 수집 실패:', err));
|
||
}
|
||
if (effectiveAcdntSn) {
|
||
fetchSensitiveResources(effectiveAcdntSn)
|
||
.then(setSensitiveResourceCategories)
|
||
.catch(err => console.warn('[prediction] 민감자원 조회 실패:', err));
|
||
fetchSensitiveResourcesGeojson(effectiveAcdntSn)
|
||
.then(setSensitiveResourceGeojson)
|
||
.catch(err => console.warn('[prediction] 민감자원 GeoJSON 조회 실패:', err));
|
||
}
|
||
}
|
||
} catch (err) {
|
||
const msg =
|
||
(err as { message?: string })?.message
|
||
?? '시뮬레이션 실행 중 오류가 발생했습니다.';
|
||
setSimulationError(msg);
|
||
} finally {
|
||
stopProgressTimer(simulationSucceeded);
|
||
setIsRunningSimulation(false);
|
||
}
|
||
}
|
||
|
||
const handleOpenReport = () => {
|
||
const OIL_TYPE_CODE: Record<string, string> = {
|
||
'벙커C유': 'BUNKER_C', '경유': 'DIESEL', '원유': 'CRUDE_OIL', '윤활유': 'LUBE_OIL',
|
||
};
|
||
const accidentName =
|
||
selectedAnalysis?.acdntNm ||
|
||
analysisDetail?.acdnt?.acdntNm ||
|
||
incidentName ||
|
||
'(미입력)';
|
||
const occurTime =
|
||
selectedAnalysis?.occurredAt ||
|
||
analysisDetail?.acdnt?.occurredAt ||
|
||
accidentTime ||
|
||
'';
|
||
const wx = analysisDetail?.weather?.[0] ?? null;
|
||
const weatherSnapshot = useWeatherSnapshotStore.getState().snapshot;
|
||
|
||
const payload: OilReportPayload = {
|
||
incident: {
|
||
name: accidentName,
|
||
occurTime,
|
||
location: selectedAnalysis?.location || analysisDetail?.acdnt?.location || (() => {
|
||
const _lat = incidentCoord?.lat ?? selectedAnalysis?.lat ?? null;
|
||
const _lon = incidentCoord?.lon ?? selectedAnalysis?.lon ?? null;
|
||
return (_lat != null && _lon != null)
|
||
? `위도 ${Number(_lat).toFixed(4)}, 경도 ${Number(_lon).toFixed(4)}`
|
||
: '';
|
||
})(),
|
||
lat: incidentCoord?.lat ?? selectedAnalysis?.lat ?? null,
|
||
lon: incidentCoord?.lon ?? selectedAnalysis?.lon ?? null,
|
||
pollutant: OIL_TYPE_CODE[oilType] || oilType,
|
||
spillAmount: `${spillAmount} ${spillUnit}`,
|
||
shipName: analysisDetail?.vessels?.[0]?.vesselNm || '',
|
||
},
|
||
pollution: {
|
||
spillAmount: `${spillAmount.toFixed(2)} ${spillUnit}`,
|
||
weathered: simulationSummary ? `${simulationSummary.weatheredVolume.toFixed(2)} m³` : '—',
|
||
seaRemain: simulationSummary ? `${simulationSummary.remainingVolume.toFixed(2)} m³` : '—',
|
||
pollutionArea: simulationSummary ? `${simulationSummary.pollutionArea.toFixed(2)} km²` : '—',
|
||
coastAttach: simulationSummary ? `${simulationSummary.beachedVolume.toFixed(2)} m³` : '—',
|
||
coastLength: simulationSummary ? `${simulationSummary.pollutionCoastLength.toFixed(2)} km` : '—',
|
||
oilType: OIL_TYPE_CODE[oilType] || oilType,
|
||
},
|
||
weather: (() => {
|
||
if (weatherSnapshot) {
|
||
return {
|
||
windDir: `${weatherSnapshot.wind.directionLabel} ${weatherSnapshot.wind.direction}°`,
|
||
windSpeed: `${weatherSnapshot.wind.speed.toFixed(1)} m/s`,
|
||
waveHeight: `${weatherSnapshot.wave.height.toFixed(1)} m`,
|
||
temp: `${weatherSnapshot.temperature.current.toFixed(1)} °C`,
|
||
pressure: `${weatherSnapshot.pressure} hPa`,
|
||
visibility: `${weatherSnapshot.visibility} km`,
|
||
salinity: `${weatherSnapshot.salinity} PSU`,
|
||
waveMaxHeight: `${weatherSnapshot.wave.maxHeight.toFixed(1)} m`,
|
||
wavePeriod: `${weatherSnapshot.wave.period} s`,
|
||
currentDir: '',
|
||
currentSpeed: '',
|
||
};
|
||
}
|
||
if (wx) {
|
||
return { windDir: wx.wind, windSpeed: wx.wind, waveHeight: wx.wave, temp: wx.temp };
|
||
}
|
||
return null;
|
||
})(),
|
||
spread: (() => {
|
||
const fmt = (model: string) => {
|
||
const s = summaryByModel[model];
|
||
return s ? `${s.pollutionArea.toFixed(2)} km²` : '—';
|
||
};
|
||
return { kosps: fmt('KOSPS'), openDrift: fmt('OpenDrift'), poseidon: fmt('POSEIDON') };
|
||
})(),
|
||
coastal: {
|
||
firstTime: (() => {
|
||
const beachedTimes = oilTrajectory.filter(p => p.stranded === 1).map(p => p.time);
|
||
if (beachedTimes.length === 0) return null;
|
||
const d = new Date(Math.min(...beachedTimes) * 1000);
|
||
return `${String(d.getHours()).padStart(2, '0')}:${String(d.getMinutes()).padStart(2, '0')}`;
|
||
})(),
|
||
},
|
||
spreadSteps: (() => {
|
||
const steps = stepSummariesByModel[windHydrModel] ?? [];
|
||
const toRow = (elapsed: string, s: typeof steps[0] | undefined) => ({
|
||
elapsed,
|
||
weathered: s ? s.weatheredVolume.toFixed(2) : '',
|
||
seaRemain: s ? s.remainingVolume.toFixed(2) : '',
|
||
coastAttach: s ? s.beachedVolume.toFixed(2) : '',
|
||
area: s ? s.pollutionArea.toFixed(2) : '',
|
||
});
|
||
return [toRow('3시간', steps[3]), toRow('6시간', steps[6])];
|
||
})(),
|
||
hasSimulation: simulationSummary !== null,
|
||
sensitiveResources: sensitiveResourceCategories.length > 0
|
||
? sensitiveResourceCategories.map(r => ({
|
||
category: r.category,
|
||
count: r.count,
|
||
totalArea: r.totalArea,
|
||
}))
|
||
: undefined,
|
||
acdntSn: selectedAnalysis?.acdntSn ?? undefined,
|
||
mapData: incidentCoord ? {
|
||
center: [incidentCoord.lat, incidentCoord.lon],
|
||
zoom: 10,
|
||
trajectory: oilTrajectory,
|
||
currentStep,
|
||
centerPoints,
|
||
simulationStartTime: accidentTime,
|
||
} : null,
|
||
};
|
||
|
||
setOilReportPayload(payload);
|
||
setReportGenCategory(0);
|
||
navigateToTab('reports', 'generate');
|
||
};
|
||
|
||
return (
|
||
<div className="relative flex flex-1 overflow-hidden">
|
||
{/* Left Sidebar */}
|
||
{activeSubTab === 'analysis' && (
|
||
<LeftPanel
|
||
selectedAnalysis={selectedAnalysis}
|
||
enabledLayers={enabledLayers}
|
||
onToggleLayer={handleToggleLayer}
|
||
accidentTime={accidentTime}
|
||
onAccidentTimeChange={setAccidentTime}
|
||
incidentCoord={incidentCoord}
|
||
onCoordChange={setIncidentCoord}
|
||
isSelectingLocation={isSelectingLocation}
|
||
onMapSelectClick={() => setIsSelectingLocation(prev => !prev)}
|
||
onRunSimulation={handleRunSimulation}
|
||
isRunningSimulation={isRunningSimulation}
|
||
selectedModels={selectedModels}
|
||
onModelsChange={setSelectedModels}
|
||
visibleModels={visibleModels}
|
||
onVisibleModelsChange={setVisibleModels}
|
||
hasResults={oilTrajectory.length > 0}
|
||
predictionTime={predictionTime}
|
||
onPredictionTimeChange={setPredictionTime}
|
||
spillType={spillType}
|
||
onSpillTypeChange={setSpillType}
|
||
oilType={oilType}
|
||
onOilTypeChange={setOilType}
|
||
spillAmount={spillAmount}
|
||
onSpillAmountChange={setSpillAmount}
|
||
incidentName={incidentName}
|
||
onIncidentNameChange={setIncidentName}
|
||
spillUnit={spillUnit}
|
||
onSpillUnitChange={setSpillUnit}
|
||
boomLines={boomLines}
|
||
onBoomLinesChange={setBoomLines}
|
||
oilTrajectory={oilTrajectory}
|
||
algorithmSettings={algorithmSettings}
|
||
onAlgorithmSettingsChange={setAlgorithmSettings}
|
||
isDrawingBoom={isDrawingBoom}
|
||
onDrawingBoomChange={setIsDrawingBoom}
|
||
drawingPoints={drawingPoints}
|
||
onDrawingPointsChange={setDrawingPoints}
|
||
containmentResult={containmentResult}
|
||
onContainmentResultChange={setContainmentResult}
|
||
layerOpacity={layerOpacity}
|
||
onLayerOpacityChange={setLayerOpacity}
|
||
layerBrightness={layerBrightness}
|
||
onLayerBrightnessChange={setLayerBrightness}
|
||
sensitiveResources={sensitiveResourceCategories}
|
||
onImageAnalysisResult={handleImageAnalysisResult}
|
||
/>
|
||
)}
|
||
|
||
{/* Center - Map/Content Area */}
|
||
<div className="flex-1 relative overflow-hidden">
|
||
{activeSubTab === 'list' ? (
|
||
<AnalysisListTable onTabChange={setActiveSubTab} onSelectAnalysis={handleSelectAnalysis} />
|
||
) : activeSubTab === 'theory' ? (
|
||
<OilSpillTheoryView />
|
||
) : activeSubTab === 'boom-theory' ? (
|
||
<BoomDeploymentTheoryView />
|
||
) : (
|
||
<>
|
||
<MapView
|
||
enabledLayers={enabledLayers}
|
||
incidentCoord={incidentCoord ?? undefined}
|
||
flyToIncident={flyToCoord}
|
||
isSelectingLocation={isSelectingLocation || isDrawingBoom || drawAnalysisMode === 'polygon'}
|
||
onMapClick={handleMapClick}
|
||
oilTrajectory={oilTrajectory.filter(p => visibleModels.has((p.model || 'OpenDrift') as PredictionModel))}
|
||
selectedModels={selectedModels}
|
||
boomLines={boomLines}
|
||
isDrawingBoom={isDrawingBoom}
|
||
drawingPoints={drawingPoints}
|
||
layerOpacity={layerOpacity}
|
||
layerBrightness={layerBrightness}
|
||
sensitiveResources={sensitiveResources}
|
||
sensitiveResourceGeojson={displayControls.showSensitiveResources ? sensitiveResourceGeojson : null}
|
||
lightMode
|
||
centerPoints={centerPoints.filter(p => visibleModels.has((p.model || 'OpenDrift') as PredictionModel))}
|
||
windData={windData}
|
||
hydrData={hydrData}
|
||
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,
|
||
ships: replayShips,
|
||
collisionEvent: collisionEvent ?? null,
|
||
replayFrame,
|
||
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) */}
|
||
{!isReplayActive && (() => {
|
||
const progressPct = maxTime > 0 ? (currentStep / maxTime) * 100 : 0;
|
||
// 동적 라벨: 스텝 수에 따라 균등 분배
|
||
const visibleLabels: number[] = (() => {
|
||
if (timeSteps.length === 0) return [0];
|
||
if (timeSteps.length <= 8) return timeSteps;
|
||
const interval = Math.ceil(timeSteps.length / 7);
|
||
return timeSteps.filter((_, i) => i % interval === 0 || i === timeSteps.length - 1);
|
||
})();
|
||
return (
|
||
<div className="absolute bottom-0 left-0 right-0 h-[72px] flex items-center px-5 gap-4" style={{
|
||
background: 'rgba(15,21,36,0.95)', backdropFilter: 'blur(16px)',
|
||
borderTop: '1px solid var(--bd)',
|
||
zIndex: 1100
|
||
}}>
|
||
{/* 컨트롤 버튼 */}
|
||
<div className="flex gap-1 shrink-0">
|
||
{[
|
||
{ icon: '⏮', action: () => { setCurrentStep(timeSteps[0] ?? 0); setIsPlaying(false); } },
|
||
{ icon: '◀', action: () => { const idx = timeSteps.indexOf(currentStep); if (idx > 0) setCurrentStep(timeSteps[idx - 1]); } },
|
||
].map((btn, i) => (
|
||
<button key={i} onClick={btn.action} style={{
|
||
width: '34px', height: '34px', borderRadius: 'var(--rS, 4px)',
|
||
border: '1px solid var(--bd)', background: 'var(--bg3)', color: 'var(--t2)',
|
||
display: 'flex', alignItems: 'center', justifyContent: 'center',
|
||
cursor: 'pointer', fontSize: '14px', transition: '0.2s'
|
||
}}>{btn.icon}</button>
|
||
))}
|
||
<button onClick={() => {
|
||
if (!isPlaying && currentStep >= maxTime) setCurrentStep(timeSteps[0] ?? 0);
|
||
setIsPlaying(p => !p);
|
||
}} style={{
|
||
width: '34px', height: '34px', borderRadius: 'var(--rS, 4px)',
|
||
border: isPlaying ? '1px solid var(--cyan)' : '1px solid var(--bd)',
|
||
background: isPlaying ? 'var(--cyan)' : 'var(--bg3)',
|
||
color: isPlaying ? 'var(--bg0)' : 'var(--t2)',
|
||
display: 'flex', alignItems: 'center', justifyContent: 'center',
|
||
cursor: 'pointer', fontSize: '14px', transition: '0.2s'
|
||
}}>{isPlaying ? '⏸' : '▶'}</button>
|
||
{[
|
||
{ icon: '▶▶', action: () => { const idx = timeSteps.indexOf(currentStep); if (idx < timeSteps.length - 1) setCurrentStep(timeSteps[idx + 1]); } },
|
||
{ icon: '⏭', action: () => { setCurrentStep(maxTime); setIsPlaying(false); } },
|
||
].map((btn, i) => (
|
||
<button key={i} onClick={btn.action} style={{
|
||
width: '34px', height: '34px', borderRadius: 'var(--rS, 4px)',
|
||
border: '1px solid var(--bd)', background: 'var(--bg3)', color: 'var(--t2)',
|
||
display: 'flex', alignItems: 'center', justifyContent: 'center',
|
||
cursor: 'pointer', fontSize: '12px', transition: '0.2s'
|
||
}}>{btn.icon}</button>
|
||
))}
|
||
<div className="w-2" />
|
||
<button onClick={() => setPlaySpeed(playSpeed >= 4 ? 1 : playSpeed * 2)} style={{
|
||
width: '34px', height: '34px', borderRadius: 'var(--rS, 4px)',
|
||
border: '1px solid var(--bd)', background: 'var(--bg3)', color: 'var(--t2)',
|
||
display: 'flex', alignItems: 'center', justifyContent: 'center',
|
||
cursor: 'pointer', fontSize: '11px', fontWeight: 600, fontFamily: 'var(--fM)', transition: '0.2s'
|
||
}}>{playSpeed}×</button>
|
||
</div>
|
||
|
||
{/* 타임라인 슬라이더 */}
|
||
<div className="flex-1 flex flex-col gap-1.5">
|
||
{/* 동적 시간 라벨 */}
|
||
<div className="relative h-4">
|
||
{visibleLabels.map(t => {
|
||
const pos = maxTime > 0 ? (t / maxTime) * 100 : 0;
|
||
const isActive = t === currentStep;
|
||
return (
|
||
<span key={t} style={{
|
||
position: 'absolute', left: `${pos}%`, transform: 'translateX(-50%)',
|
||
fontSize: '10px', fontFamily: 'var(--fM)',
|
||
color: isActive ? 'var(--cyan)' : 'var(--t3)',
|
||
fontWeight: isActive ? 600 : 400, cursor: 'pointer', whiteSpace: 'nowrap'
|
||
}} onClick={() => setCurrentStep(t)}>{t}h</span>
|
||
)
|
||
})}
|
||
</div>
|
||
|
||
{/* 슬라이더 트랙 */}
|
||
<div className="relative h-6 flex items-center">
|
||
<div
|
||
style={{ width: '100%', height: '4px', background: 'var(--bd)', borderRadius: '2px', position: 'relative', cursor: 'pointer' }}
|
||
onClick={(e) => {
|
||
if (timeSteps.length === 0) return;
|
||
const rect = e.currentTarget.getBoundingClientRect();
|
||
const pct = (e.clientX - rect.left) / rect.width;
|
||
const targetTime = pct * maxTime;
|
||
const closest = timeSteps.reduce((a, b) =>
|
||
Math.abs(b - targetTime) < Math.abs(a - targetTime) ? b : a
|
||
);
|
||
setCurrentStep(closest);
|
||
}}
|
||
>
|
||
{/* 진행 바 */}
|
||
<div style={{
|
||
position: 'absolute', top: 0, left: 0,
|
||
width: `${progressPct}%`, height: '100%',
|
||
background: 'linear-gradient(90deg, var(--cyan), var(--blue))',
|
||
borderRadius: '2px', transition: 'width 0.15s'
|
||
}} />
|
||
{/* 스텝 마커 (각 타임스텝 위치에 틱 표시) */}
|
||
{timeSteps.map(t => {
|
||
const pos = maxTime > 0 ? (t / maxTime) * 100 : 0;
|
||
return (
|
||
<div key={`tick-${t}`} style={{
|
||
position: 'absolute', width: '2px', height: '10px',
|
||
background: t <= currentStep ? 'var(--cyan)' : 'var(--t3)',
|
||
top: '-3px', left: `${pos}%`, opacity: 0.6
|
||
}} />
|
||
);
|
||
})}
|
||
{/* 방어선 설치 이벤트 마커 */}
|
||
{boomLines.length > 0 && [
|
||
{ pos: 4.2, label: '1차 방어선 설치 (+3h)' },
|
||
{ pos: 8.3, label: '2차 방어선 설치 (+6h)' },
|
||
{ pos: 12.5, label: '3차 방어선 설치 (+9h)' },
|
||
].slice(0, boomLines.length).map((bm, i) => (
|
||
<div key={`bm-${i}`} title={bm.label} style={{
|
||
position: 'absolute', top: '-18px', left: `${bm.pos}%`,
|
||
transform: 'translateX(-50%)', fontSize: '12px', cursor: 'pointer',
|
||
filter: 'drop-shadow(0 0 4px rgba(245,158,11,0.5))'
|
||
}}>🛡</div>
|
||
))}
|
||
</div>
|
||
{/* 드래그 핸들 */}
|
||
<div style={{
|
||
position: 'absolute', left: `${progressPct}%`, top: '50%',
|
||
transform: 'translate(-50%, -50%)',
|
||
width: '16px', height: '16px',
|
||
background: 'var(--cyan)', border: '3px solid var(--bg0)',
|
||
borderRadius: '50%', cursor: 'grab',
|
||
boxShadow: '0 0 10px rgba(6,182,212,0.4)', zIndex: 2,
|
||
transition: 'left 0.15s'
|
||
}} />
|
||
</div>
|
||
</div>
|
||
|
||
{/* 시간 정보 */}
|
||
<div style={{ display: 'flex', flexDirection: 'column', alignItems: 'flex-end', gap: '4px', flexShrink: 0, minWidth: '200px' }}>
|
||
<div style={{ fontSize: '14px', fontWeight: 600, color: 'var(--cyan)', fontFamily: 'var(--fM)' }}>
|
||
+{currentStep}h — {(() => {
|
||
const base = accidentTime ? new Date(accidentTime) : new Date();
|
||
const d = new Date(base.getTime() + currentStep * 3600 * 1000);
|
||
return `${String(d.getMonth() + 1).padStart(2, '0')}/${String(d.getDate()).padStart(2, '0')} ${String(d.getHours()).padStart(2, '0')}:${String(d.getMinutes()).padStart(2, '0')} KST`;
|
||
})()}
|
||
</div>
|
||
<div style={{ display: 'flex', gap: '14px' }}>
|
||
{(() => {
|
||
const stepSummary = stepSummariesByModel[windHydrModel]?.[currentStep] ?? null;
|
||
const weatheredVal = stepSummary ? `${stepSummary.weatheredVolume.toFixed(2)} m³` : '—';
|
||
const areaVal = stepSummary ? `${stepSummary.pollutionArea.toFixed(1)} km²` : '—';
|
||
return [
|
||
{ label: '풍화량', value: weatheredVal },
|
||
{ label: '면적', value: areaVal },
|
||
{ label: '차단율', value: boomLines.length > 0 ? `${Math.min(95, 70 + Math.round(progressPct * 0.2))}%` : '—', color: 'var(--boom)' },
|
||
].map((s, i) => (
|
||
<div key={i} style={{ display: 'flex', alignItems: 'center', gap: '5px', fontSize: '11px' }}>
|
||
<span className="text-text-3">{s.label}</span>
|
||
<span style={{ color: s.color, fontWeight: 600, fontFamily: 'var(--fM)' }}>{s.value}</span>
|
||
</div>
|
||
));
|
||
})()}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
})()}
|
||
|
||
{/* 역추적 리플레이 바 */}
|
||
{isReplayActive && (
|
||
<BacktrackReplayBar
|
||
isPlaying={isReplayPlaying}
|
||
replayFrame={replayFrame}
|
||
totalFrames={TOTAL_REPLAY_FRAMES}
|
||
replaySpeed={replaySpeed}
|
||
onTogglePlay={() => setIsReplayPlaying(!isReplayPlaying)}
|
||
onSeek={setReplayFrame}
|
||
onSpeedChange={setReplaySpeed}
|
||
onClose={handleCloseReplay}
|
||
replayShips={replayShips}
|
||
collisionEvent={collisionEvent}
|
||
replayTimeRange={replayTimeRange ?? undefined}
|
||
/>
|
||
)}
|
||
</>
|
||
)}
|
||
</div>
|
||
|
||
{/* Right Panel */}
|
||
{activeSubTab === 'analysis' && (
|
||
<RightPanel
|
||
onOpenBacktrack={handleOpenBacktrack}
|
||
onOpenRecalc={() => {
|
||
if (!selectedAnalysis) {
|
||
alert('선택된 사고가 없습니다.\n분석 목록에서 사고를 선택해주세요.');
|
||
return;
|
||
}
|
||
setRecalcModalOpen(true);
|
||
}}
|
||
onOpenReport={handleOpenReport}
|
||
detail={analysisDetail}
|
||
summary={stepSummariesByModel[windHydrModel]?.[currentStep] ?? summaryByModel[windHydrModel] ?? simulationSummary}
|
||
boomBlockedVolume={boomBlockedVolume}
|
||
displayControls={displayControls}
|
||
onDisplayControlsChange={setDisplayControls}
|
||
windHydrModel={windHydrModel}
|
||
windHydrModelOptions={windHydrModelOptions}
|
||
onWindHydrModelChange={setWindHydrModel}
|
||
analysisTab={analysisTab}
|
||
onSwitchAnalysisTab={setAnalysisTab}
|
||
drawAnalysisMode={drawAnalysisMode}
|
||
analysisPolygonPoints={analysisPolygonPoints}
|
||
circleRadiusNm={circleRadiusNm}
|
||
onCircleRadiusChange={setCircleRadiusNm}
|
||
analysisResult={analysisResult}
|
||
incidentCoord={incidentCoord}
|
||
centerPoints={centerPoints}
|
||
predictionTime={predictionTime}
|
||
onStartPolygonDraw={handleStartPolygonDraw}
|
||
onRunPolygonAnalysis={handleRunPolygonAnalysis}
|
||
onRunCircleAnalysis={handleRunCircleAnalysis}
|
||
onCancelAnalysis={handleCancelAnalysis}
|
||
onClearAnalysis={handleClearAnalysis}
|
||
/>
|
||
)}
|
||
|
||
{/* 확산 예측 실행 중 로딩 오버레이 */}
|
||
{isRunningSimulation && (
|
||
<SimulationLoadingOverlay
|
||
status="RUNNING"
|
||
progress={simulationProgress}
|
||
/>
|
||
)}
|
||
|
||
{/* 확산 예측 에러 팝업 */}
|
||
{simulationError && (
|
||
<SimulationErrorModal
|
||
message={simulationError}
|
||
onClose={() => setSimulationError(null)}
|
||
/>
|
||
)}
|
||
|
||
{/* 재계산 모달 */}
|
||
<RecalcModal
|
||
isOpen={recalcModalOpen}
|
||
onClose={() => setRecalcModalOpen(false)}
|
||
incidentName={selectedAnalysis?.acdntNm || incidentName}
|
||
oilType={oilType}
|
||
spillAmount={spillAmount}
|
||
spillType={spillType}
|
||
predictionTime={predictionTime}
|
||
incidentCoord={incidentCoord ?? { lat: 0, lon: 0 }}
|
||
selectedModels={selectedModels}
|
||
onSubmit={(params) => {
|
||
setOilType(params.oilType)
|
||
setSpillAmount(params.spillAmount)
|
||
setSpillType(params.spillType)
|
||
setPredictionTime(params.predictionTime)
|
||
setIncidentCoord(params.incidentCoord)
|
||
setSelectedModels(params.selectedModels)
|
||
handleRunSimulation({
|
||
models: params.selectedModels,
|
||
oilType: params.oilType,
|
||
spillAmount: params.spillAmount,
|
||
spillType: params.spillType,
|
||
predictionTime: params.predictionTime,
|
||
incidentCoord: params.incidentCoord,
|
||
})
|
||
}}
|
||
/>
|
||
|
||
{/* 역추적 모달 */}
|
||
<BacktrackModal
|
||
isOpen={backtrackModalOpen}
|
||
onClose={() => setBacktrackModalOpen(false)}
|
||
phase={backtrackPhase}
|
||
conditions={backtrackConditions}
|
||
vessels={backtrackVessels}
|
||
onRunAnalysis={handleRunBacktrackAnalysis}
|
||
onStartReplay={handleStartReplay}
|
||
/>
|
||
</div>
|
||
)
|
||
}
|