Merge branch 'fe/refactor/model-learn' into 'fe/develop'
Refator: 모델 학습 부분, 개선 필요 See merge request s11-s-project/S11P21S002!238
This commit is contained in:
commit
ab38cc0746
@ -1,6 +1,7 @@
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import { useEffect, useState } from 'react';
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import { useEffect } from 'react';
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import ModelLineChart from './ModelLineChart';
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import ModelLineChart from './ModelLineChart';
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import usePollingModelReportsQuery from '@/queries/reports/usePollingModelReportsQuery';
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import usePollingTrainingModelReport from '@/queries/reports/usePollingModelReportsQuery';
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import { useQueryClient } from '@tanstack/react-query';
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import { ModelResponse } from '@/types';
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import { ModelResponse } from '@/types';
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interface TrainingGraphProps {
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interface TrainingGraphProps {
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@ -10,20 +11,22 @@ interface TrainingGraphProps {
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}
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}
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export default function TrainingGraph({ projectId, selectedModel, className }: TrainingGraphProps) {
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export default function TrainingGraph({ projectId, selectedModel, className }: TrainingGraphProps) {
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const [isPolling, setIsPolling] = useState(false);
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const queryClient = useQueryClient();
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const { data: trainingDataList } = usePollingModelReportsQuery(
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const { data: trainingDataList } = usePollingTrainingModelReport(
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projectId as number,
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projectId as number,
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selectedModel?.id as number,
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selectedModel?.id as number,
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isPolling
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selectedModel?.isTrain || false
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);
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);
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useEffect(() => {
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useEffect(() => {
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if (selectedModel) {
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if (!selectedModel || !selectedModel.isTrain) {
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setIsPolling(true);
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queryClient.resetQueries({
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} else {
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queryKey: [{ type: 'modelReports', projectId, modelId: selectedModel?.id }],
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setIsPolling(false);
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exact: true,
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});
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}
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}
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}, [selectedModel]);
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}, [selectedModel, queryClient, projectId]);
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return (
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return (
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<ModelLineChart
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<ModelLineChart
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@ -1,11 +1,10 @@
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import { useState, useEffect, useRef } from 'react';
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import { useState } from 'react';
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import { Button } from '@/components/ui/button';
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import { Button } from '@/components/ui/button';
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import SelectWithLabel from './SelectWithLabel';
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import SelectWithLabel from './SelectWithLabel';
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import InputWithLabel from './InputWithLabel';
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import InputWithLabel from './InputWithLabel';
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import useProjectModelsQuery from '@/queries/models/useProjectModelsQuery';
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import useProjectModelsQuery from '@/queries/models/useProjectModelsQuery';
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import { ModelTrainRequest, ModelResponse } from '@/types';
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import { ModelTrainRequest, ModelResponse } from '@/types';
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import { cn } from '@/lib/utils';
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import { cn } from '@/lib/utils';
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import { useQueryClient } from '@tanstack/react-query';
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interface TrainingSettingsProps {
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interface TrainingSettingsProps {
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projectId: number | null;
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projectId: number | null;
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@ -13,6 +12,7 @@ interface TrainingSettingsProps {
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setSelectedModel: (model: ModelResponse | null) => void;
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setSelectedModel: (model: ModelResponse | null) => void;
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handleTrainingStart: (trainData: ModelTrainRequest) => void;
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handleTrainingStart: (trainData: ModelTrainRequest) => void;
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handleTrainingStop: () => void;
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handleTrainingStop: () => void;
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isPolling: boolean;
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className?: string;
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className?: string;
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}
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}
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@ -22,6 +22,7 @@ export default function TrainingSettings({
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setSelectedModel,
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setSelectedModel,
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handleTrainingStart,
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handleTrainingStart,
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handleTrainingStop,
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handleTrainingStop,
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isPolling,
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className,
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className,
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}: TrainingSettingsProps) {
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}: TrainingSettingsProps) {
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const { data: models } = useProjectModelsQuery(projectId ?? 0);
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const { data: models } = useProjectModelsQuery(projectId ?? 0);
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@ -31,14 +32,9 @@ export default function TrainingSettings({
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const [optimizer, setOptimizer] = useState<'SGD' | 'AUTO' | 'ADAM' | 'ADAMW' | 'NADAM' | 'RADAM' | 'RMSPROP'>('AUTO');
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const [optimizer, setOptimizer] = useState<'SGD' | 'AUTO' | 'ADAM' | 'ADAMW' | 'NADAM' | 'RADAM' | 'RMSPROP'>('AUTO');
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const [lr0, setLr0] = useState<number>(0.01);
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const [lr0, setLr0] = useState<number>(0.01);
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const [lrf, setLrf] = useState<number>(0.001);
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const [lrf, setLrf] = useState<number>(0.001);
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const [isSubmitting, setIsSubmitting] = useState(false);
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const queryClient = useQueryClient();
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const intervalRef = useRef<NodeJS.Timeout | null>(null);
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const handleSubmit = () => {
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const handleSubmit = () => {
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if (selectedModel?.isTrain) {
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if (selectedModel) {
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handleTrainingStop();
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} else if (selectedModel) {
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const trainData: ModelTrainRequest = {
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const trainData: ModelTrainRequest = {
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modelId: selectedModel.id,
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modelId: selectedModel.id,
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ratio,
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ratio,
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@ -48,34 +44,10 @@ export default function TrainingSettings({
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lr0,
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lr0,
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lrf,
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lrf,
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};
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};
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setIsSubmitting(true);
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handleTrainingStart(trainData);
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handleTrainingStart(trainData);
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}
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}
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};
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};
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useEffect(() => {
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if (isSubmitting) {
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intervalRef.current = setInterval(() => {
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queryClient.invalidateQueries({ queryKey: ['projectModels', projectId] });
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}, 1000);
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} else if (intervalRef.current) {
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clearInterval(intervalRef.current);
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intervalRef.current = null;
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}
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return () => {
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if (intervalRef.current) {
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clearInterval(intervalRef.current);
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}
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};
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}, [isSubmitting, queryClient, projectId]);
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useEffect(() => {
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if (selectedModel?.isTrain) {
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setIsSubmitting(false);
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}
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}, [selectedModel]);
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return (
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return (
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<fieldset className={cn('grid gap-6 rounded-lg border p-4', className)}>
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<fieldset className={cn('grid gap-6 rounded-lg border p-4', className)}>
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<legend className="-ml-1 px-1 text-sm font-medium">모델 설정</legend>
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<legend className="-ml-1 px-1 text-sm font-medium">모델 설정</legend>
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@ -158,12 +130,21 @@ export default function TrainingSettings({
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variant="outlinePrimary"
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variant="outlinePrimary"
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size="lg"
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size="lg"
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onClick={handleSubmit}
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onClick={handleSubmit}
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disabled={!selectedModel || isSubmitting}
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disabled={!selectedModel || isPolling}
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>
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>
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{isSubmitting ? '기다리는 중...' : '학습 시작'}
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{isPolling ? '대기 중...' : '학습 시작'}
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</Button>
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</Button>
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</>
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</>
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)}
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)}
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{selectedModel?.isTrain && (
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<Button
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variant="secondary"
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size="lg"
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onClick={handleTrainingStop}
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>
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학습 중단
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</Button>
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)}
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</fieldset>
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</fieldset>
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);
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);
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}
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}
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@ -1,24 +1,57 @@
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import useTrainModelQuery from '@/queries/models/useTrainModelQuery';
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import { useState, useEffect } from 'react';
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import TrainingSettings from './TrainingSettings';
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import TrainingSettings from './TrainingSettings';
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import TrainingGraph from './TrainingGraph';
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import TrainingGraph from './TrainingGraph';
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import useTrainModelQuery from '@/queries/models/useTrainModelQuery';
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import { ModelTrainRequest, ModelResponse } from '@/types';
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import { ModelTrainRequest, ModelResponse } from '@/types';
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import { useState } from 'react';
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import { useQueryClient } from '@tanstack/react-query';
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interface TrainingTabProps {
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interface TrainingTabProps {
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projectId: number | null;
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projectId: number | null;
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}
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}
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export default function TrainingTab({ projectId }: TrainingTabProps) {
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export default function TrainingTab({ projectId }: TrainingTabProps) {
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const numericProjectId = projectId ? parseInt(projectId.toString(), 10) : null;
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const numericProjectId = projectId !== null ? Number(projectId) : null;
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const [selectedModel, setSelectedModel] = useState<ModelResponse | null>(null);
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const [selectedModel, setSelectedModel] = useState<ModelResponse | null>(null);
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const [isPolling, setIsPolling] = useState(false);
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const queryClient = useQueryClient();
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const { mutate: startTraining } = useTrainModelQuery(numericProjectId as number);
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const { mutate: startTraining } = useTrainModelQuery(numericProjectId as number, {
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onSuccess: () => {
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setIsPolling(true);
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},
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onError: () => {
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alert('학습 요청 실패');
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setIsPolling(false);
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},
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});
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const handleTrainingStart = (trainData: ModelTrainRequest) => {
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const handleTrainingStart = (trainData: ModelTrainRequest) => {
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if (numericProjectId !== null) {
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startTraining(trainData);
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startTraining(trainData);
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}
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};
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};
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const handleTrainingStop = () => {};
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useEffect(() => {
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if (!selectedModel || !numericProjectId || !isPolling) return;
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const intervalId = setInterval(() => {
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queryClient.invalidateQueries({ queryKey: ['projectModels', numericProjectId] });
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}, 2000);
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const timeoutId = setTimeout(() => {
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clearInterval(intervalId);
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setIsPolling(false);
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}, 30000);
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return () => {
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clearInterval(intervalId);
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clearTimeout(timeoutId);
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};
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}, [selectedModel, numericProjectId, queryClient, isPolling]);
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const handleTrainingStop = () => {
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setIsPolling(false);
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};
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return (
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return (
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<div className="grid grid-rows-[auto_1fr] gap-8 md:grid-cols-2">
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<div className="grid grid-rows-[auto_1fr] gap-8 md:grid-cols-2">
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@ -28,9 +61,9 @@ export default function TrainingTab({ projectId }: TrainingTabProps) {
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setSelectedModel={setSelectedModel}
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setSelectedModel={setSelectedModel}
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handleTrainingStart={handleTrainingStart}
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handleTrainingStart={handleTrainingStart}
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handleTrainingStop={handleTrainingStop}
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handleTrainingStop={handleTrainingStop}
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isPolling={isPolling}
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className="h-full"
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className="h-full"
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/>
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/>
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<TrainingGraph
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<TrainingGraph
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projectId={numericProjectId}
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projectId={numericProjectId}
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selectedModel={selectedModel}
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selectedModel={selectedModel}
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@ -1,9 +1,24 @@
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import { useMutation } from '@tanstack/react-query';
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import { useMutation } from '@tanstack/react-query';
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import { trainModel } from '@/api/modelApi';
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import { trainModel } from '@/api/modelApi';
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import { ModelTrainRequest } from '@/types';
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import { ModelTrainRequest } from '@/types';
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import { QueryClient } from '@tanstack/react-query';
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export default function useTrainModelQuery(projectId: number) {
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const queryClient = new QueryClient();
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interface UseTrainModelOptions {
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onSuccess?: () => void;
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onError?: (error: unknown) => void;
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}
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export default function useTrainModelQuery(projectId: number, options?: UseTrainModelOptions) {
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return useMutation({
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return useMutation({
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mutationFn: (trainData: ModelTrainRequest) => trainModel(projectId, trainData),
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mutationFn: (trainData: ModelTrainRequest) => trainModel(projectId, trainData),
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onSuccess: () => {
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queryClient.invalidateQueries({ queryKey: ['projectModels', projectId] });
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options?.onSuccess?.();
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},
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onError: (error) => {
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options?.onError?.(error);
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},
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});
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});
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}
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}
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@ -6,7 +6,7 @@ export default function usePollingTrainingModelReport(projectId: number, modelId
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return useQuery<ReportResponse[]>({
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return useQuery<ReportResponse[]>({
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queryKey: ['modelReports', projectId, modelId],
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queryKey: ['modelReports', projectId, modelId],
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queryFn: () => getTrainingModelReport(projectId, modelId),
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queryFn: () => getTrainingModelReport(projectId, modelId),
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refetchInterval: 5000,
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refetchInterval: enabled ? 5000 : false,
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enabled,
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enabled,
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});
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});
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}
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}
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