Refactor: 모델 api 연결
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@ -1,55 +1,116 @@
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import { Label } from '@/components/ui/label';
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
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import ModelBarChart from '@/components/ModelBarChart';
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import { useState } from 'react';
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import useProjectModelsQuery from '@/queries/models/useProjectModelsQuery';
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import useModelReportsQuery from '@/queries/models/useModelReportsQuery';
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import useModelResultsQuery from '@/queries/models/useModelResultsQuery';
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import ModelBarChart from './ModelBarChart';
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import ModelLineChart from './ModelLineChart';
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interface EvaluationTabProps {
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selectedModel: string | null;
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setSelectedModel: (model: string | null) => void;
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projectId: number | null;
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}
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export default function EvaluationTab({ selectedModel, setSelectedModel }: EvaluationTabProps) {
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export default function EvaluationTab({ projectId }: EvaluationTabProps) {
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const [selectedModel, setSelectedModel] = useState<number | null>(null);
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const { data: models } = useProjectModelsQuery(projectId ?? 0);
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return (
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<div>
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<div className="mb-4">
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<Label htmlFor="select-model">모델 선택</Label>
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<Select onValueChange={setSelectedModel}>
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<SelectTrigger id="select-model">
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<SelectValue placeholder="모델을 선택하세요" />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value="genesis">Genesis</SelectItem>
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<SelectItem value="explorer">Explorer</SelectItem>
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<SelectItem value="quantum">Quantum</SelectItem>
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</SelectContent>
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</Select>
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</div>
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<ModelSelection
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models={models}
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setSelectedModel={setSelectedModel}
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/>
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{selectedModel && (
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<div className="grid gap-8 md:grid-cols-2">
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<div className="flex flex-col gap-6">
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<ModelBarChart
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data={[
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{ name: 'precision', value: 0.734, fill: 'var(--color-precision)' },
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{ name: 'recall', value: 0.75, fill: 'var(--color-recall)' },
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{ name: 'mAP50', value: 0.995, fill: 'var(--color-map50)' },
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{ name: 'mAP50_95', value: 0.97, fill: 'var(--color-map50-95)' },
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{ name: 'fitness', value: 0.973, fill: 'var(--color-fitness)' },
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]}
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/>
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</div>
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<div className="flex flex-col justify-center">
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<LabelingPreview />
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</div>
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</div>
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<ModelEvaluation
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projectId={projectId as number}
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selectedModel={selectedModel}
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/>
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)}
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</div>
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);
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}
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function LabelingPreview() {
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interface ModelSelectionProps {
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models: Array<{ id: number; name: string }> | undefined;
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setSelectedModel: (modelId: number) => void;
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}
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function ModelSelection({ models, setSelectedModel }: ModelSelectionProps) {
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return (
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<div className="flex items-center justify-center rounded-lg border bg-white p-4">
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<p>레이블링 프리뷰</p>
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<div className="mb-4">
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<Label htmlFor="select-model">모델 선택</Label>
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<Select onValueChange={(value) => setSelectedModel(parseInt(value))}>
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<SelectTrigger id="select-model">
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<SelectValue placeholder="모델을 선택하세요" />
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</SelectTrigger>
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<SelectContent>
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{models?.map((model) => (
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<SelectItem
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key={model.id}
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value={model.id.toString()}
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>
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{model.name}
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</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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);
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}
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interface ModelEvaluationProps {
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projectId: number;
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selectedModel: number;
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}
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function ModelEvaluation({ projectId, selectedModel }: ModelEvaluationProps) {
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const { data: reportData } = useModelReportsQuery(projectId, selectedModel);
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const { data: resultData } = useModelResultsQuery(selectedModel);
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if (!reportData || !resultData) {
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return null;
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}
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return (
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<div className="grid gap-8 md:grid-cols-2">
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<div className="flex flex-col gap-6">
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<ModelBarChart
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data={[
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{ name: 'precision', value: resultData[0]?.precision, fill: 'var(--color-precision)' },
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{ name: 'recall', value: resultData[0]?.recall, fill: 'var(--color-recall)' },
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{ name: 'mAP50', value: resultData[0]?.map50, fill: 'var(--color-map50)' },
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{ name: 'mAP50_95', value: resultData[0]?.map5095, fill: 'var(--color-map50-95)' },
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{ name: 'fitness', value: resultData[0]?.fitness, fill: 'var(--color-fitness)' },
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]}
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/>
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</div>
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<div className="flex flex-col gap-6">
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<ModelLineChart
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data={reportData.map((report) => ({
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epoch: report.epoch.toString(),
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loss1: report.boxLoss,
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loss2: report.clsLoss,
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loss3: report.dflLoss,
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fitness: report.fitness,
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}))}
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/>
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</div>
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{/* <div className="flex flex-col justify-center">
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<LabelingPreview />
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</div> */}
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</div>
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);
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}
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// function LabelingPreview() {
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// return (
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// <div className="flex items-center justify-center rounded-lg border bg-white p-4">
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// <p>레이블링 프리뷰</p>
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// </div>
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// );
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// }
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24
frontend/src/components/ModelManage/InputWithLabel.tsx
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24
frontend/src/components/ModelManage/InputWithLabel.tsx
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@ -0,0 +1,24 @@
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import { Label } from '@/components/ui/label';
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import { Input } from '../ui/input';
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interface InputWithLabelProps {
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label: string;
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id: string;
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placeholder: string;
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value: number;
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onChange: (e: React.ChangeEvent<HTMLInputElement>) => void;
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}
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export default function InputWithLabel({ label, id, placeholder, value, onChange }: InputWithLabelProps) {
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return (
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<div className="grid gap-3">
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<Label htmlFor={id}>{label}</Label>
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<Input
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id={id}
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type="number"
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placeholder={placeholder}
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value={value}
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onChange={onChange}
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/>
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</div>
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);
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}
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42
frontend/src/components/ModelManage/SelectWithLabel.tsx
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42
frontend/src/components/ModelManage/SelectWithLabel.tsx
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
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import { Label } from '@/components/ui/label';
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interface SelectWithLabelOption {
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label: string;
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value: string;
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}
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interface SelectWithLabelProps {
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label: string;
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id: string;
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options: SelectWithLabelOption[];
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placeholder: string;
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value: string;
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onChange: (value: string) => void;
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}
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export default function SelectWithLabel({ label, id, options, placeholder, value, onChange }: SelectWithLabelProps) {
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return (
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<div className="grid gap-3">
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<Label htmlFor={id}>{label}</Label>
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<Select
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value={value}
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onValueChange={onChange}
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>
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<SelectTrigger id={id}>
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<SelectValue placeholder={placeholder} />
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</SelectTrigger>
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<SelectContent>
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{options.map((option) => (
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<SelectItem
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key={option.value}
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value={option.value}
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>
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{option.label}
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</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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);
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}
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@ -1,189 +0,0 @@
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
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import { Input } from '@/components/ui/input';
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import { Label } from '@/components/ui/label';
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import useProjectModelsQuery from '@/queries/models/useProjectModelsQuery';
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import { useState } from 'react';
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interface SettingsFormProps {
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projectId: string | null; // projectId를 프랍으로 받음
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onSubmit?: (data: SettingsFormData) => void;
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}
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export interface SettingsFormData {
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projectId: number | null;
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selectedModel: string | null;
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ratio: number;
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epochs: number;
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batchSize: number;
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optimizer: string;
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lr0: number;
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lrf: number;
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}
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export default function SettingsForm({ projectId, onSubmit }: SettingsFormProps) {
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const numericProjectId = projectId ? parseInt(projectId, 10) : null;
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const { data: models } = useProjectModelsQuery(numericProjectId ?? 0);
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const [selectedModel, setSelectedModel] = useState<string | null>(null);
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const [ratio, setRatio] = useState<number>(0.8);
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const [epochs, setEpochs] = useState<number>(50);
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const [batchSize, setBatchSize] = useState<number>(32);
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const [optimizer, setOptimizer] = useState<string>('SGD');
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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 handleSubmit = () => {
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if (onSubmit) {
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onSubmit({
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projectId: numericProjectId,
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selectedModel,
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ratio,
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epochs,
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batchSize,
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optimizer,
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lr0,
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lrf,
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});
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}
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};
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return (
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<form
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className="grid w-full gap-6"
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onSubmit={handleSubmit}
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>
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<fieldset className="grid gap-6 rounded-lg border p-4">
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<legend className="-ml-1 px-1 text-sm font-medium">모델 설정</legend>
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{/* 모델 선택 */}
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<div className="grid gap-3">
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<Label htmlFor="model">모델 선택</Label>
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<Select onValueChange={setSelectedModel}>
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<SelectTrigger id="model">
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<SelectValue placeholder="모델을 선택하세요" />
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</SelectTrigger>
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<SelectContent>
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{models?.map((model) => (
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<SelectItem
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key={model.id}
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value={model.name}
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>
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{model.name}
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</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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{/* 훈련/검증 비율 및 학습 파라미터 */}
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<div className="grid grid-cols-2 gap-4">
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<InputWithLabel
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label="훈련/검증 비율"
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placeholder="예: 0.8 (80% 훈련, 20% 검증)"
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id="ratio"
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value={ratio}
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onChange={(e) => setRatio(parseFloat(e.target.value))}
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/>
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<InputWithLabel
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label="에포크 수"
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placeholder="예: 50 (총 반복 횟수)"
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id="epochs"
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value={epochs}
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onChange={(e) => setEpochs(parseInt(e.target.value, 10))}
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/>
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<InputWithLabel
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label="Batch 크기"
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placeholder="예: 32 (한번에 처리할 샘플 수)"
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id="batch"
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value={batchSize}
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onChange={(e) => setBatchSize(parseInt(e.target.value, 10))}
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/>
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<SelectWithLabel
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label="옵티마이저"
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id="optimizer"
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options={['SGD', 'Adam', 'AdamW', 'NAdam', 'RAdam', 'RMSProp']}
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value={optimizer}
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onChange={setOptimizer}
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placeholder="옵티마이저 선택"
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/>
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<InputWithLabel
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label="학습률(LR0)"
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placeholder="예: 0.01 (초기 학습률)"
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id="lr0"
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value={lr0}
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onChange={(e) => setLr0(parseFloat(e.target.value))}
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/>
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<InputWithLabel
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label="최종 학습률(LRF)"
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placeholder="예: 0.001 (최종 학습률)"
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id="lrf"
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value={lrf}
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onChange={(e) => setLrf(parseFloat(e.target.value))}
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/>
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</div>
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<button
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type="submit"
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className="btn-primary"
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>
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설정 저장
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</button>
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</fieldset>
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</form>
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);
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}
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interface InputWithLabelProps {
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label: string;
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id: string;
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placeholder: string;
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value: number;
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onChange: (e: React.ChangeEvent<HTMLInputElement>) => void;
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}
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function InputWithLabel({ label, id, placeholder, value, onChange }: InputWithLabelProps) {
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return (
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<div className="grid gap-3">
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<Label htmlFor={id}>{label}</Label>
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<Input
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id={id}
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type="number"
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placeholder={placeholder}
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value={value}
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onChange={onChange}
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/>
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</div>
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);
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}
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interface SelectWithLabelProps {
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label: string;
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id: string;
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options: string[];
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placeholder: string;
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value: string;
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onChange: (value: string) => void;
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}
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function SelectWithLabel({ label, id, options, placeholder, onChange }: SelectWithLabelProps) {
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return (
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<div className="grid gap-3">
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<Label htmlFor={id}>{label}</Label>
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<Select onValueChange={onChange}>
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<SelectTrigger id={id}>
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<SelectValue placeholder={placeholder} />
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</SelectTrigger>
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<SelectContent>
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{options.map((option) => (
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<SelectItem
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key={option}
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value={option}
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>
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{option}
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</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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);
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}
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25
frontend/src/components/ModelManage/TrainingGraph.tsx
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25
frontend/src/components/ModelManage/TrainingGraph.tsx
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import ModelLineChart from './ModelLineChart';
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import usePollingModelReportsQuery from '@/queries/models/usePollingModelReportsQuery';
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interface TrainingGraphProps {
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projectId: number | null;
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selectedModel: number | null;
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}
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export default function TrainingGraph({ projectId, selectedModel }: TrainingGraphProps) {
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const { data: trainingDataList } = usePollingModelReportsQuery(projectId as number, selectedModel ?? 0);
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return (
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<ModelLineChart
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data={
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trainingDataList?.map((data) => ({
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epoch: data.epoch.toString(),
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loss1: data.boxLoss,
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loss2: data.clsLoss,
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loss3: data.dflLoss,
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fitness: data.fitness,
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})) || []
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}
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/>
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);
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}
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134
frontend/src/components/ModelManage/TrainingSettings.tsx
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134
frontend/src/components/ModelManage/TrainingSettings.tsx
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import SelectWithLabel from './SelectWithLabel';
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import InputWithLabel from './InputWithLabel';
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import { Button } from '@/components/ui/button';
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import useProjectModelsQuery from '@/queries/models/useProjectModelsQuery';
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import { ModelTrainRequest } from '@/types';
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import { useState } from 'react';
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interface TrainingSettingsProps {
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projectId: number | null;
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selectedModel: number | null;
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setSelectedModel: (model: number | null) => void;
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handleTrainingStart: (trainData: ModelTrainRequest) => void;
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isTraining: boolean;
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}
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export default function TrainingSettings({
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projectId,
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selectedModel,
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setSelectedModel,
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handleTrainingStart,
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isTraining,
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}: TrainingSettingsProps) {
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const { data: models } = useProjectModelsQuery(projectId ?? 0);
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const [ratio, setRatio] = useState<number>(0.8);
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const [epochs, setEpochs] = useState<number>(50);
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const [batchSize, setBatchSize] = useState<number>(32);
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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 [lrf, setLrf] = useState<number>(0.001);
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const handleSubmit = () => {
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if (selectedModel !== null) {
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const trainData: ModelTrainRequest = {
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modelId: selectedModel,
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ratio,
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epochs,
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batch: batchSize,
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optimizer,
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lr0,
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lrf,
|
||||
};
|
||||
handleTrainingStart(trainData);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<fieldset
|
||||
className="grid gap-6 rounded-lg border p-4"
|
||||
disabled={isTraining}
|
||||
>
|
||||
<legend className="-ml-1 px-1 text-sm font-medium">모델 설정</legend>
|
||||
|
||||
<div className="grid gap-3">
|
||||
<SelectWithLabel
|
||||
label="모델 선택"
|
||||
id="model"
|
||||
options={
|
||||
models?.map((model) => ({
|
||||
label: model.name,
|
||||
value: model.id.toString(),
|
||||
})) || []
|
||||
}
|
||||
placeholder="모델을 선택하세요"
|
||||
value={selectedModel ? selectedModel.toString() : ''}
|
||||
onChange={(value) => setSelectedModel(parseInt(value, 10))}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-2 gap-4">
|
||||
<InputWithLabel
|
||||
label="훈련/검증 비율"
|
||||
placeholder="예: 0.8 (80% 훈련, 20% 검증)"
|
||||
id="ratio"
|
||||
value={ratio}
|
||||
onChange={(e) => setRatio(parseFloat(e.target.value))}
|
||||
/>
|
||||
<InputWithLabel
|
||||
label="에포크 수"
|
||||
placeholder="예: 50 (총 반복 횟수)"
|
||||
id="epochs"
|
||||
value={epochs}
|
||||
onChange={(e) => setEpochs(parseInt(e.target.value, 10))}
|
||||
/>
|
||||
<InputWithLabel
|
||||
label="Batch 크기"
|
||||
placeholder="예: 32 (한번에 처리할 샘플 수)"
|
||||
id="batch"
|
||||
value={batchSize}
|
||||
onChange={(e) => setBatchSize(parseInt(e.target.value, 10))}
|
||||
/>
|
||||
<SelectWithLabel
|
||||
label="옵티마이저"
|
||||
id="optimizer"
|
||||
options={[
|
||||
{ label: 'AUTO', value: 'AUTO' },
|
||||
{ label: 'SGD', value: 'SGD' },
|
||||
{ label: 'ADAM', value: 'ADAM' },
|
||||
{ label: 'ADAMW', value: 'ADAMW' },
|
||||
{ label: 'NADAM', value: 'NADAM' },
|
||||
{ label: 'RADAM', value: 'RADAM' },
|
||||
{ label: 'RMSPROP', value: 'RMSPROP' },
|
||||
]}
|
||||
placeholder="옵티마이저 선택"
|
||||
value={optimizer}
|
||||
onChange={(value) => setOptimizer(value as 'AUTO' | 'SGD' | 'ADAM' | 'ADAMW' | 'NADAM' | 'RADAM' | 'RMSPROP')}
|
||||
/>
|
||||
<InputWithLabel
|
||||
label="학습률(LR0)"
|
||||
placeholder="예: 0.01 (초기 학습률)"
|
||||
id="lr0"
|
||||
value={lr0}
|
||||
onChange={(e) => setLr0(parseFloat(e.target.value))}
|
||||
/>
|
||||
<InputWithLabel
|
||||
label="최종 학습률(LRF)"
|
||||
placeholder="예: 0.001 (최종 학습률)"
|
||||
id="lrf"
|
||||
value={lrf}
|
||||
onChange={(e) => setLrf(parseFloat(e.target.value))}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<Button
|
||||
variant="outlinePrimary"
|
||||
size="lg"
|
||||
onClick={handleSubmit}
|
||||
disabled={!selectedModel || isTraining}
|
||||
>
|
||||
학습 시작
|
||||
</Button>
|
||||
</fieldset>
|
||||
);
|
||||
}
|
@ -1,45 +1,60 @@
|
||||
import { Button } from '@/components/ui/button';
|
||||
import ModelLineChart from '@/components/ModelLineChart';
|
||||
import SettingsForm from './SettingsForm';
|
||||
import useTrainModelQuery from '@/queries/models/useTrainModelQuery';
|
||||
import useModelStore from '@/stores/useModelStore';
|
||||
import TrainingSettings from './TrainingSettings';
|
||||
import TrainingGraph from './TrainingGraph';
|
||||
import { ModelTrainRequest } from '@/types';
|
||||
|
||||
interface TrainingTabProps {
|
||||
training: boolean;
|
||||
handleTrainingToggle: () => void;
|
||||
trainingDataList: {
|
||||
epoch: number;
|
||||
box_loss: number;
|
||||
cls_loss: number;
|
||||
dfl_loss: number;
|
||||
fitness: number;
|
||||
}[];
|
||||
projectId: string | null; // projectId를 프랍으로 받음
|
||||
projectId: number | null;
|
||||
}
|
||||
|
||||
export default function TrainingTab({ training, handleTrainingToggle, trainingDataList, projectId }: TrainingTabProps) {
|
||||
export default function TrainingTab({ projectId }: TrainingTabProps) {
|
||||
const numericProjectId = projectId ? parseInt(projectId.toString(), 10) : null;
|
||||
const { isTrainingByProject, setIsTraining, selectedModelByProject, setSelectedModel, trainingDataByProject } =
|
||||
useModelStore((state) => ({
|
||||
isTrainingByProject: state.isTrainingByProject,
|
||||
setIsTraining: state.setIsTraining,
|
||||
selectedModelByProject: state.selectedModelByProject,
|
||||
setSelectedModel: state.setSelectedModel,
|
||||
trainingDataByProject: state.trainingDataByProject,
|
||||
}));
|
||||
|
||||
const isTraining = isTrainingByProject[numericProjectId?.toString() || ''] || false;
|
||||
const selectedModel = selectedModelByProject[numericProjectId?.toString() || ''];
|
||||
|
||||
const { mutate: startTraining } = useTrainModelQuery(numericProjectId as number);
|
||||
|
||||
const handleTrainingStart = (trainData: ModelTrainRequest) => {
|
||||
if (!isTraining && selectedModel !== null) {
|
||||
setIsTraining(numericProjectId?.toString() || '', true);
|
||||
startTraining(trainData);
|
||||
}
|
||||
};
|
||||
|
||||
const trainingData = trainingDataByProject[numericProjectId?.toString() || ''];
|
||||
|
||||
return (
|
||||
<div className="grid gap-8 md:grid-cols-2">
|
||||
<div className="flex flex-col gap-6">
|
||||
<SettingsForm projectId={projectId} />
|
||||
<Button
|
||||
variant={training ? 'destructive' : 'outlinePrimary'}
|
||||
size="lg"
|
||||
onClick={handleTrainingToggle}
|
||||
>
|
||||
{training ? '학습 중단' : '학습 시작'}
|
||||
</Button>
|
||||
</div>
|
||||
<TrainingSettings
|
||||
projectId={numericProjectId}
|
||||
selectedModel={selectedModel}
|
||||
setSelectedModel={(modelId) => setSelectedModel(numericProjectId?.toString() || '', modelId)}
|
||||
handleTrainingStart={handleTrainingStart}
|
||||
isTraining={isTraining}
|
||||
/>
|
||||
|
||||
<div className="flex flex-col justify-center">
|
||||
<ModelLineChart
|
||||
data={trainingDataList.map((data) => ({
|
||||
epoch: data.epoch.toString(),
|
||||
loss1: data.box_loss,
|
||||
loss2: data.cls_loss,
|
||||
loss3: data.dfl_loss,
|
||||
fitness: data.fitness,
|
||||
}))}
|
||||
/>
|
||||
</div>
|
||||
<TrainingGraph
|
||||
projectId={numericProjectId}
|
||||
selectedModel={selectedModel}
|
||||
/>
|
||||
|
||||
{trainingData && (
|
||||
<div className="mt-4">
|
||||
<p>현재 에포크: {trainingData[trainingData.length - 1]?.epoch}</p>
|
||||
<p>총 에포크: {trainingData[trainingData.length - 1]?.totalEpochs}</p>
|
||||
<p>예상 남은시간: {trainingData[trainingData.length - 1]?.leftSecond}</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
@ -1,28 +1,11 @@
|
||||
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
|
||||
import { useState } from 'react';
|
||||
import { useParams } from 'react-router-dom';
|
||||
|
||||
import useTrainWebSocket from '@/hooks/useTrainPolling';
|
||||
import useTrainStore from '@/stores/useTrainStore';
|
||||
import TrainingTab from './TrainingTab';
|
||||
import EvaluationTab from './EvaluationTab';
|
||||
|
||||
export default function ModelManage() {
|
||||
const { projectId } = useParams<{ projectId?: string }>();
|
||||
const [training, setTraining] = useState(false);
|
||||
const [selectedModel, setSelectedModel] = useState<string | null>(null);
|
||||
|
||||
const numericProjectId = projectId ?? null;
|
||||
|
||||
useTrainWebSocket(training, numericProjectId);
|
||||
|
||||
const { trainingDataList } = useTrainStore((state) => ({
|
||||
trainingDataList: numericProjectId ? state.trainingDataByProject[numericProjectId] || [] : [],
|
||||
}));
|
||||
|
||||
const handleTrainingToggle = () => {
|
||||
setTraining((prev) => !prev);
|
||||
};
|
||||
const numericProjectId = projectId ? parseInt(projectId, 10) : null;
|
||||
|
||||
return (
|
||||
<div className="grid h-screen w-full">
|
||||
@ -41,22 +24,12 @@ export default function ModelManage() {
|
||||
<TabsTrigger value="results">모델 평가</TabsTrigger>
|
||||
</TabsList>
|
||||
|
||||
{/* 학습 탭 */}
|
||||
<TabsContent value="train">
|
||||
<TrainingTab
|
||||
training={training}
|
||||
handleTrainingToggle={handleTrainingToggle}
|
||||
trainingDataList={trainingDataList}
|
||||
projectId={numericProjectId}
|
||||
/>
|
||||
<TrainingTab projectId={numericProjectId} />
|
||||
</TabsContent>
|
||||
|
||||
{/* 평가 탭 */}
|
||||
<TabsContent value="results">
|
||||
<EvaluationTab
|
||||
selectedModel={selectedModel}
|
||||
setSelectedModel={setSelectedModel}
|
||||
/>
|
||||
<EvaluationTab projectId={numericProjectId} />
|
||||
</TabsContent>
|
||||
</Tabs>
|
||||
</main>
|
||||
|
@ -1,49 +0,0 @@
|
||||
// 임시 가짜 훅
|
||||
import { useEffect, useRef, useCallback } from 'react';
|
||||
import axios from 'axios';
|
||||
import useTrainStore from '@/stores/useTrainStore';
|
||||
|
||||
export default function useTrainPolling(start: boolean, projectId?: string | null) {
|
||||
const { addTrainingData, resetTrainingData } = useTrainStore((state) => ({
|
||||
addTrainingData: state.addTrainingData,
|
||||
resetTrainingData: state.resetTrainingData,
|
||||
}));
|
||||
|
||||
const intervalIdRef = useRef<number | null>(null);
|
||||
// 함수 api 후 교체 예정
|
||||
const fetchTrainingData = useCallback(async () => {
|
||||
if (projectId) {
|
||||
try {
|
||||
const response = await axios.get(`/api/바보=${projectId}`);
|
||||
const data = response.data;
|
||||
|
||||
addTrainingData(projectId, {
|
||||
epoch: data.epoch,
|
||||
total_epochs: data.total_epochs,
|
||||
box_loss: data.box_loss,
|
||||
cls_loss: data.cls_loss,
|
||||
dfl_loss: data.dfl_loss,
|
||||
fitness: data.fitness,
|
||||
epoch_time: data.epoch_time,
|
||||
left_second: data.left_second,
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Fetching error:', error);
|
||||
}
|
||||
}
|
||||
}, [projectId, addTrainingData]);
|
||||
|
||||
useEffect(() => {
|
||||
if (start && projectId) {
|
||||
resetTrainingData(projectId);
|
||||
intervalIdRef.current = window.setInterval(fetchTrainingData, 5000);
|
||||
}
|
||||
|
||||
return () => {
|
||||
if (intervalIdRef.current) {
|
||||
clearInterval(intervalIdRef.current);
|
||||
intervalIdRef.current = null;
|
||||
}
|
||||
};
|
||||
}, [start, projectId, fetchTrainingData, resetTrainingData]);
|
||||
}
|
12
frontend/src/queries/models/usePollingModelReportsQuery.ts
Normal file
12
frontend/src/queries/models/usePollingModelReportsQuery.ts
Normal file
@ -0,0 +1,12 @@
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { getModelReports } from '@/api/modelApi';
|
||||
import { ReportResponse } from '@/types';
|
||||
|
||||
export default function usePollingModelReportsQuery(projectId: number, modelId: number) {
|
||||
return useQuery<ReportResponse[]>({
|
||||
queryKey: ['pollingModelReports', projectId, modelId],
|
||||
queryFn: () => getModelReports(projectId, modelId),
|
||||
refetchInterval: 5000,
|
||||
enabled: !!projectId && !!modelId,
|
||||
});
|
||||
}
|
40
frontend/src/stores/useModelStore.ts
Normal file
40
frontend/src/stores/useModelStore.ts
Normal file
@ -0,0 +1,40 @@
|
||||
import { create } from 'zustand';
|
||||
import { ReportResponse } from '@/types';
|
||||
|
||||
interface ModelStoreState {
|
||||
trainingDataByProject: Record<string, ReportResponse[]>;
|
||||
isTrainingByProject: Record<string, boolean>;
|
||||
selectedModelByProject: Record<string, number | null>;
|
||||
setIsTraining: (projectId: string, status: boolean) => void;
|
||||
saveTrainingData: (projectId: string, data: ReportResponse[]) => void;
|
||||
setSelectedModel: (projectId: string, modelId: number | null) => void;
|
||||
}
|
||||
|
||||
const useModelStore = create<ModelStoreState>((set) => ({
|
||||
trainingDataByProject: {},
|
||||
isTrainingByProject: {},
|
||||
selectedModelByProject: {},
|
||||
setIsTraining: (projectId, status) =>
|
||||
set((state) => ({
|
||||
isTrainingByProject: {
|
||||
...state.isTrainingByProject,
|
||||
[projectId]: status,
|
||||
},
|
||||
})),
|
||||
saveTrainingData: (projectId, data) =>
|
||||
set((state) => ({
|
||||
trainingDataByProject: {
|
||||
...state.trainingDataByProject,
|
||||
[projectId]: data,
|
||||
},
|
||||
})),
|
||||
setSelectedModel: (projectId, modelId) =>
|
||||
set((state) => ({
|
||||
selectedModelByProject: {
|
||||
...state.selectedModelByProject,
|
||||
[projectId]: modelId,
|
||||
},
|
||||
})),
|
||||
}));
|
||||
|
||||
export default useModelStore;
|
@ -1,40 +0,0 @@
|
||||
import { create } from 'zustand';
|
||||
|
||||
interface TrainingData {
|
||||
epoch: number;
|
||||
total_epochs: number;
|
||||
box_loss: number;
|
||||
cls_loss: number;
|
||||
dfl_loss: number;
|
||||
fitness: number;
|
||||
epoch_time: number;
|
||||
left_second: number;
|
||||
}
|
||||
|
||||
interface StoreState {
|
||||
trainingDataByProject: { [projectId: string]: TrainingData[] };
|
||||
addTrainingData: (projectId: string, data: TrainingData) => void;
|
||||
resetTrainingData: (projectId: string) => void;
|
||||
}
|
||||
|
||||
const useTrainStore = create<StoreState>((set) => ({
|
||||
trainingDataByProject: {},
|
||||
|
||||
addTrainingData: (projectId: string, data: TrainingData) =>
|
||||
set((state) => ({
|
||||
trainingDataByProject: {
|
||||
...state.trainingDataByProject,
|
||||
[projectId]: [...(state.trainingDataByProject[projectId] || []), data],
|
||||
},
|
||||
})),
|
||||
|
||||
resetTrainingData: (projectId: string) =>
|
||||
set((state) => ({
|
||||
trainingDataByProject: {
|
||||
...state.trainingDataByProject,
|
||||
[projectId]: [],
|
||||
},
|
||||
})),
|
||||
}));
|
||||
|
||||
export default useTrainStore;
|
Loading…
Reference in New Issue
Block a user