Added a way to secure the UI. Plus various bug fixes and quality of life updates
This commit is contained in:
6
ui/src/app/api/auth/route.ts
Normal file
6
ui/src/app/api/auth/route.ts
Normal file
@@ -0,0 +1,6 @@
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import { NextResponse } from 'next/server';
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export async function GET() {
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// if this gets hit, auth has already been verified
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return NextResponse.json({ isAuthenticated: true });
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}
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@@ -19,4 +19,4 @@ export async function POST(request: Request) {
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} catch (error) {
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return NextResponse.json({ error: 'Failed to create dataset' }, { status: 500 });
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}
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}
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}
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@@ -8,31 +8,25 @@ export async function POST(request: Request) {
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const body = await request.json();
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const { datasetName } = body;
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const datasetFolder = path.join(datasetsPath, datasetName);
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try {
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// Check if folder exists
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if (!fs.existsSync(datasetFolder)) {
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return NextResponse.json(
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{ error: `Folder '${datasetName}' not found` },
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{ status: 404 }
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);
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return NextResponse.json({ error: `Folder '${datasetName}' not found` }, { status: 404 });
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}
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// Find all images recursively
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const imageFiles = findImagesRecursively(datasetFolder);
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// Format response
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const result = imageFiles.map(imgPath => ({
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img_path: imgPath
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img_path: imgPath,
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}));
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return NextResponse.json({ images: result });
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} catch (error) {
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console.error('Error finding images:', error);
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return NextResponse.json(
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{ error: 'Failed to process request' },
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{ status: 500 }
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);
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return NextResponse.json({ error: 'Failed to process request' }, { status: 500 });
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}
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}
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@@ -44,13 +38,13 @@ export async function POST(request: Request) {
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function findImagesRecursively(dir: string): string[] {
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const imageExtensions = ['.png', '.jpg', '.jpeg', '.webp'];
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let results: string[] = [];
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const items = fs.readdirSync(dir);
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for (const item of items) {
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const itemPath = path.join(dir, item);
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const stat = fs.statSync(itemPath);
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if (stat.isDirectory()) {
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// If it's a directory, recursively search it
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results = results.concat(findImagesRecursively(itemPath));
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@@ -62,6 +56,6 @@ function findImagesRecursively(dir: string): string[] {
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}
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}
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}
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return results;
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}
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}
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@@ -16,7 +16,8 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
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const allowedDirs = [datasetRoot, trainingRoot];
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// Security check: Ensure path is in allowed directory
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const isAllowed = allowedDirs.some(allowedDir => decodedFilePath.startsWith(allowedDir)) && !decodedFilePath.includes('..');
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const isAllowed =
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allowedDirs.some(allowedDir => decodedFilePath.startsWith(allowedDir)) && !decodedFilePath.includes('..');
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if (!isAllowed) {
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console.warn(`Access denied: ${decodedFilePath} not in ${allowedDirs.join(', ')}`);
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@@ -62,7 +63,7 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
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'Accept-Ranges': 'bytes',
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'Cache-Control': 'public, max-age=86400',
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'Content-Disposition': `attachment; filename="${encodeURIComponent(filename)}"`,
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'X-Content-Type-Options': 'nosniff'
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'X-Content-Type-Options': 'nosniff',
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};
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if (range) {
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@@ -70,12 +71,12 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
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const parts = range.replace(/bytes=/, '').split('-');
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const start = parseInt(parts[0], 10);
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const end = parts[1] ? parseInt(parts[1], 10) : Math.min(start + 10 * 1024 * 1024, stat.size - 1); // 10MB chunks
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const chunkSize = (end - start) + 1;
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const chunkSize = end - start + 1;
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const fileStream = fs.createReadStream(decodedFilePath, {
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start,
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const fileStream = fs.createReadStream(decodedFilePath, {
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start,
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end,
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highWaterMark: 64 * 1024 // 64KB buffer
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highWaterMark: 64 * 1024, // 64KB buffer
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});
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return new NextResponse(fileStream as any, {
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@@ -83,19 +84,19 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
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headers: {
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...commonHeaders,
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'Content-Range': `bytes ${start}-${end}/${stat.size}`,
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'Content-Length': String(chunkSize)
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'Content-Length': String(chunkSize),
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},
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});
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} else {
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// For full file download, read directly without streaming wrapper
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const fileStream = fs.createReadStream(decodedFilePath, {
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highWaterMark: 64 * 1024 // 64KB buffer
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highWaterMark: 64 * 1024, // 64KB buffer
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});
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return new NextResponse(fileStream as any, {
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headers: {
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...commonHeaders,
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'Content-Length': String(stat.size)
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'Content-Length': String(stat.size),
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},
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});
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}
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@@ -103,4 +104,4 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
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console.error('Error serving file:', error);
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return new NextResponse('Internal Server Error', { status: 500 });
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}
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}
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}
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@@ -10,7 +10,7 @@ export async function GET() {
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// Get platform
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const platform = os.platform();
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const isWindows = platform === 'win32';
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// Check if nvidia-smi is available
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const hasNvidiaSmi = await checkNvidiaSmi(isWindows);
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@@ -61,8 +61,9 @@ async function checkNvidiaSmi(isWindows: boolean): Promise<boolean> {
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async function getGpuStats(isWindows: boolean) {
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// Command is the same for both platforms, but the path might be different
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const command = 'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory,fan.speed --format=csv,noheader,nounits';
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const command =
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'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory,fan.speed --format=csv,noheader,nounits';
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// Execute command
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const { stdout } = await execAsync(command);
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@@ -117,4 +118,4 @@ async function getGpuStats(isWindows: boolean) {
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});
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return gpus;
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}
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}
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@@ -17,7 +17,6 @@ export async function POST(request: Request) {
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return NextResponse.json({ error: 'Image does not exist' }, { status: 404 });
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}
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// check for caption
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const captionPath = imgPath.replace(/\.[^/.]+$/, '') + '.txt';
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// save caption to file
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@@ -103,7 +103,7 @@ export async function GET(request: NextRequest, { params }: { params: { jobID: s
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cwd: TOOLKIT_ROOT,
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windowsHide: false,
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});
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subprocess.unref();
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} else {
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// For non-Windows platforms, use your original approach
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@@ -116,7 +116,7 @@ export async function GET(request: NextRequest, { params }: { params: { jobID: s
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},
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cwd: TOOLKIT_ROOT,
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});
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subprocess.unref();
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}
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// const subprocess = spawn(pythonPath, [runFilePath, configPath], {
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@@ -6,7 +6,6 @@ const prisma = new PrismaClient();
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export async function GET(request: Request) {
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const { searchParams } = new URL(request.url);
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const id = searchParams.get('id');
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console.log('ID:', id);
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try {
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if (id) {
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@@ -19,7 +18,6 @@ export async function GET(request: Request) {
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const jobs = await prisma.job.findMany({
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orderBy: { created_at: 'desc' },
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});
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console.log('Jobs:', jobs);
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return NextResponse.json({ jobs: jobs });
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} catch (error) {
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console.error(error);
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@@ -1,7 +1,7 @@
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import { NextResponse } from 'next/server';
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import { PrismaClient } from '@prisma/client';
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import { defaultTrainFolder, defaultDatasetsFolder } from '@/paths';
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import {flushCache} from '@/server/settings';
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import { flushCache } from '@/server/settings';
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const prisma = new PrismaClient();
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@@ -6,6 +6,7 @@ import DatasetImageCard from '@/components/DatasetImageCard';
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import { Button } from '@headlessui/react';
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import AddImagesModal, { openImagesModal } from '@/components/AddImagesModal';
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import { TopBar, MainContent } from '@/components/layout';
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import { apiClient } from '@/utils/api';
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export default function DatasetPage({ params }: { params: { datasetName: string } }) {
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const [imgList, setImgList] = useState<{ img_path: string }[]>([]);
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@@ -15,15 +16,11 @@ export default function DatasetPage({ params }: { params: { datasetName: string
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const refreshImageList = (dbName: string) => {
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setStatus('loading');
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fetch('/api/datasets/listImages', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({ datasetName: dbName }),
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})
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.then(res => res.json())
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.then(data => {
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console.log('Fetching images for dataset:', dbName);
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apiClient
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.post('/api/datasets/listImages', { datasetName: dbName })
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.then((res: any) => {
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const data = res.data;
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console.log('Images:', data.images);
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// sort
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data.images.sort((a: { img_path: string }, b: { img_path: string }) => a.img_path.localeCompare(b.img_path));
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@@ -10,6 +10,7 @@ import { FaRegTrashAlt } from 'react-icons/fa';
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import { openConfirm } from '@/components/ConfirmModal';
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import { TopBar, MainContent } from '@/components/layout';
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import UniversalTable, { TableColumn } from '@/components/UniversalTable';
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import { apiClient } from '@/utils/api';
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export default function Datasets() {
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const { datasets, status, refreshDatasets } = useDatasetList();
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@@ -54,16 +55,10 @@ export default function Datasets() {
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type: 'warning',
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confirmText: 'Delete',
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onConfirm: () => {
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fetch('/api/datasets/delete', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({ name: datasetName }),
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})
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.then(res => res.json())
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.then(data => {
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console.log('Dataset deleted:', data);
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apiClient
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.post('/api/datasets/delete', { name: datasetName })
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.then(() => {
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console.log('Dataset deleted:', datasetName);
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refreshDatasets();
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})
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.catch(error => {
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@@ -76,14 +71,7 @@ export default function Datasets() {
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const handleCreateDataset = async (e: React.FormEvent) => {
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e.preventDefault();
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try {
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const response = await fetch('/api/datasets/create', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({ name: newDatasetName }),
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});
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const data = await response.json();
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const data = await apiClient.post('/api/datasets/create', { name: newDatasetName }).then(res => res.data);
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console.log('New dataset created:', data);
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refreshDatasets();
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setNewDatasetName('');
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@@ -33,11 +33,7 @@ const yamlConfig: YAML.DocumentOptions &
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directives: true,
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};
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export default function AdvancedJob({
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jobConfig,
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setJobConfig,
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settings,
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}: Props) {
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export default function AdvancedJob({ jobConfig, setJobConfig, settings }: Props) {
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const [editorValue, setEditorValue] = useState<string>('');
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const lastJobConfigUpdateStringRef = useRef('');
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const editorRef = useRef<editor.IStandaloneCodeEditor | null>(null);
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@@ -30,7 +30,7 @@ export const defaultJobConfig: JobConfig = {
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linear: 32,
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linear_alpha: 32,
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lokr_full_rank: true,
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lokr_factor: -1
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lokr_factor: -1,
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},
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save: {
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dtype: 'bf16',
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@@ -39,9 +39,7 @@ export const defaultJobConfig: JobConfig = {
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save_format: 'diffusers',
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push_to_hub: false,
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},
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datasets: [
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defaultDatasetConfig
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],
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datasets: [defaultDatasetConfig],
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train: {
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batch_size: 1,
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bypass_guidance_embedding: true,
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@@ -55,7 +53,7 @@ export const defaultJobConfig: JobConfig = {
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timestep_type: 'sigmoid',
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content_or_style: 'balanced',
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optimizer_params: {
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weight_decay: 1e-4
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weight_decay: 1e-4,
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},
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unload_text_encoder: false,
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lr: 0.0001,
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@@ -66,8 +64,7 @@ export const defaultJobConfig: JobConfig = {
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dtype: 'bf16',
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diff_output_preservation: false,
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diff_output_preservation_multiplier: 1.0,
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diff_output_preservation_class: 'person'
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diff_output_preservation_class: 'person',
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},
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model: {
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name_or_path: 'ostris/Flex.1-alpha',
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@@ -12,7 +12,7 @@ export const modelArchs = [
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{ name: 'flux', label: 'Flux.1' },
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{ name: 'wan21', label: 'Wan 2.1' },
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{ name: 'lumina2', label: 'Lumina2' },
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]
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];
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export const isVideoModelFromArch = (arch: string) => {
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const videoArches = ['wan21'];
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@@ -19,6 +19,7 @@ import { Button } from '@headlessui/react';
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import { FaChevronLeft } from 'react-icons/fa';
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import SimpleJob from './SimpleJob';
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import AdvancedJob from './AdvancedJob';
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import { apiClient } from '@/utils/api';
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const isDev = process.env.NODE_ENV === 'development';
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@@ -56,12 +57,13 @@ export default function TrainingForm() {
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useEffect(() => {
|
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if (runId) {
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fetch(`/api/jobs?id=${runId}`)
|
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.then(res => res.json())
|
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apiClient
|
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.get(`/api/jobs?id=${runId}`)
|
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.then(res => res.data)
|
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.then(data => {
|
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console.log('Training:', data);
|
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setGpuIDs(data.gpu_ids);
|
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setJobConfig(JSON.parse(data.job_config));
|
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// setJobConfig(data.name, 'config.name');
|
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})
|
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.catch(error => console.error('Error fetching training:', error));
|
||||
}
|
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@@ -85,33 +87,30 @@ export default function TrainingForm() {
|
||||
if (status === 'saving') return;
|
||||
setStatus('saving');
|
||||
|
||||
try {
|
||||
const response = await fetch('/api/jobs', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({
|
||||
id: runId,
|
||||
name: jobConfig.config.name,
|
||||
gpu_ids: gpuIDs,
|
||||
job_config: jobConfig,
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) throw new Error('Failed to save training');
|
||||
|
||||
setStatus('success');
|
||||
if (!runId) {
|
||||
const data = await response.json();
|
||||
router.push(`/jobs/${data.id}`);
|
||||
}
|
||||
setTimeout(() => setStatus('idle'), 2000);
|
||||
} catch (error) {
|
||||
console.error('Error saving training:', error);
|
||||
setStatus('error');
|
||||
setTimeout(() => setStatus('idle'), 2000);
|
||||
}
|
||||
apiClient
|
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.post('/api/jobs', {
|
||||
id: runId,
|
||||
name: jobConfig.config.name,
|
||||
gpu_ids: gpuIDs,
|
||||
job_config: jobConfig,
|
||||
})
|
||||
.then(res => {
|
||||
setStatus('success');
|
||||
if (runId) {
|
||||
router.push(`/jobs/${runId}`);
|
||||
} else {
|
||||
router.push(`/jobs/${res.data.id}`);
|
||||
}
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Error saving training:', error);
|
||||
setStatus('error');
|
||||
})
|
||||
.finally(() =>
|
||||
setTimeout(() => {
|
||||
setStatus('idle');
|
||||
}, 2000),
|
||||
);
|
||||
};
|
||||
|
||||
const handleSubmit = async (e: React.FormEvent) => {
|
||||
|
||||
@@ -13,10 +13,7 @@ export default function Dashboard() {
|
||||
</div>
|
||||
<div className="flex-1"></div>
|
||||
<div>
|
||||
<Link
|
||||
href="/jobs/new"
|
||||
className="text-gray-200 bg-slate-600 px-3 py-1 rounded-md"
|
||||
>
|
||||
<Link href="/jobs/new" className="text-gray-200 bg-slate-600 px-3 py-1 rounded-md">
|
||||
New Training Job
|
||||
</Link>
|
||||
</div>
|
||||
|
||||
@@ -6,6 +6,7 @@ import { ThemeProvider } from '@/components/ThemeProvider';
|
||||
import ConfirmModal from '@/components/ConfirmModal';
|
||||
import SampleImageModal from '@/components/SampleImageModal';
|
||||
import { Suspense } from 'react';
|
||||
import AuthWrapper from '@/components/AuthWrapper';
|
||||
|
||||
const inter = Inter({ subsets: ['latin'] });
|
||||
|
||||
@@ -15,6 +16,9 @@ export const metadata: Metadata = {
|
||||
};
|
||||
|
||||
export default function RootLayout({ children }: { children: React.ReactNode }) {
|
||||
// Check if the AI_TOOLKIT_AUTH environment variable is set
|
||||
const authRequired = process.env.AI_TOOLKIT_AUTH ? true : false;
|
||||
|
||||
return (
|
||||
<html lang="en" className="dark">
|
||||
<head>
|
||||
@@ -22,13 +26,14 @@ export default function RootLayout({ children }: { children: React.ReactNode })
|
||||
</head>
|
||||
<body className={inter.className}>
|
||||
<ThemeProvider>
|
||||
<div className="flex h-screen bg-gray-950">
|
||||
<Sidebar />
|
||||
|
||||
<main className="flex-1 overflow-auto bg-gray-950 text-gray-100 relative">
|
||||
<Suspense>{children}</Suspense>
|
||||
</main>
|
||||
</div>
|
||||
<AuthWrapper authRequired={authRequired}>
|
||||
<div className="flex h-screen bg-gray-950">
|
||||
<Sidebar />
|
||||
<main className="flex-1 overflow-auto bg-gray-950 text-gray-100 relative">
|
||||
<Suspense>{children}</Suspense>
|
||||
</main>
|
||||
</div>
|
||||
</AuthWrapper>
|
||||
</ThemeProvider>
|
||||
<ConfirmModal />
|
||||
<SampleImageModal />
|
||||
|
||||
@@ -2,4 +2,4 @@ import { redirect } from 'next/navigation';
|
||||
|
||||
export default function Home() {
|
||||
redirect('/dashboard');
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
import { useEffect, useState } from 'react';
|
||||
import useSettings from '@/hooks/useSettings';
|
||||
import { TopBar, MainContent } from '@/components/layout';
|
||||
import { apiClient } from '@/utils/api';
|
||||
|
||||
export default function Settings() {
|
||||
const { settings, setSettings } = useSettings();
|
||||
@@ -12,24 +13,18 @@ export default function Settings() {
|
||||
e.preventDefault();
|
||||
setStatus('saving');
|
||||
|
||||
try {
|
||||
const response = await fetch('/api/settings', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify(settings),
|
||||
apiClient
|
||||
.post('/api/settings', settings)
|
||||
.then(() => {
|
||||
setStatus('success');
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Error saving settings:', error);
|
||||
setStatus('error');
|
||||
})
|
||||
.finally(() => {
|
||||
setTimeout(() => setStatus('idle'), 2000);
|
||||
});
|
||||
|
||||
if (!response.ok) throw new Error('Failed to save settings');
|
||||
|
||||
setStatus('success');
|
||||
setTimeout(() => setStatus('idle'), 2000);
|
||||
} catch (error) {
|
||||
console.error('Error saving settings:', error);
|
||||
setStatus('error');
|
||||
setTimeout(() => setStatus('idle'), 2000);
|
||||
}
|
||||
};
|
||||
|
||||
const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
|
||||
Reference in New Issue
Block a user