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import path from 'path' import type { NextRequest } from 'next/server' import { db } from '@/db' import { visionTrainingSyncHistory } from '@/db/schema' import { initializeTombstone, pruneTombstone, readTombstone, } from '@/lib/vision/trainingDataDeletion' import { withAuth } from '@/lib/auth/withAuth' // Force dynamic rendering - this route reads from disk and runs rsync export const dynamic = 'force-dynamic' // Configuration const REMOTE_HOST = 'nas.home.network' const REMOTE_USER = 'antialias' // Paths for each model type type ModelType = 'column-classifier' | 'boundary-detector' const MODEL_PATHS: Record<ModelType, { remote: string; local: string }> = { 'column-classifier': { remote: '/volume1/homes/antialias/projects/abaci.one/data/vision-training/collected/', local: path.join(process.cwd(), 'data/vision-training/collected/'), }, 'boundary-detector': { remote: '/volume1/homes/antialias/projects/abaci.one/data/vision-training/boundary-frames/', local: path.join(process.cwd(), 'data/vision-training/boundary-frames/'), }, } /** * Get the model type from request query params (defaults to column-classifier for backwards compatibility) */ function getModelType(request: NextRequest): ModelType { const modelType = request.nextUrl.searchParams.get('modelType') if (modelType === 'boundary-detector') return 'boundary-detector' return 'column-classifier' } /** * POST /api/vision-training/sync * Sync training data from production to local using rsync * Returns SSE stream with progress updates * * Query params: * - modelType: 'column-classifier' | 'boundary-detector' (default: column-classifier) */ export const POST = withAuth( async (request) => { const modelType = getModelType(request) const paths = MODEL_PATHS[modelType] const encoder = new TextEncoder() const stream = new ReadableStream({ async start(controller) { // Track if controller is closed to avoid "Controller is already closed" errors // from async callbacks (rsync stdout) that fire after stream completion let isClosed = false const send = (event: string, data: Record<string, unknown>) => { if (isClosed) return try { controller.enqueue(encoder.encode(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`)) } catch { // Controller may have been closed between check and enqueue isClosed = true } } const closeStream = () => { if (!isClosed) { isClosed = true controller.close() } } // Track timing for history const startedAt = new Date() let localFilesBefore: number | null = null let remoteFilesCount: number | null = null let tombstoneEntriesBefore: number | null = null let filesExcludedByTombstone: number | null = null try { // Ensure local directory exists await fs.promises.mkdir(paths.local, { recursive: true }) // Initialize tombstone file if it doesn't exist // This ensures deletions are tracked even if user deletes before first sync await initializeTombstone(modelType) // Count local files before sync for history const localStatsBefore = await countLocalData(modelType) localFilesBefore = localStatsBefore.totalImages send('status', { message: 'Connecting to production server...', phase: 'connecting', }) // Get list of remote files via SSH (also verifies connectivity) // This is needed for tombstone pruning after sync const { exec } = await import('child_process') const { promisify } = await import('util') const execAsync = promisify(exec) let remoteFiles: Set<string> try { // Boundary detector can have PNG or JPG images; column-classifier is PNG only const findPattern = modelType === 'boundary-detector' ? `-name '*.png' -o -name '*.jpg'` : `-name '*.png'` const { stdout: remoteFilesOutput } = await execAsync( `ssh -o ConnectTimeout=5 -o BatchMode=yes ${REMOTE_USER}@${REMOTE_HOST} "find '${paths.remote}' \\( ${findPattern} \\) -printf '%P\\n' 2>/dev/null"`, { timeout: 30000 } ) remoteFiles = new Set(remoteFilesOutput.trim().split('\n').filter(Boolean)) remoteFilesCount = remoteFiles.size } catch (sshError) { throw new Error( `Cannot connect to production server: ${sshError instanceof Error ? sshError.message : 'SSH failed'}` ) } // Read deleted files to exclude from sync const deletedFiles = await readTombstone(modelType) tombstoneEntriesBefore = deletedFiles.size filesExcludedByTombstone = deletedFiles.size const excludeArgs: string[] = [] // Add each deleted file as an exclude pattern for (const file of deletedFiles) { excludeArgs.push('--exclude', file) } if (deletedFiles.size > 0) { send('status', { message: `Excluding ${deletedFiles.size} previously deleted files...`, phase: 'connecting', }) } // Run rsync with progress const rsync = spawn('rsync', [ '-avz', '--progress', '--stats', ...excludeArgs, `${REMOTE_USER}@${REMOTE_HOST}:${paths.remote}`, paths.local, ]) let currentFile = '' let filesTransferred = 0 let totalBytes = 0 rsync.stdout.on('data', (data: Buffer) => { const output = data.toString() const lines = output.split('\n') for (const line of lines) { // File being transferred (lines that end with file size info) // Matches both PNG and JPG files in subdirectory format const fileMatch = line.match(/^(\S+\/\S+\.(png|jpg))/) if (fileMatch) { currentFile = fileMatch[1] } // Progress line: " 1,234,567 100% 12.34MB/s 0:00:01" const progressMatch = line.match(/^\s*([\d,]+)\s+(\d+)%/) if (progressMatch) { const bytes = parseInt(progressMatch[1].replace(/,/g, ''), 10) const percent = parseInt(progressMatch[2], 10) totalBytes += bytes if (percent === 100) { filesTransferred++ } send('progress', { currentFile, filesTransferred, bytesTransferred: totalBytes, message: `Syncing: ${currentFile || 'files'}...`, }) } // Stats at the end const statsMatch = line.match(/Number of regular files transferred:\s*(\d+)/) if (statsMatch) { filesTransferred = parseInt(statsMatch[1], 10) } } }) rsync.stderr.on('data', (data: Buffer) => { const output = data.toString() // Ignore SSH banner/warnings, only report actual errors if (output.includes('error') || output.includes('failed')) { send('error', { message: output.trim() }) } }) await new Promise<void>((resolve, reject) => { rsync.on('close', (code) => { if (code === 0) { resolve() } else { reject(new Error(`rsync exited with code ${code}`)) } }) rsync.on('error', reject) }) // Count final stats const stats = await countLocalData(modelType) // Prune tombstone entries for files that no longer exist on production // This keeps the tombstone file bounded and removes stale entries // Safe to call here because we verified SSH connectivity above const pruneResult = await pruneTombstone(modelType, remoteFiles) if (pruneResult.entriesPruned > 0) { send('status', { message: `Cleaned up ${pruneResult.entriesPruned} stale tombstone entries`, phase: 'complete', }) } // Record successful sync to history const completedAt = new Date() const durationMs = completedAt.getTime() - startedAt.getTime() try { await db.insert(visionTrainingSyncHistory).values({ modelType, status: 'success', startedAt, completedAt, durationMs, filesTransferred, remoteFilesCount, localFilesBefore, localFilesAfter: stats.totalImages, tombstoneEntriesBefore, tombstoneEntriesAfter: pruneResult.entriesAfter, tombstonePruned: pruneResult.entriesPruned, filesExcludedByTombstone, remoteHost: REMOTE_HOST, }) } catch (dbError) { // Don't fail the sync if we can't record history console.error('[vision-training/sync] Failed to record sync history:', dbError) } send('complete', { filesTransferred, ...stats, tombstonePruned: pruneResult.entriesPruned, }) } catch (error) { const errorMessage = error instanceof Error ? error.message : 'Sync failed' // Record failed sync to history const completedAt = new Date() const durationMs = completedAt.getTime() - startedAt.getTime() try { await db.insert(visionTrainingSyncHistory).values({ modelType, status: 'failed', startedAt, completedAt, durationMs, filesTransferred: 0, remoteFilesCount, localFilesBefore, localFilesAfter: localFilesBefore, // Unchanged on failure tombstoneEntriesBefore, filesExcludedByTombstone, error: errorMessage, remoteHost: REMOTE_HOST, }) } catch (dbError) { console.error('[vision-training/sync] Failed to record sync history:', dbError) } send('error', { message: errorMessage }) } finally { closeStream() } }, }) return new Response(stream, { headers: { 'Content-Type': 'text/event-stream', 'Cache-Control': 'no-cache', Connection: 'keep-alive', }, }) }, { role: 'admin' } ) /** * GET /api/vision-training/sync * Check if sync is available (SSH connectivity) and what files would be synced * * Query params: * - modelType: 'column-classifier' | 'boundary-detector' (default: column-classifier) */ export const GET = withAuth( async (request) => { const modelType = getModelType(request) const paths = MODEL_PATHS[modelType] try { // Quick check if we can reach the remote host const { exec } = await import('child_process') const { promisify } = await import('util') const execAsync = promisify(exec) // Test SSH connection with timeout await execAsync( `ssh -o ConnectTimeout=3 -o BatchMode=yes ${REMOTE_USER}@${REMOTE_HOST} "echo ok"`, { timeout: 5000, } ) // Get list of remote files (just filenames, not full paths) // Boundary detector can have PNG or JPG images; column-classifier is PNG only const findPattern = modelType === 'boundary-detector' ? `-name '*.png' -o -name '*.jpg'` : `-name '*.png'` const { stdout: remoteFilesOutput } = await execAsync( `ssh ${REMOTE_USER}@${REMOTE_HOST} "find '${paths.remote}' \\( ${findPattern} \\) -printf '%P\\n' 2>/dev/null"`, { timeout: 15000 } ) const remoteFiles = new Set(remoteFilesOutput.trim().split('\n').filter(Boolean)) const remoteCount = remoteFiles.size // Get local files and deleted files const localStats = await countLocalData(modelType) const localFiles = await listLocalFiles(modelType) const deletedFiles = await readTombstone(modelType) // Find files that exist on remote but not locally (excluding intentionally deleted) const newOnRemote: string[] = [] const excludedByDeletion: string[] = [] for (const file of remoteFiles) { if (!localFiles.has(file)) { if (deletedFiles.has(file)) { excludedByDeletion.push(file) } else { newOnRemote.push(file) } } } // Find files that exist locally but not on remote const newOnLocal: string[] = [] for (const file of localFiles) { if (!remoteFiles.has(file)) { newOnLocal.push(file) } } // Use appropriate terminology based on model type const itemName = modelType === 'boundary-detector' ? 'frames' : 'images' return Response.json({ available: true, modelType, remote: { host: REMOTE_HOST, totalImages: remoteCount, // Keep as totalImages for backwards compatibility totalFrames: modelType === 'boundary-detector' ? remoteCount : undefined, }, local: localStats, // Smart sync detection: there are files on remote that we don't have locally needsSync: newOnRemote.length > 0, newOnRemote: newOnRemote.length, newOnLocal: newOnLocal.length, // Files that would sync but are in our deleted list excludedByDeletion: excludedByDeletion.length, itemName, // 'frames' or 'images' }) } catch (error) { console.error('[vision-training/sync] Error:', error) return Response.json({ available: false, modelType, error: 'Cannot connect to production server', local: await countLocalData(modelType), }) } }, { role: 'admin' } ) /** * Count local data for a model type * - Column classifier: counts images per digit subdirectory * - Boundary detector: counts PNG files (frames) in device subdirectories */ async function countLocalData(modelType: ModelType): Promise<{ totalImages: number totalFrames?: number digitCounts?: Record<number, number> deviceCount?: number }> { const localPath = MODEL_PATHS[modelType].local if (modelType === 'column-classifier') { // Count images per digit (0-9) const digitCounts: Record<number, number> = {} let totalImages = 0 for (let digit = 0; digit <= 9; digit++) { const digitPath = path.join(localPath, String(digit)) try { const files = await fs.promises.readdir(digitPath) const pngCount = files.filter((f) => f.endsWith('.png')).length digitCounts[digit] = pngCount totalImages += pngCount } catch { digitCounts[digit] = 0 } } return { totalImages, digitCounts } } else { // Boundary detector: count PNG and JPG files in device subdirectories let totalFrames = 0 let deviceCount = 0 try { const entries = await fs.promises.readdir(localPath, { withFileTypes: true, }) for (const entry of entries) { if (entry.isDirectory()) { deviceCount++ const devicePath = path.join(localPath, entry.name) const files = await fs.promises.readdir(devicePath) // Count both PNG and JPG images (boundary detector saves as either depending on source) const imageCount = files.filter((f) => f.endsWith('.png') || f.endsWith('.jpg')).length totalFrames += imageCount } } } catch { // Directory doesn't exist yet } return { totalImages: totalFrames, totalFrames, deviceCount } } } /** * List local image files for a model type (relative paths) * - Column classifier: digit/filename.png format (PNG only) * - Boundary detector: deviceId/filename.{png,jpg} format (PNG or JPG) */ async function listLocalFiles(modelType: ModelType): Promise<Set<string>> { const files = new Set<string>() const localPath = MODEL_PATHS[modelType].local if (modelType === 'column-classifier') { // Column classifier: iterate through digit subdirectories (0-9) for (let digit = 0; digit <= 9; digit++) { const digitPath = path.join(localPath, String(digit)) try { const dirFiles = await fs.promises.readdir(digitPath) for (const file of dirFiles) { if (file.endsWith('.png')) { // Use relative path format: digit/filename.png files.add(`${digit}/${file}`) } } } catch { // Directory doesn't exist } } } else { // Boundary detector: iterate through device subdirectories try { const entries = await fs.promises.readdir(localPath, { withFileTypes: true, }) for (const entry of entries) { if (entry.isDirectory()) { const devicePath = path.join(localPath, entry.name) const dirFiles = await fs.promises.readdir(devicePath) for (const file of dirFiles) { // Boundary detector supports both PNG and JPG images if (file.endsWith('.png') || file.endsWith('.jpg')) { // Use relative path format: deviceId/filename.{png,jpg} files.add(`${entry.name}/${file}`) } } } } } catch { // Directory doesn't exist } } return files } |