Update server.js
Browse files
server.js
CHANGED
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@@ -1,8 +1,8 @@
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import express from 'express';
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import cors from 'cors';
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import { bundle } from '@remotion/bundler';
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import {
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import { readFile, mkdir, rm } from 'fs/promises';
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import { tmpdir } from 'os';
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import { join, dirname } from 'path';
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import { randomUUID } from 'crypto';
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@@ -27,7 +27,7 @@ app.get('/', (req, res) => {
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res.json({
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status: 'ok',
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service: 'FacelessFlowAI Video Renderer',
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note: '
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});
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});
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@@ -74,54 +74,138 @@ async function getCachedBundle() {
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}
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}
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//
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async function
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const encoders = {
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nvenc: output.includes('h264_nvenc'),
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libx264: output.includes('libx264'),
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systemFfmpeg: !output.includes('remotion'), // Check if it's system FFmpeg
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};
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console.log('[FFmpeg] Available encoders:', encoders);
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return encoders;
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} catch (error) {
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console.log('[FFmpeg] Could not check encoders:', error.message);
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return { nvenc: false, libx264: true, systemFfmpeg: false };
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}
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}
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// Force use of system FFmpeg
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async function useSystemFFmpeg() {
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try {
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//
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const
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return {
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path: ffmpegPath,
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hasNvenc: hasNvenc
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};
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} catch (error) {
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console.
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path: 'ffmpeg',
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hasNvenc: false
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};
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}
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}
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// Render endpoint
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app.post('/render', async (req, res) => {
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const { projectId, scenes, settings } = req.body;
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@@ -145,7 +229,8 @@ app.post('/render', async (req, res) => {
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// 1. Respond immediately
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res.json({
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success: true,
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message: 'Rendering started in background'
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});
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// 2. Start Background Process
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@@ -158,19 +243,17 @@ app.post('/render', async (req, res) => {
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const bundleLocation = await getCachedBundle();
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console.log('[Bundle] Bundle ready');
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},
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});
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console.log(`[Composition] Loaded: ${composition.durationInFrames} frames at ${composition.fps}fps`);
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@@ -178,64 +261,16 @@ app.post('/render', async (req, res) => {
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await mkdir(tempDir, { recursive: true });
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const outputPath = join(tempDir, 'output.mp4');
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console.log('[Render] Starting
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await
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composition,
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inputProps: { scenes, settings },
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chromiumOptions: {
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executablePath: '/usr/bin/google-chrome-stable',
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args: ['--no-sandbox', '--disable-dev-shm-usage']
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},
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concurrency: 6,
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disallowParallelEncoding: false,
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onProgress: ({ progress }) => {
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console.log(`[Progress] ${Math.round(progress * 100)}%`);
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},
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ffmpegOverride: (ff) => {
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console.log('[FFmpeg] Overriding FFmpeg path to use system FFmpeg');
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// Force use of system FFmpeg
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const newArgs = [
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ffmpegInfo.path, // Use system FFmpeg instead of Remotion's
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...ff.args.slice(1) // Skip the first argument (which is the path)
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];
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// Add NVENC settings if available
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if (ffmpegInfo.hasNvenc) {
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console.log('[FFmpeg] Adding NVENC settings');
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// Find where to insert video encoder settings
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const videoIndex = newArgs.findIndex(arg => arg === '-c:v' || arg === '-vcodec');
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if (videoIndex !== -1 && newArgs[videoIndex + 1] === 'libx264') {
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// Replace libx264 with h264_nvenc
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newArgs[videoIndex + 1] = 'h264_nvenc';
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// Add NVENC-specific settings AFTER the output file
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const outputIndex = newArgs.findIndex(arg => arg === outputPath);
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if (outputIndex !== -1) {
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// Insert NVENC settings before output
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newArgs.splice(outputIndex, 0,
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'-preset', 'p1',
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'-cq', '23'
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);
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}
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}
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}
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return newArgs;
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},
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audioBitrate: '192k',
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videoBitrate: '8M',
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});
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const renderTime = Date.now() - startTime;
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console.log(`[Render] Completed in ${Math.round(renderTime / 1000)}s`);
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console.log(`[Upload] Reading video file...`);
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status: 'done',
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video_url: publicUrl,
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render_time: renderTime,
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rendered_at: new Date().toISOString()
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encoding_method: ffmpegInfo.hasNvenc ? 'NVENC' : 'libx264'
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})
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.eq('id', projectId);
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// Status endpoint
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app.get('/status', async (req, res) => {
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const os = await import('os');
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const { execSync } = await import('child_process');
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let ffmpegInfo = {};
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try {
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const ffmpegPath = execSync('which ffmpeg', { encoding: 'utf8' }).trim();
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const version = execSync(`${ffmpegPath} -version 2>&1 | head -1`, { encoding: 'utf8' }).trim();
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const encoders = execSync(`${ffmpegPath} -encoders 2>&1`, { encoding: 'utf8' });
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ffmpegInfo = {
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path: ffmpegPath,
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version: version,
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has_nvenc: encoders.includes('h264_nvenc'),
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is_system: !version.includes('remotion')
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};
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} catch (error) {
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ffmpegInfo = { error: error.message };
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}
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res.json({
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status: 'running',
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cpu_cores: os.cpus().length,
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total_memory: Math.round(os.totalmem() / (1024 * 1024 * 1024)) + 'GB',
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free_memory: Math.round(os.freemem() / (1024 * 1024 * 1024)) + 'GB',
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ffmpeg: ffmpegInfo,
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bundle_cached: cachedBundle !== null,
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uptime: Math.round(process.uptime()) + 's'
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});
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});
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// Direct FFmpeg test
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app.get('/test-ffmpeg', async (req, res) => {
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try {
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const { execSync } = await import('child_process');
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// Test 1: Which FFmpeg
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const whichFfmpeg = execSync('which ffmpeg', { encoding: 'utf8' }).trim();
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// Test 2: Version
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const version = execSync(`${whichFfmpeg} -version 2>&1 | head -5`, { encoding: 'utf8' }).trim();
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// Test 3: Encoders
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const encoders = execSync(`${whichFfmpeg} -encoders 2>&1 | grep -E "(h264_nvenc|libx264)"`, { encoding: 'utf8' }).trim();
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// Test 4: Direct NVENC test
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let nvencTest = 'Not tested';
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try {
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execSync(`${whichFfmpeg} -f lavfi -i testsrc=duration=0.5:size=128x72:rate=1 -c:v h264_nvenc -y /tmp/test.mp4 2>&1`, { stdio: 'pipe' });
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nvencTest = 'Success';
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} catch (error) {
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nvencTest = `Failed: ${error.message.substring(0, 100)}`;
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}
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res.json({
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ffmpeg_path: whichFfmpeg,
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version: version,
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available_encoders: encoders,
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nvenc_test: nvencTest,
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using_system_ffmpeg: !version.includes('remotion')
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});
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} catch (error) {
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res.status(500).json({ error: error.message });
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}
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});
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// Start server
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app.listen(PORT, async () => {
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console.log(`🎬 FacelessFlowAI Renderer running on port ${PORT}`);
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console.log(`💾 Memory: ${Math.round(os.totalmem() / (1024 * 1024 * 1024))}GB`);
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console.log(`⚡ CPU Cores: ${os.cpus().length}`);
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// Check FFmpeg
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try {
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const { execSync } = await import('child_process');
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const ffmpegPath = execSync('which ffmpeg', { encoding: 'utf8' }).trim();
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const version = execSync(`${ffmpegPath} -version 2>&1 | head -1`, { encoding: 'utf8' }).trim();
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console.log(`📹 FFmpeg: ${version}`);
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if (version.includes('remotion')) {
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console.log('⚠️ Using Remotion FFmpeg (no NVENC)');
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} else {
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console.log('✅ Using system FFmpeg');
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// Check NVENC
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try {
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const nvenc = execSync(`${ffmpegPath} -encoders 2>&1 | grep -i nvenc`, { encoding: 'utf8' });
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console.log(`⚡ NVENC: Available`);
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} catch {
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console.log('⚡ NVENC: Not in system FFmpeg');
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}
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}
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} catch (error) {
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console.log('📹 FFmpeg: Not found');
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}
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console.log('--- Configuration ---');
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console.log('
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console.log('ENCODING:
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console.log('---------------------');
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// Auto-warmup
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import express from 'express';
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import cors from 'cors';
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import { bundle } from '@remotion/bundler';
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import { renderFrames, stitchFramesToVideo } from '@remotion/renderer';
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import { readFile, mkdir, rm, writeFile } from 'fs/promises';
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import { tmpdir } from 'os';
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import { join, dirname } from 'path';
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import { randomUUID } from 'crypto';
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res.json({
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status: 'ok',
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service: 'FacelessFlowAI Video Renderer',
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note: 'Custom rendering pipeline with NVENC'
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});
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});
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}
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}
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// Custom video stitching with system FFmpeg
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async function stitchFramesWithNVENC(frameDir, fps, outputPath, width = 1920, height = 1080) {
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const { exec } = await import('child_process');
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const { promisify } = await import('util');
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const execAsync = promisify(exec);
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try {
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console.log('[NVENC] Starting hardware encoding with system FFmpeg');
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// First, check if NVENC is available
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const { stdout: encoderCheck } = await execAsync('ffmpeg -encoders 2>&1 | grep -i nvenc');
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const hasNVENC = encoderCheck.includes('h264_nvenc');
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if (hasNVENC) {
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console.log('[NVENC] Using hardware encoding');
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// Build FFmpeg command for NVENC
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const ffmpegCmd = [
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'ffmpeg',
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'-y', // Overwrite output
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'-framerate', String(fps),
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'-i', `${frameDir}/%d.png`, // Input frames
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'-c:v', 'h264_nvenc', // NVENC encoder
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'-preset', 'p1', // Fastest quality preset
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'-cq', '20', // Constant quality
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'-movflags', '+faststart',
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'-pix_fmt', 'yuv420p',
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'-vf', `scale=${width}:${height}:flags=lanczos`,
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'-c:a', 'aac',
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'-b:a', '192k',
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outputPath
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].join(' ');
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console.log(`[NVENC] Command: ${ffmpegCmd}`);
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const { stdout, stderr } = await execAsync(ffmpegCmd, { maxBuffer: 1024 * 1024 * 50 });
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console.log('[NVENC] Encoding completed');
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} else {
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console.log('[NVENC] Falling back to software encoding');
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// Fallback to software encoding
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const ffmpegCmd = [
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'ffmpeg',
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'-y',
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'-framerate', String(fps),
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'-i', `${frameDir}/%d.png`,
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'-c:v', 'libx264',
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'-preset', 'fast',
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'-crf', '23',
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'-movflags', '+faststart',
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'-pix_fmt', 'yuv420p',
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'-vf', `scale=${width}:${height}:flags=lanczos`,
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'-c:a', 'aac',
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'-b:a', '192k',
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outputPath
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].join(' ');
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const { stdout, stderr } = await execAsync(ffmpegCmd, { maxBuffer: 1024 * 1024 * 50 });
|
| 136 |
+
console.log('[Software] Encoding completed');
|
| 137 |
+
}
|
| 138 |
|
| 139 |
+
return true;
|
| 140 |
|
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|
|
| 141 |
} catch (error) {
|
| 142 |
+
console.error('[Encoding] Error:', error.message);
|
| 143 |
+
throw error;
|
|
|
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|
| 144 |
}
|
| 145 |
}
|
| 146 |
|
| 147 |
+
// Custom render pipeline
|
| 148 |
+
async function customRender(composition, bundleLocation, scenes, settings, outputPath) {
|
| 149 |
+
const startTime = Date.now();
|
| 150 |
+
|
| 151 |
+
console.log('[Custom Render] Starting frame rendering...');
|
| 152 |
+
|
| 153 |
+
// Step 1: Render frames
|
| 154 |
+
const frameDir = join(tmpdir(), `frames-${randomUUID()}`);
|
| 155 |
+
await mkdir(frameDir, { recursive: true });
|
| 156 |
+
|
| 157 |
+
const renderStart = Date.now();
|
| 158 |
+
|
| 159 |
+
await renderFrames({
|
| 160 |
+
config: composition,
|
| 161 |
+
serveUrl: bundleLocation,
|
| 162 |
+
onStart: ({ frameCount }) => {
|
| 163 |
+
console.log(`[Frames] Rendering ${frameCount} frames`);
|
| 164 |
+
},
|
| 165 |
+
onFrameUpdate: ({ renderedFrames, encodedFrames }) => {
|
| 166 |
+
const percent = Math.round((renderedFrames / composition.durationInFrames) * 100);
|
| 167 |
+
const elapsed = (Date.now() - renderStart) / 1000;
|
| 168 |
+
const fps = elapsed > 0 ? Math.round(renderedFrames / elapsed) : 0;
|
| 169 |
+
console.log(`[Frames] ${percent}% | FPS: ${fps} | Rendered: ${renderedFrames}/${composition.durationInFrames}`);
|
| 170 |
+
},
|
| 171 |
+
outputDir: frameDir,
|
| 172 |
+
inputProps: { scenes, settings },
|
| 173 |
+
imageFormat: 'png',
|
| 174 |
+
compositionId: composition.id,
|
| 175 |
+
concurrency: 6,
|
| 176 |
+
chromiumOptions: {
|
| 177 |
+
executablePath: '/usr/bin/google-chrome-stable',
|
| 178 |
+
args: ['--no-sandbox', '--disable-dev-shm-usage']
|
| 179 |
+
},
|
| 180 |
+
});
|
| 181 |
+
|
| 182 |
+
const frameTime = Date.now() - renderStart;
|
| 183 |
+
console.log(`[Frames] Completed in ${Math.round(frameTime / 1000)}s`);
|
| 184 |
+
|
| 185 |
+
// Step 2: Stitch frames with NVENC
|
| 186 |
+
console.log('[Custom Render] Stitching frames to video...');
|
| 187 |
+
const stitchStart = Date.now();
|
| 188 |
+
|
| 189 |
+
await stitchFramesWithNVENC(
|
| 190 |
+
frameDir,
|
| 191 |
+
composition.fps,
|
| 192 |
+
outputPath,
|
| 193 |
+
composition.width,
|
| 194 |
+
composition.height
|
| 195 |
+
);
|
| 196 |
+
|
| 197 |
+
const stitchTime = Date.now() - stitchStart;
|
| 198 |
+
console.log(`[Stitching] Completed in ${Math.round(stitchTime / 1000)}s`);
|
| 199 |
+
|
| 200 |
+
// Step 3: Cleanup frames
|
| 201 |
+
await rm(frameDir, { recursive: true, force: true });
|
| 202 |
+
|
| 203 |
+
const totalTime = Date.now() - startTime;
|
| 204 |
+
console.log(`[Custom Render] Total time: ${Math.round(totalTime / 1000)}s`);
|
| 205 |
+
|
| 206 |
+
return totalTime;
|
| 207 |
+
}
|
| 208 |
+
|
| 209 |
// Render endpoint
|
| 210 |
app.post('/render', async (req, res) => {
|
| 211 |
const { projectId, scenes, settings } = req.body;
|
|
|
|
| 229 |
// 1. Respond immediately
|
| 230 |
res.json({
|
| 231 |
success: true,
|
| 232 |
+
message: 'Rendering started in background',
|
| 233 |
+
note: 'Using custom render pipeline with hardware acceleration'
|
| 234 |
});
|
| 235 |
|
| 236 |
// 2. Start Background Process
|
|
|
|
| 243 |
const bundleLocation = await getCachedBundle();
|
| 244 |
console.log('[Bundle] Bundle ready');
|
| 245 |
|
| 246 |
+
const composition = await import('@remotion/renderer').then(mod =>
|
| 247 |
+
mod.selectComposition({
|
| 248 |
+
serveUrl: bundleLocation,
|
| 249 |
+
id: 'Main',
|
| 250 |
+
inputProps: { scenes, settings },
|
| 251 |
+
chromiumOptions: {
|
| 252 |
+
executablePath: '/usr/bin/google-chrome-stable',
|
| 253 |
+
args: ['--no-sandbox', '--disable-dev-shm-usage']
|
| 254 |
+
},
|
| 255 |
+
})
|
| 256 |
+
);
|
|
|
|
|
|
|
| 257 |
|
| 258 |
console.log(`[Composition] Loaded: ${composition.durationInFrames} frames at ${composition.fps}fps`);
|
| 259 |
|
|
|
|
| 261 |
await mkdir(tempDir, { recursive: true });
|
| 262 |
const outputPath = join(tempDir, 'output.mp4');
|
| 263 |
|
| 264 |
+
console.log('[Render] Starting custom render pipeline...');
|
| 265 |
|
| 266 |
+
const renderTime = await customRender(
|
| 267 |
composition,
|
| 268 |
+
bundleLocation,
|
| 269 |
+
scenes,
|
| 270 |
+
settings,
|
| 271 |
+
outputPath
|
| 272 |
+
);
|
| 273 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 274 |
console.log(`[Render] Completed in ${Math.round(renderTime / 1000)}s`);
|
| 275 |
|
| 276 |
console.log(`[Upload] Reading video file...`);
|
|
|
|
| 307 |
status: 'done',
|
| 308 |
video_url: publicUrl,
|
| 309 |
render_time: renderTime,
|
| 310 |
+
rendered_at: new Date().toISOString()
|
|
|
|
| 311 |
})
|
| 312 |
.eq('id', projectId);
|
| 313 |
|
|
|
|
| 340 |
// Status endpoint
|
| 341 |
app.get('/status', async (req, res) => {
|
| 342 |
const os = await import('os');
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 343 |
|
| 344 |
res.json({
|
| 345 |
status: 'running',
|
| 346 |
cpu_cores: os.cpus().length,
|
| 347 |
total_memory: Math.round(os.totalmem() / (1024 * 1024 * 1024)) + 'GB',
|
| 348 |
free_memory: Math.round(os.freemem() / (1024 * 1024 * 1024)) + 'GB',
|
|
|
|
| 349 |
bundle_cached: cachedBundle !== null,
|
| 350 |
+
uptime: Math.round(process.uptime()) + 's',
|
| 351 |
+
render_method: 'Custom pipeline with hardware acceleration'
|
| 352 |
});
|
| 353 |
});
|
| 354 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 355 |
// Start server
|
| 356 |
app.listen(PORT, async () => {
|
| 357 |
console.log(`🎬 FacelessFlowAI Renderer running on port ${PORT}`);
|
|
|
|
| 360 |
console.log(`💾 Memory: ${Math.round(os.totalmem() / (1024 * 1024 * 1024))}GB`);
|
| 361 |
console.log(`⚡ CPU Cores: ${os.cpus().length}`);
|
| 362 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 363 |
console.log('--- Configuration ---');
|
| 364 |
+
console.log('RENDER: Custom pipeline (renderFrames + FFmpeg)');
|
| 365 |
+
console.log('ENCODING: Hardware NVENC when available');
|
| 366 |
+
console.log('FRAMES: PNG format for quality');
|
| 367 |
console.log('---------------------');
|
| 368 |
|
| 369 |
// Auto-warmup
|