dragonflight/services/worker/src/workers/conform.js

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import { join } from 'path';
import { unlink, writeFile, mkdir } from 'fs/promises';
import { tmpdir } from 'os';
import { query } from '../db/client.js';
import { downloadFromS3, uploadToS3 } from '../s3/client.js';
import { trimSegment, concatSegments } from '../ffmpeg/executor.js';
import { parseEDL } from '../edl/parser.js';
const S3_BUCKET = process.env.S3_BUCKET || 'wild-dragon';
export const conformWorker = async (job) => {
const { jobId, edl, projectId, outputFormat } = job.data;
const tmpDir = tmpdir();
const edlPath = join(tmpDir, `edl-${job.id}.edl`);
const segmentsDir = join(tmpDir, `segments-${job.id}`);
const segmentListPath = join(tmpDir, `segments-${job.id}.txt`);
const outputPath = join(tmpDir, `output-${job.id}.${outputFormat || 'mov'}`);
try {
// Write EDL to temp file
await writeFile(edlPath, edl, 'utf-8');
// Parse EDL
await job.updateProgress(5);
console.log(`[conform] Parsing EDL for job ${jobId}`);
const edits = parseEDL(edl);
// Create temp directory for segment files
await mkdir(segmentsDir, { recursive: true });
let processedEdits = 0;
const concatList = [];
for (const edit of edits) {
await job.updateProgress(Math.min(5 + (processedEdits / edits.length) * 50, 55));
console.log(`[conform] Processing edit ${edit.editNumber}: ${edit.reelName}`);
// Look up asset by filename (the reel name in the EDL matches the clip filename)
const assetRes = await query(
'SELECT id, original_s3_key FROM assets WHERE filename = $1 LIMIT 1',
[edit.reelName]
);
if (assetRes.rows.length === 0) {
throw new Error(`Asset not found for reel: ${edit.reelName}`);
}
const { id: assetId, original_s3_key: sourceKey } = assetRes.rows[0];
const segmentInputPath = join(segmentsDir, `segment-${edit.editNumber}-src`);
const segmentOutputPath = join(segmentsDir, `segment-${edit.editNumber}.mov`);
// Download source clip from S3
console.log(`[conform] Downloading segment ${edit.editNumber} from S3 (${sourceKey})`);
await downloadFromS3(S3_BUCKET, sourceKey, segmentInputPath);
// Trim to EDL in/out points
console.log(`[conform] Trimming ${edit.editNumber}: ${edit.sourceIn}${edit.sourceOut}`);
await trimSegment(segmentInputPath, segmentOutputPath, edit.sourceIn, edit.sourceOut);
concatList.push(segmentOutputPath);
// Remove the (large) source download immediately to conserve disk
await unlink(segmentInputPath).catch(() => {});
processedEdits++;
}
// Write ffmpeg concat file
await job.updateProgress(60);
console.log(`[conform] Writing concat list for ${concatList.length} segments`);
const concatContent = concatList.map(p => `file '${p}'`).join('\n');
await writeFile(segmentListPath, concatContent, 'utf-8');
// Concatenate
await job.updateProgress(70);
console.log(`[conform] Concatenating segments for job ${jobId}`);
await concatSegments(segmentListPath, outputPath);
// Upload to S3
await job.updateProgress(85);
const outputKey = `jobs/${jobId}/output.${outputFormat || 'mov'}`;
console.log(`[conform] Uploading output to ${outputKey}`);
await uploadToS3(S3_BUCKET, outputKey, outputPath);
// Mark job complete
await job.updateProgress(95);
await query(
`UPDATE jobs SET status = 'complete', result = $1, updated_at = NOW() WHERE id = $2`,
[JSON.stringify({ output_key: outputKey }), jobId]
);
await job.updateProgress(100);
console.log(`[conform] Job ${jobId} complete`);
return { jobId, outputKey };
} catch (error) {
console.error(`[conform] Error in job ${jobId}:`, error);
await query(
`UPDATE jobs SET status = 'failed', error = $1, updated_at = NOW() WHERE id = $2`,
[error.message, jobId]
);
throw error;
} finally {
// Best-effort cleanup of temp files
await Promise.all([
unlink(edlPath).catch(() => {}),
unlink(segmentListPath).catch(() => {}),
unlink(outputPath).catch(() => {}),
]);
}
};