+import { registerTSPaths } from '../server/helpers/register-ts-paths'
+registerTSPaths()
+
import * as program from 'commander'
-import { createReadStream } from 'fs'
-import { join } from 'path'
-import { createInterface } from 'readline'
import { VideoModel } from '../server/models/video/video'
import { initDatabaseModels } from '../server/initializers'
import { JobQueue } from '../server/lib/job-queue'
+import { VideoTranscodingPayload } from '../server/lib/job-queue/handlers/video-transcoding'
program
.option('-v, --video [videoUUID]', 'Video UUID')
+ .option('-r, --resolution [resolution]', 'Video resolution (integer)')
.parse(process.argv)
if (program['video'] === undefined) {
process.exit(-1)
}
+if (program.resolution !== undefined && Number.isNaN(+program.resolution)) {
+ console.error('The resolution must be an integer (example: 1080).')
+ process.exit(-1)
+}
+
run()
.then(() => process.exit(0))
.catch(err => {
const video = await VideoModel.loadByUUID(program['video'])
if (!video) throw new Error('Video not found.')
- const dataInput = {
- videoUUID: video.uuid,
- isNewVideo: false
- }
+ const dataInput: VideoTranscodingPayload = program.resolution !== undefined
+ ? { type: 'new-resolution' as 'new-resolution', videoUUID: video.uuid, isNewVideo: false, resolution: program.resolution }
+ : { type: 'optimize' as 'optimize', videoUUID: video.uuid, isNewVideo: false }
await JobQueue.Instance.init()
- await JobQueue.Instance.createJob({ type: 'video-file', payload: dataInput })
+ await JobQueue.Instance.createJob({ type: 'video-transcoding', payload: dataInput })
console.log('Transcoding job for video %s created.', video.uuid)
}