index.ts

// Copyright (c) Microsoft Corporation.
// Licensed under the MIT license.

import { DefaultAzureCredential } from "@azure/identity";
import {
    AzureMediaServices,
    AssetContainerPermission,
    JobOutputAsset,
    JobInputUnion,
    JobsGetResponse,
    TransformOutput,
    KnownAacAudioProfile,
    KnownOnErrorType,
    KnownPriority,
    Transform,
    KnownH264Complexity,
    KnownRotation
} from '@azure/arm-mediaservices';
import * as factory from "../../Common/Encoding/transformFactory";
import * as jobHelper from "../../Common/Encoding/encodingJobHelpers";
import { v4 as uuidv4 } from 'uuid';
// Load the .env file if it exists
import * as dotenv from "dotenv";
dotenv.config();

// This is the main Media Services client object
let mediaServicesClient: AzureMediaServices;

// Copy the samples.env file and rename it to .env first, then populate it's values with the values obtained 
// from your Media Services account's API Access page in the Azure portal.
const subscriptionId: string = process.env.AZURE_SUBSCRIPTION_ID as string;
const resourceGroup: string = process.env.AZURE_RESOURCE_GROUP as string;
const accountName: string = process.env.AZURE_MEDIA_SERVICES_ACCOUNT_NAME as string;

// This sample uses the default Azure Credential object, which relies on the environment variable settings.
// If you wish to use User assigned managed identity, see the samples for v2 of @azure/identity
// Managed identity authentication is supported via either the DefaultAzureCredential or the ManagedIdentityCredential classes
// https://docs.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest
// See the following examples for how to authenticate in Azure with managed identity
// https://github.com/Azure/azure-sdk-for-js/blob/@azure/identity_2.0.1/sdk/identity/identity/samples/AzureIdentityExamples.md#authenticating-in-azure-with-managed-identity 

// const credential = new ManagedIdentityCredential("<USER_ASSIGNED_MANAGED_IDENTITY_CLIENT_ID>");
const credential = new DefaultAzureCredential();

// ----------- BEGIN SAMPLE SETTINGS -------------------------------

// You can either specify a local input file with the inputFile or an input Url with inputUrl. 
// Just set the other one to null to have it select the right JobInput class type

// const inputFile = "Media\\<<yourfilepath.mp4>>"; // Place your media in the /Media folder at the root of the samples. Code for upload uses relative path to current working directory for Node;
let inputFile: string //= "Media\\ignite.mp4";

// This is a hosted sample file to use
let inputUrl: string = "https://amssamples.streaming.mediaservices.windows.net/2e91931e-0d29-482b-a42b-9aadc93eb825/AzurePromo.mp4";

// Args
const outputFolder: string = "./Output";
const namePrefix: string = "encodeRotate90";
const transformName = "H264EncodingRotate90";

// ----------- END SAMPLE SETTINGS -------------------------------

///////////////////////////////////////////
//   Main entry point for sample script  //
///////////////////////////////////////////
export async function main() {



    mediaServicesClient = new AzureMediaServices(credential, subscriptionId);

    // Configure the jobHelper to simplify the sample code
    // We use the /Common/Encoding/encodingJobHelpers.ts file to consolidate the code for job creation and submission
    // This helps to keep the main sample cleaner and avoid so much redundant code in samples
    jobHelper.setMediaServicesClient(mediaServicesClient);
    jobHelper.setAccountName(accountName);
    jobHelper.setResourceGroup(resourceGroup);

    // Create a new Standard encoding Transform for H264
    console.log(`Creating Standard Encoding transform named: ${transformName}`);

    // First we create a TransformOutput
    let transformOutput: TransformOutput[] = [{
        preset: factory.createStandardEncoderPreset({
            codecs: [
                factory.createAACaudio({
                    channels: 2,
                    samplingRate: 48000,
                    bitrate: 128000,
                    profile: KnownAacAudioProfile.AacLc
                }),
                factory.createH264Video({
                    keyFrameInterval: "PT2S", //ISO 8601 format supported
                    complexity: KnownH264Complexity.Speed, // this is the cheapest setting. Set to Balanced or Quality as needed.
                    layers: [
                        factory.createH264Layer({
                            bitrate: 3600000, // Units are in bits per second and not kbps or Mbps - 3.6 Mbps or 3,600 kbps
                            width: "1280",
                            height: "720",
                            label: "HD-3600kbps" // This label is used to modify the file name in the output formats
                        })
                    ]
                }),
            ],
            // Specify the format for the output files - one for video+audio, and another for the thumbnails
            formats: [
                // Mux the H.264 video and AAC audio into MP4 files, using basename, label, bitrate and extension macros
                // Note that since you have multiple H264Layers defined above, you have to use a macro that produces unique names per H264Layer
                // Either {Label} or {Bitrate} should suffice
                factory.createMp4Format({
                    filenamePattern: "Video-{Basename}-{Label}-{Bitrate}{Extension}"
                })
            ],
            filters: {
                rotation: KnownRotation.Rotate90 // Other options here include Auto rotation if the content contains metadata
            }
        }),
        // What should we do with the job if there is an error?
        onError: KnownOnErrorType.StopProcessingJob,
        // What is the relative priority of this job to others? Normal, high or low?
        relativePriority: KnownPriority.Normal
    }
    ];

    console.log("Creating encoding transform...");

    let transform: Transform = {
        name: transformName,
        description: "A simple custom H264 encoding transform that rotates the video 90 degrees",
        outputs: transformOutput
    }

    await mediaServicesClient.transforms.createOrUpdate(resourceGroup, accountName, transformName, transform)
        .then((transform) => {
            console.log(`Transform ${transform.name} created (or updated if it existed already).`);
        })
        .catch((reason) => {
            console.log(`There was an error creating the transform. ${reason}`)
        });

    let uniqueness = uuidv4();
    let jobVideoInputAsset = await jobHelper.getJobInputType(inputFile, inputUrl, namePrefix, uniqueness);
    let outputAssetName = `${namePrefix}-output-${uniqueness}`;
    let jobName = `${namePrefix}-job-${uniqueness}`;

    console.log("Creating the output Asset (container) to encode the content into...");
    await mediaServicesClient.assets.createOrUpdate(resourceGroup, accountName, outputAssetName, {});

    let jobInputs = [
        jobVideoInputAsset
    ]

    console.log(`Submitting the encoding job to the ${transformName} job queue...`);
    let job = await jobHelper.submitJobMultiInputs(transformName, jobName, jobInputs, outputAssetName);

    console.log(`Waiting for encoding Job - ${job.name} - to finish...`);
    job = await jobHelper.waitForJobToFinish(transformName, jobName);

    if (job.state == "Finished") {
        await jobHelper.downloadResults(outputAssetName as string, outputFolder);
        console.log("Downloaded results to local folder. Please review the outputs from the encoding job.")
    }
}


main().catch((err) => {

    console.error("Error running sample:", err.message);
    console.error(`Error code: ${err.code}`);

    if (err.name == 'RestError') {
        // REST API Error message
        console.error("Error request:\n\n", err.request);
    }

});