[Epic] Evaluate MediaConvert examples

[brmur]

Evaluate the examples for creating a job that are linked to from https://docs.aws.amazon.com/mediaconvert/latest/apireference/custom-endpoints.html

• [x] #4575
• [x] #4579
• [ ] Python MediaConvert Examples
• [x] #7072
• [ ] #5150

[scmacdon]

I looked at the code. This is V1. I recommended that they upgrade to V2 and referenced the V2 in Github.

[AWSDocs-Jared]

Can you help address the following notes from my internal QA team, who attempted to run the Java examples?

When I try: ./run_example.sh CreateJob 'arn:aws:iam::REDACTEDROLE:role/service-role/MediaConvert_Default_Role''s3://mediaconvert/input.ts'

I get: [ERROR] No plugin found for prefix 's3' in the current project and in the plugin groups [org.apache.maven.plugins, org.codehaus.mojo] available from the repositories [local (/Users/REDCATEDUSER/.m2/repository), central (https://repo.maven.apache.org/maven2)] -> [Help 1]

So I created a presigned url for the output https://.......... ./run_example.sh CreateJob 'arn:aws:iam::REDACTEDROLE:role/service-role/MediaConvert_Default_Role' "$pre_signed_url"

And I got this error: [ERROR] No plugin found for prefix 'https' in the current project and in the plugin groups [org.apache.maven.plugins, org.codehaus.mojo] available from the repositories [local (/Users/REDACTEDUSER/.m2/repository), central (https://repo.maven.apache.org/maven2)] -> [Help 1]

I'm not sure how I should proceed.

I was able to run ./run_example.sh ListJobs

and ./run_example.sh GetEndpointURL

One point of note is that it was unclear that I had to set endpointURL in the config.properties file (and maybe s3path?)

[rlhagerm]

@scmacdon, could you take a look for Jared?

[scmacdon]

I just executed Java V2 CreateJob and it passed the test and created the job. Output is:

MediaConvert service URL: https://mlboolfjb.mediaconvert.us-west-2.amazonaws.com MediaConvert role arn: arn:aws:iam::xxxxx8047983:role/MediaConvert_Default_Role MediaConvert input file: s3://bucketscottxxxxxx/Sample.mp4 MediaConvert output path: s3://bucketscottxxxxx/javasdk/out/ Test 1 passed

All files were in the proper S3 bucket location.

Reach out to me at [email protected] and i can help you more.

[AWSDocs-Jared]

Feedback regarding the Kotlin examples from our QA team:

Blocking Issues

• The MediaConvert endpoint must be cached. Example code should accept an endpoint from a config file or other parameter before falling back to the mcClient.describeEndpoints() function call. See the C++ code.
• The https://docs.aws.amazon.com/sdk-for-kotlin/latest/developer-guide/setup-create-project-file.html has the wrong kts filename.
• The correct file name is build.gradle.kts
• The latest gradle, 8.0, has deprecated the WrapUtil class. gradle run will fail when running this code from gradle 8.0. [WrapUtil link] I do not know how to fix this.
• The following two imports for CreateJob.kt fail with version 0.18.0-beta or 0.24.0-beta and the build.gradle.kts file:

import aws.smithy.kotlin.runtime.client.endpoints.Endpoint
import aws.sdk.kotlin.services.mediaconvert.model.AacRateControlModed\

Suggestions

• Add build.gradle.kts and/or pom.xml to the source tree so that users can get a good configuration without having to guess at what's needed
• Add a mcEndpoint and outputLocation to the command line parameters for CreateJob
• Separate the output location from the inputFile location. Workflows have sources separate from end-user content.
• Import a job.json definition, then lightly modify it using the API model calls (See the C++ code for json import)
• Have a Makefile.gradle and Makefile.maven for the two recommended package managers
• Mention how to create and run a project. I assume with the 4 parameters (mcEndpoint, arn, input, outputLocation) it's something like:

gradle make
gradle run CreateJob https://4l8tgbpha.mediaconvert.us-west-2.amazonaws.com \
    arn:aws:iam::578553157327:role/service-role/MediaConvert_Default_Role \
    s3://mediaconvert/my_input_file.mp4 \
    s3://mediaconvert-output/public-playback/example/

Also, thanks in advance!

[Laren-AWS]

@scmacdon Can you take a look at the Kotlin feedback?