Test your packages with a Maya render job

After you build the Maya, MtoA, and maya-openjd packages, you can test them with a render job. The Deadline Cloud samples repository contains a turntable with Maya/Arnold job bundle that renders an animation using Maya and Arnold. The job bundle also uses FFmpeg to encode a video, which is available from the conda-forge channel.

Testing locally

You can run the job template on your workstation using the Open Job Description CLI. Install the CLI with pip.

pip install openjd-cli

From the job_bundles directory in the samples repository, run the following command. The ErrorOnArnoldLicenseFail=false parameter tells Arnold to render with watermarks instead of failing when no license is available.

openjd run turntable_with_maya_arnold/template.yaml \
    --environment ../queue_environments/conda_queue_env_pyrattler.yaml \
    -p CondaPackages="maya maya-mtoa maya-openjd ffmpeg" \
    -p CondaChannels="file://$HOME/my-conda-channel conda-forge" \
    -p ErrorOnArnoldLicenseFail=false \
    -p FrameRange=1-5

The --environment option applies the conda queue environment, which creates a conda virtual environment with the packages specified in CondaPackages. The CondaChannels parameter includes both the local channel for your custom packages and conda-forge for ffmpeg. If you published to an Amazon S3 channel instead of a local channel, replace the file:// path with your s3:// channel URL.

When the job completes, the rendered output is in the turntable_with_maya_arnold/output/ directory.

Testing on Deadline Cloud

After you configure your production queue to use the Amazon S3 conda channel, submit the render job to Deadline Cloud. Add the conda-forge channel to the CondaChannels parameter in your conda queue environment to provide a source for ffmpeg and the Python dependencies that the adaptor requires. From the job_bundles directory in the samples repository, run the following command.

deadline bundle submit turntable_with_maya_arnold

Use the Deadline Cloud monitor to track the progress of the job. In the monitor, select the task for the job and choose View logs. Select the Launch Conda session action to verify that the maya, maya-mtoa, and maya-openjd packages were found in the Amazon S3 channel.