When trying to update an existing cluster the head not root volume size is being flagged becuase it is str(200), not int(200). It turns out that when passing the config to the CloudFormation CustomResource for the cluster it isn't preserving the integer types and is passing their values as strings.
Pass the configuration to the CustomResource as a json string and parse the json string back into a Python structure so that int and string types are correctly preserved.
Also combine the custom resources for the S3 config objects and the ParallelCluster so that a change to the json config string will be assured to also trigger an updates of the cluster.
Move the customer resource lambda to create_parallel_cluster_lambdas() where it belongs.
Save the config as json and yaml in a fixed s3 key in the assets bucket.
Delete CreateParallelClusterConfig lambda.
Functionality is move the CreateParallelClusterConfig.
Resolves #158
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
When trying to update an existing cluster the head not root volume size is being flagged becuase it is str(200), not int(200). It turns out that when passing the config to the CloudFormation CustomResource for the cluster it isn't preserving the integer types and is passing their values as strings.
Pass the configuration to the CustomResource as a json string and parse the json string back into a Python structure so that int and string types are correctly preserved.
Also combine the custom resources for the S3 config objects and the ParallelCluster so that a change to the json config string will be assured to also trigger an updates of the cluster.
Move the customer resource lambda to create_parallel_cluster_lambdas() where it belongs.
Save the config as json and yaml in a fixed s3 key in the assets bucket.
Delete CreateParallelClusterConfig lambda. Functionality is move the CreateParallelClusterConfig.
Resolves #158
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.