Components

Allows custom code to be run inside a Docker image on AWS Batch as dataset availability events
are published.
When using an aws:core:batchExecArc, a compute environment is required to execute the Docker image.
Currently only Fargate is supported.

The "command" is the same as that would be sent to a docker image on execution.

Values in the command array may be JsonPath expressions back into the current context.
e.g. ['--lot', '$.arcNotifyEvent.lot', '--manifest', '$.arcNotifyEvent.manifest']

Available paths:
    $.arcNotifyEvent.lot - the current lot
    $.arcNotifyEvent.manifest - URI to the current manifest file
    $.arcNotifyEvent.dataset.name - the dataset name
    $.arcNotifyEvent.dataset.version - the dataset version
    $.arcNotifyEvent.dataset.pathURI - the URI to the root of the dataset

imagePath: A relative path
    The path to the Docker image to build.

imageBuildArgs: {key: value, ...}
    The arguments to pass to the Docker build tool.

imageBuildCacheEnabled:  true|false
    Whether to enable the Docker build cache. Disable to force a rebuild of the image specified by
    the imagePath.

imageExtraHash: A string value
    An extra value to include in the image hash. Use this to force a rebuild of the image.

environment: {key: value, ...}
    The environment variables to set in the Docker image.

command: [command, ...]
    The command to execute in the Docker image.

batchRuntimeProps: These only apply to the AWS Batch job that executes the Docker image.

lambdaRuntimeProps: These only apply to the Lambda functions used to manage the AWS Batch
    jobs within the arc.