Batch Model¶

Data models for AWS Batch operations.

AWS Batch job models.

Defines the request and response models for creating and managing AWS Batch job definitions and submissions.

CreateDefinitionAndPrepareArgsRequest ¶

Bases: PydanticBaseModel

Request for creating a batch job definition and preparing submission args.

Attributes:

Name	Type	Description
`image`	`str`	Docker image URI for the job.
`job_definition_name`	`str`	Name for the job definition.
`job_queue_name`	`str`	Name of the job queue to submit to.
`job_role_arn`	`str \| None`	Optional IAM role ARN for the job.
`job_name`	`str \| None`	Optional name for the submitted job.
`command`	`list[str]`	Command to run in the container.
`environment`	`dict[str, str]`	Environment variables for the container.
`job_definition_tags`	`dict[str, str]`	Tags to apply to the job definition.
`resource_requirements`	`list[ResourceRequirementTypeDef] \| ResourceRequirements`	CPU, memory, and GPU requirements.
`mount_points`	`list[MountPointTypeDef]`	EFS/volume mount points.
`volumes`	`list[VolumeTypeDef]`	Volume definitions.
`retry_strategy`	`RetryStrategyTypeDef \| None`	Job retry configuration.
`privileged`	`bool`	Whether to run in privileged mode.

Bases: PydanticBaseModel

Response from creating a batch job definition.

Contains the prepared arguments for submitting the batch job.

Attributes:

Name	Type	Description
`job_name`	`str`	Name for the submitted job.
`job_definition_arn`	`str \| None`	ARN of the created job definition.
`job_queue_arn`	`str`	ARN of the job queue.
`parameters`	`dict[str, Any]`	Job parameters for submission.
`container_overrides`	`dict[str, Any]`	Container override settings.