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CreateFeedRequest

Source code in docs_src/capo_elementalinference/types/create_feed_request.py
class CreateFeedRequest(TypedDict, closed=True):
    name: "capo_elementalinference.types.resource_name.ResourceName"
    """<p>A user-friendly name for this feed.</p>"""
    access_role_arn: NotRequired[
        "capo_elementalinference.types.iam_role_arn.IamRoleArn"
    ]
    """<p>The ARN of an IAM role that Elemental Inference assumes to access resources in your account on your behalf. For example, the smart crop feature uses this role to read graphics-compositing templates from your Amazon S3 bucket. You specify one access role for each feed. </p>"""
    outputs: "capo_elementalinference.types.create_output_list.CreateOutputList"
    """<p>An array of outputs for this feed. Each output represents a specific Elemental Inference feature. For example, there is one output type for the smart crop feature. You must specify at least one output, but you can later add outputs using AssociateFeed, or add, modify, and delete outputs using UpdateFeed. </p>"""
    tags: NotRequired["capo_elementalinference.types.tag_map.TagMap"]
    """<p>Optional tags. You can also add tags later, using TagResource.</p>"""

access_role_arn instance-attribute

access_role_arn: NotRequired[IamRoleArn]

The ARN of an IAM role that Elemental Inference assumes to access resources in your account on your behalf. For example, the smart crop feature uses this role to read graphics-compositing templates from your Amazon S3 bucket. You specify one access role for each feed.

name instance-attribute

A user-friendly name for this feed.

outputs instance-attribute

An array of outputs for this feed. Each output represents a specific Elemental Inference feature. For example, there is one output type for the smart crop feature. You must specify at least one output, but you can later add outputs using AssociateFeed, or add, modify, and delete outputs using UpdateFeed.

tags instance-attribute

tags: NotRequired[TagMap]

Optional tags. You can also add tags later, using TagResource.