disassociate_feed ¶

disassociate_feed(
    id: FeedId,
    associated_resource_name: AssociatedResourceName,
    *,
    config_overrides: Optional[ElementalInferenceClientConfig] = None,
    dry_run: Optional[bool] = None,
) -> DisassociateFeedResponse

Releases the resource (the source media) that is associated with this feed. The outputs in the feed become DISABLED.

Parameters:

id (FeedId) –

The ID of the feed where you want to release the resource.
associated_resource_name (AssociatedResourceName) –

The name of the resource currently associated with the feed.
dry_run (Optional[bool], default: None ) –

Set to true if you want to do a dry run of the disassociate action.

Elemental Inference will validate that the real request would succeed without actually making any changes. A dry run catches errors such as missing IAM permissions. If the dry run fails, the action returns a 4xx error code.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
ConflictException –

The request could not be completed due to a conflict.
InternalServerErrorException –

An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support.
ResourceNotFoundException –

The resource specified in the action doesn't exist.
TooManyRequestException –

The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying.
ValidationException –

The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_elementalinference/_services/elemental_inference.py

def disassociate_feed(
    self,
    id: "capo_elementalinference.types.feed_id.FeedId",
    associated_resource_name: "capo_elementalinference.types.associated_resource_name.AssociatedResourceName",
    *,
    config_overrides: Optional[ElementalInferenceClientConfig] = None,
    dry_run: Optional[bool] = None,
) -> "capo_elementalinference.types.disassociate_feed_response.DisassociateFeedResponse":
    """<p>Releases the resource (the source media) that is associated with this feed. The outputs in the feed become DISABLED. </p>

    Args:
        id: <p>The ID of the feed where you want to release the resource.</p>
        associated_resource_name: <p>The name of the resource currently associated with the feed.</p>
        dry_run: <p>Set to true if you want to do a dry run of the disassociate action.</p> <p>Elemental Inference will validate that the real request would succeed without actually making any changes. A dry run catches errors such as missing IAM permissions. If the dry run fails, the action returns a 4xx error code. </p>

    Raises:
        capo_elementalinference.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_elementalinference.errors.conflict_exception.ConflictException: <p>The request could not be completed due to a conflict.</p>
        capo_elementalinference.errors.internal_server_error_exception.InternalServerErrorException: <p>An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support. </p>
        capo_elementalinference.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the action doesn't exist.</p>
        capo_elementalinference.errors.too_many_request_exception.TooManyRequestException: <p>The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying. </p>
        capo_elementalinference.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying. </p>
        capo_elementalinference.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_elementalinference.types.disassociate_feed_request.DisassociateFeedRequest]",
    ) -> OperationResponse[
        "capo_elementalinference.types.disassociate_feed_response.DisassociateFeedResponse"
    ]:
        import capo_elementalinference._operations.elemental_inference.disassociate_feed

        output, http_response = (
            capo_elementalinference._operations.elemental_inference.disassociate_feed.disassociate_feed(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DisassociateFeed")
    )
    input_: capo_elementalinference.types.disassociate_feed_request.DisassociateFeedRequest = {
        "id": id,
        "associated_resource_name": associated_resource_name,
    }
    if dry_run is not None:
        input_["dry_run"] = dry_run

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output