create_invalidation_for_distribution_tenant ¶

create_invalidation_for_distribution_tenant(
    id: string,
    invalidation_batch: InvalidationBatch,
    *,
    config_overrides: Optional[CloudFrontClientConfig] = None,
) -> CreateInvalidationForDistributionTenantResult

Creates an invalidation for a distribution tenant. For more information, see Invalidating files in the Amazon CloudFront Developer Guide.

Parameters:

id (string) –

The ID of the distribution tenant.

Raises:

AccessDenied –

Access denied.
BatchTooLarge –

Invalidation batch specified is too large.
EntityNotFound –

The entity was not found.
InconsistentQuantities –

The value of Quantity and the size of Items don't match.
InvalidArgument –

An argument is invalid.
MissingBody –

This operation requires a body. Ensure that the body is present and the Content-Type header is set.
TooManyInvalidationsInProgress –

You have exceeded the maximum number of allowable InProgress invalidation batch requests, or invalidation objects.
UnknownServiceError –

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

Source code in docs_src/capo_cloudfront/_services/cloud_front.py

def create_invalidation_for_distribution_tenant(
    self,
    id: "capo_cloudfront.types.string.string",
    invalidation_batch: "capo_cloudfront.types.invalidation_batch.InvalidationBatch",
    *,
    config_overrides: Optional[CloudFrontClientConfig] = None,
) -> "capo_cloudfront.types.create_invalidation_for_distribution_tenant_result.CreateInvalidationForDistributionTenantResult":
    """<p>Creates an invalidation for a distribution tenant. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Invalidation.html">Invalidating files</a> in the <i>Amazon CloudFront Developer Guide</i>.</p>

    Args:
        id: <p>The ID of the distribution tenant.</p>

    Raises:
        capo_cloudfront.errors.access_denied.AccessDenied: <p>Access denied.</p>
        capo_cloudfront.errors.batch_too_large.BatchTooLarge: <p>Invalidation batch specified is too large.</p>
        capo_cloudfront.errors.entity_not_found.EntityNotFound: <p>The entity was not found.</p>
        capo_cloudfront.errors.inconsistent_quantities.InconsistentQuantities: <p>The value of <code>Quantity</code> and the size of <code>Items</code> don't match.</p>
        capo_cloudfront.errors.invalid_argument.InvalidArgument: <p>An argument is invalid.</p>
        capo_cloudfront.errors.missing_body.MissingBody: <p>This operation requires a body. Ensure that the body is present and the <code>Content-Type</code> header is set.</p>
        capo_cloudfront.errors.too_many_invalidations_in_progress.TooManyInvalidationsInProgress: <p>You have exceeded the maximum number of allowable InProgress invalidation batch requests, or invalidation objects.</p>
        capo_cloudfront.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cloudfront.types.create_invalidation_for_distribution_tenant_request.CreateInvalidationForDistributionTenantRequest]",
    ) -> OperationResponse[
        "capo_cloudfront.types.create_invalidation_for_distribution_tenant_result.CreateInvalidationForDistributionTenantResult"
    ]:
        import capo_cloudfront._operations.cloudfront2020_05_31.create_invalidation_for_distribution_tenant

        output, http_response = (
            capo_cloudfront._operations.cloudfront2020_05_31.create_invalidation_for_distribution_tenant.create_invalidation_for_distribution_tenant(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("CreateInvalidationForDistributionTenant"),
    )
    input_: capo_cloudfront.types.create_invalidation_for_distribution_tenant_request.CreateInvalidationForDistributionTenantRequest = {
        "id": id,
        "invalidation_batch": invalidation_batch,
    }

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