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create_collaboration_change_request

create_collaboration_change_request(
    collaboration_identifier: CollaborationIdentifier,
    changes: ChangeInputList,
    *,
    config_overrides: Optional[CleanRoomsClientConfig] = None,
) -> CreateCollaborationChangeRequestOutput

Creates a new change request to modify an existing collaboration. This enables post-creation modifications to collaborations through a structured API-driven approach.

Parameters:

  • collaboration_identifier (CollaborationIdentifier) –

    The identifier of the collaboration that the change request is made against.

  • changes (ChangeInputList) –

    The list of changes to apply to the collaboration. Each change specifies the type of modification and the details of what should be changed.

Raises:

Source code in docs_src/capo_cleanrooms/_services/clean_rooms.py
def create_collaboration_change_request(
    self,
    collaboration_identifier: "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier",
    changes: "capo_cleanrooms.types.change_input_list.ChangeInputList",
    *,
    config_overrides: Optional[CleanRoomsClientConfig] = None,
) -> "capo_cleanrooms.types.create_collaboration_change_request_output.CreateCollaborationChangeRequestOutput":
    """<p>Creates a new change request to modify an existing collaboration. This enables post-creation modifications to collaborations through a structured API-driven approach.</p>

    Args:
        collaboration_identifier: <p>The identifier of the collaboration that the change request is made against.</p>
        changes: <p>The list of changes to apply to the collaboration. Each change specifies the type of modification and the details of what should be changed.</p>

    Raises:
        capo_cleanrooms.errors.access_denied_exception.AccessDeniedException: <p>Caller does not have sufficient access to perform this action.</p>
        capo_cleanrooms.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
        capo_cleanrooms.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
        capo_cleanrooms.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
        capo_cleanrooms.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>Request denied because service quota has been exceeded.</p>
        capo_cleanrooms.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
        capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cleanrooms.types.create_collaboration_change_request_input.CreateCollaborationChangeRequestInput]",
    ) -> OperationResponse[
        "capo_cleanrooms.types.create_collaboration_change_request_output.CreateCollaborationChangeRequestOutput"
    ]:
        import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.create_collaboration_change_request

        output, http_response = (
            capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.create_collaboration_change_request.create_collaboration_change_request(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateCollaborationChangeRequest")
    )
    input_: capo_cleanrooms.types.create_collaboration_change_request_input.CreateCollaborationChangeRequestInput = {
        "collaboration_identifier": collaboration_identifier,
        "changes": changes,
    }

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