associate_service_action_with_provisioning_artifact ¶

def associate_service_action_with_provisioning_artifact(
    self,
    product_id: "capo_service_catalog.types.id.Id",
    provisioning_artifact_id: "capo_service_catalog.types.id.Id",
    service_action_id: "capo_service_catalog.types.id.Id",
    *,
    config_overrides: Optional[ServiceCatalogClientConfig] = None,
    accept_language: Optional[
        "capo_service_catalog.types.accept_language.AcceptLanguage"
    ] = None,
    idempotency_token: Optional[
        "capo_service_catalog.types.idempotency_token.IdempotencyToken"
    ] = None,
) -> "capo_service_catalog.types.associate_service_action_with_provisioning_artifact_output.AssociateServiceActionWithProvisioningArtifactOutput":
    """<p>Associates a self-service action with a provisioning artifact.</p>

    Args:
        product_id: <p>The product identifier. For example, <code>prod-abcdzk7xy33qa</code>.</p>
        provisioning_artifact_id: <p>The identifier of the provisioning artifact. For example, <code>pa-4abcdjnxjj6ne</code>.</p>
        service_action_id: <p>The self-service action identifier. For example, <code>act-fs7abcd89wxyz</code>.</p>
        accept_language: <p>The language code.</p> <ul> <li> <p> <code>jp</code> - Japanese</p> </li> <li> <p> <code>zh</code> - Chinese</p> </li> </ul>
        idempotency_token: <p>A unique identifier that you provide to ensure idempotency. If multiple requests from the same Amazon Web Services account use the same idempotency token, the same response is returned for each repeated request. </p>

    Raises:
        capo_service_catalog.errors.duplicate_resource_exception.DuplicateResourceException: <p>The specified resource is a duplicate.</p>
        capo_service_catalog.errors.invalid_parameters_exception.InvalidParametersException: <p>One or more parameters provided to the operation are not valid.</p>
        capo_service_catalog.errors.limit_exceeded_exception.LimitExceededException: <p>The current limits of the service would have been exceeded by this operation. Decrease your resource use or increase your service limits and retry the operation.</p>
        capo_service_catalog.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_service_catalog.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_service_catalog.types.associate_service_action_with_provisioning_artifact_input.AssociateServiceActionWithProvisioningArtifactInput]",
    ) -> OperationResponse[
        "capo_service_catalog.types.associate_service_action_with_provisioning_artifact_output.AssociateServiceActionWithProvisioningArtifactOutput"
    ]:
        import capo_service_catalog._operations.aws242_service_catalog_service.associate_service_action_with_provisioning_artifact

        output, http_response = (
            capo_service_catalog._operations.aws242_service_catalog_service.associate_service_action_with_provisioning_artifact.associate_service_action_with_provisioning_artifact(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("AssociateServiceActionWithProvisioningArtifact"),
    )
    input_: capo_service_catalog.types.associate_service_action_with_provisioning_artifact_input.AssociateServiceActionWithProvisioningArtifactInput = {
        "product_id": product_id,
        "provisioning_artifact_id": provisioning_artifact_id,
        "service_action_id": service_action_id,
    }
    if accept_language is not None:
        input_["accept_language"] = accept_language
    if idempotency_token is None:
        idempotency_token = str(uuid.uuid4())
    input_["idempotency_token"] = idempotency_token

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