update_agent_goal ¶

def update_agent_goal(
    self,
    profile_arn: "capo_wellarchitected.types.agent_profile_arn.AgentProfileArn",
    id: "capo_wellarchitected.types.uuid.UUID",
    *,
    config_overrides: Optional[WellArchitectedClientConfig] = None,
    client_token: Optional[str] = None,
    pillars: Optional["capo_wellarchitected.types.pillars.Pillars"] = None,
    title: Optional[
        "capo_wellarchitected.types.sensitive_string.SensitiveString"
    ] = None,
    description: Optional[
        "capo_wellarchitected.types.sensitive_string.SensitiveString"
    ] = None,
) -> (
    "capo_wellarchitected.types.update_agent_goal_response.UpdateAgentGoalResponse"
):
    """<p>Updates the pillars and title of an existing goal associated with a profile.</p>

    Args:
        client_token: <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.</p>
        profile_arn: <p>The Amazon Resource Name (ARN) of the profile containing the goal to update.</p>
        id: <p>The unique identifier of the goal to update.</p>
        pillars: <p>The updated pillars for the goal. Pillars define the optimization focus areas such as cost, performance, resilience, and operational excellence.</p>
        title: <p>The updated title for the goal. Maximum length of 1000 characters.</p>
        description: <p>A description of the goal.</p>

    Raises:
        capo_wellarchitected.errors.access_denied_exception.AccessDeniedException: <p>User does not have sufficient access to perform this action.</p>
        capo_wellarchitected.errors.internal_server_exception.InternalServerException: <p>There is a problem with the Well-Architected Tool API service.</p>
        capo_wellarchitected.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found.</p>
        capo_wellarchitected.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_wellarchitected.errors.validation_exception.ValidationException: <p>The user input is not valid.</p>
        capo_wellarchitected.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_wellarchitected.types.update_agent_goal_request.UpdateAgentGoalRequest]",
    ) -> OperationResponse[
        "capo_wellarchitected.types.update_agent_goal_response.UpdateAgentGoalResponse"
    ]:
        import capo_wellarchitected._operations.well_architected_api_service_lambda.update_agent_goal

        output, http_response = (
            capo_wellarchitected._operations.well_architected_api_service_lambda.update_agent_goal.update_agent_goal(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_wellarchitected.types.update_agent_goal_request.UpdateAgentGoalRequest",
    ) -> dict[str, Any]:
        import capo_wellarchitected.types.update_agent_goal_request

        return (
            capo_wellarchitected.types.update_agent_goal_request.redact_sensitive(
                input_
            )
        )

    def _redact_output(
        output: "capo_wellarchitected.types.update_agent_goal_response.UpdateAgentGoalResponse",
    ) -> dict[str, Any]:
        import capo_wellarchitected.types.update_agent_goal_response

        return (
            capo_wellarchitected.types.update_agent_goal_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "UpdateAgentGoal",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_wellarchitected.types.update_agent_goal_request.UpdateAgentGoalRequest = {
        "profile_arn": profile_arn,
        "id": id,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if pillars is not None:
        input_["pillars"] = pillars
    if title is not None:
        input_["title"] = title
    if description is not None:
        input_["description"] = description

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