update_automated_reasoning_policy_annotations ¶

def update_automated_reasoning_policy_annotations(
    self,
    policy_arn: "capo_bedrock.types.automated_reasoning_policy_arn.AutomatedReasoningPolicyArn",
    build_workflow_id: "capo_bedrock.types.automated_reasoning_policy_build_workflow_id.AutomatedReasoningPolicyBuildWorkflowId",
    annotations: "capo_bedrock.types.automated_reasoning_policy_annotation_list.AutomatedReasoningPolicyAnnotationList",
    last_updated_annotation_set_hash: "capo_bedrock.types.automated_reasoning_policy_hash.AutomatedReasoningPolicyHash",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> "capo_bedrock.types.update_automated_reasoning_policy_annotations_response.UpdateAutomatedReasoningPolicyAnnotationsResponse":
    """<p>Updates the annotations for an Automated Reasoning policy build workflow. This allows you to modify extracted rules, variables, and types before finalizing the policy.</p>

    Args:
        policy_arn: <p>The Amazon Resource Name (ARN) of the Automated Reasoning policy whose annotations you want to update.</p>
        build_workflow_id: <p>The unique identifier of the build workflow whose annotations you want to update.</p>
        annotations: <p>The updated annotations containing modified rules, variables, and types for the policy.</p>
        last_updated_annotation_set_hash: <p>The hash value of the annotation set that you're updating. This is used for optimistic concurrency control to prevent conflicting updates.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.conflict_exception.ConflictException: <p>Error occurred because of a conflict while performing an operation.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock.types.update_automated_reasoning_policy_annotations_request.UpdateAutomatedReasoningPolicyAnnotationsRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.update_automated_reasoning_policy_annotations_response.UpdateAutomatedReasoningPolicyAnnotationsResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.update_automated_reasoning_policy_annotations

        output, http_response = (
            capo_bedrock._operations.amazon_bedrock_control_plane_service.update_automated_reasoning_policy_annotations.update_automated_reasoning_policy_annotations(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock.types.update_automated_reasoning_policy_annotations_request.UpdateAutomatedReasoningPolicyAnnotationsRequest",
    ) -> dict[str, Any]:
        import capo_bedrock.types.update_automated_reasoning_policy_annotations_request

        return capo_bedrock.types.update_automated_reasoning_policy_annotations_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "UpdateAutomatedReasoningPolicyAnnotations", redact_input=_redact_input
        ),
    )
    input_: capo_bedrock.types.update_automated_reasoning_policy_annotations_request.UpdateAutomatedReasoningPolicyAnnotationsRequest = {
        "policy_arn": policy_arn,
        "build_workflow_id": build_workflow_id,
        "annotations": annotations,
        "last_updated_annotation_set_hash": last_updated_annotation_set_hash,
    }

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