Cancels a running Automated Reasoning policy build workflow. This stops the policy generation process and prevents further processing of the source documents.
Parameters:
-
policy_arn
(AutomatedReasoningPolicyArn)
–
The Amazon Resource Name (ARN) of the Automated Reasoning policy whose build workflow you want to cancel.
-
build_workflow_id
(AutomatedReasoningPolicyBuildWorkflowId)
–
The unique identifier of the build workflow to cancel. You can get this ID from the StartAutomatedReasoningPolicyBuildWorkflow response or by listing build workflows.
Raises:
Source code in docs_src/capo_bedrock/_services/async_bedrock.py
| async def cancel_automated_reasoning_policy_build_workflow(
self,
policy_arn: "capo_bedrock.types.automated_reasoning_policy_arn.AutomatedReasoningPolicyArn",
build_workflow_id: "capo_bedrock.types.automated_reasoning_policy_build_workflow_id.AutomatedReasoningPolicyBuildWorkflowId",
*,
config_overrides: Optional[AsyncBedrockClientConfig] = None,
) -> "capo_bedrock.types.cancel_automated_reasoning_policy_build_workflow_response.CancelAutomatedReasoningPolicyBuildWorkflowResponse":
"""<p>Cancels a running Automated Reasoning policy build workflow. This stops the policy generation process and prevents further processing of the source documents.</p>
Args:
policy_arn: <p>The Amazon Resource Name (ARN) of the Automated Reasoning policy whose build workflow you want to cancel.</p>
build_workflow_id: <p>The unique identifier of the build workflow to cancel. You can get this ID from the StartAutomatedReasoningPolicyBuildWorkflow response or by listing build workflows.</p>
Raises:
capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_bedrock.types.cancel_automated_reasoning_policy_build_workflow_request.CancelAutomatedReasoningPolicyBuildWorkflowRequest]",
) -> AsyncOperationResponse[
"capo_bedrock.types.cancel_automated_reasoning_policy_build_workflow_response.CancelAutomatedReasoningPolicyBuildWorkflowResponse"
]:
import capo_bedrock._operations.amazon_bedrock_control_plane_service.cancel_automated_reasoning_policy_build_workflow
(
output,
http_response,
) = await capo_bedrock._operations.amazon_bedrock_control_plane_service.cancel_automated_reasoning_policy_build_workflow.async_cancel_automated_reasoning_policy_build_workflow(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("CancelAutomatedReasoningPolicyBuildWorkflow"),
)
input_: capo_bedrock.types.cancel_automated_reasoning_policy_build_workflow_request.CancelAutomatedReasoningPolicyBuildWorkflowRequest = {
"policy_arn": policy_arn,
"build_workflow_id": build_workflow_id,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|