Retrieves information about the knowledge base.
Parameters:
-
knowledge_base_id
(UuidOrArn)
–
The identifier of the knowledge base. Can be either the ID or the ARN. URLs cannot contain the ARN.
Raises:
Source code in docs_src/capo_qconnect/_services/q_connect.py
| def get_knowledge_base(
self,
knowledge_base_id: "capo_qconnect.types.uuid_or_arn.UuidOrArn",
*,
config_overrides: Optional[QConnectClientConfig] = None,
) -> "capo_qconnect.types.get_knowledge_base_response.GetKnowledgeBaseResponse":
"""<p>Retrieves information about the knowledge base.</p>
Args:
knowledge_base_id: <p>The identifier of the knowledge base. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>
Raises:
capo_qconnect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_qconnect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
capo_qconnect.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
capo_qconnect.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by a service.</p>
capo_qconnect.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_qconnect.types.get_knowledge_base_request.GetKnowledgeBaseRequest]",
) -> OperationResponse[
"capo_qconnect.types.get_knowledge_base_response.GetKnowledgeBaseResponse"
]:
import capo_qconnect._operations.wisdom_service.get_knowledge_base
output, http_response = (
capo_qconnect._operations.wisdom_service.get_knowledge_base.get_knowledge_base(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_qconnect.types.get_knowledge_base_response.GetKnowledgeBaseResponse",
) -> dict[str, Any]:
import capo_qconnect.types.get_knowledge_base_response
return capo_qconnect.types.get_knowledge_base_response.redact_sensitive(
output
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("GetKnowledgeBase", redact_output=_redact_output),
)
input_: capo_qconnect.types.get_knowledge_base_request.GetKnowledgeBaseRequest = {
"knowledge_base_id": knowledge_base_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|