Lists the knowledge bases.
Parameters:
-
next_token
(Optional[NonEmptyString], default:
None
)
–
The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.
-
max_results
(Optional[MaxResults], default:
None
)
–
The maximum number of results to return per page.
Raises:
Source code in docs_src/capo_wisdom/_services/wisdom.py
| def list_knowledge_bases(
self,
*,
config_overrides: Optional[WisdomClientConfig] = None,
next_token: Optional[
"capo_wisdom.types.non_empty_string.NonEmptyString"
] = None,
max_results: Optional["capo_wisdom.types.max_results.MaxResults"] = None,
) -> "capo_wisdom.types.list_knowledge_bases_response.ListKnowledgeBasesResponse":
"""<p>Lists the knowledge bases.</p>
Args:
next_token: <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
max_results: <p>The maximum number of results to return per page.</p>
Raises:
capo_wisdom.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_wisdom.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by a service.</p>
capo_wisdom.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_wisdom.types.list_knowledge_bases_request.ListKnowledgeBasesRequest]",
) -> OperationResponse[
"capo_wisdom.types.list_knowledge_bases_response.ListKnowledgeBasesResponse"
]:
import capo_wisdom._operations.wisdom_service.list_knowledge_bases
output, http_response = (
capo_wisdom._operations.wisdom_service.list_knowledge_bases.list_knowledge_bases(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListKnowledgeBases")
)
input_: capo_wisdom.types.list_knowledge_bases_request.ListKnowledgeBasesRequest = {}
if next_token is not None:
input_["next_token"] = next_token
if max_results is not None:
input_["max_results"] = max_results
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|