Searches and lists spending limits based on specified filters. This operation supports pagination and allows filtering by various criteria to find specific spending limits. We recommend using pagination to ensure that the operation returns quickly and successfully.
Parameters:
-
next_token
(Optional[str], default:
None
)
–
The token to retrieve the next page of results. This value is returned from a previous call to SearchSpendingLimits when there are more results available.
-
max_results
(Optional[int], default:
None
)
–
The maximum number of results to return in a single call. Minimum value of 1, maximum value of 100. Default is 20.
-
filters
(Optional[SearchSpendingLimitsFilterList], default:
None
)
–
The filters to apply when searching for spending limits. Use filters to narrow down the results based on specific criteria.
Raises:
Source code in docs_src/capo_braket/_services/braket.py
| def search_spending_limits(
self,
*,
config_overrides: Optional[BraketClientConfig] = None,
next_token: Optional[str] = None,
max_results: Optional[int] = None,
filters: Optional[
"capo_braket.types.search_spending_limits_filter_list.SearchSpendingLimitsFilterList"
] = None,
) -> (
"capo_braket.types.search_spending_limits_response.SearchSpendingLimitsResponse"
):
"""<p>Searches and lists spending limits based on specified filters. This operation supports pagination and allows filtering by various criteria to find specific spending limits. We recommend using pagination to ensure that the operation returns quickly and successfully.</p>
Args:
next_token: <p>The token to retrieve the next page of results. This value is returned from a previous call to SearchSpendingLimits when there are more results available.</p>
max_results: <p>The maximum number of results to return in a single call. Minimum value of 1, maximum value of 100. Default is 20.</p>
filters: <p>The filters to apply when searching for spending limits. Use filters to narrow down the results based on specific criteria.</p>
Raises:
capo_braket.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
capo_braket.errors.internal_service_exception.InternalServiceException: <p>The request failed because of an unknown error.</p>
capo_braket.errors.throttling_exception.ThrottlingException: <p>The API throttling rate limit is exceeded.</p>
capo_braket.errors.validation_exception.ValidationException: <p>The input request failed to satisfy constraints expected by Amazon Braket.</p>
capo_braket.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_braket.types.search_spending_limits_request.SearchSpendingLimitsRequest]",
) -> OperationResponse[
"capo_braket.types.search_spending_limits_response.SearchSpendingLimitsResponse"
]:
import capo_braket._operations.braket.search_spending_limits
output, http_response = (
capo_braket._operations.braket.search_spending_limits.search_spending_limits(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("SearchSpendingLimits")
)
input_: capo_braket.types.search_spending_limits_request.SearchSpendingLimitsRequest = {}
if next_token is not None:
input_["next_token"] = next_token
if max_results is not None:
input_["max_results"] = max_results
if filters is not None:
input_["filters"] = filters
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|