Retrieves the current preferences for Pricing Calculator.
Raises:
Source code in docs_src/capo_bcm_pricing_calculator/_services/bcm_pricing_calculator.py
| def get_preferences(
self, *, config_overrides: Optional[BCMPricingCalculatorClientConfig] = None
) -> "capo_bcm_pricing_calculator.types.get_preferences_response.GetPreferencesResponse":
"""<p> Retrieves the current preferences for Pricing Calculator. </p>
Raises:
capo_bcm_pricing_calculator.errors.access_denied_exception.AccessDeniedException: <p> You do not have sufficient access to perform this action. </p>
capo_bcm_pricing_calculator.errors.internal_server_exception.InternalServerException: <p> An internal error has occurred. Retry your request, but if the problem persists, contact Amazon Web Services support. </p>
capo_bcm_pricing_calculator.errors.throttling_exception.ThrottlingException: <p> The request was denied due to request throttling. </p>
capo_bcm_pricing_calculator.errors.validation_exception.ValidationException: <p> The input provided fails to satisfy the constraints specified by an Amazon Web Services service. </p>
capo_bcm_pricing_calculator.errors.data_unavailable_exception.DataUnavailableException: <p> The requested data is currently unavailable. </p>
capo_bcm_pricing_calculator.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_bcm_pricing_calculator.types.get_preferences_request.GetPreferencesRequest]",
) -> OperationResponse[
"capo_bcm_pricing_calculator.types.get_preferences_response.GetPreferencesResponse"
]:
import capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.get_preferences
output, http_response = (
capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.get_preferences.get_preferences(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetPreferences")
)
input_: capo_bcm_pricing_calculator.types.get_preferences_request.GetPreferencesRequest = {}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|