Retrieves metadata for a sequence store using its ID and returns it in JSON format.
Parameters:
Raises:
Source code in docs_src/capo_omics/_services/omics.py
| def get_sequence_store(
self,
id: "capo_omics.types.sequence_store_id.SequenceStoreId",
*,
config_overrides: Optional[OmicsClientConfig] = None,
) -> "capo_omics.types.get_sequence_store_response.GetSequenceStoreResponse":
"""<p>Retrieves metadata for a sequence store using its ID and returns it in JSON format.</p>
Args:
id: <p>The store's ID.</p>
Raises:
capo_omics.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_omics.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred. Try the request again.</p>
capo_omics.errors.request_timeout_exception.RequestTimeoutException: <p>The request timed out.</p>
capo_omics.errors.resource_not_found_exception.ResourceNotFoundException: <p>The target resource was not found in the current Region.</p>
capo_omics.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_omics.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_omics.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_omics.types.get_sequence_store_request.GetSequenceStoreRequest]",
) -> OperationResponse[
"capo_omics.types.get_sequence_store_response.GetSequenceStoreResponse"
]:
import capo_omics._operations.omics.get_sequence_store
output, http_response = (
capo_omics._operations.omics.get_sequence_store.get_sequence_store(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetSequenceStore")
)
input_: capo_omics.types.get_sequence_store_request.GetSequenceStoreRequest = {
"id": id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|