list_feeds `async` ¶

list_feeds(
    *,
    config_overrides: Optional[AsyncElementalInferenceClientConfig] = None,
    max_results: Optional[int] = None,
    next_token: Optional[str] = None,
) -> ListFeedsResponse

Displays a list of feeds that belong to this AWS account.

Parameters:

max_results (Optional[int], default: None ) –

The maximum number of results to return per API request.

For example, you submit a list request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.)

The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 10 results per page.

Valid Range: Minimum value of 1. Maximum value of 1000.
next_token (Optional[str], default: None ) –

The token that identifies the batch of results that you want to see.

For example, you submit a ListFeeds request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFeeds request a second time and specify the NextToken value.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
InternalServerErrorException –

An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support.
ResourceNotFoundException –

The resource specified in the action doesn't exist.
TooManyRequestException –

The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying.
ValidationException –

The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_elementalinference/_services/async_elemental_inference.py

async def list_feeds(
    self,
    *,
    config_overrides: Optional[AsyncElementalInferenceClientConfig] = None,
    max_results: Optional[int] = None,
    next_token: Optional[str] = None,
) -> "capo_elementalinference.types.list_feeds_response.ListFeedsResponse":
    """<p>Displays a list of feeds that belong to this AWS account.</p>

    Args:
        max_results: <p>The maximum number of results to return per API request.</p> <p>For example, you submit a list request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.) </p> <p>The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 10 results per page. </p> <p>Valid Range: Minimum value of 1. Maximum value of 1000.</p>
        next_token: <p>The token that identifies the batch of results that you want to see.</p> <p>For example, you submit a ListFeeds request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFeeds request a second time and specify the NextToken value. </p>

    Raises:
        capo_elementalinference.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_elementalinference.errors.internal_server_error_exception.InternalServerErrorException: <p>An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support. </p>
        capo_elementalinference.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the action doesn't exist.</p>
        capo_elementalinference.errors.too_many_request_exception.TooManyRequestException: <p>The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying. </p>
        capo_elementalinference.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying. </p>
        capo_elementalinference.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_elementalinference.types.list_feeds_request.ListFeedsRequest]",
    ) -> AsyncOperationResponse[
        "capo_elementalinference.types.list_feeds_response.ListFeedsResponse"
    ]:
        import capo_elementalinference._operations.elemental_inference.list_feeds

        (
            output,
            http_response,
        ) = await capo_elementalinference._operations.elemental_inference.list_feeds.async_list_feeds(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListFeeds")
    )
    input_: capo_elementalinference.types.list_feeds_request.ListFeedsRequest = {}
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

list_feeds async ¶

list_feeds `async` ¶