list_web_function_revisions ¶

def list_web_function_revisions(
    self,
    function_name: "capo_lambda_web.types.function_name.FunctionName",
    *,
    config_overrides: Optional[LambdaWebClientConfig] = None,
    filters: Optional["capo_lambda_web.types.filter_list.FilterList"] = None,
    max_results: Optional["capo_lambda_web.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_lambda_web.types.next_token.NextToken"] = None,
) -> "capo_lambda_web.types.list_web_function_revisions_response.ListWebFunctionRevisionsResponse":
    """<p>Lists revisions for a web function. Use pagination to ensure that the operation returns quickly and successfully.</p>

    Args:
        function_name: <p>The web function.</p> <p>You can specify either of the following:</p> <ul> <li> <p>The function name, for example <code>my-function</code>.</p> </li> <li> <p>The function ARN.</p> </li> </ul> <p>The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.</p>
        filters: <p>A list of filters to apply to the results. The only supported filter name is <code>state</code>. If you don't specify a filter, the operation returns all revisions for the web function.</p>
        max_results: <p>The maximum number of results to return in a single call. Minimum value of 1, maximum value of 50. Default is 50.</p>
        next_token: <p>The pagination token that's returned by a previous request to retrieve the next page of results.</p>

    Raises:
        capo_lambda_web.errors.access_denied_exception.AccessDeniedException: <p>You don't have permission to perform this operation. Check the IAM policies for your identity and any resource-based policy on the web function.</p>
        capo_lambda_web.errors.internal_server_exception.InternalServerException: <p>The request failed because of an internal error in the service. Retry the request. If the error persists, open a support case.</p>
        capo_lambda_web.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified web function, revision, endpoint, or resource-based policy doesn't exist. Verify the resource identifier and try again.</p>
        capo_lambda_web.errors.throttling_exception.ThrottlingException: <p>The request was denied because it exceeded the request rate that Lambda allows for your account. Reduce the frequency of requests and retry with exponential backoff.</p>
        capo_lambda_web.errors.validation_exception.ValidationException: <p>The request failed validation because a parameter was missing, malformed, or outside the allowed range. Check the request parameters and try again.</p>
        capo_lambda_web.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lambda_web.types.list_web_function_revisions_request.ListWebFunctionRevisionsRequest]",
    ) -> OperationResponse[
        "capo_lambda_web.types.list_web_function_revisions_response.ListWebFunctionRevisionsResponse"
    ]:
        import capo_lambda_web._operations.lambda_web.list_web_function_revisions

        output, http_response = (
            capo_lambda_web._operations.lambda_web.list_web_function_revisions.list_web_function_revisions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListWebFunctionRevisions")
    )
    input_: capo_lambda_web.types.list_web_function_revisions_request.ListWebFunctionRevisionsRequest = {
        "function_name": function_name
    }
    if filters is not None:
        input_["filters"] = filters
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output