%% WARNING: DO NOT EDIT, AUTO-GENERATED CODE! %% See https://github.com/aws-beam/aws-codegen for more details. %% @doc %% Elastic Inference public APIs. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -module(aws_elastic_inference). -export([describe_accelerator_offerings/2, describe_accelerator_offerings/3, describe_accelerator_types/1, describe_accelerator_types/3, describe_accelerator_types/4, describe_accelerators/2, describe_accelerators/3, list_tags_for_resource/2, list_tags_for_resource/4, list_tags_for_resource/5, tag_resource/3, tag_resource/4, untag_resource/3, untag_resource/4]). -include_lib("hackney/include/hackney_lib.hrl"). %% Example: %% accelerator_type() :: #{ %% <<"acceleratorTypeName">> => string(), %% <<"memoryInfo">> => memory_info(), %% <<"throughputInfo">> => list(key_value_pair()()) %% } -type accelerator_type() :: #{binary() => any()}. %% Example: %% accelerator_type_offering() :: #{ %% <<"acceleratorType">> => string(), %% <<"location">> => string(), %% <<"locationType">> => list(any()) %% } -type accelerator_type_offering() :: #{binary() => any()}. %% Example: %% bad_request_exception() :: #{ %% <<"message">> => string() %% } -type bad_request_exception() :: #{binary() => any()}. %% Example: %% describe_accelerator_offerings_request() :: #{ %% <<"acceleratorTypes">> => list(string()()), %% <<"locationType">> := list(any()) %% } -type describe_accelerator_offerings_request() :: #{binary() => any()}. %% Example: %% describe_accelerator_offerings_response() :: #{ %% <<"acceleratorTypeOfferings">> => list(accelerator_type_offering()()) %% } -type describe_accelerator_offerings_response() :: #{binary() => any()}. %% Example: %% describe_accelerator_types_request() :: #{} -type describe_accelerator_types_request() :: #{}. %% Example: %% describe_accelerator_types_response() :: #{ %% <<"acceleratorTypes">> => list(accelerator_type()()) %% } -type describe_accelerator_types_response() :: #{binary() => any()}. %% Example: %% describe_accelerators_request() :: #{ %% <<"acceleratorIds">> => list(string()()), %% <<"filters">> => list(filter()()), %% <<"maxResults">> => integer(), %% <<"nextToken">> => string() %% } -type describe_accelerators_request() :: #{binary() => any()}. %% Example: %% describe_accelerators_response() :: #{ %% <<"acceleratorSet">> => list(elastic_inference_accelerator()()), %% <<"nextToken">> => string() %% } -type describe_accelerators_response() :: #{binary() => any()}. %% Example: %% elastic_inference_accelerator() :: #{ %% <<"acceleratorHealth">> => elastic_inference_accelerator_health(), %% <<"acceleratorId">> => string(), %% <<"acceleratorType">> => string(), %% <<"attachedResource">> => string(), %% <<"availabilityZone">> => string() %% } -type elastic_inference_accelerator() :: #{binary() => any()}. %% Example: %% elastic_inference_accelerator_health() :: #{ %% <<"status">> => string() %% } -type elastic_inference_accelerator_health() :: #{binary() => any()}. %% Example: %% filter() :: #{ %% <<"name">> => string(), %% <<"values">> => list(string()()) %% } -type filter() :: #{binary() => any()}. %% Example: %% internal_server_exception() :: #{ %% <<"message">> => string() %% } -type internal_server_exception() :: #{binary() => any()}. %% Example: %% key_value_pair() :: #{ %% <<"key">> => string(), %% <<"value">> => integer() %% } -type key_value_pair() :: #{binary() => any()}. %% Example: %% list_tags_for_resource_request() :: #{} -type list_tags_for_resource_request() :: #{}. %% Example: %% list_tags_for_resource_result() :: #{ %% <<"tags">> => map() %% } -type list_tags_for_resource_result() :: #{binary() => any()}. %% Example: %% memory_info() :: #{ %% <<"sizeInMiB">> => integer() %% } -type memory_info() :: #{binary() => any()}. %% Example: %% resource_not_found_exception() :: #{ %% <<"message">> => string() %% } -type resource_not_found_exception() :: #{binary() => any()}. %% Example: %% tag_resource_request() :: #{ %% <<"tags">> := map() %% } -type tag_resource_request() :: #{binary() => any()}. %% Example: %% tag_resource_result() :: #{} -type tag_resource_result() :: #{}. %% Example: %% untag_resource_request() :: #{ %% <<"tagKeys">> := list(string()()) %% } -type untag_resource_request() :: #{binary() => any()}. %% Example: %% untag_resource_result() :: #{} -type untag_resource_result() :: #{}. -type describe_accelerator_offerings_errors() :: resource_not_found_exception() | internal_server_exception() | bad_request_exception(). -type describe_accelerator_types_errors() :: internal_server_exception(). -type describe_accelerators_errors() :: resource_not_found_exception() | internal_server_exception() | bad_request_exception(). -type list_tags_for_resource_errors() :: resource_not_found_exception() | internal_server_exception() | bad_request_exception(). -type tag_resource_errors() :: resource_not_found_exception() | internal_server_exception() | bad_request_exception(). -type untag_resource_errors() :: resource_not_found_exception() | internal_server_exception() | bad_request_exception(). %%==================================================================== %% API %%==================================================================== %% @doc %% Describes the locations in which a given accelerator type or set of types %% is present in a given region. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec describe_accelerator_offerings(aws_client:aws_client(), describe_accelerator_offerings_request()) -> {ok, describe_accelerator_offerings_response(), tuple()} | {error, any()} | {error, describe_accelerator_offerings_errors(), tuple()}. describe_accelerator_offerings(Client, Input) -> describe_accelerator_offerings(Client, Input, []). -spec describe_accelerator_offerings(aws_client:aws_client(), describe_accelerator_offerings_request(), proplists:proplist()) -> {ok, describe_accelerator_offerings_response(), tuple()} | {error, any()} | {error, describe_accelerator_offerings_errors(), tuple()}. describe_accelerator_offerings(Client, Input0, Options0) -> Method = post, Path = ["/describe-accelerator-offerings"], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary}, {append_sha256_content_hash, false} | Options2], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc %% Describes the accelerator types available in a given region, as well as %% their characteristics, such as memory and throughput. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec describe_accelerator_types(aws_client:aws_client()) -> {ok, describe_accelerator_types_response(), tuple()} | {error, any()} | {error, describe_accelerator_types_errors(), tuple()}. describe_accelerator_types(Client) when is_map(Client) -> describe_accelerator_types(Client, #{}, #{}). -spec describe_accelerator_types(aws_client:aws_client(), map(), map()) -> {ok, describe_accelerator_types_response(), tuple()} | {error, any()} | {error, describe_accelerator_types_errors(), tuple()}. describe_accelerator_types(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_accelerator_types(Client, QueryMap, HeadersMap, []). -spec describe_accelerator_types(aws_client:aws_client(), map(), map(), proplists:proplist()) -> {ok, describe_accelerator_types_response(), tuple()} | {error, any()} | {error, describe_accelerator_types_errors(), tuple()}. describe_accelerator_types(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/describe-accelerator-types"], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary} | Options2], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc %% Describes information over a provided set of accelerators belonging to an %% account. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec describe_accelerators(aws_client:aws_client(), describe_accelerators_request()) -> {ok, describe_accelerators_response(), tuple()} | {error, any()} | {error, describe_accelerators_errors(), tuple()}. describe_accelerators(Client, Input) -> describe_accelerators(Client, Input, []). -spec describe_accelerators(aws_client:aws_client(), describe_accelerators_request(), proplists:proplist()) -> {ok, describe_accelerators_response(), tuple()} | {error, any()} | {error, describe_accelerators_errors(), tuple()}. describe_accelerators(Client, Input0, Options0) -> Method = post, Path = ["/describe-accelerators"], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary}, {append_sha256_content_hash, false} | Options2], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc %% Returns all tags of an Elastic Inference Accelerator. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec list_tags_for_resource(aws_client:aws_client(), binary() | list()) -> {ok, list_tags_for_resource_result(), tuple()} | {error, any()} | {error, list_tags_for_resource_errors(), tuple()}. list_tags_for_resource(Client, ResourceArn) when is_map(Client) -> list_tags_for_resource(Client, ResourceArn, #{}, #{}). -spec list_tags_for_resource(aws_client:aws_client(), binary() | list(), map(), map()) -> {ok, list_tags_for_resource_result(), tuple()} | {error, any()} | {error, list_tags_for_resource_errors(), tuple()}. list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap, []). -spec list_tags_for_resource(aws_client:aws_client(), binary() | list(), map(), map(), proplists:proplist()) -> {ok, list_tags_for_resource_result(), tuple()} | {error, any()} | {error, list_tags_for_resource_errors(), tuple()}. list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/tags/", aws_util:encode_uri(ResourceArn), ""], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary} | Options2], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc %% Adds the specified tags to an Elastic Inference Accelerator. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec tag_resource(aws_client:aws_client(), binary() | list(), tag_resource_request()) -> {ok, tag_resource_result(), tuple()} | {error, any()} | {error, tag_resource_errors(), tuple()}. tag_resource(Client, ResourceArn, Input) -> tag_resource(Client, ResourceArn, Input, []). -spec tag_resource(aws_client:aws_client(), binary() | list(), tag_resource_request(), proplists:proplist()) -> {ok, tag_resource_result(), tuple()} | {error, any()} | {error, tag_resource_errors(), tuple()}. tag_resource(Client, ResourceArn, Input0, Options0) -> Method = post, Path = ["/tags/", aws_util:encode_uri(ResourceArn), ""], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary}, {append_sha256_content_hash, false} | Options2], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc %% Removes the specified tags from an Elastic Inference Accelerator. %% %% February 15, 2023: Starting April 15, 2023, AWS will not onboard new %% customers to Amazon Elastic Inference (EI), and will help current %% customers migrate their workloads to options that offer better price and %% performance. %% After April 15, 2023, new customers will not be able to launch instances %% with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon %% EC2. %% However, customers who have used Amazon EI at least once during the past %% 30-day period are considered current customers and will be able to %% continue using the service. -spec untag_resource(aws_client:aws_client(), binary() | list(), untag_resource_request()) -> {ok, untag_resource_result(), tuple()} | {error, any()} | {error, untag_resource_errors(), tuple()}. untag_resource(Client, ResourceArn, Input) -> untag_resource(Client, ResourceArn, Input, []). -spec untag_resource(aws_client:aws_client(), binary() | list(), untag_resource_request(), proplists:proplist()) -> {ok, untag_resource_result(), tuple()} | {error, any()} | {error, untag_resource_errors(), tuple()}. untag_resource(Client, ResourceArn, Input0, Options0) -> Method = delete, Path = ["/tags/", aws_util:encode_uri(ResourceArn), ""], SuccessStatusCode = 200, {SendBodyAsBinary, Options1} = proplists_take(send_body_as_binary, Options0, false), {ReceiveBodyAsBinary, Options2} = proplists_take(receive_body_as_binary, Options1, false), Options = [{send_body_as_binary, SendBodyAsBinary}, {receive_body_as_binary, ReceiveBodyAsBinary}, {append_sha256_content_hash, false} | Options2], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, QueryMapping = [ {<<"tagKeys">>, <<"tagKeys">>} ], {Query_, Input} = aws_request:build_headers(QueryMapping, Input2), request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %%==================================================================== %% Internal functions %%==================================================================== -spec proplists_take(any(), proplists:proplist(), any()) -> {any(), proplists:proplist()}. proplists_take(Key, Proplist, Default) -> Value = proplists:get_value(Key, Proplist, Default), {Value, proplists:delete(Key, Proplist)}. -spec request(aws_client:aws_client(), atom(), iolist(), list(), list(), map() | undefined, list(), pos_integer() | undefined) -> {ok, {integer(), list()}} | {ok, Result, {integer(), list(), hackney:client()}} | {error, Error, {integer(), list(), hackney:client()}} | {error, term()} when Result :: map(), Error :: map(). request(Client, Method, Path, Query, Headers0, Input, Options, SuccessStatusCode) -> RequestFun = fun() -> do_request(Client, Method, Path, Query, Headers0, Input, Options, SuccessStatusCode) end, aws_request:request(RequestFun, Options). do_request(Client, Method, Path, Query, Headers0, Input, Options, SuccessStatusCode) -> Client1 = Client#{service => <<"elastic-inference">>}, Host = build_host(<<"api.elastic-inference">>, Client1), URL0 = build_url(Host, Path, Client1), URL = aws_request:add_query(URL0, Query), AdditionalHeaders1 = [ {<<"Host">>, Host} , {<<"Content-Type">>, <<"application/x-amz-json-1.1">>} ], Payload = case proplists:get_value(send_body_as_binary, Options) of true -> maps:get(<<"Body">>, Input, <<"">>); false -> encode_payload(Input) end, AdditionalHeaders = case proplists:get_value(append_sha256_content_hash, Options, false) of true -> add_checksum_hash_header(AdditionalHeaders1, Payload); false -> AdditionalHeaders1 end, Headers1 = aws_request:add_headers(AdditionalHeaders, Headers0), MethodBin = aws_request:method_to_binary(Method), SignedHeaders = aws_request:sign_request(Client1, MethodBin, URL, Headers1, Payload), Response = hackney:request(Method, URL, SignedHeaders, Payload, Options), DecodeBody = not proplists:get_value(receive_body_as_binary, Options), handle_response(Response, SuccessStatusCode, DecodeBody). add_checksum_hash_header(Headers, Body) -> [ {<<"X-Amz-CheckSum-SHA256">>, base64:encode(crypto:hash(sha256, Body))} | Headers ]. handle_response({ok, StatusCode, ResponseHeaders}, SuccessStatusCode, _DecodeBody) when StatusCode =:= 200; StatusCode =:= 202; StatusCode =:= 204; StatusCode =:= 206; StatusCode =:= SuccessStatusCode -> {ok, {StatusCode, ResponseHeaders}}; handle_response({ok, StatusCode, ResponseHeaders}, _, _DecodeBody) -> {error, {StatusCode, ResponseHeaders}}; handle_response({ok, StatusCode, ResponseHeaders, Client}, SuccessStatusCode, DecodeBody) when StatusCode =:= 200; StatusCode =:= 202; StatusCode =:= 204; StatusCode =:= 206; StatusCode =:= SuccessStatusCode -> case hackney:body(Client) of {ok, <<>>} when StatusCode =:= 200; StatusCode =:= SuccessStatusCode -> {ok, #{}, {StatusCode, ResponseHeaders, Client}}; {ok, Body} -> Result = case DecodeBody of true -> try jsx:decode(Body) catch Error:Reason:Stack -> erlang:raise(error, {body_decode_failed, Error, Reason, StatusCode, Body}, Stack) end; false -> #{<<"Body">> => Body} end, {ok, Result, {StatusCode, ResponseHeaders, Client}} end; handle_response({ok, StatusCode, _ResponseHeaders, _Client}, _, _DecodeBody) when StatusCode =:= 503 -> %% Retriable error if retries are enabled {error, service_unavailable}; handle_response({ok, StatusCode, ResponseHeaders, Client}, _, _DecodeBody) -> {ok, Body} = hackney:body(Client), try DecodedError = jsx:decode(Body), {error, DecodedError, {StatusCode, ResponseHeaders, Client}} catch Error:Reason:Stack -> erlang:raise(error, {body_decode_failed, Error, Reason, StatusCode, Body}, Stack) end; handle_response({error, Reason}, _, _DecodeBody) -> {error, Reason}. build_host(_EndpointPrefix, #{region := <<"local">>, endpoint := Endpoint}) -> Endpoint; build_host(_EndpointPrefix, #{region := <<"local">>}) -> <<"localhost">>; build_host(EndpointPrefix, #{region := Region, endpoint := Endpoint}) -> aws_util:binary_join([EndpointPrefix, Region, Endpoint], <<".">>). build_url(Host, Path0, Client) -> Proto = aws_client:proto(Client), Path = erlang:iolist_to_binary(Path0), Port = aws_client:port(Client), aws_util:binary_join([Proto, <<"://">>, Host, <<":">>, Port, Path], <<"">>). -spec encode_payload(undefined | map()) -> binary(). encode_payload(undefined) -> <<>>; encode_payload(Input) -> jsx:encode(Input).