%% WARNING: DO NOT EDIT, AUTO-GENERATED CODE!
%% See https://github.com/aws-beam/aws-codegen for more details.

%% @doc Provides APIs for creating and managing Amazon Forecast resources.
-module(aws_forecastquery).

-export([query_forecast/2,
         query_forecast/3,
         query_what_if_forecast/2,
         query_what_if_forecast/3]).

-include_lib("hackney/include/hackney_lib.hrl").

%%====================================================================
%% API
%%====================================================================

%% @doc Retrieves a forecast for a single item, filtered by the supplied
%% criteria.
%%
%% The criteria is a key-value pair. The key is either `item_id' (or the
%% equivalent non-timestamp, non-target field) from the
%% `TARGET_TIME_SERIES' dataset, or one of the forecast dimensions
%% specified as part of the `FeaturizationConfig' object.
%%
%% By default, `QueryForecast' returns the complete date range for the
%% filtered forecast. You can request a specific date range.
%%
%% To get the full forecast, use the CreateForecastExportJob operation.
%%
%% The forecasts generated by Amazon Forecast are in the same timezone as the
%% dataset that was used to create the predictor.
query_forecast(Client, Input)
  when is_map(Client), is_map(Input) ->
    query_forecast(Client, Input, []).
query_forecast(Client, Input, Options)
  when is_map(Client), is_map(Input), is_list(Options) ->
    request(Client, <<"QueryForecast">>, Input, Options).

%% @doc Retrieves a what-if forecast.
query_what_if_forecast(Client, Input)
  when is_map(Client), is_map(Input) ->
    query_what_if_forecast(Client, Input, []).
query_what_if_forecast(Client, Input, Options)
  when is_map(Client), is_map(Input), is_list(Options) ->
    request(Client, <<"QueryWhatIfForecast">>, Input, Options).

%%====================================================================
%% Internal functions
%%====================================================================

-spec request(aws_client:aws_client(), binary(), map(), list()) ->
    {ok, Result, {integer(), list(), hackney:client()}} |
    {error, Error, {integer(), list(), hackney:client()}} |
    {error, term()} when
    Result :: map() | undefined,
    Error :: map().
request(Client, Action, Input, Options) ->
    RequestFun = fun() -> do_request(Client, Action, Input, Options) end,
    aws_request:request(RequestFun, Options).

do_request(Client, Action, Input0, Options) ->
    Client1 = Client#{service => <<"forecast">>},
    Host = build_host(<<"forecastquery">>, Client1),
    URL = build_url(Host, Client1),
    Headers = [
        {<<"Host">>, Host},
        {<<"Content-Type">>, <<"application/x-amz-json-1.1">>},
        {<<"X-Amz-Target">>, <<"AmazonForecastRuntime.", Action/binary>>}
    ],

    Input = Input0,

    Payload = jsx:encode(Input),
    SignedHeaders = aws_request:sign_request(Client1, <<"POST">>, URL, Headers, Payload),
    Response = hackney:request(post, URL, SignedHeaders, Payload, Options),
    handle_response(Response).

handle_response({ok, 200, ResponseHeaders, Client}) ->
    case hackney:body(Client) of
        {ok, <<>>} ->
            {ok, undefined, {200, ResponseHeaders, Client}};
        {ok, Body} ->
            Result = jsx:decode(Body),
            {ok, Result, {200, ResponseHeaders, Client}}
    end;
handle_response({ok, StatusCode, ResponseHeaders, Client}) ->
    {ok, Body} = hackney:body(Client),
    Error = jsx:decode(Body),
    {error, Error, {StatusCode, ResponseHeaders, Client}};
handle_response({error, Reason}) ->
    {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, Client) ->
    Proto = aws_client:proto(Client),
    Port = aws_client:port(Client),
    aws_util:binary_join([Proto, <<"://">>, Host, <<":">>, Port, <<"/">>], <<"">>).