%% WARNING: DO NOT EDIT, AUTO-GENERATED CODE! %% See https://github.com/aws-beam/aws-codegen for more details. -module(aws_lex_runtime_v2). -export([delete_session/6, delete_session/7, get_session/5, get_session/7, get_session/8, put_session/6, put_session/7, recognize_text/6, recognize_text/7, recognize_utterance/6, recognize_utterance/7, start_conversation/6, start_conversation/7]). -include_lib("hackney/include/hackney_lib.hrl"). %%==================================================================== %% API %%==================================================================== %% @doc Removes session information for a specified bot, alias, and user ID. %% %% You can use this operation to restart a conversation with a bot. When you %% remove a session, the entire history of the session is removed so that you %% can start again. %% %% You don't need to delete a session. Sessions have a time limit and will %% expire. Set the session time limit when you create the bot. The default is %% 5 minutes, but you can specify anything between 1 minute and 24 hours. %% %% If you specify a bot or alias ID that doesn't exist, you receive a %% `BadRequestException.' %% %% If the locale doesn't exist in the bot, or if the locale hasn't been %% enables for the alias, you receive a `BadRequestException'. delete_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input) -> delete_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input, []). delete_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input0, Options0) -> Method = delete, Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false}, {append_sha256_content_hash, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Returns session information for a specified bot, alias, and user. %% %% For example, you can use this operation to retrieve session information %% for a user that has left a long-running session in use. %% %% If the bot, alias, or session identifier doesn't exist, Amazon Lex V2 %% returns a `BadRequestException'. If the locale doesn't exist or is not %% enabled for the alias, you receive a `BadRequestException'. get_session(Client, BotAliasId, BotId, LocaleId, SessionId) when is_map(Client) -> get_session(Client, BotAliasId, BotId, LocaleId, SessionId, #{}, #{}). get_session(Client, BotAliasId, BotId, LocaleId, SessionId, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> get_session(Client, BotAliasId, BotId, LocaleId, SessionId, QueryMap, HeadersMap, []). get_session(Client, BotAliasId, BotId, LocaleId, SessionId, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Creates a new session or modifies an existing session with an Amazon %% Lex V2 bot. %% %% Use this operation to enable your application to set the state of the bot. put_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input) -> put_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input, []). put_session(Client, BotAliasId, BotId, LocaleId, SessionId, Input0, Options0) -> Method = post, Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false}, {append_sha256_content_hash, false} | Options0], HeadersMapping = [ {<<"ResponseContentType">>, <<"responseContentType">>} ], {Headers, Input1} = aws_request:build_headers(HeadersMapping, Input0), CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, case request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode) of {ok, Body0, {_, ResponseHeaders, _} = Response} -> ResponseHeadersParams = [ {<<"Content-Type">>, <<"contentType">>}, {<<"x-amz-lex-messages">>, <<"messages">>}, {<<"x-amz-lex-request-attributes">>, <<"requestAttributes">>}, {<<"x-amz-lex-session-id">>, <<"sessionId">>}, {<<"x-amz-lex-session-state">>, <<"sessionState">>} ], FoldFun = fun({Name_, Key_}, Acc_) -> case lists:keyfind(Name_, 1, ResponseHeaders) of false -> Acc_; {_, Value_} -> Acc_#{Key_ => Value_} end end, Body = lists:foldl(FoldFun, Body0, ResponseHeadersParams), {ok, Body, Response}; Result -> Result end. %% @doc Sends user input to Amazon Lex V2. %% %% Client applications use this API to send requests to Amazon Lex V2 at %% runtime. Amazon Lex V2 then interprets the user input using the machine %% learning model that it build for the bot. %% %% In response, Amazon Lex V2 returns the next message to convey to the user %% and an optional response card to display. %% %% If the optional post-fulfillment response is specified, the messages are %% returned as follows. For more information, see %% PostFulfillmentStatusSpecification. %% %% For more information, see Completion message. recognize_text(Client, BotAliasId, BotId, LocaleId, SessionId, Input) -> recognize_text(Client, BotAliasId, BotId, LocaleId, SessionId, Input, []). recognize_text(Client, BotAliasId, BotId, LocaleId, SessionId, Input0, Options0) -> Method = post, Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), "/text"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false}, {append_sha256_content_hash, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Sends user input to Amazon Lex V2. %% %% You can send text or speech. Clients use this API to send text and audio %% requests to Amazon Lex V2 at runtime. Amazon Lex V2 interprets the user %% input using the machine learning model built for the bot. %% %% The following request fields must be compressed with gzip and then base64 %% encoded before you send them to Amazon Lex V2. %% %% The following response fields are compressed using gzip and %% then base64 encoded by Amazon Lex V2. Before you can use these fields, you %% must decode and decompress them. %% %% The example contains a Java application that compresses and %% encodes a Java object to send to Amazon Lex V2, and a second that decodes %% and decompresses a response from Amazon Lex V2. %% %% If the optional post-fulfillment response is specified, the messages are %% returned as follows. For more information, see %% PostFulfillmentStatusSpecification. %% %% For more information, see Completion message. recognize_utterance(Client, BotAliasId, BotId, LocaleId, SessionId, Input) -> recognize_utterance(Client, BotAliasId, BotId, LocaleId, SessionId, Input, []). recognize_utterance(Client, BotAliasId, BotId, LocaleId, SessionId, Input0, Options0) -> Method = post, Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), "/utterance"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false}, {append_sha256_content_hash, false} | Options0], HeadersMapping = [ {<<"x-amz-lex-request-attributes">>, <<"requestAttributes">>}, {<<"Content-Type">>, <<"requestContentType">>}, {<<"Response-Content-Type">>, <<"responseContentType">>}, {<<"x-amz-lex-session-state">>, <<"sessionState">>} ], {Headers, Input1} = aws_request:build_headers(HeadersMapping, Input0), CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, case request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode) of {ok, Body0, {_, ResponseHeaders, _} = Response} -> ResponseHeadersParams = [ {<<"Content-Type">>, <<"contentType">>}, {<<"x-amz-lex-input-mode">>, <<"inputMode">>}, {<<"x-amz-lex-input-transcript">>, <<"inputTranscript">>}, {<<"x-amz-lex-interpretations">>, <<"interpretations">>}, {<<"x-amz-lex-messages">>, <<"messages">>}, {<<"x-amz-lex-request-attributes">>, <<"requestAttributes">>}, {<<"x-amz-lex-session-id">>, <<"sessionId">>}, {<<"x-amz-lex-session-state">>, <<"sessionState">>} ], FoldFun = fun({Name_, Key_}, Acc_) -> case lists:keyfind(Name_, 1, ResponseHeaders) of false -> Acc_; {_, Value_} -> Acc_#{Key_ => Value_} end end, Body = lists:foldl(FoldFun, Body0, ResponseHeadersParams), {ok, Body, Response}; Result -> Result end. %% @doc Starts an HTTP/2 bidirectional event stream that enables you to send %% audio, text, or DTMF input in real time. %% %% After your application starts a conversation, users send input to Amazon %% Lex V2 as a stream of events. Amazon Lex V2 processes the incoming events %% and responds with streaming text or audio events. %% %% Audio input must be in the following format: `audio/lpcm sample-rate=8000 %% sample-size-bits=16 channel-count=1; is-big-endian=false'. %% %% If the optional post-fulfillment response is specified, the messages are %% returned as follows. For more information, see %% PostFulfillmentStatusSpecification. %% %% For more information, see Completion message. %% %% If the optional update message is configured, it is played at the %% specified frequency while the Lambda function is running and the update %% message state is active. If the fulfillment update message is not active, %% the Lambda function runs with a 30 second timeout. %% %% For more information, see Update message %% %% The `StartConversation' operation is supported only in the following SDKs: %% %% start_conversation(Client, BotAliasId, BotId, LocaleId, SessionId, Input) -> start_conversation(Client, BotAliasId, BotId, LocaleId, SessionId, Input, []). start_conversation(Client, BotAliasId, BotId, LocaleId, SessionId, Input0, Options0) -> Method = post, Path = ["/bots/", aws_util:encode_uri(BotId), "/botAliases/", aws_util:encode_uri(BotAliasId), "/botLocales/", aws_util:encode_uri(LocaleId), "/sessions/", aws_util:encode_uri(SessionId), "/conversation"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false}, {append_sha256_content_hash, false} | Options0], HeadersMapping = [ {<<"x-amz-lex-conversation-mode">>, <<"conversationMode">>} ], {Headers, Input1} = aws_request:build_headers(HeadersMapping, Input0), CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %%==================================================================== %% Internal functions %%==================================================================== -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 => <<"lex">>}, Host = build_host(<<"runtime-v2-lex">>, 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) -> {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 = maps:get(proto, Client), Path = erlang:iolist_to_binary(Path0), Port = maps:get(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).