Delphi 实现 图灵机器人API(IDHTTP POST )
此功能所需的 Key及接口文档,都可以在图灵机器人的官网下载, 小伙伴们需要申请自己的图灵机器人账号。
申请方法请自行百度“图灵机器人” 。
登录账号后,在左侧的[机器人接入],获取需要的信息,记得一定要关闭 secret,开启的话,需要对请求进行特殊处理,具体处理方法可以看接口文档中的“数据加密Demo”,当然Java 开发的小伙伴可以直接使用Demo(流行的语言真好,东西都是现成的)
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" alt="" />
下面贴出的是POST请求,实现图灵机器人的方法。
unit Demo; interface uses
Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms,
Dialogs, StdCtrls,IdHTTP; type
TForm1 = class(TForm)
Memo1: TMemo;
Edit1: TEdit;
Button1: TButton;
procedure Button1Click(Sender: TObject);
private
{ Private declarations }
public
{ Public declarations }
function SendMsg(Msg : string) : string;
end; var
Form1: TForm1; implementation {$R *.dfm} { TForm1 } function TForm1.SendMsg(Msg : string) : string;
var
idhttp : TIdHTTP;
url,ResquestStr,ResponseStr : string;
ResquestStream,ResponseStream : TStringStream;
begin
Result := '';
idhttp := TIdHTTP.Create(nil);
idhttp.Request.ContentType := ''; //info 传递信息需要 UTF8 加密,否则机器人不能正确识别
ResquestStr := '{"key":"你的KEY","info":"'+ UTF8Encode(Msg) +'","userid":"demo1"}'; //将传递的信息,写入请求流
ResquestStream := TStringStream.Create(ResquestStr);
ResponseStream := TStringStream.Create('');
url := 'http://www.tuling123.com/openapi/api';
try
try
//发起请求
idhttp.Post(url,ResquestStream,ResponseStream);
except
on e: Exception do
begin
ShowMessage('出现异常:' + e.Message);
end;
end;
//获取响应的信息
ResponseStr := ResponseStream.DataString;
//响应的信息需要进行 UTF8 解密
ResponseStr := UTF8Decode(ResponseStr);
Result := ResponseStr;
finally
idhttp.Free;
ResquestStream.Free;
ResponseStream.Free;
end;
end; procedure TForm1.Button1Click(Sender: TObject);
var
acceptInfo : string;
begin
//向图灵机器人发送信息,并获取返回
acceptInfo := SendMsg(Edit1.Text);
//将信息在界面上显示
Memo1.Lines.Add(acceptInfo);
end; end.
大概的方法就是这样了
题外话:虽然实现了图灵机器人API,图灵机器人有自己的NLP知识库,但是如何活用知识库,扩充我们的机器人,实在是没啥好的方向,哪位小伙伴有兴趣可以指教下
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