Unity 百度智能对话API

前言

前面实现了Unity调用百度的语音识别与语音合成之后呢，我想制作一个智能语音对话助手，本文就来实现智能人机对话（Unit）。

准备工作

第一步还是在百度智能云平台上选择相应的模块（智能对话Unit）创建应用，具体的过程就不多赘述了，以下就直接切入正题。

步骤

（1）制作一个对话框UI

（2）获取Access Token，代码如下：

 /// 

    /// 获取accessToken请求令牌
    /// 
    /// 
    IEnumerator _GetAccessToken()
    {
        var uri =
            string.Format(
                "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id={0}&client_secret={1}",
                api_key, secret_key);
        UnityWebRequest unityWebRequest = UnityWebRequest.Get(uri);
        yield return unityWebRequest.SendWebRequest();
        if (unityWebRequest.isDone)
        {
            Match match = Regex.Match(unityWebRequest.downloadHandler.text, @"access_token.:.(.*?).,");
            if (match.Success)
            {
                Debug.Log("Token已经匹配");
                accessToken = match.Groups[1].ToString();
            }
            else
            {
                Debug.Log("验证错误,获取AccessToken失败!!!");
            }
        }
    }

（3）其它逻辑编写以及智能对话Unit API的调用

 /// 

    /// NLP的人工智能对话功能
    /// 
    /// 
    /// 
    /// 
    void Unit_NLP(string mysay, string session_id = "", string action_id = "")
    {
        string token = accessToken;
        string host = "https://aip.baidubce.com/rpc/2.0/unit/service/chat?access_token=" + token;
        HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
        request.Method = "post";
        request.ContentType = "application/json";
        request.KeepAlive = true;
        JsonData send = new JsonData();
        send["version"] = "2.0";
        send["service_id"] = "S27034";
        send["log_id"] = "home";
        send["session_id"] = "home";
        send["action_id"] = "1017002";
        send["request"] = new JsonData();
        send["request"]["user_id"] = "88888";
        send["request"]["query"] = mysay;
        send["request"]["query_info"] = new JsonData();
        send["request"]["query_info"]["type"] = "TEXT";
        JsonData bot_session = new JsonData();
        bot_session["session_id"] = "";
        send["bot_session"] = JsonMapper.ToJson(bot_session);
        string sendStr = JsonMapper.ToJson(send);
        byte[] buffer = Encoding.UTF8.GetBytes(sendStr);
        request.ContentLength = buffer.Length;
        request.GetRequestStream().Write(buffer, 0, buffer.Length);
        HttpWebResponse response = (HttpWebResponse)request.GetResponse();
        StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.UTF8);
        string result = reader.ReadToEnd();
        JsonDecode(result);
    }

（4）对返回的数据进行解析，获得对话内容

 /// 

    /// 对NLP的回复进行Json解析
    /// 
    /// 
    /// 
    public List<string> JsonDecode(string js)
    {
        List<string> Says = new List<string>();
        var json = SimpleJson.SimpleJson.DeserializeObject<SimpleJson.JsonObject>(js);
        if (json.ContainsKey("result"))
        {
            var result = (SimpleJson.JsonObject)json["result"];
            if (result.ContainsKey("response_list"))
            {
                var resArray = (SimpleJson.JsonArray)result["response_list"];
                var res = (SimpleJson.JsonObject)resArray[0];
                if (res.ContainsKey("action_list"))
                {
                    var actArray = (SimpleJson.JsonArray)res["action_list"];
                    var act = (SimpleJson.JsonObject)actArray[0];
                    if (act.ContainsKey("say"))
                    {
                        var say = (string)act["say"];
                        chat.AddChatMessage(say,ChatUI.enumChatMessageType.MessageLeft);
                        Says.Add(say);
                    }

                }

            }
        }
        return Says;
    }

完整的代码如下：

using LitJson;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Net;
using System.Text;
using System.Text.RegularExpressions;
using UnityEngine;
using UnityEngine.UI;
using UnityEngine.Networking;

public class NLPScript : MonoBehaviour
{
    //自行填写自己的API密钥
    public string api_key;
    public string secret_key;

    string accessToken = string.Empty;
    InputField messagePanel;


    ChatUI chat;//一个类似微信聊天的UI界面
    // Start is called before the first frame update
    void Start()
    {
        chat = GameObject.Find("Canvas/ChatUI").GetComponent<ChatUI>();
        messagePanel = GameObject.Find("Canvas/ChatUI/InputArea/InputField").GetComponent<InputField>();
        StartCoroutine(_GetAccessToken());
        if (messagePanel!=null)
        {
            messagePanel.onEndEdit.AddListener(delegate
            {
                if (messagePanel.text == "")
                    return;
                chat.AddChatMessage(messagePanel.text,ChatUI.enumChatMessageType.MessageRight);
                Unit_NLP(messagePanel.text);
            });
        }
    }



    /// 

    /// NLP的人工智能对话功能
    /// 
    /// 
    /// 
    /// 
    void Unit_NLP(string mysay, string session_id = "", string action_id = "")
    {
        string token = accessToken;
        string host = "https://aip.baidubce.com/rpc/2.0/unit/service/chat?access_token=" + token;
        HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
        request.Method = "post";
        request.ContentType = "application/json";
        request.KeepAlive = true;
        JsonData send = new JsonData();
        send["version"] = "2.0";
        send["service_id"] = "S27034";
        send["log_id"] = "home";
        send["session_id"] = "home";
        send["action_id"] = "1017002";
        send["request"] = new JsonData();
        send["request"]["user_id"] = "88888";
        send["request"]["query"] = mysay;
        send["request"]["query_info"] = new JsonData();
        send["request"]["query_info"]["type"] = "TEXT";
        JsonData bot_session = new JsonData();
        bot_session["session_id"] = "";
        send["bot_session"] = JsonMapper.ToJson(bot_session);
        string sendStr = JsonMapper.ToJson(send);
        byte[] buffer = Encoding.UTF8.GetBytes(sendStr);
        request.ContentLength = buffer.Length;
        request.GetRequestStream().Write(buffer, 0, buffer.Length);
        HttpWebResponse response = (HttpWebResponse)request.GetResponse();
        StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.UTF8);
        string result = reader.ReadToEnd();
        JsonDecode(result);
    }

    /// 

    /// 对NLP的回复进行Json解析
    /// 
    /// 
    /// 
    public List<string> JsonDecode(string js)
    {
        List<string> Says = new List<string>();
        var json = SimpleJson.SimpleJson.DeserializeObject<SimpleJson.JsonObject>(js);
        if (json.ContainsKey("result"))
        {
            var result = (SimpleJson.JsonObject)json["result"];
            if (result.ContainsKey("response_list"))
            {
                var resArray = (SimpleJson.JsonArray)result["response_list"];
                var res = (SimpleJson.JsonObject)resArray[0];
                if (res.ContainsKey("action_list"))
                {
                    var actArray = (SimpleJson.JsonArray)res["action_list"];
                    var act = (SimpleJson.JsonObject)actArray[0];
                    if (act.ContainsKey("say"))
                    {
                        var say = (string)act["say"];
                        chat.AddChatMessage(say,ChatUI.enumChatMessageType.MessageLeft);
                        Says.Add(say);
                    }

                }

            }
        }
        return Says;
    }

    /// 

    /// 获取accessToken请求令牌
    /// 
    /// 
    IEnumerator _GetAccessToken()
    {
        var uri =
            string.Format(
                "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id={0}&client_secret={1}",
                api_key, secret_key);
        UnityWebRequest unityWebRequest = UnityWebRequest.Get(uri);
        yield return unityWebRequest.SendWebRequest();
        if (unityWebRequest.isDone)
        {
            Match match = Regex.Match(unityWebRequest.downloadHandler.text, @"access_token.:.(.*?).,");
            if (match.Success)
            {
                Debug.Log("Token已经匹配");
                accessToken = match.Groups[1].ToString();
            }
            else
            {
                Debug.Log("验证错误,获取AccessToken失败!!!");
            }
        }
    }

}

演示效果如下：