/// <summary>
///调用第三方语义排序API，对于语义进行排序
/// </summary>
/// <param name="_SemanticsDictionary">传递语义槽</param>
/// <returns>排序结果</returns>
public static void GetAIAnswers(SemanticsSlot _SemanticsSlot, string type)
{
try
{
string sessionId = _SemanticsSlot.SessionId;
string deviceId = _SemanticsSlot.DeviceId;
string questions = _SemanticsSlot.Questions;
string sourceid = _SemanticsSlot.SourceId;
log.Info($"{questions} 执行方式：{type} 返回次数：{_SemanticsSlot.Answertimes} 语义槽数量：{_SemanticsSlot.NlpAnswers.Count} ");
//过滤掉所有空
var Answers = _SemanticsSlot.NlpAnswers.OrderBy(t => t.Level);//.Where(t => !string.IsNullOrEmpty(t.Answers))
if (Answers.Count() > 0)
{
foreach (var item in Answers)
{
string code = item.Code;
string answers = item.Answers;
//优先返回基础nlp
if (code == "BaseNlp")
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2011", answers, BaiduSDK.Tts(answers));// 2011播放url内容，播放完自动唤醒
break;
}
//返回智能家居nlp,不带的设备无法识别@
else if (code == "SmartHomeNlp" && !answers.Contains("2014@"))
{
if (answers.Split('@').Length == 2)
{
string action = answers.Split('@')[0];
string req = answers.Split('@')[1];
NlpControler.BackAnswers(sessionId, deviceId, questions, action, answers, "");//根据@中的action返回
break;
}
else
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2020", answers, "");//2020播放响应效果音可持续交流
break;
}
}
else
{
//设备无法识别的时候，优先返回音响自带的结果（不为空的情况下）
var item2 = _SemanticsSlot.NlpAnswers.Where(t => t.Code == "SoundNlp").FirstOrDefault();
if (sourceid != "mengdou")
{
///执行百度自己请求
NlpControler.BackAnswers(sessionId, deviceId, questions, "2010", "无法识别您说的意思", "");
break;
}
else
if (item2 != null)
{
if (answers.Contains("service\":\"musicX") ||
answers.Contains("service\":\"news") ||
answers.Contains("service\":\"story") ||
answers.Contains("service\":\"joke"))
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2025", item2.Answers, "");//2025主机不返回，超时，播放错误音，其实主机已经在播放音乐
break;
}
else
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2011", item2.Answers, BaiduSDK.Tts(item2.Answers));// 2011播放url内容，播放完自动唤醒
break;
}
}
else
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2014", "无法识别您说的意思", "");
//NlpControler.BackAnswers(sessionId, deviceId, questions, "2014", "无法识别您说的意思", BaiduSDK.mp3Fail);
break;
}
}
}
}
else
{
if (sourceid != "mengdou")
{
///执行百度自己请求
NlpControler.BackAnswers(sessionId, deviceId, questions, "2010", "无法识别您说的意思", "");
}
else
{
NlpControler.BackAnswers(sessionId, deviceId, questions, "2014", "无法识别您说的意思", "");
}
//NlpControler.BackAnswers(sessionId, deviceId, questions, "2014", "无法识别您说的意思", BaiduSDK.mp3Fail);
}
}
catch (Exception ex)
{
log.Info($"{_SemanticsSlot.Questions} AI处理异常: {ex.Message}");
}
}
/// <summary>
/// 不用请求任何Nlu服务器，直接丢给AIControl函数Setanswer处理，返回抛给音箱
/// </summary>
/// <param name="body"></param>
/// <returns></returns>
public static void Setanswer(SoundBodyRequest body)
{
string answers = "不用请求任何Nlu服务器，直接丢给AIControl函数Setanswer处理，返回抛给音箱";
NlpControler.BackAnswers(body.sessionId, body.deviceId, body.questions, "2011", answers, BaiduSDK.Tts(answers));
}
