public Chatbot()
{
LM = new LongMemory();
SM = new ShortMemory();
try {
SerializeSavor.LoadChatDataList(LM.groundTruth, "LM.txt");
SerializeSavor.LoadChatDataList(SM.memory, "SM.txt");
SerializeSavor.LoadChatDataList(LM.knowledge, "KL.txt");
} catch (Exception e) {
SerializeSavor.SaveChatDataList(LM.groundTruth, "LM.txt");
SerializeSavor.SaveChatDataList(SM.memory, "SM.txt");
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
MessageBox.Show(e.Message);
MessageBox.Show("没有创建记忆文件，已自动创建");
}
}
public string BotInput(string input)
{
if (input.StartsWith("<HELP>"))
{
return(HELP);
}
if (input.StartsWith("<TEA>"))
{
string content = input.Substring(5, input.Length - 5);
content = content.Trim();
if (content == "")
{
return("¿");
}
return(Teach(content));
}
if (input.StartsWith("<READ>"))
{
string toOutput = "";
toOutput += "Ground Truth:" + Environment.NewLine;
foreach (var i in LM.groundTruth)
{
toOutput += i.time + "\t" + i.text + Environment.NewLine;
}
toOutput += "Knowledge:" + Environment.NewLine;
foreach (var i in LM.knowledge)
{
toOutput += i.time + "\t" + i.text + Environment.NewLine;
}
return(toOutput);
}
if (input.StartsWith("<DEL>"))
{
string content = input.Substring(5, input.Length - 5);
content = content.Trim();
ChatData cor = SingletonClassify(LM.groundTruth, content, gram);
ChatData corKL = SingletonClassify(LM.knowledge, content, gram);
double simCOR = (cor == null ? -114514 : Similarity(cor.text, content, gram));
double simCORKL = (corKL == null ? -114514 : Similarity(corKL.text, content, gram));
if (simCORKL > simCOR)
{
cor = corKL;
}
if (cor != null && !DELCorrectness)
{
DELCorrectness = true;
DELCorrectItem = content;
return("请再次输入相同的指令以确认你要删除的知识。" + Environment.NewLine
+ "要取消删除，输入<DEL>+任意不同指令。" + Environment.NewLine
+ "要删除的知识是：" + cor.text + Environment.NewLine);
}
else if (cor != null && DELCorrectness)
{
DELCorrectness = false;
if (DELCorrectItem == content)
{
DELCorrectItem = "";
cor.text = "<DEL>" + cor.text;
SerializeSavor.SaveChatDataList(LM.groundTruth, "LM.txt");
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
return("删除完成。" + Environment.NewLine + "删除的知识是：" + cor.text + Environment.NewLine);
}
else
{
DELCorrectItem = "";
return("已取消删除。");
}
}
else
{
return("没能找到要删除的知识" + Environment.NewLine); //防止知识库是空的
}
}
if (input.StartsWith("<CHAT>"))
{
string content = input.Substring(6, input.Length - 6);
content = content.Trim();
return(Chat(content));
}
if (input.StartsWith("<CLEAR>"))
{
SM.memory.Clear();
return("短时记忆清空完成" + Environment.NewLine);
}
if (input.StartsWith("<MEM>"))
{
return(SM.outputMemory());
}
if (input.StartsWith("<ADDMEM>"))
{
string content = input.Substring(8, input.Length - 8);
content = content.Trim();
bool res = SM.AddMemory(content);
if (res)
{
return("已加入缓存。加入的内容为：" + Environment.NewLine + content + Environment.NewLine + "<NEXT>");
}
else
{
return("内容为：" + content + Environment.NewLine + "的指令已被写入缓存，请勿重复添加。");
}
}
return("¿");
}
private string Teach(string content)
{
if (content.Contains("<Q>") && content.Contains("<A>")) //同时含有<Q>和<A>
//<TEA><Q>f**k you<A>f**k you leather man
{
string Q = GetToken(content, "<Q>");
string A = GetToken(content, "<A>");
string text = "<Q>" + Q + "<A>" + A;
ChatData x = new ChatData(text, DateTime.Now);
ChatData nearest = SingletonClassify(LM.knowledge, x.text, gram);
if (nearest == null || Similarity(x.text, nearest.text, gram) < nearEPS)
{
LM.knowledge.Add(x);
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
return("Q: " + Q + Environment.NewLine + "A:" + A + Environment.NewLine + "学习完成");
}
else
{
double sim = Similarity(x.text, nearest.text, gram);
if (sim > INF - 1)
{
return("知识库中已经有相同的知识！");
}
else
{
if (content.Contains("<EXACT>"))
{
LM.knowledge.Add(x);
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
return("Q: " + Q + Environment.NewLine + "A:" + A + Environment.NewLine + "学习完成" + Environment.NewLine);
}
else
{
return("知识库中已有相似知识。请在<TEA>后追加<EXACT>指令。" + Environment.NewLine
+ "相似知识为：" + nearest.text + Environment.NewLine);
}
}
}
}
else if (content.Contains("<G>"))
{
string G = GetToken(content, "<G>");
string text = G;
ChatData x = new ChatData(text, DateTime.Now);
ChatData nearest = SingletonClassify(LM.groundTruth, x.text, gram);
if (nearest == null || Similarity(x.text, nearest.text, gram) < nearEPS)
{
LM.groundTruth.Add(x);
SerializeSavor.SaveChatDataList(LM.groundTruth, "LM.txt");
return(G + Environment.NewLine + "学习完成");
}
else
{
double sim = Similarity(x.text, nearest.text, gram);
if (sim > INF - 1)
{
return("知识库中已经有相同的知识！");
}
else
{
if (content.Contains("<EXACT>"))
{
LM.groundTruth.Add(x);
SerializeSavor.SaveChatDataList(LM.groundTruth, "LM.txt");
return(G + Environment.NewLine + "学习完成");
}
else
{
return("知识库中已有相似知识。请在<TEA>后追加<EXACT>指令。" + Environment.NewLine
+ "相似知识为：" + nearest.text + Environment.NewLine);
}
}
}
}
else if (content.Contains("<A>") && content.Contains("<Q1>") && content.Contains("<Q2>"))
{
string Q1 = GetToken(content, "<Q1>");
string Q2 = GetToken(content, "<Q2>");
string A = GetToken(content, "<A>");
string text = "<Q1>" + Q1 + "<Q2>" + Q2 + "<A>" + A;
ChatData x = new ChatData(text, DateTime.Now);
ChatData nearest = SingletonClassify(LM.knowledge, x.text, gram);
if (nearest == null || Similarity(x.text, nearest.text, gram) < nearEPS)
{
LM.knowledge.Add(x);
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
return("Q1: " + Q1 + Environment.NewLine
+ "Q2" + Q2 + Environment.NewLine
+ "A:" + A + Environment.NewLine + "学习完成");
}
else
{
double sim = Similarity(x.text, nearest.text, gram);
if (sim > INF - 1)
{
return("知识库中已经有相同的知识！");
}
else
{
if (content.Contains("<EXACT>"))
{
LM.knowledge.Add(x);
SerializeSavor.SaveChatDataList(LM.knowledge, "KL.txt");
return("Q1: " + Q1 + Environment.NewLine
+ "Q2" + Q2 + Environment.NewLine
+ "A:" + A + Environment.NewLine + "学习完成");
}
else
{
return("知识库中已有相似知识。请在<TEA>后追加<EXACT>指令。" + Environment.NewLine
+ "相似知识为：" + nearest.text + Environment.NewLine);
}
}
}
}
else
{
return("格式错误。");
}
}