v0.1.4版本 #2

Merged
PeterZhong merged 70 commits from host into master 2025-06-15 14:42:58 +00:00
13 changed files with 595 additions and 15 deletions
Showing only changes of commit b6397e5db3 - Show all commits

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@ -4,10 +4,14 @@ namespace LinkToolAddin.client.prompt;
public class DynamicPrompt
{
public static string GetPrompt(string name,Dictionary<string,object> args)
public static string GetPrompt(string name,Dictionary<string,object> args = null)
{
PromptTemplates promptTemplate = new PromptTemplates();
string template = promptTemplate.GetPrompt(name);
if (args == null)
{
return template;
}
foreach (KeyValuePair<string,object> pair in args)
{
string replaceKey = "{{"+pair.Key+"}}";
@ -15,4 +19,11 @@ public class DynamicPrompt
}
return template;
}
public static Dictionary<string, string> GetAllPrompts()
{
PromptTemplates promptTemplate = new PromptTemplates();
Dictionary<string, string> template = promptTemplate.GetPromptsDict();
return template;
}
}

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@ -17,4 +17,9 @@ public class PromptTemplates
{
return prompts[name];
}
public Dictionary<string, string> GetPromptsDict()
{
return prompts;
}
}

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@ -1,6 +1,11 @@
using System.Collections.Generic;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Threading.Tasks;
using ArcGIS.Core.Data;
using ArcGIS.Core.Data.Raster;
using ArcGIS.Core.Geometry;
using ArcGIS.Desktop.Framework.Threading.Tasks;
using LinkToolAddin.server;
using ModelContextProtocol.Server;
using Newtonsoft.Json;
@ -9,7 +14,7 @@ namespace LinkToolAddin.client.tool;
public class ArcGisPro
{
[McpServerTool, Description("ArcGIS Pro Tool")]
[McpServerTool, Description("可以通过调用ArcGIS Pro的地理处理工具实现一些数据处理功能。")]
public static async Task<JsonRpcResultEntity> ArcGisProTool(string toolName, List<string> toolParams)
{
// Call the ArcGIS Pro method and get the result
@ -18,4 +23,55 @@ public class ArcGisPro
// Serialize the result back to a JSON string
return result;
}
[McpServerTool, Description("查看指定数据的属性,包括坐标系、范围、数据类型等")]
public static async Task<JsonRpcResultEntity> DataProperty(string datasetPath,string dataName)
{
using Geodatabase gdb = new Geodatabase(new FileGeodatabaseConnectionPath(new Uri(datasetPath)));
FeatureClass featureClass = gdb.OpenDataset<FeatureClass>(dataName);
FeatureClassDefinition featureClassDefinition = featureClass.GetDefinition();
JsonRpcResultEntity result = new JsonRpcSuccessEntity()
{
Id = 1,
Result = JsonConvert.SerializeObject(featureClassDefinition)
};
return result;
}
[McpServerTool, Description("列出gdb数据库中的所有数据名称")]
public static async Task<JsonRpcResultEntity> ListData(string gdbPath)
{
var datasets = new List<string>();
await QueuedTask.Run(() =>
{
using (Geodatabase gdb = new Geodatabase(new FileGeodatabaseConnectionPath(new Uri(gdbPath))))
{
// 获取所有要素类Feature Classes
var featureClasses = gdb.GetDefinitions<FeatureClassDefinition>();
foreach (var fc in featureClasses)
datasets.Add($"要素类: {fc.GetName()}");
// 获取所有表格Tables
var tables = gdb.GetDefinitions<TableDefinition>();
foreach (var table in tables)
datasets.Add($"表格: {table.GetName()}");
// 获取所有要素数据集Feature Datasets
var featureDatasets = gdb.GetDefinitions<FeatureDatasetDefinition>();
foreach (var fd in featureDatasets)
datasets.Add($"要素数据集: {fd.GetName()}");
// 获取所有栅格数据集Raster Datasets
var rasterDatasets = gdb.GetDefinitions<RasterDatasetDefinition>();
foreach (var raster in rasterDatasets)
datasets.Add($"栅格数据: {raster.GetName()}");
}
});
JsonRpcResultEntity result = new JsonRpcSuccessEntity()
{
Id = 1,
Result = JsonConvert.SerializeObject(datasets)
};
return result;
}
}

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@ -1,8 +1,13 @@
using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
using LinkToolAddin.host.llm.entity;
using LinkToolAddin.host.llm.entity.stream;
using Newtonsoft.Json;
namespace LinkToolAddin.common;
@ -18,4 +23,104 @@ public class HttpRequest
var responseBody = await response.Content.ReadAsStringAsync();
return responseBody;
}
public static async IAsyncEnumerable<string> SendStreamPostRequestAsync(string url, string jsonContent, string apiKey)
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
// 发送 POST 请求并获取响应流
var response = await client.PostAsync(url,new StringContent(jsonContent, Encoding.UTF8, "application/json"));
// 验证响应状态
response.EnsureSuccessStatusCode();
// 获取响应流
using var stream = await response.Content.ReadAsStreamAsync();
using var reader = new StreamReader(stream);
// 流式读取
string line;
while ((line = await reader.ReadLineAsync()) != null)
{
string content = ProcessPartialResponse(line);
yield return content;
}
}
private static string ProcessPartialResponse(string rawData)
{
try
{
var lines = rawData.Split(new[] { "data: " }, StringSplitOptions.RemoveEmptyEntries);
foreach (var line in lines)
{
var trimmedLine = line.Trim();
if (!string.IsNullOrEmpty(trimmedLine))
{
var result = JsonConvert.DeserializeObject<LlmStreamChat>(trimmedLine);
return result.Choices[0].Delta.Content;
}
}
}
catch { /* 处理解析异常 */ }
return null;
}
public static async IAsyncEnumerable<string> PostWithStreamingResponseAsync(
string url,
string body,
string apiKey,
string contentType = "application/json",
Action<HttpRequestMessage> configureHeaders = null)
{
using (var client = new HttpClient())
{
// 设置超时时间为30分钟
client.Timeout = TimeSpan.FromMinutes(30);
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
using (var request = new HttpRequestMessage(HttpMethod.Post, url))
{
// 设置请求头和Body
Console.WriteLine("开始请求...");
configureHeaders?.Invoke(request);
request.Content = new StringContent(body, Encoding.UTF8, contentType);
// 发送请求并立即开始读取响应流
using (var response = await client.SendAsync(
request,
HttpCompletionOption.ResponseHeadersRead))
{
response.EnsureSuccessStatusCode();
// 获取响应流
using (var stream = await response.Content.ReadAsStreamAsync())
using (var reader = new StreamReader(stream))
{
string line;
StringBuilder incompleteJsonBuffer = new StringBuilder();
// 流式读取并输出到控制台
while ((line = await reader.ReadLineAsync()) != null)
{
foreach (var chunk in line.Split(new[] { "data: " }, StringSplitOptions.RemoveEmptyEntries))
{
LlmStreamChat dataObj = null;
try
{
dataObj = JsonConvert.DeserializeObject<LlmStreamChat>(chunk);
}catch{/*process exception*/}
if (dataObj is not null)
{
yield return dataObj.Choices[0].Delta.Content;
}
}
}
}
}
}
}
}
}

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@ -11,6 +11,7 @@ using System.Threading.Tasks;
using System.Xml;
using System.Xml.Linq;
using ArcGIS.Desktop.Framework.Dialogs;
using ArcGIS.Desktop.Internal.Mapping.Locate;
using LinkToolAddin.client;
using LinkToolAddin.client.prompt;
using LinkToolAddin.host.llm;
@ -68,6 +69,7 @@ public class Gateway
TopP = 1,
MaxTokens = 1000,
});
long timestamp = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
log.Info(reponse);
messages.Add(new Message
{
@ -95,7 +97,8 @@ public class Gateway
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = toolResponse.IsError ? "fail" : "success",
content = toolResponse.Content.ToString()
content = JsonConvert.SerializeObject(toolResponse),
id = timestamp.ToString()
};
messages.Add(new Message
{
@ -119,7 +122,8 @@ public class Gateway
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = toolResponse.IsError ? "fail" : "success",
content = toolResponse.Content.ToString()
content = JsonConvert.SerializeObject(toolResponse),
id = timestamp.ToString()
};
messages.Add(new Message
{
@ -204,7 +208,8 @@ public class Gateway
{
content = reponse,
role = "assistant",
type = MessageType.CHAT_MESSAGE
type = MessageType.CHAT_MESSAGE,
id = timestamp.ToString()
};
callback?.Invoke(chatMessageListItem);
}
@ -215,6 +220,234 @@ public class Gateway
}
}
public static async void SendMessageStream(string message, string model, string gdbPath, Action<MessageListItem> callback)
{
Llm bailian = new Bailian
{
api_key = "sk-db177155677e438f832860e7f4da6afc"
};
List<Message> messages = new List<Message>();
string toolInfos = await GetToolInfos(new McpServerList());
log.Info(SystemPrompt.SysPrompt(gdbPath, toolInfos));
messages.Add(new Message
{
Role = "system",
Content = SystemPrompt.SysPrompt(gdbPath, toolInfos)
});
messages.Add(new Message
{
Role = "user",
Content = message
});
bool goOn = true;
string toolPattern = "^<tool_use>[\\s\\S]*?<\\/tool_use>$";
string promptPattern = "^<prompt>[\\s\\S]*?<\\/prompt>$";
McpServerList mcpServerList = new McpServerList();
while (goOn)
{
LlmJsonContent jsonContent = new LlmJsonContent()
{
Model = model,
Messages = messages,
Temperature = 0.7,
TopP = 1,
MaxTokens = 1000,
};
long timestamp = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
string messageContent = "";
await foreach(var chunk in bailian.SendChatStreamAsync(jsonContent))
{
if (chunk == "[DONE]")
{
goOn = false;
}else if (chunk.StartsWith("<tool_use>"))
{
if (Regex.IsMatch(chunk, toolPattern))
{
//返回工具卡片
XElement toolUse = XElement.Parse(chunk);
string fullToolName = toolUse.Element("name")?.Value;
string toolArgs = toolUse.Element("arguments")?.Value;
Dictionary<string, object> toolParams = JsonConvert.DeserializeObject<Dictionary<string, object>>(toolArgs);
string serverName = fullToolName.Contains(":") ? fullToolName.Split(':')[0] : fullToolName;
string toolName = fullToolName.Contains(":") ? fullToolName.Split(':')[1] : fullToolName;
McpServer mcpServer = mcpServerList.GetServer(serverName);
if (mcpServer is SseMcpServer)
{
SseMcpServer sseMcpServer = mcpServer as SseMcpServer;
SseMcpClient client = new SseMcpClient(sseMcpServer.BaseUrl);
CallToolResponse toolResponse = await client.CallToolAsync(toolName,toolParams);
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = toolName,
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = toolResponse.IsError ? "fail" : "success",
content = JsonConvert.SerializeObject(toolResponse),
id = timestamp.ToString()
};
messages.Add(new Message
{
Role = "user",
Content = toolResponse.IsError ? SystemPrompt.ErrorPromptTemplate : SystemPrompt.ContinuePromptTemplate
});
messages.Add(new Message
{
Role = "user",
Content = JsonConvert.SerializeObject(toolResponse)
});
callback?.Invoke(toolMessageItem);
}else if (mcpServer is StdioMcpServer)
{
StdioMcpServer stdioMcpServer = mcpServer as StdioMcpServer;
StdioMcpClient client = new StdioMcpClient(stdioMcpServer.Command, stdioMcpServer.Args);
CallToolResponse toolResponse = await client.CallToolAsync(toolName,toolParams);
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = toolName,
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = toolResponse.IsError ? "fail" : "success",
content = JsonConvert.SerializeObject(toolResponse),
id = timestamp.ToString()
};
messages.Add(new Message
{
Role = "user",
Content = toolResponse.IsError ? SystemPrompt.ErrorPromptTemplate : SystemPrompt.ContinuePromptTemplate
});
messages.Add(new Message
{
Role = "user",
Content = JsonConvert.SerializeObject(toolResponse)
});
callback?.Invoke(toolMessageItem);
}else if (mcpServer is InnerMcpServer)
{
Type type = Type.GetType("LinkToolAddin.client.tool."+serverName);
MethodInfo method = type.GetMethod(toolName,BindingFlags.Public | BindingFlags.Static);
var task = method.Invoke(null, toolParams.Values.ToArray()) as Task<JsonRpcResultEntity>;
JsonRpcResultEntity innerResult = await task;
if (innerResult is JsonRpcErrorEntity)
{
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = toolName,
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = "fail",
content = JsonConvert.SerializeObject(innerResult),
id = timestamp.ToString()
};
messages.Add(new Message
{
Role = "user",
Content = SystemPrompt.ErrorPromptTemplate
});
messages.Add(new Message
{
Role = "user",
Content = JsonConvert.SerializeObject(innerResult)
});
callback?.Invoke(toolMessageItem);
}else if (innerResult is JsonRpcSuccessEntity)
{
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = toolName,
toolParams = toolParams,
type = MessageType.TOOL_MESSAGE,
status = "success",
content = JsonConvert.SerializeObject(innerResult),
id = timestamp.ToString()
};
messages.Add(new Message
{
Role = "user",
Content = SystemPrompt.ContinuePromptTemplate
});
messages.Add(new Message
{
Role = "user",
Content = JsonConvert.SerializeObject(innerResult)
});
callback?.Invoke(toolMessageItem);
}
}
}
else
{
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = "",
toolParams = new Dictionary<string, object>(),
type = MessageType.TOOL_MESSAGE,
status = "loading",
content = "正在生成工具调用参数",
id = timestamp.ToString()
};
callback?.Invoke(toolMessageItem);
continue;
}
}else if (chunk.StartsWith("<prompt>"))
{
if (Regex.IsMatch(chunk, promptPattern))
{
XElement promptUse = XElement.Parse(chunk);
string promptKey = promptUse.Element("name")?.Value;
string promptContent = DynamicPrompt.GetPrompt(promptKey,null);
messages.Add(new Message
{
Role = "user",
Content = JsonConvert.SerializeObject(promptContent)
});
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = "调用提示词",
toolParams = null,
type = MessageType.TOOL_MESSAGE,
status = "success",
content = promptKey,
id = timestamp.ToString()
};
callback?.Invoke(toolMessageItem);
}
else
{
MessageListItem toolMessageItem = new ToolMessageItem
{
toolName = "调用提示词",
toolParams = null,
type = MessageType.TOOL_MESSAGE,
status = "loading",
content = "正在调用提示词",
id = timestamp.ToString()
};
callback?.Invoke(toolMessageItem);
}
}
else
{
//普通流式消息卡片
MessageListItem chatMessageListItem = new ChatMessageItem()
{
content = chunk,
role = "assistant",
type = MessageType.CHAT_MESSAGE,
id = timestamp.ToString()
};
messageContent = chunk;
callback?.Invoke(chatMessageListItem);
}
}
messages.Add(new Message
{
Role = "assistant",
Content = messageContent
});
}
}
private static async Task<string> GetToolInfos(McpServerList mcpServerList)
{
int loop = 0;
@ -298,6 +531,21 @@ public class Gateway
}
}
}
Dictionary<string, string> prompts = DynamicPrompt.GetAllPrompts();
foreach (KeyValuePair<string, string> prompt in prompts)
{
McpPromptDefinition promptDefinition = new McpPromptDefinition
{
Prompt = new LinkToolAddin.host.mcp.Prompt
{
Name = prompt.Key
}
};
XNode node = JsonConvert.DeserializeXNode(JsonConvert.SerializeObject(promptDefinition));
toolInfos.AppendLine(node.ToString());
toolInfos.AppendLine();
}
return toolInfos.ToString();
}

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@ -21,7 +21,7 @@ public class McpServerList
{"Content-Type","application/json"}
}
});
servers.Add("arcgis", new InnerMcpServer
servers.Add("ArcGisPro", new InnerMcpServer
{
Name = "ArcGisPro",
Type = "inner",

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@ -1,3 +1,4 @@
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Net.Http.Headers;
@ -17,9 +18,18 @@ public class Bailian : Llm
public string max_tokens { get; set; }
public string app_id { get; set; }
public string api_key { get; set; }
public IAsyncEnumerable<string> SendChatStreamAsync(string message)
public async IAsyncEnumerable<string> SendChatStreamAsync(LlmJsonContent jsonContent)
{
throw new System.NotImplementedException();
jsonContent.Stream = true;
StringBuilder builder = new StringBuilder();
await foreach (var chunk in HttpRequest.PostWithStreamingResponseAsync(
"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions",
JsonConvert.SerializeObject(jsonContent),
api_key))
{
builder.Append(chunk);
yield return builder.ToString();
}
}
public IAsyncEnumerable<string> SendApplicationStreamAsync(string message)

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@ -11,7 +11,7 @@ public interface Llm
public string top_p { get; set; }
public string max_tokens { get; set; }
public IAsyncEnumerable<string> SendChatStreamAsync(string message);
public IAsyncEnumerable<string> SendChatStreamAsync(LlmJsonContent jsonContent);
public IAsyncEnumerable<string> SendApplicationStreamAsync(string message);
public Task<string> SendChatAsync(LlmJsonContent jsonContent);
public Task<string> SendApplicationAsync(CommonInput commonInput);

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@ -0,0 +1,54 @@
namespace LinkToolAddin.host.llm.entity.stream
{
using System;
using System.Collections.Generic;
using System.Globalization;
using Newtonsoft.Json;
using Newtonsoft.Json.Converters;
public partial class LlmStreamChat
{
[JsonProperty("choices")]
public Choice[] Choices { get; set; }
[JsonProperty("object")]
public string Object { get; set; }
[JsonProperty("usage")]
public object Usage { get; set; }
[JsonProperty("created")]
public long Created { get; set; }
[JsonProperty("system_fingerprint")]
public object SystemFingerprint { get; set; }
[JsonProperty("model")]
public string Model { get; set; }
[JsonProperty("id")]
public string Id { get; set; }
}
public partial class Choice
{
[JsonProperty("finish_reason")]
public string FinishReason { get; set; }
[JsonProperty("delta")]
public Delta Delta { get; set; }
[JsonProperty("index")]
public long Index { get; set; }
[JsonProperty("logprobs")]
public object Logprobs { get; set; }
}
public partial class Delta
{
[JsonProperty("content")]
public string Content { get; set; }
}
}

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@ -0,0 +1,27 @@
namespace LinkToolAddin.host.mcp
{
using System;
using System.Collections.Generic;
using System.Globalization;
using Newtonsoft.Json;
using Newtonsoft.Json.Converters;
public partial class McpPromptDefinition
{
[JsonProperty("prompt")]
public Prompt Prompt { get; set; }
}
public partial class Prompt
{
[JsonProperty("name")]
public string Name { get; set; }
[JsonProperty("description")]
public string Description { get; set; }
[JsonProperty("arguments")]
public string Arguments { get; set; }
}
}

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@ -2,9 +2,9 @@
public class SystemPrompt
{
public static string SysPromptTemplate = "现在你是一个精通ArcGIS Pro的专家请以此身份回答用户的问题。你有以下工具可以调用{{toolInfos}},用户的数据库路径是{{gdbPath}}。MCP工具调用的格式要求示例<tool_use>\n <name>search</name>\n <arguments>{\\\"query\\\": \\\"上海 人口\\\"}</arguments>\n</tool_use>";
public static string SysPromptTemplate = "现在你是一个精通ArcGIS Pro的专家请以此身份回答用户的问题。你有以下工具可以调用{{toolInfos}},用户的数据库路径是{{gdbPath}}。MCP工具调用的格式要求示例,必须用<tool_use>标签表示工具调用<tool_use>\n <name>search</name>\n <arguments>{\\\"query\\\": \\\"上海 人口\\\"}</arguments>\n</tool_use>。你每次调用请求都必须放在单独的一条消息中不附带任何的文字说明不带markdown格式。如需文字说明请另外放在一次单独的消息中。\n当你认为已解决用户最初提出的问题时请输出单独的一条消息内容为[DONE],不附带任何其它文字说明,程序识别到后会退出循环。\n此外你还可以通过<prompt></prompt>调用用户提示词,从而使你更好地理解和完成用户的任务。";
public static string ContinuePromptTemplate = "上一个工具执行的结果如下,请据此继续执行";
public static string ContinuePromptTemplate = "工具执行的结果如下,根据以上结果决定继续执行工具或是根据结果回答问题。如果不再需要额外说明和额外的操作,请回答单独的一条内容为[DONE]的消息。工具已经成功调用,请勿重复执行上一个工具";
public static string ErrorPromptTemplate = "执行上一个工具的时候出现以下错误,请根据报错信息重试";

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@ -21,6 +21,7 @@
<RowDefinition Height="24"/>
<RowDefinition Height="24"/>
<RowDefinition Height="240"/>
<RowDefinition Height="24"/>
</Grid.RowDefinitions>
<Button Grid.Row="0" Content="Test Workflow" Name="TestServer" Click="TestWorkflow_OnClick"></Button>
<Grid Grid.Row="1">
@ -33,5 +34,6 @@
<Button Grid.Row="0" Grid.Column="1" Content="测试" Name="PromptTestButton" Click="PromptTestButton_OnClick"></Button>
</Grid>
<TextBox Grid.Row="2" ToolTip="大模型回复" Name="ReplyTextBox" TextWrapping="Wrap"></TextBox>
<Button Grid.Row="3" Content="Test Stream" Name="TestStream" Click="TestStream_OnClick"></Button>
</Grid>
</UserControl>

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@ -1,5 +1,6 @@
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Windows;
using System.Windows.Controls;
using LinkToolAddin.client;
@ -27,6 +28,9 @@ namespace LinkToolAddin.ui.dockpane
{
private static ILog log = LogManager.GetLogger(typeof(TestDockpaneView));
private List<string> idList = new List<string>();
private Dictionary<string,MessageListItem> messageDict = new Dictionary<string,MessageListItem>();
public TestDockpaneView()
{
InitLogger();
@ -140,6 +144,35 @@ namespace LinkToolAddin.ui.dockpane
log.Info(reponse);
}
private async void Request_Bailian_Stream_Test()
{
LlmJsonContent jsonContent = new LlmJsonContent()
{
Model = "qwen-max",
Messages = new List<Message>()
{
new Message()
{
Role = "user",
Content = "给我写一篇1000字的高考议论文"
}
},
Temperature = 0.7,
TopP = 1,
MaxTokens = 1000,
Stream = true
};
Llm bailian = new Bailian
{
api_key = "sk-db177155677e438f832860e7f4da6afc",
app_id = "6a77c5a68de64f469b79fcdcde9d5001",
};
await foreach (var chunk in bailian.SendChatStreamAsync(jsonContent))
{
log.Info(chunk);
}
}
private void TestButton_OnClick(object sender, RoutedEventArgs e)
{
throw new System.NotImplementedException();
@ -159,7 +192,31 @@ namespace LinkToolAddin.ui.dockpane
private void PromptTestButton_OnClick(object sender, RoutedEventArgs e)
{
string userPrompt = PromptTestTextBox.Text;
Gateway.SendMessage(userPrompt,"qwen-max","C:/Project/test.gdb",AddReply);
// Gateway.SendMessage(userPrompt,"qwen-max","C:/Project/test.gdb",AddReply);
Gateway.SendMessageStream(userPrompt,"qwen-max","D:\\01_Project\\20250305_LinkTool\\20250420_AiDemoProject\\20250420_AiDemoProject.gdb",AddReplyStream);
}
public void AddReplyStream(MessageListItem msg)
{
string id = msg.id;
if (idList.Contains(id))
{
messageDict[id] = msg;
}
else
{
idList.Add(id);
messageDict.Add(msg.id, msg);
}
ReplyTextBox.Clear();
StringBuilder builder = new StringBuilder();
foreach (KeyValuePair<string,MessageListItem> pair in messageDict)
{
MessageListItem msgItem = pair.Value;
builder.AppendLine(msgItem.content);
ReplyTextBox.Text = builder.ToString();
ReplyTextBox.ScrollToEnd();
}
}
public void AddReply(MessageListItem msg)
@ -169,5 +226,10 @@ namespace LinkToolAddin.ui.dockpane
string originContent = ReplyTextBox.Text;
ReplyTextBox.Text = originContent + content;
}
private void TestStream_OnClick(object sender, RoutedEventArgs e)
{
Request_Bailian_Stream_Test();
}
}
}