AI szopás

Nop.Plugin.Misc.AIPlugin/Nop.Plugin.Misc.FruitBankPlugin.csproj

@@ -27,10 +27,12 @@
     <PackageReference Include="Microsoft.AspNetCore.SignalR.Common" Version="9.0.10" />
     <PackageReference Include="Microsoft.AspNetCore.SignalR.Protocols.Json" Version="9.0.10" />
     <PackageReference Include="Microsoft.AspNetCore.SignalR.Protocols.NewtonsoftJson" Version="9.0.10" />
+    <PackageReference Include="Microsoft.EntityFrameworkCore" Version="9.0.10" />
     <!--<PackageReference Include="Microsoft.EntityFrameworkCore" Version="9.0.10" />-->
     <PackageReference Include="PdfPig" Version="0.1.11" />
     <PackageReference Include="PdfPig.Rendering.Skia" Version="0.1.11.5" />
     <PackageReference Include="SendGrid" Version="9.29.3" />
+    <PackageReference Include="System.Memory.Data" Version="9.0.10" />
     <PackageReference Include="Tesseract" Version="5.2.0" />
     <PackageReference Include="TesseractOCR" Version="5.5.1" />
   </ItemGroup>

Nop.Plugin.Misc.AIPlugin/Services/OpenAIApiService.cs

@@ -312,6 +312,34 @@ namespace Nop.Plugin.Misc.FruitBankPlugin.Services
             _assistantId ??= await FindOrCreateAssistantAsync("PDF and Image Analyzer Assistant");
         }
 
+        public async Task CleanupAllVectorStoresAsync()
+        {
+            Console.WriteLine("Cleaning up all existing vector stores...");
+            var listRequest = new HttpRequestMessage(HttpMethod.Get, $"{BaseUrl}/vector_stores");
+            listRequest.Headers.Add("OpenAI-Beta", "assistants=v2");
+    
+            var response = await _httpClient.SendAsync(listRequest);
+            if (response.IsSuccessStatusCode)
+            {
+                using var json = await JsonDocument.ParseAsync(await response.Content.ReadAsStreamAsync());
+                var vectorStores = json.RootElement.GetProperty("data");
+        
+                foreach (var vectorStore in vectorStores.EnumerateArray())
+                {
+                    var id = vectorStore.GetProperty("id").GetString();
+                    var name = vectorStore.TryGetProperty("name", out var nameElement) && nameElement.ValueKind != JsonValueKind.Null
+                        ? nameElement.GetString()
+                        : "Unnamed";
+            
+                    var deleteRequest = new HttpRequestMessage(HttpMethod.Delete, $"{BaseUrl}/vector_stores/{id}");
+                    deleteRequest.Headers.Add("OpenAI-Beta", "assistants=v2");
+                    await _httpClient.SendAsync(deleteRequest);
+            
+                    Console.WriteLine($"Deleted vector store: {name} ({id})");
+                }
+                Console.WriteLine("Vector store cleanup complete!");
+            }
+        }
         //TEMPORARY: Cleanup all assistants (for testing purposes) - A.
         public async Task CleanupAllAssistantsAsync()
         {
@@ -347,8 +375,8 @@ namespace Nop.Plugin.Misc.FruitBankPlugin.Services
 
         public async Task<string?> AnalyzePdfAsync(Stream file, string fileName, string userPrompt)
         {
-
             await EnsureAssistantAndVectorStoreAsync();
+
             var fileId = await UploadFileAsync(file, fileName);
             var isImage = IsImageFile(fileName);
 
@@ -640,7 +668,7 @@ namespace Nop.Plugin.Misc.FruitBankPlugin.Services
             var assistantBody = new
             {
                 name = name,
-                instructions = "You are an assistant that analyzes uploaded files. When you receive an image, analyze and describe what you see in the image in detail. When you receive a PDF or text document, use the file_search tool to find and analyze relevant information. Always respond directly to the user's question about the file they uploaded.",
+                instructions = "You are an assistant that analyzes uploaded files. When you receive an image, analyze and describe what you see in the image in detail. When you receive a PDF or text document, use the file_search tool to find and analyze relevant information. Always respond directly according to the user's instructions about the current file they upload.",
                 model = "gpt-4o",
                 tools = new[] { new { type = "file_search" } }
             };