Organize workspace: Frontend, Backend, and Tests in one repo

.vscode-server/data/User/History/b03096/26Rk.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // 1. Initialize Content with the Role in the constructor
+        var content = new Content(Role.User);
+        
+        // 2. Assign the parts using dynamic to bypass the IPart/Part conversion headache
+        content.Parts = (dynamic)new List<object>
+        {
+            new { text = prompt },
+            new { inline_data = new { mime_type = "image/png", data = base64Image } }
+        };
+
+        // 3. Create the request
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        // 4. Call the model
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/2oaa.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var content = new Content(Role.User);
+        
+        content.Parts = new List<IPart>
+        {
+            (IPart)new Part { Text = prompt },
+            (IPart)new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/4GWQ.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var content = new Content(Role.User);
+        
+        content.Parts = new List<IPart>
+        {
+            (IPart)new Part { Text = prompt },
+            (IPart)new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }

.vscode-server/data/User/History/b03096/77Sz.cs

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+using Seasoned.Backend.DTOs;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        // Placeholder logic to satisfy the return type
+        return new RecipeResponseDto
+        {
+            Title = "Mock Recipe",
+            Description = "This is a placeholder until Gemini is linked.",
+            Ingredients = new List<string> { "Ingredient A", "Ingredient B" },
+            Instructions = new List<string> { "Cook it", "Eat it" }
+        };
+    }
+}

.vscode-server/data/User/History/b03096/BJsp.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var request = new GenerateContentRequest(prompt);
+
+        await request.AddMedia(base64Image, "image/png");
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/DZeF.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var parts = new List<IPart>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        var content = new Content(parts);
+        content.Role = Role.User;
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/GoWQ.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var content = new Content(Role.User);
+        
+        content.Parts = new List<IPart>
+        {
+            (IPart)new Part { Text = prompt },
+            (IPart)new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/Goe4.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        // Use the explicit string for the model to bypass the "Model.Gemini25Flash" error
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        // Use a dynamic request structure which the library supports for newer models
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // This is a more robust way to send the request in the latest version
+        var response = await model.GenerateContent(new()
+        {
+            Contents = new List<Content>
+            {
+                new Content
+                {
+                    Parts = new List<Part>
+                    {
+                        new() { Text = prompt },
+                        new() { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+                    }
+                }
+            }
+        });
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/Gr2p.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Use the constructor that the error message suggested: Content(string role)
+        var content = new Content(Role.User);
+        
+        // Add parts manually to avoid the IPart/Part conversion headache
+        content.Parts = new List<Part>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        // Call the model with the explicit request
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/J28Z.cs

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+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new Mscc.GenerativeAI.GoogleAI(_apiKey);
+        
+        // Explicitly calling Gemini 2.5 Flash
+        var model = googleAI.GenerativeModel(Mscc.GenerativeAI.Model.Gemini25Flash);
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+
+        // Using full namespace paths for all request objects
+        var request = new Mscc.GenerativeAI.GenerateContentRequest
+        {
+            Contents = new List<Mscc.GenerativeAI.Content>
+            {
+                new Mscc.GenerativeAI.Content
+                {
+                    Role = Mscc.GenerativeAI.Role.User,
+                    Parts = new List<Mscc.GenerativeAI.Part>
+                    {
+                        new Mscc.GenerativeAI.TextPart { Text = prompt },
+                        new Mscc.GenerativeAI.InlineDataPart { MimeType = "image/png", Data = base64Image }
+                    }
+                }
+            }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Result",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/MbC8.cs

@@ -0,0 +1,47 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        // Using the 2026 model string
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var imageBytes = ms.ToArray();
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // 1. New GenerateContentRequest automatically handles the text
+        var request = new GenerateContentRequest(prompt);
+
+        // 2. AddMedia is now the standard for version 3.x+
+        // This handles the binary-to-base64 conversion internally!
+        request.AddMedia(imageBytes, "image/png");
+
+        // 3. Send the unified request
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/Smgs.cs

@@ -0,0 +1,49 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        // 1. Better Prompt: Tell Gemini exactly what the JSON should look like
+        var prompt = @"Extract the recipe from this image. 
+        Return a JSON object with exactly these fields:
+        {
+        ""title"": ""string"",
+        ""description"": ""string"",
+        ""ingredients"": [""string""],
+        ""instructions"": [""string""]
+        }";
+        
+        // 2. Set the Response MIME Type to application/json
+        var config = new GenerationConfig { ResponseMimeType = "application/json" };
+        var request = new GenerateContentRequest(prompt, config);
+        request.AddMedia(base64Image, "image/png");
+
+        var response = await model.GenerateContent(request);
+
+        // 3. Use System.Text.Json to turn that string back into our DTO
+        var options = new System.Text.Json.JsonSerializerOptions { PropertyNameCaseInsensitive = true };
+        var result = System.Text.Json.JsonSerializer.Deserialize<RecipeResponseDto>(response.Text, options);
+
+        return result ?? new RecipeResponseDto { Title = "Error parsing JSON" };
+    }
+}

.vscode-server/data/User/History/b03096/Tt28.cs

@@ -0,0 +1,50 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Use the library's internal GenerateContentRequest but manually build the Parts list
+        var request = new GenerateContentRequest();
+        var content = new Content(Role.User);
+
+        // This is the specific syntax to satisfy the IPart list requirement
+        content.Parts = new List<IPart>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        }.Cast<IPart>().ToList(); // This 'Cast' is the magic bullet
+
+        request.Contents = new List<Content> { content };
+
+        // Solve the ambiguity by picking the Request overload
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/WeNg.cs

@@ -0,0 +1,56 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        // Use a string for the model name to avoid CS0117
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Use the constructor that the library likes
+        var request = new GenerateContentRequest();
+        
+        // Manually build the structure in a way that avoids the List conversion crash
+        var content = new Content(Role.User);
+        
+        // We add the text part using the library's preferred text-first approach
+        request.Contents = new List<Content> { content };
+        
+        // Attempting the most universal "Add" method for media
+        // If your library doesn't have AddMedia, we use this direct property:
+        content.Parts = new List<IPart> 
+        { 
+            new TextPart(prompt),
+            new InlineDataPart("image/png", base64Image)
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/XLsh.cs

@@ -0,0 +1,47 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI; // Add this!
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        // Get the key from your user-secrets
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        // 1. Initialize Gemini
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel(Model.Gemini15Flash);
+
+        // 2. Convert the uploaded image to a format Gemini understands
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        // 3. The "Magic" Prompt
+        var prompt = "Extract the recipe from this image. Return ONLY a JSON object with: title (string), description (string), ingredients (array of strings), and instructions (array of strings).";
+        
+        // 4. Call Gemini
+        var response = await model.GenerateContent(new List<Part> {
+            new TextPart { Text = prompt },
+            new InlineDataPart { MimeType = "image/jpeg", Data = base64Image }
+        });
+
+        // 5. Parse the AI's response (simplified for now)
+        var aiText = response.Text;
+        
+        // For now, let's return the AI text in our DTO
+        return new RecipeResponseDto
+        {
+            Title = "AI Decoded Recipe",
+            Description = aiText, // The raw AI response
+            Ingredients = new List<string> { "Check description for details" }
+        };
+    }
+}

.vscode-server/data/User/History/b03096/ZxdS.cs

@@ -0,0 +1,53 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // 1. Create the parts using the IPart interface
+        var parts = new List<IPart>
+        {
+            new TextPart { Text = prompt },
+            new InlineDataPart { MimeType = "image/png", Data = base64Image }
+        };
+
+        // 2. Create Content using the constructor (to fix CS1729)
+        var content = new Content(parts, Role.User);
+
+        // 3. Create the Request
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        // 4. Call the model
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/dXqj.cs

@@ -0,0 +1,24 @@
+using Seasoned.Backend.DTOs;
+
+namespace Seasoned.Backend.Services;
+
+public interface IRecipeService
+{
+    Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image);
+}
+
+public class RecipeService : IRecipeService
+{
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        // For now, this is a "Mock" service. 
+        // Later, we will add the Gemini API call here.
+        return new RecipeResponseDto
+        {
+            Title = "AI Generated Recipe",
+            Description = "Successfully parsed from the image.",
+            Ingredients = new List<string> { "Example Ingredient 1", "Example Ingredient 2" },
+            Instructions = new List<string> { "Step 1: Mix everything", "Step 2: Cook it" }
+        };
+    }
+}

.vscode-server/data/User/History/b03096/dZC4.cs

@@ -0,0 +1,57 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // We create the request using 'dynamic' to skip the IPart/Part conversion errors
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content>
+            {
+                new Content
+                {
+                    Role = Role.User,
+                    // We cast the list to dynamic so the compiler doesn't check the 'Part' types
+                    Parts = (dynamic)new List<object>
+                    {
+                        new { text = prompt },
+                        new { inline_data = new { mime_type = "image/png", data = base64Image } }
+                    }
+                }
+            }
+        };
+
+        // Call the model with our request
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/dxLf.cs

@@ -0,0 +1,52 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Explicitly typed request object
+        GenerateContentRequest request = new()
+        {
+            Contents = new List<Content>
+            {
+                new Content
+                {
+                    Parts = new List<Part>
+                    {
+                        new() { Text = prompt },
+                        new() { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+                    }
+                }
+            }
+        };
+
+        var response = await model.GenerateContent((GenerateContentRequest)request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/entries.json

@@ -0,0 +1 @@
+{"version":1,"resource":"vscode-remote://ssh-remote%2B10.0.11.3/home/chloe/Seasoned.Backend/Services/RecipeService.cs","entries":[{"id":"dXqj.cs","timestamp":1772653693352},{"id":"77Sz.cs","timestamp":1772653852608},{"id":"XLsh.cs","timestamp":1772655862562},{"id":"vh2Y.cs","timestamp":1772657163089},{"id":"J28Z.cs","timestamp":1772657199088},{"id":"Goe4.cs","timestamp":1772657272583},{"id":"dxLf.cs","timestamp":1772657432564},{"id":"r1gL.cs","timestamp":1772657455148},{"id":"ZxdS.cs","timestamp":1772657509246},{"id":"sqBf.cs","timestamp":1772657543478},{"id":"DZeF.cs","timestamp":1772657595090},{"id":"Gr2p.cs","timestamp":1772657644181},{"id":"2oaa.cs","timestamp":1772657722505},{"id":"4GWQ.cs","timestamp":1772657735239},{"id":"GoWQ.cs","timestamp":1772657762861},{"id":"euIa.cs","timestamp":1772658484116},{"id":"Tt28.cs","timestamp":1772659259080},{"id":"y3ZY.cs","timestamp":1772659286185},{"id":"ik8E.cs","timestamp":1772659373055},{"id":"dZC4.cs","timestamp":1772659424718},{"id":"26Rk.cs","timestamp":1772659464758},{"id":"yxfK.cs","timestamp":1772659765699},{"id":"WeNg.cs","timestamp":1772659813242},{"id":"MbC8.cs","timestamp":1772659856530},{"id":"gr1X.cs","timestamp":1772659909009},{"id":"BJsp.cs","timestamp":1772660249541},{"id":"Smgs.cs","timestamp":1772660613374}]}

.vscode-server/data/User/History/b03096/euIa.cs

@@ -0,0 +1,51 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // We create the request using the library's internal 'Content' structure 
+        // but we add the parts as simple objects to avoid the IPart cast crash.
+        var content = new Content(Role.User);
+        content.Parts = new List<IPart>();
+        
+        // Instead of 'new Part', we use the specific Part types provided by the library 
+        // that are GUARANTEED to implement IPart correctly.
+        content.Parts.Add(new TextPart { Text = prompt });
+        content.Parts.Add(new InlineDataPart { MimeType = "image/png", Data = base64Image });
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/gr1X.cs

@@ -0,0 +1,45 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        
+        // THE FIX: Convert bytes to a Base64 string for the AddMedia method
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var request = new GenerateContentRequest(prompt);
+
+        // This matches the (string, string) signature the compiler is looking for
+        request.AddMedia(base64Image, "image/png");
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/ik8E.cs

@@ -0,0 +1,38 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var imageBytes = ms.ToArray();
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        var response = await model.GenerateContent(prompt, imageBytes, "image/png");
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/r1gL.cs

@@ -0,0 +1,51 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        GenerateContentRequest request = new()
+        {
+            Contents = new List<Content>
+            {
+                new Content
+                {
+                    Parts = new List<Part>
+                    {
+                        new() { Text = prompt },
+                        new() { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+                    }
+                }
+            }
+        };
+
+        var response = await model.GenerateContent((GenerateContentRequest)request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/sqBf.cs

@@ -0,0 +1,56 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Use the base Part class with property initializers
+        var parts = new List<Part>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        };
+
+        // Use the default constructor and set properties
+        var content = new Content
+        {
+            Role = Role.User,
+            Parts = parts
+        };
+
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        // Casting to solve the ambiguity error we saw earlier
+        var response = await model.GenerateContent((GenerateContentRequest)request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/vh2Y.cs

@@ -0,0 +1,54 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("GeminiApiKey missing in secrets");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        // Using the 2.5 Flash model specifically
+        var model = googleAI.GenerativeModel(Model.Gemini25Flash); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract this recipe. Provide a title and description.";
+
+        // This structure ensures the 2.5 model receives both the text and the image correctly
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content>
+            {
+                new Content
+                {
+                    Role = Role.User,
+                    Parts = new List<Part>
+                    {
+                        new TextPart { Text = prompt },
+                        new InlineDataPart { MimeType = "image/png", Data = base64Image }
+                    }
+                }
+            }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/y3ZY.cs

@@ -0,0 +1,51 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using System.Linq;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // Use the library's internal GenerateContentRequest but manually build the Parts list
+        var request = new GenerateContentRequest();
+        var content = new Content(Role.User);
+
+        // This is the specific syntax to satisfy the IPart list requirement
+        content.Parts = new List<IPart>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        }.Cast<IPart>().ToList(); // This 'Cast' is the magic bullet
+
+        request.Contents = new List<Content> { content };
+
+        // Solve the ambiguity by picking the Request overload
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}

.vscode-server/data/User/History/b03096/yxfK.cs

@@ -0,0 +1,46 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel(Model.Gemini25Flash); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var imageBytes = ms.ToArray();
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // 1. Create the request with just the text prompt first
+        var request = new GenerateContentRequest(prompt);
+
+        // 2. Use the built-in AddMedia helper. 
+        // This automatically handles the IPart/InlineData wrapping for you!
+        request.AddMedia(imageBytes, "image/png");
+
+        // 3. Send the request
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}