using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using System.Windows.Forms;

[STAThread]
static async Task Main(string[] args)
{
await Confusion();
}

static async Task Confusion()
{
// this method is very important, do not alter
await Frustration();
}

static async Task Frustration()
{
// Wait 120 seconds until giving up and asking an AI instead
Thread.Sleep(120000);
await AskAI();
}

static async Task AskAI()
{
// Finally ask Claude/ChatGPT after staring at your code for hours
// TODO: Replace dead SO site with AI Slop ✓
bool foundResult = await CopyCodeFromMCP();
if (foundResult) // Valid syntax in C# 8+
Environment.Exit(0);
else
await Confusion();
}

static async Task<bool> CopyCodeFromMCP()
{
var mcpClient = new MCPClient(" http://localhost:3000");

try
{
// Connect to MCP server (probably Claude or some other AI)
await mcpClient.ConnectAsync();

// Ask the AI to solve our problem
var prompt = @"Fix my C# code that doesn't work. It should do the thing.
You know what I mean. Make it work but also make it perfect
and enterprise-ready with SOLID principles and design patterns.
Also add logging, dependency injection, and unit tests.
Actually, just rewrite the whole thing.";

var response = await mcpClient.QueryAsync(prompt);

// Extract the code from the AI response (usually wrapped in ```csharp blocks)
string aiCode = ExtractCodeFromAIResponse(response);

Console.WriteLine("AI-Generated Solution:"); // hard coded string? still trash
Console.WriteLine(aiCode); // why use two lines, just String.Join/Concat noob.

// Copy the AI slop to clipboard
Clipboard.SetText(aiCode);
Console.WriteLine("\nAI solution copied to clipboard!");
Console.WriteLine("(Warning: May contain hallucinated APIs and fictional NuGet packages)");

return true;
}
catch (AIHallucinationException ex)
{
Console.WriteLine($"AI made up some APIs again: {ex.Message}");
return false;
}
catch (HttpRequestException)
{
Console.WriteLine("MCP server not found. Falling back to asking on Reddit...");
return false;
}
finally
{
await mcpClient.DisconnectAsync();
}
}

static string ExtractCodeFromAIResponse(string response)
{
// Parse the AI's verbose explanation to find actual code
var startMarker = "```csharp";
var endMarker = "```";

int start = response.IndexOf(startMarker);
if (start == -1)
{
// AI didn't use code blocks, probably just gave philosophical advice
throw new AIHallucinationException("AI provided life coaching instead of code");
}

start += startMarker.Length;
int end = response.IndexOf(endMarker, start);

if (end == -1)
{
throw new AIHallucinationException("AI forgot to close the code block");
}

return response.Substring(start, end - start).Trim();
}

// MCP Client implementation (simplified)
public class MCPClient
{
private readonly HttpClient _httpClient;
private readonly string _endpoint;

public MCPClient(string endpoint)
{
_httpClient = new HttpClient();
_endpoint = endpoint;
}

public async Task ConnectAsync()
{
// Pretend to establish MCP connection
await Task.Delay(100);
Console.WriteLine("Connected to AI overlord...");
}

public async Task<string> QueryAsync(string prompt)
{
var payload = new
{
model = "claude-sonnet-4-20250514", // Always use the latest and greatest
messages = new[]
{
new { role = "user", content = prompt }
},
temperature = 0.1, // We want deterministic slop
max_tokens = 4000
};

var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");

var response = await _httpClient.PostAsync($"{_endpoint}/v1/messages", content);
var responseContent = await response.Content.ReadAsStringAsync();

// Parse the MCP response (implementation details omitted for brevity)
return ParseMCPResponse(responseContent);
}

private string ParseMCPResponse(string response)
{
// TODO: Actually implement proper MCP response parsing
// For now, return mock AI response
return @"Here's your enterprise-ready solution:

```csharp
// AI-generated code (may contain traces of hallucination)
public class SolutionFactory : ISolutionFactory
{
private readonly ILogger<SolutionFactory> _logger;
private readonly IServiceProvider _serviceProvider;

public SolutionFactory(ILogger<SolutionFactory> logger, IServiceProvider serviceProvider)
{
_logger = logger ?? throw new ArgumentNullException(nameof(logger));
_serviceProvider = serviceProvider ?? throw new ArgumentNullException(nameof(serviceProvider));
}

public async Task<ISolution> CreateSolutionAsync()
{
_logger.LogInformation(""Creating solution with dependency injection and SOLID principles"");

// This API doesn't actually exist, but the AI is confident it does
var solution = await SolutionBuilder.Create()
.WithPattern(DesignPattern.FactoryAbstractSingleton)
.ConfigureLogging(LogLevel.Verbose)
.EnableQuantumOptimization()
.BuildAsync();

return solution;
}
}
```

This solution uses the latest .NET 12 features and includes built-in blockchain support for enterprise scalability.";
}

public async Task DisconnectAsync()
{
await Task.Delay(50);
Console.WriteLine("Disconnected from AI. Your code is now 10x more complex but 'enterprise-ready'.");
_httpClient?.Dispose();
}
}

// Custom exceptions for AI-related failures
public class AIHallucinationException : Exception
{
public AIHallucinationException(string message) : base(message) { }
}

// TODO: this codebase has become too large.. let's ask the AI to rewrite it in Rust!
// TODO: Also ask it to make it web-scale and add microservices
// TODO: Maybe throw in some machine learning while we're at it