// Copyright (c) Microsoft. All rights reserved.

using System.Text.Json;
using System.Text.Json.Serialization;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;

namespace WorkflowCustomAgentExecutorsSample;

/// <summary>
/// This sample demonstrates how to create custom executors for AI agents.
/// This is useful when you want more control over the agent's behaviors in a workflow.
///
/// In this example, we create two custom executors:
/// 1. SloganWriterExecutor: An AI agent that generates slogans based on a given task.
/// 2. FeedbackExecutor: An AI agent that provides feedback on the generated slogans.
/// (These two executors manage the agent instances and their conversation threads.)
///
/// The workflow alternates between these two executors until the slogan meets a certain
/// quality threshold or a maximum number of attempts is reached.
/// </summary>
/// <remarks>
/// Pre-requisites:
/// - Foundational samples should be completed first.
/// - An Azure OpenAI chat completion deployment that supports structured outputs must be configured.
/// </remarks>
public static class Program
{
    private static async Task Main()
    {
        // Set up the Azure AI Foundry client
        var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
        var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
        AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());

        // Create the executors
        var sloganWriter = new SloganWriterExecutor("SloganWriter", aiProjectClient, deploymentName);
        var feedbackProvider = new FeedbackExecutor("FeedbackProvider", aiProjectClient, deploymentName);

        // Build the workflow by adding executors and connecting them
        var workflow = new WorkflowBuilder(sloganWriter)
            .AddEdge(sloganWriter, feedbackProvider)
            .AddEdge(feedbackProvider, sloganWriter)
            .WithOutputFrom(feedbackProvider)
            .Build();

        // Execute the workflow
        await using StreamingRun run = await InProcessExecution.RunStreamingAsync(workflow, input: "Create a slogan for a new electric SUV that is affordable and fun to drive.");
        await foreach (WorkflowEvent evt in run.WatchStreamAsync())
        {
            if (evt is SloganGeneratedEvent or FeedbackEvent)
            {
                // Custom events to allow us to monitor the progress of the workflow.
                Console.WriteLine($"{evt}");
            }

            if (evt is WorkflowOutputEvent outputEvent)
            {
                Console.WriteLine($"{outputEvent}");
            }

            if (evt is WorkflowErrorEvent errorEvent)
            {
                Console.WriteLine($"Workflow error: {errorEvent.Exception?.Message}");
                Console.WriteLine($"Details: {errorEvent.Exception}");
            }
        }
    }
}

/// <summary>
/// A class representing the output of the slogan writer agent.
/// </summary>
public sealed class SloganResult
{
    [JsonPropertyName("task")]
    public required string Task { get; set; }

    [JsonPropertyName("slogan")]
    public required string Slogan { get; set; }
}

/// <summary>
/// A class representing the output of the feedback agent.
/// </summary>
public sealed class FeedbackResult
{
    [JsonPropertyName("comments")]
    public string Comments { get; set; } = string.Empty;

    [JsonPropertyName("rating")]
    public int Rating { get; set; }

    [JsonPropertyName("actions")]
    public string Actions { get; set; } = string.Empty;
}

/// <summary>
/// A custom event to indicate that a slogan has been generated.
/// </summary>
internal sealed class SloganGeneratedEvent(SloganResult sloganResult) : WorkflowEvent(sloganResult)
{
    public override string ToString() => $"Slogan: {sloganResult.Slogan}";
}

/// <summary>
/// A custom executor that uses an AI agent to generate slogans based on a given task.
/// Note that this executor has two message handlers:
/// 1. HandleAsync(string message): Handles the initial task to create a slogan.
/// 2. HandleAsync(Feedback message): Handles feedback to improve the slogan.
/// </summary>
internal sealed partial class SloganWriterExecutor : Executor
{
    private readonly AIAgent _agent;
    private AgentSession? _session;

    /// <summary>
    /// Initializes a new instance of the <see cref="SloganWriterExecutor"/> class.
    /// </summary>
    /// <param name="id">A unique identifier for the executor.</param>
    /// <param name="chatClient">The AI project client to use for the AI agent.</param>
    /// <param name="model">The model deployment name.</param>
    public SloganWriterExecutor(string id, AIProjectClient chatClient, string model) : base(id)
    {
        ChatClientAgentOptions agentOptions = new()
        {
            ChatOptions = new()
            {
                ModelId = model,
                Instructions = "You are a professional slogan writer. You will be given a task to create a slogan.",
                ResponseFormat = ChatResponseFormat.ForJsonSchema<SloganResult>()
            }
        };

        this._agent = chatClient.AsAIAgent(agentOptions);
    }

    [MessageHandler]
    public async ValueTask<SloganResult> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
    {
        this._session ??= await this._agent.CreateSessionAsync(cancellationToken);

        var result = await this._agent.RunAsync(message, this._session, cancellationToken: cancellationToken);

        var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");

        await context.AddEventAsync(new SloganGeneratedEvent(sloganResult), cancellationToken);
        return sloganResult;
    }

    [MessageHandler]
    public async ValueTask<SloganResult> HandleAsync(FeedbackResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
    {
        var feedbackMessage = $"""
            Here is the feedback on your previous slogan:
            Comments: {message.Comments}
            Rating: {message.Rating}
            Suggested Actions: {message.Actions}

            Please use this feedback to improve your slogan.
            """;

        var result = await this._agent.RunAsync(feedbackMessage, this._session, cancellationToken: cancellationToken);
        var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");

        await context.AddEventAsync(new SloganGeneratedEvent(sloganResult), cancellationToken);
        return sloganResult;
    }
}

/// <summary>
/// A custom event to indicate that feedback has been provided.
/// </summary>
internal sealed class FeedbackEvent(FeedbackResult feedbackResult) : WorkflowEvent(feedbackResult)
{
    private readonly JsonSerializerOptions _options = new() { WriteIndented = true };
    public override string ToString() => $"Feedback:\n{JsonSerializer.Serialize(feedbackResult, this._options)}";
}

/// <summary>
/// A custom executor that uses an AI agent to provide feedback on a slogan.
/// </summary>
[SendsMessage(typeof(FeedbackResult))]
[YieldsOutput(typeof(string))]
internal sealed partial class FeedbackExecutor : Executor<SloganResult>
{
    private readonly AIAgent _agent;
    private AgentSession? _session;

    public int MinimumRating { get; init; } = 8;

    public int MaxAttempts { get; init; } = 3;

    private int _attempts;

    /// <summary>
    /// Initializes a new instance of the <see cref="FeedbackExecutor"/> class.
    /// </summary>
    /// <param name="id">A unique identifier for the executor.</param>
    /// <param name="chatClient">The AI project client to use for the AI agent.</param>
    /// <param name="model">The model deployment name.</param>
    public FeedbackExecutor(string id, AIProjectClient chatClient, string model) : base(id)
    {
        ChatClientAgentOptions agentOptions = new()
        {
            ChatOptions = new()
            {
                ModelId = model,
                Instructions = "You are a professional editor. You will be given a slogan and the task it is meant to accomplish.",
                ResponseFormat = ChatResponseFormat.ForJsonSchema<FeedbackResult>()
            }
        };

        this._agent = chatClient.AsAIAgent(agentOptions);
    }

    public override async ValueTask HandleAsync(SloganResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
    {
        this._session ??= await this._agent.CreateSessionAsync(cancellationToken);

        var sloganMessage = $"""
            Here is a slogan for the task '{message.Task}':
            Slogan: {message.Slogan}
            Please provide feedback on this slogan, including comments, a rating from 1 to 10, and suggested actions for improvement.
            """;

        var response = await this._agent.RunAsync(sloganMessage, this._session, cancellationToken: cancellationToken);
        var feedback = JsonSerializer.Deserialize<FeedbackResult>(response.Text) ?? throw new InvalidOperationException("Failed to deserialize feedback.");

        await context.AddEventAsync(new FeedbackEvent(feedback), cancellationToken);

        if (feedback.Rating >= this.MinimumRating)
        {
            await context.YieldOutputAsync($"The following slogan was accepted:\n\n{message.Slogan}", cancellationToken);
            return;
        }

        if (this._attempts >= this.MaxAttempts)
        {
            await context.YieldOutputAsync($"The slogan was rejected after {this.MaxAttempts} attempts. Final slogan:\n\n{message.Slogan}", cancellationToken);
            return;
        }

        await context.SendMessageAsync(feedback, cancellationToken: cancellationToken);
        this._attempts++;
    }
}
