chore: import upstream snapshot with attribution
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.AI.Workflows;
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namespace WorkflowCheckpointWithHumanInTheLoopSample;
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/// <summary>
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/// This sample demonstrates how to create a workflow with human-in-the-loop interaction and
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/// checkpointing support. The workflow plays a number guessing game where the user provides
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/// guesses based on feedback from the workflow. The workflow state is checkpointed at the end
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/// of each super step, allowing it to be restored and resumed later.
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/// Each RequestPort request and response cycle takes two super steps:
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/// 1. The RequestPort sends a RequestInfoEvent to request input from the external world.
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/// 2. The external world sends a response back to the RequestPort.
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/// Thus, two checkpoints are created for each human-in-the-loop interaction.
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/// </summary>
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/// <remarks>
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/// Pre-requisites:
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/// - Foundational samples should be completed first.
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/// - This sample builds upon the HumanInTheLoopBasic sample. It's recommended to go through that
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/// sample first to understand the basics of human-in-the-loop workflows.
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/// - This sample also builds upon the CheckpointAndResume sample. It's recommended to
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/// go through that sample first to understand the basics of checkpointing and resuming workflows.
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/// </remarks>
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public static class Program
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{
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private static async Task Main()
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{
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// Create the workflow
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var workflow = WorkflowFactory.BuildWorkflow();
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// Create checkpoint manager
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var checkpointManager = CheckpointManager.Default;
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var checkpoints = new List<CheckpointInfo>();
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// Execute the workflow and save checkpoints
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await using StreamingRun checkpointedRun = await InProcessExecution
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.RunStreamingAsync(workflow, new SignalWithNumber(NumberSignal.Init), checkpointManager)
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;
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await foreach (WorkflowEvent evt in checkpointedRun.WatchStreamAsync())
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{
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switch (evt)
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{
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case RequestInfoEvent requestInputEvt:
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// Handle `RequestInfoEvent` from the workflow
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ExternalResponse response = HandleExternalRequest(requestInputEvt.Request);
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await checkpointedRun.SendResponseAsync(response);
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break;
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case ExecutorCompletedEvent executorCompletedEvt:
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Console.WriteLine($"* Executor {executorCompletedEvt.ExecutorId} completed.");
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break;
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case SuperStepCompletedEvent superStepCompletedEvt:
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// Checkpoints are automatically created at the end of each super step when a
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// checkpoint manager is provided. You can store the checkpoint info for later use.
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CheckpointInfo? checkpoint = superStepCompletedEvt.CompletionInfo!.Checkpoint;
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if (checkpoint is not null)
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{
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checkpoints.Add(checkpoint);
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Console.WriteLine($"** Checkpoint created at step {checkpoints.Count}.");
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}
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break;
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case WorkflowOutputEvent workflowOutputEvt:
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Console.WriteLine($"Workflow completed with result: {workflowOutputEvt.Data}");
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break;
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case WorkflowErrorEvent workflowError:
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred.");
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Console.ResetColor();
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break;
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case ExecutorFailedEvent executorFailed:
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine($"Executor '{executorFailed.ExecutorId}' failed with {(executorFailed.Data == null ? "unknown error" : $"exception {executorFailed.Data}")}.");
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Console.ResetColor();
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break;
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}
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}
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if (checkpoints.Count == 0)
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{
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throw new InvalidOperationException("No checkpoints were created during the workflow execution.");
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}
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Console.WriteLine($"Number of checkpoints created: {checkpoints.Count}");
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// Restoring from a checkpoint and resuming execution
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const int CheckpointIndex = 1;
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Console.WriteLine($"\n\nRestoring from the {CheckpointIndex + 1}th checkpoint.");
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CheckpointInfo savedCheckpoint = checkpoints[CheckpointIndex];
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// Note that we are restoring the state directly to the same run instance.
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await checkpointedRun.RestoreCheckpointAsync(savedCheckpoint, CancellationToken.None);
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await foreach (WorkflowEvent evt in checkpointedRun.WatchStreamAsync())
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{
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switch (evt)
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{
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case RequestInfoEvent requestInputEvt:
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// Handle `RequestInfoEvent` from the workflow
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ExternalResponse response = HandleExternalRequest(requestInputEvt.Request);
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await checkpointedRun.SendResponseAsync(response);
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break;
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case ExecutorCompletedEvent executorCompletedEvt:
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Console.WriteLine($"* Executor {executorCompletedEvt.ExecutorId} completed.");
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break;
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case WorkflowOutputEvent workflowOutputEvt:
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Console.WriteLine($"Workflow completed with result: {workflowOutputEvt.Data}");
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break;
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case WorkflowErrorEvent workflowError:
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred.");
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Console.ResetColor();
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break;
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case ExecutorFailedEvent executorFailed:
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine($"Executor '{executorFailed.ExecutorId}' failed with {(executorFailed.Data == null ? "unknown error" : $"exception {executorFailed.Data}")}.");
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Console.ResetColor();
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break;
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}
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}
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}
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private static ExternalResponse HandleExternalRequest(ExternalRequest request)
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{
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if (request.TryGetDataAs<SignalWithNumber>(out var signal))
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{
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switch (signal.Signal)
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{
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case NumberSignal.Init:
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int initialGuess = ReadIntegerFromConsole("Please provide your initial guess: ");
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return request.CreateResponse(initialGuess);
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case NumberSignal.Above:
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int lowerGuess = ReadIntegerFromConsole($"You previously guessed {signal.Number} too large. Please provide a new guess: ");
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return request.CreateResponse(lowerGuess);
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case NumberSignal.Below:
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int higherGuess = ReadIntegerFromConsole($"You previously guessed {signal.Number} too small. Please provide a new guess: ");
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return request.CreateResponse(higherGuess);
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}
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}
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throw new NotSupportedException($"Request {request.PortInfo.RequestType} is not supported");
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}
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private static int ReadIntegerFromConsole(string prompt)
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{
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while (true)
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{
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Console.Write(prompt);
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string? input = Console.ReadLine();
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if (int.TryParse(input, out int value))
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{
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return value;
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}
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Console.WriteLine("Invalid input. Please enter a valid integer.");
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}
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}
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}
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.AI.Workflows;
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namespace WorkflowCheckpointWithHumanInTheLoopSample;
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internal static class WorkflowFactory
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{
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/// <summary>
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/// Get a workflow that plays a number guessing game with human-in-the-loop interaction.
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/// An input port allows the external world to provide inputs to the workflow upon requests.
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/// </summary>
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internal static Workflow BuildWorkflow()
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{
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// Create the executors
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RequestPort numberRequest = RequestPort.Create<SignalWithNumber, int>("GuessNumber");
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JudgeExecutor judgeExecutor = new(42);
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// Build the workflow by connecting executors in a loop
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return new WorkflowBuilder(numberRequest)
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.AddEdge(numberRequest, judgeExecutor)
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.AddEdge(judgeExecutor, numberRequest)
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.WithOutputFrom(judgeExecutor)
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.Build();
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}
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}
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/// <summary>
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/// Signals indicating if the guess was too high, too low, or an initial guess.
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/// </summary>
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internal enum NumberSignal
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{
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Init,
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Above,
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Below,
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}
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/// <summary>
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/// Signals used for communication between guesses and the JudgeExecutor.
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/// </summary>
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internal sealed class SignalWithNumber
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{
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public NumberSignal Signal { get; }
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public int? Number { get; }
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public SignalWithNumber(NumberSignal signal, int? number = null)
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{
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this.Signal = signal;
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this.Number = number;
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}
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}
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/// <summary>
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/// Executor that judges the guess and provides feedback.
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/// </summary>
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[SendsMessage(typeof(SignalWithNumber))]
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[YieldsOutput(typeof(string))]
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internal sealed class JudgeExecutor() : Executor<int>("Judge")
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{
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private readonly int _targetNumber;
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private int _tries;
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private const string StateKey = "JudgeExecutorState";
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/// <summary>
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/// Initializes a new instance of the <see cref="JudgeExecutor"/> class.
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/// </summary>
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/// <param name="targetNumber">The number to be guessed.</param>
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public JudgeExecutor(int targetNumber) : this()
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{
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this._targetNumber = targetNumber;
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}
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public override async ValueTask HandleAsync(int message, IWorkflowContext context, CancellationToken cancellationToken = default)
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{
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this._tries++;
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if (message == this._targetNumber)
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{
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await context.YieldOutputAsync($"{this._targetNumber} found in {this._tries} tries!", cancellationToken);
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}
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else if (message < this._targetNumber)
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{
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await context.SendMessageAsync(new SignalWithNumber(NumberSignal.Below, message), cancellationToken: cancellationToken);
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}
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else
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{
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await context.SendMessageAsync(new SignalWithNumber(NumberSignal.Above, message), cancellationToken: cancellationToken);
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}
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}
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/// <summary>
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/// Checkpoint the current state of the executor.
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/// This must be overridden to save any state that is needed to resume the executor.
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/// </summary>
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protected override ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default) =>
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context.QueueStateUpdateAsync(StateKey, this._tries, cancellationToken: cancellationToken);
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/// <summary>
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/// Restore the state of the executor from a checkpoint.
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/// This must be overridden to restore any state that was saved during checkpointing.
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/// </summary>
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protected override async ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default) =>
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this._tries = await context.ReadStateAsync<int>(StateKey, cancellationToken: cancellationToken);
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}
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