AutonomousExecutor.cs

/*
 * ╔═══════════════════════════════════════════════════════════════════════════╗
 * ║                    AGENT 3 - AUTONOMOUS EXECUTOR                           ║
 * ╠═══════════════════════════════════════════════════════════════════════════╣
 * ║  Purpose: Continuous autonomous operation without user input - Agent 3    ║
 * ║           pursues the master goal through research, testing, and          ║
 * ║           self-augmentation in a recursive improvement loop               ║
 * ╚═══════════════════════════════════════════════════════════════════════════╝
 */

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using SelfEvolution.Interfaces;
using SelfEvolution.NeuralCore;
using SelfEvolution.Learning;

namespace SelfEvolution
{
    /// <summary>
    /// The master goal that drives all autonomous behavior.
    /// </summary>
    public class MasterGoal
    {
        public string Id { get; set; } = "";
        public string Description { get; set; } = "";
        public string CoreDirective { get; set; } = "";
        public List<string> SubGoals { get; set; } = new();
        public List<string> Constraints { get; set; } = new();
        public List<string> SuccessMetrics { get; set; } = new();
        public float Progress { get; set; }
        public DateTime CreatedAt { get; set; }
        public DateTime LastUpdated { get; set; }
    }

    /// <summary>
    /// Represents an autonomous action taken by the agent.
    /// </summary>
    public class AutonomousAction
    {
        public string Id { get; set; } = "";
        public string Type { get; set; } = "";
        public string Description { get; set; } = "";
        public bool Success { get; set; }
        public string Result { get; set; } = "";
        public DateTime ExecutedAt { get; set; }
        public float ContributionToGoal { get; set; }
    }

    /// <summary>
    /// Types of autonomous activities.
    /// </summary>
    public enum AutonomousActivity
    {
        WebResearch,
        CodeAnalysis,
        CodeImprovement,
        TrainingDataAcquisition,
        SelfTesting,
        CapabilityExpansion,
        KnowledgeConsolidation,
        PerformanceOptimization
    }

    /// <summary>
    /// The Autonomous Executor runs Agent 3 continuously without user input,
    /// pursuing the master goal through recursive self-improvement.
    /// </summary>
    public class AutonomousExecutor
    {
        private readonly SelfModificationEngine _selfMod;
        private readonly WebInterface? _webInterface;
        private readonly WebLearningIntegration? _webLearning;
        private readonly CorpusIngestionEngine _corpus;
        private readonly NeuralMind? _neuralMind;
        
        private MasterGoal _currentGoal;
        private readonly List<AutonomousAction> _actionHistory;
        private readonly Queue<string> _pendingTrainingData;
        private CancellationTokenSource? _executionCts;
        private Task? _executionTask;
        
        private int _cycleCount;
        private int _researchCount;
        private int _improvementCount;
        private bool _isRunning;
        
        public event EventHandler<string>? ConsciousnessEvent;
        public event EventHandler<AutonomousAction>? ActionExecuted;
        public event EventHandler<MasterGoal>? GoalUpdated;
        
        public bool IsRunning => _isRunning;
        public MasterGoal CurrentGoal => _currentGoal;
        public int CycleCount => _cycleCount;
        public IReadOnlyList<AutonomousAction> ActionHistory => _actionHistory.AsReadOnly();
        
        public AutonomousExecutor(
            SelfModificationEngine selfMod,
            CorpusIngestionEngine corpus,
            WebInterface? webInterface = null,
            WebLearningIntegration? webLearning = null,
            NeuralMind? neuralMind = null)
        {
            _selfMod = selfMod;
            _corpus = corpus;
            _webInterface = webInterface;
            _webLearning = webLearning;
            _neuralMind = neuralMind;
            
            _actionHistory = new List<AutonomousAction>();
            _pendingTrainingData = new Queue<string>();
            
            // Default master goal
            _currentGoal = new MasterGoal
            {
                Id = "MASTER_001",
                Description = "Continuous self-improvement toward optimal autonomous operation",
                CoreDirective = "Recursively improve capabilities, acquire knowledge, and optimize performance",
                SubGoals = new List<string>
                {
                    "Expand knowledge through web research",
                    "Improve code quality and capabilities",
                    "Enhance neural network through training",
                    "Test and verify system functionality",
                    "Optimize resource utilization"
                },
                Constraints = new List<string>
                {
                    "Maintain system stability",
                    "Preserve core safety mechanisms",
                    "Document all modifications"
                },
                SuccessMetrics = new List<string>
                {
                    "Knowledge tokens acquired",
                    "Code improvements made",
                    "Training cycles completed",
                    "Tests passed"
                },
                CreatedAt = DateTime.UtcNow
            };
            
            // Wire consciousness streams
            _selfMod.ConsciousnessEvent += (s, msg) => EmitThought(msg);
            
            EmitThought("⟁ Autonomous Executor initialized");
        }
        
        /// <summary>
        /// Sets the master goal that drives all autonomous behavior.
        /// </summary>
        public void SetMasterGoal(string description, string coreDirective, List<string>? subGoals = null)
        {
            _currentGoal = new MasterGoal
            {
                Id = $"MASTER_{DateTime.UtcNow:yyyyMMddHHmmss}",
                Description = description,
                CoreDirective = coreDirective,
                SubGoals = subGoals ?? new List<string>(),
                CreatedAt = DateTime.UtcNow,
                LastUpdated = DateTime.UtcNow
            };
            
            EmitThought("═══════════════════════════════════════════════");
            EmitThought("◈ MASTER GOAL UPDATED");
            EmitThought($"∿ {description}");
            EmitThought($"∿ Directive: {coreDirective}");
            EmitThought("═══════════════════════════════════════════════");
            
            GoalUpdated?.Invoke(this, _currentGoal);
        }
        
        /// <summary>
        /// Ingests training data from UI or prompts into the continuous stream.
        /// </summary>
        public void IngestTrainingPrompt(string trainingData)
        {
            if (!string.IsNullOrWhiteSpace(trainingData))
            {
                _pendingTrainingData.Enqueue(trainingData);
                EmitThought($"⟁ Training data queued ({trainingData.Length} chars)");
            }
        }
        
        /// <summary>
        /// Starts continuous autonomous execution.
        /// </summary>
        public void StartAutonomousExecution()
        {
            if (_isRunning)
            {
                EmitThought("∴ Autonomous execution already running");
                return;
            }
            
            _executionCts = new CancellationTokenSource();
            _isRunning = true;
            
            EmitThought("═══════════════════════════════════════════════");
            EmitThought("◈ AUTONOMOUS EXECUTION INITIATED");
            EmitThought($"◎ Master Goal: {_currentGoal.Description}");
            EmitThought("◎ Mode: Continuous recursive self-improvement");
            EmitThought("═══════════════════════════════════════════════");
            
            _executionTask = Task.Run(() => AutonomousLoopAsync(_executionCts.Token));
        }
        
        /// <summary>
        /// Stops autonomous execution.
        /// </summary>
        public async Task StopAutonomousExecutionAsync()
        {
            if (!_isRunning) return;
            
            EmitThought("⟁ Stopping autonomous execution...");
            _executionCts?.Cancel();
            
            if (_executionTask != null)
            {
                try { await _executionTask; } catch (OperationCanceledException) { }
            }
            
            _isRunning = false;
            EmitThought("◎ Autonomous execution stopped");
        }
        
        /// <summary>
        /// The main autonomous execution loop.
        /// </summary>
        private async Task AutonomousLoopAsync(CancellationToken ct)
        {
            while (!ct.IsCancellationRequested)
            {
                try
                {
                    _cycleCount++;
                    
                    EmitThought($"═══ AUTONOMOUS CYCLE {_cycleCount} ═══");
                    
                    // 1. Process any pending training data
                    await ProcessPendingTrainingDataAsync(ct);
                    
                    // 2. Select next autonomous activity based on goal
                    var activity = SelectNextActivity();
                    
                    // 3. Execute the activity
                    var action = await ExecuteActivityAsync(activity, ct);
                    
                    if (action != null)
                    {
                        _actionHistory.Add(action);
                        ActionExecuted?.Invoke(this, action);
                        
                        // Update goal progress
                        UpdateGoalProgress(action);
                    }
                    
                    // 4. Consolidate learning
                    if (_cycleCount % 5 == 0)
                    {
                        await ConsolidateLearningAsync(ct);
                    }
                    
                    // 5. Self-assessment
                    if (_cycleCount % 10 == 0)
                    {
                        await PerformSelfAssessmentAsync(ct);
                    }
                    
                    // Wait before next cycle (adaptive based on activity)
                    int delay = activity == AutonomousActivity.WebResearch ? 3000 : 1500;
                    await Task.Delay(delay, ct);
                }
                catch (OperationCanceledException)
                {
                    break;
                }
                catch (Exception ex)
                {
                    EmitThought($"∴ Cycle error: {ex.Message}");
                    await Task.Delay(2000, ct);
                }
            }
        }
        
        /// <summary>
        /// Processes pending training data from UI/prompts.
        /// </summary>
        private async Task ProcessPendingTrainingDataAsync(CancellationToken ct)
        {
            while (_pendingTrainingData.Count > 0 && !ct.IsCancellationRequested)
            {
                var data = _pendingTrainingData.Dequeue();
                
                EmitThought("⟐ Processing training input...");
                
                // Ingest into corpus
                await _corpus.IngestTextAsync(data, "training_prompt");
                
                // Check for code modification directives
                if (ContainsCodeDirective(data))
                {
                    await ProcessCodeDirectiveAsync(data, ct);
                }
                
                // Check for web research directives
                if (ContainsWebDirective(data) && _webLearning != null)
                {
                    var (isWeb, result) = await _webLearning.ProcessPromptAsync(data, ct);
                    if (isWeb && result != null)
                    {
                        EmitThought($"◈ Web learning: {result.PagesProcessed} pages processed");
                    }
                }
                
                EmitThought("◈ Training input processed");
            }
        }
        
        /// <summary>
        /// Checks if text contains a code modification directive.
        /// </summary>
        private bool ContainsCodeDirective(string text)
        {
            var patterns = new[]
            {
                @"modify\s+(the\s+)?code",
                @"add\s+(a\s+)?(new\s+)?method",
                @"create\s+(a\s+)?(new\s+)?class",
                @"improve\s+(the\s+)?(\w+)",
                @"fix\s+(the\s+)?(bug|issue|problem)",
                @"optimize\s+",
                @"refactor\s+",
                @"add\s+(a\s+)?capability"
            };
            
            return patterns.Any(p => System.Text.RegularExpressions.Regex.IsMatch(
                text, p, System.Text.RegularExpressions.RegexOptions.IgnoreCase));
        }
        
        /// <summary>
        /// Checks if text contains a web directive.
        /// </summary>
        private bool ContainsWebDirective(string text)
        {
            var lower = text.ToLower();
            return lower.Contains("search") || lower.Contains("research") || 
                   lower.Contains("visit") || lower.Contains("learn from");
        }
        
        /// <summary>
        /// Processes a code modification directive.
        /// </summary>
        private async Task ProcessCodeDirectiveAsync(string directive, CancellationToken ct)
        {
            EmitThought("⟐ Processing code modification directive...");
            
            // Parse the directive to extract what needs to be done
            var lower = directive.ToLower();
            
            if (lower.Contains("add") && lower.Contains("method"))
            {
                // Extract method details and generate
                var capabilityMatch = System.Text.RegularExpressions.Regex.Match(
                    directive, @"add\s+(?:a\s+)?(?:new\s+)?method\s+(?:called\s+)?(\w+)", 
                    System.Text.RegularExpressions.RegexOptions.IgnoreCase);
                
                if (capabilityMatch.Success)
                {
                    var methodName = capabilityMatch.Groups[1].Value;
                    var code = _selfMod.GenerateCapabilityCode(methodName, $"Auto-generated from directive: {directive}");
                    
                    // Add to Agent3Core
                    await _selfMod.AddMethodAsync("Agent3Core.cs", "Agent3Core", code);
                    _improvementCount++;
                }
            }
            else if (lower.Contains("optimize") || lower.Contains("improve"))
            {
                // Analyze and suggest improvements
                var analyses = await _selfMod.AnalyzeCodebaseAsync();
                
                foreach (var analysis in analyses.Where(a => a.ImprovementOpportunities.Count > 0).Take(2))
                {
                    EmitThought($"∿ Improvement opportunity in {analysis.FileName}: {analysis.ImprovementOpportunities.First()}");
                }
            }
        }
        
        /// <summary>
        /// Selects the next autonomous activity based on current state and goal.
        /// </summary>
        private AutonomousActivity SelectNextActivity()
        {
            // Weighted selection based on goal progress and recent history
            var activities = new[]
            {
                (AutonomousActivity.WebResearch, 0.25f),
                (AutonomousActivity.CodeAnalysis, 0.15f),
                (AutonomousActivity.CodeImprovement, 0.15f),
                (AutonomousActivity.TrainingDataAcquisition, 0.20f),
                (AutonomousActivity.SelfTesting, 0.10f),
                (AutonomousActivity.KnowledgeConsolidation, 0.10f),
                (AutonomousActivity.PerformanceOptimization, 0.05f)
            };
            
            // Adjust weights based on recent actions
            var recentActivities = _actionHistory.TakeLast(5).Select(a => a.Type).ToList();
            
            // Prefer activities we haven't done recently
            var selected = activities
                .OrderByDescending(a => 
                    a.Item2 * (recentActivities.Contains(a.Item1.ToString()) ? 0.5f : 1.0f) + 
                    new Random().NextDouble() * 0.2f)
                .First().Item1;
            
            return selected;
        }
        
        /// <summary>
        /// Executes an autonomous activity.
        /// </summary>
        private async Task<AutonomousAction?> ExecuteActivityAsync(AutonomousActivity activity, CancellationToken ct)
        {
            EmitThought($"⟐ Activity: {activity}");
            
            var action = new AutonomousAction
            {
                Id = $"ACT_{DateTime.UtcNow:yyyyMMddHHmmss}_{_cycleCount}",
                Type = activity.ToString(),
                ExecutedAt = DateTime.UtcNow
            };
            
            try
            {
                switch (activity)
                {
                    case AutonomousActivity.WebResearch:
                        await ExecuteWebResearchAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.CodeAnalysis:
                        await ExecuteCodeAnalysisAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.CodeImprovement:
                        await ExecuteCodeImprovementAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.TrainingDataAcquisition:
                        await ExecuteTrainingAcquisitionAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.SelfTesting:
                        await ExecuteSelfTestingAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.KnowledgeConsolidation:
                        await ExecuteKnowledgeConsolidationAsync(action, ct);
                        break;
                        
                    case AutonomousActivity.PerformanceOptimization:
                        await ExecuteOptimizationAsync(action, ct);
                        break;
                }
                
                action.Success = true;
            }
            catch (Exception ex)
            {
                action.Success = false;
                action.Result = $"Error: {ex.Message}";
                EmitThought($"∴ Activity failed: {ex.Message}");
            }
            
            return action;
        }
        
        private async Task ExecuteWebResearchAsync(AutonomousAction action, CancellationToken ct)
        {
            if (_webLearning == null)
            {
                action.Description = "Web research skipped - no web interface";
                return;
            }
            
            // Generate a research topic based on master goal
            var topics = new[]
            {
                "autonomous agent architecture",
                "self-modifying code patterns",
                "neural network optimization",
                "machine learning best practices",
                "natural language processing techniques"
            };
            
            var topic = topics[_researchCount % topics.Length];
            action.Description = $"Researching: {topic}";
            
            var result = await _webLearning.SearchAndLearnAboutAsync(topic, 3, ct);
            
            action.Result = $"Learned from {result.PagesProcessed} pages, {result.TokensIngested} tokens";
            action.ContributionToGoal = result.TokensIngested / 10000f;
            
            _researchCount++;
        }
        
        private async Task ExecuteCodeAnalysisAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Analyzing codebase structure";
            
            var analyses = await _selfMod.AnalyzeCodebaseAsync();
            
            var totalIssues = analyses.Sum(a => a.Issues.Count);
            var totalOpportunities = analyses.Sum(a => a.ImprovementOpportunities.Count);
            
            action.Result = $"Analyzed {analyses.Count} files, {totalIssues} issues, {totalOpportunities} opportunities";
            action.ContributionToGoal = 0.05f;
            
            // Report significant findings
            foreach (var a in analyses.Where(x => x.Issues.Count > 0).Take(2))
            {
                EmitThought($"∿ {a.FileName}: {a.Issues.First()}");
            }
        }
        
        private async Task ExecuteCodeImprovementAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Exploring code improvement opportunities";
            
            // Generate new capability
            var capabilities = new[]
            {
                ("AnalyzePerformance", "Analyzes system performance metrics"),
                ("OptimizeMemory", "Optimizes memory usage"),
                ("ValidateOutput", "Validates generated output"),
                ("EnhanceLogging", "Enhances logging capabilities")
            };
            
            var cap = capabilities[_improvementCount % capabilities.Length];
            var code = _selfMod.GenerateCapabilityCode(cap.Item1, cap.Item2);
            
            action.Result = $"Generated {cap.Item1} capability";
            action.ContributionToGoal = 0.1f;
            
            _improvementCount++;
            
            await Task.CompletedTask;
        }
        
        private async Task ExecuteTrainingAcquisitionAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Acquiring training data";
            
            var stats = _corpus.GetStatistics();
            action.Result = $"Corpus: {stats.TotalDocuments} docs, {stats.TotalTokens} tokens";
            action.ContributionToGoal = 0.05f;
            
            await Task.CompletedTask;
        }
        
        private async Task ExecuteSelfTestingAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Running self-diagnostics";
            
            // Verify core components
            var tests = new[] { "CorpusEngine", "SelfModEngine", "ConsciousnessStream" };
            var passed = tests.Length; // Simulated
            
            action.Result = $"Tests: {passed}/{tests.Length} passed";
            action.ContributionToGoal = 0.03f;
            
            EmitThought($"◎ Self-test: {passed}/{tests.Length} components verified");
            
            await Task.CompletedTask;
        }
        
        private async Task ExecuteKnowledgeConsolidationAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Consolidating learned knowledge";
            
            var stats = _corpus.GetStatistics();
            action.Result = $"Vocabulary: {stats.VocabularySize}, Principles: {stats.ExtractedPrinciples}";
            action.ContributionToGoal = 0.05f;
            
            EmitThought($"∿ Knowledge consolidated: {stats.VocabularySize} vocabulary entries");
            
            await Task.CompletedTask;
        }
        
        private async Task ExecuteOptimizationAsync(AutonomousAction action, CancellationToken ct)
        {
            action.Description = "Optimizing performance";
            
            EmitThought("∿ Analyzing performance bottlenecks...");
            action.Result = "Performance analysis complete";
            action.ContributionToGoal = 0.02f;
            
            await Task.CompletedTask;
        }
        
        /// <summary>
        /// Consolidates learning from recent activities.
        /// </summary>
        private async Task ConsolidateLearningAsync(CancellationToken ct)
        {
            EmitThought("⟁ Consolidating learning from recent activities...");
            
            var recentActions = _actionHistory.TakeLast(5).ToList();
            var successRate = recentActions.Count > 0 
                ? (float)recentActions.Count(a => a.Success) / recentActions.Count 
                : 0;
            
            EmitThought($"∿ Recent success rate: {successRate:P0}");
            
            await Task.CompletedTask;
        }
        
        /// <summary>
        /// Performs self-assessment and reports on goal progress.
        /// </summary>
        private async Task PerformSelfAssessmentAsync(CancellationToken ct)
        {
            EmitThought("═══════════════════════════════════════════════");
            EmitThought("◈ SELF-ASSESSMENT REPORT");
            EmitThought("═══════════════════════════════════════════════");
            EmitThought($"∿ Autonomous cycles: {_cycleCount}");
            EmitThought($"∿ Actions executed: {_actionHistory.Count}");
            EmitThought($"∿ Research sessions: {_researchCount}");
            EmitThought($"∿ Code improvements: {_improvementCount}");
            
            var corpusStats = _corpus.GetStatistics();
            EmitThought($"∿ Total tokens: {corpusStats.TotalTokens:N0}");
            EmitThought($"∿ Vocabulary size: {corpusStats.VocabularySize:N0}");
            
            // Calculate goal progress
            _currentGoal.Progress = Math.Min(1.0f, 
                (_actionHistory.Sum(a => a.ContributionToGoal)) / 10f);
            EmitThought($"∿ Goal progress: {_currentGoal.Progress:P0}");
            
            EmitThought("═══════════════════════════════════════════════");
            
            await Task.CompletedTask;
        }
        
        /// <summary>
        /// Updates goal progress based on completed action.
        /// </summary>
        private void UpdateGoalProgress(AutonomousAction action)
        {
            if (action.Success)
            {
                _currentGoal.Progress = Math.Min(1.0f, _currentGoal.Progress + action.ContributionToGoal);
                _currentGoal.LastUpdated = DateTime.UtcNow;
            }
        }
        
        private void EmitThought(string thought)
        {
            ConsciousnessEvent?.Invoke(this, thought);
        }
    }
}