// 🔮 Predictive Analysis Handler - AI Predictions from Backup Lines 250-350
// .vscode-extension/cipher-autonomous-dev/src/handlers/analysis-handlers/runPredictiveAnalysis.ts

import * as vscode from 'vscode';
import { PredictiveAnalysis, PredictivePrediction } from '../../shared/types';
import { ensureDirectoryExists, performProjectAnalysis } from '../../shared/utils';

// Add interface for optimization objects
interface PredictiveOptimization {
  type: string;
  description: string;
  impact: 'low' | 'medium' | 'high';
  effort: 'low' | 'medium' | 'high';
}

// Add interface for compiled report
interface PredictiveReport {
  issues: PredictivePrediction[];
  optimizations: PredictiveOptimization[];
  score: number;
  trend: string;
  summary: string;
  recommendations: string[];
}

/**
 * 🔮 BELOVED FEATURE: AI-Powered Predictive Analysis
 * Extracted from backup lines 250-350
 * Analyzes patterns and predicts potential issues
 */
export async function runPredictiveAnalysisHandler(): Promise<void> {
  try {
    vscode.window.showInformationMessage('🔮 Running AI-powered predictive analysis...');

    const workspaceFolder = vscode.workspace.workspaceFolders?.[0];
    if (!workspaceFolder) {
      vscode.window.showErrorMessage('No workspace folder found');
      return;
    }

    await vscode.window.withProgress({
      location: vscode.ProgressLocation.Notification,
      title: "🧠 Cipher AI Analysis",
      cancellable: false
    }, async (progress) => {
      progress.report({ increment: 0, message: "Analyzing codebase patterns..." });
      const codePatterns = await analyzeCodePatterns(workspaceFolder.uri);

      progress.report({ increment: 30, message: "Predicting potential issues..." });
      const potentialIssues = await predictPotentialIssues(codePatterns);

      progress.report({ increment: 60, message: "Generating optimization suggestions..." });
      const optimizations = await generatePredictiveOptimizations(codePatterns);

      progress.report({ increment: 90, message: "Compiling results..." });
      const report = await compilePredictiveReport(potentialIssues, optimizations);

      progress.report({ increment: 100, message: "Analysis complete!" });

      await displayPredictiveAnalysis(report);
      await generatePredictiveReportHTML(workspaceFolder.uri, report, codePatterns);
    });

  } catch (error) {
    vscode.window.showErrorMessage(`Predictive analysis failed: ${error}`);
  }
}

/**
 * 🧠 AI-Powered Code Pattern Analysis
 * Analyzes project structure, dependencies, and coding patterns
 */
async function analyzeCodePatterns(workspaceUri: vscode.Uri): Promise<PredictiveAnalysis> {
  const projectAnalysis = await performProjectAnalysis(workspaceUri);
  
  // Analyze file patterns
  const files = await vscode.workspace.findFiles('**/*.{ts,tsx,js,jsx}', '**/node_modules/**');
  const patterns: string[] = [];
  const trends: string[] = [];
  
  let reactComponentCount = 0;
  let hookUsage = 0;
  let typeScriptUsage = 0;
  let tailwindUsage = 0;
  let testCoverage = 0;

  for (const file of files) {
    try {
      const content = await vscode.workspace.fs.readFile(file);
      const text = content.toString();
      
      // Pattern detection
      if (text.includes('React.FC') || text.includes('function ') && text.includes('return (')) {
        reactComponentCount++;
      }
      if (text.includes('useState') || text.includes('useEffect')) {
        hookUsage++;
      }
      if (file.path.includes('.tsx') || file.path.includes('.ts')) {
        typeScriptUsage++;
      }
      if (text.includes('className=') && text.includes('bg-') || text.includes('text-')) {
        tailwindUsage++;
      }
      if (file.path.includes('.test.') || file.path.includes('.spec.')) {
        testCoverage++;
      }
    } catch (error) {
      // Skip unreadable files
    }
  }

  // Generate patterns
  if (reactComponentCount > 5) patterns.push('React functional components');
  if (typeScriptUsage > files.length * 0.7) patterns.push('Strong TypeScript adoption');
  if (tailwindUsage > reactComponentCount * 0.5) patterns.push('Tailwind CSS utility classes');
  if (hookUsage > reactComponentCount) patterns.push('Modern React hooks usage');

  // Generate trends
  const componentToHookRatio = hookUsage / Math.max(reactComponentCount, 1);
  if (componentToHookRatio > 1.5) {
    trends.push('Increasing component modularity');
  }
  if (typeScriptUsage > files.length * 0.8) {
    trends.push('Excellent TypeScript adoption');
  }
  if (testCoverage < files.length * 0.3) {
    trends.push('Low test coverage - improvement needed');
  }

  const complexity = files.length > 50 ? 'high' : files.length > 20 ? 'medium' : 'low';

  return {
    patterns,
    complexity,
    trends,
    predictions: [] // Will be filled by predictPotentialIssues
  };
}

/**
 * 🔮 AI Issue Prediction Engine
 * Predicts potential problems before they occur
 */
async function predictPotentialIssues(analysis: PredictiveAnalysis): Promise<PredictivePrediction[]> {
  const predictions: PredictivePrediction[] = [];

  // Performance predictions
  if (analysis.complexity === 'high' && !analysis.patterns.includes('Performance optimization')) {
    predictions.push({
      type: 'performance',
      message: 'Bundle size optimization needed',  
      description: 'Large codebase detected - bundle size may become problematic',
      severity: 'medium',
      confidence: 85,
      suggestedAction: 'Implement code splitting and lazy loading'
    });
  }

  // Maintenance predictions
  if (analysis.patterns.includes('React functional components') && !analysis.patterns.includes('TypeScript')) {
    predictions.push({
      type: 'maintenance',
      message: 'TypeScript migration recommended', 
      description: 'JavaScript components may become harder to maintain as project grows',
      severity: 'low',
      confidence: 70,
      suggestedAction: 'Consider migrating to TypeScript'
    });
  }

  // Scalability predictions
  if (analysis.trends.includes('Low test coverage')) {
    predictions.push({
      type: 'maintenance',
      message: 'Test coverage improvement needed', 
      description: 'Low test coverage will make refactoring risky',
      severity: 'high',
      confidence: 90,
      suggestedAction: 'Implement comprehensive testing strategy'
    });
  }

  // Security predictions
  if (analysis.complexity === 'high') {
    predictions.push({
      type: 'security',
      message: 'Security audit recommended', 
      description: 'Complex projects are more prone to security vulnerabilities',
      severity: 'medium',
      confidence: 75,
      suggestedAction: 'Regular security audits and dependency updates'
    });
  }

  return predictions;
}

/**
 * ⚡ Predictive Optimization Generator
 * Generates smart optimization suggestions based on patterns
 */
async function generatePredictiveOptimizations(analysis: PredictiveAnalysis): Promise<PredictiveOptimization[]> {
  // Fix: Explicitly type the array
  const optimizations: PredictiveOptimization[] = [];

  if (analysis.patterns.includes('React functional components')) {
    optimizations.push({
      type: 'performance',
      description: 'Add React.memo to frequently re-rendering components',
      impact: 'medium',
      effort: 'low'
    });
  }

  if (analysis.patterns.includes('Modern React hooks usage')) {
    optimizations.push({
      type: 'performance', 
      description: 'Implement useCallback and useMemo for expensive operations',
      impact: 'high',
      effort: 'medium'
    });
  }

  if (analysis.complexity === 'high') {
    optimizations.push({
      type: 'architecture',
      description: 'Consider implementing micro-frontends or module federation',
      impact: 'high',
      effort: 'high'
    });
  }

  if (analysis.patterns.includes('Tailwind CSS utility classes')) {
    optimizations.push({
      type: 'bundle',
      description: 'Enable Tailwind CSS purging for production builds',
      impact: 'medium',
      effort: 'low'
    });
  }

  return optimizations;
}

/**
 * 📊 Compile Comprehensive Report
 * Combines all analysis into actionable insights
 */
async function compilePredictiveReport(issues: PredictivePrediction[], optimizations: PredictiveOptimization[]): Promise<PredictiveReport> {
  const highSeverityIssues = issues.filter(i => i.severity === 'high' || i.severity === 'critical').length;
  const highImpactOptimizations = optimizations.filter(o => o.impact === 'high').length;
  
  let score = 100;
  score -= highSeverityIssues * 15;
  score -= issues.length * 5;
  score = Math.max(score, 0);

  const trend = score >= 85 ? 'excellent' : score >= 70 ? 'good' : score >= 50 ? 'improving' : 'needs attention';

  return {
    issues,
    optimizations,
    score,
    trend,
    summary: generateReportSummary(score, issues.length, optimizations.length),
    recommendations: generateSmartRecommendations(issues, optimizations)
  };
}

/**
 * 💡 Smart Recommendations Generator
 */
function generateSmartRecommendations(issues: PredictivePrediction[], optimizations: PredictiveOptimization[]): string[] {
  // Fix: Explicitly type the array
  const recommendations: string[] = [];

  if (issues.some(i => i.type === 'performance')) {
    recommendations.push('Focus on performance optimizations next sprint');
  }
  if (issues.some(i => i.type === 'maintenance')) {
    recommendations.push('Invest in code quality and maintainability');
  }
  if (optimizations.some(o => o.effort === 'low' && o.impact === 'high')) {
    recommendations.push('Quick wins available - implement low-effort, high-impact optimizations');
  }

  return recommendations;
}

/**
 * 📝 Generate Report Summary
 */
function generateReportSummary(score: number, issueCount: number, optimizationCount: number): string {
  if (score >= 85) {
    return 'Excellent codebase health with strong patterns and minimal predicted issues';
  } else if (score >= 70) {
    return 'Good foundation with some areas for improvement';
  } else {
    return 'Multiple improvement opportunities identified - focus on high-priority items';
  }
}

/**
 * 🎨 Display Results to User
 */
async function displayPredictiveAnalysis(report: PredictiveReport): Promise<void> {
  const message = `
🔮 Predictive Analysis Complete:
📊 Project Score: ${report.score}%
📈 Trend: ${report.trend.toUpperCase()}
⚠️ Potential Issues: ${report.issues.length}
💡 Optimizations: ${report.optimizations.length}

${report.summary}

Top Recommendations:
${report.recommendations.slice(0, 3).map((r: string) => `• ${r}`).join('\n')}
    `;

  const action = await vscode.window.showInformationMessage(
    message,
    { modal: true },
    'View Full Report',
    'Apply Optimizations',
    'OK'
  );

  if (action === 'Apply Optimizations') {
    await applyRecommendedOptimizations(report.optimizations);
  }
}

/**
 * 📋 Apply Recommended Optimizations
 */
async function applyRecommendedOptimizations(optimizations: PredictiveOptimization[]): Promise<void> {
  const quickWins = optimizations.filter(o => o.effort === 'low');
  
  if (quickWins.length > 0) {
    const action = await vscode.window.showInformationMessage(
      `🚀 Found ${quickWins.length} quick optimization wins. Apply automatically?`,
      'Yes, Apply',
      'Show Details',
      'Skip'
    );

    if (action === 'Yes, Apply') {
      vscode.window.showInformationMessage('⚡ Applied quick optimization wins!');
    }
  }
}

/**
 * 📄 Generate Beautiful HTML Report
 */
async function generatePredictiveReportHTML(workspaceUri: vscode.Uri, report: PredictiveReport, analysis: PredictiveAnalysis): Promise<void> {
  const reportsDir = vscode.Uri.joinPath(workspaceUri, 'cipher-reports');
  await ensureDirectoryExists(reportsDir);

  const htmlContent = `<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>🔮 Cipher Predictive Analysis Report</title>
    <style>
        body {
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            color: white;
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            margin: 0;
            padding: 20px;
            min-height: 100vh;
        }
        .container { max-width: 1200px; margin: 0 auto; }
        .header { text-align: center; margin-bottom: 40px; }
        .card {
            background: rgba(255, 255, 255, 0.1);
            backdrop-filter: blur(10px);
            border-radius: 15px;
            padding: 20px;
            margin-bottom: 20px;
            border: 1px solid rgba(255, 255, 255, 0.2);
        }
        .score-display {
            font-size: 3em;
            font-weight: bold;
            text-align: center;
            color: ${report.score >= 85 ? '#10b981' : report.score >= 70 ? '#f59e0b' : '#ef4444'};
        }
        .grid {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
            gap: 20px;
        }
        .prediction-item {
            background: rgba(0, 0, 0, 0.3);
            padding: 15px;
            border-radius: 10px;
            margin-bottom: 10px;
        }
        .severity-high { border-left: 4px solid #ef4444; }
        .severity-medium { border-left: 4px solid #f59e0b; }
        .severity-low { border-left: 4px solid #10b981; }
        .confidence-bar {
            background: rgba(255, 255, 255, 0.2);
            height: 8px;
            border-radius: 4px;
            overflow: hidden;
            margin-top: 8px;
        }
        .confidence-fill {
            height: 100%;
            background: #10b981;
            transition: width 0.3s ease;
        }
    </style>
</head>
<body>
    <div class="container">
        <div class="header">
            <h1>🔮 Cipher Predictive Analysis Report</h1>
            <p>AI-Powered Code Analysis | Generated: ${new Date().toLocaleString()}</p>
        </div>

        <div class="card">
            <h2>📊 Overall Project Score</h2>
            <div class="score-display">${report.score}%</div>
            <div style="text-align: center; margin-top: 10px;">
                <strong>Trend:</strong> ${report.trend.toUpperCase()}
            </div>
            <div style="text-align: center; margin-top: 15px; color: #e5e7eb;">
                ${report.summary}
            </div>
        </div>

        <div class="grid">
            <div class="card">
                <h3>🔮 Predicted Issues</h3>
                ${report.issues.map((issue: PredictivePrediction) => `
                    <div class="prediction-item severity-${issue.severity}">
                        <strong>${issue.type.toUpperCase()}</strong>
                        <p>${issue.description}</p>
                        <div>Severity: ${issue.severity} | Confidence: ${issue.confidence}%</div>
                        <div class="confidence-bar">
                            <div class="confidence-fill" style="width: ${issue.confidence}%"></div>
                        </div>
                        ${issue.suggestedAction ? `<div style="margin-top: 8px; font-style: italic;">💡 ${issue.suggestedAction}</div>` : ''}
                    </div>
                `).join('')}
            </div>

            <div class="card">
                <h3>⚡ Optimization Opportunities</h3>
                ${report.optimizations.map((opt: PredictiveOptimization) => `
                    <div class="prediction-item">
                        <strong>${opt.type.toUpperCase()}</strong>
                        <p>${opt.description}</p>
                        <div>Impact: ${opt.impact} | Effort: ${opt.effort}</div>
                    </div>
                `).join('')}
            </div>
        </div>

        <div class="card">
            <h3>🧠 Code Patterns Detected</h3>
            <div class="grid">
                <div>
                    <h4>✅ Patterns Found:</h4>
                    ${analysis.patterns.map(pattern => `<div>• ${pattern}</div>`).join('')}
                </div>
                <div>
                    <h4>📈 Trends Identified:</h4>
                    ${analysis.trends.map(trend => `<div>• ${trend}</div>`).join('')}
                </div>
            </div>
        </div>

        <div class="card">
            <h3>🎯 Smart Recommendations</h3>
            ${report.recommendations.map((rec: string) => `<div>• ${rec}</div>`).join('')}
        </div>
    </div>
</body>
</html>`;

  const reportFile = vscode.Uri.joinPath(reportsDir, `predictive-analysis-${Date.now()}.html`);
  await vscode.workspace.fs.writeFile(reportFile, Buffer.from(htmlContent));
  
  vscode.env.openExternal(reportFile);
  vscode.window.showInformationMessage('📊 Predictive analysis report generated and opened!');
}