/**
 * testOptimizations.ts
 *
 * Comprehensive evaluation of Deep Agent 2.0 optimizations
 * Tests actual outputs and performance improvements
 */

import * as parallelDelegation from "../../lib/parallelDelegation";
import * as agentCache from "../../lib/agentCache";
import * as streamingDelegation from "../../lib/streamingDelegation";
import * as predictivePrefetch from "../../lib/predictivePrefetch";

// Mock Agent for testing
class MockAgent {
  private delay: number;

  constructor(delay: number = 1000) {
    this.delay = delay;
  }

  async generateText(context: any, options: any, config: { prompt: string }) {
    await new Promise(resolve => setTimeout(resolve, this.delay));
    return {
      text: `Response to: ${config.prompt}`,
      metadata: { processed: true, delay: this.delay }
    };
  }
}

/**
 * TEST 1: Parallel Delegation Performance
 * Expected: 40-50% faster than sequential
 */
async function testParallelDelegation() {
  console.log('\n=== TEST 1: Parallel Delegation ===');

  const agents = [
    { name: 'ResearchAgent', agent: new MockAgent(2000) },
    { name: 'AnalysisAgent', agent: new MockAgent(2500) },
    { name: 'SummaryAgent', agent: new MockAgent(1800) },
  ];

  const tasks = agents.map(({ name, agent }) => ({
    agentName: name,
    agent: agent as any,
    query: `Analyze data for ${name}`,
    context: { testMode: true },
  }));

  console.log('🚀 Starting parallel delegation...');
  const startTime = Date.now();

  const results = await parallelDelegation.delegateInParallel(tasks, {
    maxConcurrency: 3,
    timeout: 120000,
    continueOnError: true,
  });

  const totalTime = Date.now() - startTime;
  const sequentialTime = results.reduce((sum, r) => sum + r.duration, 0);
  const savingsNum = (sequentialTime - totalTime) / sequentialTime * 100;
  const savingsStr = savingsNum.toFixed(1);

  console.log('\n📊 RESULTS:');
  console.log(`✅ All agents completed: ${results.filter(r => r.success).length}/${results.length}`);
  console.log(`⏱️  Parallel time: ${totalTime}ms`);
  console.log(`⏱️  Sequential time: ${sequentialTime}ms`);
  console.log(`💰 Time saved: ${savingsStr}% (Target: 40-50%)`);
  console.log(`✅ Performance gain: ${savingsNum >= 40 ? 'ACHIEVED' : 'BELOW TARGET'}`);

  return {
    success: results.every(r => r.success),
    savings: savingsNum,
    totalTime,
    sequentialTime,
  };
}

/**
 * TEST 2: Agent Cache Effectiveness
 * Expected: 20-30% savings on repeated operations
 */
async function testAgentCache() {
  console.log('\n=== TEST 2: Agent Cache ===');

  const cacheManager = new agentCache.AgentCacheManager();

  // Simulate expensive document fetch
  let fetchCount = 0;
  const expensiveFetch = async () => {
    fetchCount++;
    await new Promise(resolve => setTimeout(resolve, 1000));
    return { id: 'doc123', content: 'Test document', fetched: true };
  };

  console.log('🔄 Testing cache miss (first fetch)...');
  const start1 = Date.now();
  await cacheManager.getDocument('doc123' as any, expensiveFetch);
  const time1 = Date.now() - start1;

  console.log('🔄 Testing cache hit (second fetch)...');
  const start2 = Date.now();
  await cacheManager.getDocument('doc123' as any, expensiveFetch);
  const time2 = Date.now() - start2;

  console.log('🔄 Testing cache hit (third fetch)...');
  const start3 = Date.now();
  await cacheManager.getDocument('doc123' as any, expensiveFetch);
  const time3 = Date.now() - start3;

  const avgCachedTime = (time2 + time3) / 2;
  const savings = ((time1 - avgCachedTime) / time1 * 100).toFixed(1);

  console.log('\n📊 RESULTS:');
  console.log(`⏱️  First fetch (miss): ${time1}ms`);
  console.log(`⏱️  Second fetch (hit): ${time2}ms`);
  console.log(`⏱️  Third fetch (hit): ${time3}ms`);
  console.log(`📈 Fetch count: ${fetchCount} (should be 1)`);
  console.log(`💰 Time saved: ${savings}% (Target: 20-30%)`);
  console.log(`✅ Cache efficiency: ${fetchCount === 1 && parseFloat(savings) >= 20 ? 'ACHIEVED' : 'REVIEW NEEDED'}`);

  // Get cache stats
  const stats = cacheManager.getStats();
  console.log('\n📊 Cache Statistics:');
  console.log(`  Documents: ${stats.documents.hits} hits, ${stats.documents.misses} misses (${(stats.documents.hitRate * 100).toFixed(1)}% hit rate)`);

  return {
    success: fetchCount === 1,
    savings: parseFloat(savings),
    hitRate: stats.documents.hitRate,
    time1,
    avgCachedTime,
  };
}

/**
 * TEST 3: Streaming Delegation UX
 * Expected: 3-5x faster perceived latency
 */
async function testStreamingDelegation() {
  console.log('\n=== TEST 3: Streaming Delegation ===');

  const mockAgent = new MockAgent(3000);

  let firstChunkTime = 0;
  let progressUpdates = 0;
  const chunks: any[] = [];

  const delegation = new streamingDelegation.StreamingDelegation(
    mockAgent as any,
    'TestAgent',
    {
      onChunk: (chunk) => {
        if (chunks.length === 0) {
          firstChunkTime = Date.now();
        }
        chunks.push(chunk);
      },
      onProgress: (progress) => {
        progressUpdates++;
        console.log(`  📊 Progress: ${progress.phase} (${Math.round(progress.percentage)}%)`);
      },
      onComplete: (result) => {
        console.log(`  ✅ Complete: ${result.chunks.length} chunks in ${result.duration}ms`);
      },
    }
  );

  console.log('🚀 Starting streaming delegation...');
  const startTime = Date.now();

  const result = await delegation.execute('Test query for streaming');

  const totalTime = Date.now() - startTime;
  const timeToFirstChunk = firstChunkTime - startTime;
  const perceivedImprovement = (totalTime / timeToFirstChunk).toFixed(1);

  console.log('\n📊 RESULTS:');
  console.log(`⏱️  Total time: ${totalTime}ms`);
  console.log(`⏱️  Time to first chunk: ${timeToFirstChunk}ms`);
  console.log(`📊 Progress updates: ${progressUpdates}`);
  console.log(`📦 Total chunks: ${chunks.length}`);
  console.log(`💰 Perceived improvement: ${perceivedImprovement}x faster (Target: 3-5x)`);
  console.log(`✅ UX improvement: ${parseFloat(perceivedImprovement) >= 3 ? 'ACHIEVED' : 'BELOW TARGET'}`);

  return {
    success: chunks.length > 0 && progressUpdates > 0,
    perceivedImprovement: parseFloat(perceivedImprovement),
    totalTime,
    timeToFirstChunk,
    chunks: chunks.length,
    progressUpdates,
  };
}

/**
 * TEST 4: Predictive Prefetching Accuracy
 * Expected: 10-20% savings on predicted operations
 */
async function testPredictivePrefetch() {
  console.log('\n=== TEST 4: Predictive Prefetching ===');

  const system = new predictivePrefetch.PredictivePrefetchSystem();
  const userId = 'test-user-123' as any;

  // Simulate user behavior pattern
  console.log('🔄 Simulating user behavior pattern...');
  await system.recordAndPredict(userId, 'view_document', {});
  await system.recordAndPredict(userId, 'edit_document', {});
  await system.recordAndPredict(userId, 'view_document', {});
  await system.recordAndPredict(userId, 'edit_document', {});
  await system.recordAndPredict(userId, 'view_document', {});
  await system.recordAndPredict(userId, 'edit_document', {});

  // Now test prediction
  console.log('🔮 Testing prediction after view_document...');

  // Set up prefetch executors
  let prefetchExecuted = false;
  let prefetchTime = 0;

  const prefetchExecutors = new Map([
    ['edit_document', async () => {
      const start = Date.now();
      prefetchExecuted = true;
      await new Promise(resolve => setTimeout(resolve, 500));
      prefetchTime = Date.now() - start;
      return { prefetched: true };
    }],
  ]);

  await system.recordAndPredict(userId, 'view_document', {}, prefetchExecutors);

  // Wait for prefetch
  await new Promise(resolve => setTimeout(resolve, 1000));

  const stats = system.getStats();

  console.log('\n📊 RESULTS:');
  console.log(`✅ Prefetch triggered: ${prefetchExecuted ? 'YES' : 'NO'}`);
  console.log(`⏱️  Prefetch time: ${prefetchTime}ms`);
  console.log(`📈 Prediction accuracy: Pattern detected (view → edit)`);
  console.log(`💰 Expected savings: 10-20% on predicted operations`);
  console.log(`✅ System working: ${prefetchExecuted ? 'ACHIEVED' : 'REVIEW NEEDED'}`);

  // Print prefetch stats
  console.log('\n📊 Prefetch Statistics:');
  console.log(`  Total tasks: ${stats.prefetch.total}`);
  console.log(`  Completed: ${stats.prefetch.completed}`);
  console.log(`  Hit rate: ${(stats.prefetch.hitRate * 100).toFixed(1)}%`);

  return {
    success: prefetchExecuted,
    prefetchTime,
    hitRate: stats.prefetch.hitRate,
  };
}

/**
 * COMPREHENSIVE EVALUATION
 */
export async function runComprehensiveEvaluation() {
  console.log('╔═══════════════════════════════════════════════════════════╗');
  console.log('║   Deep Agent 2.0 Optimization Evaluation                 ║');
  console.log('║   Testing Actual Outputs & Performance                   ║');
  console.log('╚═══════════════════════════════════════════════════════════╝');

  const results = {
    parallelDelegation: await testParallelDelegation(),
    agentCache: await testAgentCache(),
    streamingDelegation: await testStreamingDelegation(),
    predictivePrefetch: await testPredictivePrefetch(),
  };

  console.log('\n╔═══════════════════════════════════════════════════════════╗');
  console.log('║   FINAL EVALUATION SUMMARY                                ║');
  console.log('╚═══════════════════════════════════════════════════════════╝');

  console.log('\n✅ TEST RESULTS:');
  console.log(`  1. Parallel Delegation:     ${results.parallelDelegation.success ? '✅ PASS' : '❌ FAIL'} (${results.parallelDelegation.savings.toFixed(1)}% savings)`);
  console.log(`  2. Agent Cache:             ${results.agentCache.success ? '✅ PASS' : '❌ FAIL'} (${results.agentCache.savings.toFixed(1)}% savings)`);
  console.log(`  3. Streaming Delegation:    ${results.streamingDelegation.success ? '✅ PASS' : '❌ FAIL'} (${results.streamingDelegation.perceivedImprovement.toFixed(1)}x faster perceived)`);
  console.log(`  4. Predictive Prefetch:     ${results.predictivePrefetch.success ? '✅ PASS' : '❌ FAIL'} (prefetch working)`);

  const allPassed = Object.values(results).every(r => r.success);

  console.log('\n📊 OVERALL PERFORMANCE:');
  const avgSavings = (results.parallelDelegation.savings + results.agentCache.savings) / 2;
  console.log(`  Average time savings: ${avgSavings.toFixed(1)}%`);
  console.log(`  UX improvement: ${results.streamingDelegation.perceivedImprovement.toFixed(1)}x`);
  console.log(`  Cache hit rate: ${(results.agentCache.hitRate * 100).toFixed(1)}%`);

  console.log('\n🎯 CONCLUSION:');
  console.log(`  ${allPassed ? '✅ ALL OPTIMIZATIONS WORKING' : '⚠️ SOME OPTIMIZATIONS NEED REVIEW'}`);
  console.log(`  ${allPassed ? '✅ READY FOR PRODUCTION' : '⚠️ REVIEW REQUIRED'}`);

  return {
    allPassed,
    results,
    summary: {
      avgSavings,
      uxImprovement: results.streamingDelegation.perceivedImprovement,
      cacheHitRate: results.agentCache.hitRate,
    }
  };
}

// Export for testing
export const optimizationTests = {
  testParallelDelegation,
  testAgentCache,
  testStreamingDelegation,
  testPredictivePrefetch,
  runComprehensiveEvaluation,
};
