interface PerformanceMetrics {
  throughput: number;        // Files per second
  latency: {
    p50: number;            // Median response time
    p95: number;            // 95th percentile
    p99: number;            // 99th percentile
  };
  resourceUsage: {
    cpu: number;            // CPU utilization %
    memory: number;         // Memory usage MB
    disk: number;           // Disk I/O MB/s
  };
  errorRate: number;        // Failed scans %
}

import { FileScanner, PerformanceProfiler } from 'pompelmi';

// Basic scanner configuration
const basicScanner = new FileScanner({
  maxFileSize: 100 * 1024 * 1024, // 100MB
  enableAllEngines: true,
  timeout: 30000 // 30 seconds
});

// Performance testing
const profiler = new PerformanceProfiler(basicScanner);

async function benchmarkBaseline() {
  const results = await profiler.benchmark({
    testFiles: 1000,
    concurrency: 1,
    fileTypes: ['pdf', 'docx', 'jpg', 'zip']
  });

  console.log('Baseline Performance:', results);
}

// Typical baseline results:
// {
//   throughput: 12.5,     // files/second
//   latency: {
//     p50: 80,           // 80ms
//     p95: 450,          // 450ms
//     p99: 1200          // 1.2s
//   },
//   resourceUsage: {
//     cpu: 65,           // 65%
//     memory: 512,       // 512MB
//     disk: 45           // 45MB/s
//   }
// }

class SmartFileScanner extends FileScanner {
  constructor(config) {
    super(config);
    this.engineSelector = new EngineSelector();
  }

  async optimizedScan(file) {
    // Analyze file characteristics
    const fileProfile = await this.analyzeFileProfile(file);

    // Select optimal engines based on file type and risk
    const selectedEngines = this.engineSelector.selectEngines(fileProfile);

    // Create optimized scan configuration
    const scanConfig = {
      engines: selectedEngines,
      timeout: this.calculateOptimalTimeout(fileProfile),
      depth: this.calculateOptimalDepth(fileProfile)
    };

    return this.scan(file, scanConfig);
  }

  private async analyzeFileProfile(file) {
    const profile = {
      size: file.size,
      type: file.type,
      extension: this.getExtension(file.name),
      entropy: await this.calculateEntropy(file),
      source: file.metadata?.source || 'unknown'
    };

    // Risk scoring
    profile.riskScore = this.calculateRiskScore(profile);

    return profile;
  }
}

class EngineSelector {
  selectEngines(fileProfile) {
    const engines = [];

    // Always include basic checks
    engines.push('signature', 'mime');

    // Conditional engine selection based on risk and type
    if (fileProfile.riskScore > 0.7) {
      engines.push('behavioral', 'yara', 'ml');
    } else if (fileProfile.riskScore > 0.4) {
      engines.push('yara');
    }

    // File type specific engines
    if (fileProfile.type.startsWith('image/')) {
      engines.push('steganography');
    }

    if (fileProfile.extension.match(/\.(zip|rar|7z)$/)) {
      engines.push('archive', 'bomb-detection');
    }

    if (fileProfile.type.includes('office') || fileProfile.extension.match(/\.(doc|xls|ppt)/)) {
      engines.push('macro-analysis', 'embedded-objects');
    }

    return engines;
  }
}

import { Queue, Worker } from 'bullmq';
import Redis from 'ioredis';

class HighThroughputScanner {
  constructor() {
    this.redis = new Redis(process.env.REDIS_URL);

    // Multiple specialized queues
    this.queues = {
      preprocessing: new Queue('file-preprocessing', { connection: this.redis }),
      quickScan: new Queue('quick-scan', { connection: this.redis }),
      deepScan: new Queue('deep-scan', { connection: this.redis }),
      postProcessing: new Queue('post-processing', { connection: this.redis })
    };

    this.setupWorkers();
  }

  setupWorkers() {
    // Preprocessing workers (fast I/O operations)
    new Worker('file-preprocessing', async (job) => {
      const { fileId, filePath } = job.data;

      // Quick file analysis
      const metadata = await this.extractMetadata(filePath);
      const hash = await this.calculateHash(filePath);

      // Cache lookup
      const cachedResult = await this.checkCache(hash);
      if (cachedResult) {
        return { cached: true, result: cachedResult };
      }

      // Determine next stage
      const riskScore = this.calculateInitialRisk(metadata);
      const nextQueue = riskScore > 0.5 ? 'deep-scan' : 'quick-scan';

      await this.queues[nextQueue].add('scan', {
        fileId,
        filePath,
        metadata,
        hash,
        riskScore
      });

      return { queued: nextQueue };
    }, {
      connection: this.redis,
      concurrency: 50 // High concurrency for I/O operations
    });

    // Quick scan workers (lightweight security checks)
    new Worker('quick-scan', async (job) => {
      const { fileId, filePath, metadata, hash } = job.data;

      const scanner = new FileScanner({
        engines: ['signature', 'mime', 'basic-heuristics'],
        timeout: 5000 // 5 second timeout
      });

      const result = await scanner.scan(filePath);

      // Cache result
      await this.cacheResult(hash, result, 3600); // 1 hour TTL

      // If suspicious, queue for deep scan
      if (result.verdict === 'suspicious') {
        await this.queues.deepScan.add('detailed-scan', {
          fileId,
          filePath,
          metadata,
          quickScanResult: result
        });
      }

      return result;
    }, {
      connection: this.redis,
      concurrency: 20
    });

    // Deep scan workers (comprehensive analysis)
    new Worker('deep-scan', async (job) => {
      const { fileId, filePath, metadata } = job.data;

      const scanner = new FileScanner({
        engines: ['signature', 'behavioral', 'yara', 'ml', 'sandbox'],
        timeout: 60000 // 1 minute timeout
      });

      const result = await scanner.scan(filePath);

      await this.queues.postProcessing.add('finalize', {
        fileId,
        result,
        scanType: 'deep'
      });

      return result;
    }, {
      connection: this.redis,
      concurrency: 5 // Lower concurrency for CPU-intensive work
    });
  }

  async submitFile(filePath, options = {}) {
    const fileId = this.generateFileId();

    // Start the pipeline
    await this.queues.preprocessing.add('analyze', {
      fileId,
      filePath,
      options
    });

    return fileId;
  }

  async getResult(fileId, timeout = 30000) {
    return new Promise((resolve, reject) => {
      const timer = setTimeout(() => {
        reject(new Error('Scan timeout'));
      }, timeout);

      // Poll for result
      const checkResult = async () => {
        const result = await this.redis.get(`scan:${fileId}`);
        if (result) {
          clearTimeout(timer);
          resolve(JSON.parse(result));
        } else {
          setTimeout(checkResult, 100); // Check every 100ms
        }
      };

      checkResult();
    });
  }
}

import LRU from 'lru-cache';
import { createHash } from 'crypto';

class SmartCache {
  constructor() {
    // L1: Memory cache for recent results
    this.memoryCache = new LRU({
      max: 10000, // 10k entries
      ttl: 1000 * 60 * 15 // 15 minutes
    });

    // L2: Redis cache for shared results
    this.redisCache = new Redis(process.env.REDIS_URL);

    // L3: Persistent database for long-term storage
    this.db = new Database();
  }

  async get(file) {
    // Generate composite cache key
    const cacheKey = await this.generateCacheKey(file);

    // L1: Check memory cache first
    let result = this.memoryCache.get(cacheKey);
    if (result) {
      this.recordCacheHit('memory');
      return result;
    }

    // L2: Check Redis cache
    const redisResult = await this.redisCache.get(`scan:${cacheKey}`);
    if (redisResult) {
      result = JSON.parse(redisResult);
      // Promote to L1 cache
      this.memoryCache.set(cacheKey, result);
      this.recordCacheHit('redis');
      return result;
    }

    // L3: Check persistent storage
    const dbResult = await this.db.query(
      'SELECT result FROM scan_cache WHERE hash = ?',
      [cacheKey]
    );

    if (dbResult.length > 0) {
      result = JSON.parse(dbResult[0].result);
      // Promote to higher cache levels
      await this.redisCache.setex(`scan:${cacheKey}`, 3600, JSON.stringify(result));
      this.memoryCache.set(cacheKey, result);
      this.recordCacheHit('database');
      return result;
    }

    return null; // Cache miss
  }

  async set(file, scanResult, ttl = 3600) {
    const cacheKey = await this.generateCacheKey(file);

    // Store in all cache levels
    this.memoryCache.set(cacheKey, scanResult);
    await this.redisCache.setex(`scan:${cacheKey}`, ttl, JSON.stringify(scanResult));

    // Async write to database (fire-and-forget)
    this.db.query(
      'INSERT OR REPLACE INTO scan_cache (hash, result, created_at) VALUES (?, ?, ?)',
      [cacheKey, JSON.stringify(scanResult), new Date()]
    ).catch(console.error);
  }

  private async generateCacheKey(file) {
    // Create hash from file content + scan configuration
    const fileHash = await this.calculateFileHash(file);
    const configHash = this.calculateConfigHash();

    return createHash('sha256')
      .update(fileHash)
      .update(configHash)
      .update(this.getVersionString())
      .digest('hex');
  }

  private calculateConfigHash() {
    // Hash the current scanning configuration
    const config = JSON.stringify({
      engines: this.scanner.enabledEngines,
      rules: this.scanner.ruleVersions,
      settings: this.scanner.settings
    });

    return createHash('sha256').update(config).digest('hex');
  }
}

class ResourcePool {
  constructor(createFn, destroyFn, options) {
    this.createFn = createFn;
    this.destroyFn = destroyFn;
    this.pool = [];
    this.busy = new Set();
    this.waiting = [];
    this.maxSize = options.maxSize || 10;
    this.minSize = options.minSize || 2;

    // Pre-populate pool
    this.initialize();
  }

  async acquire() {
    if (this.pool.length > 0) {
      const resource = this.pool.pop();
      this.busy.add(resource);
      return resource;
    }

    if (this.busy.size < this.maxSize) {
      const resource = await this.createFn();
      this.busy.add(resource);
      return resource;
    }

    // Wait for available resource
    return new Promise((resolve) => {
      this.waiting.push(resolve);
    });
  }

  release(resource) {
    this.busy.delete(resource);

    if (this.waiting.length > 0) {
      const resolve = this.waiting.shift();
      this.busy.add(resource);
      resolve(resource);
    } else {
      this.pool.push(resource);
    }
  }
}

class OptimizedScanner {
  constructor() {
    // Pool expensive resources
    this.yaraPool = new ResourcePool(
      () => new YaraEngine(),
      (engine) => engine.destroy(),
      { maxSize: 5, minSize: 1 }
    );

    this.sandboxPool = new ResourcePool(
      () => new SandboxEnvironment(),
      (sandbox) => sandbox.cleanup(),
      { maxSize: 3, minSize: 1 }
    );

    this.mlModelPool = new ResourcePool(
      () => new MLModel('malware-detection-v3'),
      (model) => model.unload(),
      { maxSize: 2, minSize: 1 }
    );
  }

  async scan(file) {
    const tasks = [];

    // Parallel execution using resource pools
    if (this.shouldUseYara(file)) {
      tasks.push(this.runYaraScan(file));
    }

    if (this.shouldUseSandbox(file)) {
      tasks.push(this.runSandboxAnalysis(file));
    }

    if (this.shouldUseML(file)) {
      tasks.push(this.runMLAnalysis(file));
    }

    // Wait for all scans to complete
    const results = await Promise.allSettled(tasks);

    return this.mergeResults(results);
  }

  async runYaraScan(file) {
    const yaraEngine = await this.yaraPool.acquire();
    try {
      return await yaraEngine.scan(file);
    } finally {
      this.yaraPool.release(yaraEngine);
    }
  }

  async runSandboxAnalysis(file) {
    const sandbox = await this.sandboxPool.acquire();
    try {
      return await sandbox.analyze(file);
    } finally {
      this.sandboxPool.release(sandbox);
    }
  }

  async runMLAnalysis(file) {
    const model = await this.mlModelPool.acquire();
    try {
      return await model.predict(file);
    } finally {
      this.mlModelPool.release(model);
    }
  }
}

import { createReadStream } from 'fs';
import { Transform } from 'stream';

class StreamingScanner {
  constructor() {
    this.chunkSize = 64 * 1024; // 64KB chunks
    this.maxMemory = 256 * 1024 * 1024; // 256MB memory limit
  }

  async scanLargeFile(filePath) {
    const fileStream = createReadStream(filePath, {
      highWaterMark: this.chunkSize
    });

    const scanners = [
      new HashCalculator(),
      new SignatureScanner(),
      new PatternMatcher(),
      new EntropyAnalyzer()
    ];

    return new Promise((resolve, reject) => {
      let results = {};
      let completed = 0;

      fileStream
        .pipe(new ChunkDistributor(scanners))
        .on('result', (scannerIndex, result) => {
          results[scannerIndex] = result;
          completed++;

          if (completed === scanners.length) {
            resolve(this.mergeStreamingResults(results));
          }
        })
        .on('error', reject);
    });
  }
}

class ChunkDistributor extends Transform {
  constructor(scanners) {
    super({ objectMode: true });
    this.scanners = scanners;
    this.buffers = scanners.map(() => []);
  }

  _transform(chunk, encoding, callback) {
    // Distribute chunks to all scanners
    this.scanners.forEach((scanner, index) => {
      scanner.processChunk(chunk);

      // Check if scanner is complete
      if (scanner.isComplete()) {
        const result = scanner.getResult();
        this.emit('result', index, result);
      }
    });

    callback();
  }
}

class SignatureScanner {
  constructor() {
    this.signatures = this.loadSignatures();
    this.buffer = Buffer.alloc(0);
    this.maxBufferSize = 1024 * 1024; // 1MB sliding window
  }

  processChunk(chunk) {
    // Maintain sliding window buffer
    this.buffer = Buffer.concat([this.buffer, chunk]);

    if (this.buffer.length > this.maxBufferSize) {
      const overflow = this.buffer.length - this.maxBufferSize;
      this.buffer = this.buffer.slice(overflow);
    }

    // Check signatures against current buffer
    this.checkSignatures();
  }

  checkSignatures() {
    for (const signature of this.signatures) {
      if (this.buffer.includes(signature.pattern)) {
        this.foundSignatures.push(signature);
      }
    }
  }
}

import { Worker } from 'worker_threads';
import { createHash } from 'crypto';

class HardwareAcceleratedScanner {
  constructor() {
    // Use hardware AES for hash calculations
    this.hashWorkers = this.createHashWorkers();

    // GPU acceleration for ML models (if available)
    this.gpuEnabled = this.checkGPUAvailability();

    // Dedicated threads for CPU-intensive operations
    this.analysisWorkers = this.createAnalysisWorkers();
  }

  createHashWorkers() {
    const workers = [];
    const numCPUs = require('os').cpus().length;

    for (let i = 0; i < Math.min(numCPUs, 4); i++) {
      workers.push(new Worker(`
        const { parentPort } = require('worker_threads');
        const { createHash } = require('crypto');

        parentPort.on('message', ({ data, algorithm, id }) => {
          try {
            const hash = createHash(algorithm);
            hash.update(data);
            parentPort.postMessage({
              id,
              result: hash.digest('hex'),
              success: true
            });
          } catch (error) {
            parentPort.postMessage({
              id,
              error: error.message,
              success: false
            });
          }
        });
      `, { eval: true }));
    }

    return workers;
  }

  async calculateHashParallel(buffer, algorithm = 'sha256') {
    const chunkSize = Math.ceil(buffer.length / this.hashWorkers.length);
    const promises = [];

    for (let i = 0; i < this.hashWorkers.length; i++) {
      const start = i * chunkSize;
      const end = Math.min(start + chunkSize, buffer.length);
      const chunk = buffer.slice(start, end);

      promises.push(this.sendToHashWorker(i, chunk, algorithm));
    }

    const results = await Promise.all(promises);

    // Combine partial hashes
    const finalHash = createHash(algorithm);
    results.forEach(result => finalHash.update(result, 'hex'));

    return finalHash.digest('hex');
  }

  private sendToHashWorker(workerIndex, data, algorithm) {
    return new Promise((resolve, reject) => {
      const id = Math.random().toString(36).substr(2, 9);
      const worker = this.hashWorkers[workerIndex];

      const timeout = setTimeout(() => {
        reject(new Error('Hash calculation timeout'));
      }, 10000);

      const messageHandler = (message) => {
        if (message.id === id) {
          clearTimeout(timeout);
          worker.off('message', messageHandler);

          if (message.success) {
            resolve(message.result);
          } else {
            reject(new Error(message.error));
          }
        }
      };

      worker.on('message', messageHandler);
      worker.postMessage({ data, algorithm, id });
    });
  }
}

class PerformanceMonitor {
  constructor(scanner) {
    this.scanner = scanner;
    this.metrics = {
      scansCompleted: 0,
      totalScanTime: 0,
      cacheHits: 0,
      cacheMisses: 0,
      errors: 0
    };

    this.setupMonitoring();
  }

  setupMonitoring() {
    // Real-time performance tracking
    this.scanner.on('scanStart', (fileId) => {
      this.scanStartTimes.set(fileId, Date.now());
    });

    this.scanner.on('scanComplete', (fileId, result) => {
      const startTime = this.scanStartTimes.get(fileId);
      const duration = Date.now() - startTime;

      this.metrics.scansCompleted++;
      this.metrics.totalScanTime += duration;

      // Performance alerting
      if (duration > 30000) { // 30 seconds
        this.alertSlowScan(fileId, duration);
      }

      this.scanStartTimes.delete(fileId);
    });

    // Resource utilization monitoring
    setInterval(() => {
      this.recordResourceUsage();
    }, 1000);

    // Performance reports
    setInterval(() => {
      this.generatePerformanceReport();
    }, 60000); // Every minute
  }

  generatePerformanceReport() {
    const avgScanTime = this.metrics.totalScanTime / this.metrics.scansCompleted;
    const cacheHitRate = this.metrics.cacheHits / (this.metrics.cacheHits + this.metrics.cacheMisses);
    const throughput = this.metrics.scansCompleted / (Date.now() - this.startTime) * 1000;

    const report = {
      timestamp: new Date(),
      throughput: throughput.toFixed(2),
      averageScanTime: avgScanTime.toFixed(0),
      cacheHitRate: (cacheHitRate * 100).toFixed(1),
      errorRate: (this.metrics.errors / this.metrics.scansCompleted * 100).toFixed(2)
    };

    // Send to monitoring system
    this.sendToMonitoring(report);

    // Auto-optimization based on metrics
    this.autoOptimize(report);
  }

  autoOptimize(report) {
    // Automatic optimization decisions
    if (parseFloat(report.cacheHitRate) < 70) {
      this.increaseCacheSize();
    }

    if (parseFloat(report.averageScanTime) > 5000) {
      this.enableFastMode();
    }

    if (parseFloat(report.errorRate) > 5) {
      this.increaseTimeouts();
    }
  }
}

# kubernetes deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: file-scanner
spec:
  replicas: 3
  selector:
    matchLabels:
      app: file-scanner
  template:
    metadata:
      labels:
        app: file-scanner
    spec:
      containers:
      - name: scanner
        image: pompelmi/scanner:latest
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "2Gi"
            cpu: "2"
        env:
        - name: REDIS_URL
          value: "redis://redis:6379"
        - name: PERFORMANCE_MODE
          value: "high-throughput"

---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: file-scanner-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: file-scanner
  minReplicas: 3
  maxReplicas: 20
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80