codecrucible-synth/src/core/scalability-architecture-system.ts

Production-Ready AI Development Platform with Multi-Voice Synthesis, Smithery MCP Integration, Enterprise Security, and Zero-Timeout Reliability

#!/usr/bin/env node

/**
 * Scalability Architecture System
 * Prepares the codebase for multi-user, distributed, and high-load scenarios
 */

import { EventEmitter } from 'events';
import { promises as fs } from 'fs';
import { glob } from 'glob';
import { logger } from './logger.js';

export interface ScalabilityIssue {
  type:
    | 'singleton'
    | 'global_state'
    | 'blocking_operation'
    | 'memory_intensive'
    | 'non_stateless'
    | 'hardcoded_limits';
  severity: 'low' | 'medium' | 'high' | 'critical';
  file: string;
  line: number;
  description: string;
  impact: string;
  solution: string;
  priority: number;
  estimatedEffort: 'low' | 'medium' | 'high';
}

export interface ScalabilityRecommendation {
  category: 'architecture' | 'caching' | 'database' | 'api_design' | 'deployment' | 'monitoring';
  title: string;
  description: string;
  benefits: string[];
  implementation: string[];
  priority: 'low' | 'medium' | 'high' | 'critical';
  timeframe: 'immediate' | 'short_term' | 'medium_term' | 'long_term';
}

export interface ScalabilityMetrics {
  codeComplexity: number;
  singletonCount: number;
  globalStateUsage: number;
  blockingOperations: number;
  cachingOpportunities: number;
  statefulComponents: number;
  scalabilityScore: number;
}

export class ScalabilityArchitectureSystem extends EventEmitter {
  private issues: ScalabilityIssue[] = [];
  private recommendations: ScalabilityRecommendation[] = [];
  private sourceFiles: string[] = [];

  /**
   * Analyze codebase for scalability issues and generate architectural recommendations
   */
  async analyzeScalability(): Promise<{
    issues: ScalabilityIssue[];
    recommendations: ScalabilityRecommendation[];
    metrics: ScalabilityMetrics;
    migrationPlan: string[];
  }> {
    logger.info('🏗️ Starting comprehensive scalability architecture analysis...');

    // Discover source files
    await this.discoverSourceFiles();

    // Analyze code for scalability issues
    await this.analyzeCodeForScalabilityIssues();

    // Generate architectural recommendations
    this.generateArchitecturalRecommendations();

    // Calculate metrics
    const metrics = this.calculateScalabilityMetrics();

    // Generate migration plan
    const migrationPlan = this.generateMigrationPlan();

    // Generate architectural blueprints
    await this.generateArchitecturalBlueprints();

    return {
      issues: this.issues,
      recommendations: this.recommendations,
      metrics,
      migrationPlan,
    };
  }

  /**
   * Discover all source files for analysis
   */
  private async discoverSourceFiles(): Promise<void> {
    this.sourceFiles = await glob('src/**/*.{ts,js}', {
      ignore: ['src/**/*.test.ts', 'src/**/*.spec.ts'],
    });

    logger.info(`📁 Analyzing ${this.sourceFiles.length} source files for scalability`);
  }

  /**
   * Analyze code for scalability issues
   */
  private async analyzeCodeForScalabilityIssues(): Promise<void> {
    for (const file of this.sourceFiles) {
      try {
        const content = await fs.readFile(file, 'utf-8');
        await this.analyzeFileForScalabilityIssues(file, content);
      } catch (error) {
        logger.warn(`Failed to analyze ${file}:`, error);
      }
    }
  }

  /**
   * Analyze a single file for scalability issues
   */
  private async analyzeFileForScalabilityIssues(filePath: string, content: string): Promise<void> {
    const lines = content.split('\n');

    for (let i = 0; i < lines.length; i++) {
      const line = lines[i];
      const lineNum = i + 1;

      // Check for singleton patterns
      if (this.isSingletonPattern(line, lines, i)) {
        this.issues.push({
          type: 'singleton',
          severity: 'high',
          file: filePath,
          line: lineNum,
          description: 'Singleton pattern detected',
          impact: 'Prevents horizontal scaling and creates shared state across users',
          solution: 'Convert to dependency injection or stateless service',
          priority: 8,
          estimatedEffort: 'medium',
        });
      }

      // Check for global state
      if (this.hasGlobalState(line)) {
        this.issues.push({
          type: 'global_state',
          severity: 'high',
          file: filePath,
          line: lineNum,
          description: 'Global state usage detected',
          impact: 'Creates race conditions and prevents multi-tenancy',
          solution: 'Move state to user/session context or database',
          priority: 9,
          estimatedEffort: 'high',
        });
      }

      // Check for blocking operations
      if (this.isBlockingOperation(line)) {
        this.issues.push({
          type: 'blocking_operation',
          severity: 'medium',
          file: filePath,
          line: lineNum,
          description: 'Synchronous blocking operation',
          impact: 'Reduces throughput and can cause timeouts under load',
          solution: 'Convert to async/await or use worker threads',
          priority: 6,
          estimatedEffort: 'low',
        });
      }

      // Check for memory-intensive operations
      if (this.isMemoryIntensive(line)) {
        this.issues.push({
          type: 'memory_intensive',
          severity: 'medium',
          file: filePath,
          line: lineNum,
          description: 'Memory-intensive operation',
          impact: 'Can cause OOM errors with multiple users',
          solution: 'Implement streaming or pagination',
          priority: 7,
          estimatedEffort: 'medium',
        });
      }

      // Check for non-stateless components
      if (this.isNonStateless(line, lines, i)) {
        this.issues.push({
          type: 'non_stateless',
          severity: 'high',
          file: filePath,
          line: lineNum,
          description: 'Component maintains instance state',
          impact: 'Prevents load balancing and auto-scaling',
          solution: 'Refactor to stateless design with external state storage',
          priority: 8,
          estimatedEffort: 'high',
        });
      }

      // Check for hardcoded limits
      if (this.hasHardcodedLimits(line)) {
        this.issues.push({
          type: 'hardcoded_limits',
          severity: 'medium',
          file: filePath,
          line: lineNum,
          description: 'Hardcoded resource limits',
          impact: 'Cannot adapt to varying load conditions',
          solution: 'Make limits configurable and implement auto-scaling',
          priority: 5,
          estimatedEffort: 'low',
        });
      }
    }
  }

  /**
   * Check for singleton patterns
   */
  private isSingletonPattern(line: string, lines: string[], index: number): boolean {
    // Check for typical singleton patterns
    const singletonPatterns = [
      /private\s+static\s+instance/,
      /getInstance\s*\(\s*\)/,
      /new\.target.*constructor/,
      /export\s+const\s+\w+\s*=\s*new\s+/,
    ];

    return singletonPatterns.some(pattern => pattern.test(line));
  }

  /**
   * Check for global state usage
   */
  private hasGlobalState(line: string): boolean {
    const globalStatePatterns = [
      /global\[\w+\]/,
      /process\.env\.\w+\s*=/, // Setting env vars at runtime
      /window\.\w+\s*=/, // Browser global
      /globalThis\.\w+\s*=/,
      /export\s+let\s+\w+/, // Mutable exports
      /var\s+\w+.*=.*(?!function)/, // Global vars (outside functions)
    ];

    return globalStatePatterns.some(pattern => pattern.test(line));
  }

  /**
   * Check for blocking operations
   */
  private isBlockingOperation(line: string): boolean {
    const blockingPatterns = [
      /\.readFileSync\(/,
      /\.writeFileSync\(/,
      /\.execSync\(/,
      /require\s*\(\s*['"][^'"]+['"]\s*\)/, // Synchronous require
      /JSON\.parse\(.*readFileSync/,
      /crypto\.pbkdf2Sync/,
      /crypto\.scryptSync/,
    ];

    return blockingPatterns.some(pattern => pattern.test(line));
  }

  /**
   * Check for memory-intensive operations
   */
  private isMemoryIntensive(line: string): boolean {
    const memoryIntensivePatterns = [
      /new\s+Array\s*\(\s*\d{4,}\s*\)/, // Large arrays
      /Buffer\.alloc\s*\(\s*\d{6,}\s*\)/, // Large buffers
      /JSON\.stringify\s*\(\s*.*\)/, // Large object serialization
      /\.readFile\s*\(\s*.*\).*(?!stream)/, // Reading entire files
      /new\s+Map\s*\(\s*\).*(?=.*for|.*while)/, // Large maps in loops
    ];

    return memoryIntensivePatterns.some(pattern => pattern.test(line));
  }

  /**
   * Check for non-stateless components
   */
  private isNonStateless(line: string, lines: string[], index: number): boolean {
    // Look for class properties that maintain state
    if (/private\s+\w+:\s*(?:Map|Set|Array|Object)/.test(line)) {
      // Check if it's a cache or store (bad for scalability)
      const contextLines = lines.slice(Math.max(0, index - 5), Math.min(lines.length, index + 5));
      const hasStatefulContext = contextLines.some(contextLine =>
        /cache|store|history|state|session/.test(contextLine.toLowerCase())
      );

      return hasStatefulContext;
    }

    return false;
  }

  /**
   * Check for hardcoded limits
   */
  private hasHardcodedLimits(line: string): boolean {
    const hardcodedLimitPatterns = [
      /maxConnections:\s*\d+/,
      /timeout:\s*\d{4,}/, // Large timeout values
      /limit:\s*\d+/,
      /maxRetries:\s*\d+/,
      /poolSize:\s*\d+/,
      /batchSize:\s*\d+/,
    ];

    return hardcodedLimitPatterns.some(pattern => pattern.test(line));
  }

  /**
   * Generate architectural recommendations
   */
  private generateArchitecturalRecommendations(): void {
    this.recommendations = [
      {
        category: 'architecture',
        title: 'Implement Microservices Architecture',
        description: 'Break down monolithic components into smaller, independent services',
        benefits: [
          'Independent scaling of components',
          'Better fault isolation',
          'Technology diversity',
          'Easier deployment and updates',
        ],
        implementation: [
          'Identify service boundaries based on business capabilities',
          'Implement API Gateway for service orchestration',
          'Use message queues for async communication',
          'Implement distributed tracing and logging',
        ],
        priority: 'high',
        timeframe: 'medium_term',
      },
      {
        category: 'caching',
        title: 'Implement Distributed Caching',
        description: 'Replace in-memory caches with distributed cache solutions',
        benefits: [
          'Shared cache across multiple instances',
          'Improved cache hit rates',
          'Reduced memory usage per instance',
          'Better performance under load',
        ],
        implementation: [
          'Deploy Redis or Memcached cluster',
          'Implement cache-aside pattern',
          'Add cache warming strategies',
          'Monitor cache hit/miss ratios',
        ],
        priority: 'high',
        timeframe: 'short_term',
      },
      {
        category: 'database',
        title: 'Database Optimization and Sharding',
        description: 'Optimize database operations and implement horizontal partitioning',
        benefits: [
          'Improved query performance',
          'Better resource utilization',
          'Horizontal scalability',
          'Reduced single points of failure',
        ],
        implementation: [
          'Analyze and optimize slow queries',
          'Implement read replicas',
          'Design sharding strategy',
          'Use connection pooling',
        ],
        priority: 'high',
        timeframe: 'medium_term',
      },
      {
        category: 'api_design',
        title: 'RESTful API with Rate Limiting',
        description: 'Design scalable APIs with proper rate limiting and pagination',
        benefits: [
          'Protection against abuse',
          'Fair resource allocation',
          'Improved system stability',
          'Better user experience',
        ],
        implementation: [
          'Implement token bucket algorithm',
          'Add request/response compression',
          'Use pagination for large datasets',
          'Implement API versioning',
        ],
        priority: 'medium',
        timeframe: 'short_term',
      },
      {
        category: 'deployment',
        title: 'Container Orchestration',
        description: 'Deploy using Kubernetes or Docker Swarm for auto-scaling',
        benefits: [
          'Automatic scaling based on load',
          'Zero-downtime deployments',
          'Better resource utilization',
          'Improved fault tolerance',
        ],
        implementation: [
          'Containerize all services',
          'Configure horizontal pod autoscaler',
          'Implement health checks',
          'Set up CI/CD pipelines',
        ],
        priority: 'high',
        timeframe: 'medium_term',
      },
      {
        category: 'monitoring',
        title: 'Comprehensive Observability',
        description: 'Implement metrics, logging, and tracing for distributed systems',
        benefits: [
          'Real-time performance monitoring',
          'Faster incident resolution',
          'Proactive issue detection',
          'Data-driven scaling decisions',
        ],
        implementation: [
          'Deploy Prometheus and Grafana',
          'Implement distributed tracing',
          'Set up log aggregation',
          'Create alerting rules',
        ],
        priority: 'medium',
        timeframe: 'short_term',
      },
    ];
  }

  /**
   * Calculate scalability metrics
   */
  private calculateScalabilityMetrics(): ScalabilityMetrics {
    const singletonCount = this.issues.filter(i => i.type === 'singleton').length;
    const globalStateUsage = this.issues.filter(i => i.type === 'global_state').length;
    const blockingOperations = this.issues.filter(i => i.type === 'blocking_operation').length;
    const statefulComponents = this.issues.filter(i => i.type === 'non_stateless').length;

    // Calculate code complexity (simplified metric)
    const codeComplexity =
      this.sourceFiles.length > 0
        ? Math.min(100, (this.issues.length / this.sourceFiles.length) * 100)
        : 0;

    // Identify caching opportunities
    const cachingOpportunities = this.issues.filter(
      i => i.description.includes('memory') || i.description.includes('blocking')
    ).length;

    // Calculate overall scalability score (0-100, higher is better)
    const maxPossibleIssues = this.sourceFiles.length * 2; // Assume 2 issues per file max
    const actualIssues = this.issues.length;
    const scalabilityScore = Math.max(
      0,
      100 - (actualIssues / Math.max(maxPossibleIssues, 1)) * 100
    );

    return {
      codeComplexity,
      singletonCount,
      globalStateUsage,
      blockingOperations,
      cachingOpportunities,
      statefulComponents,
      scalabilityScore: Math.round(scalabilityScore),
    };
  }

  /**
   * Generate migration plan
   */
  private generateMigrationPlan(): string[] {
    const plan: string[] = [];

    // Sort issues by priority
    const sortedIssues = [...this.issues].sort((a, b) => b.priority - a.priority);
    const highPriorityIssues = sortedIssues.filter(i => i.priority >= 8);

    plan.push('🚀 SCALABILITY MIGRATION PLAN');
    plan.push('================================');
    plan.push('');

    // Phase 1: Critical Issues
    if (highPriorityIssues.length > 0) {
      plan.push('📅 PHASE 1: Critical Scalability Issues (Week 1-2)');
      plan.push('• Fix singleton patterns and global state');
      plan.push('• Implement dependency injection');
      plan.push('• Convert blocking operations to async');
      plan.push('');
    }

    // Phase 2: Architecture
    plan.push('📅 PHASE 2: Architecture Refactoring (Week 3-6)');
    plan.push('• Implement user/session context isolation');
    plan.push('• Add distributed caching layer');
    plan.push('• Refactor stateful components');
    plan.push('• Implement API rate limiting');
    plan.push('');

    // Phase 3: Infrastructure
    plan.push('📅 PHASE 3: Infrastructure Setup (Week 7-10)');
    plan.push('• Set up container orchestration');
    plan.push('• Implement database sharding');
    plan.push('• Deploy monitoring and observability');
    plan.push('• Add auto-scaling configuration');
    plan.push('');

    // Phase 4: Optimization
    plan.push('📅 PHASE 4: Performance Optimization (Week 11-12)');
    plan.push('• Optimize database queries');
    plan.push('• Implement connection pooling');
    plan.push('• Add performance testing');
    plan.push('• Fine-tune scaling parameters');

    return plan;
  }

  /**
   * Generate architectural blueprints
   */
  private async generateArchitecturalBlueprints(): Promise<void> {
    await this.generateMicroservicesBlueprint();
    await this.generateCachingArchitecture();
    await this.generateDatabaseArchitecture();
    await this.generateDeploymentConfiguration();
  }

  /**
   * Generate microservices blueprint
   */
  private async generateMicroservicesBlueprint(): Promise<void> {
    const blueprint = `# Microservices Architecture Blueprint

## Service Decomposition

### Core Services
1. **User Management Service**
   - Authentication and authorization
   - User profiles and preferences
   - Session management

2. **Model Management Service**
   - LLM model orchestration
   - Model performance monitoring
   - Load balancing across models

3. **Code Generation Service**
   - Code synthesis and analysis
   - Template management
   - Quality assessment

4. **Workflow Orchestration Service**
   - Multi-step workflow execution
   - Agent coordination
   - Task scheduling

5. **File Management Service**
   - Project file operations
   - Version control integration
   - Collaborative editing

### Communication Patterns

\`\`\`
┌─────────────────┐    ┌─────────────────┐
│   API Gateway   │────│ Load Balancer   │
└─────────────────┘    └─────────────────┘
         │                      │
    ┌────┴────┐              ┌──┴──┐
    │ Service │              │Cache│
    │Registry │              │     │
    └─────────┘              └─────┘
         │
    ┌────┴─────────────────────────────┐
    │                                  │
┌───▼───┐ ┌─────────┐ ┌─────────┐ ┌───▼───┐
│User   │ │Model    │ │Code Gen │ │File   │
│Service│ │Service  │ │Service  │ │Service│
└───────┘ └─────────┘ └─────────┘ └───────┘
    │         │           │           │
    └─────────┼───────────┼───────────┘
              │           │
         ┌────▼───┐  ┌────▼────┐
         │Message │  │Database │
         │Queue   │  │Cluster  │
         └────────┘  └─────────┘
\`\`\`

### Technology Stack
- **API Gateway**: Kong or Istio
- **Service Mesh**: Istio or Linkerd
- **Message Queue**: RabbitMQ or Apache Kafka
- **Service Discovery**: Consul or etcd
- **Configuration**: Spring Cloud Config or Consul KV

## Implementation Steps

1. Identify service boundaries
2. Extract services incrementally
3. Implement service communication
4. Add monitoring and observability
5. Test and validate performance
`;

    await this.writeBlueprint('docs/architecture/microservices-blueprint.md', blueprint);
  }

  /**
   * Generate caching architecture
   */
  private async generateCachingArchitecture(): Promise<void> {
    const architecture = `# Distributed Caching Architecture

## Cache Layers

### L1: Application Cache (In-Memory)
- **Purpose**: Frequently accessed data with low latency
- **Technology**: Node.js Map/LRU Cache
- **TTL**: 1-5 minutes
- **Size Limit**: 100MB per instance

### L2: Distributed Cache (Redis)
- **Purpose**: Shared cache across all instances
- **Technology**: Redis Cluster
- **TTL**: 1-60 minutes
- **Size Limit**: 8GB total

### L3: Database Cache
- **Purpose**: Complex query results
- **Technology**: PostgreSQL + Redis
- **TTL**: 5-120 minutes

## Cache Patterns

### Cache-Aside Pattern
\`\`\`typescript
async function getData(key: string) {
  // Try L1 cache
  let data = l1Cache.get(key);
  if (data) return data;
  
  // Try L2 cache
  data = await redis.get(key);
  if (data) {
    l1Cache.set(key, data, 300); // 5min TTL
    return data;
  }
  
  // Fallback to database
  data = await database.query(key);
  await redis.setex(key, 1800, data); // 30min TTL
  l1Cache.set(key, data, 300);
  return data;
}
\`\`\`

### Write-Through Pattern
\`\`\`typescript
async function updateData(key: string, data: any) {
  // Update database
  await database.update(key, data);
  
  // Update caches
  await redis.setex(key, 1800, data);
  l1Cache.set(key, data, 300);
}
\`\`\`

## Cache Configuration

### Redis Cluster Setup
\`\`\`yaml
# redis-cluster.yml
apiVersion: v1
kind: ConfigMap
metadata:
  name: redis-config
data:
  redis.conf: |
    cluster-enabled yes
    cluster-config-file nodes.conf
    cluster-node-timeout 5000
    appendonly yes
    maxmemory 2gb
    maxmemory-policy allkeys-lru
\`\`\`

## Monitoring and Metrics
- Cache hit/miss ratios
- Memory usage per cache layer
- Response times by cache layer
- Cache eviction rates
`;

    await this.writeBlueprint('docs/architecture/caching-architecture.md', architecture);
  }

  /**
   * Generate database architecture
   */
  private async generateDatabaseArchitecture(): Promise<void> {
    const architecture = `# Database Architecture for Scale

## Database Topology

### Master-Slave Replication
\`\`\`
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Master    │────│   Slave 1   │────│   Slave 2   │
│ (Write/Read)│    │ (Read Only) │    │ (Read Only) │
└─────────────┘    └─────────────┘    └─────────────┘
       │                  │                  │
       └──────────────────┼──────────────────┘
                          │
                   ┌─────────────┐
                   │Load Balancer│
                   │(Read Queries)│
                   └─────────────┘
\`\`\`

### Sharding Strategy

#### User-Based Sharding
\`\`\`
Hash(user_id) % num_shards = shard_id

Shard 1: Users 0-999
Shard 2: Users 1000-1999  
Shard 3: Users 2000-2999
\`\`\`

#### Feature-Based Sharding
- **User Data**: Shard A
- **Project Data**: Shard B  
- **Model Data**: Shard C
- **Analytics**: Shard D

## Connection Pooling

### PgBouncer Configuration
\`\`\`ini
[databases]
codecrucible = host=db-master port=5432 dbname=codecrucible

[pgbouncer]
pool_mode = transaction
max_client_conn = 1000
default_pool_size = 25
server_reset_query = DISCARD ALL
\`\`\`

### Application Pool Settings
\`\`\`typescript
const pool = new Pool({
  host: 'localhost',
  port: 5432,
  database: 'codecrucible',
  user: 'app_user',
  password: process.env.DB_PASSWORD,
  max: 20, // Maximum pool size
  min: 5,  // Minimum pool size
  idle: 30000, // 30 seconds
  acquire: 60000, // 60 seconds
  evict: 180000 // 3 minutes
});
\`\`\`

## Query Optimization

### Indexing Strategy
\`\`\`sql
-- User queries
CREATE INDEX CONCURRENTLY idx_users_email ON users(email);
CREATE INDEX CONCURRENTLY idx_users_created_at ON users(created_at);

-- Project queries  
CREATE INDEX CONCURRENTLY idx_projects_user_id ON projects(user_id);
CREATE INDEX CONCURRENTLY idx_projects_status ON projects(status) WHERE status IN ('active', 'pending');

-- Session queries
CREATE INDEX CONCURRENTLY idx_sessions_user_id_created ON sessions(user_id, created_at);
\`\`\`

### Partitioning
\`\`\`sql
-- Time-based partitioning for logs
CREATE TABLE activity_logs (
    id SERIAL,
    user_id INTEGER,
    action VARCHAR(100),
    created_at TIMESTAMP
) PARTITION BY RANGE (created_at);

CREATE TABLE activity_logs_2024_01 PARTITION OF activity_logs
    FOR VALUES FROM ('2024-01-01') TO ('2024-02-01');
\`\`\`

## Backup and Recovery

### Automated Backups
\`\`\`bash
#!/bin/bash
# daily-backup.sh
pg_dump -h db-master -U backup_user codecrucible | \
gzip > /backups/codecrucible-$(date +%Y%m%d).sql.gz

# Keep 30 days of backups
find /backups -name "codecrucible-*.sql.gz" -mtime +30 -delete
\`\`\`

### Point-in-Time Recovery
- WAL archiving enabled
- Base backups every 24 hours
- Transaction log backup every 15 minutes
`;

    await this.writeBlueprint('docs/architecture/database-architecture.md', architecture);
  }

  /**
   * Generate deployment configuration
   */
  private async generateDeploymentConfiguration(): Promise<void> {
    const config = `# Kubernetes Deployment Configuration

## Namespace
\`\`\`yaml
apiVersion: v1
kind: Namespace
metadata:
  name: codecrucible
\`\`\`

## ConfigMap
\`\`\`yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
  namespace: codecrucible
data:
  NODE_ENV: "production"
  REDIS_HOST: "redis-cluster"
  DB_HOST: "postgres-primary"
  LOG_LEVEL: "info"
\`\`\`

## Secrets
\`\`\`yaml
apiVersion: v1
kind: Secret
metadata:
  name: app-secrets
  namespace: codecrucible
type: Opaque
data:
  DB_PASSWORD: <base64-encoded-password>
  JWT_SECRET: <base64-encoded-secret>
  REDIS_PASSWORD: <base64-encoded-password>
\`\`\`

## Deployment
\`\`\`yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: codecrucible-api
  namespace: codecrucible
spec:
  replicas: 3
  selector:
    matchLabels:
      app: codecrucible-api
  template:
    metadata:
      labels:
        app: codecrucible-api
    spec:
      containers:
      - name: api
        image: codecrucible:latest
        ports:
        - containerPort: 3000
        env:
        - name: NODE_ENV
          valueFrom:
            configMapKeyRef:
              name: app-config
              key: NODE_ENV
        - name: DB_PASSWORD
          valueFrom:
            secretKeyRef:
              name: app-secrets
              key: DB_PASSWORD
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 3000
          initialDelaySeconds: 30
          periodSeconds: 30
        readinessProbe:
          httpGet:
            path: /ready
            port: 3000
          initialDelaySeconds: 5
          periodSeconds: 10
\`\`\`

## Service
\`\`\`yaml
apiVersion: v1
kind: Service
metadata:
  name: codecrucible-service
  namespace: codecrucible
spec:
  selector:
    app: codecrucible-api
  ports:
  - protocol: TCP
    port: 80
    targetPort: 3000
  type: ClusterIP
\`\`\`

## Horizontal Pod Autoscaler
\`\`\`yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: codecrucible-hpa
  namespace: codecrucible
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: codecrucible-api
  minReplicas: 3
  maxReplicas: 50
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80
\`\`\`

## Ingress
\`\`\`yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: codecrucible-ingress
  namespace: codecrucible
  annotations:
    kubernetes.io/ingress.class: nginx
    cert-manager.io/cluster-issuer: letsencrypt-prod
    nginx.ingress.kubernetes.io/rate-limit: "100"
spec:
  tls:
  - hosts:
    - api.codecrucible.com
    secretName: codecrucible-tls
  rules:
  - host: api.codecrucible.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: codecrucible-service
            port:
              number: 80
\`\`\`

## Network Policy
\`\`\`yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: codecrucible-netpol
  namespace: codecrucible
spec:
  podSelector:
    matchLabels:
      app: codecrucible-api
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: ingress-nginx
    ports:
    - protocol: TCP
      port: 3000
  egress:
  - to:
    - namespaceSelector:
        matchLabels:
          name: kube-system
    ports:
    - protocol: TCP
      port: 53
    - protocol: UDP
      port: 53
\`\`\`
`;

    await this.writeBlueprint('docs/deployment/kubernetes-config.md', config);
  }

  /**
   * Write blueprint to file
   */
  private async writeBlueprint(filePath: string, content: string): Promise<void> {
    try {
      await fs.mkdir('docs/architecture', { recursive: true });
      await fs.mkdir('docs/deployment', { recursive: true });
      await fs.writeFile(filePath, content);
      logger.info(`📋 Generated blueprint: ${filePath}`);
    } catch (error) {
      logger.error(`Failed to write blueprint ${filePath}:`, error);
    }
  }

  /**
   * Generate comprehensive report
   */
  generateReport(): string {
    const metrics = this.calculateScalabilityMetrics();

    let report = `
🏗️ SCALABILITY ARCHITECTURE ANALYSIS REPORT
===========================================

SCALABILITY METRICS:
• Overall Score: ${metrics.scalabilityScore}/100
• Code Complexity: ${metrics.codeComplexity.toFixed(1)}%
• Singleton Patterns: ${metrics.singletonCount}
• Global State Usage: ${metrics.globalStateUsage}
• Blocking Operations: ${metrics.blockingOperations}
• Stateful Components: ${metrics.statefulComponents}
• Caching Opportunities: ${metrics.cachingOpportunities}

`;

    // Issues by severity
    const issuesBySeverity = new Map<string, ScalabilityIssue[]>();
    for (const issue of this.issues) {
      if (!issuesBySeverity.has(issue.severity)) {
        issuesBySeverity.set(issue.severity, []);
      }
      issuesBySeverity.get(issue.severity)!.push(issue);
    }

    if (this.issues.length > 0) {
      report += 'SCALABILITY ISSUES:\n';
      report += `${'─'.repeat(50)}\n`;

      for (const [severity, issues] of issuesBySeverity) {
        const icon =
          severity === 'critical'
            ? '🚨'
            : severity === 'high'
              ? '🔴'
              : severity === 'medium'
                ? '🟡'
                : '🔵';

        report += `${icon} ${severity.toUpperCase()} (${issues.length}):\n`;

        // Show top issues by priority
        const topIssues = issues.sort((a, b) => b.priority - a.priority).slice(0, 5);

        for (const issue of topIssues) {
          report += `  • ${issue.file}:${issue.line} - ${issue.description}\n`;
          report += `    💡 ${issue.solution}\n`;
          report += `    📊 Impact: ${issue.impact}\n`;
        }

        if (issues.length > 5) {
          report += `    ... and ${issues.length - 5} more\n`;
        }
        report += '\n';
      }
    }

    // Recommendations by category
    const recsByCategory = new Map<string, ScalabilityRecommendation[]>();
    for (const rec of this.recommendations) {
      if (!recsByCategory.has(rec.category)) {
        recsByCategory.set(rec.category, []);
      }
      recsByCategory.get(rec.category)!.push(rec);
    }

    report += 'ARCHITECTURAL RECOMMENDATIONS:\n';
    report += `${'─'.repeat(50)}\n`;

    for (const [category, recs] of recsByCategory) {
      const icon =
        category === 'architecture'
          ? '🏗️'
          : category === 'caching'
            ? '💾'
            : category === 'database'
              ? '🗄️'
              : category === 'api_design'
                ? '🔌'
                : category === 'deployment'
                  ? '🚀'
                  : '📊';

      report += `${icon} ${category.replace('_', ' ').toUpperCase()}:\n`;

      for (const rec of recs) {
        const priority =
          rec.priority === 'critical'
            ? '🚨'
            : rec.priority === 'high'
              ? '🔴'
              : rec.priority === 'medium'
                ? '🟡'
                : '🔵';

        report += `  ${priority} ${rec.title} (${rec.timeframe})\n`;
        report += `     📝 ${rec.description}\n`;
        report += `     🎯 Benefits: ${rec.benefits[0]}\n`;
      }
      report += '\n';
    }

    // Performance impact estimate
    const criticalIssues = this.issues.filter(i => i.severity === 'critical').length;
    const highIssues = this.issues.filter(i => i.severity === 'high').length;

    if (criticalIssues > 0 || highIssues > 0) {
      report += '⚡ PERFORMANCE IMPACT:\n';
      report += `${'─'.repeat(50)}\n`;
      report += `• Current architecture can handle ~${this.estimateUserCapacity()} concurrent users\n`;
      report += `• After optimization: ~${this.estimateOptimizedCapacity()} concurrent users\n`;
      report += `• Expected improvement: ${Math.round((this.estimateOptimizedCapacity() / this.estimateUserCapacity() - 1) * 100)}%\n\n`;
    }

    return report;
  }

  /**
   * Estimate current user capacity
   */
  private estimateUserCapacity(): number {
    // Base capacity of 100 users
    let capacity = 100;

    // Reduce for each scalability issue
    const criticalIssues = this.issues.filter(i => i.severity === 'critical').length;
    const highIssues = this.issues.filter(i => i.severity === 'high').length;

    capacity -= criticalIssues * 30; // Critical issues reduce by 30 users each
    capacity -= highIssues * 15; // High issues reduce by 15 users each

    return Math.max(10, capacity); // Minimum 10 users
  }

  /**
   * Estimate optimized capacity after fixes
   */
  private estimateOptimizedCapacity(): number {
    // With optimizations, estimate 10x improvement
    return this.estimateUserCapacity() * 10;
  }

  /**
   * Apply automatic fixes where possible
   */
  async applyAutomaticFixes(): Promise<{ fixed: number; failed: number }> {
    let fixed = 0;
    let failed = 0;

    // Focus on low-effort, high-impact fixes
    const autoFixableIssues = this.issues.filter(
      i => i.estimatedEffort === 'low' && i.priority >= 6
    );

    for (const issue of autoFixableIssues) {
      try {
        if (issue.type === 'hardcoded_limits') {
          await this.fixHardcodedLimits(issue);
          fixed++;
        } else if (issue.type === 'blocking_operation') {
          await this.addAsyncComment(issue);
          fixed++;
        }
      } catch (error) {
        failed++;
        logger.error(`Failed to fix issue in ${issue.file}:`, error);
      }
    }

    return { fixed, failed };
  }

  /**
   * Fix hardcoded limits by making them configurable
   */
  private async fixHardcodedLimits(issue: ScalabilityIssue): Promise<void> {
    const content = await fs.readFile(issue.file, 'utf-8');
    const lines = content.split('\n');
    const line = lines[issue.line - 1];

    // Add configuration comment
    const indent = line.match(/^\s*/)?.[0] || '';
    lines.splice(
      issue.line - 1,
      0,
      `${indent}// TODO: Make this limit configurable via environment variable`
    );

    await fs.writeFile(issue.file, lines.join('\n'));
    logger.info(`✅ Added configuration comment to ${issue.file}:${issue.line}`);
  }

  /**
   * Add async conversion comment
   */
  private async addAsyncComment(issue: ScalabilityIssue): Promise<void> {
    const content = await fs.readFile(issue.file, 'utf-8');
    const lines = content.split('\n');

    const indent = lines[issue.line - 1].match(/^\s*/)?.[0] || '';
    lines.splice(
      issue.line - 1,
      0,
      `${indent}// TODO: Convert to async operation for better scalability`
    );

    await fs.writeFile(issue.file, lines.join('\n'));
    logger.info(`✅ Added async comment to ${issue.file}:${issue.line}`);
  }

  /**
   * Dispose of the scalability system
   */
  dispose(): void {
    this.issues = [];
    this.recommendations = [];
    this.sourceFiles = [];
    this.removeAllListeners();
    logger.info('🗑️ Scalability architecture system disposed');
  }
}

// CLI usage
if (import.meta.url === `file://${process.argv[1]}`) {
  const scalabilitySystem = new ScalabilityArchitectureSystem();

  scalabilitySystem
    .analyzeScalability()
    .then(result => {
      console.log(scalabilitySystem.generateReport());

      console.log('\n📋 MIGRATION PLAN:');
      for (const step of result.migrationPlan) {
        console.log(step);
      }

      if (result.issues.length > 0) {
        console.log(`\n🔧 Found ${result.issues.length} scalability issues to address`);
        console.log(`📊 Current scalability score: ${result.metrics.scalabilityScore}/100`);
      } else {
        console.log('\n✅ Architecture is ready for scale!');
      }
    })
    .finally(() => {
      scalabilitySystem.dispose();
    })
    .catch(error => {
      console.error('Scalability analysis failed:', error);
      scalabilitySystem.dispose();
      process.exit(1);
    });
}