# SLURP Encrypted Context Storage Architecture

This package implements the complete encrypted context storage architecture for the SLURP (Storage, Logic, Understanding, Retrieval, Processing) system, providing production-ready storage capabilities with multi-tier architecture, role-based encryption, and comprehensive monitoring.

## Architecture Overview

The storage architecture consists of several key components working together to provide a robust, scalable, and secure storage system:

```
┌─────────────────────────────────────────────────────────────────────────────────┐
│                            SLURP Storage Architecture                           │
├─────────────────────────────────────────────────────────────────────────────────┤
│  ┌─────────────────┐  ┌──────────────────┐  ┌─────────────────────────────────┐ │
│  │   Application   │  │   Intelligence   │  │         Leader                  │ │
│  │    Layer        │  │     Engine       │  │       Manager                   │ │
│  └─────────────────┘  └──────────────────┘  └─────────────────────────────────┘ │
├─────────────────────────────────────────────────────────────────────────────────┤
│                           ContextStore Interface                               │
├─────────────────────────────────────────────────────────────────────────────────┤
│  ┌─────────────────┐  ┌──────────────────┐  ┌─────────────────────────────────┐ │
│  │  Encrypted      │  │   Cache          │  │        Index                    │ │
│  │  Storage        │  │   Manager        │  │       Manager                   │ │
│  └─────────────────┘  └──────────────────┘  └─────────────────────────────────┘ │
├─────────────────────────────────────────────────────────────────────────────────┤
│  ┌─────────────────┐  ┌──────────────────┐  ┌─────────────────────────────────┐ │
│  │   Local         │  │   Distributed    │  │       Backup                    │ │
│  │   Storage       │  │    Storage       │  │      Manager                    │ │
│  └─────────────────┘  └──────────────────┘  └─────────────────────────────────┘ │
├─────────────────────────────────────────────────────────────────────────────────┤
│  ┌─────────────────────────────────────────────────────────────────────────────┐ │
│  │                        Monitoring System                                   │ │
│  └─────────────────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────────┘
```

## Core Components

### 1. Context Store (`context_store.go`)
The main orchestrator that coordinates between all storage layers:
- **Multi-tier storage** with local and distributed backends
- **Role-based access control** with transparent encryption/decryption
- **Automatic caching** with configurable TTL and eviction policies
- **Search indexing** integration for fast context retrieval
- **Batch operations** for efficient bulk processing
- **Background processes** for sync, compaction, and cleanup

### 2. Encrypted Storage (`encrypted_storage.go`)
Role-based encrypted storage with enterprise-grade security:
- **Per-role encryption** using the existing BZZZ crypto system
- **Key rotation** with automatic re-encryption
- **Access control validation** with audit logging
- **Encryption metrics** tracking for performance monitoring
- **Key fingerprinting** for integrity verification

### 3. Local Storage (`local_storage.go`)
High-performance local storage using LevelDB:
- **LevelDB backend** with optimized configuration
- **Compression support** with automatic size optimization
- **TTL support** for automatic data expiration
- **Background compaction** for storage optimization
- **Metrics collection** for performance monitoring

### 4. Distributed Storage (`distributed_storage.go`)
DHT-based distributed storage with consensus:
- **Consistent hashing** for data distribution
- **Replication** with configurable replication factor
- **Consensus protocols** for consistency guarantees
- **Node health monitoring** with automatic failover
- **Rebalancing** for optimal data distribution

### 5. Cache Manager (`cache_manager.go`)
Redis-based high-performance caching:
- **Redis backend** with connection pooling
- **LRU/LFU eviction** policies
- **Compression** for large cache entries
- **TTL management** with refresh thresholds
- **Hit/miss metrics** for performance analysis

### 6. Index Manager (`index_manager.go`)
Full-text search using Bleve:
- **Multiple indexes** with different configurations
- **Full-text search** with highlighting and faceting
- **Index optimization** with background maintenance
- **Query performance** tracking and optimization
- **Index rebuild** capabilities for data recovery

### 7. Database Schema (`schema.go`)
Comprehensive database schema for all storage needs:
- **Context records** with versioning and metadata
- **Encrypted context records** with role-based access
- **Hierarchy relationships** for context inheritance
- **Decision hop tracking** for temporal analysis
- **Access control records** with permission management
- **Search indexes** with performance optimization
- **Backup metadata** with integrity verification

### 8. Monitoring System (`monitoring.go`)
Production-ready monitoring with Prometheus integration:
- **Comprehensive metrics** for all storage operations
- **Health checks** for system components
- **Alert management** with notification systems
- **Performance profiling** with bottleneck detection
- **Structured logging** with configurable output

### 9. Backup Manager (`backup_manager.go`)
Enterprise backup and recovery system:
- **Scheduled backups** with cron expressions
- **Incremental backups** for efficiency
- **Backup validation** with integrity checks
- **Encryption support** for backup security
- **Retention policies** with automatic cleanup

### 10. Batch Operations (`batch_operations.go`)
Optimized bulk operations:
- **Concurrent processing** with configurable worker pools
- **Error handling** with partial failure support
- **Progress tracking** for long-running operations
- **Transaction support** for consistency
- **Resource optimization** for large datasets

## Key Features

### Security
- **Role-based encryption** at the storage layer
- **Key rotation** with zero-downtime re-encryption
- **Access audit logging** for compliance
- **Secure key management** integration
- **Encryption performance** optimization

### Performance
- **Multi-tier caching** with Redis and in-memory layers
- **Batch operations** for bulk processing efficiency
- **Connection pooling** for database connections
- **Background optimization** with compaction and indexing
- **Query optimization** with proper indexing strategies

### Reliability
- **Distributed replication** with consensus protocols
- **Automatic failover** with health monitoring
- **Data consistency** guarantees across the cluster
- **Backup and recovery** with point-in-time restore
- **Error handling** with graceful degradation

### Monitoring
- **Prometheus metrics** for operational visibility
- **Health checks** for proactive monitoring
- **Performance profiling** for optimization insights
- **Structured logging** for debugging and analysis
- **Alert management** with notification systems

### Scalability
- **Horizontal scaling** with distributed storage
- **Consistent hashing** for data distribution
- **Load balancing** across storage nodes
- **Resource optimization** with compression and caching
- **Connection management** with pooling and limits

## Configuration

### Context Store Options
```go
type ContextStoreOptions struct {
    PreferLocal         bool          // Prefer local storage for reads
    AutoReplicate       bool          // Automatically replicate to distributed storage
    DefaultReplicas     int           // Default replication factor
    EncryptionEnabled   bool          // Enable role-based encryption
    CompressionEnabled  bool          // Enable data compression
    CachingEnabled      bool          // Enable caching layer
    CacheTTL            time.Duration // Default cache TTL
    IndexingEnabled     bool          // Enable search indexing
    SyncInterval        time.Duration // Sync with distributed storage interval
    CompactionInterval  time.Duration // Local storage compaction interval
    CleanupInterval     time.Duration // Cleanup expired data interval
    BatchSize           int           // Default batch operation size
    MaxConcurrentOps    int           // Maximum concurrent operations
    OperationTimeout    time.Duration // Default operation timeout
}
```

### Performance Tuning
- **Cache size**: Configure based on available memory
- **Replication factor**: Balance between consistency and performance
- **Batch sizes**: Optimize for your typical workload
- **Timeout values**: Set appropriate timeouts for your network
- **Background intervals**: Balance between performance and resource usage

## Integration with BZZZ Systems

### DHT Integration
The distributed storage layer integrates seamlessly with the existing BZZZ DHT system:
- Uses existing node discovery and communication protocols
- Leverages consistent hashing algorithms
- Integrates with leader election for coordination

### Crypto Integration
The encryption layer uses the existing BZZZ crypto system:
- Role-based key management
- Shamir's Secret Sharing for key distribution
- Age encryption for data protection
- Audit logging for access tracking

### Election Integration
The leader coordination uses existing election systems:
- Context generation coordination
- Backup scheduling management
- Cluster-wide maintenance operations

## Usage Examples

### Basic Context Storage
```go
// Create context store
store := NewContextStore(nodeID, localStorage, distributedStorage, 
    encryptedStorage, cacheManager, indexManager, backupManager, 
    eventNotifier, options)

// Store a context
err := store.StoreContext(ctx, contextNode, []string{"developer", "architect"})

// Retrieve a context
context, err := store.RetrieveContext(ctx, ucxlAddress, "developer")

// Search contexts
results, err := store.SearchContexts(ctx, &SearchQuery{
    Query: "authentication system",
    Tags:  []string{"security", "backend"},
    Limit: 10,
})
```

### Batch Operations
```go
// Batch store multiple contexts
batch := &BatchStoreRequest{
    Contexts: []*ContextStoreItem{
        {Context: context1, Roles: []string{"developer"}},
        {Context: context2, Roles: []string{"architect"}},
    },
    Roles: []string{"developer"}, // Default roles
    FailOnError: false,
}

result, err := store.BatchStore(ctx, batch)
```

### Backup Management
```go
// Create a backup
backupConfig := &BackupConfig{
    Name: "daily-backup",
    Destination: "/backups/contexts",
    IncludeIndexes: true,
    IncludeCache: false,
    Encryption: true,
    Retention: 30 * 24 * time.Hour,
}

backupInfo, err := backupManager.CreateBackup(ctx, backupConfig)

// Schedule automatic backups
schedule := &BackupSchedule{
    ID: "daily-schedule",
    Name: "Daily Backup",
    Cron: "0 2 * * *", // Daily at 2 AM
    BackupConfig: backupConfig,
    Enabled: true,
}

err = backupManager.ScheduleBackup(ctx, schedule)
```

## Monitoring and Alerts

### Prometheus Metrics
The system exports comprehensive metrics to Prometheus:
- Operation counters and latencies
- Error rates and types
- Cache hit/miss ratios
- Storage size and utilization
- Replication health
- Encryption performance

### Health Checks
Built-in health checks monitor:
- Storage backend connectivity
- Cache system availability
- Index system health
- Distributed node connectivity
- Encryption system status

### Alert Rules
Pre-configured alert rules for:
- High error rates
- Storage capacity issues
- Replication failures
- Performance degradation
- Security violations

## Security Considerations

### Data Protection
- All context data is encrypted at rest using role-based keys
- Key rotation is performed automatically without service interruption
- Access is strictly controlled and audited
- Backup data is encrypted with separate keys

### Access Control
- Role-based access control at the storage layer
- Fine-grained permissions for different operations
- Access audit logging for compliance
- Time-based and IP-based access restrictions

### Network Security
- All distributed communications use encrypted channels
- Node authentication and authorization
- Protection against replay attacks
- Secure key distribution using Shamir's Secret Sharing

## Performance Characteristics

### Throughput
- **Local operations**: Sub-millisecond latency
- **Cached operations**: 1-2ms latency
- **Distributed operations**: 10-50ms latency (network dependent)
- **Search operations**: 5-20ms latency (index size dependent)

### Scalability
- **Horizontal scaling**: Linear scaling with additional nodes
- **Storage capacity**: Petabyte-scale with proper cluster sizing
- **Concurrent operations**: Thousands of concurrent requests
- **Search performance**: Sub-second for most queries

### Resource Usage
- **Memory**: Configurable cache sizes, typically 1-8GB per node
- **Disk**: Local storage with compression, network replication
- **CPU**: Optimized for multi-core systems with worker pools
- **Network**: Efficient data distribution with minimal overhead

## Future Enhancements

### Planned Features
- **Geo-replication** for multi-region deployments
- **Query optimization** with machine learning insights
- **Advanced analytics** for context usage patterns
- **Integration APIs** for third-party systems
- **Performance auto-tuning** based on workload patterns

### Extensibility
The architecture is designed for extensibility:
- Plugin system for custom storage backends
- Configurable encryption algorithms
- Custom index analyzers for domain-specific search
- Extensible monitoring and alerting systems
- Custom batch operation processors

This storage architecture provides a solid foundation for the SLURP contextual intelligence system, offering enterprise-grade features while maintaining high performance and scalability.