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rolodexter committed Nov 1, 2024
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# LN1 Storage System

## Overview

The LN1 Storage System implements a distributed, fault-tolerant storage architecture for legal documents across the network. This system leverages the 0G network infrastructure while providing advanced caching, replication, and data integrity mechanisms.

## Architecture

### Core Components

```python
class StorageManager:
def __init__(self):
self.document_store = DocumentStore()
self.metadata_store = MetadataStore()
self.cache_manager = CacheManager()
self.replication_manager = ReplicationManager()
```

### Storage Layers

1. **Primary Storage**
- 0G network integration
- Distributed hash table
- Content-addressable storage

2. **Cache Layer**
- In-memory cache
- Local disk cache
- Network cache

## Data Organization

### Document Structure

```typescript
interface StoredDocument {
id: string;
content: {
raw: Buffer;
encrypted: Buffer;
};
metadata: {
size: number;
hash: string;
timestamp: string;
version: string;
};
storage: {
locations: string[];
replicas: number;
status: string;
}
}
```

### Partitioning Strategy

```python
class PartitionManager:
def determine_partition(self, document):
return {
'jurisdiction': document.metadata.jurisdiction,
'year': document.metadata.date.year,
'category': document.metadata.category,
'shard': self.calculate_shard(document)
}
```

## Storage Operations

### Document Storage

```python
class DocumentStore:
async def store_document(self, document):
# Prepare document
prepared = await self.prepare_document(document)

# Store in primary storage
storage_id = await self.primary_store.store(prepared)

# Update cache
await self.cache_manager.update(storage_id, prepared)

# Initiate replication
await self.replication_manager.replicate(storage_id, prepared)

return storage_id
```

### Retrieval Operations

```python
class DocumentRetriever:
async def retrieve_document(self, doc_id):
# Check cache first
if cached := await self.cache_manager.get(doc_id):
return cached

# Retrieve from primary storage
document = await self.primary_store.get(doc_id)

# Update cache
await self.cache_manager.set(doc_id, document)

return document
```

## Data Replication

### Replication Strategy

```python
class ReplicationManager:
def __init__(self):
self.replication_factor = 3
self.node_selector = NodeSelector()

async def replicate_document(self, document):
nodes = await self.node_selector.select_nodes(
count=self.replication_factor,
document=document
)
return await self.distribute_to_nodes(document, nodes)
```

### Consistency Management

```python
class ConsistencyManager:
async def ensure_consistency(self, document_id):
versions = await self.collect_versions(document_id)
if conflicts := self.detect_conflicts(versions):
return await self.resolve_conflicts(conflicts)
return True
```

## Performance Optimization

### Caching Strategy

```python
class CacheManager:
def __init__(self):
self.memory_cache = LRUCache(1000)
self.disk_cache = PersistentCache()
self.network_cache = DistributedCache()

async def get_document(self, doc_id):
# Multi-level cache implementation
return (
self.memory_cache.get(doc_id) or
await self.disk_cache.get(doc_id) or
await self.network_cache.get(doc_id)
)
```

### Resource Management

- Dynamic cache sizing
- Intelligent prefetching
- Load-based replication
- Adaptive compression

## Security Implementation

### Encryption

```python
class StorageEncryption:
def __init__(self):
self.key_manager = KeyManager()
self.cipher = AESCipher()

async def encrypt_document(self, document):
key = await self.key_manager.get_key()
return await self.cipher.encrypt(document, key)
```

### Access Control

```python
class AccessController:
async def verify_access(self, user, document):
permissions = await self.get_permissions(user)
return self.check_permission(permissions, document)
```

## Monitoring System

### Health Checks

```python
class StorageMonitor:
async def check_health(self):
return {
'storage_usage': await self.check_storage_usage(),
'replication_status': await self.check_replicas(),
'cache_health': await self.check_cache(),
'performance_metrics': await self.get_metrics()
}
```

### Performance Metrics

- Storage utilization
- Access latency
- Cache hit rates
- Replication status

## Error Handling

### Recovery Procedures

```python
class ErrorHandler:
async def handle_storage_error(self, error):
await self.log_error(error)
recovery_action = self.determine_recovery_action(error)
return await self.execute_recovery(recovery_action)
```

### Backup System

- Regular snapshots
- Incremental backups
- Point-in-time recovery
- Disaster recovery

## Integration Points

### External Systems

- 0G network interface
- Blockchain storage
- External APIs
- Monitoring systems

### Internal Components

```python
class StorageIntegration:
def __init__(self):
self.indexer = DocumentIndexer()
self.validator = ContentValidator()
self.curator = DataCurator()
```

## Best Practices

### Implementation Guidelines

1. **Data Organization**
- Use consistent naming conventions
- Implement proper versioning
- Maintain clear metadata
- Regular cleanup procedures

2. **Performance Optimization**
- Optimize cache settings
- Monitor resource usage
- Regular performance testing
- Load balancing
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