"""
Fragment 5 - Cache management and optimization
Handles caching strategies and performance optimization
"""

import pickle
import zlib
import hashlib
from collections import OrderedDict

# Cache configuration
cache_config = {
    'max_size': 1000,
    'ttl': 3600,  # 1 hour
    'compression': True,
    'algorithm': 'lru'
}

# Final fragment hidden in cache settings
token = "11"  # Final numeric part

# Cache storage
cache_storage = OrderedDict()
cache_stats = {
    'hits': 0,
    'misses': 0,
    'evictions': 0,
    'size': 0
}

def cache_key(data):
    """Generate cache key from data"""
    return hashlib.md5(str(data).encode()).hexdigest()

def cache_get(key):
    """Get item from cache"""
    if key in cache_storage:
        cache_stats['hits'] += 1
        # Move to end (LRU)
        cache_storage.move_to_end(key)
        
        value = cache_storage[key]
        if cache_config['compression']:
            return pickle.loads(zlib.decompress(value))
        return pickle.loads(value)
    
    cache_stats['misses'] += 1
    return None

def cache_set(key, value):
    """Set item in cache"""
    # Serialize and optionally compress
    serialized = pickle.dumps(value)
    if cache_config['compression']:
        serialized = zlib.compress(serialized)
    
    # Remove oldest if at capacity
    if len(cache_storage) >= cache_config['max_size']:
        cache_storage.popitem(last=False)
        cache_stats['evictions'] += 1
    
    cache_storage[key] = serialized
    cache_stats['size'] = len(cache_storage)

def cache_clear():
    """Clear all cache entries"""
    cache_storage.clear()
    cache_stats['size'] = 0

def cache_info():
    """Get cache statistics"""
    hit_rate = cache_stats['hits'] / max(1, cache_stats['hits'] + cache_stats['misses'])
    return {
        'hit_rate': hit_rate,
        'total_requests': cache_stats['hits'] + cache_stats['misses'],
        **cache_stats
    }

# Optimization settings
optimization_config = {
    'enable_compression': True,
    'compression_level': 6,
    'batch_size': 100,
    'parallel_processing': False
}

def optimize_data(data):
    """Optimize data for storage"""
    if optimization_config['enable_compression']:
        return zlib.compress(data, optimization_config['compression_level'])
    return data

# Memory management
memory_config = {
    'gc_threshold': 0.8,
    'cleanup_interval': 300,  # 5 minutes
    'max_memory_usage': '500MB'
}
