"""
Redis Caching Utility
Provides caching decorator and Redis connection management
"""
import json
import hashlib
from functools import wraps
from typing import Optional, Any
import logging

logger = logging.getLogger(__name__)

# Redis client (lazy initialization)
_redis_client: Optional[Any] = None


def get_redis_client():
    """Get Redis client instance (singleton with graceful fallback)"""
    global _redis_client
    
    if _redis_client is None:
        try:
            from redis import Redis
            _redis_client = Redis(
                host='localhost',
                port=6379,
                db=0,
                decode_responses=True,
                socket_connect_timeout=2,
                socket_timeout=2
            )
            # Test connection
            _redis_client.ping()
            logger.info("[CACHE] [SUCCESS] Redis connection established")
        except Exception as e:
            logger.warning(f"[CACHE] Redis not available: {e}. Caching disabled.")
            _redis_client = False  # Mark as unavailable to avoid retries
    
    return _redis_client if _redis_client is not False else None


def generate_cache_key(func_name: str, args: tuple, kwargs: dict) -> str:
    """Generate a unique cache key from function name and arguments"""
    # Convert args and kwargs to a stable string representation
    args_str = str(args)
    kwargs_str = str(sorted(kwargs.items()))
    combined = f"{func_name}:{args_str}:{kwargs_str}"
    
    # Hash for shorter keys (avoid Redis key length limits)
    key_hash = hashlib.md5(combined.encode()).hexdigest()
    return f"cache:{func_name}:{key_hash}"


def cache(ttl: int = 300):
    """
    Caching decorator with Redis backend
    
    Args:
        ttl: Time to live in seconds (default 5 minutes)
    
    Usage:
        @cache(ttl=60)
        def expensive_function(arg1, arg2):
            # ... expensive operation
            return result
    """
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            redis_client = get_redis_client()
            
            # If Redis is not available, execute function normally
            if redis_client is None:
                return func(*args, **kwargs)
            
            try:
                # Generate cache key
                cache_key = generate_cache_key(func.__name__, args, kwargs)
                
                # Try to get from cache
                cached_value = redis_client.get(cache_key)
                
                if cached_value is not None:
                    logger.debug(f"[CACHE] HIT: {func.__name__}")
                    return json.loads(cached_value)
                
                # Cache miss - execute function
                logger.debug(f"[CACHE] MISS: {func.__name__}")
                result = func(*args, **kwargs)
                
                # Store in cache
                try:
                    serialized = json.dumps(result, default=str)
                    redis_client.setex(cache_key, ttl, serialized)
                except (TypeError, ValueError) as e:
                    logger.warning(f"[CACHE] Failed to serialize result for {func.__name__}: {e}")
                
                return result
                
            except Exception as e:
                # If caching fails, log and execute function normally
                logger.warning(f"[CACHE] Error in cache decorator for {func.__name__}: {e}")
                return func(*args, **kwargs)
        
        return wrapper
    return decorator


def invalidate_cache(pattern: str = None):
    """
    Invalidate cache entries matching pattern
    
    Args:
        pattern: Redis key pattern (e.g., "cache:list_properties:*")
                If None, clears all cache entries
    """
    redis_client = get_redis_client()
    
    if redis_client is None:
        return
    
    try:
        if pattern:
            keys = redis_client.keys(pattern)
            if keys:
                redis_client.delete(*keys)
                logger.info(f"[CACHE] Invalidated {len(keys)} keys matching '{pattern}'")
        else:
            redis_client.flushdb()
            logger.info("[CACHE] Cleared all cache entries")
    except Exception as e:
        logger.error(f"[CACHE] Error invalidating cache: {e}")


def cache_property_data(property_id: str, data: dict, ttl: int = 300):
    """Cache property data manually (for fine-grained control)"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return
    
    try:
        cache_key = f"cache:property:{property_id}"
        redis_client.setex(cache_key, ttl, json.dumps(data, default=str))
        logger.debug(f"[CACHE] Cached property data: {property_id}")
    except Exception as e:
        logger.warning(f"[CACHE] Failed to cache property data: {e}")


def get_cached_property(property_id: str) -> Optional[dict]:
    """Get cached property data"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return None
    
    try:
        cache_key = f"cache:property:{property_id}"
        cached = redis_client.get(cache_key)
        if cached:
            return json.loads(cached)
    except Exception as e:
        logger.warning(f"[CACHE] Failed to get cached property: {e}")
    
    return None


def cache_xrp_balance(address: str, balance: float, ttl: int = 300):
    """Cache XRP balance for an address"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return
    
    try:
        cache_key = f"cache:xrp_balance:{address}"
        redis_client.setex(cache_key, ttl, str(balance))
        logger.debug(f"[CACHE] Cached XRP balance for {address}: {balance}")
    except Exception as e:
        logger.warning(f"[CACHE] Failed to cache XRP balance: {e}")


def get_cached_xrp_balance(address: str) -> Optional[float]:
    """Get cached XRP balance"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return None
    
    try:
        cache_key = f"cache:xrp_balance:{address}"
        cached = redis_client.get(cache_key)
        if cached:
            return float(cached)
    except Exception as e:
        logger.warning(f"[CACHE] Failed to get cached XRP balance: {e}")
    
    return None


def cache_token_balance(xrp_address: str, currency_code: str, issuer_address: str, balance: float, ttl: int = 300):
    """Cache IOU token balance for an address"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return
    
    try:
        cache_key = f"cache:token_balance:{xrp_address}:{currency_code}:{issuer_address}"
        redis_client.setex(cache_key, ttl, str(balance))
        logger.debug(f"[CACHE] Cached token balance for {xrp_address}: {balance} {currency_code}")
    except Exception as e:
        logger.warning(f"[CACHE] Failed to cache token balance: {e}")


def get_cached_token_balance(xrp_address: str, currency_code: str, issuer_address: str) -> Optional[float]:
    """Get cached IOU token balance"""
    redis_client = get_redis_client()
    
    if redis_client is None:
        return None
    
    try:
        cache_key = f"cache:token_balance:{xrp_address}:{currency_code}:{issuer_address}"
        cached = redis_client.get(cache_key)
        if cached:
            return float(cached)
    except Exception as e:
        logger.warning(f"[CACHE] Failed to get cached token balance: {e}")
    
    return None