Fix duplicate caching (#62)

* Fix duplicate/redundant caching issue

- Add get_background_cached_data() and is_background_data_available() methods to CacheManager
- Update sports managers to use background service cache instead of individual caching
- Ensure consistent cache key generation between background service and managers
- Eliminate redundant API calls by making Recent/Upcoming managers cache consumers
- Fix cache miss issues where TTL < update interval

This addresses GitHub issue #57 by implementing a cleaner caching architecture
where the background service is the primary data source and managers are cache consumers.

* Update remaining sports managers to use background service cache

- Update NHL managers to use background service cache
- Update NCAA Football managers to use background service cache
- Update NCAA Hockey managers to use background service cache
- Update MLB managers to use background service cache for Recent/Upcoming

All sports managers now use the new caching architecture to eliminate
duplicate caching and redundant API calls.

* cache improvements

* updated cache manager

src/background_cache_mixin.py

@@ -0,0 +1,134 @@
+"""
+Background Cache Mixin for Sports Managers
+
+This mixin provides common caching functionality to eliminate code duplication
+across all sports managers. It implements the background service cache pattern
+where Recent/Upcoming managers consume data from the background service cache.
+"""
+
+import time
+import logging
+from typing import Dict, Optional, Any, Callable
+from datetime import datetime
+import pytz
+
+
+class BackgroundCacheMixin:
+    """
+    Mixin class that provides background service cache functionality to sports managers.
+    
+    This mixin eliminates code duplication by providing a common implementation
+    for the background service cache pattern used across all sports managers.
+    """
+    
+    def _fetch_data_with_background_cache(self, 
+                                        sport_key: str, 
+                                        api_fetch_method: Callable,
+                                        live_manager_class: type = None) -> Optional[Dict]:
+        """
+        Common logic for fetching data with background service cache support.
+        
+        This method implements the background service cache pattern:
+        1. Live managers always fetch fresh data
+        2. Recent/Upcoming managers try background cache first
+        3. Fallback to direct API call if background data unavailable
+        
+        Args:
+            sport_key: Sport identifier (e.g., 'nba', 'nfl', 'ncaa_fb')
+            api_fetch_method: Method to call for direct API fetch
+            live_manager_class: Class to check if this is a live manager
+            
+        Returns:
+            Cached or fresh data from API
+        """
+        start_time = time.time()
+        cache_hit = False
+        cache_source = None
+        
+        try:
+            # For Live managers, always fetch fresh data
+            if live_manager_class and isinstance(self, live_manager_class):
+                self.logger.info(f"[{sport_key.upper()}] Live manager - fetching fresh data")
+                result = api_fetch_method(use_cache=False)
+                cache_source = "live_fresh"
+            else:
+                # For Recent/Upcoming managers, try background service cache first
+                cache_key = self.cache_manager.generate_sport_cache_key(sport_key)
+                
+                # Check if background service has fresh data
+                if self.cache_manager.is_background_data_available(cache_key, sport_key):
+                    cached_data = self.cache_manager.get_background_cached_data(cache_key, sport_key)
+                    if cached_data:
+                        self.logger.info(f"[{sport_key.upper()}] Using background service cache for {cache_key}")
+                        result = cached_data
+                        cache_hit = True
+                        cache_source = "background_cache"
+                    else:
+                        self.logger.warning(f"[{sport_key.upper()}] Background cache check passed but no data returned for {cache_key}")
+                        result = None
+                        cache_source = "background_miss"
+                else:
+                    self.logger.info(f"[{sport_key.upper()}] Background data not available for {cache_key}")
+                    result = None
+                    cache_source = "background_unavailable"
+                
+                # Fallback to direct API call if background data not available
+                if result is None:
+                    self.logger.info(f"[{sport_key.upper()}] Fetching directly from API for {cache_key}")
+                    result = api_fetch_method(use_cache=True)
+                    cache_source = "api_fallback"
+            
+            # Record performance metrics
+            duration = time.time() - start_time
+            self.cache_manager.record_fetch_time(duration)
+            
+            # Log performance metrics
+            self._log_fetch_performance(sport_key, duration, cache_hit, cache_source)
+            
+            return result
+            
+        except Exception as e:
+            duration = time.time() - start_time
+            self.logger.error(f"[{sport_key.upper()}] Error in background cache fetch after {duration:.2f}s: {e}")
+            self.cache_manager.record_fetch_time(duration)
+            raise
+    
+    def _log_fetch_performance(self, sport_key: str, duration: float, cache_hit: bool, cache_source: str):
+        """
+        Log detailed performance metrics for fetch operations.
+        
+        Args:
+            sport_key: Sport identifier
+            duration: Fetch operation duration in seconds
+            cache_hit: Whether this was a cache hit
+            cache_source: Source of the data (background_cache, api_fallback, etc.)
+        """
+        # Log basic performance info
+        self.logger.info(f"[{sport_key.upper()}] Fetch completed in {duration:.2f}s "
+                        f"(cache_hit={cache_hit}, source={cache_source})")
+        
+        # Log detailed metrics every 10 operations
+        if hasattr(self, '_fetch_count'):
+            self._fetch_count += 1
+        else:
+            self._fetch_count = 1
+            
+        if self._fetch_count % 10 == 0:
+            metrics = self.cache_manager.get_cache_metrics()
+            self.logger.info(f"[{sport_key.upper()}] Cache Performance Summary - "
+                           f"Hit Rate: {metrics['cache_hit_rate']:.2%}, "
+                           f"Background Hit Rate: {metrics['background_hit_rate']:.2%}, "
+                           f"API Calls Saved: {metrics['api_calls_saved']}")
+    
+    def get_cache_performance_summary(self) -> Dict[str, Any]:
+        """
+        Get cache performance summary for this manager.
+        
+        Returns:
+            Dictionary containing cache performance metrics
+        """
+        return self.cache_manager.get_cache_metrics()
+    
+    def log_cache_performance(self):
+        """Log current cache performance metrics."""
+        self.cache_manager.log_cache_metrics()

src/background_data_service.py

@@ -128,11 +128,22 @@ class BackgroundDataService:
         
         logger.info(f"BackgroundDataService initialized with {max_workers} workers")
     
+    def get_sport_cache_key(self, sport: str, date_str: str = None) -> str:
+        """
+        Generate consistent cache keys for sports data.
+        This ensures Recent/Upcoming managers and background service
+        use the same cache keys.
+        """
+        # Use the centralized cache key generation from CacheManager
+        from src.cache_manager import CacheManager
+        cache_manager = CacheManager()
+        return cache_manager.generate_sport_cache_key(sport, date_str)
+
     def submit_fetch_request(self, 
                            sport: str, 
                            year: int, 
                            url: str,
-                           cache_key: str,
+                           cache_key: str = None,
                            params: Optional[Dict[str, Any]] = None,
                            headers: Optional[Dict[str, str]] = None,
                            timeout: Optional[int] = None,
@@ -160,6 +171,10 @@ class BackgroundDataService:
         if self._shutdown:
             raise RuntimeError("BackgroundDataService is shutting down")
         
+        # Generate cache key if not provided
+        if cache_key is None:
+            cache_key = self.get_sport_cache_key(sport)
+        
         request_id = f"{sport}_{year}_{int(time.time() * 1000)}"
         
         # Check cache first

src/cache_manager.py

@@ -44,6 +44,17 @@ class CacheManager:
         except ImportError:
             self.config_manager = None
             self.logger.warning("ConfigManager not available, using default cache intervals")
+        
+        # Initialize performance metrics
+        self._cache_metrics = {
+            'hits': 0,
+            'misses': 0,
+            'api_calls_saved': 0,
+            'background_hits': 0,
+            'background_misses': 0,
+            'total_fetch_time': 0.0,
+            'fetch_count': 0
+        }
 
     def _get_writable_cache_dir(self) -> Optional[str]:
         """Tries to find or create a writable cache directory, preferring a system path when available."""
@@ -735,4 +746,123 @@ class CacheManager:
         Now respects sport-specific live_update_interval configurations.
         """
         data_type = self.get_data_type_from_key(key)
-        return self.get_cached_data_with_strategy(key, data_type)
+        return self.get_cached_data_with_strategy(key, data_type)
+
+    def get_background_cached_data(self, key: str, sport_key: str = None) -> Optional[Dict]:
+        """
+        Get data from background service cache with appropriate strategy.
+        This method is specifically designed for Recent/Upcoming managers
+        to use data cached by the background service.
+        
+        Args:
+            key: Cache key to retrieve
+            sport_key: Sport key for determining appropriate cache strategy
+            
+        Returns:
+            Cached data if available and fresh, None otherwise
+        """
+        # Determine the appropriate cache strategy
+        data_type = self.get_data_type_from_key(key)
+        strategy = self.get_cache_strategy(data_type, sport_key)
+        
+        # For Recent/Upcoming managers, we want to use the background service cache
+        # which should have longer TTLs than the individual manager caches
+        max_age = strategy['max_age']
+        memory_ttl = strategy.get('memory_ttl', max_age)
+        
+        # Get the cached data
+        cached_data = self.get_cached_data(key, max_age, memory_ttl)
+        
+        if cached_data:
+            # Record cache hit for performance monitoring
+            self.record_cache_hit('background')
+            # Unwrap if stored in { 'data': ..., 'timestamp': ... } format
+            if isinstance(cached_data, dict) and 'data' in cached_data:
+                return cached_data['data']
+            return cached_data
+        
+        # Record cache miss for performance monitoring
+        self.record_cache_miss('background')
+        return None
+
+    def is_background_data_available(self, key: str, sport_key: str = None) -> bool:
+        """
+        Check if background service has fresh data available.
+        This helps Recent/Upcoming managers determine if they should
+        wait for background data or fetch immediately.
+        """
+        data_type = self.get_data_type_from_key(key)
+        strategy = self.get_cache_strategy(data_type, sport_key)
+        
+        # Check if we have data that's still fresh according to background service TTL
+        cached_data = self.get_cached_data(key, strategy['max_age'])
+        return cached_data is not None
+
+    def generate_sport_cache_key(self, sport: str, date_str: str = None) -> str:
+        """
+        Centralized cache key generation for sports data.
+        This ensures consistent cache keys across background service and managers.
+        
+        Args:
+            sport: Sport identifier (e.g., 'nba', 'nfl', 'ncaa_fb')
+            date_str: Date string in YYYYMMDD format. If None, uses current UTC date.
+            
+        Returns:
+            Cache key in format: {sport}_{date}
+        """
+        if date_str is None:
+            date_str = datetime.now(pytz.utc).strftime('%Y%m%d')
+        return f"{sport}_{date_str}"
+
+    def record_cache_hit(self, cache_type: str = 'regular'):
+        """Record a cache hit for performance monitoring."""
+        with self._cache_lock:
+            if cache_type == 'background':
+                self._cache_metrics['background_hits'] += 1
+            else:
+                self._cache_metrics['hits'] += 1
+
+    def record_cache_miss(self, cache_type: str = 'regular'):
+        """Record a cache miss for performance monitoring."""
+        with self._cache_lock:
+            if cache_type == 'background':
+                self._cache_metrics['background_misses'] += 1
+            else:
+                self._cache_metrics['misses'] += 1
+            self._cache_metrics['api_calls_saved'] += 1
+
+    def record_fetch_time(self, duration: float):
+        """Record fetch operation duration for performance monitoring."""
+        with self._cache_lock:
+            self._cache_metrics['total_fetch_time'] += duration
+            self._cache_metrics['fetch_count'] += 1
+
+    def get_cache_metrics(self) -> Dict[str, Any]:
+        """Get current cache performance metrics."""
+        with self._cache_lock:
+            total_hits = self._cache_metrics['hits'] + self._cache_metrics['background_hits']
+            total_misses = self._cache_metrics['misses'] + self._cache_metrics['background_misses']
+            total_requests = total_hits + total_misses
+            
+            avg_fetch_time = (self._cache_metrics['total_fetch_time'] / 
+                             self._cache_metrics['fetch_count']) if self._cache_metrics['fetch_count'] > 0 else 0.0
+            
+            return {
+                'total_requests': total_requests,
+                'cache_hit_rate': total_hits / total_requests if total_requests > 0 else 0.0,
+                'background_hit_rate': (self._cache_metrics['background_hits'] / 
+                                       (self._cache_metrics['background_hits'] + self._cache_metrics['background_misses'])
+                                       if (self._cache_metrics['background_hits'] + self._cache_metrics['background_misses']) > 0 else 0.0),
+                'api_calls_saved': self._cache_metrics['api_calls_saved'],
+                'average_fetch_time': avg_fetch_time,
+                'total_fetch_time': self._cache_metrics['total_fetch_time'],
+                'fetch_count': self._cache_metrics['fetch_count']
+            }
+
+    def log_cache_metrics(self):
+        """Log current cache performance metrics."""
+        metrics = self.get_cache_metrics()
+        self.logger.info(f"Cache Performance - Hit Rate: {metrics['cache_hit_rate']:.2%}, "
+                        f"Background Hit Rate: {metrics['background_hit_rate']:.2%}, "
+                        f"API Calls Saved: {metrics['api_calls_saved']}, "
+                        f"Avg Fetch Time: {metrics['average_fetch_time']:.2f}s")

src/generic_cache_mixin.py

@@ -0,0 +1,148 @@
+"""
+Generic Cache Mixin for Any Manager
+
+This mixin provides caching functionality that can be used by any manager
+that needs to cache data, not just sports managers. It's a more general
+version of BackgroundCacheMixin that works for weather, stocks, news, etc.
+"""
+
+import time
+import logging
+from typing import Dict, Optional, Any, Callable
+
+
+class GenericCacheMixin:
+    """
+    Generic mixin class that provides caching functionality to any manager.
+    
+    This mixin can be used by weather, stock, news, or any other manager
+    that needs to cache data with performance monitoring.
+    """
+    
+    def _fetch_data_with_cache(self, 
+                             cache_key: str,
+                             api_fetch_method: Callable,
+                             cache_ttl: int = 300,
+                             force_refresh: bool = False) -> Optional[Dict]:
+        """
+        Generic caching pattern for any manager.
+        
+        Args:
+            cache_key: Unique cache key for this data
+            api_fetch_method: Method to call for fresh data
+            cache_ttl: Time-to-live in seconds (default: 5 minutes)
+            force_refresh: Skip cache and fetch fresh data
+            
+        Returns:
+            Cached or fresh data from API
+        """
+        start_time = time.time()
+        cache_hit = False
+        cache_source = None
+        
+        try:
+            # Check cache first (unless forcing refresh)
+            if not force_refresh:
+                cached_data = self.cache_manager.get_cached_data(cache_key, cache_ttl)
+                if cached_data:
+                    self.logger.info(f"Using cached data for {cache_key}")
+                    cache_hit = True
+                    cache_source = "cache"
+                    self.cache_manager.record_cache_hit('regular')
+                    
+                    # Record performance metrics
+                    duration = time.time() - start_time
+                    self.cache_manager.record_fetch_time(duration)
+                    self._log_fetch_performance(cache_key, duration, cache_hit, cache_source)
+                    
+                    return cached_data
+            
+            # Fetch fresh data
+            self.logger.info(f"Fetching fresh data for {cache_key}")
+            result = api_fetch_method()
+            cache_source = "api_fresh"
+            
+            # Store in cache if we got data
+            if result:
+                self.cache_manager.save_cache(cache_key, result)
+                self.cache_manager.record_cache_miss('regular')
+            else:
+                self.logger.warning(f"No data returned for {cache_key}")
+            
+            # Record performance metrics
+            duration = time.time() - start_time
+            self.cache_manager.record_fetch_time(duration)
+            
+            # Log performance
+            self._log_fetch_performance(cache_key, duration, cache_hit, cache_source)
+            
+            return result
+            
+        except Exception as e:
+            duration = time.time() - start_time
+            self.logger.error(f"Error fetching data for {cache_key} after {duration:.2f}s: {e}")
+            self.cache_manager.record_fetch_time(duration)
+            raise
+    
+    def _log_fetch_performance(self, cache_key: str, duration: float, cache_hit: bool, cache_source: str):
+        """
+        Log detailed performance metrics for fetch operations.
+        
+        Args:
+            cache_key: Cache key that was accessed
+            duration: Fetch operation duration in seconds
+            cache_hit: Whether this was a cache hit
+            cache_source: Source of the data (cache, api_fresh, etc.)
+        """
+        # Log basic performance info
+        self.logger.info(f"Fetch completed for {cache_key} in {duration:.2f}s "
+                        f"(cache_hit={cache_hit}, source={cache_source})")
+        
+        # Log detailed metrics every 10 operations
+        if hasattr(self, '_fetch_count'):
+            self._fetch_count += 1
+        else:
+            self._fetch_count = 1
+            
+        if self._fetch_count % 10 == 0:
+            metrics = self.cache_manager.get_cache_metrics()
+            self.logger.info(f"Cache Performance Summary - "
+                           f"Hit Rate: {metrics['cache_hit_rate']:.2%}, "
+                           f"API Calls Saved: {metrics['api_calls_saved']}, "
+                           f"Avg Fetch Time: {metrics['average_fetch_time']:.2f}s")
+    
+    def get_cache_performance_summary(self) -> Dict[str, Any]:
+        """
+        Get cache performance summary for this manager.
+        
+        Returns:
+            Dictionary containing cache performance metrics
+        """
+        return self.cache_manager.get_cache_metrics()
+    
+    def log_cache_performance(self):
+        """Log current cache performance metrics."""
+        self.cache_manager.log_cache_metrics()
+    
+    def clear_cache_for_key(self, cache_key: str):
+        """Clear cache for a specific key."""
+        self.cache_manager.clear_cache(cache_key)
+        self.logger.info(f"Cleared cache for {cache_key}")
+    
+    def get_cache_info(self, cache_key: str) -> Dict[str, Any]:
+        """
+        Get information about a cached item.
+        
+        Args:
+            cache_key: Cache key to check
+            
+        Returns:
+            Dictionary with cache information
+        """
+        # This would need to be implemented in CacheManager
+        # For now, just return basic info
+        return {
+            'key': cache_key,
+            'exists': self.cache_manager.get_cached_data(cache_key, 0) is not None,
+            'ttl': 'unknown'  # Would need to be implemented
+        }

src/mlb_manager.py

@@ -410,7 +410,10 @@ class BaseMLBManager:
             return "TBD"
 
     def _fetch_mlb_api_data(self, use_cache: bool = True) -> Dict[str, Any]:
-        """Fetch MLB game data from the ESPN API."""
+        """
+        Fetch MLB game data from the ESPN API.
+        Updated to use background service cache for Recent/Upcoming managers.
+        """
         # Define cache key based on dates
         now = datetime.now(timezone.utc)
         yesterday = now - timedelta(days=1)
@@ -420,6 +423,16 @@ class BaseMLBManager:
 
         # If using cache, try to load from cache first
         if use_cache:
+            # For Recent/Upcoming managers, try background service cache first
+            if hasattr(self, '__class__') and any(x in self.__class__.__name__ for x in ['Recent', 'Upcoming']):
+                if self.cache_manager.is_background_data_available(cache_key, 'mlb'):
+                    cached_data = self.cache_manager.get_background_cached_data(cache_key, 'mlb')
+                    if cached_data:
+                        self.logger.info(f"[MLB] Using background service cache for {cache_key}")
+                        return cached_data
+                self.logger.info(f"[MLB] Background data not available, fetching directly for {cache_key}")
+            
+            # Fallback to regular cache strategy
             cached_data = self.cache_manager.get_with_auto_strategy(cache_key)
             if cached_data:
                 self.logger.info("Using cached MLB API data.")

src/nba_managers.py

@@ -12,6 +12,7 @@ from src.cache_manager import CacheManager
 from src.config_manager import ConfigManager
 from src.odds_manager import OddsManager
 from src.background_data_service import get_background_service
+from src.background_cache_mixin import BackgroundCacheMixin
 import pytz
 
 # Import the API counter function from web interface
@@ -32,7 +33,7 @@ logging.basicConfig(
     datefmt='%Y-%m-%d %H:%M:%S'
 )
 
-class BaseNBAManager:
+class BaseNBAManager(BackgroundCacheMixin):
     """Base class for NBA managers with common functionality."""
     # Class variables for warning tracking
     _no_data_warning_logged = False
@@ -317,11 +318,16 @@ class BaseNBAManager:
             return None
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism."""
-        if isinstance(self, NBALiveManager):
-            return self._fetch_nba_api_data(use_cache=False)
-        else:
-            return self._fetch_nba_api_data(use_cache=True)
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        return self._fetch_data_with_background_cache(
+            sport_key='nba',
+            api_fetch_method=self._fetch_nba_api_data,
+            live_manager_class=NBALiveManager
+        )
 
     def _fetch_odds(self, game: Dict) -> None:
         """Fetch odds for a specific game if conditions are met."""

src/ncaa_fb_managers.py

@@ -377,11 +377,30 @@ class BaseNCAAFBManager: # Renamed class
         return []
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism or direct fetch for live."""
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, NCAAFBLiveManager):
             return self._fetch_ncaa_fb_api_data(use_cache=False)
-        else:
-            return self._fetch_ncaa_fb_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, try to use background service cache first
+        from datetime import datetime
+        import pytz
+        cache_key = f"ncaa_fb_{datetime.now(pytz.utc).strftime('%Y%m%d')}"
+        
+        # Check if background service has fresh data
+        if self.cache_manager.is_background_data_available(cache_key, 'ncaa_fb'):
+            cached_data = self.cache_manager.get_background_cached_data(cache_key, 'ncaa_fb')
+            if cached_data:
+                self.logger.info(f"[NCAAFB] Using background service cache for {cache_key}")
+                return cached_data
+        
+        # Fallback to direct API call if background data not available
+        self.logger.info(f"[NCAAFB] Background data not available, fetching directly for {cache_key}")
+        return self._fetch_ncaa_fb_api_data(use_cache=True)
 
 
     def _load_fonts(self):

src/ncaam_basketball_managers.py

@@ -347,11 +347,30 @@ class BaseNCAAMBasketballManager:
             return None
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism."""
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, NCAAMBasketballLiveManager):
             return self._fetch_ncaam_basketball_api_data(use_cache=False)
-        else:
-            return self._fetch_ncaam_basketball_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, try to use background service cache first
+        from datetime import datetime
+        import pytz
+        cache_key = f"ncaam_basketball_{datetime.now(pytz.utc).strftime('%Y%m%d')}"
+        
+        # Check if background service has fresh data
+        if self.cache_manager.is_background_data_available(cache_key, 'ncaam_basketball'):
+            cached_data = self.cache_manager.get_background_cached_data(cache_key, 'ncaam_basketball')
+            if cached_data:
+                self.logger.info(f"[NCAAMBasketball] Using background service cache for {cache_key}")
+                return cached_data
+        
+        # Fallback to direct API call if background data not available
+        self.logger.info(f"[NCAAMBasketball] Background data not available, fetching directly for {cache_key}")
+        return self._fetch_ncaam_basketball_api_data(use_cache=True)
 
     def _extract_game_details(self, game_event: Dict) -> Optional[Dict]:
         """Extract relevant game details from ESPN API response."""

src/ncaam_hockey_managers.py

@@ -244,11 +244,30 @@ class BaseNCAAMHockeyManager: # Renamed class
         return {'events': all_events}
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism or direct fetch for live."""
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, NCAAMHockeyLiveManager):
             return self._fetch_ncaa_fb_api_data(use_cache=False)
-        else:
-            return self._fetch_ncaa_fb_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, try to use background service cache first
+        from datetime import datetime
+        import pytz
+        cache_key = f"ncaam_hockey_{datetime.now(pytz.utc).strftime('%Y%m%d')}"
+        
+        # Check if background service has fresh data
+        if self.cache_manager.is_background_data_available(cache_key, 'ncaam_hockey'):
+            cached_data = self.cache_manager.get_background_cached_data(cache_key, 'ncaam_hockey')
+            if cached_data:
+                self.logger.info(f"[NCAAMHockey] Using background service cache for {cache_key}")
+                return cached_data
+        
+        # Fallback to direct API call if background data not available
+        self.logger.info(f"[NCAAMHockey] Background data not available, fetching directly for {cache_key}")
+        return self._fetch_ncaa_fb_api_data(use_cache=True)
 
     def _load_fonts(self):
         """Load fonts used by the scoreboard."""

src/nfl_managers.py

@@ -12,6 +12,7 @@ from src.cache_manager import CacheManager
 from src.config_manager import ConfigManager
 from src.odds_manager import OddsManager
 from src.background_data_service import get_background_service
+from src.background_cache_mixin import BackgroundCacheMixin
 import pytz
 
 # Constants
@@ -27,7 +28,7 @@ logging.basicConfig(
 
 
 
-class BaseNFLManager: # Renamed class
+class BaseNFLManager(BackgroundCacheMixin): # Renamed class
     """Base class for NFL managers with common functionality."""
     # Class variables for warning tracking
     _no_data_warning_logged = False
@@ -330,13 +331,22 @@ class BaseNFLManager: # Renamed class
             return None
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism or direct fetch for live."""
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, NFLLiveManager):
             # Live games should fetch only current games, not entire season
             return self._fetch_current_nfl_games()
-        else:
-            # Recent and Upcoming managers should use cached season data
-            return self._fetch_nfl_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, use the centralized background cache method
+        return self._fetch_data_with_background_cache(
+            sport_key='nfl',
+            api_fetch_method=self._fetch_nfl_api_data,
+            live_manager_class=NFLLiveManager
+        )
 
     def _load_fonts(self):
         """Load fonts used by the scoreboard."""

src/nhl_managers.py

@@ -163,13 +163,30 @@ class BaseNHLManager:
             return None
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using the new centralized method."""
-        # For live games, bypass the shared cache to ensure fresh data
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, NHLLiveManager):
             return self._fetch_nhl_api_data(use_cache=False)
-        else:
-            # For non-live games, use the shared cache
-            return self._fetch_nhl_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, try to use background service cache first
+        from datetime import datetime
+        import pytz
+        cache_key = f"nhl_{datetime.now(pytz.utc).strftime('%Y%m%d')}"
+        
+        # Check if background service has fresh data
+        if self.cache_manager.is_background_data_available(cache_key, 'nhl'):
+            cached_data = self.cache_manager.get_background_cached_data(cache_key, 'nhl')
+            if cached_data:
+                self.logger.info(f"[NHL] Using background service cache for {cache_key}")
+                return cached_data
+        
+        # Fallback to direct API call if background data not available
+        self.logger.info(f"[NHL] Background data not available, fetching directly for {cache_key}")
+        return self._fetch_nhl_api_data(use_cache=True)
 
     def _load_fonts(self):
         """Load fonts used by the scoreboard."""

src/soccer_managers.py

@@ -332,11 +332,30 @@ class BaseSoccerManager:
             return set(self.target_leagues_config)
 
     def _fetch_data(self, date_str: str = None) -> Optional[Dict]:
-        """Fetch data using shared data mechanism or live fetching per league."""
+        """
+        Fetch data using background service cache first, fallback to direct API call.
+        This eliminates redundant caching and ensures Recent/Upcoming managers
+        use the same data source as the background service.
+        """
+        # For Live managers, always fetch fresh data
         if isinstance(self, SoccerLiveManager) and not self.test_mode:
             return self._fetch_soccer_api_data(use_cache=False)
-        else:
-            return self._fetch_soccer_api_data(use_cache=True)
+        
+        # For Recent/Upcoming managers, try to use background service cache first
+        from datetime import datetime
+        import pytz
+        cache_key = f"soccer_{datetime.now(pytz.utc).strftime('%Y%m%d')}"
+        
+        # Check if background service has fresh data
+        if self.cache_manager.is_background_data_available(cache_key, 'soccer'):
+            cached_data = self.cache_manager.get_background_cached_data(cache_key, 'soccer')
+            if cached_data:
+                self.logger.info(f"[Soccer] Using background service cache for {cache_key}")
+                return cached_data
+        
+        # Fallback to direct API call if background data not available
+        self.logger.info(f"[Soccer] Background data not available, fetching directly for {cache_key}")
+        return self._fetch_soccer_api_data(use_cache=True)
 
     def _load_fonts(self):
         """Load fonts used by the scoreboard."""

ubmodule status

@@ -1,51 +0,0 @@
-8c03e651 (HEAD -> development, origin/development) wiki page about team abbreviations
-764d80e8 added more missing soccer logos
-854c236a added portuguese soccer league to documentation for soccer manager and added auto-download missing logos for soccer teams
-4b1b343a shift album font down 2 pixels
-65f04bff adjust music manager album text location
-80558561 shift of the day description and subtitle down in more situations
-17a79976 shift of the day description down one more pixel for total of 4
-38062d0b shift album and artist font down
-2ce25205 shift of the day description down one more pixel
-c7ee9468 shift music album and artist font down the height of the text font
-3afcbb75 add freetype error handling
-bc182027 shift of the day underline up one pixel
-a0973a2a shift whole display down 8 pixels
-c18ab3f9 dialing of the day text spacing - revert back to too much spacing
-97185950 dialing of the day text spacing
-5f803f34 dialing of the day text spacing
-03208307 of the day manager text refactor
-9dd74425 of the day manager text positioning placement fix
-67b6a6fd adjust spacing on of the day manager text
-ca62fd71 Make sure sports displays are properly processing number of recent games to show
-49346f9a change of the day file path detection
-9200c9ca update logic on all sports displays that upcoming and recent games to show are based on each team, not just the first X # of games found
-dbdb730b fix upcoming game logic for NFL display too
-91211d5c fix upcoming game logic
-d78c592d NCAA FB season now downloads in full but it slows down the display significantly, data fetch has been moved to the background and deferred during scrolling displays
-4771ec8b add black buffer behind odds ticker to finish scroll
-60f68ff2 add permission handling of the day to first time install script
-c7634cbf NCAA FB odds fix
-96cd3834 NCAA FB logging to figure out why recent and upcoming games aren't loading well
-e39dd1e0 NCAA FB logging
-7b133963 of the day try block fix
-0579b3b8 more of the day debug logging and fix datetime duplicate in NCAA FB
-e7e76eea more robust NCAA FB manager upcoming game check
-3f431a54 path resolution for of the day manager
-d0f87859 troubleshooting of the day manager
-7618eafa troubleshooting of the day manager
-f8f45390 hopefully fix of the day settings
-0ab978d5 web ui config setting accuracy changes
-c4a51d0f espn api update for NCAAFB
-b20c3880 make sure web ui is pulling existing config options
-652461a8 ensure leaderboard is in webui
-691d3967 web ui bug fixes
-9bc0cd56 moving away from dict errors
-625a501d further dict wrapper update
-28c2dcd2 fix dict class for web ui
-c55511c0 webui changes to launch after config file changes
-b96f1e39 make sure web ui save buttons work
-fcbc6746 persistent config file via config.template.json and migrate_config.sh
-4b36937a Update sports league logos
-8ead8ad8 Fix NCAA Football recent games to show truly recent games (last 14 days) instead of entire season
-fbff65fb fix NCAA FB Quarter logic. Fix -1th and 10 status text when negative yards are received