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AI bug squash sesh
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wiki/CACHE_STRATEGY.md
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wiki/CACHE_STRATEGY.md
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# LEDMatrix Cache Strategy Analysis
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## Current Implementation
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Your LEDMatrix system uses a sophisticated multi-tier caching strategy that balances data freshness with API efficiency.
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### Cache Duration Categories
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#### 1. **Ultra Time-Sensitive Data (15-60 seconds)**
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- **Live Sports Scores**: Now respects sport-specific `live_update_interval` configuration
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- Soccer live data: Uses `soccer_scoreboard.live_update_interval` (default: 60 seconds)
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- NFL live data: Uses `nfl_scoreboard.live_update_interval` (default: 60 seconds)
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- NHL live data: Uses `nhl_scoreboard.live_update_interval` (default: 60 seconds)
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- NBA live data: Uses `nba_scoreboard.live_update_interval` (default: 60 seconds)
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- MLB live data: Uses `mlb.live_update_interval` (default: 60 seconds)
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- NCAA sports: Use respective `live_update_interval` configurations (default: 60 seconds)
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- **Current Weather**: 5 minutes (300 seconds)
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#### 2. **Market Data (5-10 minutes)**
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- **Stocks**: 10 minutes (600 seconds) - market hours aware
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- **Crypto**: 5 minutes (300 seconds) - 24/7 trading
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- **Stock News**: 1 hour (3600 seconds)
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#### 3. **Sports Data (5 minutes to 24 hours)**
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- **Recent Games**: 5 minutes (300 seconds)
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- **Upcoming Games**: 1 hour (3600 seconds)
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- **Season Schedules**: 24 hours (86400 seconds)
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- **Team Information**: 1 week (604800 seconds)
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#### 4. **Static Data (1 week to 30 days)**
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- **Team Logos**: 30 days (2592000 seconds)
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- **Configuration Data**: 1 week (604800 seconds)
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### Smart Cache Invalidation
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Beyond time limits, the system uses content-based invalidation:
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```python
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def has_data_changed(self, data_type: str, new_data: Dict[str, Any]) -> bool:
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"""Check if data has changed from cached version."""
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```
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- **Weather**: Compares temperature and conditions
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- **Stocks**: Compares prices (only during market hours)
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- **Sports**: Compares scores, game status, inning details
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- **News**: Compares headlines and article IDs
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### Market-Aware Caching
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For stocks, the system extends cache duration during off-hours:
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```python
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def _is_market_open(self) -> bool:
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"""Check if the US stock market is currently open."""
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# Only invalidates cache during market hours
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```
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## Enhanced Cache Strategy
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### Sport-Specific Live Update Intervals
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The cache manager now automatically respects the `live_update_interval` configuration for each sport:
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```python
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def get_sport_live_interval(self, sport_key: str) -> int:
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"""Get the live_update_interval for a specific sport from config."""
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config = self.config_manager.get_config()
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sport_config = config.get(f"{sport_key}_scoreboard", {})
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return sport_config.get("live_update_interval", 30)
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```
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### Automatic Sport Detection
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The cache manager automatically detects the sport from cache keys:
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```python
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def get_sport_key_from_cache_key(self, key: str) -> Optional[str]:
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"""Extract sport key from cache key to determine appropriate live_update_interval."""
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# Maps cache key patterns to sport keys
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sport_patterns = {
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'nfl': ['nfl', 'football'],
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'nba': ['nba', 'basketball'],
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'mlb': ['mlb', 'baseball'],
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'nhl': ['nhl', 'hockey'],
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'soccer': ['soccer', 'football'],
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# ... etc
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}
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```
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### Configuration Examples
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**Current Configuration (config/config.json):**
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```json
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{
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"nfl_scoreboard": {
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"live_update_interval": 30,
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"enabled": true
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},
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"soccer_scoreboard": {
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"live_update_interval": 30,
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"enabled": false
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},
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"mlb": {
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"live_update_interval": 30,
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"enabled": true
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}
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}
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```
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**Cache Behavior:**
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- NFL live data: 30-second cache (from config)
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- Soccer live data: 30-second cache (from config)
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- MLB live data: 30-second cache (from config)
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### Fallback Strategy
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If configuration is unavailable, the system uses sport-specific defaults:
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```python
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default_intervals = {
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'soccer': 60, # Soccer default
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'nfl': 60, # NFL default
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'nhl': 60, # NHL default
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'nba': 60, # NBA default
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'mlb': 60, # MLB default
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'milb': 60, # Minor league default
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'ncaa_fb': 60, # College football default
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'ncaa_baseball': 60, # College baseball default
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'ncaam_basketball': 60, # College basketball default
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}
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```
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## Usage Examples
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### Automatic Sport Detection
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```python
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# Cache manager automatically detects NFL and uses nfl_scoreboard.live_update_interval
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cached_data = cache_manager.get_with_auto_strategy("nfl_live_20241201")
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# Cache manager automatically detects soccer and uses soccer_scoreboard.live_update_interval
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cached_data = cache_manager.get_with_auto_strategy("soccer_live_20241201")
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```
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### Manual Sport Specification
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```python
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# Explicitly specify sport for custom cache keys
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cached_data = cache_manager.get_cached_data_with_strategy("custom_live_key", "sports_live")
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```
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## Benefits
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1. **Configuration-Driven**: Cache respects your sport-specific settings
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2. **Automatic Detection**: No manual cache duration management needed
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3. **Sport-Optimized**: Each sport uses its appropriate update interval
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4. **Backward Compatible**: Existing code continues to work
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5. **Flexible**: Easy to adjust intervals per sport in config
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## Migration
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The enhanced cache manager is backward compatible. Existing code will automatically benefit from sport-specific intervals without any changes needed.
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To customize intervals for specific sports, simply update the `live_update_interval` in your `config/config.json`:
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```json
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{
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"nfl_scoreboard": {
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"live_update_interval": 15 // More aggressive for NFL
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},
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"mlb": {
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"live_update_interval": 45 // Slower pace for MLB
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}
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}
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```
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