rick/LEDMatrix
1
0
Fork 0
mirror of https://github.com/ChuckBuilds/LEDMatrix.git synced 2026-04-10 13:02:59 +00:00
Code Issues Packages Projects Releases Wiki Activity

change football logic from days to games.

Browse Source
This commit is contained in:
Chuck
2025-07-21 16:51:29 -05:00
parent 8dccebff01
commit e9cf2829da
4 changed files with 211 additions and 112 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
README.md
View File

@@ -442,6 +442,55 @@ This will:
3. Display sample games
4. Test the scrolling functionality
## Football Game-Based Configuration (NFL & NCAA FB)
For NFL and NCAA Football, the system now uses a game-based fetch approach instead of time-based windows. This is more practical for football since games are weekly and you want to show specific numbers of games rather than arbitrary time periods.
### Configuration Options
Instead of using `past_fetch_days` and `future_fetch_days`, the system now uses:
- **`fetch_past_games`**: Number of recent games to fetch (default: 1)
- **`fetch_future_games`**: Number of upcoming games to fetch (default: 1)
### Example Configuration
```json
{
"nfl_scoreboard": {
"enabled": true,
"fetch_past_games": 1,
"fetch_future_games": 1,
"favorite_teams": ["TB", "DAL"]
},
"ncaa_fb_scoreboard": {
"enabled": true,
"fetch_past_games": 1,
"fetch_future_games": 1,
"favorite_teams": ["UGA", "AUB"]
}
}
```
### How It Works
- **`fetch_past_games: 1`**: Shows the most recent game for your favorite teams
- **`fetch_future_games: 1`**: Shows the next upcoming game for your favorite teams
- **`fetch_future_games: 2`**: Shows the next two upcoming games (e.g., Week 1 and Week 2 matchups)
### Benefits
1. **Predictable Results**: Always shows exactly the number of games you specify
2. **Season Flexibility**: Works well both during the season and in the off-season
3. **Future Planning**: Can show games far in the future (e.g., Week 1 when it's 40 days away)
4. **Efficient**: Only fetches the games you actually want to see
### Use Cases
- **During Season**: `fetch_future_games: 1` shows next week's game
- **Off-Season**: `fetch_future_games: 1` shows the first scheduled game (even if it's months away)
- **Planning**: `fetch_future_games: 2` shows the next two matchups for planning purposes
## Music Display Configuration
The Music Display module shows information about the currently playing track from either Spotify or YouTube Music (via the [YouTube Music Desktop App](https://ytmdesktop.app/) companion server).

8
config/config.json
View File

@@ -176,8 +176,8 @@
"live_update_interval": 30,
"live_odds_update_interval": 3600,
"odds_update_interval": 3600,
"past_fetch_days": 7,
"future_fetch_days": 7,
"fetch_past_games": 1,
"fetch_future_games": 1,
"favorite_teams": ["TB", "DAL"],
"logo_dir": "assets/sports/nfl_logos",
"show_records": true,
@@ -195,8 +195,8 @@
"live_update_interval": 30,
"live_odds_update_interval": 3600,
"odds_update_interval": 3600,
"past_fetch_days": 7,
"future_fetch_days": 7,
"fetch_past_games": 1,
"fetch_future_games": 1,
"favorite_teams": ["UGA", "AUB"],
"logo_dir": "assets/sports/ncaa_fbs_logos",
"show_records": true,

133
src/ncaa_fb_managers.py
View File

@@ -102,8 +102,8 @@ class BaseNCAAFBManager: # Renamed class
self.current_game = None
self.fonts = self._load_fonts()
self.favorite_teams = self.ncaa_fb_config.get("favorite_teams", [])
self.past_fetch_days = self.ncaa_fb_config.get("past_fetch_days", 7)
self.future_fetch_days = self.ncaa_fb_config.get("future_fetch_days", 7)
self.fetch_past_games = self.ncaa_fb_config.get("fetch_past_games", 1)
self.fetch_future_games = self.ncaa_fb_config.get("fetch_future_games", 1)
self.logger.setLevel(logging.DEBUG)
@@ -163,15 +163,15 @@ class BaseNCAAFBManager: # Renamed class
except Exception as e:
self.logger.error(f"Error fetching odds for game {game.get('id', 'N/A')}: {e}")
def _fetch_shared_data(self, past_days: int, future_days: int, date_str: str = None) -> Optional[Dict]:
"""Fetch and cache data for all managers to share."""
def _fetch_shared_data(self, fetch_past_games: int, fetch_future_games: int, date_str: str = None) -> Optional[Dict]:
"""Fetch and cache data for all managers to share, using game counts instead of days."""
current_time = time.time()
if BaseNCAAFBManager._shared_data and (current_time - BaseNCAAFBManager._last_shared_update) < 300:
return BaseNCAAFBManager._shared_data
try:
cache_key = date_str if date_str else 'today_ncaafb' # Changed cache key prefix
cache_key = date_str if date_str else 'today_ncaafb'
cached_data = BaseNCAAFBManager.cache_manager.get(cache_key, max_age=300)
if cached_data:
BaseNCAAFBManager.logger.info(f"[NCAAFB] Using cached data for {cache_key}")
@@ -179,61 +179,86 @@ class BaseNCAAFBManager: # Renamed class
BaseNCAAFBManager._last_shared_update = current_time
return cached_data
url = ESPN_NCAAFB_SCOREBOARD_URL # Use NCAA FB URL
params = {}
if date_str:
params['dates'] = date_str
# For game-based fetching, we need to fetch a wider window to ensure we get enough games
# Use a 30-day window to ensure we capture enough games
today = datetime.now(self._get_timezone()).date()
dates_to_fetch = []
# Generate dates for a 30-day window (15 days past, 15 days future)
for i in range(-15, 16):
fetch_dt = today + timedelta(days=i)
dates_to_fetch.append(fetch_dt.strftime('%Y%m%d'))
response = requests.get(url, params=params)
response.raise_for_status()
data = response.json()
BaseNCAAFBManager.logger.info(f"[NCAAFB] Successfully fetched data from ESPN API")
BaseNCAAFBManager.logger.info(f"[NCAAFB] Fetching data for 30-day window to find {fetch_past_games} past and {fetch_future_games} future games")
BaseNCAAFBManager.cache_manager.set(cache_key, data)
BaseNCAAFBManager._shared_data = data
BaseNCAAFBManager._last_shared_update = current_time
all_events = []
# Fetch data for each date
for fetch_date in dates_to_fetch:
date_cache_key = f"{fetch_date}_ncaafb"
cached_date_data = BaseNCAAFBManager.cache_manager.get(date_cache_key, max_age=300)
if cached_date_data:
BaseNCAAFBManager.logger.info(f"[NCAAFB] Using cached data for date {fetch_date}")
if "events" in cached_date_data:
all_events.extend(cached_date_data["events"])
continue
if not date_str:
today = datetime.now(self._get_timezone()).date()
dates_to_fetch = []
# Generate dates from past_days ago to future_days ahead
for i in range(-past_days, future_days + 1):
fetch_dt = today + timedelta(days=i)
dates_to_fetch.append(fetch_dt.strftime('%Y%m%d'))
url = ESPN_NCAAFB_SCOREBOARD_URL
params = {'dates': fetch_date}
response = requests.get(url, params=params)
response.raise_for_status()
date_data = response.json()
if date_data and "events" in date_data:
all_events.extend(date_data["events"])
BaseNCAAFBManager.logger.info(f"[NCAAFB] Fetched {len(date_data['events'])} events for date {fetch_date}")
BaseNCAAFBManager.cache_manager.set(date_cache_key, date_data)
BaseNCAAFBManager.logger.info(f"[NCAAFB] Fetching data for dates: {dates_to_fetch}")
all_events = []
# Fetch data for each date (excluding today if already fetched)
for fetch_date in dates_to_fetch:
if fetch_date == today.strftime('%Y%m%d') and cache_key == 'today_ncaafb': # Skip today if already fetched initially
# Now filter events based on game counts
if all_events:
# Sort events by date
all_events.sort(key=lambda x: x.get('date', ''))
# Separate past and future events
now = datetime.now(self._get_timezone())
past_events = []
future_events = []
for event in all_events:
try:
event_time = datetime.fromisoformat(event['date'].replace('Z', '+00:00'))
if event_time.tzinfo is None:
event_time = event_time.replace(tzinfo=pytz.UTC)
event_time = event_time.astimezone(self._get_timezone())
if event_time < now:
past_events.append(event)
else:
future_events.append(event)
except Exception as e:
BaseNCAAFBManager.logger.warning(f"[NCAAFB] Could not parse event date: {e}")
continue
date_cache_key = f"{fetch_date}_ncaafb" # Changed cache key suffix
cached_date_data = BaseNCAAFBManager.cache_manager.get(date_cache_key, max_age=300)
if cached_date_data:
BaseNCAAFBManager.logger.info(f"[NCAAFB] Using cached data for date {fetch_date}")
if "events" in cached_date_data:
all_events.extend(cached_date_data["events"])
continue
# Take the specified number of games
selected_past_events = past_events[-fetch_past_games:] if past_events else []
selected_future_events = future_events[:fetch_future_games] if future_events else []
# Combine selected events
selected_events = selected_past_events + selected_future_events
BaseNCAAFBManager.logger.info(f"[NCAAFB] Selected {len(selected_past_events)} past games and {len(selected_future_events)} future games")
# Create the final data structure
data = {"events": selected_events}
BaseNCAAFBManager._shared_data = data
BaseNCAAFBManager._last_shared_update = current_time
return data
else:
BaseNCAAFBManager.logger.warning("[NCAAFB] No events found in the fetched data")
return None
params['dates'] = fetch_date
response = requests.get(url, params=params)
response.raise_for_status()
date_data = response.json()
if date_data and "events" in date_data:
all_events.extend(date_data["events"])
BaseNCAAFBManager.logger.info(f"[NCAAFB] Fetched {len(date_data['events'])} events for date {fetch_date}")
BaseNCAAFBManager.cache_manager.set(date_cache_key, date_data)
if all_events:
if "events" not in data: data["events"] = [] # Ensure 'events' key exists
data["events"].extend(all_events)
BaseNCAAFBManager.logger.info(f"[NCAAFB] Combined {len(data['events'])} total events from all dates")
BaseNCAAFBManager._shared_data = data
BaseNCAAFBManager._last_shared_update = current_time
return data
except requests.exceptions.RequestException as e:
BaseNCAAFBManager.logger.error(f"[NCAAFB] Error fetching data from ESPN: {e}")
return None
@@ -258,7 +283,7 @@ class BaseNCAAFBManager: # Renamed class
return None
else:
# For non-live games, use the shared cache
return self._fetch_shared_data(self.past_fetch_days, self.future_fetch_days, date_str)
return self._fetch_shared_data(self.fetch_past_games, self.fetch_future_games, date_str)
def _load_fonts(self):
"""Load fonts used by the scoreboard."""

133
src/nfl_managers.py
View File

@@ -102,8 +102,8 @@ class BaseNFLManager: # Renamed class
self.current_game = None
self.fonts = self._load_fonts()
self.favorite_teams = self.nfl_config.get("favorite_teams", [])
self.past_fetch_days = self.nfl_config.get("past_fetch_days", 7)
self.future_fetch_days = self.nfl_config.get("future_fetch_days", 7)
self.fetch_past_games = self.nfl_config.get("fetch_past_games", 1)
self.fetch_future_games = self.nfl_config.get("fetch_future_games", 1)
self.logger.setLevel(logging.DEBUG)
@@ -163,15 +163,15 @@ class BaseNFLManager: # Renamed class
except Exception as e:
self.logger.error(f"Error fetching odds for game {game.get('id', 'N/A')}: {e}")
def _fetch_shared_data(self, past_days: int, future_days: int, date_str: str = None) -> Optional[Dict]:
"""Fetch and cache data for all managers to share."""
def _fetch_shared_data(self, fetch_past_games: int, fetch_future_games: int, date_str: str = None) -> Optional[Dict]:
"""Fetch and cache data for all managers to share, using game counts instead of days."""
current_time = time.time()
if BaseNFLManager._shared_data and (current_time - BaseNFLManager._last_shared_update) < 300:
return BaseNFLManager._shared_data
try:
cache_key = date_str if date_str else 'today_nfl' # Changed cache key prefix
cache_key = date_str if date_str else 'today_nfl'
cached_data = BaseNFLManager.cache_manager.get(cache_key, max_age=300)
if cached_data:
BaseNFLManager.logger.info(f"[NFL] Using cached data for {cache_key}")
@@ -179,61 +179,86 @@ class BaseNFLManager: # Renamed class
BaseNFLManager._last_shared_update = current_time
return cached_data
url = ESPN_NFL_SCOREBOARD_URL # Use NFL URL
params = {}
if date_str:
params['dates'] = date_str
# For game-based fetching, we need to fetch a wider window to ensure we get enough games
# Use a 30-day window to ensure we capture enough games
today = datetime.now(self._get_timezone()).date()
dates_to_fetch = []
# Generate dates for a 30-day window (15 days past, 15 days future)
for i in range(-15, 16):
fetch_dt = today + timedelta(days=i)
dates_to_fetch.append(fetch_dt.strftime('%Y%m%d'))
response = requests.get(url, params=params)
response.raise_for_status()
data = response.json()
BaseNFLManager.logger.info(f"[NFL] Successfully fetched data from ESPN API")
BaseNFLManager.logger.info(f"[NFL] Fetching data for 30-day window to find {fetch_past_games} past and {fetch_future_games} future games")
BaseNFLManager.cache_manager.set(cache_key, data)
BaseNFLManager._shared_data = data
BaseNFLManager._last_shared_update = current_time
all_events = []
# Fetch data for each date
for fetch_date in dates_to_fetch:
date_cache_key = f"{fetch_date}_nfl"
cached_date_data = BaseNFLManager.cache_manager.get(date_cache_key, max_age=300)
if cached_date_data:
BaseNFLManager.logger.info(f"[NFL] Using cached data for date {fetch_date}")
if "events" in cached_date_data:
all_events.extend(cached_date_data["events"])
continue
if not date_str:
today = datetime.now(self._get_timezone()).date()
dates_to_fetch = []
# Generate dates from past_days ago to future_days ahead
for i in range(-past_days, future_days + 1):
fetch_dt = today + timedelta(days=i)
dates_to_fetch.append(fetch_dt.strftime('%Y%m%d'))
url = ESPN_NFL_SCOREBOARD_URL
params = {'dates': fetch_date}
response = requests.get(url, params=params)
response.raise_for_status()
date_data = response.json()
if date_data and "events" in date_data:
all_events.extend(date_data["events"])
BaseNFLManager.logger.info(f"[NFL] Fetched {len(date_data['events'])} events for date {fetch_date}")
BaseNFLManager.cache_manager.set(date_cache_key, date_data)
BaseNFLManager.logger.info(f"[NFL] Fetching data for dates: {dates_to_fetch}")
all_events = []
# Fetch data for each date (excluding today if already fetched)
for fetch_date in dates_to_fetch:
if fetch_date == today.strftime('%Y%m%d') and cache_key == 'today_nfl': # Skip today if already fetched initially
# Now filter events based on game counts
if all_events:
# Sort events by date
all_events.sort(key=lambda x: x.get('date', ''))
# Separate past and future events
now = datetime.now(self._get_timezone())
past_events = []
future_events = []
for event in all_events:
try:
event_time = datetime.fromisoformat(event['date'].replace('Z', '+00:00'))
if event_time.tzinfo is None:
event_time = event_time.replace(tzinfo=pytz.UTC)
event_time = event_time.astimezone(self._get_timezone())
if event_time < now:
past_events.append(event)
else:
future_events.append(event)
except Exception as e:
BaseNFLManager.logger.warning(f"[NFL] Could not parse event date: {e}")
continue
date_cache_key = f"{fetch_date}_nfl"
cached_date_data = BaseNFLManager.cache_manager.get(date_cache_key, max_age=300)
if cached_date_data:
BaseNFLManager.logger.info(f"[NFL] Using cached data for date {fetch_date}")
if "events" in cached_date_data:
all_events.extend(cached_date_data["events"])
continue
# Take the specified number of games
selected_past_events = past_events[-fetch_past_games:] if past_events else []
selected_future_events = future_events[:fetch_future_games] if future_events else []
# Combine selected events
selected_events = selected_past_events + selected_future_events
BaseNFLManager.logger.info(f"[NFL] Selected {len(selected_past_events)} past games and {len(selected_future_events)} future games")
# Create the final data structure
data = {"events": selected_events}
BaseNFLManager._shared_data = data
BaseNFLManager._last_shared_update = current_time
return data
else:
BaseNFLManager.logger.warning("[NFL] No events found in the fetched data")
return None
params['dates'] = fetch_date
response = requests.get(url, params=params)
response.raise_for_status()
date_data = response.json()
if date_data and "events" in date_data:
all_events.extend(date_data["events"])
BaseNFLManager.logger.info(f"[NFL] Fetched {len(date_data['events'])} events for date {fetch_date}")
BaseNFLManager.cache_manager.set(date_cache_key, date_data)
if all_events:
if "events" not in data: data["events"] = [] # Ensure 'events' key exists
data["events"].extend(all_events)
BaseNFLManager.logger.info(f"[NFL] Combined {len(data['events'])} total events from all dates")
BaseNFLManager._shared_data = data
BaseNFLManager._last_shared_update = current_time
return data
except requests.exceptions.RequestException as e:
BaseNFLManager.logger.error(f"[NFL] Error fetching data from ESPN: {e}")
return None
@@ -258,7 +283,7 @@ class BaseNFLManager: # Renamed class
return None
else:
# For non-live games, use the shared cache
return self._fetch_shared_data(self.past_fetch_days, self.future_fetch_days, date_str)
return self._fetch_shared_data(self.fetch_past_games, self.fetch_future_games, date_str)
def _load_fonts(self):
"""Load fonts used by the scoreboard."""