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more robust NCAA FB manager upcoming game check

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Chuck
2025-09-15 15:22:03 -04:00
parent 3f431a54d4
commit e7e76eea4c
1 changed files with 41 additions and 4 deletions
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45
src/ncaa_fb_managers.py
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@@ -264,6 +264,33 @@ class BaseNCAAFBManager: # Renamed class
except requests.exceptions.RequestException as e:
self.logger.warning(f"[NCAAFB] Error fetching postseason for {year}: {e}")
# CRITICAL FIX: Also fetch current week using date-based approach (like odds manager)
# This ensures we get games that might be missed by week-based API
try:
from datetime import datetime, timedelta
now = datetime.now(pytz.utc)
# Fetch games from yesterday to next 7 days (same as odds manager)
for days_offset in range(-1, 8): # Yesterday through next 7 days
check_date = now + timedelta(days=days_offset)
date_str = check_date.strftime('%Y%m%d')
url = f"https://site.api.espn.com/apis/site/v2/sports/football/college-football/scoreboard?dates={date_str}"
response = self.session.get(url, headers=self.headers, timeout=15)
response.raise_for_status()
data = response.json()
date_events = data.get('events', [])
# Avoid duplicates by checking event IDs
existing_ids = {event.get('id') for event in year_events}
new_events = [event for event in date_events if event.get('id') not in existing_ids]
year_events.extend(new_events)
if days_offset == 0: # Today
self.logger.debug(f"[NCAAFB] Current date ({date_str}): fetched {len(new_events)} new events")
except requests.exceptions.RequestException as e:
self.logger.warning(f"[NCAAFB] Error fetching current week date-based data: {e}")
if use_cache:
self.cache_manager.set(cache_key, year_events)
self.logger.info(f"[NCAAFB] Successfully fetched and cached {len(year_events)} events for {year} season.")
@@ -1045,10 +1072,10 @@ class NCAAFBRecentManager(BaseNCAAFBManager): # Renamed class
team_games = [game for game in processed_games
if game['home_abbr'] in self.favorite_teams or
game['away_abbr'] in self.favorite_teams]
self.logger.info(f"[NCAAFB Recent] Found {favorite_games_found} favorite team games out of {len(processed_games)} total final games within last 14 days")
self.logger.info(f"[NCAAFB Recent] Found {favorite_games_found} favorite team games out of {len(processed_games)} total final games within last 21 days")
else:
team_games = processed_games # Show all recent games if no favorites defined
self.logger.info(f"[NCAAFB Recent] Found {len(processed_games)} total final games within last 14 days (no favorite teams configured)")
self.logger.info(f"[NCAAFB Recent] Found {len(processed_games)} total final games within last 21 days (no favorite teams configured)")
# Sort by game time, most recent first
team_games.sort(key=lambda g: g.get('start_time_utc') or datetime.min.replace(tzinfo=timezone.utc), reverse=True)
@@ -1284,8 +1311,14 @@ class NCAAFBUpcomingManager(BaseNCAAFBManager): # Renamed class
processed_games = []
favorite_games_found = 0
all_upcoming_games = 0 # Count all upcoming games regardless of favorites
for event in events:
game = self._extract_game_details(event)
# Count all upcoming games for debugging
if game and game['is_upcoming']:
all_upcoming_games += 1
# Filter criteria: must be upcoming ('pre' state)
if game and game['is_upcoming']:
# Only fetch odds for games that will be displayed
@@ -1302,8 +1335,12 @@ class NCAAFBUpcomingManager(BaseNCAAFBManager): # Renamed class
if self.show_odds:
self._fetch_odds(game)
# Summary logging instead of verbose debug
self.logger.info(f"[NCAAFB Upcoming] Found {len(processed_games)} total upcoming games")
# Enhanced logging for debugging
self.logger.info(f"[NCAAFB Upcoming] Found {all_upcoming_games} total upcoming games in data")
self.logger.info(f"[NCAAFB Upcoming] Found {len(processed_games)} upcoming games after filtering")
if self.favorite_teams and all_upcoming_games > 0:
self.logger.info(f"[NCAAFB Upcoming] Favorite teams: {self.favorite_teams}")
self.logger.info(f"[NCAAFB Upcoming] Found {favorite_games_found} favorite team upcoming games")
# Filter for favorite teams only if the config is set
if self.ncaa_fb_config.get("show_favorite_teams_only", False):