remove cbb

Scripts/run_pipeline.py

@@ -42,7 +42,7 @@ from scrape_schedules import (
     # NWSL sources
     scrape_nwsl_espn, scrape_nwsl_fbref, scrape_nwsl_nwslsoccer,
     # Utilities
-    generate_stadiums_from_teams,
+    scrape_all_stadiums,
 )
 from validate_data import (
     validate_games,
@@ -129,7 +129,7 @@ def run_pipeline(
 
         # Scrape stadiums
         print_section("Stadiums")
-        all_stadiums = generate_stadiums_from_teams()
+        all_stadiums = scrape_all_stadiums()
         print(f"  Generated {len(all_stadiums)} stadiums from team data")
 
         # Scrape by sport with multi-source fallback

Scripts/scrape_schedules.py

@@ -12,8 +12,6 @@ This script coordinates scraping across sport-specific modules:
 - wnba.py: WNBA stadiums
 - nwsl.py: NWSL stadiums
 
-CBB (College Basketball) remains inline pending extraction (350+ D1 teams).
-
 Usage:
     python scrape_schedules.py --sport nba --season 2026
     python scrape_schedules.py --sport all --season 2026
@@ -93,7 +91,6 @@ from nwsl import (
 # =============================================================================
 # NON-CORE SPORT SCRAPERS
 # NOTE: MLS, WNBA, NWSL stadiums are now imported from their respective modules
-# TODO: Extract CBB to separate module (350+ D1 teams requires separate scoped phase)
 # =============================================================================
 
 def _scrape_espn_schedule(sport: str, league: str, season: int, date_range: tuple[str, str]) -> list[Game]:
@@ -106,7 +103,6 @@ def _scrape_espn_schedule(sport: str, league: str, season: int, date_range: tupl
         'wnba': 'WNBA',
         'usa.1': 'MLS',
         'usa.nwsl': 'NWSL',
-        'mens-college-basketball': 'CBB'
     }.get(league, league.upper())
 
     print(f"Fetching {sport_upper} {season} from ESPN API...")
@@ -213,13 +209,6 @@ def scrape_nwsl_espn(season: int) -> list[Game]:
     return _scrape_espn_schedule('soccer', 'usa.nwsl', season, (start, end))
 
 
-def scrape_cbb_espn(season: int) -> list[Game]:
-    """Fetch College Basketball schedule from ESPN API (D1 only)."""
-    start = f"{season-1}1101"
-    end = f"{season}0415"
-    return _scrape_espn_schedule('basketball', 'mens-college-basketball', season, (start, end))
-
-
 def scrape_wnba_basketball_reference(season: int) -> list[Game]:
     """Scrape WNBA schedule from Basketball-Reference."""
     games = []
@@ -339,42 +328,6 @@ def scrape_nwsl_nwslsoccer(season: int) -> list[Game]:
     return games
 
 
-def scrape_cbb_sports_reference(season: int) -> list[Game]:
-    """Scrape College Basketball schedule from Sports-Reference."""
-    games = []
-    print(f"Scraping CBB {season} from Sports-Reference...")
-    # Placeholder - Sports-Reference scraping would go here
-    print(f"  Found {len(games)} games from Sports-Reference")
-    return games
-
-
-def scrape_cbb_cbssports(season: int) -> list[Game]:
-    """Fetch College Basketball schedule from CBS Sports."""
-    games = []
-    print(f"Fetching CBB {season} from CBS Sports...")
-    # Placeholder - CBS Sports scraping would go here
-    print(f"  Found {len(games)} games from CBS Sports")
-    return games
-
-
-# =============================================================================
-# NON-CORE STADIUM SCRAPERS
-# NOTE: scrape_mls_stadiums() is now imported from mls.py
-# NOTE: scrape_wnba_stadiums() is now imported from wnba.py
-# NOTE: scrape_nwsl_stadiums() is now imported from nwsl.py
-# TODO: Extract CBB to separate module (350+ D1 teams requires separate scoped phase)
-# =============================================================================
-
-def scrape_cbb_stadiums() -> list[Stadium]:
-    """Fetch College Basketball arena data."""
-    print("\nCBB STADIUMS")
-    print("-" * 40)
-    stadiums = []
-    # Would include CBB arena data here
-    print(f"  Found {len(stadiums)} CBB arenas")
-    return stadiums
-
-
 # =============================================================================
 # LEGACY STADIUM FUNCTIONS
 # =============================================================================
@@ -407,7 +360,6 @@ def scrape_all_stadiums() -> list[Stadium]:
     all_stadiums.extend(scrape_mls_stadiums())
     all_stadiums.extend(scrape_wnba_stadiums())
     all_stadiums.extend(scrape_nwsl_stadiums())
-    all_stadiums.extend(scrape_cbb_stadiums())
 
     return all_stadiums
 
@@ -444,7 +396,7 @@ def get_team_abbrev(team_name: str, sport: str) -> str:
 
 def main():
     parser = argparse.ArgumentParser(description='Scrape sports schedules')
-    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'], default='all')
+    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'all'], default='all')
     parser.add_argument('--season', type=int, default=2026, help='Season year (ending year)')
     parser.add_argument('--stadiums-only', action='store_true', help='Only scrape stadium data (legacy method)')
     parser.add_argument('--stadiums-update', action='store_true', help='Scrape ALL stadium data for all 8 sports (comprehensive)')
@@ -550,20 +502,6 @@ def main():
         nwsl_games = assign_stable_ids(nwsl_games, 'NWSL', str(args.season))
         all_games.extend(nwsl_games)
 
-    if args.sport in ['cbb', 'all']:
-        print("\n" + "="*60)
-        print(f"SCRAPING CBB {args.season}")
-        print("="*60)
-        cbb_sources = [
-            ScraperSource('ESPN', scrape_cbb_espn, priority=1, min_games=1000),
-            ScraperSource('Sports-Reference', scrape_cbb_sports_reference, priority=2, min_games=500),
-            ScraperSource('CBS Sports', scrape_cbb_cbssports, priority=3, min_games=300),
-        ]
-        cbb_games = scrape_with_fallback('CBB', args.season, cbb_sources)
-        cbb_season = f"{args.season-1}-{str(args.season)[2:]}"
-        cbb_games = assign_stable_ids(cbb_games, 'CBB', cbb_season)
-        all_games.extend(cbb_games)
-
     # Export
     print("\n" + "="*60)
     print("EXPORTING DATA")

Scripts/sportstime.py

@@ -123,11 +123,11 @@ def get_season_and_sport(mode: str):
     print(f"\n{Colors.BOLD}Select sport:{Colors.RESET}")
     print(f"  {Colors.GREEN}[1]{Colors.RESET} All Sports")
     print(f"  {Colors.GREEN}[2]{Colors.RESET} MLB    {Colors.GREEN}[3]{Colors.RESET} NBA    {Colors.GREEN}[4]{Colors.RESET} NHL    {Colors.GREEN}[5]{Colors.RESET} NFL")
-    print(f"  {Colors.GREEN}[6]{Colors.RESET} MLS    {Colors.GREEN}[7]{Colors.RESET} WNBA   {Colors.GREEN}[8]{Colors.RESET} NWSL   {Colors.GREEN}[9]{Colors.RESET} CBB")
+    print(f"  {Colors.GREEN}[6]{Colors.RESET} MLS    {Colors.GREEN}[7]{Colors.RESET} WNBA   {Colors.GREEN}[8]{Colors.RESET} NWSL")
 
     sport_map = {
         '1': 'all', '2': 'mlb', '3': 'nba', '4': 'nhl', '5': 'nfl',
-        '6': 'mls', '7': 'wnba', '8': 'nwsl', '9': 'cbb'
+        '6': 'mls', '7': 'wnba', '8': 'nwsl'
     }
 
     sport_choice = input(f"{Colors.CYAN}Enter choice [1]:{Colors.RESET} ").strip()
@@ -156,7 +156,6 @@ def scrape_submenu():
         ('6', 'mls', 'MLS - Major League Soccer'),
         ('7', 'wnba', 'WNBA - Women\'s National Basketball Association'),
         ('8', 'nwsl', 'NWSL - National Women\'s Soccer League'),
-        ('9', 'cbb', 'CBB - College Basketball'),
         ('b', 'back', 'Back to main menu'),
     ]
 
@@ -235,7 +234,6 @@ def pipeline_submenu():
         ('6', 'mls', 'MLS only'),
         ('7', 'wnba', 'WNBA only'),
         ('8', 'nwsl', 'NWSL only'),
-        ('9', 'cbb', 'CBB only'),
         ('b', 'back', 'Back to main menu'),
     ]
 
@@ -624,7 +622,7 @@ Examples:
     )
     scrape_parser.add_argument(
         '--sport',
-        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'],
+        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'all'],
         default='all',
         help='Sport to scrape (default: all)'
     )
@@ -653,7 +651,7 @@ Examples:
     stadiums_update_parser = subparsers.add_parser(
         'stadiums-update',
         help='Scrape ALL stadium data for all 8 sports',
-        description='Comprehensive stadium scraping for NBA, MLB, NHL, NFL, WNBA, MLS, NWSL, and CBB'
+        description='Comprehensive stadium scraping for NBA, MLB, NHL, NFL, WNBA, MLS, and NWSL'
     )
     stadiums_update_parser.add_argument(
         '--output',
@@ -893,7 +891,7 @@ Examples:
     )
     pipeline_parser.add_argument(
         '--sport',
-        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'],
+        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'all'],
         default='all',
         help='Sport to process (default: all)'
     )
@@ -934,7 +932,7 @@ Examples:
     )
     full_pipeline_parser.add_argument(
         '--sport',
-        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'],
+        choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'all'],
         default='all',
         help='Sport to process (default: all)'
     )

Scripts/validate_canonical.py

@@ -91,8 +91,6 @@ EXPECTED_GAMES = {
         'max': 30,
         'description': 'NWSL regular season (26 games)'
     },
-    # Note: CBB doesn't have fixed game counts per "team"
-    # CBB teams vary widely (30+ games)
 }
 
 

Scripts/validate_data.py

@@ -27,7 +27,7 @@ from nfl import scrape_nfl_espn, NFL_TEAMS
 
 # Import secondary sports from scrape_schedules (stubs)
 from scrape_schedules import (
-    scrape_wnba_espn, scrape_mls_espn, scrape_nwsl_espn, scrape_cbb_espn,
+    scrape_wnba_espn, scrape_mls_espn, scrape_nwsl_espn,
     WNBA_TEAMS, MLS_TEAMS, NWSL_TEAMS,
 )
 
@@ -474,7 +474,7 @@ def main():
     parser.add_argument('--data-dir', type=str, default='./data', help='Data directory')
     parser.add_argument('--scrape-and-validate', action='store_true', help='Scrape fresh and validate')
     parser.add_argument('--season', type=int, default=2025, help='Season year')
-    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'], default='all')
+    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'all'], default='all')
     parser.add_argument('--output', type=str, default='./data/validation_report.json')
 
     args = parser.parse_args()