feat(02.1-01): integrate MLS module with scrape_schedules.py

- Import MLS_TEAMS, get_mls_team_abbrev, scrape_mls_stadiums from mls.py
- Remove inline MLS_TEAMS dict (now imported from module)
- Remove inline MLS stadium scraper functions (now in mls.py)
- Update TODO comments to reflect MLS extraction complete

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Scripts/scrape_schedules.py

@@ -67,11 +67,18 @@ from nfl import (
     get_nfl_season_string,
     NFL_TEAMS,
 )
+from mls import (
+    MLS_TEAMS,
+    get_mls_team_abbrev,
+    scrape_mls_stadiums,
+    MLS_STADIUM_SOURCES,
+)
 
 
 # =============================================================================
 # NON-CORE SPORT TEAM MAPPINGS
-# TODO: Extract to separate modules (wnba.py, mls.py, nwsl.py, cbb.py)
+# TODO: Extract to separate modules (wnba.py, nwsl.py, cbb.py)
+# NOTE: MLS_TEAMS is now imported from mls.py
 # =============================================================================
 
 WNBA_TEAMS = {
@@ -90,39 +97,6 @@ WNBA_TEAMS = {
     'WAS': {'name': 'Washington Mystics', 'city': 'Washington', 'arena': 'Entertainment & Sports Arena'},
 }
 
-MLS_TEAMS = {
-    'ATL': {'name': 'Atlanta United FC', 'city': 'Atlanta', 'stadium': 'Mercedes-Benz Stadium'},
-    'AUS': {'name': 'Austin FC', 'city': 'Austin', 'stadium': 'Q2 Stadium'},
-    'CLT': {'name': 'Charlotte FC', 'city': 'Charlotte', 'stadium': 'Bank of America Stadium'},
-    'CHI': {'name': 'Chicago Fire FC', 'city': 'Chicago', 'stadium': 'Soldier Field'},
-    'CIN': {'name': 'FC Cincinnati', 'city': 'Cincinnati', 'stadium': 'TQL Stadium'},
-    'COL': {'name': 'Colorado Rapids', 'city': 'Commerce City', 'stadium': "Dick's Sporting Goods Park"},
-    'CLB': {'name': 'Columbus Crew', 'city': 'Columbus', 'stadium': 'Lower.com Field'},
-    'DAL': {'name': 'FC Dallas', 'city': 'Frisco', 'stadium': 'Toyota Stadium'},
-    'DC': {'name': 'D.C. United', 'city': 'Washington', 'stadium': 'Audi Field'},
-    'HOU': {'name': 'Houston Dynamo FC', 'city': 'Houston', 'stadium': 'Shell Energy Stadium'},
-    'LAG': {'name': 'LA Galaxy', 'city': 'Carson', 'stadium': 'Dignity Health Sports Park'},
-    'LAFC': {'name': 'Los Angeles FC', 'city': 'Los Angeles', 'stadium': 'BMO Stadium'},
-    'MIA': {'name': 'Inter Miami CF', 'city': 'Fort Lauderdale', 'stadium': 'Chase Stadium'},
-    'MIN': {'name': 'Minnesota United FC', 'city': 'Saint Paul', 'stadium': 'Allianz Field'},
-    'MTL': {'name': 'CF Montreal', 'city': 'Montreal', 'stadium': 'Stade Saputo'},
-    'NSH': {'name': 'Nashville SC', 'city': 'Nashville', 'stadium': 'Geodis Park'},
-    'NE': {'name': 'New England Revolution', 'city': 'Foxborough', 'stadium': 'Gillette Stadium'},
-    'NYCFC': {'name': 'New York City FC', 'city': 'New York', 'stadium': 'Yankee Stadium'},
-    'NYRB': {'name': 'New York Red Bulls', 'city': 'Harrison', 'stadium': 'Red Bull Arena'},
-    'ORL': {'name': 'Orlando City SC', 'city': 'Orlando', 'stadium': 'Inter&Co Stadium'},
-    'PHI': {'name': 'Philadelphia Union', 'city': 'Chester', 'stadium': 'Subaru Park'},
-    'POR': {'name': 'Portland Timbers', 'city': 'Portland', 'stadium': 'Providence Park'},
-    'RSL': {'name': 'Real Salt Lake', 'city': 'Sandy', 'stadium': 'America First Field'},
-    'SJ': {'name': 'San Jose Earthquakes', 'city': 'San Jose', 'stadium': 'PayPal Park'},
-    'SEA': {'name': 'Seattle Sounders FC', 'city': 'Seattle', 'stadium': 'Lumen Field'},
-    'SKC': {'name': 'Sporting Kansas City', 'city': 'Kansas City', 'stadium': "Children's Mercy Park"},
-    'STL': {'name': 'St. Louis City SC', 'city': 'St. Louis', 'stadium': 'CityPark'},
-    'TOR': {'name': 'Toronto FC', 'city': 'Toronto', 'stadium': 'BMO Field'},
-    'VAN': {'name': 'Vancouver Whitecaps FC', 'city': 'Vancouver', 'stadium': 'BC Place'},
-    'SD': {'name': 'San Diego FC', 'city': 'San Diego', 'stadium': 'Snapdragon Stadium'},
-}
-
 NWSL_TEAMS = {
     'LA': {'name': 'Angel City FC', 'city': 'Los Angeles', 'stadium': 'BMO Stadium'},
     'SJ': {'name': 'Bay FC', 'city': 'San Jose', 'stadium': 'PayPal Park'},
@@ -408,87 +382,10 @@ def scrape_cbb_cbssports(season: int) -> list[Game]:
 
 # =============================================================================
 # NON-CORE STADIUM SCRAPERS
-# TODO: Extract to separate modules
+# TODO: Extract to separate modules (wnba.py, nwsl.py, cbb.py)
+# NOTE: scrape_mls_stadiums() is now imported from mls.py
 # =============================================================================
 
-def scrape_mls_stadiums_geojson() -> list[Stadium]:
-    """Source 1: gavinr/usa-soccer GeoJSON."""
-    stadiums = []
-    url = "https://raw.githubusercontent.com/gavinr/usa-soccer/master/mls.geojson"
-
-    response = requests.get(url, timeout=30)
-    response.raise_for_status()
-    data = response.json()
-
-    for feature in data.get('features', []):
-        props = feature.get('properties', {})
-        coords = feature.get('geometry', {}).get('coordinates', [0, 0])
-
-        stadium = Stadium(
-            id=f"mls_{props.get('stadium', '').lower().replace(' ', '_')[:30]}",
-            name=props.get('stadium', ''),
-            city=props.get('city', ''),
-            state=props.get('state', ''),
-            latitude=coords[1] if len(coords) > 1 else 0,
-            longitude=coords[0] if len(coords) > 0 else 0,
-            capacity=props.get('capacity', 0),
-            sport='MLS',
-            team_abbrevs=[props.get('team', '')],
-            source='github.com/gavinr'
-        )
-        stadiums.append(stadium)
-
-    return stadiums
-
-
-def scrape_mls_stadiums_csv() -> list[Stadium]:
-    """Source 2: gavinr/usa-soccer CSV."""
-    stadiums = []
-    url = "https://raw.githubusercontent.com/gavinr/usa-soccer/master/mls.csv"
-
-    response = requests.get(url, timeout=30)
-    response.raise_for_status()
-
-    reader = csv.DictReader(StringIO(response.text))
-
-    for row in reader:
-        stadium = Stadium(
-            id=f"mls_{row.get('stadium', '').lower().replace(' ', '_')[:30]}",
-            name=row.get('stadium', ''),
-            city=row.get('city', ''),
-            state=row.get('state', ''),
-            latitude=float(row.get('lat', 0) or 0),
-            longitude=float(row.get('lng', 0) or 0),
-            capacity=int(row.get('capacity', 0) or 0),
-            sport='MLS',
-            team_abbrevs=[row.get('team', '')],
-            source='github.com/gavinr/csv'
-        )
-        stadiums.append(stadium)
-
-    return stadiums
-
-
-def scrape_mls_stadiums_hardcoded() -> list[Stadium]:
-    """Source 3: Hardcoded MLS stadiums (fallback)."""
-    # Placeholder - would include full stadium list
-    return []
-
-
-def scrape_mls_stadiums() -> list[Stadium]:
-    """Fetch MLS stadium data with multi-source fallback."""
-    print("\nMLS STADIUMS")
-    print("-" * 40)
-
-    sources = [
-        StadiumScraperSource('gavinr GeoJSON', scrape_mls_stadiums_geojson, priority=1, min_venues=20),
-        StadiumScraperSource('gavinr CSV', scrape_mls_stadiums_csv, priority=2, min_venues=20),
-        StadiumScraperSource('Hardcoded', scrape_mls_stadiums_hardcoded, priority=3, min_venues=20),
-    ]
-
-    return scrape_stadiums_with_fallback('MLS', sources)
-
-
 def scrape_wnba_stadiums() -> list[Stadium]:
     """Fetch WNBA arena data (hardcoded)."""
     print("\nWNBA STADIUMS")