Refactor travel segments and simplify trip options

Travel segment architecture:
- Remove departureTime/arrivalTime from TravelSegment (location-based, not date-based)
- Fix travel sections appearing after destination instead of between cities
- Fix missing travel segments when revisiting same city (consecutive grouping)
- Remove unwanted rest day at end of trip

Planning engine fixes:
- All three planners now group only consecutive games at same stadium
- Visiting A → B → A creates 3 stops with proper travel between

UI simplification:
- Remove redundant sort options (mostDriving/leastDriving, mostCities/leastCities)
- Remove unused "Find Other Sports Along Route" toggle (was dead code)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

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

Scripts/scrape_schedules.py

@@ -4,8 +4,8 @@ Sports Schedule Scraper for SportsTime App
 Scrapes NBA, MLB, NHL schedules from multiple sources for cross-validation.
 
 Usage:
-    python scrape_schedules.py --sport nba --season 2025
-    python scrape_schedules.py --sport all --season 2025
+    python scrape_schedules.py --sport nba --season 2026
+    python scrape_schedules.py --sport all --season 2026
     python scrape_schedules.py --stadiums-only
 """
 
@@ -435,7 +435,7 @@ def scrape_mlb_statsapi(season: int) -> list[Game]:
                         time_str = None
 
                     game = Game(
-                        id=f"mlb_{game_data.get('gamePk', '')}",
+                        id='',  # Will be assigned by assign_stable_ids
                         sport='MLB',
                         season=str(season),
                         date=game_date,
@@ -786,28 +786,34 @@ def generate_stadiums_from_teams() -> list[Stadium]:
 
 def assign_stable_ids(games: list[Game], sport: str, season: str) -> list[Game]:
     """
-    Assign stable IDs based on matchup + occurrence number within season.
-    Format: {sport}_{season}_{away}_{home}_{num}
+    Assign IDs based on matchup + date.
+    Format: {sport}_{season}_{away}_{home}_{MMDD} (or {MMDD}_2 for doubleheaders)
 
-    This ensures IDs don't change when games are rescheduled.
+    When games are rescheduled, the old ID becomes orphaned and a new one is created.
+    Use --delete-all before import to clean up orphaned records.
     """
     from collections import defaultdict
 
-    # Group games by matchup (away @ home)
-    matchups = defaultdict(list)
-    for game in games:
-        key = f"{game.away_team_abbrev}_{game.home_team_abbrev}"
-        matchups[key].append(game)
+    season_str = season.replace('-', '')
 
-    # Sort each matchup by date and assign occurrence number
-    for key, matchup_games in matchups.items():
-        matchup_games.sort(key=lambda g: g.date)
-        for i, game in enumerate(matchup_games, 1):
-            away = game.away_team_abbrev.lower()
-            home = game.home_team_abbrev.lower()
-            # Normalize season format (e.g., "2024-25" -> "2024-25", "2025" -> "2025")
-            season_str = season.replace('-', '')
-            game.id = f"{sport.lower()}_{season_str}_{away}_{home}_{i}"
+    # Track how many times we've seen each base ID (for doubleheaders)
+    id_counts = defaultdict(int)
+
+    for game in games:
+        away = game.away_team_abbrev.lower()
+        home = game.home_team_abbrev.lower()
+        # Extract MMDD from date (YYYY-MM-DD)
+        date_parts = game.date.split('-')
+        mmdd = f"{date_parts[1]}{date_parts[2]}" if len(date_parts) == 3 else "0000"
+
+        base_id = f"{sport.lower()}_{season_str}_{away}_{home}_{mmdd}"
+        id_counts[base_id] += 1
+
+        # Add suffix for doubleheaders (game 2+)
+        if id_counts[base_id] > 1:
+            game.id = f"{base_id}_{id_counts[base_id]}"
+        else:
+            game.id = base_id
 
     return games
 
@@ -892,7 +898,7 @@ def export_to_json(games: list[Game], stadiums: list[Stadium], output_dir: Path)
 def main():
     parser = argparse.ArgumentParser(description='Scrape sports schedules')
     parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'all'], default='all')
-    parser.add_argument('--season', type=int, default=2025, help='Season year (ending year)')
+    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')
     parser.add_argument('--output', type=str, default='./data', help='Output directory')
 
@@ -931,7 +937,7 @@ def main():
         print("="*60)
 
         mlb_games_api = scrape_mlb_statsapi(args.season)
-        # MLB API uses official gamePk which is already stable - no reassignment needed
+        mlb_games_api = assign_stable_ids(mlb_games_api, 'MLB', str(args.season))
         all_games.extend(mlb_games_api)
 
     if args.sport in ['nhl', 'all']: