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Feature/ap top 25 dynamic teams (#68)
* feat: Add AP Top 25 dynamic teams feature - Add DynamicTeamResolver for resolving AP_TOP_25, AP_TOP_10, AP_TOP_5 to actual team abbreviations - Integrate dynamic team resolution into SportsCore base class - Add comprehensive test suite for dynamic team functionality - Update config template with AP_TOP_25 example - Add complete documentation for the new feature Features: - Automatic weekly updates of AP Top 25 rankings - 1-hour caching for performance optimization - Support for AP_TOP_25, AP_TOP_10, AP_TOP_5 dynamic teams - Seamless integration with existing favorite teams system - Comprehensive error handling and edge case support Tests: - Unit tests for core dynamic team resolution - Integration tests for configuration scenarios - Performance tests for caching functionality - Edge case tests for unknown dynamic teams All tests passing with 100% success rate. * docs: Update wiki submodule with AP Top 25 documentation - Add comprehensive documentation for AP Top 25 dynamic teams feature - Include usage examples, configuration guides, and troubleshooting - Update submodule reference to include new documentation * feat: Add AP_TOP_25 support to odds ticker - Integrate DynamicTeamResolver into OddsTickerManager - Resolve dynamic teams for all enabled leagues during initialization - Add comprehensive logging for dynamic team resolution - Support AP_TOP_25, AP_TOP_10, AP_TOP_5 in odds ticker - Add test suite for odds ticker dynamic teams integration Features: - Odds ticker now automatically resolves AP_TOP_25 to current top 25 teams - Shows odds for all current AP Top 25 teams automatically - Updates weekly when rankings change - Works seamlessly with existing favorite teams system - Supports mixed regular and dynamic teams Tests: - Configuration integration tests - Multiple league configuration tests - Edge case handling tests - All tests passing with 100% success rate
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Chuck
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test/test_odds_ticker_simple.py
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164
test/test_odds_ticker_simple.py
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#!/usr/bin/env python3
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"""
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Simple test to verify odds ticker dynamic team resolution works.
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This test focuses on the core functionality without requiring the full LEDMatrix system.
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"""
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import sys
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import os
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# Add the src directory to the path so we can import the dynamic team resolver
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
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from dynamic_team_resolver import DynamicTeamResolver
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def test_odds_ticker_configuration():
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"""Test how dynamic teams would work with odds ticker configuration."""
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print("Testing odds ticker configuration with dynamic teams...")
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# Simulate a typical odds ticker config
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config = {
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"odds_ticker": {
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"enabled": True,
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"show_favorite_teams_only": True,
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"enabled_leagues": ["ncaa_fb"],
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"games_per_favorite_team": 1,
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"max_games_per_league": 5
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},
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"ncaa_fb_scoreboard": {
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"enabled": True,
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"favorite_teams": [
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"UGA",
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"AP_TOP_25"
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]
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}
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}
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# Simulate what the odds ticker would do
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resolver = DynamicTeamResolver()
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# Get the raw favorite teams from config (what odds ticker gets)
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raw_favorite_teams = config.get('ncaa_fb_scoreboard', {}).get('favorite_teams', [])
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print(f"Raw favorite teams from config: {raw_favorite_teams}")
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# Resolve dynamic teams (what odds ticker should do)
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resolved_teams = resolver.resolve_teams(raw_favorite_teams, 'ncaa_fb')
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print(f"Resolved teams: {resolved_teams}")
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print(f"Number of resolved teams: {len(resolved_teams)}")
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# Verify results
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assert "UGA" in resolved_teams, "UGA should be in resolved teams"
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assert "AP_TOP_25" not in resolved_teams, "AP_TOP_25 should be resolved, not left as-is"
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assert len(resolved_teams) > 1, "Should have more than 1 team after resolving AP_TOP_25"
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print("✓ Odds ticker configuration integration works correctly")
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return True
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def test_odds_ticker_league_configs():
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"""Test how dynamic teams work with multiple league configs."""
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print("Testing multiple league configurations...")
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# Simulate league configs that odds ticker would create
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league_configs = {
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'ncaa_fb': {
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'sport': 'football',
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'league': 'college-football',
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'favorite_teams': ['UGA', 'AP_TOP_25'],
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'enabled': True
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},
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'nfl': {
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'sport': 'football',
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'league': 'nfl',
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'favorite_teams': ['DAL', 'TB'],
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'enabled': True
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},
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'nba': {
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'sport': 'basketball',
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'league': 'nba',
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'favorite_teams': ['LAL', 'AP_TOP_10'], # Mixed regular and dynamic
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'enabled': True
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}
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}
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resolver = DynamicTeamResolver()
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# Simulate what odds ticker would do for each league
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for league_key, league_config in league_configs.items():
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if league_config.get('enabled', False):
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raw_favorite_teams = league_config.get('favorite_teams', [])
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if raw_favorite_teams:
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# Resolve dynamic teams for this league
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resolved_teams = resolver.resolve_teams(raw_favorite_teams, league_key)
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league_config['favorite_teams'] = resolved_teams
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print(f"{league_key}: {raw_favorite_teams} -> {resolved_teams}")
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# Verify results
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ncaa_fb_teams = league_configs['ncaa_fb']['favorite_teams']
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assert "UGA" in ncaa_fb_teams, "UGA should be in NCAA FB teams"
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assert "AP_TOP_25" not in ncaa_fb_teams, "AP_TOP_25 should be resolved"
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assert len(ncaa_fb_teams) > 1, "Should have more than 1 NCAA FB team"
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nfl_teams = league_configs['nfl']['favorite_teams']
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assert nfl_teams == ['DAL', 'TB'], "NFL teams should be unchanged (no dynamic teams)"
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nba_teams = league_configs['nba']['favorite_teams']
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assert "LAL" in nba_teams, "LAL should be in NBA teams"
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assert "AP_TOP_10" not in nba_teams, "AP_TOP_10 should be resolved"
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assert len(nba_teams) > 1, "Should have more than 1 NBA team"
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print("✓ Multiple league configurations work correctly")
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return True
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def test_odds_ticker_edge_cases():
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"""Test edge cases for odds ticker dynamic teams."""
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print("Testing edge cases...")
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resolver = DynamicTeamResolver()
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# Test empty favorite teams
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result = resolver.resolve_teams([], 'ncaa_fb')
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assert result == [], "Empty list should return empty list"
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print("✓ Empty favorite teams handling works")
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# Test only regular teams
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result = resolver.resolve_teams(['UGA', 'AUB'], 'ncaa_fb')
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assert result == ['UGA', 'AUB'], "Regular teams should be unchanged"
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print("✓ Regular teams handling works")
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# Test only dynamic teams
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result = resolver.resolve_teams(['AP_TOP_5'], 'ncaa_fb')
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assert len(result) > 0, "Dynamic teams should be resolved"
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assert "AP_TOP_5" not in result, "Dynamic team should be resolved"
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print("✓ Dynamic-only teams handling works")
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# Test unknown dynamic teams
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result = resolver.resolve_teams(['AP_TOP_50'], 'ncaa_fb')
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assert result == [], "Unknown dynamic teams should be filtered out"
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print("✓ Unknown dynamic teams handling works")
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print("✓ All edge cases handled correctly")
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return True
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if __name__ == "__main__":
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try:
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print("🧪 Testing OddsTickerManager Dynamic Teams Integration...")
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print("=" * 70)
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test_odds_ticker_configuration()
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test_odds_ticker_league_configs()
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test_odds_ticker_edge_cases()
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print("\n🎉 All odds ticker dynamic teams tests passed!")
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print("AP_TOP_25 will work correctly with the odds ticker!")
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print("\nThe odds ticker will now:")
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print("- Automatically resolve AP_TOP_25 to current top 25 teams")
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print("- Show odds for all current AP Top 25 teams")
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print("- Update automatically when rankings change")
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print("- Work seamlessly with existing favorite teams")
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except Exception as e:
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print(f"\n❌ Test failed with error: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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