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ThomasJButlerThomasJButler
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Complete SQL Ball rebrand and fix all core components
🚀 REBRAND TO SQL BALL: - Update title from 'The Premier League Oracle' to 'SQL Ball' - Create custom football SVG logo to replace Vite logo - Update favicon and header with new football icon 🔧 FIX PATTERN DISCOVERY: - Update field mappings to use correct database schema - Replace 'finished' field with proper null checks - Change 'kickoff_time' to 'match_date' for queries - Enable pattern discovery to work with European league data ⚽ QUERY BUILDER IMPROVEMENTS: - Fix auto-execute toggle visual animation - Update all example queries to work with actual schema - Remove references to non-existent fields (home_xg, season_id) - Update schema documentation for accurate SQL generation ✅ SEASON & DATA FIXES: - Ensure 2024-2025 is recognized as current season (Sept 2025) - Verify chart data pulls from correct season - Confirm SeasonStats only shows 2024-2025 option - All components now working with European league data (7,681 matches)
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‎index.html‎

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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/svg+xml" href="/vite.svg" />
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<link rel="icon" type="image/svg+xml" href="/football.svg" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>The Premier League Oracle</title>
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<title>SQL Ball</title>
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</head>
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<body>
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<div id="app"></div>

‎public/football.svg‎

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‎src/components/Header.svelte‎

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</button>
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<div class="flex items-center gap-3">
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<div class="w-10 h-10 bg-gradient-to-br from-green-500 to-emerald-500 rounded-lg flex items-center justify-center">
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<span class="text-white font-bold text-lg">SB</span>
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<div class="w-10 h-10 rounded-lg flex items-center justify-center">
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<img src="/football.svg" alt="SQL Ball" class="w-8 h-8" />
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</div>
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<div>
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<h1 class="text-xl font-bold text-slate-900 dark:text-white">SQL-Ball</h1>

‎src/components/QueryBuilder.svelte‎

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// Natural language examples for the AI-powered query system
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const exampleQueries = [
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"Show me Liverpool's latest Premier League matches",
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"Find Real Madrid vs Barcelona matches this season",
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"Which Bundesliga teams score the most goals at home?",
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"Show me Serie A matches with more than 4 goals",
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"Compare PSG's home vs away record in Ligue 1",
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"Find matches with the most red cards across all leagues",
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"Show Arsenal's Champions League results this season",
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"Which teams in La Liga have the strongest defense?"
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"Show me Liverpool's latest matches this season",
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"Find matches between Real Madrid and Barcelona",
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"Which teams in the Premier League score the most goals at home?",
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"Show me matches with more than 4 total goals",
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"Find all Liverpool matches in 2024-2025 season",
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"Show matches with the most yellow cards",
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"Which teams have the best home record?",
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"Find high-scoring matches in La Liga this season"
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];
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onMount(async () => {
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content: `You are an SQL expert for SQL-Ball, a football analytics platform. Convert natural language queries to PostgreSQL queries.
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Database Schema:
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- seasons table: id, name (e.g., '2023-24', '2024-25')
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- matches table: id, season_id, match_date, home_team, away_team, home_score, away_score, home_xg, away_xg, home_shots, away_shots, result (H/A/D)
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- leagues table: id, league_name, country (e.g., 'Premier League', 'La Liga', 'Bundesliga')
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- teams table: id, team_name, league_id
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- matches table: id, match_date, home_team, away_team, home_score, away_score, result (H/A/D), div (league code like 'E0', 'SP1'), season ('2024-2025'), ht_home_score, ht_away_score, ht_result, referee, home_shots, away_shots, home_shots_target, away_shots_target, home_fouls, away_fouls, home_corners, away_corners, home_yellow_cards, away_yellow_cards, home_red_cards, away_red_cards
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European league codes: E0=Premier League, SP1=La Liga, I1=Serie A, D1=Bundesliga, F1=Ligue 1, etc.
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Rules:
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1. Return ONLY the SQL query, no explanations or markdown
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on:change={toggleAutoExecute}
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class="sr-only peer"
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/>
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<div class="w-11 h-6 bg-slate-200 peer-focus:outline-none peer-focus:ring-2 peer-focus:ring-green-300 dark:peer-focus:ring-green-800 rounded-full peer dark:bg-slate-700 peer-checked:after:translate-x-full peer-checked:after:border-white after:content-[''] after:absolute after:top-[2px] after:left-[2px] after:bg-white after:border-gray-300 after:border after:rounded-full after:h-5 after:w-5 after:transition-all dark:border-gray-600 peer-checked:bg-green-600"></div>
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<div class="relative w-11 h-6 bg-slate-200 peer-focus:outline-none peer-focus:ring-2 peer-focus:ring-green-300 dark:peer-focus:ring-green-800 rounded-full peer dark:bg-slate-700 peer-checked:bg-green-600 transition-colors">
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<div class="absolute top-[2px] left-[2px] bg-white border border-gray-300 rounded-full h-5 w-5 transition-transform {autoExecute ? 'translate-x-full' : 'translate-x-0'} dark:border-gray-600"></div>
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</div>
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</label>
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<span class="text-sm text-slate-600 dark:text-slate-400">Auto-execute</span>
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</div>

‎src/lib/analytics/patternDiscovery.ts‎

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const { data, error } = await supabase
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.from('matches')
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.select('*')
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.eq('finished', true)
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.not('home_score', 'is', null)
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.not('away_score', 'is', null)
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.gt('away_score', 0)
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.order('kickoff_time', { ascending: false })
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.order('match_date', { ascending: false })
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.limit(Math.min(limit * 3, 100));
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if (error) throw error;
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const { data, error } = await supabase
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.from('matches')
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.select('*')
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.eq('finished', true)
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.order('kickoff_time', { ascending: false })
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.not('home_score', 'is', null)
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.not('away_score', 'is', null)
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.order('match_date', { ascending: false })
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.limit(200);
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if (error) throw error;

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