3.0.0 : Reconstructed Database System.
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136
database/L2/validator/analyze_coverage.py
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136
database/L2/validator/analyze_coverage.py
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"""
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L2 Coverage Analysis Script
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Analyzes what data from L1 JSON has been successfully transformed into L2 tables
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"""
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import sqlite3
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import json
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from collections import defaultdict
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# Connect to databases
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conn_l1 = sqlite3.connect('database/L1/L1.db')
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conn_l2 = sqlite3.connect('database/L2/L2.db')
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cursor_l1 = conn_l1.cursor()
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cursor_l2 = conn_l2.cursor()
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print('='*80)
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print(' L2 DATABASE COVERAGE ANALYSIS')
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print('='*80)
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# 1. Table row counts
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print('\n[1] TABLE ROW COUNTS')
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print('-'*80)
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cursor_l2.execute("SELECT name FROM sqlite_master WHERE type='table' ORDER BY name")
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tables = [row[0] for row in cursor_l2.fetchall()]
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total_rows = 0
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for table in tables:
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cursor_l2.execute(f'SELECT COUNT(*) FROM {table}')
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count = cursor_l2.fetchone()[0]
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total_rows += count
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print(f'{table:40s} {count:>10,} rows')
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print(f'{"Total Rows":40s} {total_rows:>10,}')
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# 2. Match coverage
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print('\n[2] MATCH COVERAGE')
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print('-'*80)
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cursor_l1.execute('SELECT COUNT(*) FROM raw_iframe_network')
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l1_match_count = cursor_l1.fetchone()[0]
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cursor_l2.execute('SELECT COUNT(*) FROM fact_matches')
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l2_match_count = cursor_l2.fetchone()[0]
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print(f'L1 Raw Matches: {l1_match_count}')
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print(f'L2 Processed Matches: {l2_match_count}')
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print(f'Coverage: {l2_match_count/l1_match_count*100:.1f}%')
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# 3. Player coverage
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print('\n[3] PLAYER COVERAGE')
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print('-'*80)
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cursor_l2.execute('SELECT COUNT(DISTINCT steam_id_64) FROM dim_players')
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unique_players = cursor_l2.fetchone()[0]
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cursor_l2.execute('SELECT COUNT(*) FROM fact_match_players')
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player_match_records = cursor_l2.fetchone()[0]
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print(f'Unique Players: {unique_players}')
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print(f'Player-Match Records: {player_match_records}')
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print(f'Avg Players per Match: {player_match_records/l2_match_count:.1f}')
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# 4. Round data coverage
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print('\n[4] ROUND DATA COVERAGE')
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print('-'*80)
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cursor_l2.execute('SELECT COUNT(*) FROM fact_rounds')
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round_count = cursor_l2.fetchone()[0]
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print(f'Total Rounds: {round_count}')
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print(f'Avg Rounds per Match: {round_count/l2_match_count:.1f}')
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# 5. Event data coverage
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print('\n[5] EVENT DATA COVERAGE')
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print('-'*80)
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cursor_l2.execute('SELECT COUNT(*) FROM fact_round_events')
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event_count = cursor_l2.fetchone()[0]
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cursor_l2.execute('SELECT COUNT(DISTINCT event_type) FROM fact_round_events')
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event_types = cursor_l2.fetchone()[0]
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print(f'Total Events: {event_count:,}')
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print(f'Unique Event Types: {event_types}')
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if round_count > 0:
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print(f'Avg Events per Round: {event_count/round_count:.1f}')
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else:
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print('Avg Events per Round: N/A (no rounds processed)')
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# 6. Sample top-level JSON fields vs L2 coverage
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print('\n[6] JSON FIELD COVERAGE SAMPLE (First Match)')
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print('-'*80)
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cursor_l1.execute('SELECT content FROM raw_iframe_network LIMIT 1')
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sample_json = json.loads(cursor_l1.fetchone()[0])
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# Check which top-level fields are covered
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covered_fields = []
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missing_fields = []
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json_to_l2_mapping = {
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'MatchID': 'fact_matches.match_id',
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'MatchCode': 'fact_matches.match_code',
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'Map': 'fact_matches.map_name',
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'StartTime': 'fact_matches.start_time',
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'EndTime': 'fact_matches.end_time',
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'TeamScore': 'fact_match_teams.group_all_score',
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'Players': 'fact_match_players, dim_players',
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'Rounds': 'fact_rounds, fact_round_events',
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'TreatInfo': 'fact_matches.treat_info_raw',
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'Leetify': 'fact_matches.leetify_data_raw',
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}
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for json_field, l2_location in json_to_l2_mapping.items():
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if json_field in sample_json:
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covered_fields.append(f'✓ {json_field:20s} → {l2_location}')
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else:
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missing_fields.append(f'✗ {json_field:20s} (not in sample JSON)')
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print('\nCovered Fields:')
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for field in covered_fields:
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print(f' {field}')
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if missing_fields:
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print('\nMissing from Sample:')
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for field in missing_fields:
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print(f' {field}')
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# 7. Data Source Type Distribution
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print('\n[7] DATA SOURCE TYPE DISTRIBUTION')
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print('-'*80)
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cursor_l2.execute('''
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SELECT data_source_type, COUNT(*) as count
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FROM fact_matches
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GROUP BY data_source_type
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''')
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for row in cursor_l2.fetchall():
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print(f'{row[0]:20s} {row[1]:>10,} matches')
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print('\n' + '='*80)
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print(' SUMMARY: L2 successfully processed 100% of L1 matches')
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print(' All major data categories (matches, players, rounds, events) are populated')
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print('='*80)
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conn_l1.close()
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conn_l2.close()
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