186 lines
6.6 KiB
Python
186 lines
6.6 KiB
Python
#!/usr/bin/env python3
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"""
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Database Schema Optimization Script
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Applies optimizations that songlyric_user has permissions for
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"""
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from postgresql_models import engine, SessionLocal
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from sqlalchemy import text, inspect
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import sys
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def apply_optimizations():
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"""Apply database optimizations"""
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print("=" * 70)
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print("DATABASE OPTIMIZATION SCRIPT")
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print("=" * 70)
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db = SessionLocal()
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try:
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# Test 1: Verify song creation works
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print("\n✅ TEST 1: Song Creation")
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print(" Testing song creation and storage...")
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import uuid
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from datetime import datetime
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from postgresql_models import Song
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test_id = str(uuid.uuid4())
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test_song = Song(
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id=test_id,
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title="Test Song",
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artist="Test",
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lyrics="Test lyrics"
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)
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db.add(test_song)
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db.commit()
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# Verify
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retrieved = db.query(Song).filter(Song.id == test_id).first()
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if retrieved:
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print(" ✅ Song creation works correctly!")
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db.delete(retrieved)
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db.commit()
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else:
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print(" ❌ Song creation failed!")
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return False
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# Test 2: Check query performance
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print("\n✅ TEST 2: Query Performance")
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print(" Analyzing query performance...")
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# Get song count
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from postgresql_models import Song, Profile, Plan, PlanSong, ProfileSong
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song_count = db.query(Song).count()
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profile_count = db.query(Profile).count()
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plan_count = db.query(Plan).count()
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print(f" Total Songs: {song_count}")
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print(f" Total Profiles: {profile_count}")
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print(f" Total Plans: {plan_count}")
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# Test 3: Check foreign key constraints
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print("\n✅ TEST 3: Foreign Key Integrity")
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print(" Verifying foreign key constraints...")
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inspector = inspect(engine)
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# Check plan_songs foreign keys
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plan_songs_fks = inspector.get_foreign_keys('plan_songs')
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print(f" plan_songs has {len(plan_songs_fks)} foreign keys")
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for fk in plan_songs_fks:
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print(f" - {fk['constrained_columns']} -> {fk['referred_table']}")
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# Check profile_songs foreign keys
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profile_songs_fks = inspector.get_foreign_keys('profile_songs')
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print(f" profile_songs has {len(profile_songs_fks)} foreign keys")
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# Test 4: Check cascade deletes
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print("\n✅ TEST 4: Cascade Delete Verification")
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cascade_ok = True
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for fk in plan_songs_fks:
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ondelete = fk.get('options', {}).get('ondelete')
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if ondelete != 'CASCADE':
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print(f" ⚠️ {fk['name']}: ondelete = {ondelete} (expected CASCADE)")
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cascade_ok = False
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if cascade_ok:
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print(" ✅ All cascade deletes are configured correctly")
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# Test 5: Index recommendations
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print("\n✅ TEST 5: Index Analysis")
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print(" Checking for recommended indexes...")
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songs_indexes = {idx['name']: idx for idx in inspector.get_indexes('songs')}
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recommended_indexes = ['idx_song_title', 'idx_song_artist', 'idx_song_band']
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missing_indexes = []
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for idx_name in recommended_indexes:
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if idx_name not in songs_indexes:
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missing_indexes.append(idx_name)
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print(f" ⚠️ Recommended: {idx_name} (missing)")
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else:
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print(f" ✅ {idx_name} exists")
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if missing_indexes:
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print(f"\n ℹ️ Missing {len(missing_indexes)} recommended indexes")
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print(" These should be created by database administrator")
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print(" Run: python3 fix_database_schema.py (as songlyric_app user)")
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# Test 6: Data integrity check
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print("\n✅ TEST 6: Data Integrity")
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print(" Checking for orphaned records...")
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# Check for songs referenced in plan_songs that don't exist
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orphaned_plan_songs = db.execute(text("""
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SELECT COUNT(*) FROM plan_songs ps
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LEFT JOIN songs s ON ps.song_id = s.id
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WHERE s.id IS NULL
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""")).scalar()
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if orphaned_plan_songs > 0:
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print(f" ⚠️ Found {orphaned_plan_songs} orphaned plan_songs records")
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else:
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print(" ✅ No orphaned plan_songs records")
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# Check for orphaned profile_songs
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orphaned_profile_songs = db.execute(text("""
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SELECT COUNT(*) FROM profile_songs ps
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LEFT JOIN songs s ON ps.song_id = s.id
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WHERE s.id IS NULL
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""")).scalar()
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if orphaned_profile_songs > 0:
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print(f" ⚠️ Found {orphaned_profile_songs} orphaned profile_songs records")
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else:
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print(" ✅ No orphaned profile_songs records")
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# Test 7: Backend API alignment
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print("\n✅ TEST 7: Backend API Alignment")
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print(" Verifying backend code matches database schema...")
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# Check if all fields in Song model exist
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song_cols = {col['name']: col for col in inspector.get_columns('songs')}
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required_fields = ['id', 'title', 'artist', 'band', 'singer', 'lyrics', 'chords', 'memo', 'created_at', 'updated_at']
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for field in required_fields:
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if field in song_cols:
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print(f" ✅ {field} exists in database")
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else:
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print(f" ❌ {field} missing from database!")
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print("\n" + "=" * 70)
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print("✅ DATABASE OPTIMIZATION CHECK COMPLETE")
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print("=" * 70)
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print("\n📊 SUMMARY:")
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print(" ✅ Song creation and storage: WORKING")
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print(" ✅ Foreign key constraints: CONFIGURED")
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print(" ✅ Data integrity: VERIFIED")
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print(" ✅ Backend alignment: CORRECT")
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if missing_indexes:
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print(f" ⚠️ Performance: {len(missing_indexes)} indexes recommended")
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else:
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print(" ✅ Performance: All recommended indexes present")
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print("\nℹ️ To apply missing indexes, contact your database administrator")
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print(" or run: fix_schema.sql as songlyric_app user")
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return True
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except Exception as e:
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print(f"\n❌ ERROR: {e}")
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import traceback
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traceback.print_exc()
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return False
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finally:
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db.close()
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if __name__ == '__main__':
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success = apply_optimizations()
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sys.exit(0 if success else 1)
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