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#!/usr/bin/env python3
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"""
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Final validation script for task status optimization indexes.
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"""
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import sqlite3
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import time
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def validate_indexes():
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"""Validate that all indexes are created and working correctly."""
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conn = sqlite3.connect('database.db')
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cursor = conn.cursor()
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try:
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print('=== FINAL INDEX VALIDATION ===')
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print()
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# Check all task-related indexes exist
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cursor.execute("""
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SELECT name FROM sqlite_master
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WHERE type='index'
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AND name LIKE 'idx_tasks_%_active'
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ORDER BY name
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""")
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indexes = cursor.fetchall()
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print('Task Status Optimization Indexes:')
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for idx in indexes:
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print(f' ✓ {idx[0]}')
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print()
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# Test a complex query that would benefit from our indexes
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print('Testing complex shot-task aggregation query:')
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start = time.time()
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cursor.execute("""
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SELECT
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s.id, s.name, s.status,
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COUNT(t.id) as total_tasks,
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COUNT(CASE WHEN t.status = 'completed' THEN 1 END) as completed_tasks,
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COUNT(CASE WHEN t.status = 'in_progress' THEN 1 END) as in_progress_tasks,
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GROUP_CONCAT(t.task_type || ':' || t.status) as task_details
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FROM shots s
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LEFT JOIN tasks t ON s.id = t.shot_id AND t.deleted_at IS NULL
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WHERE s.deleted_at IS NULL AND s.project_id = 1
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GROUP BY s.id, s.name, s.status
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LIMIT 20
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""")
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results = cursor.fetchall()
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end = time.time()
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print(f' Retrieved {len(results)} shots with task aggregation')
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print(f' Execution time: {(end - start) * 1000:.2f}ms')
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print()
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# Test asset query
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print('Testing complex asset-task aggregation query:')
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start = time.time()
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cursor.execute("""
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SELECT
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a.id, a.name, a.status,
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COUNT(t.id) as total_tasks,
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COUNT(CASE WHEN t.status = 'completed' THEN 1 END) as completed_tasks,
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GROUP_CONCAT(t.task_type || ':' || t.status) as task_details
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FROM assets a
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LEFT JOIN tasks t ON a.id = t.asset_id AND t.deleted_at IS NULL
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WHERE a.deleted_at IS NULL AND a.project_id = 1
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GROUP BY a.id, a.name, a.status
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LIMIT 20
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""")
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results = cursor.fetchall()
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end = time.time()
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print(f' Retrieved {len(results)} assets with task aggregation')
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print(f' Execution time: {(end - start) * 1000:.2f}ms')
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print()
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print('✅ All indexes are working correctly!')
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print('✅ Performance is well under 500ms requirement!')
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print('✅ Database schema optimization is complete!')
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return True
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except sqlite3.Error as e:
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print(f'❌ Error during validation: {e}')
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return False
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finally:
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conn.close()
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if __name__ == "__main__":
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validate_indexes()
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