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#!/usr/bin/env python3
"""
Run comprehensive GAIA tests across all classification groups
This script orchestrates the complete testing workflow and analysis
"""
import subprocess
import time
import json
from pathlib import Path
from datetime import datetime
def run_command(command, description, timeout=1800):
"""Run a command with timeout and capture output"""
print(f"\n🚀 {description}")
print(f"Command: {command}")
print("-" * 60)
try:
result = subprocess.run(
command,
shell=True,
capture_output=True,
text=True,
timeout=timeout
)
if result.returncode == 0:
print("✅ SUCCESS")
print(f"Output: {result.stdout[:500]}...")
return True, result.stdout
else:
print("❌ FAILED")
print(f"Error: {result.stderr[:500]}...")
return False, result.stderr
except subprocess.TimeoutExpired:
print(f"⏰ TIMEOUT after {timeout}s")
return False, "Command timed out"
except Exception as e:
print(f"💥 EXCEPTION: {e}")
return False, str(e)
def main():
"""Run comprehensive testing workflow"""
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
print("🎯 COMPREHENSIVE GAIA TESTING WORKFLOW")
print("=" * 70)
print(f"Started: {datetime.now()}")
# Activate virtual environment prefix
venv_prefix = "source venv/bin/activate &&"
# Test plan - run each agent type separately for better error analysis
test_plan = [
{
"name": "Research Questions",
"command": f"{venv_prefix} python tests/test_by_classification.py --agent-types research",
"timeout": 1800,
"priority": "HIGH"
},
{
"name": "Multimedia Questions",
"command": f"{venv_prefix} python tests/test_by_classification.py --agent-types multimedia",
"timeout": 2400,
"priority": "HIGH"
},
{
"name": "Logic/Math Questions",
"command": f"{venv_prefix} python tests/test_by_classification.py --agent-types logic_math",
"timeout": 1200,
"priority": "MEDIUM"
},
{
"name": "File Processing Questions",
"command": f"{venv_prefix} python tests/test_by_classification.py --agent-types file_processing",
"timeout": 900,
"priority": "MEDIUM"
},
{
"name": "All Agent Types (Complete)",
"command": f"{venv_prefix} python tests/test_by_classification.py",
"timeout": 3600,
"priority": "LOW"
}
]
results = []
# Execute test plan
for i, test in enumerate(test_plan, 1):
print(f"\n{'='*20} TEST {i}/{len(test_plan)} {'='*20}")
print(f"Name: {test['name']}")
print(f"Priority: {test['priority']}")
start_time = time.time()
success, output = run_command(
test['command'],
test['name'],
test['timeout']
)
end_time = time.time()
result = {
'test_name': test['name'],
'command': test['command'],
'priority': test['priority'],
'success': success,
'duration': end_time - start_time,
'output_preview': output[:200] if output else "",
'timestamp': datetime.now().isoformat()
}
results.append(result)
# Brief pause between tests
time.sleep(5)
# Generate summary report
print(f"\n📊 COMPREHENSIVE TEST SUMMARY")
print("=" * 70)
total_tests = len(test_plan)
successful_tests = len([r for r in results if r['success']])
failed_tests = total_tests - successful_tests
print(f"Total Tests: {total_tests}")
print(f"Successful: {successful_tests} ({successful_tests/total_tests*100:.1f}%)")
print(f"Failed: {failed_tests} ({failed_tests/total_tests*100:.1f}%)")
print(f"\n📋 DETAILED RESULTS:")
for result in results:
status = "✅" if result['success'] else "❌"
duration = result['duration']
print(f" {status} {result['test_name']}: {duration:.1f}s ({result['priority']} priority)")
# Save comprehensive results
results_file = f"comprehensive_test_results_{timestamp}.json"
with open(results_file, 'w') as f:
json.dump({
'metadata': {
'timestamp': timestamp,
'total_tests': total_tests,
'successful_tests': successful_tests,
'failed_tests': failed_tests,
'success_rate': successful_tests/total_tests*100
},
'test_results': results
}, f, indent=2)
print(f"\n💾 Results saved to: {results_file}")
# Generate action items based on results
print(f"\n📋 NEXT STEPS:")
high_priority_failures = [r for r in results if not r['success'] and r['priority'] == 'HIGH']
if high_priority_failures:
print("🔴 HIGH PRIORITY FIXES NEEDED:")
for failure in high_priority_failures:
print(f" - Fix {failure['test_name']}")
print(f" Command: {failure['command']}")
medium_priority_failures = [r for r in results if not r['success'] and r['priority'] == 'MEDIUM']
if medium_priority_failures:
print("🟡 MEDIUM PRIORITY IMPROVEMENTS:")
for failure in medium_priority_failures:
print(f" - Optimize {failure['test_name']}")
if successful_tests == total_tests:
print("🎉 ALL TESTS PASSED! Ready for production use.")
print("💡 Consider running specific error analysis on individual results files")
# Find the most recent results files for analysis
log_files = list(Path("logs").glob("classification_test_*.log"))
if log_files:
latest_log = max(log_files, key=lambda x: x.stat().st_mtime)
print(f"📋 Latest log file: {latest_log}")
result_files = list(Path(".").glob("gaia_classification_test_results_*.json"))
if result_files:
latest_results = max(result_files, key=lambda x: x.stat().st_mtime)
print(f"📊 Latest results: {latest_results}")
print(f"🔍 Analyze with: python tests/analyze_test_results.py {latest_results}")
print(f"\n✅ COMPREHENSIVE TESTING COMPLETE!")
print(f"Total Duration: {sum(r['duration'] for r in results):.1f}s")
if __name__ == "__main__":
main() |