LFS/test_ml_production.py at master · psc108/LFS · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
#!/usr/bin/env python3
"""
Test Production ML Integration
Verify real system integration works
"""

import sys
import os
import unittest
from unittest.mock import Mock

sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))

class TestMLProduction(unittest.TestCase):

    def setUp(self):
        self.mock_db = Mock()
        self.mock_db.execute_query.return_value = []

    def test_production_git_integration(self):
        """Test production Git integration"""
        try:
            from ml.phase2.production_integrator import ProductionGitIntegrator

            git_integrator = ProductionGitIntegrator()
            features = git_integrator.extract_real_git_features('test_build')

            # Should return dict even if Git commands fail
            self.assertIsInstance(features, dict)
            print("✅ Production Git integration: PASS")

        except Exception as e:
            self.fail(f"Production Git integration failed: {e}")

    def test_production_system_monitor(self):
        """Test production system monitoring"""
        try:
            from ml.phase2.production_integrator import ProductionSystemMonitor

            monitor = ProductionSystemMonitor()
            metrics = monitor.get_real_system_metrics()

            # Should return system metrics
            self.assertIsInstance(metrics, dict)
            if metrics:  # If psutil is available
                self.assertIn('cpu_percent', metrics)
                self.assertIn('memory_percent', metrics)

            print("✅ Production system monitor: PASS")

        except Exception as e:
            self.fail(f"Production system monitor failed: {e}")

    def test_production_security_integration(self):
        """Test production security integration"""
        try:
            from ml.phase2.production_integrator import ProductionSecurityIntegrator

            security = ProductionSecurityIntegrator()
            metrics = security.get_real_security_metrics()

            # Should return security metrics
            self.assertIsInstance(metrics, dict)
            print("✅ Production security integration: PASS")

        except Exception as e:
            self.fail(f"Production security integration failed: {e}")

    def test_ml_engine_production_prediction(self):
        """Test ML engine production prediction"""
        try:
            from ml.ml_engine import MLEngine

            ml_engine = MLEngine(self.mock_db)

            # Test production prediction
            build_data = {'build_id': 'test_123', 'stage_count': 10}
            result = ml_engine.predict_production(build_data)

            if result:  # May be None if dependencies missing
                self.assertIn('production_prediction', result)
                self.assertIn('real_system_features', result)

            print("✅ ML Engine production prediction: PASS")

        except Exception as e:
            self.fail(f"ML Engine production prediction failed: {e}")

def run_production_test():
    """Run production ML test"""
    print("=" * 60)
    print("PRODUCTION ML INTEGRATION TEST")
    print("=" * 60)

    suite = unittest.TestLoader().loadTestsFromTestCase(TestMLProduction)
    runner = unittest.TextTestRunner(verbosity=0, stream=open(os.devnull, 'w'))
    result = runner.run(suite)

    total_tests = result.testsRun
    failures = len(result.failures)
    errors = len(result.errors)
    passed = total_tests - failures - errors

    print(f"Total Tests: {total_tests}")
    print(f"Passed: {passed}")
    print(f"Failed: {failures}")
    print(f"Success Rate: {(passed/total_tests)*100:.1f}%")

    if passed == total_tests:
        print("\n🎉 PRODUCTION ML INTEGRATION READY!")
        print("✅ Real system integration operational")
    else:
        print("\n⚠️ Some production features may need system dependencies")

    print("=" * 60)
    return passed == total_tests

if __name__ == '__main__':
    run_production_test()