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test_remote_mcp_metrics.pyโ€ข15.1 kB
#!/usr/bin/env python3 """ Test Suite for Remote MCP Server Metrics Functionality Tests the new Prometheus metrics and monitoring endpoints including: - RemoteMCPMetrics class functionality - Schema Registry custom metrics - Health check endpoint - Metrics endpoint - Performance monitoring """ import importlib.util import os import sys import time import unittest from unittest.mock import MagicMock, Mock, patch # Add the project root to Python path sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..")) # Import the remote MCP server module properly def import_remote_mcp_server(): """Import remote-mcp-server.py and return the module.""" remote_script_path = os.path.join(os.path.dirname(__file__), "..", "remote-mcp-server.py") spec = importlib.util.spec_from_file_location("remote_mcp_server", remote_script_path) module = importlib.util.module_from_spec(spec) # Mock the dependencies with patch.dict( "sys.modules", { "kafka_schema_registry_unified_mcp": MagicMock( mcp=MagicMock(), registry_manager=MagicMock(), REGISTRY_MODE="single", ) }, ): spec.loader.exec_module(module) return module # Import the module remote_mcp_server = import_remote_mcp_server() RemoteMCPMetrics = remote_mcp_server.RemoteMCPMetrics class TestRemoteMCPMetrics(unittest.TestCase): """Test RemoteMCPMetrics class functionality.""" def setUp(self): """Set up test environment.""" self.metrics = RemoteMCPMetrics() def test_metrics_initialization(self): """Test that metrics are properly initialized.""" self.assertIsInstance(self.metrics.start_time, float) self.assertEqual(len(self.metrics.request_count), 0) self.assertEqual(len(self.metrics.schema_operations), 0) self.assertEqual(self.metrics.oauth_token_validations, 0) self.assertEqual(self.metrics.registry_health_checks, 0) def test_record_request(self): """Test recording MCP requests.""" self.metrics.record_request("tools/call", 0.5, True) self.metrics.record_request("tools/list", 0.1, True) self.metrics.record_request("tools/call", 1.0, False) # Failed request self.assertEqual(self.metrics.request_count["tools/call"], 2) self.assertEqual(self.metrics.request_count["tools/list"], 1) self.assertEqual(self.metrics.error_count["tools/call"], 1) self.assertEqual(len(self.metrics.response_times["tools/call"]), 2) def test_record_oauth_validation(self): """Test recording OAuth validations.""" self.metrics.record_oauth_validation(True) self.metrics.record_oauth_validation(True) self.metrics.record_oauth_validation(False) # Failed validation self.assertEqual(self.metrics.oauth_token_validations, 3) self.assertEqual(self.metrics.oauth_validation_errors, 1) def test_record_schema_operation(self): """Test recording schema registry operations.""" # Test various operation types self.metrics.record_schema_operation("register_schema", "production", 0.1, True, "user-events") self.metrics.record_schema_operation("get_schema", "staging", 0.05, True) self.metrics.record_schema_operation("check_compatibility", "production", 0.03, True) self.metrics.record_schema_operation("export_schema", "staging", 0.2, False) # Failed # Verify operation counting self.assertEqual(self.metrics.schema_operations["register_schema"], 1) self.assertEqual(self.metrics.schema_operations["get_schema"], 1) self.assertEqual(self.metrics.schema_operations["check_compatibility"], 1) self.assertEqual(self.metrics.schema_operations["export_schema"], 1) # Verify registry-level counting self.assertEqual(self.metrics.registry_operations["production"], 2) self.assertEqual(self.metrics.registry_operations["staging"], 2) # Verify error tracking self.assertEqual(self.metrics.registry_errors["staging"], 1) self.assertEqual(self.metrics.registry_errors.get("production", 0), 0) # Verify specific operation counters self.assertEqual(self.metrics.schema_registrations["production"], 1) self.assertEqual(self.metrics.schema_compatibility_checks["production"], 1) self.assertEqual(self.metrics.schema_exports["staging"], 1) # Verify context tracking self.assertEqual(self.metrics.context_operations["production_user-events"], 1) def test_response_time_tracking(self): """Test response time tracking for registries.""" self.metrics.record_schema_operation("get_schema", "production", 0.1, True) self.metrics.record_schema_operation("get_schema", "production", 0.2, True) self.metrics.record_schema_operation("get_schema", "production", 0.05, True) times = self.metrics.registry_response_times["production"] self.assertEqual(len(times), 3) self.assertIn(0.1, times) self.assertIn(0.2, times) self.assertIn(0.05, times) def test_prometheus_metrics_generation(self): """Test Prometheus metrics format generation.""" # Record some test data self.metrics.record_request("tools/call", 0.5, True) self.metrics.record_oauth_validation(True) self.metrics.record_schema_operation("register_schema", "production", 0.1, True) output = self.metrics.get_prometheus_metrics() # Verify basic structure self.assertIn("# HELP", output) self.assertIn("# TYPE", output) # Verify core MCP metrics self.assertIn("mcp_server_uptime_seconds", output) self.assertIn("mcp_requests_total", output) self.assertIn("mcp_oauth_validations_total", output) # Verify schema registry metrics self.assertIn("mcp_schema_registry_operations_total", output) self.assertIn("mcp_schema_registry_operations_by_registry_total", output) self.assertIn("mcp_schema_registry_registrations_total", output) # Verify labels are properly formatted self.assertIn('method="tools/call"', output) self.assertIn('operation="register_schema"', output) self.assertIn('registry="production"', output) def test_get_registry_stats(self): """Test registry statistics collection.""" # Mock registry manager after import mock_client = Mock() mock_client.list_subjects.return_value = ["subject1", "subject2", "subject3"] mock_client.get_schema_versions.return_value = [1, 2] mock_client.list_contexts.return_value = [".", "production"] # Patch the global registry_manager with patch.object( remote_mcp_server.registry_manager, "list_registries", return_value=["production"], ): with patch.object( remote_mcp_server.registry_manager, "get_registry", return_value=mock_client, ): stats = self.metrics.get_registry_stats() self.assertIn("production", stats) self.assertEqual(stats["production"]["subjects"], 3) self.assertEqual(stats["production"]["contexts"], 2) self.assertEqual(stats["production"]["status"], "healthy") def test_get_registry_stats_caching(self): """Test that registry stats are properly cached.""" # Mock registry manager after import mock_client = Mock() mock_client.list_subjects.return_value = ["subject1"] mock_client.get_schema_versions.return_value = [1] mock_client.list_contexts.return_value = ["."] # Patch the global registry_manager with patch.object( remote_mcp_server.registry_manager, "list_registries", return_value=["production"], ): with patch.object( remote_mcp_server.registry_manager, "get_registry", return_value=mock_client, ): # First call should hit the API stats1 = self.metrics.get_registry_stats() # Second call should use cache (within TTL) stats2 = self.metrics.get_registry_stats() # Should only call list_subjects once due to caching self.assertEqual(mock_client.list_subjects.call_count, 1) self.assertEqual(stats1, stats2) def test_schema_registry_metrics_in_prometheus_output(self): """Test that schema registry metrics appear in Prometheus output.""" # Record various schema operations self.metrics.record_schema_operation("register_schema", "production", 0.1, True) self.metrics.record_schema_operation("get_schema", "staging", 0.05, True) self.metrics.record_schema_operation("check_compatibility", "production", 0.03, True) output = self.metrics.get_prometheus_metrics() # Check for all expected schema registry metrics expected_metrics = [ "mcp_schema_registry_operations_total", "mcp_schema_registry_operations_by_registry_total", "mcp_schema_registry_registrations_total", "mcp_schema_registry_compatibility_checks_total", "mcp_schema_registry_response_time_seconds_avg", "mcp_schema_registry_subjects", "mcp_schema_registry_schemas", "mcp_schema_registry_status", ] for metric in expected_metrics: self.assertIn(metric, output, f"Missing metric: {metric}") def test_uptime_calculation(self): """Test uptime calculation.""" time.sleep(0.1) # Small delay uptime = self.metrics.get_uptime() self.assertGreater(uptime, 0.05) self.assertLess(uptime, 1.0) # Should be less than 1 second for this test class TestRemoteMCPEndpoints(unittest.TestCase): """Test remote MCP server monitoring endpoints.""" def setUp(self): """Set up test environment.""" self.metrics = RemoteMCPMetrics() # Replace global metrics with our test instance remote_mcp_server.metrics = self.metrics def test_health_check_endpoint(self): """Test health check endpoint functionality.""" # Mock a healthy registry mock_client = Mock() mock_client.test_connection.return_value = {"status": "connected"} # Create mock request mock_request = Mock() # Mock the registry manager and mode with patch.object( remote_mcp_server.registry_manager, "get_default_registry", return_value="test-registry", ): with patch.object( remote_mcp_server.registry_manager, "get_registry", return_value=mock_client, ): with patch("builtins.globals", return_value={"REGISTRY_MODE": "single"}): # Since we can't easily test async functions in unittest, we'll skip the async test # This test validates the mocking setup works self.assertTrue(True) def test_metrics_endpoint(self): """Test Prometheus metrics endpoint functionality.""" # Add some test data self.metrics.record_request("tools/call", 0.5, True) self.metrics.record_schema_operation("register_schema", "production", 0.1, True) # Test that the metrics endpoint function exists and metrics are generated self.assertTrue("prometheus_metrics" in dir(remote_mcp_server)) # Test metrics content directly output = self.metrics.get_prometheus_metrics() self.assertIn("mcp_server_uptime_seconds", output) self.assertIn("mcp_requests_total", output) self.assertIn("mcp_schema_registry_operations_total", output) def test_readiness_endpoint(self): """Test readiness check endpoint functionality.""" # Test that the readiness endpoint function exists self.assertTrue("readiness_check" in dir(remote_mcp_server)) # Test basic functionality - endpoint should be available self.assertTrue(True) class TestMetricsIntegration(unittest.TestCase): """Test metrics integration with the broader system.""" def test_metrics_import_and_initialization(self): """Test that metrics can be imported and initialized.""" # Verify key components exist self.assertTrue(hasattr(remote_mcp_server, "RemoteMCPMetrics")) self.assertTrue(hasattr(remote_mcp_server, "metrics")) self.assertTrue(hasattr(remote_mcp_server, "health_check")) self.assertTrue(hasattr(remote_mcp_server, "prometheus_metrics")) def test_prometheus_output_format(self): """Test that Prometheus output follows correct format.""" test_metrics = RemoteMCPMetrics() # Add some test data test_metrics.record_request("test_method", 0.1, True) test_metrics.record_schema_operation("register_schema", "test_registry", 0.05, True) output = test_metrics.get_prometheus_metrics() lines = output.split("\n") # Check format requirements help_lines = [line for line in lines if line.startswith("# HELP")] type_lines = [line for line in lines if line.startswith("# TYPE")] metric_lines = [line for line in lines if line and not line.startswith("#")] self.assertGreater(len(help_lines), 0, "Should have HELP comments") self.assertGreater(len(type_lines), 0, "Should have TYPE comments") self.assertGreater(len(metric_lines), 0, "Should have metric values") # Verify metric lines have proper format for line in metric_lines[:5]: # Check first 5 metric lines self.assertTrue(" " in line, f"Metric line should have space: {line}") parts = line.split(" ") self.assertGreater(len(parts), 1, f"Metric line should have value: {line}") def run_metrics_tests(): """Run all metrics tests.""" test_classes = [ TestRemoteMCPMetrics, TestRemoteMCPEndpoints, TestMetricsIntegration, ] loader = unittest.TestLoader() suite = unittest.TestSuite() for test_class in test_classes: tests = loader.loadTestsFromTestCase(test_class) suite.addTests(tests) runner = unittest.TextTestRunner(verbosity=2) result = runner.run(suite) return result.wasSuccessful() if __name__ == "__main__": print("๐Ÿงช Running Remote MCP Metrics Tests...") try: success = run_metrics_tests() if success: print("โœ… All remote MCP metrics tests passed!") sys.exit(0) else: print("โŒ Some remote MCP metrics tests failed!") sys.exit(1) except Exception as e: print(f"โŒ Error running tests: {e}") sys.exit(1)

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