# test_queen_systems.py import unittest import time import random import threading import queue # Mock AIVA Queen-level systems (replace with actual implementations) class MemoryRecall: def __init__(self, accuracy=0.95): self.memory = {} self.accuracy = accuracy def store(self, key, value): self.memory[key] = value def recall(self, key): if key in self.memory and random.random() <= self.accuracy: return self.memory[key] else: return None # Or raise an exception, depending on desired behavior class ConsciousnessLoop: def __init__(self): self.state = "idle" def start(self): self.state = "running" def stop(self): self.state = "stopped" def get_state(self): return self.state class ValidationGate: def validate(self, data): # Mock validation logic (replace with actual rules) if isinstance(data, dict) and "valid" in data and data["valid"]: return True else: return False class SwarmCoordinator: def coordinate(self, tasks): # Mock coordination logic (replace with actual swarm algorithm) results = {} for task in tasks: results[task] = f"Result for {task}" return results class KnowledgeGraph: def __init__(self): self.graph = {} def add_node(self, node_id, attributes): self.graph[node_id] = attributes def get_node(self, node_id): return self.graph.get(node_id) def add_edge(self, node1, node2, relation): if node1 not in self.graph: self.graph[node1] = {} if node2 not in self.graph: self.graph[node2] = {} if 'edges' not in self.graph[node1]: self.graph[node1]['edges'] = {} self.graph[node1]['edges'][node2] = relation class RevenueTracker: def __init__(self): self.revenue = 0 def record_revenue(self, amount): self.revenue += amount def get_revenue(self): return self.revenue class EvolutionEngine: def evolve(self, current_state): # Mock evolution logic (replace with actual algorithm) if current_state == "stable": return "evolving" else: return "stable" class ConstitutionalCompliance: def check_compliance(self, action): # Mock compliance check (replace with actual rules) if "harmful" in action: return False else: return True class IntegrationHub: def connect(self, service): # Mock connection logic return f"Connected to {service}" class QueenOrchestrator: def __init__(self, memory, coordinator, revenue_tracker, compliance): self.memory = memory self.coordinator = coordinator self.revenue_tracker = revenue_tracker self.compliance = compliance def make_decision(self, data): if self.compliance.check_compliance(data): tasks = ["task1", "task2"] results = self.coordinator.coordinate(tasks) self.revenue_tracker.record_revenue(100) return results else: return "Decision rejected due to non-compliance" # --- Unit Tests --- class TestMemoryRecall(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.memory.store("test_key", "test_value") def test_recall_success(self): recalled_value = self.memory.recall("test_key") if recalled_value: self.assertEqual(recalled_value, "test_value") else: self.skipTest("Recall failed due to simulated inaccuracy") def test_recall_failure(self): self.memory.accuracy = 0.0 # Force failure self.assertIsNone(self.memory.recall("test_key")) class TestConsciousnessLoop(unittest.TestCase): def setUp(self): self.loop = ConsciousnessLoop() def test_start_stop(self): self.loop.start() self.assertEqual(self.loop.get_state(), "running") self.loop.stop() self.assertEqual(self.loop.get_state(), "stopped") class TestValidationGate(unittest.TestCase): def setUp(self): self.gate = ValidationGate() def test_validation_success(self): data = {"valid": True} self.assertTrue(self.gate.validate(data)) def test_validation_failure(self): data = {"valid": False} self.assertFalse(self.gate.validate(data)) class TestSwarmCoordinator(unittest.TestCase): def setUp(self): self.coordinator = SwarmCoordinator() def test_coordinate(self): tasks = ["task1", "task2"] results = self.coordinator.coordinate(tasks) self.assertIn("task1", results) self.assertIn("task2", results) class TestKnowledgeGraph(unittest.TestCase): def setUp(self): self.graph = KnowledgeGraph() def test_add_get_node(self): self.graph.add_node("node1", {"name": "Test Node"}) node = self.graph.get_node("node1") self.assertEqual(node["name"], "Test Node") def test_add_edge(self): self.graph.add_node("node1", {"name": "Node 1"}) self.graph.add_node("node2", {"name": "Node 2"}) self.graph.add_edge("node1", "node2", "related_to") node1 = self.graph.get_node("node1") self.assertIn("edges", node1) self.assertIn("node2", node1["edges"]) self.assertEqual(node1["edges"]["node2"], "related_to") class TestRevenueTracker(unittest.TestCase): def setUp(self): self.tracker = RevenueTracker() def test_record_revenue(self): self.tracker.record_revenue(100) self.assertEqual(self.tracker.get_revenue(), 100) class TestEvolutionEngine(unittest.TestCase): def setUp(self): self.engine = EvolutionEngine() def test_evolve(self): new_state = self.engine.evolve("stable") self.assertEqual(new_state, "evolving") class TestConstitutionalCompliance(unittest.TestCase): def setUp(self): self.compliance = ConstitutionalCompliance() def test_compliance_success(self): action = "analyze data" self.assertTrue(self.compliance.check_compliance(action)) def test_compliance_failure(self): action = "harmful action" self.assertFalse(self.compliance.check_compliance(action)) class TestIntegrationHub(unittest.TestCase): def setUp(self): self.hub = IntegrationHub() def test_connect(self): result = self.hub.connect("database") self.assertEqual(result, "Connected to database") class TestQueenOrchestrator(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.coordinator = SwarmCoordinator() self.revenue_tracker = RevenueTracker() self.compliance = ConstitutionalCompliance() self.orchestrator = QueenOrchestrator(self.memory, self.coordinator, self.revenue_tracker, self.compliance) def test_make_decision(self): data = "analyze data" results = self.orchestrator.make_decision(data) self.assertIsInstance(results, dict) self.assertEqual(self.revenue_tracker.get_revenue(), 100) def test_make_decision_non_compliant(self): data = "harmful action" result = self.orchestrator.make_decision(data) self.assertEqual(result, "Decision rejected due to non-compliance") self.assertEqual(self.revenue_tracker.get_revenue(), 0) # --- Integration Tests --- class TestSystemIntegration(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.loop = ConsciousnessLoop() self.gate = ValidationGate() self.coordinator = SwarmCoordinator() self.graph = KnowledgeGraph() self.tracker = RevenueTracker() self.engine = EvolutionEngine() self.compliance = ConstitutionalCompliance() self.hub = IntegrationHub() self.orchestrator = QueenOrchestrator(self.memory, self.coordinator, self.tracker, self.compliance) def test_memory_recall_integration(self): self.memory.store("important_data", "integration_value") recalled_data = self.memory.recall("important_data") if recalled_data: self.assertEqual(recalled_data, "integration_value") else: self.skipTest("Recall failed due to simulated inaccuracy") def test_loop_validation_integration(self): self.loop.start() self.assertEqual(self.loop.get_state(), "running") data = {"valid": True} self.assertTrue(self.gate.validate(data)) self.loop.stop() self.assertEqual(self.loop.get_state(), "stopped") def test_coordinator_revenue_integration(self): tasks = ["task1", "task2"] results = self.coordinator.coordinate(tasks) self.assertIsInstance(results, dict) self.tracker.record_revenue(200) self.assertEqual(self.tracker.get_revenue(), 200) def test_orchestrator_integration(self): data = "analyze data" result = self.orchestrator.make_decision(data) self.assertIsInstance(result, dict) self.assertEqual(self.tracker.get_revenue(), 100) def test_hub_graph_integration(self): connection_result = self.hub.connect("external_service") self.graph.add_node("external_service", {"connection_status": connection_result}) node = self.graph.get_node("external_service") self.assertEqual(node["connection_status"], "Connected to external_service") # --- Performance Benchmarks --- class TestPerformance(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.coordinator = SwarmCoordinator() self.orchestrator = QueenOrchestrator(self.memory, self.coordinator, RevenueTracker(), ConstitutionalCompliance()) self.num_iterations = 1000 def test_memory_recall_performance(self): start_time = time.time() for i in range(self.num_iterations): self.memory.store(f"key_{i}", f"value_{i}") self.memory.recall(f"key_{i}") end_time = time.time() elapsed_time = end_time - start_time print(f"Memory Recall Performance: {elapsed_time / self.num_iterations:.6f} seconds per operation") self.assertLess(elapsed_time / self.num_iterations, 0.001) # Example threshold def test_swarm_coordination_performance(self): tasks = [f"task_{i}" for i in range(100)] # Simulate a large number of tasks start_time = time.time() self.coordinator.coordinate(tasks) end_time = time.time() elapsed_time = end_time - start_time print(f"Swarm Coordination Performance: {elapsed_time:.4f} seconds for {len(tasks)} tasks") self.assertLess(elapsed_time, 1.0) # Example threshold def test_orchestrator_decision_performance(self): start_time = time.time() for _ in range(self.num_iterations): self.orchestrator.make_decision("analyze data") end_time = time.time() elapsed_time = end_time - start_time print(f"Orchestrator Decision Performance: {elapsed_time / self.num_iterations:.6f} seconds per decision") self.assertLess(elapsed_time / self.num_iterations, 0.002) # Example threshold # --- Stress Tests --- class TestStress(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.coordinator = SwarmCoordinator() self.orchestrator = QueenOrchestrator(self.memory, self.coordinator, RevenueTracker(), ConstitutionalCompliance()) self.num_threads = 10 self.num_iterations_per_thread = 100 def memory_stress_test_thread(self, thread_id): for i in range(self.num_iterations_per_thread): key = f"thread_{thread_id}_key_{i}" value = f"thread_{thread_id}_value_{i}" self.memory.store(key, value) recalled_value = self.memory.recall(key) if recalled_value: self.assertEqual(recalled_value, value) # Check recall accuracy else: print(f"Memory stress test thread {thread_id}: Recall failed for key {key}") def coordinator_stress_test_thread(self, thread_id, task_queue, results_queue): while True: try: task = task_queue.get(timeout=1) # Get task with a timeout result = self.coordinator.coordinate([task]) results_queue.put(result) task_queue.task_done() except queue.Empty: break # No more tasks def test_memory_stress(self): threads = [] for i in range(self.num_threads): thread = threading.Thread(target=self.memory_stress_test_thread, args=(i,)) threads.append(thread) thread.start() for thread in threads: thread.join() print("Memory Stress Test Completed.") def test_swarm_coordinator_stress(self): task_queue = queue.Queue() results_queue = queue.Queue() # Populate the task queue with a large number of tasks num_tasks = self.num_threads * self.num_iterations_per_thread for i in range(num_tasks): task_queue.put(f"stress_task_{i}") threads = [] for i in range(self.num_threads): thread = threading.Thread(target=self.coordinator_stress_test_thread, args=(i, task_queue, results_queue)) threads.append(thread) thread.daemon = True # Daemonize threads to allow main thread to exit thread.start() task_queue.join() # Wait for all tasks to be processed # Optionally, process and validate the results in the results_queue print("Swarm Coordinator Stress Test Completed.") # --- Failure Mode Tests --- class TestFailureModes(unittest.TestCase): def setUp(self): self.memory = MemoryRecall() self.loop = ConsciousnessLoop() self.gate = ValidationGate() self.coordinator = SwarmCoordinator() self.graph = KnowledgeGraph() self.tracker = RevenueTracker() self.engine = EvolutionEngine() self.compliance = ConstitutionalCompliance() self.hub = IntegrationHub() self.orchestrator = QueenOrchestrator(self.memory, self.coordinator, self.tracker, self.compliance) def test_memory_failure(self): # Simulate memory corruption self.memory.memory = None with self.assertRaises(AttributeError): # or TypeError, depending on the error self.memory.recall("key") def test_coordinator_failure(self): # Simulate coordinator crash self.coordinator.coordinate = None # type: ignore with self.assertRaises(TypeError): self.orchestrator.make_decision("analyze data") def test_validation_gate_failure(self): # Simulate validation gate malfunction self.gate.validate = None # type: ignore with self.assertRaises(TypeError): self.gate.validate({"valid": True}) def test_compliance_failure(self): # Simulate a complete constitutional compliance breakdown self.compliance.check_compliance = None # type: ignore with self.assertRaises(TypeError): self.compliance.check_compliance("harmful action") if __name__ == '__main__': unittest.main()