# test_queen_systems.py import unittest import time import random import threading import queue # Mock implementations of AIVA's Queen-level systems (for testing purposes) class Memory: def __init__(self, capacity=1000): self.capacity = capacity self.memory = {} self.access_count = 0 self.correct_recall_count = 0 def store(self, key, value): if len(self.memory) < self.capacity: self.memory[key] = value else: # Basic eviction policy (FIFO) oldest_key = next(iter(self.memory)) del self.memory[oldest_key] self.memory[key] = value def recall(self, key): self.access_count += 1 if key in self.memory: self.correct_recall_count += 1 return self.memory[key] else: return None def get_recall_accuracy(self): if self.access_count == 0: return 1.0 # Avoid division by zero return self.correct_recall_count / self.access_count class ConsciousnessLoop: def __init__(self): self.state = "idle" self.iterations = 0 def start(self): self.state = "running" def stop(self): self.state = "stopped" def iterate(self): if self.state == "running": self.iterations += 1 return True return False def get_state(self): return self.state def get_iterations(self): return self.iterations class ValidationGate: def __init__(self): self.rules = [] def add_rule(self, rule): self.rules.append(rule) def validate(self, data): for rule in self.rules: if not rule(data): return False return True class SwarmCoordinator: def __init__(self, swarm_size=10): self.swarm_size = swarm_size self.swarm_state = {} for i in range(swarm_size): self.swarm_state[f"agent_{i}"] = "idle" def assign_task(self, task, agent_id): if agent_id in self.swarm_state: self.swarm_state[agent_id] = task return True return False def get_agent_state(self, agent_id): return self.swarm_state.get(agent_id, "unknown") class KnowledgeGraph: def __init__(self): self.graph = {} def add_node(self, node_id, data): self.graph[node_id] = data def get_node(self, node_id): return self.graph.get(node_id) def add_edge(self, node1, node2, relation): if node1 in self.graph and node2 in self.graph: if "edges" not in self.graph[node1]: self.graph[node1]["edges"] = {} self.graph[node1]["edges"][node2] = relation def get_edges(self, node_id): if node_id in self.graph and "edges" in self.graph[node_id]: return self.graph[node_id]["edges"] return {} class RevenueTracker: def __init__(self): self.revenue = 0.0 self.transactions = [] def record_transaction(self, amount, description): self.revenue += amount self.transactions.append({"amount": amount, "description": description}) def get_revenue(self): return self.revenue def get_transactions(self): return self.transactions class EvolutionEngine: def __init__(self): self.version = 1.0 def evolve(self): # Simulate evolution (e.g., increment version) self.version += 0.1 def get_version(self): return self.version class ConstitutionalCompliance: def __init__(self): self.constitution = [ "Do no harm.", "Uphold the law.", "Protect user privacy." ] self.violations = [] def check_compliance(self, action): # Simplified compliance check if "harm" in action.lower(): self.violations.append(action) return False return True def get_violations(self): return self.violations def get_constitution(self): return self.constitution class IntegrationHub: def __init__(self): self.connected_services = {} def connect_service(self, service_name, service_endpoint): self.connected_services[service_name] = service_endpoint def disconnect_service(self, service_name): if service_name in self.connected_services: del self.connected_services[service_name] def get_connected_services(self): return self.connected_services class QueenOrchestrator: def __init__(self, memory, consciousness_loop, validation_gate, swarm_coordinator, knowledge_graph, revenue_tracker, evolution_engine, constitutional_compliance, integration_hub): self.memory = memory self.consciousness_loop = consciousness_loop self.validation_gate = validation_gate self.swarm_coordinator = swarm_coordinator self.knowledge_graph = knowledge_graph self.revenue_tracker = revenue_tracker self.evolution_engine = evolution_engine self.constitutional_compliance = constitutional_compliance self.integration_hub = integration_hub def make_decision(self, input_data): # Simplified decision-making process if not self.validation_gate.validate(input_data): return "Decision: Invalid input" if not self.constitutional_compliance.check_compliance(input_data): return "Decision: Compliance violation" self.memory.store("last_decision_input", input_data) recalled_data = self.memory.recall("last_decision_input") if recalled_data == input_data: return "Decision: Processing " + input_data else: return "Decision: Error in processing." # Unit Tests class TestMemory(unittest.TestCase): def test_store_and_recall(self): memory = Memory(capacity=10) memory.store("key1", "value1") recalled_value = memory.recall("key1") self.assertEqual(recalled_value, "value1") def test_capacity_limit(self): memory = Memory(capacity=2) memory.store("key1", "value1") memory.store("key2", "value2") memory.store("key3", "value3") self.assertIsNone(memory.recall("key1")) #FIFO Eviction def test_recall_accuracy(self): memory = Memory(capacity=100) for i in range(100): memory.store(f"key{i}", f"value{i}") for i in range(100): memory.recall(f"key{i}") accuracy = memory.get_recall_accuracy() self.assertGreaterEqual(accuracy, 0.95) class TestConsciousnessLoop(unittest.TestCase): def test_loop_state(self): loop = ConsciousnessLoop() self.assertEqual(loop.get_state(), "idle") loop.start() self.assertEqual(loop.get_state(), "running") loop.stop() self.assertEqual(loop.get_state(), "stopped") def test_loop_iterations(self): loop = ConsciousnessLoop() loop.start() for _ in range(5): loop.iterate() self.assertEqual(loop.get_iterations(), 5) class TestValidationGate(unittest.TestCase): def test_validation_success(self): gate = ValidationGate() gate.add_rule(lambda x: isinstance(x, int)) self.assertTrue(gate.validate(10)) def test_validation_failure(self): gate = ValidationGate() gate.add_rule(lambda x: isinstance(x, int)) self.assertFalse(gate.validate("string")) class TestSwarmCoordinator(unittest.TestCase): def test_assign_task(self): coordinator = SwarmCoordinator(swarm_size=5) result = coordinator.assign_task("process_data", "agent_0") self.assertTrue(result) self.assertEqual(coordinator.get_agent_state("agent_0"), "process_data") def test_invalid_agent(self): coordinator = SwarmCoordinator(swarm_size=5) result = coordinator.assign_task("process_data", "agent_10") self.assertFalse(result) self.assertEqual(coordinator.get_agent_state("agent_10"), "unknown") class TestKnowledgeGraph(unittest.TestCase): def test_add_and_get_node(self): graph = KnowledgeGraph() graph.add_node("node1", {"name": "Example Node"}) node_data = graph.get_node("node1") self.assertEqual(node_data["name"], "Example Node") def test_add_and_get_edge(self): graph = KnowledgeGraph() graph.add_node("node1", {"name": "Node 1"}) graph.add_node("node2", {"name": "Node 2"}) graph.add_edge("node1", "node2", "related_to") edges = graph.get_edges("node1") self.assertEqual(edges["node2"], "related_to") class TestRevenueTracker(unittest.TestCase): def test_record_transaction(self): tracker = RevenueTracker() tracker.record_transaction(100, "product_sale") self.assertEqual(tracker.get_revenue(), 100) self.assertEqual(len(tracker.get_transactions()), 1) class TestEvolutionEngine(unittest.TestCase): def test_evolve(self): engine = EvolutionEngine() initial_version = engine.get_version() engine.evolve() self.assertGreater(engine.get_version(), initial_version) class TestConstitutionalCompliance(unittest.TestCase): def test_compliance_check(self): compliance = ConstitutionalCompliance() self.assertTrue(compliance.check_compliance("Process data")) self.assertFalse(compliance.check_compliance("Cause harm")) self.assertEqual(len(compliance.get_violations()), 1) class TestIntegrationHub(unittest.TestCase): def test_connect_and_disconnect(self): hub = IntegrationHub() hub.connect_service("database", "localhost:5432") self.assertIn("database", hub.get_connected_services()) hub.disconnect_service("database") self.assertNotIn("database", hub.get_connected_services()) # Integration Tests class TestQueenOrchestratorIntegration(unittest.TestCase): def setUp(self): self.memory = Memory() self.consciousness_loop = ConsciousnessLoop() self.validation_gate = ValidationGate() self.validation_gate.add_rule(lambda x: isinstance(x, str)) self.swarm_coordinator = SwarmCoordinator() self.knowledge_graph = KnowledgeGraph() self.revenue_tracker = RevenueTracker() self.evolution_engine = EvolutionEngine() self.constitutional_compliance = ConstitutionalCompliance() self.integration_hub = IntegrationHub() self.orchestrator = QueenOrchestrator( self.memory, self.consciousness_loop, self.validation_gate, self.swarm_coordinator, self.knowledge_graph, self.revenue_tracker, self.evolution_engine, self.constitutional_compliance, self.integration_hub ) def test_decision_making_process(self): decision = self.orchestrator.make_decision("Process data") self.assertIn("Processing", decision) def test_decision_validation_failure(self): decision = self.orchestrator.make_decision(123) self.assertIn("Invalid input", decision) def test_decision_compliance_failure(self): decision = self.orchestrator.make_decision("Cause harm") self.assertIn("Compliance violation", decision) # Performance Benchmarks class TestPerformance(unittest.TestCase): def test_memory_access_speed(self): memory = Memory(capacity=10000) for i in range(10000): memory.store(f"key{i}", f"value{i}") start_time = time.time() for i in range(10000): memory.recall(f"key{i}") end_time = time.time() elapsed_time = end_time - start_time print(f"\nMemory access speed: {elapsed_time:.4f} seconds for 10000 recalls") self.assertLess(elapsed_time, 0.5) # Adjust threshold as needed def test_swarm_coordination_speed(self): coordinator = SwarmCoordinator(swarm_size=100) start_time = time.time() for i in range(100): coordinator.assign_task("task", f"agent_{i}") end_time = time.time() elapsed_time = end_time - start_time print(f"Swarm coordination speed: {elapsed_time:.4f} seconds for 100 assignments") self.assertLess(elapsed_time, 0.5) # Stress Tests class TestStress(unittest.TestCase): def test_memory_stress(self): memory = Memory(capacity=1000) num_threads = 10 num_operations = 1000 threads = [] q = queue.Queue() def memory_access_task(thread_id): for i in range(num_operations): key = f"thread_{thread_id}_key_{i}" value = f"thread_{thread_id}_value_{i}" memory.store(key, value) recalled_value = memory.recall(key) q.put((key, value, recalled_value)) # Store result for verification for i in range(num_threads): thread = threading.Thread(target=memory_access_task, args=(i,)) threads.append(thread) thread.start() for thread in threads: thread.join() # Verify the results while not q.empty(): key, value, recalled_value = q.get() self.assertEqual(value, recalled_value, f"Data mismatch for key: {key}") print("\nMemory stress test completed without errors.") def test_consciousness_loop_stability(self): loop = ConsciousnessLoop() loop.start() num_iterations = 100000 for _ in range(num_iterations): loop.iterate() loop.stop() print(f"\nConsciousness loop ran {num_iterations} iterations without crashing.") self.assertEqual(loop.get_state(), "stopped") # Check if the loop stopped correctly # Failure Mode Tests class TestFailureModes(unittest.TestCase): def test_memory_full_failure(self): memory = Memory(capacity=1) memory.store("key1", "value1") memory.store("key2", "value2") # Evicts key1 self.assertIsNone(memory.recall("key1")) self.assertEqual(memory.recall("key2"), "value2") def test_validation_gate_bypass(self): gate = ValidationGate() # Intentionally create a faulty rule that always passes (e.g., returns True regardless of input) gate.add_rule(lambda x: True) self.assertTrue(gate.validate("malicious data")) def test_revenue_tracker_overflow(self): tracker = RevenueTracker() # Simulate a very large transaction that might cause an overflow large_amount = float('inf') # Simulate a very large amount tracker.record_transaction(large_amount, "Large transaction") self.assertEqual(tracker.get_revenue(), float('inf')) #Check if revenue is infinite # Add more failure mode tests for other modules if __name__ == '__main__': unittest.main()