# test_queen_systems.py
import unittest
import time
import random

# Mock AIVA Queen System Modules (Replace with actual implementations)
class Memory:
    def __init__(self):
        self.memory = {}

    def store(self, key, value):
        self.memory[key] = value

    def recall(self, key):
        return self.memory.get(key)

class ConsciousnessLoop:
    def __init__(self):
        self.state = "idle"

    def run_loop(self):
        self.state = "processing"
        time.sleep(0.1) # Simulate processing
        self.state = "idle"

    def get_state(self):
        return self.state

class ValidationGate:
    def validate(self, data):
        # Mock validation logic
        if data and isinstance(data, dict) and "valid" in data:
            return data["valid"]
        else:
            return False

class SwarmCoordinator:
    def coordinate(self, tasks):
        # Mock coordination logic
        time.sleep(0.05 * len(tasks))  # Simulate coordination delay
        return f"Coordinated {len(tasks)} tasks"

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)

class RevenueTracker:
    def __init__(self):
        self.revenue = 0.0

    def track_revenue(self, amount):
        self.revenue += amount

    def get_revenue(self):
        return self.revenue

class EvolutionEngine:
    def evolve(self, parameters):
        # Mock evolution logic (very basic)
        if parameters and isinstance(parameters, dict) and "mutation_rate" in parameters:
            parameters["mutation_rate"] += 0.01
        return parameters

class ConstitutionalCompliance:
    def check_compliance(self, action):
        # Mock constitutional checks.  Always compliant for now (replace with real checks)
        return True

class IntegrationHub:
    def connect(self, service):
        # Mock connection
        return f"Connected to {service}"

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 orchestrate(self, task, data):
        # Simplified orchestration logic
        if self.constitutional_compliance.check_compliance(task):
            validated_data = self.validation_gate.validate(data)
            if validated_data:
                result = self.swarm_coordinator.coordinate([task])
                self.revenue_tracker.track_revenue(10.0) # Add some revenue
                return result
            else:
                return "Data validation failed."
        else:
            return "Constitutional compliance check failed."


# Unit Tests
class TestMemory(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()

    def test_store_and_recall(self):
        self.memory.store("test_key", "test_value")
        self.assertEqual(self.memory.recall("test_key"), "test_value")

    def test_recall_nonexistent_key(self):
        self.assertIsNone(self.memory.recall("nonexistent_key"))

class TestConsciousnessLoop(unittest.TestCase):
    def setUp(self):
        self.loop = ConsciousnessLoop()

    def test_run_loop(self):
        self.assertEqual(self.loop.get_state(), "idle")
        self.loop.run_loop()
        self.assertEqual(self.loop.get_state(), "idle")  # Should return to idle

class TestValidationGate(unittest.TestCase):
    def setUp(self):
        self.gate = ValidationGate()

    def test_valid_data(self):
        self.assertTrue(self.gate.validate({"valid": True}))

    def test_invalid_data(self):
        self.assertFalse(self.gate.validate({"valid": False}))

    def test_invalid_data_format(self):
        self.assertFalse(self.gate.validate("invalid data"))

class TestSwarmCoordinator(unittest.TestCase):
    def setUp(self):
        self.coordinator = SwarmCoordinator()

    def test_coordinate_tasks(self):
        tasks = ["task1", "task2", "task3"]
        result = self.coordinator.coordinate(tasks)
        self.assertEqual(result, "Coordinated 3 tasks")

class TestKnowledgeGraph(unittest.TestCase):
    def setUp(self):
        self.graph = KnowledgeGraph()

    def test_add_and_get_node(self):
        self.graph.add_node("node1", {"data": "node data"})
        self.assertEqual(self.graph.get_node("node1"), {"data": "node data"})

    def test_get_nonexistent_node(self):
        self.assertIsNone(self.graph.get_node("nonexistent_node"))

class TestRevenueTracker(unittest.TestCase):
    def setUp(self):
        self.tracker = RevenueTracker()

    def test_track_revenue(self):
        self.tracker.track_revenue(100.0)
        self.assertEqual(self.tracker.get_revenue(), 100.0)

    def test_multiple_track_revenue(self):
        self.tracker.track_revenue(50.0)
        self.tracker.track_revenue(25.0)
        self.assertEqual(self.tracker.get_revenue(), 75.0)

class TestEvolutionEngine(unittest.TestCase):
    def setUp(self):
        self.engine = EvolutionEngine()

    def test_evolve(self):
        parameters = {"mutation_rate": 0.1}
        evolved_parameters = self.engine.evolve(parameters)
        self.assertAlmostEqual(evolved_parameters["mutation_rate"], 0.11)

    def test_evolve_no_mutation_rate(self):
        parameters = {"other_param": 0.2}
        evolved_parameters = self.engine.evolve(parameters)
        self.assertEqual(evolved_parameters, parameters)

class TestConstitutionalCompliance(unittest.TestCase):
    def setUp(self):
        self.compliance = ConstitutionalCompliance()

    def test_check_compliance(self):
        self.assertTrue(self.compliance.check_compliance("any_action"))

class TestIntegrationHub(unittest.TestCase):
    def setUp(self):
        self.hub = IntegrationHub()

    def test_connect(self):
        result = self.hub.connect("ExternalService")
        self.assertEqual(result, "Connected to ExternalService")

# Integration Tests
class TestQueenOrchestratorIntegration(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()
        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.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)

    def test_orchestrate_valid_task(self):
        task = "analyze_data"
        data = {"valid": True}
        result = self.orchestrator.orchestrate(task, data)
        self.assertEqual(result, "Coordinated 1 tasks")
        self.assertEqual(self.orchestrator.revenue_tracker.get_revenue(), 10.0)

    def test_orchestrate_invalid_data(self):
        task = "analyze_data"
        data = {"valid": False}
        result = self.orchestrator.orchestrate(task, data)
        self.assertEqual(result, "Data validation failed.")
        self.assertEqual(self.orchestrator.revenue_tracker.get_revenue(), 0.0) # Revenue should not be added

    def test_orchestrate_constitutional_violation(self):
        # Override the check_compliance method for this specific test
        def always_false(action):
            return False

        self.orchestrator.constitutional_compliance.check_compliance = always_false.__get__(self.orchestrator.constitutional_compliance, ConstitutionalCompliance)
        task = "analyze_data"
        data = {"valid": True}
        result = self.orchestrator.orchestrate(task, data)
        self.assertEqual(result, "Constitutional compliance check failed.")
        self.assertEqual(self.orchestrator.revenue_tracker.get_revenue(), 0.0)

# Performance Benchmarks
class TestPerformance(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()
        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.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)


    def test_memory_recall_performance(self):
        num_items = 1000
        for i in range(num_items):
            self.memory.store(f"key_{i}", f"value_{i}")

        start_time = time.time()
        for i in range(num_items):
            self.memory.recall(f"key_{i}")
        end_time = time.time()
        elapsed_time = end_time - start_time
        print(f"Memory recall performance for {num_items} items: {elapsed_time:.4f} seconds")
        self.assertLess(elapsed_time, 0.1, "Memory recall performance is too slow.") # Adjust threshold as needed

    def test_swarm_coordination_performance(self):
        num_tasks = 100
        tasks = [f"task_{i}" for i in range(num_tasks)]

        start_time = time.time()
        self.coordinator.coordinate(tasks)
        end_time = time.time()
        elapsed_time = end_time - start_time

        print(f"Swarm coordination performance for {num_tasks} tasks: {elapsed_time:.4f} seconds")
        self.assertLess(elapsed_time, 0.5, "Swarm coordination performance is too slow.") # Adjust threshold as needed

# Stress Tests
class TestStress(unittest.TestCase):
     def setUp(self):
        self.memory = Memory()
        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.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)

     def test_memory_stress(self):
        num_items = 10000
        for i in range(num_items):
            self.memory.store(f"stress_key_{i}", f"stress_value_{i}")

        recalled_count = 0
        for i in range(num_items):
            if self.memory.recall(f"stress_key_{i}") == f"stress_value_{i}":
                recalled_count += 1

        recall_accuracy = recalled_count / num_items
        print(f"Memory recall accuracy under stress: {recall_accuracy:.4f}")
        self.assertGreaterEqual(recall_accuracy, 0.95, "Memory recall accuracy below 95% under stress.")

     def test_orchestrator_concurrent_requests(self):
        import threading

        num_threads = 10
        num_requests_per_thread = 100

        def orchestrate_request():
            for _ in range(num_requests_per_thread):
                task = "process_data"
                data = {"valid": True}
                self.orchestrator.orchestrate(task, data)

        threads = []
        for _ in range(num_threads):
            thread = threading.Thread(target=orchestrate_request)
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        print(f"Total revenue after concurrent requests: {self.orchestrator.revenue_tracker.get_revenue()}")
        # Basic sanity check.  Adjust threshold based on expected performance
        self.assertGreaterEqual(self.orchestrator.revenue_tracker.get_revenue(), 5000, "Revenue tracking inconsistent under concurrent requests.") # Expect ~10000, but allow some variance

# Failure Mode Tests
class TestFailureModes(unittest.TestCase):
     def setUp(self):
        self.memory = Memory()
        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.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)

     def test_memory_failure(self):
        # Simulate memory failure by making recall always return None
        self.memory.recall = lambda key: None
        self.memory.store("key1", "value1")
        self.assertIsNone(self.memory.recall("key1"))

     def test_validation_gate_failure(self):
        # Simulate validation gate failure by making it always return False
        self.gate.validate = lambda data: False
        task = "process_data"
        data = {"valid": True}
        result = self.orchestrator.orchestrate(task, data)
        self.assertEqual(result, "Data validation failed.")

     def test_swarm_coordinator_failure(self):
        # Simulate swarm coordinator failure by raising an exception
        self.coordinator.coordinate = lambda tasks: raise Exception("Swarm coordinator failed")
        task = "process_data"
        data = {"valid": True}
        with self.assertRaises(Exception) as context:
            self.orchestrator.orchestrate(task, data)
        self.assertEqual(str(context.exception), "Swarm coordinator failed")

# Memory Recall Accuracy Test
class TestMemoryRecallAccuracy(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()

    def test_memory_recall_accuracy(self):
        num_items = 1000
        data = {}

        # Store data
        for i in range(num_items):
            key = f"key_{i}"
            value = f"value_{i}"
            data[key] = value
            self.memory.store(key, value)

        # Recall and compare
        correct_recalls = 0
        for key, expected_value in data.items():
            recalled_value = self.memory.recall(key)
            if recalled_value == expected_value:
                correct_recalls += 1

        accuracy = correct_recalls / num_items
        print(f"Memory Recall Accuracy: {accuracy * 100:.2f}%")
        self.assertGreaterEqual(accuracy, 0.95, "Memory recall accuracy is below the target of 95%.")

# Knowledge Graph Integrity Test
class TestKnowledgeGraphIntegrity(unittest.TestCase):
    def setUp(self):
        self.graph = KnowledgeGraph()

    def test_knowledge_graph_integrity(self):
        num_nodes = 1000
        data = {}

        # Add nodes
        for i in range(num_nodes):
            node_id = f"node_{i}"
            node_data = {"attribute_1": i, "attribute_2": f"data_{i}"}
            data[node_id] = node_data
            self.graph.add_node(node_id, node_data)

        # Check integrity
        for node_id, expected_data in data.items():
            retrieved_data = self.graph.get_node(node_id)
            self.assertEqual(retrieved_data, expected_data, f"Integrity check failed for node {node_id}.")

# Main execution
if __name__ == '__main__':
    unittest.main()