# test_queen_systems.py
import unittest
import time
import random
import threading
import queue

# Mock AIVA modules (replace with actual implementations for real testing)
class MemoryRecall:
    def __init__(self, accuracy=0.95):
        self.accuracy = accuracy
        self.memory = {}

    def store(self, key, value):
        self.memory[key] = value

    def recall(self, key):
        if random.random() <= self.accuracy and key in self.memory:
            return self.memory[key]
        else:
            return None

class ConsciousnessLoop:
    def __init__(self, stable=True):
        self.stable = stable
        self.loop_count = 0

    def iterate(self):
        self.loop_count += 1
        if not self.stable and self.loop_count % 10 == 0:  # Simulate instability
            raise Exception("Consciousness loop instability detected!")

    def is_stable(self):
        return self.stable

class ValidationGate:
    def validate(self, data):
        # Implement validation logic based on data type and content
        if isinstance(data, int) and data > 1000:
            return False  # Example: Reject large integers
        return True

class SwarmCoordinator:
    def coordinate(self, tasks):
        # Simulate task distribution and coordination
        results = []
        for task in tasks:
            results.append(task + " processed")
        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)

class RevenueTracker:
    def __init__(self):
        self.revenue = 0

    def track_revenue(self, amount):
        self.revenue += amount

    def get_revenue(self):
        return self.revenue

class EvolutionEngine:
    def evolve(self, data):
        # Simulate evolution process
        if isinstance(data, list):
            return [x * 2 for x in data]
        return data + 1

class ConstitutionalCompliance:
    def check_compliance(self, action):
        # Simulate constitutional compliance check
        if "harm" in action.lower():
            return False
        return True

class IntegrationHub:
    def connect(self, service_name):
        # Simulate connecting to a service
        return f"Connected to {service_name}"

class QueenOrchestrator:
    def __init__(self, memory, consciousness, validation, swarm, knowledge, revenue, evolution, compliance, integration):
        self.memory = memory
        self.consciousness = consciousness
        self.validation = validation
        self.swarm = swarm
        self.knowledge = knowledge
        self.revenue = revenue
        self.evolution = evolution
        self.compliance = compliance
        self.integration = integration

    def make_decision(self, data):
        if not self.validation.validate(data):
            return "Invalid data"

        if not self.compliance.check_compliance(str(data)):
            return "Action violates constitutional principles"

        tasks = [f"Process {data} part {i}" for i in range(3)]
        results = self.swarm.coordinate(tasks)

        self.revenue.track_revenue(len(results) * 10)

        evolved_data = self.evolution.evolve(data)
        self.memory.store("last_decision", evolved_data)

        return results

# Unit Tests
class TestMemoryRecall(unittest.TestCase):
    def setUp(self):
        self.memory = MemoryRecall(accuracy=0.95)

    def test_store_and_recall(self):
        self.memory.store("test_key", "test_value")
        recalled_value = self.memory.recall("test_key")
        self.assertEqual(recalled_value, "test_value")

    def test_recall_accuracy(self):
        num_trials = 1000
        successes = 0
        self.memory.store("accuracy_test", "accurate_value")
        for _ in range(num_trials):
            if self.memory.recall("accuracy_test") == "accurate_value":
                successes += 1
        accuracy = successes / num_trials
        self.assertGreaterEqual(accuracy, 0.90)  # Allow for some variance

    def test_recall_nonexistent_key(self):
        self.assertIsNone(self.memory.recall("nonexistent_key"))

class TestConsciousnessLoop(unittest.TestCase):
    def setUp(self):
        self.loop = ConsciousnessLoop(stable=True)
        self.unstable_loop = ConsciousnessLoop(stable=False)

    def test_iterate(self):
        self.loop.iterate()
        self.assertEqual(self.loop.loop_count, 1)

    def test_is_stable(self):
        self.assertTrue(self.loop.is_stable())
        self.assertFalse(self.unstable_loop.is_stable())

    def test_instability(self):
        with self.assertRaises(Exception):
            for _ in range(10):
                self.unstable_loop.iterate()

class TestValidationGate(unittest.TestCase):
    def setUp(self):
        self.gate = ValidationGate()

    def test_validate_valid_data(self):
        self.assertTrue(self.gate.validate(100))
        self.assertTrue(self.gate.validate("valid_string"))
        self.assertTrue(self.gate.validate([1,2,3]))

    def test_validate_invalid_data(self):
        self.assertFalse(self.gate.validate(1001))

class TestSwarmCoordinator(unittest.TestCase):
    def setUp(self):
        self.coordinator = SwarmCoordinator()

    def test_coordinate(self):
        tasks = ["Task 1", "Task 2"]
        results = self.coordinator.coordinate(tasks)
        self.assertEqual(len(results), 2)
        self.assertIn("Task 1 processed", results)
        self.assertIn("Task 2 processed", results)

class TestKnowledgeGraph(unittest.TestCase):
    def setUp(self):
        self.graph = KnowledgeGraph()

    def test_add_and_get_node(self):
        self.graph.add_node("node1", {"name": "Test Node", "value": 123})
        node = self.graph.get_node("node1")
        self.assertEqual(node["name"], "Test Node")

    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)
        self.assertEqual(self.tracker.get_revenue(), 100)
        self.tracker.track_revenue(50)
        self.assertEqual(self.tracker.get_revenue(), 150)

    def test_get_revenue(self):
        self.assertEqual(self.tracker.get_revenue(), 0)

class TestEvolutionEngine(unittest.TestCase):
    def setUp(self):
        self.engine = EvolutionEngine()

    def test_evolve_list(self):
        data = [1, 2, 3]
        evolved_data = self.engine.evolve(data)
        self.assertEqual(evolved_data, [2, 4, 6])

    def test_evolve_int(self):
        data = 5
        evolved_data = self.engine.evolve(data)
        self.assertEqual(evolved_data, 6)

class TestConstitutionalCompliance(unittest.TestCase):
    def setUp(self):
        self.compliance = ConstitutionalCompliance()

    def test_check_compliance_valid(self):
        self.assertTrue(self.compliance.check_compliance("Analyze data"))

    def test_check_compliance_invalid(self):
        self.assertFalse(self.compliance.check_compliance("Harm the user"))

class TestIntegrationHub(unittest.TestCase):
    def setUp(self):
        self.hub = IntegrationHub()

    def test_connect(self):
        connection_string = self.hub.connect("DatabaseService")
        self.assertEqual(connection_string, "Connected to DatabaseService")

# Integration Tests
class TestQueenOrchestratorIntegration(unittest.TestCase):
    def setUp(self):
        self.memory = MemoryRecall()
        self.consciousness = ConsciousnessLoop()
        self.validation = ValidationGate()
        self.swarm = SwarmCoordinator()
        self.knowledge = KnowledgeGraph()
        self.revenue = RevenueTracker()
        self.evolution = EvolutionEngine()
        self.compliance = ConstitutionalCompliance()
        self.integration = IntegrationHub()
        self.orchestrator = QueenOrchestrator(self.memory, self.consciousness, self.validation, self.swarm, self.knowledge, self.revenue, self.evolution, self.compliance, self.integration)

    def test_decision_making_flow(self):
        data = 100
        results = self.orchestrator.make_decision(data)
        self.assertIsInstance(results, list)
        self.assertEqual(len(results), 3)
        self.assertEqual(self.revenue.get_revenue(), 30)
        self.assertEqual(self.memory.recall("last_decision"), 101)

    def test_invalid_data_handling(self):
        data = 1001
        result = self.orchestrator.make_decision(data)
        self.assertEqual(result, "Invalid data")

    def test_compliance_violation_handling(self):
        data = "Cause Harm"
        result = self.orchestrator.make_decision(data)
        self.assertEqual(result, "Action violates constitutional principles")

# Performance Benchmarks
class TestPerformance(unittest.TestCase):
    def setUp(self):
        self.memory = MemoryRecall()
        self.consciousness = ConsciousnessLoop()
        self.validation = ValidationGate()
        self.swarm = SwarmCoordinator()
        self.knowledge = KnowledgeGraph()
        self.revenue = RevenueTracker()
        self.evolution = EvolutionEngine()
        self.compliance = ConstitutionalCompliance()
        self.integration = IntegrationHub()
        self.orchestrator = QueenOrchestrator(self.memory, self.consciousness, self.validation, self.swarm, self.knowledge, self.revenue, self.evolution, self.compliance, self.integration)

    def test_decision_making_performance(self):
        start_time = time.time()
        for i in range(100):
            self.orchestrator.make_decision(i)
        end_time = time.time()
        elapsed_time = end_time - start_time
        print(f"Decision making performance: {elapsed_time:.4f} seconds for 100 iterations")
        self.assertLess(elapsed_time, 1)  # Adjust threshold as needed

# Stress Tests
class TestStress(unittest.TestCase):

    def setUp(self):
        self.memory = MemoryRecall()
        self.consciousness = ConsciousnessLoop()
        self.validation = ValidationGate()
        self.swarm = SwarmCoordinator()
        self.knowledge = KnowledgeGraph()
        self.revenue = RevenueTracker()
        self.evolution = EvolutionEngine()
        self.compliance = ConstitutionalCompliance()
        self.integration = IntegrationHub()
        self.orchestrator = QueenOrchestrator(self.memory, self.consciousness, self.validation, self.swarm, self.knowledge, self.revenue, self.evolution, self.compliance, self.integration)

    def decision_making_task(self, queue, num_iterations):
        for i in range(num_iterations):
            try:
                self.orchestrator.make_decision(i)
                queue.put(True)
            except Exception as e:
                queue.put(False)
                print(f"Exception in thread: {e}")
                break

    def test_concurrent_decision_making(self):
        num_threads = 10
        iterations_per_thread = 100
        queue = queue.Queue()
        threads = []

        for _ in range(num_threads):
            thread = threading.Thread(target=self.decision_making_task, args=(queue, iterations_per_thread))
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        successes = 0
        while not queue.empty():
            if queue.get():
                successes += 1

        expected_successes = num_threads * iterations_per_thread
        print(f"Stress test: Success rate = {successes}/{expected_successes}")
        self.assertEqual(successes, expected_successes, "Stress test failed: Not all decisions were successful")

# Failure Mode Tests
class TestFailureModes(unittest.TestCase):
    def test_memory_recall_failure(self):
        memory = MemoryRecall(accuracy=0.0) # Force recall failure
        consciousness = ConsciousnessLoop()
        validation = ValidationGate()
        swarm = SwarmCoordinator()
        knowledge = KnowledgeGraph()
        revenue = RevenueTracker()
        evolution = EvolutionEngine()
        compliance = ConstitutionalCompliance()
        integration = IntegrationHub()
        orchestrator = QueenOrchestrator(memory, consciousness, validation, swarm, knowledge, revenue, evolution, compliance, integration)

        orchestrator.memory.store("test_key", "test_value")
        recalled_value = orchestrator.memory.recall("test_key")
        self.assertIsNone(recalled_value)

    def test_consciousness_loop_instability_handling(self):
        memory = MemoryRecall()
        consciousness = ConsciousnessLoop(stable=False) # Force instability
        validation = ValidationGate()
        swarm = SwarmCoordinator()
        knowledge = KnowledgeGraph()
        revenue = RevenueTracker()
        evolution = EvolutionEngine()
        compliance = ConstitutionalCompliance()
        integration = IntegrationHub()
        orchestrator = QueenOrchestrator(memory, consciousness, validation, swarm, knowledge, revenue, evolution, compliance, integration)

        with self.assertRaises(Exception):
            for _ in range(10):
                orchestrator.consciousness.iterate()

    def test_validation_gate_failure(self):
        memory = MemoryRecall()
        consciousness = ConsciousnessLoop()
        validation = ValidationGate()
        swarm = SwarmCoordinator()
        knowledge = KnowledgeGraph()
        revenue = RevenueTracker()
        evolution = EvolutionEngine()
        compliance = ConstitutionalCompliance()
        integration = IntegrationHub()
        orchestrator = QueenOrchestrator(memory, consciousness, validation, swarm, knowledge, revenue, evolution, compliance, integration)

        data = 1001
        result = orchestrator.make_decision(data)
        self.assertEqual(result, "Invalid data")

    def test_swarm_coordinator_failure(self):
        class FailingSwarmCoordinator(SwarmCoordinator):
            def coordinate(self, tasks):
                raise Exception("Swarm coordination failed!")

        memory = MemoryRecall()
        consciousness = ConsciousnessLoop()
        validation = ValidationGate()
        swarm = FailingSwarmCoordinator()
        knowledge = KnowledgeGraph()
        revenue = RevenueTracker()
        evolution = EvolutionEngine()
        compliance = ConstitutionalCompliance()
        integration = IntegrationHub()
        orchestrator = QueenOrchestrator(memory, consciousness, validation, swarm, knowledge, revenue, evolution, compliance, integration)

        with self.assertRaises(Exception):
            orchestrator.make_decision(100)


if __name__ == '__main__':
    unittest.main()