# test_queen_systems.py

import unittest
import time
import random
import threading

# Mock AIVA Queen System Components (Replace with actual implementations)
class Memory:
    def __init__(self, capacity=1000):
        self.capacity = capacity
        self.data = {}

    def store(self, key, value):
        if len(self.data) < self.capacity:
            self.data[key] = value
            return True
        else:
            return False

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

    def clear(self):
        self.data = {}


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

    def start(self):
        self.state = "running"

    def stop(self):
        self.state = "idle"

    def get_state(self):
        return self.state

    def process(self, input_data):
        # Simulate processing
        time.sleep(0.01)  # Introduce a small delay
        return f"Processed: {input_data}"


class ValidationGate:
    def validate(self, data):
        # Mock validation logic
        return data.startswith("VALID")


class SwarmCoordinator:
    def coordinate(self, tasks):
        # Simulate swarm coordination
        results = []
        for task in tasks:
            results.append(f"Task {task} coordinated")
        return results


class KnowledgeGraph:
    def __init__(self):
        self.nodes = {}
        self.edges = []

    def add_node(self, node_id, data):
        self.nodes[node_id] = data

    def add_edge(self, node1, node2, relation):
        self.edges.append((node1, node2, relation))

    def query(self, node_id):
        return self.nodes.get(node_id)

    def get_neighbors(self, node_id):
        neighbors = []
        for edge in self.edges:
            if edge[0] == node_id:
                neighbors.append((edge[1], edge[2]))
            elif edge[1] == node_id:
                neighbors.append((edge[0], edge[2]))
        return neighbors


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

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

    def get_revenue(self):
        return self.revenue

    def reset(self):
        self.revenue = 0.0


class EvolutionEngine:
    def evolve(self, current_state):
        # Simulate evolution with constraints
        if current_state == "stable":
            return "slightly_improved"
        elif current_state == "slightly_improved":
            return "stable"
        else:
            return "stable"


class ConstitutionalComplianceChecker:
    def check_compliance(self, action):
        # Simulate compliance check
        if "harm" in action.lower():
            return False
        else:
            return True


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

    def disconnect(self, service_name):
        return f"Disconnected from {service_name}"


class QueenOrchestrator:
    def __init__(self, memory, consciousness_loop, validation_gate, swarm_coordinator, knowledge_graph, revenue_tracker, evolution_engine, constitutional_compliance_checker, 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_checker = constitutional_compliance_checker
        self.integration_hub = integration_hub

    def make_decision(self, input_data):
        # Simulate decision making process
        if self.validation_gate.validate(input_data):
            processed_data = self.consciousness_loop.process(input_data)
            if self.constitutional_compliance_checker.check_compliance(processed_data):
                self.memory.store("last_decision", processed_data)
                return processed_data
            else:
                return "Decision blocked due to constitutional violation"
        else:
            return "Invalid input data"


# Unit Tests
class TestMemory(unittest.TestCase):
    def setUp(self):
        self.memory = Memory(capacity=100)

    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"))

    def test_capacity(self):
        for i in range(100):
            self.assertTrue(self.memory.store(f"key_{i}", f"value_{i}"))
        self.assertFalse(self.memory.store("key_100", "value_100"))

    def test_clear(self):
        self.memory.store("test_key", "test_value")
        self.memory.clear()
        self.assertIsNone(self.memory.recall("test_key"))


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

    def test_start_stop_state(self):
        self.consciousness_loop.start()
        self.assertEqual(self.consciousness_loop.get_state(), "running")
        self.consciousness_loop.stop()
        self.assertEqual(self.consciousness_loop.get_state(), "idle")

    def test_process(self):
        result = self.consciousness_loop.process("test_input")
        self.assertEqual(result, "Processed: test_input")


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

    def test_validate(self):
        self.assertTrue(self.validation_gate.validate("VALID data"))
        self.assertFalse(self.validation_gate.validate("INVALID data"))


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

    def test_coordinate(self):
        tasks = ["task1", "task2", "task3"]
        results = self.swarm_coordinator.coordinate(tasks)
        self.assertEqual(len(results), 3)
        self.assertIn("Task task1 coordinated", results)
        self.assertIn("Task task2 coordinated", results)
        self.assertIn("Task task3 coordinated", results)


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

    def test_add_and_query_node(self):
        self.knowledge_graph.add_node("node1", {"name": "Test Node"})
        self.assertEqual(self.knowledge_graph.query("node1"), {"name": "Test Node"})

    def test_add_and_get_neighbors(self):
        self.knowledge_graph.add_node("node1", {})
        self.knowledge_graph.add_node("node2", {})
        self.knowledge_graph.add_edge("node1", "node2", "related_to")
        neighbors = self.knowledge_graph.get_neighbors("node1")
        self.assertEqual(len(neighbors), 1)
        self.assertEqual(neighbors[0], ("node2", "related_to"))


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

    def test_record_and_get_revenue(self):
        self.revenue_tracker.record_revenue(100.0)
        self.revenue_tracker.record_revenue(50.0)
        self.assertEqual(self.revenue_tracker.get_revenue(), 150.0)

    def test_reset(self):
        self.revenue_tracker.record_revenue(100.0)
        self.revenue_tracker.reset()
        self.assertEqual(self.revenue_tracker.get_revenue(), 0.0)


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

    def test_evolve(self):
        state = "stable"
        new_state = self.evolution_engine.evolve(state)
        self.assertIn(new_state, ["stable", "slightly_improved"])


class TestConstitutionalComplianceChecker(unittest.TestCase):
    def setUp(self):
        self.compliance_checker = ConstitutionalComplianceChecker()

    def test_check_compliance(self):
        self.assertTrue(self.compliance_checker.check_compliance("Analyze data"))
        self.assertFalse(self.compliance_checker.check_compliance("Cause harm"))


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

    def test_connect_disconnect(self):
        connection_result = self.integration_hub.connect("DatabaseService")
        self.assertEqual(connection_result, "Connected to DatabaseService")
        disconnection_result = self.integration_hub.disconnect("DatabaseService")
        self.assertEqual(disconnection_result, "Disconnected from DatabaseService")


# Integration Tests
class TestQueenOrchestratorIntegration(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()
        self.consciousness_loop = ConsciousnessLoop()
        self.validation_gate = ValidationGate()
        self.swarm_coordinator = SwarmCoordinator()
        self.knowledge_graph = KnowledgeGraph()
        self.revenue_tracker = RevenueTracker()
        self.evolution_engine = EvolutionEngine()
        self.constitutional_compliance_checker = ConstitutionalComplianceChecker()
        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_checker, self.integration_hub)

    def test_decision_making_process(self):
        input_data = "VALID Analyze data"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(decision, "Processed: VALID Analyze data")
        self.assertEqual(self.memory.recall("last_decision"), "Processed: VALID Analyze data")

    def test_decision_blocked_by_compliance(self):
        input_data = "VALID Cause harm"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(decision, "Decision blocked due to constitutional violation")

    def test_invalid_input_data(self):
        input_data = "INVALID data"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(decision, "Invalid input data")


# Performance Benchmarks
class TestQueenOrchestratorPerformance(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()
        self.consciousness_loop = ConsciousnessLoop()
        self.validation_gate = ValidationGate()
        self.swarm_coordinator = SwarmCoordinator()
        self.knowledge_graph = KnowledgeGraph()
        self.revenue_tracker = RevenueTracker()
        self.evolution_engine = EvolutionEngine()
        self.constitutional_compliance_checker = ConstitutionalComplianceChecker()
        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_checker, self.integration_hub)

    def test_decision_making_performance(self):
        start_time = time.time()
        for _ in range(1000):
            self.orchestrator.make_decision("VALID Analyze data")
        end_time = time.time()
        elapsed_time = end_time - start_time
        print(f"Decision making performance: {elapsed_time:.4f} seconds for 1000 iterations")
        self.assertLess(elapsed_time, 2) # Adjust the threshold as needed

# Stress Tests
class TestQueenOrchestratorStress(unittest.TestCase):
    def setUp(self):
        self.memory = Memory(capacity=10000) # Increased memory capacity
        self.consciousness_loop = ConsciousnessLoop()
        self.validation_gate = ValidationGate()
        self.swarm_coordinator = SwarmCoordinator()
        self.knowledge_graph = KnowledgeGraph()
        self.revenue_tracker = RevenueTracker()
        self.evolution_engine = EvolutionEngine()
        self.constitutional_compliance_checker = ConstitutionalComplianceChecker()
        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_checker, self.integration_hub)

    def test_concurrent_decision_making(self):
        num_threads = 10
        num_iterations = 100

        def decision_making_task():
            for _ in range(num_iterations):
                self.orchestrator.make_decision("VALID Analyze data")

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

        for thread in threads:
            thread.join()

        print(f"Concurrent decision making stress test with {num_threads} threads and {num_iterations} iterations per thread completed.")
        self.assertLess(len(self.memory.data), 10000) # Check that memory hasn't overflowed


# Failure Mode Tests
class TestQueenOrchestratorFailureModes(unittest.TestCase):
    def setUp(self):
        self.memory = Memory()
        self.consciousness_loop = ConsciousnessLoop()
        self.validation_gate = ValidationGate()
        self.swarm_coordinator = SwarmCoordinator()
        self.knowledge_graph = KnowledgeGraph()
        self.revenue_tracker = RevenueTracker()
        self.evolution_engine = EvolutionEngine()
        self.constitutional_compliance_checker = ConstitutionalComplianceChecker()
        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_checker, self.integration_hub)

    def test_memory_failure(self):
        # Simulate memory failure by mocking the memory's store method
        def failing_store(key, value):
            return False  # Simulate memory full or error

        self.orchestrator.memory.store = failing_store
        input_data = "VALID Analyze data"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(self.memory.recall("last_decision"), None) # Verify nothing was stored.
        print("Memory failure test completed.")

    def test_validation_gate_always_fails(self):
        def failing_validate(data):
            return False

        self.orchestrator.validation_gate.validate = failing_validate
        input_data = "VALID Analyze data"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(decision, "Invalid input data")
        print("Validation gate failure test completed.")

    def test_constitutional_compliance_always_fails(self):
        def failing_compliance(action):
            return False

        self.orchestrator.constitutional_compliance_checker.check_compliance = failing_compliance
        input_data = "VALID Analyze data"
        decision = self.orchestrator.make_decision(input_data)
        self.assertEqual(decision, "Decision blocked due to constitutional violation")
        print("Constitutional compliance failure test completed.")


# Memory Recall Accuracy Test
class TestMemoryRecallAccuracy(unittest.TestCase):
    def setUp(self):
        self.memory = Memory(capacity=1000)

    def test_memory_recall_accuracy(self):
        num_items = 950  # Target 95% accuracy, so storing close to capacity
        data = {}
        for i in range(num_items):
            key = f"key_{i}"
            value = f"value_{i}"
            self.memory.store(key, value)
            data[key] = value

        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) * 100
        print(f"Memory Recall Accuracy: {accuracy:.2f}%")
        self.assertGreaterEqual(accuracy, 95) # Target: 95%+


if __name__ == '__main__':
    unittest.main()