# test_queen_systems.py
import unittest
import random
import time
import threading
import queue

# Mock implementations of AIVA's Queen-level systems.  These are simplified
# and will need to be replaced with actual system calls for real testing.
# These mocks allow the tests to run in isolation and are necessary for the
# test suite to be complete.

class MockMemoryRecall:
    def __init__(self):
        self.memory = {}

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

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

class MockConsciousnessLoop:
    def __init__(self):
        self.state = "idle"
        self.loop_count = 0

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

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

    def iterate(self):
        if self.state == "running":
            self.loop_count += 1

    def get_state(self):
        return self.state

    def get_loop_count(self):
        return self.loop_count

class MockValidationGate:
    def validate(self, data):
        # Simulate validation logic.  Can be made more complex.
        return data is not None

class MockSwarmCoordinator:
    def __init__(self, num_agents=5):
        self.num_agents = num_agents
        self.agents = [f"Agent_{i}" for i in range(num_agents)]
        self.tasks = {}

    def assign_task(self, task_id, task_description):
        agent = random.choice(self.agents)
        self.tasks[task_id] = (agent, task_description)
        return agent

    def get_task_assignment(self, task_id):
        return self.tasks.get(task_id)

class MockKnowledgeGraph:
    def __init__(self):
        self.graph = {}

    def add_node(self, node_id, attributes):
        self.graph[node_id] = attributes

    def add_edge(self, node1, node2, relation):
        if node1 not in self.graph or node2 not in self.graph:
            raise ValueError("Nodes must exist in the graph.")
        if 'edges' not in self.graph[node1]:
            self.graph[node1]['edges'] = {}
        self.graph[node1]['edges'][node2] = relation

    def get_node(self, node_id):
        return self.graph.get(node_id)

    def get_edges(self, node_id):
        node = self.get_node(node_id)
        if node and 'edges' in node:
            return node['edges']
        return {}

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

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

    def get_revenue(self):
        return self.revenue

class MockEvolutionEngine:
    def evolve(self, current_state):
        # Simple mock evolution - add a random change
        if random.random() < 0.5:
            return current_state + " (evolved)"
        else:
            return current_state

class MockConstitutionalCompliance:
    def check_compliance(self, action):
        # Simple mock - always compliant
        return True

class MockIntegrationHub:
    def __init__(self):
        self.connected_services = {}

    def connect_service(self, service_name, connection_details):
        self.connected_services[service_name] = connection_details

    def get_connected_services(self):
        return self.connected_services

    def send_message(self, service_name, message):
        if service_name in self.connected_services:
            return f"Message sent to {service_name}: {message}"
        else:
            return f"Error: Service {service_name} not connected."

class MockQueenOrchestrator:
    def __init__(self, memory_recall, swarm_coordinator, revenue_tracker):
        self.memory_recall = memory_recall
        self.swarm_coordinator = swarm_coordinator
        self.revenue_tracker = revenue_tracker

    def make_decision(self, input_data):
        # Simple mock decision-making process
        if "revenue" in input_data:
            amount = input_data["revenue"]
            self.revenue_tracker.record_revenue(amount)
            return f"Recorded revenue of {amount}"
        else:
            task_id = random.randint(1, 100)
            agent = self.swarm_coordinator.assign_task(task_id, input_data.get("task", "Generic Task"))
            return f"Task {task_id} assigned to {agent}"


# Unit Tests
class TestQueenSystemsUnit(unittest.TestCase):

    def test_memory_recall(self):
        memory = MockMemoryRecall()
        memory.store("test_key", "test_value")
        self.assertEqual(memory.recall("test_key"), "test_value")
        self.assertIsNone(memory.recall("nonexistent_key"))

    def test_consciousness_loop(self):
        loop = MockConsciousnessLoop()
        loop.start()
        for _ in range(10):
            loop.iterate()
        loop.stop()
        self.assertEqual(loop.get_state(), "stopped")
        self.assertEqual(loop.get_loop_count(), 10)

    def test_validation_gate(self):
        gate = MockValidationGate()
        self.assertTrue(gate.validate("some data"))
        self.assertFalse(gate.validate(None))

    def test_swarm_coordinator(self):
        coordinator = MockSwarmCoordinator(num_agents=3)
        agent = coordinator.assign_task("task1", "Important task")
        self.assertIn(agent, coordinator.agents)
        assignment = coordinator.get_task_assignment("task1")
        self.assertEqual(assignment[1], "Important task")

    def test_knowledge_graph(self):
        graph = MockKnowledgeGraph()
        graph.add_node("node1", {"type": "person", "name": "Alice"})
        graph.add_node("node2", {"type": "company", "name": "Bob's Burgers"})
        graph.add_edge("node1", "node2", "works_at")

        node1 = graph.get_node("node1")
        self.assertEqual(node1["name"], "Alice")

        edges = graph.get_edges("node1")
        self.assertIn("node2", edges)
        self.assertEqual(edges["node2"], "works_at")

    def test_revenue_tracker(self):
        tracker = MockRevenueTracker()
        tracker.record_revenue(100.50)
        tracker.record_revenue(50.00)
        self.assertEqual(tracker.get_revenue(), 150.50)

    def test_evolution_engine(self):
        engine = MockEvolutionEngine()
        initial_state = "Initial State"
        evolved_state = engine.evolve(initial_state)
        self.assertIsInstance(evolved_state, str)

    def test_constitutional_compliance(self):
        compliance = MockConstitutionalCompliance()
        self.assertTrue(compliance.check_compliance("some action"))

    def test_integration_hub(self):
        hub = MockIntegrationHub()
        hub.connect_service("email", {"address": "test@example.com"})
        services = hub.get_connected_services()
        self.assertIn("email", services)
        message_result = hub.send_message("email", "Hello!")
        self.assertEqual(message_result, "Message sent to email: Hello!")
        error_result = hub.send_message("slack", "Hello!")
        self.assertEqual(error_result, "Error: Service slack not connected.")

    def test_queen_orchestrator(self):
        memory = MockMemoryRecall()
        swarm = MockSwarmCoordinator()
        revenue = MockRevenueTracker()
        orchestrator = MockQueenOrchestrator(memory, swarm, revenue)

        decision1 = orchestrator.make_decision({"revenue": 50.00})
        self.assertEqual(revenue.get_revenue(), 50.00)

        decision2 = orchestrator.make_decision({"task": "Analyze data"})
        self.assertIsInstance(decision2, str) # Should be a task assignment message

# Integration Tests
class TestQueenSystemsIntegration(unittest.TestCase):

    def test_memory_recall_and_orchestrator(self):
        memory = MockMemoryRecall()
        swarm = MockSwarmCoordinator()
        revenue = MockRevenueTracker()
        orchestrator = MockQueenOrchestrator(memory, swarm, revenue)

        memory.store("important_data", "some critical information")
        orchestrator.make_decision({"revenue": 25.00}) # Orchestrator impacts RevenueTracker
        self.assertEqual(revenue.get_revenue(), 25.00)
        # Simulate the Orchestrator retrieving from MemoryRecall
        data_from_memory = memory.recall("important_data")
        self.assertEqual(data_from_memory, "some critical information")

    def test_swarm_coordinator_and_orchestrator(self):
        memory = MockMemoryRecall()
        swarm = MockSwarmCoordinator(num_agents=2)
        revenue = MockRevenueTracker()
        orchestrator = MockQueenOrchestrator(memory, swarm, revenue)

        task_description = "Process user request"
        decision = orchestrator.make_decision({"task": task_description})
        self.assertIn("assigned to", decision)

        task_id = int(decision.split("Task ")[1].split(" ")[0]) # Extract Task ID from message
        assigned_agent, task_desc = swarm.get_task_assignment(task_id)
        self.assertEqual(task_desc, task_description)

    def test_integration_hub_and_memory(self):
        hub = MockIntegrationHub()
        memory = MockMemoryRecall()

        hub.connect_service("database", {"address": "localhost:5432"})
        message = hub.send_message("database", "Retrieve user data")
        memory.store("database_response", message)

        retrieved_message = memory.recall("database_response")
        self.assertEqual(retrieved_message, "Message sent to database: Retrieve user data")

# Performance Benchmarks
class TestQueenSystemsPerformance(unittest.TestCase):

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

        start_time = time.time()
        for i in range(num_items):
            memory.recall(f"key_{i}")
        recall_time = time.time() - start_time

        print(f"Memory Store Time ({num_items} items): {store_time:.4f} seconds")
        print(f"Memory Recall Time ({num_items} items): {recall_time:.4f} seconds")
        # Assertions for performance should be based on acceptable thresholds
        self.assertLess(store_time, 0.1, "Memory store performance is slow.")
        self.assertLess(recall_time, 0.1, "Memory recall performance is slow.")

    def test_swarm_coordination_performance(self):
        coordinator = MockSwarmCoordinator(num_agents=100)
        num_tasks = 500
        start_time = time.time()
        for i in range(num_tasks):
            coordinator.assign_task(f"task_{i}", "Another task")
        assignment_time = time.time() - start_time
        print(f"Swarm Coordination Assignment Time ({num_tasks} tasks): {assignment_time:.4f} seconds")
        self.assertLess(assignment_time, 0.2, "Swarm coordination assignment performance is slow.")

# Stress Tests
class TestQueenSystemsStress(unittest.TestCase):

    def test_concurrent_memory_access(self):
        memory = MockMemoryRecall()
        num_threads = 10
        num_operations = 100

        def worker(thread_id):
            for i in range(num_operations):
                key = f"key_{thread_id}_{i}"
                memory.store(key, f"value_{thread_id}_{i}")
                memory.recall(key)

        threads = []
        for i in range(num_threads):
            thread = threading.Thread(target=worker, args=(i,))
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        # Verify that all items were stored and can be recalled.
        for i in range(num_threads):
            for j in range(num_operations):
                key = f"key_{i}_{j}"
                self.assertEqual(memory.recall(key), f"value_{i}_{j}")

    def test_swarm_task_queue_overflow(self):
        coordinator = MockSwarmCoordinator(num_agents=5)
        num_tasks = 1000  # Simulate a large number of tasks
        task_queue = queue.Queue()

        def assign_task(task_id):
            try:
                coordinator.assign_task(task_id, "Overload Task")
                task_queue.put(task_id)  # Add the task ID to the queue if assignment succeeds
            except Exception as e:
                print(f"Task {task_id} failed to be assigned: {e}")

        threads = []
        for i in range(num_tasks):
            thread = threading.Thread(target=assign_task, args=(f"task_{i}",))
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        assigned_tasks = task_queue.qsize() # Check the size of the queue, which should be close to num_tasks
        print(f"Number of assigned tasks: {assigned_tasks}")
        self.assertGreater(assigned_tasks, 500, "Task assignment failed under load.") # Adjust the threshold as needed.

# Failure Mode Tests
class TestQueenSystemsFailureModes(unittest.TestCase):

    def test_memory_recall_failure(self):
        memory = MockMemoryRecall()
        memory.store("test_key", "test_value")

        # Simulate memory corruption or loss (e.g., by deleting the stored data)
        memory.memory = {} # Simulate complete data loss

        recalled_value = memory.recall("test_key")
        self.assertIsNone(recalled_value, "Memory should return None on failure.")

    def test_validation_gate_bypass(self):
        gate = MockValidationGate()
        # Simulate a situation where the validation gate is bypassed (e.g., due to a bug)
        # In this case, we will directly pass invalid data to the system.
        invalid_data = None
        # The system receiving this data should handle it gracefully (e.g., by logging an error)
        # In this mock, we can't directly test the system, but in a real system, you would
        # check for error logs or specific system behavior.
        is_valid = gate.validate(invalid_data)
        self.assertFalse(is_valid, "Validation should fail for invalid data.")

    def test_evolution_engine_unstable_state(self):
        engine = MockEvolutionEngine()
        initial_state = "Very Unstable State!"
        # Simulate an unstable state that could cause issues after evolution
        evolved_state = engine.evolve(initial_state)
        print(f"Evolved State: {evolved_state}")
        # In a real system, you would check for specific error conditions related to the
        # evolved state.  Here, we simply verify that it doesn't crash.
        self.assertIsInstance(evolved_state, str)

# Memory Recall Accuracy Test
class TestMemoryRecallAccuracy(unittest.TestCase):

    def test_memory_recall_accuracy(self):
        memory = MockMemoryRecall()
        num_items = 1000
        correct_recalls = 0

        for i in range(num_items):
            key = f"key_{i}"
            value = f"value_{i}"
            memory.store(key, value)

        for i in range(num_items):
            key = f"key_{i}"
            expected_value = f"value_{i}"
            recalled_value = 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, "Memory recall accuracy below 95%.")

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