# test_queen_systems.py
import unittest
import time
import random
import json
import os

# Mock AIVA's Queen-level systems (replace with actual imports in a real environment)
class MockMemoryRecall:
    def __init__(self, knowledge_base=None):
        self.knowledge_base = knowledge_base or {}

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

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

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

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

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

    def get_state(self):
        return self.state

class MockValidationGate:
    def validate(self, data, schema):
        # Simplified validation logic - replace with actual schema validation
        if not isinstance(data, dict):
            return False
        for key, value_type in schema.items():
            if key not in data or not isinstance(data[key], value_type):
                return False
        return True

class MockSwarmCoordinator:
    def __init__(self):
        self.swarm_state = "inactive"
        self.tasks_assigned = 0

    def activate_swarm(self, num_agents):
        self.swarm_state = "active"
        self.tasks_assigned = num_agents

    def deactivate_swarm(self):
        self.swarm_state = "inactive"
        self.tasks_assigned = 0

    def get_swarm_state(self):
        return self.swarm_state

    def get_tasks_assigned(self):
        return self.tasks_assigned

class MockKnowledgeGraph:
    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)

    def add_edge(self, node1_id, node2_id, relation):
        if node1_id in self.graph and node2_id in self.graph:
            if 'edges' not in self.graph[node1_id]:
                 self.graph[node1_id]['edges'] = {}
            self.graph[node1_id]['edges'][node2_id] = 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 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 __init__(self):
        self.evolution_state = "idle"
        self.num_iterations = 0

    def start_evolution(self, iterations):
        self.evolution_state = "running"
        self.num_iterations = iterations

    def stop_evolution(self):
        self.evolution_state = "stopped"

    def get_evolution_state(self):
        return self.evolution_state

class MockConstitutionalCompliance:
    def check_compliance(self, action):
        # Simplified compliance check - replace with actual rules
        if "illegal" in action:
            return False
        return True

class MockIntegrationHub:
    def __init__(self):
        self.connected_services = []

    def connect_service(self, service_name):
        self.connected_services.append(service_name)

    def disconnect_service(self, service_name):
        if service_name in self.connected_services:
            self.connected_services.remove(service_name)

    def get_connected_services(self):
        return self.connected_services

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 execute_task(self, task_description):
        if "revenue generation" in task_description:
            self.swarm_coordinator.activate_swarm(10)
            self.revenue_tracker.record_revenue(100.0)
            self.memory_recall.store("last_task", task_description)
            self.swarm_coordinator.deactivate_swarm()
        else:
            self.memory_recall.store("last_task", task_description)

# --- Unit Tests ---
class TestMemoryRecall(unittest.TestCase):
    def setUp(self):
        self.memory_recall = MockMemoryRecall()

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

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

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

        correct_recalls = 0
        for i in range(num_items):
            if self.memory_recall.recall(f"key_{i}") == f"value_{i}":
                correct_recalls += 1
        accuracy = correct_recalls / num_items
        self.assertGreaterEqual(accuracy, 0.95, "Memory recall accuracy below 95%")


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

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

class TestValidationGate(unittest.TestCase):
    def setUp(self):
        self.validation_gate = MockValidationGate()
        self.schema = {"name": str, "age": int}

    def test_valid_data(self):
        data = {"name": "Alice", "age": 30}
        self.assertTrue(self.validation_gate.validate(data, self.schema))

    def test_invalid_data_wrong_type(self):
        data = {"name": "Alice", "age": "30"}
        self.assertFalse(self.validation_gate.validate(data, self.schema))

    def test_invalid_data_missing_key(self):
        data = {"name": "Alice"}
        self.assertFalse(self.validation_gate.validate(data, self.schema))

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

    def test_activate_and_deactivate_swarm(self):
        self.assertEqual(self.swarm_coordinator.get_swarm_state(), "inactive")
        self.swarm_coordinator.activate_swarm(10)
        self.assertEqual(self.swarm_coordinator.get_swarm_state(), "active")
        self.assertEqual(self.swarm_coordinator.get_tasks_assigned(), 10)
        self.swarm_coordinator.deactivate_swarm()
        self.assertEqual(self.swarm_coordinator.get_swarm_state(), "inactive")
        self.assertEqual(self.swarm_coordinator.get_tasks_assigned(), 0)

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

    def test_add_and_get_node(self):
        self.knowledge_graph.add_node("node1", {"type": "person", "name": "Bob"})
        node = self.knowledge_graph.get_node("node1")
        self.assertEqual(node["name"], "Bob")

    def test_add_and_get_edge(self):
        self.knowledge_graph.add_node("node1", {"type": "person", "name": "Bob"})
        self.knowledge_graph.add_node("node2", {"type": "company", "name": "Acme"})
        self.knowledge_graph.add_edge("node1", "node2", "works_for")
        edges = self.knowledge_graph.get_edges("node1")
        self.assertEqual(edges["node2"], "works_for")

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

    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)

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

    def test_start_and_stop_evolution(self):
        self.assertEqual(self.evolution_engine.get_evolution_state(), "idle")
        self.evolution_engine.start_evolution(100)
        self.assertEqual(self.evolution_engine.get_evolution_state(), "running")
        self.evolution_engine.stop_evolution()
        self.assertEqual(self.evolution_engine.get_evolution_state(), "stopped")

class TestConstitutionalCompliance(unittest.TestCase):
    def setUp(self):
        self.constitutional_compliance = MockConstitutionalCompliance()

    def test_compliant_action(self):
        self.assertTrue(self.constitutional_compliance.check_compliance("analyze data"))

    def test_non_compliant_action(self):
        self.assertFalse(self.constitutional_compliance.check_compliance("initiate illegal activity"))

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

    def test_connect_and_disconnect_service(self):
        self.integration_hub.connect_service("ServiceA")
        self.assertEqual(self.integration_hub.get_connected_services(), ["ServiceA"])
        self.integration_hub.connect_service("ServiceB")
        self.assertEqual(self.integration_hub.get_connected_services(), ["ServiceA", "ServiceB"])
        self.integration_hub.disconnect_service("ServiceA")
        self.assertEqual(self.integration_hub.get_connected_services(), ["ServiceB"])

class TestQueenOrchestrator(unittest.TestCase):
    def setUp(self):
        self.memory_recall = MockMemoryRecall()
        self.swarm_coordinator = MockSwarmCoordinator()
        self.revenue_tracker = MockRevenueTracker()
        self.queen_orchestrator = MockQueenOrchestrator(self.memory_recall, self.swarm_coordinator, self.revenue_tracker)

    def test_execute_revenue_generation_task(self):
        self.queen_orchestrator.execute_task("revenue generation task")
        self.assertEqual(self.swarm_coordinator.get_swarm_state(), "inactive")
        self.assertEqual(self.revenue_tracker.get_revenue(), 100.0)
        self.assertEqual(self.memory_recall.recall("last_task"), "revenue generation task")

    def test_execute_other_task(self):
        self.queen_orchestrator.execute_task("data analysis task")
        self.assertEqual(self.memory_recall.recall("last_task"), "data analysis task")

# --- Integration Tests ---
class TestIntegratedQueenSystems(unittest.TestCase):
    def setUp(self):
        self.memory_recall = MockMemoryRecall()
        self.consciousness_loop = MockConsciousnessLoop()
        self.validation_gate = MockValidationGate()
        self.swarm_coordinator = MockSwarmCoordinator()
        self.knowledge_graph = MockKnowledgeGraph()
        self.revenue_tracker = MockRevenueTracker()
        self.evolution_engine = MockEvolutionEngine()
        self.constitutional_compliance = MockConstitutionalCompliance()
        self.integration_hub = MockIntegrationHub()
        self.queen_orchestrator = MockQueenOrchestrator(self.memory_recall, self.swarm_coordinator, self.revenue_tracker)

    def test_integrated_workflow(self):
        # 1. Connect to a service
        self.integration_hub.connect_service("DataService")
        self.assertIn("DataService", self.integration_hub.get_connected_services())

        # 2. Define a task
        task_description = "Analyze customer data for revenue opportunities."

        # 3. Check compliance
        is_compliant = self.constitutional_compliance.check_compliance(task_description)
        self.assertTrue(is_compliant)

        # 4. Execute the task via the orchestrator
        self.queen_orchestrator.execute_task(task_description)

        # 5. Verify memory recall
        recalled_task = self.memory_recall.recall("last_task")
        self.assertEqual(recalled_task, task_description)

        # 6. Simulate revenue generation
        self.revenue_tracker.record_revenue(500.0)
        self.assertGreater(self.revenue_tracker.get_revenue(), 0)

        # 7. Evolution Engine is invoked based on performance
        self.evolution_engine.start_evolution(10)
        self.assertEqual(self.evolution_engine.get_evolution_state(), "running")
        self.evolution_engine.stop_evolution()

        # 8. Disconnect the service
        self.integration_hub.disconnect_service("DataService")
        self.assertNotIn("DataService", self.integration_hub.get_connected_services())

# --- Performance Benchmarks ---
class TestPerformanceBenchmarks(unittest.TestCase):
    def setUp(self):
        self.memory_recall = MockMemoryRecall()

    def test_memory_recall_performance(self):
        num_items = 10000
        for i in range(num_items):
            self.memory_recall.store(f"key_{i}", f"value_{i}")

        start_time = time.time()
        for i in range(num_items):
            self.memory_recall.recall(f"key_{i}")
        end_time = time.time()

        elapsed_time = end_time - start_time
        print(f"Memory recall performance: {elapsed_time:.4f} seconds for {num_items} items")
        self.assertLess(elapsed_time, 1.0, "Memory recall performance is too slow") #Adjust the threshold as needed

    def test_validation_gate_performance(self):
        validation_gate = MockValidationGate()
        schema = {"name": str, "age": int, "city": str}
        data = {"name": "Alice", "age": 30, "city": "New York"}

        num_iterations = 10000
        start_time = time.time()
        for _ in range(num_iterations):
            validation_gate.validate(data, schema)
        end_time = time.time()
        elapsed_time = end_time - start_time
        print(f"Validation gate performance: {elapsed_time:.4f} seconds for {num_iterations} iterations")
        self.assertLess(elapsed_time, 0.5, "Validation gate performance is too slow")

# --- Stress Tests ---
class TestStressTests(unittest.TestCase):
    def test_memory_recall_stress(self):
        memory_recall = MockMemoryRecall()
        num_items = 100000  # High number of items
        for i in range(num_items):
            memory_recall.store(f"key_{i}", f"value_{i}")

        # Attempt to recall a large number of items concurrently
        threads = []
        num_threads = 10

        def recall_items(start, end):
            for i in range(start, end):
                memory_recall.recall(f"key_{i}")

        for i in range(num_threads):
            start = i * (num_items // num_threads)
            end = (i + 1) * (num_items // num_threads)
            import threading
            thread = threading.Thread(target=recall_items, args=(start, end))
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        print("Memory recall stress test completed without crashing")

    def test_swarm_coordinator_stress(self):
        swarm_coordinator = MockSwarmCoordinator()
        num_swarms = 100  # Simulate a large number of swarm activations and deactivations

        for i in range(num_swarms):
            swarm_coordinator.activate_swarm(random.randint(1, 10))  # Vary swarm size
            swarm_coordinator.deactivate_swarm()

        self.assertEqual(swarm_coordinator.get_swarm_state(), "inactive")  # Ensure it ends in a stable state
        print("Swarm coordinator stress test completed without errors.")

# --- Failure Mode Tests ---
class TestFailureModeTests(unittest.TestCase):
    def test_memory_recall_corrupted_data(self):
        memory_recall = MockMemoryRecall()
        memory_recall.store("key1", "valid_value")

        # Simulate data corruption by directly modifying the knowledge base
        memory_recall.knowledge_base["key1"] = None # Simulate a corrupted value

        retrieved_value = memory_recall.recall("key1")
        self.assertIsNone(retrieved_value, "Memory recall should return None for corrupted data")

    def test_validation_gate_invalid_schema(self):
        validation_gate = MockValidationGate()
        data = {"name": "Alice", "age": 30}
        invalid_schema = {"name": int, "age": str}  # Intentionally wrong types

        # The validation gate should handle an invalid schema gracefully.
        is_valid = validation_gate.validate(data, invalid_schema)
        self.assertFalse(is_valid, "Validation gate should identify data as invalid under incorrect schema.")

# --- Run Tests ---
if __name__ == '__main__':
    unittest.main()