# test_queen_systems.py

import unittest
import time
import random
import threading
from datetime import datetime

# Mock AIVA Queen-level systems (replace with actual implementations)
class Memory:
    def __init__(self, capacity=1000):
        self.capacity = capacity
        self.data = {}
        self.usage = 0

    def store(self, key, value):
        if self.usage >= self.capacity:
            return False  # Memory full
        self.data[key] = value
        self.usage += 1
        return True

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

    def clear(self):
        self.data = {}
        self.usage = 0

class ConsciousnessLoop:
    def __init__(self):
        self.state = "idle"
        self.iterations = 0

    def run(self):
        self.state = "running"
        self.iterations += 1
        time.sleep(0.1)  # Simulate processing
        self.state = "idle"

    def get_state(self):
        return self.state

    def get_iterations(self):
        return self.iterations

class ValidationGate:
    def validate(self, data):
        # Simple validation: check if data is not None and is a dictionary
        return data is not None and isinstance(data, dict)

class SwarmCoordinator:
    def __init__(self):
        self.swarm_size = 5
        self.tasks_assigned = 0

    def assign_task(self, task):
        self.tasks_assigned += 1
        time.sleep(0.05) # Simulate task assignment

    def get_efficiency(self):
        # Simplified efficiency calculation
        return self.tasks_assigned / self.swarm_size

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 get_node(self, node_id):
        return self.nodes.get(node_id)

    def get_edges(self):
        return self.edges

class RevenueTracker:
    def __init__(self):
        self.revenue = 0
        self.transactions = []

    def record_transaction(self, amount, description):
        self.revenue += amount
        self.transactions.append({"amount": amount, "description": description, "timestamp": datetime.now()})

    def get_revenue(self):
        return self.revenue

    def get_transactions(self):
        return self.transactions

class EvolutionEngine:
    def evolve(self, current_state):
        # Simple evolution: add a random number to the current state
        return current_state + random.randint(1, 10)

class ConstitutionalCompliance:
    def check_compliance(self, action):
        # Simplified compliance check: always returns True for demonstration
        return True

class IntegrationHub:
    def connect(self, service_name):
        # Simulate connecting to a service
        time.sleep(0.02)
        return True

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 execute_task(self, task, data):
        if self.constitutional_compliance.check_compliance(task):
            if self.validation_gate.validate(data):
                self.memory.store(task, data)
                self.swarm_coordinator.assign_task(task)
                self.revenue_tracker.record_transaction(data.get("value", 0), task)
                return True
            else:
                return False
        else:
            return False

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

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

    def test_memory_full(self):
        for i in range(100):
            self.memory.store(f"key_{i}", f"value_{i}")
        self.assertFalse(self.memory.store("overflow_key", "overflow_value"))

    def test_clear_memory(self):
        self.memory.store("test_key", "test_value")
        self.memory.clear()
        self.assertIsNone(self.memory.recall("test_key"))
        self.assertEqual(self.memory.usage, 0)

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

    def test_run_loop(self):
        self.loop.run()
        self.assertEqual(self.loop.get_state(), "idle")
        self.assertEqual(self.loop.get_iterations(), 1)

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

    def test_validate_valid_data(self):
        self.assertTrue(self.gate.validate({"key": "value"}))

    def test_validate_invalid_data(self):
        self.assertFalse(self.gate.validate(None))
        self.assertFalse(self.gate.validate("string"))

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

    def test_assign_task(self):
        self.coordinator.assign_task("test_task")
        self.assertEqual(self.coordinator.tasks_assigned, 1)

    def test_efficiency(self):
        for _ in range(10):
            self.coordinator.assign_task("test_task")
        self.assertGreaterEqual(self.coordinator.get_efficiency(), 0)

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

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

    def test_add_and_get_edge(self):
        self.graph.add_node("node1", {"data": "data1"})
        self.graph.add_node("node2", {"data": "data2"})
        self.graph.add_edge("node1", "node2", "relation")
        self.assertEqual(len(self.graph.get_edges()), 1)
        self.assertEqual(self.graph.get_edges()[0], ("node1", "node2", "relation"))

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

    def test_record_transaction(self):
        self.tracker.record_transaction(10, "test_transaction")
        self.assertEqual(self.tracker.get_revenue(), 10)
        self.assertEqual(len(self.tracker.get_transactions()), 1)

    def test_multiple_transactions(self):
        self.tracker.record_transaction(10, "transaction1")
        self.tracker.record_transaction(20, "transaction2")
        self.assertEqual(self.tracker.get_revenue(), 30)
        self.assertEqual(len(self.tracker.get_transactions()), 2)

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

    def test_evolve(self):
        initial_state = 5
        evolved_state = self.engine.evolve(initial_state)
        self.assertGreater(evolved_state, initial_state)

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

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

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

    def test_connect(self):
        self.assertTrue(self.hub.connect("test_service"))

# 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_execute_task_success(self):
        data = {"key": "value", "value": 100}
        self.assertTrue(self.orchestrator.execute_task("test_task", data))
        self.assertEqual(self.memory.recall("test_task"), data)
        self.assertEqual(self.coordinator.tasks_assigned, 1)
        self.assertEqual(self.tracker.get_revenue(), 100)

    def test_execute_task_validation_failure(self):
        self.assertFalse(self.orchestrator.execute_task("test_task", None))
        self.assertIsNone(self.memory.recall("test_task"))

    def test_execute_task_compliance_failure(self):
        class MockCompliance(ConstitutionalCompliance):
            def check_compliance(self, action):
                return False

        compliance = MockCompliance()
        orchestrator = QueenOrchestrator(self.memory, self.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, compliance, self.hub)
        data = {"key": "value", "value": 100}
        self.assertFalse(orchestrator.execute_task("test_task", data))
        self.assertIsNone(self.memory.recall("test_task"))

# Performance Benchmarks
class TestPerformance(unittest.TestCase):
    def setUp(self):
         self.memory = Memory(capacity=10000)
         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_store_performance(self):
        start_time = time.time()
        for i in range(10000):
            self.memory.store(f"key_{i}", f"value_{i}")
        end_time = time.time()
        print(f"Memory store performance: {end_time - start_time:.4f} seconds")

    def test_orchestrator_execution_performance(self):
        data = {"key": "value", "value": 100}
        start_time = time.time()
        for i in range(1000):
            self.orchestrator.execute_task(f"task_{i}", data)
        end_time = time.time()
        print(f"Orchestrator execution performance: {end_time - start_time:.4f} seconds")

# Stress Tests
class TestStress(unittest.TestCase):
    def setUp(self):
        self.memory = Memory(capacity=100000)
        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)
        self.num_threads = 10
        self.num_tasks_per_thread = 100

    def stress_test_task(self):
        data = {"key": "value", "value": 10}
        for i in range(self.num_tasks_per_thread):
            self.orchestrator.execute_task(f"stress_task_{i}", data)

    def test_concurrent_task_execution(self):
        threads = []
        for _ in range(self.num_threads):
            thread = threading.Thread(target=self.stress_test_task)
            threads.append(thread)
            thread.start()

        for thread in threads:
            thread.join()

        print(f"Total revenue after stress test: {self.orchestrator.revenue_tracker.get_revenue()}")
        self.assertEqual(self.orchestrator.revenue_tracker.get_revenue(), self.num_threads * self.num_tasks_per_thread * 10)

# 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 the store method always return False
        class FailingMemory(Memory):
            def store(self, key, value):
                return False

        failing_memory = FailingMemory()
        orchestrator = QueenOrchestrator(failing_memory, self.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)
        data = {"key": "value", "value": 100}
        self.assertFalse(orchestrator.execute_task("test_task", data))
        self.assertIsNone(failing_memory.recall("test_task"))

    def test_validation_gate_failure(self):
        # Simulate validation gate failure
        class FailingValidationGate(ValidationGate):
            def validate(self, data):
                return False

        failing_gate = FailingValidationGate()
        orchestrator = QueenOrchestrator(self.memory, self.loop, failing_gate, self.coordinator, self.graph, self.tracker, self.engine, self.compliance, self.hub)
        data = {"key": "value", "value": 100}
        self.assertFalse(orchestrator.execute_task("test_task", data))
        self.assertIsNone(self.memory.recall("test_task"))

    def test_integration_hub_failure(self):
        # Simulate integration hub failing to connect
        class FailingIntegrationHub(IntegrationHub):
             def connect(self, service_name):
                 return False

        failing_hub = FailingIntegrationHub()
        compliance = ConstitutionalCompliance()
        orchestrator = QueenOrchestrator(self.memory, self.loop, self.gate, self.coordinator, self.graph, self.tracker, self.engine, compliance, failing_hub)
        #The IntegrationHub is not directly used in execute_task, so this test needs to call hub.connect() directly.
        self.assertFalse(failing_hub.connect("test_service"))

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

    def test_recall_accuracy(self):
        num_items = 950  # Target 95%+ recall accuracy
        data = {}
        for i in range(num_items):
            key = f"item_{i}"
            value = f"value_{i}"
            data[key] = value
            self.memory.store(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

        recall_accuracy = correct_recalls / num_items
        print(f"Memory Recall Accuracy: {recall_accuracy:.4f}")
        self.assertGreaterEqual(recall_accuracy, 0.95)

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