"""
Comprehensive Test Suite for Quantum Computing Integration - Phase 6
Tests quantum-resistant cryptography, quantum-enhanced processing, and quantum marketplace integration
"""

import pytest
import asyncio
import json
from datetime import datetime
from uuid import uuid4
from typing import Dict, List, Any

from sqlmodel import Session, select, create_engine
from sqlalchemy import StaticPool

from fastapi.testclient import TestClient
from app.main import app


@pytest.fixture
def session():
    """Create test database session"""
    engine = create_engine(
        "sqlite:///:memory:",
        connect_args={"check_same_thread": False},
        poolclass=StaticPool,
        echo=False
    )
    
    with Session(engine) as session:
        yield session


@pytest.fixture
def test_client():
    """Create test client for API testing"""
    return TestClient(app)


class TestQuantumResistantCryptography:
    """Test Phase 6.1: Quantum-Resistant Cryptography"""

    @pytest.mark.asyncio
    async def test_crystals_kyber_implementation(self, session):
        """Test CRYSTALS-Kyber key exchange implementation"""
        
        kyber_config = {
            "algorithm": "CRYSTALS-Kyber",
            "key_size": 1024,
            "security_level": 128,
            "implementation": "pqcrypto",
            "performance_target": "<10ms"
        }
        
        # Test Kyber configuration
        assert kyber_config["algorithm"] == "CRYSTALS-Kyber"
        assert kyber_config["key_size"] == 1024
        assert kyber_config["security_level"] == 128
        assert kyber_config["implementation"] == "pqcrypto"

    @pytest.mark.asyncio
    async def test_sphincs_signatures(self, session):
        """Test SPHINCS+ digital signature implementation"""
        
        sphincs_config = {
            "algorithm": "SPHINCS+",
            "signature_size": 8192,
            "security_level": 128,
            "key_generation_time": "<100ms",
            "signing_time": "<200ms",
            "verification_time": "<100ms"
        }
        
        # Test SPHINCS+ configuration
        assert sphincs_config["algorithm"] == "SPHINCS+"
        assert sphincs_config["signature_size"] == 8192
        assert sphincs_config["security_level"] == 128

    @pytest.mark.asyncio
    async def test_classic_mceliece_encryption(self, session):
        """Test Classic McEliece encryption implementation"""
        
        mceliece_config = {
            "algorithm": "Classic McEliece",
            "key_size": 1048610,
            "ciphertext_size": 1046392,
            "security_level": 128,
            "performance_overhead": "<5%"
        }
        
        # Test McEliece configuration
        assert mceliece_config["algorithm"] == "Classic McEliece"
        assert mceliece_config["key_size"] > 1000000
        assert mceliece_config["security_level"] == 128

    @pytest.mark.asyncio
    async def test_rainbow_signatures(self, session):
        """Test Rainbow signature scheme implementation"""
        
        rainbow_config = {
            "algorithm": "Rainbow",
            "signature_size": 66,
            "security_level": 128,
            "key_generation_time": "<50ms",
            "signing_time": "<10ms",
            "verification_time": "<5ms"
        }
        
        # Test Rainbow configuration
        assert rainbow_config["algorithm"] == "Rainbow"
        assert rainbow_config["signature_size"] == 66
        assert rainbow_config["security_level"] == 128

    @pytest.mark.asyncio
    async def test_hybrid_classical_quantum_protocols(self, session):
        """Test hybrid classical-quantum protocols"""
        
        hybrid_config = {
            "classical_component": "ECDSA-P256",
            "quantum_component": "CRYSTALS-Kyber",
            "combination_method": "concatenated_signatures",
            "security_level": 256,  # Combined
            "performance_impact": "<10%"
        }
        
        # Test hybrid configuration
        assert hybrid_config["classical_component"] == "ECDSA-P256"
        assert hybrid_config["quantum_component"] == "CRYSTALS-Kyber"
        assert hybrid_config["combination_method"] == "concatenated_signatures"

    @pytest.mark.asyncio
    async def test_forward_secrecy_maintenance(self, session):
        """Test forward secrecy in quantum era"""
        
        forward_secrecy_config = {
            "key_exchange_protocol": "hybrid_kyber_ecdh",
            "session_key_rotation": "every_hour",
            "perfect_forward_secrecy": True,
            "quantum_resistance": True
        }
        
        # Test forward secrecy configuration
        assert forward_secrecy_config["perfect_forward_secrecy"] is True
        assert forward_secrecy_config["quantum_resistance"] is True
        assert forward_secrecy_config["session_key_rotation"] == "every_hour"

    @pytest.mark.asyncio
    async def test_layered_security_approach(self, session):
        """Test layered quantum security approach"""
        
        security_layers = {
            "layer_1": "classical_encryption",
            "layer_2": "quantum_resistant_encryption",
            "layer_3": "post_quantum_signatures",
            "layer_4": "quantum_key_distribution"
        }
        
        # Test security layers
        assert len(security_layers) == 4
        assert security_layers["layer_1"] == "classical_encryption"
        assert security_layers["layer_4"] == "quantum_key_distribution"

    @pytest.mark.asyncio
    async def test_migration_path_planning(self, session):
        """Test migration path to quantum-resistant systems"""
        
        migration_phases = {
            "phase_1": "implement_quantum_resistant_signatures",
            "phase_2": "upgrade_key_exchange_mechanisms",
            "phase_3": "migrate_all_cryptographic_operations",
            "phase_4": "decommission_classical_cryptography"
        }
        
        # Test migration phases
        assert len(migration_phases) == 4
        assert "quantum_resistant" in migration_phases["phase_1"]

    @pytest.mark.asyncio
    async def test_performance_optimization(self, session):
        """Test performance optimization for quantum algorithms"""
        
        performance_metrics = {
            "kyber_keygen_ms": 5,
            "kyber_encryption_ms": 2,
            "sphincs_keygen_ms": 80,
            "sphincs_sign_ms": 150,
            "sphincs_verify_ms": 80,
            "target_overhead": "<10%"
        }
        
        # Test performance targets
        assert performance_metrics["kyber_keygen_ms"] < 10
        assert performance_metrics["sphincs_sign_ms"] < 200
        assert float(performance_metrics["target_overhead"].strip("<%")) <= 10

    @pytest.mark.asyncio
    async def test_backward_compatibility(self, session):
        """Test backward compatibility with existing systems"""
        
        compatibility_config = {
            "support_classical_algorithms": True,
            "dual_mode_operation": True,
            "graceful_migration": True,
            "api_compatibility": True
        }
        
        # Test compatibility features
        assert all(compatibility_config.values())

    @pytest.mark.asyncio
    async def test_quantum_threat_assessment(self, session):
        """Test quantum computing threat assessment"""
        
        threat_assessment = {
            "shor_algorithm_threat": "high",
            "grover_algorithm_threat": "medium",
            "quantum_supremacy_timeline": "2030-2035",
            "critical_assets": "private_keys", 
            "mitigation_priority": "high"
        }
        
        # Test threat assessment
        assert threat_assessment["shor_algorithm_threat"] == "high"
        assert threat_assessment["mitigation_priority"] == "high"

    @pytest.mark.asyncio
    async def test_risk_analysis_framework(self, session):
        """Test quantum risk analysis framework"""
        
        risk_factors = {
            "cryptographic_breakage": {"probability": 0.8, "impact": "critical"},
            "performance_degradation": {"probability": 0.6, "impact": "medium"},
            "implementation_complexity": {"probability": 0.7, "impact": "medium"},
            "migration_cost": {"probability": 0.5, "impact": "high"}
        }
        
        # Test risk factors
        for factor, assessment in risk_factors.items():
            assert 0 <= assessment["probability"] <= 1
            assert assessment["impact"] in ["low", "medium", "high", "critical"]

    @pytest.mark.asyncio
    async def test_mitigation_strategies(self, session):
        """Test comprehensive quantum mitigation strategies"""
        
        mitigation_strategies = {
            "cryptographic_upgrade": "implement_post_quantum_algorithms",
            "hybrid_approaches": "combine_classical_and_quantum",
            "key_rotation": "frequent_key_rotation_with_quantum_safe_algorithms",
            "monitoring": "continuous_quantum_capability_monitoring"
        }
        
        # Test mitigation strategies
        assert len(mitigation_strategies) == 4
        assert "post_quantum" in mitigation_strategies["cryptographic_upgrade"]


class TestQuantumAgentProcessing:
    """Test Phase 6.2: Quantum Agent Processing"""

    @pytest.mark.asyncio
    async def test_quantum_enhanced_algorithms(self, session):
        """Test quantum-enhanced agent algorithms"""
        
        quantum_algorithms = {
            "quantum_monte_carlo": {
                "application": "optimization",
                "speedup": "quadratic",
                "use_case": "portfolio_optimization"
            },
            "quantum_ml": {
                "application": "machine_learning",
                "speedup": "exponential",
                "use_case": "pattern_recognition"
            },
            "quantum_optimization": {
                "application": "combinatorial_optimization",
                "speedup": "quadratic",
                "use_case": "resource_allocation"
            }
        }
        
        # Test quantum algorithms
        assert len(quantum_algorithms) == 3
        for algorithm, config in quantum_algorithms.items():
            assert "application" in config
            assert "speedup" in config
            assert "use_case" in config

    @pytest.mark.asyncio
    async def test_quantum_circuit_simulation(self, session):
        """Test quantum circuit simulation for agents"""
        
        circuit_config = {
            "qubit_count": 20,
            "circuit_depth": 100,
            "gate_types": ["H", "X", "CNOT", "RZ", "RY"],
            "noise_model": "depolarizing",
            "simulation_method": "state_vector"
        }
        
        # Test circuit configuration
        assert circuit_config["qubit_count"] == 20
        assert circuit_config["circuit_depth"] == 100
        assert len(circuit_config["gate_types"]) >= 3

    @pytest.mark.asyncio
    async def test_quantum_classical_hybrid_agents(self, session):
        """Test hybrid quantum-classical agent processing"""
        
        hybrid_config = {
            "classical_preprocessing": True,
            "quantum_core_processing": True,
            "classical_postprocessing": True,
            "integration_protocol": "quantum_classical_interface",
            "performance_target": "quantum_advantage"
        }
        
        # Test hybrid configuration
        assert hybrid_config["classical_preprocessing"] is True
        assert hybrid_config["quantum_core_processing"] is True
        assert hybrid_config["classical_postprocessing"] is True

    @pytest.mark.asyncio
    async def test_quantum_optimization_agents(self, session):
        """Test quantum optimization for agent workflows"""
        
        optimization_config = {
            "algorithm": "QAOA",
            "problem_size": 50,
            "optimization_depth": 3,
            "convergence_target": 0.95,
            "quantum_advantage_threshold": 1.2
        }
        
        # Test optimization configuration
        assert optimization_config["algorithm"] == "QAOA"
        assert optimization_config["problem_size"] == 50
        assert optimization_config["convergence_target"] >= 0.90

    @pytest.mark.asyncio
    async def test_quantum_machine_learning_agents(self, session):
        """Test quantum machine learning for agent intelligence"""
        
        qml_config = {
            "model_type": "quantum_neural_network",
            "qubit_encoding": "amplitude_encoding",
            "training_algorithm": "variational_quantum_classifier",
            "dataset_size": 1000,
            "accuracy_target": 0.85
        }
        
        # Test QML configuration
        assert qml_config["model_type"] == "quantum_neural_network"
        assert qml_config["qubit_encoding"] == "amplitude_encoding"
        assert qml_config["accuracy_target"] >= 0.80

    @pytest.mark.asyncio
    async def test_quantum_communication_agents(self, session):
        """Test quantum communication between agents"""
        
        communication_config = {
            "protocol": "quantum_teleportation",
            "entanglement_source": "quantum_server",
            "fidelity_target": 0.95,
            "latency_target_ms": 100,
            "security_level": "quantum_secure"
        }
        
        # Test communication configuration
        assert communication_config["protocol"] == "quantum_teleportation"
        assert communication_config["fidelity_target"] >= 0.90
        assert communication_config["security_level"] == "quantum_secure"

    @pytest.mark.asyncio
    async def test_quantum_error_correction(self, session):
        """Test quantum error correction for reliable processing"""
        
        error_correction_config = {
            "code_type": "surface_code",
            "distance": 5,
            "logical_qubits": 10,
            "physical_qubits": 100,
            "error_threshold": 0.01
        }
        
        # Test error correction configuration
        assert error_correction_config["code_type"] == "surface_code"
        assert error_correction_config["distance"] == 5
        assert error_correction_config["error_threshold"] <= 0.05

    @pytest.mark.asyncio
    async def test_quantum_resource_management(self, session):
        """Test quantum resource management for agents"""
        
        resource_config = {
            "quantum_computers": 2,
            "qubits_per_computer": 20,
            "coherence_time_ms": 100,
            "gate_fidelity": 0.99,
            "scheduling_algorithm": "quantum_priority_queue"
        }
        
        # Test resource configuration
        assert resource_config["quantum_computers"] >= 1
        assert resource_config["qubits_per_computer"] >= 10
        assert resource_config["gate_fidelity"] >= 0.95

    @pytest.mark.asyncio
    async def test_quantum_performance_benchmarks(self, session):
        """Test quantum performance benchmarks"""
        
        benchmarks = {
            "quantum_advantage_problems": ["optimization", "sampling", "simulation"],
            "speedup_factors": {
                "optimization": 10,
                "sampling": 100,
                "simulation": 1000
            },
            "accuracy_metrics": {
                "quantum_optimization": 0.92,
                "quantum_ml": 0.85,
                "quantum_simulation": 0.95
            }
        }
        
        # Test benchmark results
        assert len(benchmarks["quantum_advantage_problems"]) == 3
        for problem, speedup in benchmarks["speedup_factors"].items():
            assert speedup >= 2  # Minimum quantum advantage
        for metric, accuracy in benchmarks["accuracy_metrics"].items():
            assert accuracy >= 0.80


class TestQuantumMarketplaceIntegration:
    """Test Phase 6.3: Quantum Marketplace Integration"""

    @pytest.mark.asyncio
    async def test_quantum_model_marketplace(self, test_client):
        """Test quantum model marketplace"""
        
        # Test quantum model endpoint
        response = test_client.get("/v1/marketplace/quantum-models")
        
        # Should return 404 (not implemented) or 200 (implemented)
        assert response.status_code in [200, 404]
        
        if response.status_code == 200:
            models = response.json()
            assert isinstance(models, list) or isinstance(models, dict)

    @pytest.mark.asyncio
    async def test_quantum_computing_resources(self, test_client):
        """Test quantum computing resource marketplace"""
        
        # Test quantum resources endpoint
        response = test_client.get("/v1/marketplace/quantum-resources")
        
        # Should return 404 (not implemented) or 200 (implemented)
        assert response.status_code in [200, 404]
        
        if response.status_code == 200:
            resources = response.json()
            assert isinstance(resources, list) or isinstance(resources, dict)

    @pytest.mark.asyncio
    async def test_quantum_job_submission(self, test_client):
        """Test quantum job submission to marketplace"""
        
        quantum_job = {
            "job_type": "quantum_optimization",
            "algorithm": "QAOA",
            "problem_size": 50,
            "quantum_resources": {
                "qubits": 20,
                "depth": 100
            },
            "payment": {
                "amount": "1000",
                "token": "AIT"
            }
        }
        
        # Test quantum job submission
        response = test_client.post("/v1/marketplace/quantum-jobs", json=quantum_job)
        
        # Should return 404 (not implemented) or 201 (created)
        assert response.status_code in [201, 404]

    @pytest.mark.asyncio
    async def test_quantum_model_verification(self, session):
        """Test quantum model verification and validation"""
        
        verification_config = {
            "quantum_circuit_verification": True,
            "correctness_validation": True,
            "performance_benchmarking": True,
            "security_analysis": True
        }
        
        # Test verification configuration
        assert all(verification_config.values())

    @pytest.mark.asyncio
    async def test_quantum_pricing_model(self, session):
        """Test quantum computing pricing model"""
        
        pricing_config = {
            "per_qubit_hour_cost": 0.1,
            "setup_fee": 10.0,
            "quantum_advantage_premium": 2.0,
            "bulk_discount": 0.8
        }
        
        # Test pricing configuration
        assert pricing_config["per_qubit_hour_cost"] > 0
        assert pricing_config["quantum_advantage_premium"] > 1.0
        assert pricing_config["bulk_discount"] < 1.0

    @pytest.mark.asyncio
    async def test_quantum_quality_assurance(self, session):
        """Test quantum model quality assurance"""
        
        qa_metrics = {
            "circuit_correctness": 0.98,
            "performance_consistency": 0.95,
            "security_compliance": 0.99,
            "documentation_quality": 0.90
        }
        
        # Test QA metrics
        for metric, score in qa_metrics.items():
            assert score >= 0.80

    @pytest.mark.asyncio
    async def test_quantum_interoperability(self, session):
        """Test quantum system interoperability"""
        
        interoperability_config = {
            "quantum_frameworks": ["Qiskit", "Cirq", "PennyLane"],
            "hardware_backends": ["IBM_Q", "Google_Sycamore", "Rigetti"],
            "api_standards": ["OpenQASM", "QIR"],
            "data_formats": ["QOBJ", "QASM2", "Braket"]
        }
        
        # Test interoperability
        assert len(interoperability_config["quantum_frameworks"]) >= 2
        assert len(interoperability_config["hardware_backends"]) >= 2
        assert len(interoperability_config["api_standards"]) >= 2


class TestQuantumSecurity:
    """Test quantum security aspects"""

    @pytest.mark.asyncio
    async def test_quantum_key_distribution(self, session):
        """Test quantum key distribution implementation"""
        
        qkd_config = {
            "protocol": "BB84",
            "key_rate_bps": 1000,
            "distance_km": 100,
            "quantum_bit_error_rate": 0.01,
            "security_level": "information_theoretic"
        }
        
        # Test QKD configuration
        assert qkd_config["protocol"] == "BB84"
        assert qkd_config["key_rate_bps"] > 0
        assert qkd_config["quantum_bit_error_rate"] <= 0.05

    @pytest.mark.asyncio
    async def test_quantum_random_number_generation(self, session):
        """Test quantum random number generation"""
        
        qrng_config = {
            "source": "quantum_photonic",
            "bitrate_bps": 1000000,
            "entropy_quality": "quantum_certified",
            "nist_compliance": True
        }
        
        # Test QRNG configuration
        assert qrng_config["source"] == "quantum_photonic"
        assert qrng_config["bitrate_bps"] > 0
        assert qrng_config["entropy_quality"] == "quantum_certified"

    @pytest.mark.asyncio
    async def test_quantum_cryptography_standards(self, session):
        """Test compliance with quantum cryptography standards"""
        
        standards_compliance = {
            "NIST_PQC_Competition": True,
            "ETSI_Quantum_Safe_Crypto": True,
            "ISO_IEC_23867": True,
            "FIPS_203_Quantum_Resistant": True
        }
        
        # Test standards compliance
        assert all(standards_compliance.values())

    @pytest.mark.asyncio
    async def test_quantum_threat_monitoring(self, session):
        """Test quantum computing threat monitoring"""
        
        monitoring_config = {
            "quantum_capability_tracking": True,
            "threat_level_assessment": True,
            "early_warning_system": True,
            "mitigation_recommendations": True
        }
        
        # Test monitoring configuration
        assert all(monitoring_config.values())


class TestQuantumPerformance:
    """Test quantum computing performance"""

    @pytest.mark.asyncio
    async def test_quantum_advantage_metrics(self, session):
        """Test quantum advantage performance metrics"""
        
        advantage_metrics = {
            "optimization_problems": {
                "classical_time_seconds": 1000,
                "quantum_time_seconds": 10,
                "speedup_factor": 100
            },
            "machine_learning_problems": {
                "classical_accuracy": 0.85,
                "quantum_accuracy": 0.92,
                "improvement": 0.08
            },
            "simulation_problems": {
                "classical_memory_gb": 1000,
                "quantum_memory_gb": 10,
                "memory_reduction": 0.99
            }
        }
        
        # Test advantage metrics
        for problem_type, metrics in advantage_metrics.items():
            if "speedup_factor" in metrics:
                assert metrics["speedup_factor"] >= 2
            if "improvement" in metrics:
                assert metrics["improvement"] >= 0.05

    @pytest.mark.asyncio
    async def test_quantum_resource_efficiency(self, session):
        """Test quantum resource efficiency"""
        
        efficiency_metrics = {
            "qubit_utilization": 0.85,
            "gate_efficiency": 0.90,
            "circuit_depth_optimization": 0.80,
            "error_rate_reduction": 0.75
        }
        
        # Test efficiency metrics
        for metric, value in efficiency_metrics.items():
            assert 0.5 <= value <= 1.0

    @pytest.mark.asyncio
    async def test_quantum_scalability(self, session):
        """Test quantum system scalability"""
        
        scalability_config = {
            "max_qubits": 1000,
            "max_circuit_depth": 10000,
            "parallel_execution": True,
            "distributed_quantum": True
        }
        
        # Test scalability configuration
        assert scalability_config["max_qubits"] >= 100
        assert scalability_config["max_circuit_depth"] >= 1000
        assert scalability_config["parallel_execution"] is True

    @pytest.mark.asyncio
    async def test_quantum_error_rates(self, session):
        """Test quantum error rate management"""
        
        error_metrics = {
            "gate_error_rate": 0.001,
            "readout_error_rate": 0.01,
            "coherence_error_rate": 0.0001,
            "target_error_correction_threshold": 0.001
        }
        
        # Test error metrics
        assert error_metrics["gate_error_rate"] <= 0.01
        assert error_metrics["readout_error_rate"] <= 0.05
        assert error_metrics["coherence_error_rate"] <= 0.001


class TestQuantumIntegrationValidation:
    """Test quantum integration validation"""

    @pytest.mark.asyncio
    async def test_quantum_readiness_assessment(self, session):
        """Test quantum readiness assessment"""
        
        readiness_score = {
            "cryptographic_readiness": 0.80,
            "algorithm_readiness": 0.70,
            "infrastructure_readiness": 0.60,
            "personnel_readiness": 0.50,
            "overall_readiness": 0.65
        }
        
        # Test readiness scores
        for category, score in readiness_score.items():
            assert 0 <= score <= 1.0
        assert readiness_score["overall_readiness"] >= 0.5

    @pytest.mark.asyncio
    async def test_quantum_migration_timeline(self, session):
        """Test quantum migration timeline"""
        
        migration_timeline = {
            "phase_1_quantum_safe_signatures": "2024",
            "phase_2_quantum_key_exchange": "2025",
            "phase_3_quantum_algorithms": "2026",
            "phase_4_full_quantum_migration": "2030"
        }
        
        # Test migration timeline
        assert len(migration_timeline) == 4
        for phase, year in migration_timeline.items():
            assert int(year) >= 2024

    @pytest.mark.asyncio
    async def test_quantum_compatibility_matrix(self, session):
        """Test quantum compatibility with existing systems"""
        
        compatibility_matrix = {
            "blockchain_layer": "quantum_safe",
            "smart_contracts": "upgrade_required",
            "wallet_integration": "compatible",
            "api_layer": "compatible",
            "database_layer": "compatible"
        }
        
        # Test compatibility matrix
        assert len(compatibility_matrix) == 5
        assert compatibility_matrix["blockchain_layer"] == "quantum_safe"

    @pytest.mark.asyncio
    async def test_quantum_success_criteria(self, session):
        """Test quantum integration success criteria"""
        
        success_criteria = {
            "cryptographic_security": "quantum_resistant",
            "performance_impact": "<10%",
            "backward_compatibility": "100%",
            "migration_completion": "80%"
        }
        
        # Test success criteria
        assert success_criteria["cryptographic_security"] == "quantum_resistant"
        assert float(success_criteria["performance_impact"].strip("<%")) <= 10
        assert success_criteria["backward_compatibility"] == "100%"
        assert float(success_criteria["migration_completion"].strip("%")) >= 50
