"""
Performance Benchmark Tests for CHRONOS

Benchmarks core operations for performance analysis and optimization.
"""

import pytest
import time
from unittest.mock import patch, MagicMock
import json


class TestNetworkDetectionPerformance:
    """Benchmark network detection operations."""
    
    def test_single_host_scan_performance(self, benchmark, test_data_factory):
        """Benchmark single host scan."""
        def scan():
            host = test_data_factory.create_network_host()
            return host
        
        result = benchmark(scan)
        assert result is not None
    
    def test_multiple_host_scan_performance(self, benchmark):
        """Benchmark multiple host scan."""
        def scan():
            hosts = [
                {"ip": f"192.168.1.{i}", "ports": [22, 80]}
                for i in range(1, 51)
            ]
            return hosts
        
        result = benchmark(scan)
        assert len(result) == 50
    
    def test_vulnerability_detection_performance(self, benchmark):
        """Benchmark vulnerability detection."""
        def detect_vulns():
            hosts = [
                {
                    "ip": f"192.168.1.{i}",
                    "vulnerabilities": [
                        {"cve": f"CVE-2023-{1000+i}", "severity": "high"}
                    ]
                }
                for i in range(1, 101)
            ]
            return [v for h in hosts for v in h.get("vulnerabilities", [])]
        
        result = benchmark(detect_vulns)
        assert len(result) > 0
    
    def test_port_scanning_performance(self, benchmark):
        """Benchmark port scanning."""
        def scan_ports():
            ports_per_host = 65535
            scanned = 0
            for port in range(1, min(1001, ports_per_host + 1)):
                scanned += 1
            return scanned
        
        result = benchmark(scan_ports)
        assert result == 1000


class TestCryptoAnalysisPerformance:
    """Benchmark cryptographic analysis operations."""
    
    def test_rsa_key_analysis_performance(self, benchmark, test_data_factory):
        """Benchmark RSA key analysis."""
        def analyze_rsa():
            return test_data_factory.create_crypto_key(
                algorithm="RSA",
                size=2048
            )
        
        result = benchmark(analyze_rsa)
        assert result["algorithm"] == "RSA"
    
    def test_bulk_certificate_analysis_performance(self, benchmark):
        """Benchmark bulk certificate analysis."""
        def analyze_certs():
            certs = [
                {
                    "algorithm": "RSA",
                    "size": 2048,
                    "expiration_date": "2025-12-31",
                    "quantum_safe": False
                }
                for _ in range(1000)
            ]
            quantum_unsafe = [
                c for c in certs if not c["quantum_safe"]
            ]
            return quantum_unsafe
        
        result = benchmark(analyze_certs)
        assert len(result) == 1000
    
    def test_encryption_key_inventory_performance(self, benchmark):
        """Benchmark encryption key inventory analysis."""
        def inventory_keys():
            keys_by_type = {
                "RSA": 500,
                "ECDSA": 300,
                "AES": 200,
                "ChaCha20": 50
            }
            return sum(keys_by_type.values())
        
        result = benchmark(inventory_keys)
        assert result == 1050
    
    def test_pqc_migration_assessment_performance(self, benchmark):
        """Benchmark PQC migration assessment."""
        def assess_migration():
            algorithms = ["RSA", "ECDSA", "ECC"]
            pqc_candidates = {
                "RSA": "Kyber",
                "ECDSA": "Falcon",
                "ECC": "Dilithium"
            }
            
            assessments = []
            for algo in algorithms:
                assessments.append({
                    "current": algo,
                    "recommended": pqc_candidates[algo]
                })
            return assessments
        
        result = benchmark(assess_migration)
        assert len(result) == 3


class TestQuantumSimulationPerformance:
    """Benchmark quantum algorithm simulation performance."""
    
    def test_shors_algorithm_simulation_performance(self, benchmark):
        """Benchmark Shor's algorithm simulation."""
        def simulate_shors():
            # Simulate Shor's algorithm factoring
            semiprime = 15  # 3 * 5
            factors = [3, 5]
            return factors
        
        result = benchmark(simulate_shors)
        assert 3 in result and 5 in result
    
    def test_grovers_algorithm_simulation_performance(self, benchmark):
        """Benchmark Grover's algorithm simulation."""
        def simulate_grovers():
            # Simulate Grover's search
            items = list(range(256))
            target = 128
            # Grover's would find target in sqrt(256) ≈ 16 steps
            return target in items
        
        result = benchmark(simulate_grovers)
        assert result is True
    
    def test_quantum_threat_timeline_performance(self, benchmark):
        """Benchmark quantum threat timeline calculation."""
        def calc_timeline():
            algorithms_at_risk = {
                "RSA-2048": {"threat_year": 2030, "confidence": 0.7},
                "ECDSA-256": {"threat_year": 2035, "confidence": 0.6},
                "AES-256": {"threat_year": 2050, "confidence": 0.4}
            }
            return algorithms_at_risk
        
        result = benchmark(calc_timeline)
        assert len(result) == 3
    
    def test_quantum_advantage_threshold_performance(self, benchmark):
        """Benchmark quantum advantage threshold calculation."""
        def calc_threshold():
            qubit_requirements = {
                "RSA-2048": 2330,
                "RSA-4096": 6148,
                "ECC-256": 1500,
                "AES-256": 2953
            }
            return max(qubit_requirements.values())
        
        result = benchmark(calc_threshold)
        assert result == 6148


class TestDataProcessingPerformance:
    """Benchmark data processing operations."""
    
    def test_large_scan_result_parsing_performance(self, benchmark):
        """Benchmark parsing large scan results."""
        def parse_results():
            results = {
                "hosts": [
                    {
                        "ip": f"192.168.1.{i}",
                        "vulnerabilities": [
                            {"cve": f"CVE-2023-{j}", "severity": "high"}
                            for j in range(5)
                        ]
                    }
                    for i in range(100)
                ]
            }
            
            all_vulns = []
            for host in results["hosts"]:
                all_vulns.extend(host["vulnerabilities"])
            return len(all_vulns)
        
        result = benchmark(parse_results)
        assert result == 500
    
    def test_json_serialization_performance(self, benchmark):
        """Benchmark JSON serialization."""
        data = {
            "threats": [
                {
                    "id": f"threat_{i}",
                    "severity": "high",
                    "details": {"description": f"Threat {i}" * 10}
                }
                for i in range(100)
            ]
        }
        
        def serialize():
            return json.dumps(data)
        
        result = benchmark(serialize)
        assert "threat_" in result
    
    def test_json_deserialization_performance(self, benchmark):
        """Benchmark JSON deserialization."""
        json_string = json.dumps({
            "threats": [
                {
                    "id": f"threat_{i}",
                    "severity": "high",
                    "details": {"count": i}
                }
                for i in range(100)
            ]
        })
        
        def deserialize():
            return json.loads(json_string)
        
        result = benchmark(deserialize)
        assert len(result["threats"]) == 100


class TestVaultOperationPerformance:
    """Benchmark vault/encryption operations."""
    
    def test_secret_encryption_performance(self, benchmark):
        """Benchmark secret encryption."""
        def encrypt_secret():
            secret = "my-sensitive-data-" * 100
            # Simulate encryption
            encrypted = f"encrypted[{len(secret)}]"
            return encrypted
        
        result = benchmark(encrypt_secret)
        assert "encrypted" in result
    
    def test_secret_decryption_performance(self, benchmark):
        """Benchmark secret decryption."""
        def decrypt_secret():
            encrypted = "encrypted[1900]"
            # Simulate decryption
            decrypted = "my-sensitive-data-" * 100
            return decrypted
        
        result = benchmark(decrypt_secret)
        assert "my-sensitive-data-" in result
    
    def test_vault_key_rotation_performance(self, benchmark):
        """Benchmark vault key rotation."""
        def rotate_keys():
            keys = [
                {"id": i, "algorithm": "AES-256"}
                for i in range(1000)
            ]
            # Simulate rotation
            rotated = [
                {
                    "id": k["id"],
                    "algorithm": k["algorithm"],
                    "rotated": True
                }
                for k in keys
            ]
            return len(rotated)
        
        result = benchmark(rotate_keys)
        assert result == 1000
    
    def test_audit_log_writing_performance(self, benchmark):
        """Benchmark audit log writing."""
        def write_audit_logs():
            logs = [
                {
                    "timestamp": f"2024-01-{i%31+1:02d}",
                    "operation": "ENCRYPT",
                    "status": "SUCCESS"
                }
                for i in range(10000)
            ]
            return len(logs)
        
        result = benchmark(write_audit_logs)
        assert result == 10000


class TestReportGenerationPerformance:
    """Benchmark report generation operations."""
    
    def test_risk_report_generation_performance(self, benchmark):
        """Benchmark risk report generation."""
        def generate_risk_report():
            report = {
                "timestamp": "2024-01-01T00:00:00Z",
                "total_hosts": 256,
                "vulnerable_hosts": 45,
                "critical_risks": 12,
                "hosts": [
                    {
                        "ip": f"192.168.1.{i}",
                        "risk_score": 0.5,
                        "vulnerabilities": []
                    }
                    for i in range(256)
                ]
            }
            return report
        
        result = benchmark(generate_risk_report)
        assert result["total_hosts"] == 256
    
    def test_crypto_assessment_report_performance(self, benchmark):
        """Benchmark crypto assessment report generation."""
        def generate_crypto_report():
            report = {
                "total_keys": 5000,
                "quantum_vulnerable": 2500,
                "vulnerable_by_algorithm": {
                    "RSA": 1500,
                    "ECDSA": 800,
                    "ECC": 200
                },
                "recommendations": [
                    {
                        "algorithm": "RSA",
                        "recommended": "Kyber",
                        "priority": "high"
                    }
                ]
            }
            return report
        
        result = benchmark(generate_crypto_report)
        assert result["total_keys"] == 5000
    
    def test_migration_plan_report_performance(self, benchmark):
        """Benchmark migration plan report generation."""
        def generate_migration_report():
            report = {
                "total_systems": 500,
                "phase_1_systems": 150,
                "phase_2_systems": 200,
                "phase_3_systems": 150,
                "estimated_timeline_months": 18,
                "estimated_cost_usd": 500000,
                "systems": [
                    {
                        "system_id": i,
                        "phase": ((i % 3) + 1),
                        "migration_target": "Kyber"
                    }
                    for i in range(500)
                ]
            }
            return report
        
        result = benchmark(generate_migration_report)
        assert result["total_systems"] == 500


class TestCachingPerformance:
    """Benchmark caching mechanisms."""
    
    def test_vulnerability_cache_hit_performance(self, benchmark):
        """Benchmark cached vulnerability lookup."""
        cache = {
            "CVE-2023-1234": {"severity": "high", "description": "Test CVE"}
        }
        
        def lookup_cached():
            return cache.get("CVE-2023-1234")
        
        result = benchmark(lookup_cached)
        assert result is not None
    
    def test_threat_assessment_cache_performance(self, benchmark):
        """Benchmark cached threat assessment."""
        cache = {
            "RSA-2048": {"threat_year": 2030, "quantum_safe": False}
        }
        
        def assess_threat():
            return cache.get("RSA-2048")
        
        result = benchmark(assess_threat)
        assert result is not None


class TestMemoryUsagePatterns:
    """Test memory usage patterns in performance-critical operations."""
    
    def test_large_dataset_memory_usage(self):
        """Test memory efficiency with large datasets."""
        # Create large dataset
        large_hosts = [
            {"ip": f"192.168.1.{i}", "ports": list(range(1, 1001))}
            for i in range(1000)
        ]
        
        # Process and verify
        assert len(large_hosts) == 1000
        assert sum(len(h["ports"]) for h in large_hosts) == 1000000
    
    def test_streaming_large_files(self):
        """Test memory-efficient streaming of large data."""
        def stream_hosts():
            for i in range(10000):
                yield {"ip": f"192.168.1.{i}", "ports": [22, 80]}
        
        count = 0
        for host in stream_hosts():
            count += 1
        
        assert count == 10000


if __name__ == "__main__":
    pytest.main([__file__, "-v", "--benchmark-only"])
