from typing import Dict, Any, List, Protocol
from dataclasses import dataclass, field
from enum import Enum
import asyncio
import aiohttp
import logging
from datetime import datetime, timedelta

class IntegrationPattern(Enum):
    """Common enterprise integration patterns."""
    REQUEST_REPLY = "request_reply"
    PUBLISH_SUBSCRIBE = "publish_subscribe" 
    MESSAGE_QUEUE = "message_queue"
    API_GATEWAY = "api_gateway"
    SERVICE_MESH = "service_mesh"

@dataclass
class SystemConnection:
    """Configuration for enterprise system connections."""
    system_name: str
    endpoint: str
    auth_method: str
    credentials: Dict[str, Any]
    retry_policy: Dict[str, int] = field(default_factory=dict)
    circuit_breaker: bool = True
    timeout_seconds: int = 30
    rate_limit: Optional[int] = None

# Standard adapter interface for enterprise systems

class EnterpriseSystemAdapter(Protocol):
    """Protocol for enterprise system adapters."""

    async def connect(self) -> bool:
        """Establish connection to enterprise system."""
        ...

    async def authenticate(self, credentials: Dict[str, Any]) -> bool:
        """Authenticate with enterprise system."""
        ...

    async def execute_operation(self, operation: str, 
                               params: Dict[str, Any]) -> Any:
        """Execute operation on enterprise system."""
        ...

    async def health_check(self) -> bool:
        """Check system health and connectivity."""
        ...

class SAPIntegrationAdapter:
    """Adapter for SAP ERP system integration."""

    def __init__(self, base_url: str, credentials: Dict[str, Any]):
        self.base_url = base_url.rstrip('/')
        self.credentials = credentials
        self.session: Optional[aiohttp.ClientSession] = None
        self.auth_token: Optional[str] = None
        self.token_expires: Optional[datetime] = None
        self.logger = logging.getLogger(__name__)

    async def connect(self) -> bool:
        """Establish connection to SAP system with enterprise configuration."""
        try:
            # Configure TCP connector with enterprise settings
            connector = aiohttp.TCPConnector(
                limit=50,  # Total connection pool size
                limit_per_host=10,  # Connections per host
                keepalive_timeout=30  # Keep connections alive
            )

            # HTTP session configuration
            self.session = aiohttp.ClientSession(
                connector=connector,
                timeout=aiohttp.ClientTimeout(total=30),
                headers={
                    "User-Agent": "EnterpriseAgent-SAP/1.0",
                    "Accept": "application/json"
                }
            )
            return await self.authenticate(self.credentials)
        except Exception as e:
            self.logger.error(f"SAP connection failed: {e}")
            return False

    async def authenticate(self, credentials: Dict[str, Any]) -> bool:
        """Authenticate with SAP using OAuth 2.0."""
        auth_url = f"{self.base_url}/oauth/token"

        # Prepare OAuth 2.0 client credentials grant
        auth_data = {
            "grant_type": "client_credentials",
            "client_id": credentials["client_id"],
            "client_secret": credentials["client_secret"],
            "scope": credentials.get("scope", "read write")
        }

        try:
            async with self.session.post(auth_url, data=auth_data) as response:
                if response.status == 200:
                    token_data = await response.json()
                    self.auth_token = token_data["access_token"]
                    expires_in = token_data.get("expires_in", 3600)
                    self.token_expires = datetime.now() + timedelta(seconds=expires_in)

                    # Update session headers with bearer token
                    self.session.headers.update({
                        "Authorization": f"Bearer {self.auth_token}"
                    })
                    return True
                else:
                    self.logger.error(f"SAP auth failed: {response.status}")
                    return False
        except Exception as e:
            self.logger.error(f"SAP authentication error: {e}")
            return False

    async def get_customer_data(self, customer_id: str) -> Dict[str, Any]:
        """Retrieve customer data from SAP."""
        if not customer_id:
            raise ValueError("customer_id is required")

        # Ensure we have valid authentication
        if not await self._ensure_authenticated():
            raise Exception("Authentication failed")

        # Build SAP OData URL
        service_url = f"{self.base_url}/sap/opu/odata/sap/ZCustomerService"
        entity_url = f"{service_url}/CustomerSet('{customer_id}')"

        try:
            async with self.session.get(entity_url) as response:
                if response.status == 200:
                    data = await response.json()
                    return self._transform_customer_data(data)
                elif response.status == 404:
                    return {"error": "Customer not found", "customer_id": customer_id}
                else:
                    error_text = await response.text()
                    raise Exception(f"SAP API error: {response.status} - {error_text}")
        except Exception as e:
            self.logger.error(f"Customer data retrieval failed: {e}")
            raise

    async def _ensure_authenticated(self) -> bool:
        """Ensure we have a valid authentication token."""
        if not self.auth_token:
            return await self.authenticate(self.credentials)

        # Check if token is about to expire (refresh 5 minutes early)
        if self.token_expires:
            time_until_expiry = self.token_expires - datetime.now()
            if time_until_expiry.total_seconds() < 300:  # 5 minutes
                self.logger.info("Token expiring soon, refreshing...")
                return await self.authenticate(self.credentials)

        return True

from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker

class EnterpriseDatabase:
    """Enterprise database connection manager."""

    def __init__(self, database_configs: Dict[str, Dict[str, Any]]):
        self.configs = database_configs
        self.engines = {}
        self.session_factories = {}

    async def initialize_connections(self):
        """Initialize all configured database connections."""
        for db_name, config in self.configs.items():
            await self._setup_database(db_name, config)

    async def _setup_postgresql(self, db_name: str, config: Dict[str, Any]):
        """Setup PostgreSQL connection with enterprise configuration."""
        connection_string = (
            f"postgresql+asyncpg://{config['username']}:{config['password']}"
            f"@{config['host']}:{config['port']}/{config['database']}"
        )

        # Database engine configuration
        engine = create_async_engine(
            connection_string,
            pool_size=config.get("pool_size", 10),
            max_overflow=config.get("max_overflow", 20),
            pool_pre_ping=True,  # Validate connections before use
            pool_recycle=3600,   # Recycle connections every hour
            echo=config.get("debug", False)
        )

        # Session factory setup
        self.engines[db_name] = engine
        self.session_factories[db_name] = sessionmaker(
            bind=engine,
            class_=AsyncSession,
            expire_on_commit=False
        )

from typing import Dict, List, Optional, Set
from datetime import datetime, timedelta
import jwt
import bcrypt
from enum import Enum
from dataclasses import dataclass

class AuthenticationMethod(Enum):
    """Supported authentication methods."""
    BASIC = "basic"
    OAUTH2 = "oauth2"
    SAML = "saml"
    LDAP = "ldap"
    MFA = "mfa"
    CERTIFICATE = "certificate"

@dataclass
class UserContext:
    """User context with comprehensive attributes."""
    user_id: str
    username: str
    email: str
    roles: Set[str]
    permissions: Set[str]
    department: str
    security_clearance: str
    mfa_verified: bool = False
    last_authenticated: Optional[datetime] = None
    session_expires: Optional[datetime] = None

class EnterpriseAuthManager:
    """Comprehensive authentication and authorization manager."""

    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.active_sessions: Dict[str, UserContext] = {}
        self.failed_attempts: Dict[str, int] = {}
        self.blacklisted_tokens: Set[str] = set()

    async def authenticate(self, credentials: Dict[str, Any]) -> Optional[UserContext]:
        """Authenticate user with multiple factor support."""
        auth_method = credentials.get("method", "basic")
        username = credentials.get("username")

        # Check for account lockout
        if self._is_account_locked(username):
            raise AuthenticationError("Account locked due to failed attempts")

        try:
            if auth_method == AuthenticationMethod.BASIC.value:
                return await self._authenticate_basic(credentials)
            elif auth_method == AuthenticationMethod.OAUTH2.value:
                return await self._authenticate_oauth2(credentials)
            elif auth_method == AuthenticationMethod.LDAP.value:
                return await self._authenticate_ldap(credentials)
            else:
                raise AuthenticationError(f"Unsupported auth method: {auth_method}")
        except AuthenticationError:
            self._record_failed_attempt(username)
            raise

    def _is_account_locked(self, username: str) -> bool:
        """Check if account is locked due to failed attempts."""
        attempts = self.failed_attempts.get(username, 0)
        return attempts >= 5  # Lock after 5 failed attempts

    def _record_failed_attempt(self, username: str):
        """Record failed authentication attempt."""
        self.failed_attempts[username] = self.failed_attempts.get(username, 0) + 1

from enum import Enum

class Permission(Enum):
    """System permissions with hierarchical structure."""
    # Agent operations
    AGENT_CREATE = "agent:create"
    AGENT_READ = "agent:read"
    AGENT_UPDATE = "agent:update"
    AGENT_DELETE = "agent:delete"
    AGENT_EXECUTE = "agent:execute"

    # Data access by classification
    DATA_READ_PUBLIC = "data:read:public"
    DATA_READ_INTERNAL = "data:read:internal"
    DATA_READ_CONFIDENTIAL = "data:read:confidential"
    DATA_READ_SECRET = "data:read:secret"

    # System administration
    SYSTEM_CONFIG = "system:config"
    SYSTEM_MONITOR = "system:monitor"
    SYSTEM_ADMIN = "system:admin"

@dataclass
class Role:
    """Role definition with permissions and constraints."""
    name: str
    permissions: Set[Permission]
    constraints: Dict[str, Any] = field(default_factory=dict)
    inherits_from: List[str] = field(default_factory=list)

class RBACManager:
    """Role-Based Access Control manager."""

    def __init__(self):
        self.roles: Dict[str, Role] = {}
        self.user_roles: Dict[str, Set[str]] = {}
        self._initialize_default_roles()

    def _initialize_default_roles(self):
        """Initialize standard enterprise roles."""
        # Data Analyst role
        self.roles["data_analyst"] = Role(
            name="data_analyst",
            permissions={
                Permission.AGENT_READ,
                Permission.AGENT_EXECUTE,
                Permission.DATA_READ_PUBLIC,
                Permission.DATA_READ_INTERNAL
            },
            constraints={
                "time_restriction": "business_hours",
                "ip_whitelist": ["10.0.0.0/8"],
                "max_concurrent_sessions": 3
            }
        )

        # System Administrator role
        self.roles["system_admin"] = Role(
            name="system_admin",
            permissions={
                Permission.AGENT_CREATE,
                Permission.AGENT_READ,
                Permission.AGENT_UPDATE,
                Permission.AGENT_DELETE,
                Permission.SYSTEM_CONFIG,
                Permission.SYSTEM_MONITOR,
                Permission.SYSTEM_ADMIN
            }
        )

from cryptography.fernet import Fernet, MultiFernet
import os
import base64
import json

class EnterpriseEncryption:
    """Enterprise-grade encryption service."""

    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.symmetric_keys = self._initialize_symmetric_keys()
        self.key_rotation_interval = config.get("key_rotation_hours", 24)

    def _initialize_symmetric_keys(self) -> MultiFernet:
        """Initialize symmetric encryption with key rotation support."""
        keys = []

        # Primary key (current)
        primary_key = os.environ.get("ENCRYPTION_KEY_PRIMARY")
        if primary_key:
            keys.append(Fernet(primary_key.encode()))
        else:
            # Generate new key if none provided
            keys.append(Fernet(Fernet.generate_key()))

        # Secondary key (for rotation)
        secondary_key = os.environ.get("ENCRYPTION_KEY_SECONDARY")
        if secondary_key:
            keys.append(Fernet(secondary_key.encode()))

        return MultiFernet(keys)

    async def encrypt_sensitive_data(self, data: Dict[str, Any], 
                                   classification: str = "internal") -> Dict[str, Any]:
        """Encrypt data based on classification level."""
        encrypted_data = {}

        for key, value in data.items():
            field_classification = self._get_field_classification(key, classification)

            if field_classification in ["confidential", "secret"]:
                # Use asymmetric encryption for highly sensitive data
                encrypted_value = self._asymmetric_encrypt(str(value))
                encrypted_data[key] = {
                    "value": encrypted_value,
                    "encrypted": True,
                    "method": "asymmetric",
                    "classification": field_classification
                }
            elif field_classification == "internal":
                # Use symmetric encryption for internal data
                encrypted_value = self.symmetric_keys.encrypt(str(value).encode())
                encrypted_data[key] = {
                    "value": base64.b64encode(encrypted_value).decode(),
                    "encrypted": True,
                    "method": "symmetric",
                    "classification": field_classification
                }
            else:
                # Public data doesn't need encryption
                encrypted_data[key] = {
                    "value": value,
                    "encrypted": False,
                    "classification": field_classification
                }

        return encrypted_data

from typing import Dict, Any, List
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum

class MetricType(Enum):
    """Types of metrics collected."""
    COUNTER = "counter"      # Monotonically increasing values
    GAUGE = "gauge"          # Snapshot values that can go up or down
    HISTOGRAM = "histogram"  # Distribution of values with buckets
    SUMMARY = "summary"      # Distribution with quantiles

@dataclass
class Metric:
    """Individual metric definition."""
    name: str
    type: MetricType
    value: float
    labels: Dict[str, str] = field(default_factory=dict)
    timestamp: datetime = field(default_factory=datetime.now)
    description: str = ""

class BasicMonitoring:
    """Basic monitoring system for production agents."""

    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.metrics_store: Dict[str, List[Metric]] = {}

    async def collect_agent_metrics(self, agent_id: str) -> Dict[str, Any]:
        """Collect basic agent performance metrics."""
        metrics = {
            "agent_id": agent_id,
            "timestamp": datetime.now().isoformat(),
            "performance": await self._collect_performance_metrics(agent_id),
            "health": await self._collect_health_metrics(agent_id),
            "errors": await self._collect_error_metrics(agent_id)
        }

        return metrics

    async def _collect_performance_metrics(self, agent_id: str) -> Dict[str, Any]:
        """Collect agent performance metrics."""
        return {
            "cpu_usage_percent": 0.0,  # Implement actual collection
            "memory_usage_mb": 0.0,
            "request_latency_ms": 0.0,
            "throughput_rps": 0.0,
            "error_rate_percent": 0.0
        }

class HealthChecker:
    """Production health monitoring system."""

    def __init__(self, system_components: Dict[str, Any]):
        self.components = system_components

    async def comprehensive_health_check(self) -> Dict[str, Any]:
        """Perform comprehensive system health check."""
        health_status = {
            "overall_status": "unknown",
            "timestamp": datetime.now().isoformat(),
            "components": {}
        }

        all_healthy = True

        # Check database connectivity
        db_health = await self._check_database_health()
        health_status["components"]["database"] = db_health
        if not db_health["healthy"]:
            all_healthy = False

        # Check external API connectivity
        api_health = await self._check_api_health()
        health_status["components"]["external_apis"] = api_health
        if not api_health["healthy"]:
            all_healthy = False

        # Check system resources
        resource_health = await self._check_system_resources()
        health_status["components"]["resources"] = resource_health
        if not resource_health["healthy"]:
            all_healthy = False

        health_status["overall_status"] = "healthy" if all_healthy else "unhealthy"
        return health_status

    async def _check_database_health(self) -> Dict[str, Any]:
        """Check database connectivity and performance."""
        try:
            # Implement actual database health check
            return {"healthy": True, "response_time_ms": 10}
        except Exception as e:
            return {"healthy": False, "error": str(e)}

from enum import Enum

class AlertSeverity(Enum):
    """Alert severity levels."""
    INFO = "info"
    WARNING = "warning"
    ERROR = "error"
    CRITICAL = "critical"

@dataclass
class Alert:
    """Basic alert definition."""
    alert_id: str
    name: str
    description: str
    severity: AlertSeverity
    triggered_at: datetime
    resolved_at: Optional[datetime] = None

class BasicAlertManager:
    """Basic alert management system."""

    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.active_alerts: Dict[str, Alert] = {}
        self.alert_thresholds = {
            "cpu_usage": 80.0,
            "memory_usage": 85.0,
            "error_rate": 5.0,
            "response_time": 2000.0  # milliseconds
        }

    async def evaluate_alerts(self, metrics: Dict[str, Any]):
        """Evaluate metrics against alert thresholds."""
        performance = metrics.get("performance", {})

        # Check CPU usage
        cpu_usage = performance.get("cpu_usage_percent", 0)
        if cpu_usage > self.alert_thresholds["cpu_usage"]:
            await self._create_alert(
                "high_cpu_usage",
                f"High CPU usage: {cpu_usage}%",
                AlertSeverity.WARNING
            )

    async def _create_alert(self, alert_name: str, description: str, 
                           severity: AlertSeverity):
        """Create and store alert."""
        alert_id = f"{alert_name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}"

        alert = Alert(
            alert_id=alert_id,
            name=alert_name,
            description=description,
            severity=severity,
            triggered_at=datetime.now()
        )

        self.active_alerts[alert_id] = alert
        await self._send_notification(alert)

    async def _send_notification(self, alert: Alert):
        """Send alert notification (implement based on your needs)."""
        print(f"ALERT: {alert.severity.value.upper()} - {alert.description}")