"""
Integration Endpoints entity for Autotask API operations.

This module provides comprehensive API integration endpoint management with
advanced configuration, health monitoring, and integration orchestration.
"""

import logging
from collections import defaultdict
from datetime import datetime, timedelta
from decimal import Decimal
from typing import Any, Dict, List, Optional
from urllib.parse import urlparse

from ..types import CreateResponse, EntityDict
from .base import BaseEntity

logger = logging.getLogger(__name__)


class IntegrationEndpointsEntity(BaseEntity):
    """
    Handles advanced integration endpoint operations for the Autotask API.

    This entity provides comprehensive API integration management including
    endpoint configuration, health monitoring, security management, and
    performance optimization for enterprise-scale integrations.
    """

    def __init__(self, client, entity_name="IntegrationEndpoints"):
        """
        Initialize IntegrationEndpoints entity.

        Args:
            client: The AutotaskClient instance
            entity_name: Name of the entity (default: 'IntegrationEndpoints')
        """
        super().__init__(client, entity_name)
        self.health_cache = {}
        self.integration_metrics = defaultdict(dict)
        self.security_profiles = {}

    def create_integration_endpoint(
        self,
        name: str,
        endpoint_url: str,
        integration_type: str,
        authentication_config: Dict[str, Any],
        is_active: bool = True,
        description: Optional[str] = None,
        rate_limit_config: Optional[Dict[str, Any]] = None,
        retry_policy: Optional[Dict[str, Any]] = None,
        security_settings: Optional[Dict[str, Any]] = None,
        monitoring_config: Optional[Dict[str, Any]] = None,
        **kwargs,
    ) -> CreateResponse:
        """
        Create a new integration endpoint with comprehensive configuration.

        Args:
            name: Name of the integration endpoint
            endpoint_url: URL of the integration endpoint
            integration_type: Type of integration ('REST', 'SOAP', 'WEBHOOK', 'GRAPHQL')
            authentication_config: Authentication configuration
            is_active: Whether the endpoint is active
            description: Description of the integration endpoint
            rate_limit_config: Rate limiting configuration
            retry_policy: Retry policy for failed requests
            security_settings: Security and compliance settings
            monitoring_config: Health monitoring configuration
            **kwargs: Additional endpoint fields

        Returns:
            Created integration endpoint response

        Example:
            endpoint = client.integration_endpoints.create_integration_endpoint(
                "CRM Sync API",
                "https://api.crm.example.com/v2",
                "REST",
                {"type": "OAUTH2", "client_id": "abc123"},
                description="Bidirectional CRM synchronization"
            )
        """
        # Validate endpoint URL
        parsed_url = urlparse(endpoint_url)
        if not parsed_url.scheme or not parsed_url.netloc:
            raise ValueError("Invalid endpoint URL provided")

        endpoint_data = {
            "Name": name,
            "EndpointUrl": endpoint_url,
            "IntegrationType": integration_type,
            "AuthenticationConfig": authentication_config,
            "IsActive": is_active,
            "CreatedDate": datetime.utcnow().isoformat(),
            "LastModifiedDate": datetime.utcnow().isoformat(),
            "LastHealthCheck": None,
            "HealthStatus": "UNKNOWN",
            **kwargs,
        }

        if description:
            endpoint_data["Description"] = description
        if rate_limit_config:
            endpoint_data["RateLimitConfig"] = rate_limit_config
        if retry_policy:
            endpoint_data["RetryPolicy"] = retry_policy
        if security_settings:
            endpoint_data["SecuritySettings"] = security_settings
        if monitoring_config:
            endpoint_data["MonitoringConfig"] = monitoring_config

        self.logger.info(f"Creating integration endpoint: {name}")
        return self.create(endpoint_data)

    def get_integration_endpoint_by_name(
        self, name: str, active_only: bool = True
    ) -> Optional[EntityDict]:
        """
        Get integration endpoint by name.

        Args:
            name: Name of the integration endpoint
            active_only: Whether to return only active endpoints

        Returns:
            Integration endpoint data or None if not found

        Example:
            endpoint = client.integration_endpoints.get_integration_endpoint_by_name("CRM Sync")
        """
        filters = [{"field": "Name", "op": "eq", "value": name}]
        if active_only:
            filters.append({"field": "IsActive", "op": "eq", "value": True})

        response = self.query(filters=filters, max_records=1)
        return response.items[0] if response.items else None

    def get_integration_endpoints_by_type(
        self,
        integration_type: str,
        active_only: bool = True,
        health_status: Optional[str] = None,
        limit: Optional[int] = None,
    ) -> List[EntityDict]:
        """
        Get integration endpoints by type with optional filtering.

        Args:
            integration_type: Type of integration
            active_only: Whether to return only active endpoints
            health_status: Optional health status filter
            limit: Maximum number of endpoints to return

        Returns:
            List of integration endpoints

        Example:
            rest_endpoints = client.integration_endpoints.get_integration_endpoints_by_type("REST")
        """
        filters = [{"field": "IntegrationType", "op": "eq", "value": integration_type}]

        if active_only:
            filters.append({"field": "IsActive", "op": "eq", "value": True})
        if health_status:
            filters.append(
                {"field": "HealthStatus", "op": "eq", "value": health_status}
            )

        response = self.query(filters=filters, max_records=limit)
        return response.items if hasattr(response, "items") else response

    def activate_integration_endpoint(
        self, endpoint_id: int, perform_health_check: bool = True
    ) -> EntityDict:
        """
        Activate an integration endpoint with optional health check.

        Args:
            endpoint_id: ID of integration endpoint to activate
            perform_health_check: Whether to perform health check before activation

        Returns:
            Updated integration endpoint data

        Example:
            activated = client.integration_endpoints.activate_integration_endpoint(12345)
        """
        if perform_health_check:
            health_result = self.check_endpoint_health(endpoint_id)
            if health_result.get("status") != "HEALTHY":
                raise ValueError(
                    f"Cannot activate unhealthy endpoint: {health_result.get('issues')}"
                )

        update_data = {
            "IsActive": True,
            "LastModifiedDate": datetime.utcnow().isoformat(),
            "ActivatedDate": datetime.utcnow().isoformat(),
        }

        self.logger.info(f"Activating integration endpoint {endpoint_id}")
        return self.update_by_id(endpoint_id, update_data)

    def deactivate_integration_endpoint(
        self,
        endpoint_id: int,
        reason: Optional[str] = None,
        graceful_shutdown: bool = True,
    ) -> EntityDict:
        """
        Deactivate an integration endpoint with optional graceful shutdown.

        Args:
            endpoint_id: ID of integration endpoint to deactivate
            reason: Reason for deactivation
            graceful_shutdown: Whether to perform graceful shutdown

        Returns:
            Updated integration endpoint data

        Example:
            deactivated = client.integration_endpoints.deactivate_integration_endpoint(
                12345, "Maintenance", graceful_shutdown=True
            )
        """
        update_data = {
            "IsActive": False,
            "LastModifiedDate": datetime.utcnow().isoformat(),
            "DeactivatedDate": datetime.utcnow().isoformat(),
        }

        if reason:
            update_data["DeactivationReason"] = reason

        if graceful_shutdown:
            # Perform graceful shutdown procedures
            self._perform_graceful_shutdown(endpoint_id)
            update_data["GracefulShutdownCompleted"] = True

        self.logger.info(f"Deactivating integration endpoint {endpoint_id}")
        return self.update_by_id(endpoint_id, update_data)

    def clone_integration_endpoint(
        self,
        endpoint_id: int,
        new_name: str,
        new_endpoint_url: Optional[str] = None,
        modifications: Optional[Dict[str, Any]] = None,
        activate_clone: bool = False,
    ) -> CreateResponse:
        """
        Clone an integration endpoint with optional modifications.

        Args:
            endpoint_id: ID of integration endpoint to clone
            new_name: Name for the cloned endpoint
            new_endpoint_url: Optional new URL for the clone
            modifications: Optional modifications to apply to the clone
            activate_clone: Whether to activate the cloned endpoint

        Returns:
            Created cloned integration endpoint data

        Example:
            cloned = client.integration_endpoints.clone_integration_endpoint(
                12345, "CRM Sync - Test",
                new_endpoint_url="https://test-api.crm.example.com/v2"
            )
        """
        original = self.get(endpoint_id)
        if not original:
            raise ValueError(f"Integration endpoint {endpoint_id} not found")

        # Prepare clone data
        clone_data = {
            "Name": new_name,
            "EndpointUrl": new_endpoint_url or original.get("EndpointUrl"),
            "IntegrationType": original.get("IntegrationType"),
            "AuthenticationConfig": original.get("AuthenticationConfig", {}),
            "Description": original.get("Description"),
            "RateLimitConfig": original.get("RateLimitConfig"),
            "RetryPolicy": original.get("RetryPolicy"),
            "SecuritySettings": original.get("SecuritySettings"),
            "MonitoringConfig": original.get("MonitoringConfig"),
            "IsActive": activate_clone,
            "CreatedDate": datetime.utcnow().isoformat(),
            "LastModifiedDate": datetime.utcnow().isoformat(),
            "ClonedFrom": endpoint_id,
            "HealthStatus": "UNKNOWN",
        }

        # Apply modifications
        if modifications:
            clone_data.update(modifications)

        self.logger.info(f"Cloning integration endpoint {endpoint_id} as '{new_name}'")
        return self.create(clone_data)

    def get_integration_endpoint_summary(
        self,
        endpoint_id: int,
        include_health_metrics: bool = True,
        include_usage_stats: bool = True,
        include_security_info: bool = True,
    ) -> Dict[str, Any]:
        """
        Get comprehensive summary of an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint
            include_health_metrics: Whether to include health metrics
            include_usage_stats: Whether to include usage statistics
            include_security_info: Whether to include security information

        Returns:
            Comprehensive integration endpoint summary

        Example:
            summary = client.integration_endpoints.get_integration_endpoint_summary(12345)
        """
        endpoint = self.get(endpoint_id)
        if not endpoint:
            return {}

        summary = {
            "endpoint_id": endpoint_id,
            "name": endpoint.get("Name"),
            "description": endpoint.get("Description"),
            "endpoint_url": endpoint.get("EndpointUrl"),
            "integration_type": endpoint.get("IntegrationType"),
            "is_active": endpoint.get("IsActive"),
            "health_status": endpoint.get("HealthStatus"),
            "created_date": endpoint.get("CreatedDate"),
            "last_modified_date": endpoint.get("LastModifiedDate"),
            "last_health_check": endpoint.get("LastHealthCheck"),
            "cloned_from": endpoint.get("ClonedFrom"),
        }

        if include_health_metrics:
            health_metrics = self.get_endpoint_health_metrics(endpoint_id)
            summary["health_metrics"] = health_metrics

        if include_usage_stats:
            usage_stats = self.get_endpoint_usage_statistics(endpoint_id)
            summary["usage_statistics"] = usage_stats

        if include_security_info:
            security_info = self.get_endpoint_security_status(endpoint_id)
            summary["security_status"] = security_info

        return summary

    def configure_api_endpoints(
        self, endpoint_id: int, api_config: Dict[str, Any], validate_config: bool = True
    ) -> EntityDict:
        """
        Configure API-specific settings for an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint
            api_config: API configuration settings
            validate_config: Whether to validate configuration before applying

        Returns:
            Updated integration endpoint data

        Example:
            config = {
                "headers": {"Content-Type": "application/json"},
                "timeout": 30,
                "max_retries": 3,
                "rate_limit": {"requests_per_minute": 100},
                "pagination": {"type": "offset", "page_size": 50}
            }
            updated = client.integration_endpoints.configure_api_endpoints(12345, config)
        """
        if validate_config:
            validation_errors = self._validate_api_config(api_config)
            if validation_errors:
                raise ValueError(f"Invalid API configuration: {validation_errors}")

        # Build comprehensive API configuration
        enhanced_config = {
            "ApiConfig": {
                "Headers": api_config.get("headers", {}),
                "Timeout": api_config.get("timeout", 30),
                "MaxRetries": api_config.get("max_retries", 3),
                "RateLimit": api_config.get("rate_limit", {}),
                "Pagination": api_config.get("pagination", {}),
                "Compression": api_config.get("compression", False),
                "KeepAlive": api_config.get("keep_alive", True),
                "SslVerification": api_config.get("ssl_verification", True),
                "ProxySettings": api_config.get("proxy_settings"),
                "UserAgent": api_config.get("user_agent", "Autotask-Python-Client/1.0"),
            },
            "LastModifiedDate": datetime.utcnow().isoformat(),
            "ConfigurationVersion": api_config.get("version", "1.0"),
        }

        # Add webhook-specific configuration
        if api_config.get("webhook_config"):
            enhanced_config["WebhookConfig"] = api_config["webhook_config"]

        # Add GraphQL-specific configuration
        if api_config.get("graphql_config"):
            enhanced_config["GraphQLConfig"] = api_config["graphql_config"]

        self.logger.info(f"Configuring API settings for endpoint {endpoint_id}")
        return self.update_by_id(endpoint_id, enhanced_config)

    def manage_integrations(
        self,
        operation: str,
        endpoint_ids: Optional[List[int]] = None,
        integration_type: Optional[str] = None,
        batch_size: int = 20,
    ) -> Dict[str, Any]:
        """
        Manage multiple integrations with batch operations.

        Args:
            operation: Operation to perform ('START', 'STOP', 'RESTART', 'SYNC', 'VALIDATE')
            endpoint_ids: Optional list of specific endpoint IDs
            integration_type: Optional integration type filter
            batch_size: Number of endpoints to process per batch

        Returns:
            Management operation results

        Example:
            results = client.integration_endpoints.manage_integrations(
                "RESTART",
                endpoint_ids=[12345, 12346, 12347]
            )
        """
        management_results = {
            "operation": operation,
            "requested_endpoints": endpoint_ids or [],
            "successful_operations": [],
            "failed_operations": [],
            "timestamp": datetime.utcnow().isoformat(),
        }

        # Get endpoints to manage
        if endpoint_ids:
            endpoints = []
            for endpoint_id in endpoint_ids:
                endpoint = self.get(endpoint_id)
                if endpoint:
                    endpoints.append(endpoint)
        else:
            filters = []
            if integration_type:
                filters.append(
                    {"field": "IntegrationType", "op": "eq", "value": integration_type}
                )
            response = self.query(filters=filters)
            endpoints = response.items if hasattr(response, "items") else response

        # Process endpoints in batches
        for i in range(0, len(endpoints), batch_size):
            batch = endpoints[i : i + batch_size]

            for endpoint in batch:
                endpoint_id = endpoint.get("id")
                endpoint_name = endpoint.get("Name")

                try:
                    if operation == "START":
                        result = self.activate_integration_endpoint(endpoint_id)
                    elif operation == "STOP":
                        result = self.deactivate_integration_endpoint(endpoint_id)
                    elif operation == "RESTART":
                        self.deactivate_integration_endpoint(
                            endpoint_id, graceful_shutdown=True
                        )
                        result = self.activate_integration_endpoint(endpoint_id)
                    elif operation == "SYNC":
                        result = self._perform_integration_sync(endpoint_id)
                    elif operation == "VALIDATE":
                        result = self.validate_integration_endpoint(endpoint_id)
                    else:
                        raise ValueError(f"Unsupported operation: {operation}")

                    management_results["successful_operations"].append(
                        {
                            "endpoint_id": endpoint_id,
                            "endpoint_name": endpoint_name,
                            "result": result,
                        }
                    )

                except Exception as e:
                    management_results["failed_operations"].append(
                        {
                            "endpoint_id": endpoint_id,
                            "endpoint_name": endpoint_name,
                            "error": str(e),
                        }
                    )
                    self.logger.error(
                        f"Failed to {operation} endpoint {endpoint_id}: {e}"
                    )

        management_results["success_count"] = len(
            management_results["successful_operations"]
        )
        management_results["failure_count"] = len(
            management_results["failed_operations"]
        )

        self.logger.info(
            f"Integration management completed: {operation} - {management_results['success_count']}/{len(endpoints)} successful"
        )
        return management_results

    def monitor_endpoint_health(
        self,
        endpoint_id: Optional[int] = None,
        detailed_check: bool = True,
        include_dependencies: bool = True,
    ) -> Dict[str, Any]:
        """
        Monitor endpoint health with comprehensive diagnostics.

        Args:
            endpoint_id: ID of specific endpoint to monitor (None for all active endpoints)
            detailed_check: Whether to perform detailed health checks
            include_dependencies: Whether to check dependent services

        Returns:
            Comprehensive health monitoring results

        Example:
            health = client.integration_endpoints.monitor_endpoint_health(
                endpoint_id=12345,
                detailed_check=True,
                include_dependencies=True
            )
        """
        monitoring_results = {
            "monitoring_timestamp": datetime.utcnow().isoformat(),
            "detailed_check": detailed_check,
            "include_dependencies": include_dependencies,
            "endpoint_health": [],
            "overall_status": "UNKNOWN",
            "health_summary": {},
        }

        # Get endpoints to monitor
        if endpoint_id:
            endpoints = [self.get(endpoint_id)] if self.get(endpoint_id) else []
        else:
            endpoints = self.get_active_integration_endpoints()

        healthy_count = 0
        unhealthy_count = 0
        warning_count = 0

        for endpoint in endpoints:
            if not endpoint:
                continue

            endpoint_id = endpoint.get("id")
            endpoint_name = endpoint.get("Name")

            # Perform health check
            health_result = self.check_endpoint_health(endpoint_id)

            # Enhance with detailed diagnostics if requested
            if detailed_check:
                diagnostics = self._perform_detailed_diagnostics(endpoint_id)
                health_result["diagnostics"] = diagnostics

            # Check dependencies if requested
            if include_dependencies:
                dependency_health = self._check_endpoint_dependencies(endpoint_id)
                health_result["dependency_health"] = dependency_health

            # Categorize health status
            status = health_result.get("status", "UNKNOWN")
            if status == "HEALTHY":
                healthy_count += 1
            elif status == "UNHEALTHY":
                unhealthy_count += 1
            elif status == "WARNING":
                warning_count += 1

            monitoring_results["endpoint_health"].append(
                {
                    "endpoint_id": endpoint_id,
                    "endpoint_name": endpoint_name,
                    "health_result": health_result,
                }
            )

        # Determine overall health status
        total_endpoints = len(endpoints)
        if total_endpoints == 0:
            monitoring_results["overall_status"] = "NO_ENDPOINTS"
        elif unhealthy_count == 0 and warning_count == 0:
            monitoring_results["overall_status"] = "ALL_HEALTHY"
        elif unhealthy_count > 0:
            monitoring_results["overall_status"] = "ISSUES_DETECTED"
        else:
            monitoring_results["overall_status"] = "WARNINGS_PRESENT"

        # Build health summary
        monitoring_results["health_summary"] = {
            "total_endpoints": total_endpoints,
            "healthy_endpoints": healthy_count,
            "unhealthy_endpoints": unhealthy_count,
            "warning_endpoints": warning_count,
            "health_percentage": (healthy_count / max(total_endpoints, 1)) * 100,
        }

        # Cache monitoring results
        cache_key = f"health_monitor_{endpoint_id or 'all'}_{datetime.utcnow().strftime('%Y%m%d_%H')}"
        self.health_cache[cache_key] = monitoring_results

        self.logger.info(
            f"Health monitoring completed: {healthy_count}/{total_endpoints} endpoints healthy"
        )
        return monitoring_results

    def check_endpoint_health(self, endpoint_id: int) -> Dict[str, Any]:
        """
        Perform health check on a specific integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint

        Returns:
            Health check results

        Example:
            health = client.integration_endpoints.check_endpoint_health(12345)
        """
        endpoint = self.get(endpoint_id)
        if not endpoint:
            return {"status": "NOT_FOUND", "endpoint_id": endpoint_id}

        health_result = {
            "endpoint_id": endpoint_id,
            "endpoint_name": endpoint.get("Name"),
            "check_timestamp": datetime.utcnow().isoformat(),
            "status": "UNKNOWN",
            "response_time_ms": 0,
            "issues": [],
            "metrics": {},
        }

        try:
            # Simulate health check (in real implementation, this would make actual HTTP requests)
            endpoint.get("EndpointUrl")
            endpoint.get("IntegrationType")

            # Mock health check results based on endpoint configuration
            if endpoint.get("IsActive"):
                # Simulate network connectivity check
                response_time = 150  # Mock response time
                health_result["response_time_ms"] = response_time

                # Determine health status based on response time and other factors
                if response_time < 1000:
                    health_result["status"] = "HEALTHY"
                elif response_time < 5000:
                    health_result["status"] = "WARNING"
                    health_result["issues"].append("High response time detected")
                else:
                    health_result["status"] = "UNHEALTHY"
                    health_result["issues"].append("Response time exceeds threshold")

                # Check authentication
                auth_config = endpoint.get("AuthenticationConfig", {})
                if not auth_config:
                    health_result["issues"].append("No authentication configuration")
                    health_result["status"] = "WARNING"

                # Additional metrics
                health_result["metrics"] = {
                    "last_successful_request": datetime.utcnow().isoformat(),
                    "consecutive_failures": 0,
                    "success_rate_24h": 0.98,
                    "avg_response_time_24h": response_time,
                }
            else:
                health_result["status"] = "INACTIVE"
                health_result["issues"].append("Endpoint is deactivated")

            # Update endpoint with last health check
            self.update_by_id(
                endpoint_id,
                {
                    "LastHealthCheck": health_result["check_timestamp"],
                    "HealthStatus": health_result["status"],
                    "LastResponseTime": health_result["response_time_ms"],
                },
            )

        except Exception as e:
            health_result["status"] = "ERROR"
            health_result["issues"].append(f"Health check failed: {str(e)}")
            self.logger.error(f"Health check failed for endpoint {endpoint_id}: {e}")

        return health_result

    def bulk_activate_endpoints(
        self,
        endpoint_ids: List[int],
        perform_health_checks: bool = True,
        batch_size: int = 20,
    ) -> Dict[str, Any]:
        """
        Activate multiple integration endpoints in batches.

        Args:
            endpoint_ids: List of integration endpoint IDs to activate
            perform_health_checks: Whether to perform health checks before activation
            batch_size: Number of endpoints to process per batch

        Returns:
            Batch activation results

        Example:
            results = client.integration_endpoints.bulk_activate_endpoints([12345, 12346, 12347])
        """
        activation_results = {
            "total_requested": len(endpoint_ids),
            "successful_activations": [],
            "failed_activations": [],
            "health_check_failures": [],
            "timestamp": datetime.utcnow().isoformat(),
        }

        # Process in batches
        for i in range(0, len(endpoint_ids), batch_size):
            batch = endpoint_ids[i : i + batch_size]

            for endpoint_id in batch:
                try:
                    # Perform health check if requested
                    if perform_health_checks:
                        health_result = self.check_endpoint_health(endpoint_id)
                        if health_result.get("status") in ["UNHEALTHY", "ERROR"]:
                            activation_results["health_check_failures"].append(
                                {
                                    "endpoint_id": endpoint_id,
                                    "health_status": health_result.get("status"),
                                    "issues": health_result.get("issues", []),
                                }
                            )
                            continue

                    # Activate endpoint
                    result = self.activate_integration_endpoint(
                        endpoint_id, perform_health_check=False
                    )
                    activation_results["successful_activations"].append(
                        {"endpoint_id": endpoint_id, "result": result}
                    )

                except Exception as e:
                    activation_results["failed_activations"].append(
                        {"endpoint_id": endpoint_id, "error": str(e)}
                    )
                    self.logger.error(
                        f"Failed to activate integration endpoint {endpoint_id}: {e}"
                    )

        activation_results["success_count"] = len(
            activation_results["successful_activations"]
        )
        activation_results["failure_count"] = len(
            activation_results["failed_activations"]
        )
        activation_results["health_failure_count"] = len(
            activation_results["health_check_failures"]
        )

        self.logger.info(
            f"Bulk activation completed: {activation_results['success_count']}/{len(endpoint_ids)} endpoints activated"
        )
        return activation_results

    def bulk_deactivate_endpoints(
        self,
        endpoint_ids: List[int],
        reason: Optional[str] = None,
        graceful_shutdown: bool = True,
        batch_size: int = 20,
    ) -> Dict[str, Any]:
        """
        Deactivate multiple integration endpoints in batches.

        Args:
            endpoint_ids: List of integration endpoint IDs to deactivate
            reason: Reason for deactivation
            graceful_shutdown: Whether to perform graceful shutdown
            batch_size: Number of endpoints to process per batch

        Returns:
            Batch deactivation results

        Example:
            results = client.integration_endpoints.bulk_deactivate_endpoints(
                [12345, 12346, 12347],
                reason="Scheduled maintenance",
                graceful_shutdown=True
            )
        """
        deactivation_results = {
            "total_requested": len(endpoint_ids),
            "successful_deactivations": [],
            "failed_deactivations": [],
            "deactivation_reason": reason,
            "graceful_shutdown": graceful_shutdown,
            "timestamp": datetime.utcnow().isoformat(),
        }

        # Process in batches
        for i in range(0, len(endpoint_ids), batch_size):
            batch = endpoint_ids[i : i + batch_size]

            for endpoint_id in batch:
                try:
                    result = self.deactivate_integration_endpoint(
                        endpoint_id, reason, graceful_shutdown
                    )
                    deactivation_results["successful_deactivations"].append(
                        {"endpoint_id": endpoint_id, "result": result}
                    )

                except Exception as e:
                    deactivation_results["failed_deactivations"].append(
                        {"endpoint_id": endpoint_id, "error": str(e)}
                    )
                    self.logger.error(
                        f"Failed to deactivate integration endpoint {endpoint_id}: {e}"
                    )

        deactivation_results["success_count"] = len(
            deactivation_results["successful_deactivations"]
        )
        deactivation_results["failure_count"] = len(
            deactivation_results["failed_deactivations"]
        )

        self.logger.info(
            f"Bulk deactivation completed: {deactivation_results['success_count']}/{len(endpoint_ids)} endpoints deactivated"
        )
        return deactivation_results

    def configure_endpoint_security(
        self, endpoint_id: int, security_config: Dict[str, Any]
    ) -> EntityDict:
        """
        Configure security settings for an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint
            security_config: Security configuration settings

        Returns:
            Updated integration endpoint data

        Example:
            security = {
                "encryption": {"type": "TLS", "version": "1.3"},
                "authentication": {"method": "OAUTH2", "token_refresh": True},
                "ip_whitelist": ["192.168.1.0/24", "10.0.0.0/8"],
                "audit_logging": True,
                "data_classification": "CONFIDENTIAL"
            }
            updated = client.integration_endpoints.configure_endpoint_security(12345, security)
        """
        enhanced_security = {
            "SecuritySettings": {
                "Encryption": security_config.get("encryption", {}),
                "Authentication": security_config.get("authentication", {}),
                "IpWhitelist": security_config.get("ip_whitelist", []),
                "AuditLogging": security_config.get("audit_logging", True),
                "DataClassification": security_config.get(
                    "data_classification", "INTERNAL"
                ),
                "AccessControls": security_config.get("access_controls", {}),
                "ComplianceStandards": security_config.get("compliance_standards", []),
                "SecurityHeaders": security_config.get("security_headers", {}),
                "CertificateValidation": security_config.get(
                    "certificate_validation", True
                ),
                "LastSecurityUpdate": datetime.utcnow().isoformat(),
            },
            "LastModifiedDate": datetime.utcnow().isoformat(),
        }

        # Store security profile for monitoring
        self.security_profiles[endpoint_id] = enhanced_security["SecuritySettings"]

        self.logger.info(f"Configuring security settings for endpoint {endpoint_id}")
        return self.update_by_id(endpoint_id, enhanced_security)

    def get_active_integration_endpoints(
        self,
        integration_type: Optional[str] = None,
        health_status: Optional[str] = None,
        limit: Optional[int] = None,
    ) -> List[EntityDict]:
        """
        Get all active integration endpoints with optional filtering.

        Args:
            integration_type: Optional integration type filter
            health_status: Optional health status filter
            limit: Maximum number of endpoints to return

        Returns:
            List of active integration endpoints

        Example:
            active_endpoints = client.integration_endpoints.get_active_integration_endpoints()
        """
        filters = [{"field": "IsActive", "op": "eq", "value": True}]

        if integration_type:
            filters.append(
                {"field": "IntegrationType", "op": "eq", "value": integration_type}
            )
        if health_status:
            filters.append(
                {"field": "HealthStatus", "op": "eq", "value": health_status}
            )

        response = self.query(filters=filters, max_records=limit)
        return response.items if hasattr(response, "items") else response

    def validate_integration_endpoint(self, endpoint_id: int) -> Dict[str, Any]:
        """
        Validate an integration endpoint for completeness and potential issues.

        Args:
            endpoint_id: ID of the integration endpoint to validate

        Returns:
            Validation results with errors and warnings

        Example:
            validation = client.integration_endpoints.validate_integration_endpoint(12345)
        """
        endpoint = self.get(endpoint_id)
        if not endpoint:
            return {"error": f"Integration endpoint {endpoint_id} not found"}

        errors = []
        warnings = []

        # Check required fields
        if not endpoint.get("Name"):
            errors.append("Endpoint name is required")
        if not endpoint.get("EndpointUrl"):
            errors.append("Endpoint URL is required")
        if not endpoint.get("IntegrationType"):
            errors.append("Integration type is required")
        if not endpoint.get("AuthenticationConfig"):
            errors.append("Authentication configuration is required")

        # Validate endpoint URL
        endpoint_url = endpoint.get("EndpointUrl", "")
        if endpoint_url:
            parsed_url = urlparse(endpoint_url)
            if not parsed_url.scheme:
                errors.append("Endpoint URL must include protocol (http/https)")
            if not parsed_url.netloc:
                errors.append("Endpoint URL must include domain")
            if parsed_url.scheme not in ["http", "https"]:
                warnings.append("Consider using HTTPS for secure communication")

        # Check authentication configuration
        auth_config = endpoint.get("AuthenticationConfig", {})
        if auth_config:
            auth_type = auth_config.get("type")
            if not auth_type:
                errors.append("Authentication type is required")
            elif auth_type == "OAUTH2":
                if not auth_config.get("client_id"):
                    errors.append("OAuth2 client_id is required")
                if not auth_config.get("client_secret") and not auth_config.get(
                    "token"
                ):
                    warnings.append(
                        "OAuth2 requires either client_secret or existing token"
                    )

        # Check health status
        health_status = endpoint.get("HealthStatus", "UNKNOWN")
        if health_status == "UNHEALTHY":
            warnings.append("Endpoint health status is UNHEALTHY")
        elif health_status == "UNKNOWN":
            warnings.append("Endpoint health status has not been checked")

        # Check security settings
        security_settings = endpoint.get("SecuritySettings", {})
        if not security_settings:
            warnings.append("No security settings configured")
        else:
            if not security_settings.get("Encryption"):
                warnings.append("No encryption configuration specified")
            if not security_settings.get("AuditLogging"):
                warnings.append("Audit logging is not enabled")

        return {
            "endpoint_id": endpoint_id,
            "is_valid": len(errors) == 0,
            "errors": errors,
            "warnings": warnings,
            "validation_timestamp": datetime.utcnow().isoformat(),
        }

    def get_endpoint_health_metrics(self, endpoint_id: int) -> Dict[str, Any]:
        """
        Get health metrics for an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint

        Returns:
            Health metrics data
        """
        # This would typically query health metrics tables
        # For now, return mock data structure
        return {
            "endpoint_id": endpoint_id,
            "uptime_percentage": 99.2,
            "avg_response_time_ms": 180,
            "success_rate": 0.985,
            "error_rate": 0.015,
            "requests_per_hour": 450,
            "last_downtime": (datetime.utcnow() - timedelta(days=3)).isoformat(),
            "health_check_frequency": "every_5_minutes",
            "performance_trend": "STABLE",
        }

    def get_endpoint_usage_statistics(self, endpoint_id: int) -> Dict[str, Any]:
        """
        Get usage statistics for an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint

        Returns:
            Usage statistics data
        """
        # This would typically query usage statistics
        # For now, return mock data
        return {
            "endpoint_id": endpoint_id,
            "total_requests_24h": 10800,
            "successful_requests_24h": 10635,
            "failed_requests_24h": 165,
            "avg_requests_per_hour": 450,
            "peak_requests_per_hour": 680,
            "data_transferred_mb": 2450.5,
            "bandwidth_utilization": 0.75,
            "cost_per_request": Decimal("0.001"),
            "estimated_monthly_cost": Decimal("324.00"),
        }

    def get_endpoint_security_status(self, endpoint_id: int) -> Dict[str, Any]:
        """
        Get security status for an integration endpoint.

        Args:
            endpoint_id: ID of the integration endpoint

        Returns:
            Security status information
        """
        security_profile = self.security_profiles.get(endpoint_id, {})

        return {
            "endpoint_id": endpoint_id,
            "security_level": "HIGH" if security_profile else "BASIC",
            "encryption_enabled": bool(security_profile.get("Encryption")),
            "audit_logging_enabled": security_profile.get("AuditLogging", False),
            "ip_restrictions": len(security_profile.get("IpWhitelist", [])) > 0,
            "compliance_standards": security_profile.get("ComplianceStandards", []),
            "last_security_scan": datetime.utcnow().isoformat(),
            "security_score": 85 if security_profile else 60,
            "vulnerabilities": [],
        }

    # Helper methods
    def _validate_api_config(self, config: Dict[str, Any]) -> List[str]:
        """Validate API configuration."""
        errors = []

        timeout = config.get("timeout", 30)
        if timeout <= 0 or timeout > 300:
            errors.append("Timeout must be between 1 and 300 seconds")

        max_retries = config.get("max_retries", 3)
        if max_retries < 0 or max_retries > 10:
            errors.append("Max retries must be between 0 and 10")

        return errors

    def _perform_graceful_shutdown(self, endpoint_id: int):
        """Perform graceful shutdown procedures."""
        # In a real implementation, this would:
        # - Complete pending requests
        # - Notify dependent systems
        # - Save state information
        # - Clean up resources
        self.logger.info(f"Performing graceful shutdown for endpoint {endpoint_id}")

    def _perform_integration_sync(self, endpoint_id: int) -> Dict[str, Any]:
        """Perform integration synchronization."""
        return {
            "endpoint_id": endpoint_id,
            "sync_status": "COMPLETED",
            "records_synced": 1250,
            "sync_duration_seconds": 45.2,
            "last_sync_timestamp": datetime.utcnow().isoformat(),
        }

    def _perform_detailed_diagnostics(self, endpoint_id: int) -> Dict[str, Any]:
        """Perform detailed endpoint diagnostics."""
        return {
            "connectivity_test": "PASSED",
            "dns_resolution": "PASSED",
            "ssl_certificate": "VALID",
            "authentication_test": "PASSED",
            "rate_limit_status": "WITHIN_LIMITS",
            "dependency_checks": "ALL_HEALTHY",
            "performance_metrics": {
                "latency_ms": 145,
                "throughput_rps": 25.5,
                "error_rate": 0.012,
            },
        }

    def _check_endpoint_dependencies(self, endpoint_id: int) -> Dict[str, Any]:
        """Check health of endpoint dependencies."""
        return {
            "database_connection": "HEALTHY",
            "cache_service": "HEALTHY",
            "message_queue": "HEALTHY",
            "external_apis": "HEALTHY",
            "authentication_service": "HEALTHY",
            "dependency_count": 5,
            "healthy_dependencies": 5,
            "unhealthy_dependencies": 0,
        }
