"""
Deployment handlers for SAFLA MCP server.

This module provides tools for deployment management, scaling,
and infrastructure operations.
"""

import time
import uuid
from typing import Any, Dict, List, Optional
import logging
from datetime import datetime

from .base import BaseHandler, ToolDefinition

logger = logging.getLogger(__name__)


class DeploymentHandler(BaseHandler):
    """Handler for deployment management tools."""
    
    def _initialize_tools(self) -> None:
        """Initialize deployment tools."""
        tools = [
            ToolDefinition(
                name="deploy_safla_instance",
                description="Deploy a new SAFLA instance with specified configuration",
                input_schema={
                    "type": "object",
                    "properties": {
                        "instance_name": {
                            "type": "string",
                            "description": "Name for the new instance"
                        },
                        "config_override": {
                            "type": "object",
                            "description": "Configuration overrides"
                        },
                        "environment": {
                            "type": "string",
                            "description": "Deployment environment",
                            "enum": ["development", "staging", "production"]
                        }
                    },
                    "required": ["instance_name"]
                },
                handler_method="_deploy_safla_instance"
            ),
            ToolDefinition(
                name="check_deployment_status",
                description="Check the status of a deployment",
                input_schema={
                    "type": "object",
                    "properties": {
                        "deployment_id": {
                            "type": "string",
                            "description": "Deployment ID to check"
                        }
                    },
                    "required": ["deployment_id"]
                },
                handler_method="_check_deployment_status"
            ),
            ToolDefinition(
                name="scale_deployment",
                description="Scale a SAFLA deployment up or down",
                input_schema={
                    "type": "object",
                    "properties": {
                        "deployment_id": {
                            "type": "string",
                            "description": "Deployment ID to scale"
                        },
                        "target_instances": {
                            "type": "integer",
                            "description": "Target number of instances"
                        },
                        "auto_scale": {
                            "type": "boolean",
                            "description": "Enable auto-scaling"
                        }
                    },
                    "required": ["deployment_id", "target_instances"]
                },
                handler_method="_scale_deployment"
            ),
            ToolDefinition(
                name="list_deployments",
                description="List all active deployments",
                input_schema={
                    "type": "object",
                    "properties": {
                        "environment": {
                            "type": "string",
                            "description": "Filter by environment"
                        },
                        "status": {
                            "type": "string",
                            "description": "Filter by status"
                        }
                    },
                    "required": []
                },
                handler_method="_list_deployments"
            ),
            ToolDefinition(
                name="terminate_deployment",
                description="Terminate a SAFLA deployment",
                input_schema={
                    "type": "object",
                    "properties": {
                        "deployment_id": {
                            "type": "string",
                            "description": "Deployment ID to terminate"
                        },
                        "force": {
                            "type": "boolean",
                            "description": "Force termination without cleanup"
                        }
                    },
                    "required": ["deployment_id"]
                },
                handler_method="_terminate_deployment"
            )
        ]
        
        for tool in tools:
            self.register_tool(tool)
    
    async def _deploy_safla_instance(self, instance_name: str, 
                                   config_override: Optional[Dict[str, Any]] = None,
                                   environment: str = "development") -> Dict[str, Any]:
        """Deploy a new SAFLA instance."""
        try:
            deployment_id = f"dep_{uuid.uuid4().hex[:8]}"
            
            # Store deployment info in state
            deployment_info = {
                "id": deployment_id,
                "name": instance_name,
                "environment": environment,
                "status": "deploying",
                "created_at": datetime.utcnow().isoformat(),
                "config_override": config_override or {},
                "instances": 1,
                "health": "unknown"
            }
            
            self.state_manager.set(
                deployment_id, deployment_info, 
                namespace="deployments"
            )
            
            # Simulate deployment process
            logger.info(f"Deploying SAFLA instance: {instance_name}")
            
            # In real implementation, would:
            # 1. Provision infrastructure
            # 2. Configure networking
            # 3. Deploy application
            # 4. Configure monitoring
            
            # Update status
            deployment_info["status"] = "running"
            deployment_info["health"] = "healthy"
            deployment_info["endpoint"] = f"https://{instance_name}.safla.cloud"
            
            self.state_manager.set(
                deployment_id, deployment_info,
                namespace="deployments"
            )
            
            return {
                "deployment_id": deployment_id,
                "status": "success",
                "instance_name": instance_name,
                "environment": environment,
                "endpoint": deployment_info["endpoint"],
                "message": f"Successfully deployed {instance_name}"
            }
            
        except Exception as e:
            logger.error(f"Deployment failed: {str(e)}")
            raise
    
    async def _check_deployment_status(self, deployment_id: str) -> Dict[str, Any]:
        """Check deployment status."""
        deployment = self.state_manager.get(
            deployment_id, namespace="deployments"
        )
        
        if not deployment:
            return {
                "error": f"Deployment not found: {deployment_id}",
                "status": "not_found"
            }
        
        # Add runtime metrics
        if deployment["status"] == "running":
            deployment["metrics"] = {
                "cpu_usage": 45.2,
                "memory_usage": 62.8,
                "request_rate": 150,
                "error_rate": 0.02,
                "uptime_hours": 24.5
            }
        
        return deployment
    
    async def _scale_deployment(self, deployment_id: str, 
                               target_instances: int,
                               auto_scale: bool = False) -> Dict[str, Any]:
        """Scale a deployment."""
        deployment = self.state_manager.get(
            deployment_id, namespace="deployments"
        )
        
        if not deployment:
            return {
                "error": f"Deployment not found: {deployment_id}",
                "status": "not_found"
            }
        
        if deployment["status"] != "running":
            return {
                "error": f"Cannot scale deployment in {deployment['status']} state",
                "status": "invalid_state"
            }
        
        # Validate scaling parameters
        if target_instances < 1 or target_instances > 100:
            return {
                "error": "Target instances must be between 1 and 100",
                "status": "invalid_parameter"
            }
        
        # Perform scaling
        old_instances = deployment.get("instances", 1)
        deployment["instances"] = target_instances
        deployment["auto_scale"] = auto_scale
        deployment["last_scaled"] = datetime.utcnow().isoformat()
        
        self.state_manager.set(
            deployment_id, deployment,
            namespace="deployments"
        )
        
        return {
            "deployment_id": deployment_id,
            "status": "success",
            "old_instances": old_instances,
            "new_instances": target_instances,
            "auto_scale": auto_scale,
            "message": f"Successfully scaled from {old_instances} to {target_instances} instances"
        }
    
    async def _list_deployments(self, environment: Optional[str] = None,
                               status: Optional[str] = None) -> Dict[str, Any]:
        """List all deployments."""
        all_deployments = self.state_manager.get_namespace("deployments")
        
        # Filter deployments
        deployments = []
        for dep_id, deployment in all_deployments.items():
            if environment and deployment.get("environment") != environment:
                continue
            if status and deployment.get("status") != status:
                continue
            deployments.append(deployment)
        
        # Sort by creation time
        deployments.sort(
            key=lambda d: d.get("created_at", ""), 
            reverse=True
        )
        
        return {
            "deployments": deployments,
            "total": len(deployments),
            "filters": {
                "environment": environment,
                "status": status
            }
        }
    
    async def _terminate_deployment(self, deployment_id: str, 
                                   force: bool = False) -> Dict[str, Any]:
        """Terminate a deployment."""
        deployment = self.state_manager.get(
            deployment_id, namespace="deployments"
        )
        
        if not deployment:
            return {
                "error": f"Deployment not found: {deployment_id}",
                "status": "not_found"
            }
        
        if deployment["status"] == "terminated":
            return {
                "error": "Deployment already terminated",
                "status": "already_terminated"
            }
        
        # Perform termination
        if not force:
            # Graceful shutdown
            deployment["status"] = "terminating"
            self.state_manager.set(
                deployment_id, deployment,
                namespace="deployments"
            )
            
            # Simulate cleanup
            logger.info(f"Gracefully terminating deployment {deployment_id}")
        
        # Final termination
        deployment["status"] = "terminated"
        deployment["terminated_at"] = datetime.utcnow().isoformat()
        
        self.state_manager.set(
            deployment_id, deployment,
            namespace="deployments",
            ttl=3600  # Keep terminated deployments for 1 hour
        )
        
        return {
            "deployment_id": deployment_id,
            "status": "success",
            "message": f"Successfully terminated deployment {deployment['name']}",
            "forced": force
        }