"""Deployment tool handlers for SAFLA MCP Server"""

import asyncio
import time
import uuid
from typing import Dict, Any, Optional
from pathlib import Path
from safla.mcp.handler_registry import register_handler
from safla.validation import DeployRequest, validate_path
import logging

logger = logging.getLogger(__name__)

# Simulated deployment state
_deployment_state = {}


@register_handler(
    "deploy_safla_instance",
    description="Deploy a new SAFLA instance with specified configuration",
    category="deployment",
    requires_auth=True,
    input_schema={
        "type": "object",
        "properties": {
            "instance_count": {"type": "integer", "minimum": 1, "maximum": 100},
            "deployment_mode": {"type": "string", "enum": ["local", "cloud", "hybrid"]},
            "config_path": {"type": "string"}
        },
        "required": ["deployment_mode"]
    }
)
async def deploy_safla_instance_handler(args: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
    """Deploy SAFLA instance"""
    try:
        # Validate deployment request
        deploy_request = DeployRequest(**args)
        
        deployment_id = f"deploy_{uuid.uuid4().hex[:8]}"
        
        # Simulate deployment process
        deployment_info = {
            "deployment_id": deployment_id,
            "instance_count": deploy_request.instance_count,
            "deployment_mode": deploy_request.deployment_mode,
            "config_path": deploy_request.config_path,
            "status": "deploying",
            "instances": [],
            "start_time": time.time()
        }
        
        # Create instances
        for i in range(deploy_request.instance_count):
            instance = {
                "instance_id": f"safla_{deployment_id}_{i}",
                "status": "initializing",
                "endpoint": f"http://localhost:{8000 + i}",
                "health_check": "/health",
                "metrics_endpoint": "/metrics"
            }
            deployment_info["instances"].append(instance)
        
        # Store deployment state
        _deployment_state[deployment_id] = deployment_info
        
        # Simulate async deployment
        asyncio.create_task(_simulate_deployment(deployment_id))
        
        return {
            "deployment_id": deployment_id,
            "status": "deploying",
            "instances": deployment_info["instances"],
            "estimated_time_seconds": 30 * deploy_request.instance_count
        }
    except Exception as e:
        return {"error": str(e), "status": "failed"}


@register_handler(
    "check_deployment_status",
    description="Check the status of a SAFLA deployment",
    category="deployment",
    requires_auth=True,
    input_schema={
        "type": "object",
        "properties": {
            "deployment_id": {"type": "string"}
        },
        "required": ["deployment_id"]
    }
)
async def check_deployment_status_handler(args: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
    """Check deployment status"""
    try:
        deployment_id = args.get("deployment_id")
        
        if deployment_id not in _deployment_state:
            return {"error": "Deployment not found", "status": "not_found"}
        
        deployment = _deployment_state[deployment_id]
        elapsed_time = time.time() - deployment["start_time"]
        
        return {
            "deployment_id": deployment_id,
            "status": deployment["status"],
            "instances": deployment["instances"],
            "elapsed_time_seconds": elapsed_time,
            "deployment_mode": deployment["deployment_mode"]
        }
    except Exception as e:
        return {"error": str(e), "status": "error"}


@register_handler(
    "scale_deployment",
    description="Scale a SAFLA deployment up or down",
    category="deployment",
    requires_auth=True,
    input_schema={
        "type": "object",
        "properties": {
            "deployment_id": {"type": "string"},
            "action": {"type": "string", "enum": ["scale_up", "scale_down", "auto_scale"]},
            "instance_count": {"type": "integer", "minimum": 0, "maximum": 100}
        },
        "required": ["deployment_id", "action"]
    }
)
async def scale_deployment_handler(args: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
    """Scale deployment"""
    try:
        deployment_id = args.get("deployment_id")
        action = args.get("action")
        instance_count = args.get("instance_count", 1)
        
        if deployment_id not in _deployment_state:
            return {"error": "Deployment not found", "status": "not_found"}
        
        deployment = _deployment_state[deployment_id]
        current_count = len(deployment["instances"])
        
        if action == "scale_up":
            # Add new instances
            for i in range(instance_count):
                instance = {
                    "instance_id": f"safla_{deployment_id}_{current_count + i}",
                    "status": "initializing",
                    "endpoint": f"http://localhost:{8000 + current_count + i}",
                    "health_check": "/health",
                    "metrics_endpoint": "/metrics"
                }
                deployment["instances"].append(instance)
            
            new_count = len(deployment["instances"])
            return {
                "deployment_id": deployment_id,
                "action": action,
                "previous_count": current_count,
                "new_count": new_count,
                "status": "scaling"
            }
            
        elif action == "scale_down":
            # Remove instances
            if instance_count >= current_count:
                deployment["instances"] = []
            else:
                deployment["instances"] = deployment["instances"][:-instance_count]
            
            new_count = len(deployment["instances"])
            return {
                "deployment_id": deployment_id,
                "action": action,
                "previous_count": current_count,
                "new_count": new_count,
                "status": "scaling"
            }
            
        elif action == "auto_scale":
            # Simulate auto-scaling logic
            target_count = min(current_count * 2, 10)  # Double up to max 10
            
            for i in range(target_count - current_count):
                instance = {
                    "instance_id": f"safla_{deployment_id}_{current_count + i}",
                    "status": "initializing",
                    "endpoint": f"http://localhost:{8000 + current_count + i}",
                    "health_check": "/health",
                    "metrics_endpoint": "/metrics"
                }
                deployment["instances"].append(instance)
            
            return {
                "deployment_id": deployment_id,
                "action": action,
                "previous_count": current_count,
                "new_count": len(deployment["instances"]),
                "status": "auto_scaling",
                "scaling_reason": "high_load_detected"
            }
            
        else:
            return {"error": f"Unknown action: {action}"}
            
    except Exception as e:
        return {"error": str(e), "status": "failed"}


async def _simulate_deployment(deployment_id: str):
    """Simulate deployment process"""
    await asyncio.sleep(5)  # Simulate deployment time
    
    if deployment_id in _deployment_state:
        deployment = _deployment_state[deployment_id]
        
        # Update instance statuses
        for instance in deployment["instances"]:
            instance["status"] = "running"
        
        deployment["status"] = "deployed"
        logger.info(f"Deployment {deployment_id} completed")