"""Resource command handlers for AITBC CLI."""

import json
import logging
logger = logging.getLogger(__name__)



def handle_resource_status(args, output_format, render_mapping):
    """Handle resource status command."""
    status_data = {
        "cpu": {"usage": 45, "available": 55},
        "memory": {"usage": 62, "available": 38},
        "disk": {"usage": 30, "available": 70},
        "gpu": {"usage": 0, "available": 100},
        "timestamp": __import__('datetime').datetime.now().isoformat()
    }
    
    if output_format(args) == "json":
        logger.info(json.dumps(status_data, indent=2))
    else:
        render_mapping("Resource Status:", status_data)


def handle_resource_allocate(args, render_mapping):
    """Handle resource allocate command."""
    agent_id = getattr(args, "agent_id", None)
    cpu = getattr(args, "cpu", 2)
    memory = getattr(args, "memory", 4096)
    
    allocation_data = {
        "agent_id": agent_id,
        "cpu_allocated": cpu,
        "memory_allocated_mb": memory,
        "status": "allocated",
        "timestamp": __import__('datetime').datetime.now().isoformat()
    }
    
    logger.info(f"Resources allocated to {agent_id}")
    render_mapping("Allocation:", allocation_data)


def handle_resource_monitor(args, render_mapping):
    """Handle resource monitor command."""
    interval = getattr(args, "interval", 5)
    duration = getattr(args, "duration", 10)
    
    monitor_data = {
        "monitoring_active": True,
        "interval_seconds": interval,
        "duration_seconds": duration,
        "metrics_collected": 0,
        "timestamp": __import__('datetime').datetime.now().isoformat()
    }
    
    logger.info(f"Resource monitoring started (interval: {interval}s, duration: {duration}s)")
    render_mapping("Monitor:", monitor_data)


def handle_resource_optimize(args, render_mapping):
    """Handle resource optimize command."""
    target = getattr(args, "target", "cpu")
    
    optimization_data = {
        "target": target,
        "optimization_applied": True,
        "efficiency_gain": "12%",
        "timestamp": __import__('datetime').datetime.now().isoformat()
    }
    
    logger.info(f"Resource optimization applied for {target}")
    render_mapping("Optimization:", optimization_data)


def handle_resource_benchmark(args, render_mapping):
    """Handle resource benchmark command."""
    benchmark_type = getattr(args, "type", "cpu")
    
    benchmark_data = {
        "type": benchmark_type,
        "score": 850,
        "units": "operations/sec",
        "timestamp": __import__('datetime').datetime.now().isoformat()
    }
    
    logger.info(f"Resource benchmark completed for {benchmark_type}")
    render_mapping("Benchmark:", benchmark_data)