import numpy as np
from src.hardware.hardware_manager import HardwareManager
from src.utils.logger import Logger

class MiningProcessor:
    def __init__(self):
        self.hardware = HardwareManager()
        self.logger = Logger()
        self.workload_size = 1024 * 1024 * 1024  # 1GB default workload size

    def initialize(self):
        """Initialize mining processor"""
        self.logger.info("Initializing mining processor...")
        self.hardware.initialize()

    def prepare_mining_batch(self, block_template):
        """Prepare mining data for processing"""
        # Convert block template to numpy array for processing
        data = np.frombuffer(
            block_template.encode(),
            dtype=np.uint8
        )
        
        # Reshape data for tensor operations
        batch_size = min(len(data), self.workload_size)
        padded_data = np.pad(
            data,
            (0, batch_size - len(data) % batch_size),
            mode='constant'
        )
        
        return padded_data.reshape(-1, 256)  # 256-byte chunks for processing

    def process_mining_batch(self, batch_data):
        """Process a batch of mining data"""
        try:
            # Allocate hardware resources
            resources = self.hardware.allocate_mining_resources(
                workload_size=len(batch_data)
            )
            
            # Configure mining operation
            operation_config = self.hardware.schedule_mining_operation({
                'input_data': batch_data,
                'vram_allocation': resources['vram_allocation'],
                'tensor_cores': resources['tensor_cores'],
                'cpu_threads': resources['cpu_threads']
            })
            
            # Execute mining operation
            success = self.hardware.execute_mining_operation(operation_config)
            
            if not success:
                self.logger.error("Mining operation failed")
                return None
            
            # Monitor hardware status
            status = self.hardware.monitor_hardware_status()
            self.logger.info(f"Hardware status: {status}")
            
            return True
        except Exception as e:
            self.logger.error(f"Error in mining batch processing: {str(e)}")
            return None

    def cleanup(self):
        """Cleanup mining processor resources"""
        self.hardware.cleanup_resources()
