import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))))

from virtual_gpu_driver.src.driver_api import VirtualGPU
from gpu_parallel_distributor import GPUParallelDistributor as Distributor
from streaming_multiprocessor import StreamingMultiprocessor as StreamingMP
from src.utils.logger import Logger
from http_storage import LocalStorage
class GPUManager:
    def __init__(self):
        self.logger = Logger()
        self.storage = LocalStorage()  # Initialize storage first
        self.vgpu = VirtualGPU(storage_manager=self.storage)  # Pass storage to VirtualGPU
        self.distributor = Distributor()
        self.streaming_mp = None
        self.tensor_cores = []
        
        # Set number of GPUs based on virtual hardware
        self._num_gpus = 4  # Default number of GPUs
        
    @property
    def num_gpus(self) -> int:
        """Get the number of available GPUs"""
        return self._num_gpus

    def initialize(self):
        """Initialize virtual GPU and related components"""
        self.logger.info("Initializing virtual GPU system...")
        
        # Initialize virtual hardware
        self.vgpu.initialize()
        
        # Get number of GPUs from virtual hardware
        self._num_gpus = self.vgpu.get_gpu_count()
        self.logger.info(f"Detected {self._num_gpus} virtual GPUs")
        
        # Initialize streaming multiprocessor after hardware init
        self.streaming_mp = StreamingMP(
            sm_id=0,  # Primary streaming multiprocessor
            storage=self.storage,
            chip_id=0  # Primary GPU
        )
        
        self.setup_tensor_cores()
        self.configure_memory()
        self.streaming_mp.configure_for_mining()

    def setup_tensor_cores(self):
        """Configure tensor cores for mining operations"""
        self.logger.info("Setting up tensor cores...")
        # Implementation for tensor core setup

    def configure_memory(self):
        """Configure virtual memory for mining operations"""
        self.logger.info("Configuring virtual memory...")
        # Implementation for memory configuration

    def allocate_resources(self, workload):
        """Distribute mining workload across available resources"""
        return self.distributor.distribute_work(
            workload,
            self.tensor_cores
        )

    def monitor_temperature(self):
        """Monitor GPU temperature"""
        return self.vgpu.get_temperature()

    def get_hashrate(self):
        """Calculate current hashrate"""
        return self.streaming_mp.get_performance_metrics()
