Storage and Utilities

class Drive:
    """Cloud storage drive abstraction for managing cloud storage resources."""
    def __init__(
        self,
        id: str,
        allow_duplicates: bool = False,
        component_name: Optional[str] = None,
        root_folder: Optional[str] = None,
    ):
        """
        Initialize a Drive for shared file storage.
        
        Parameters:
        - id: Unique identifier for this Drive
        - allow_duplicates: Whether to enable files duplication between components
        - component_name: Component name which owns this drive (auto-inferred if None)
        - root_folder: Mount directory for the drive
        """
    
    def put(self, source: str, destination: str = "") -> str:
        """Put a file or directory into the drive."""
    
    def get(self, source: str, destination: str = "", overwrite: bool = True):
        """Get a file or directory from the drive."""
    
    def list(self, source: str = "") -> List[str]:
        """List files and directories in the drive."""
    
    def delete(self, source: str):
        """Delete a file or directory from the drive."""

class FileSystem:
    """File system operations interface for local and remote file systems."""
    def __init__(self):
        """Initialize filesystem operations."""
    
    def get(
        self,
        source: str,
        destination: str,
        overwrite: bool = True,
        on_progress: Optional[Callable] = None
    ):
        """Copy files from source to destination."""
    
    def put(
        self,
        source: str,
        destination: str,
        overwrite: bool = True,
        on_progress: Optional[Callable] = None
    ):
        """Copy files from source to destination."""

class Mount:
    """Mount point configuration for storage resources in Lightning Apps."""
    def __init__(
        self,
        source: str,
        mount_path: str,
        read_only: bool = False
    ):
        """
        Initialize a mount configuration.
        
        Parameters:
        - source: Source path to mount
        - mount_path: Path where source will be mounted
        - read_only: Whether mount is read-only
        """

class StorageOrchestrator:
    """Orchestrates storage operations across multiple storage backends."""
    def __init__(
        self,
        app: "LightningApp",
        request_queues: Dict[str, BaseQueue],
        response_queues: Dict[str, BaseQueue],
        copy_request_queue: BaseQueue,
        copy_response_queue: BaseQueue,
    ):
        """Initialize storage orchestrator for managing storage operations."""

class Path:
    """Enhanced path handling utilities optimized for Lightning Apps."""
    def __init__(self, *args):
        """Initialize a Path object with enhanced Lightning Apps functionality."""

class Payload:
    """Data payload abstraction for efficient storage and transfer operations."""
    def __init__(self, value: Any):
        """
        Initialize a payload for data transfer.
        
        Parameters:
        - value: The data value to wrap as a payload
        """

# Enhanced debugger for Lightning Apps
def set_trace():
    """
    Set a breakpoint for debugging Lightning Apps.
    
    Enhanced version of pdb.set_trace() that works correctly
    within Lightning Apps execution context, including 
    forked processes and distributed environments.
    """

import lightning as L

class DataManager(L.LightningWork):
    def __init__(self):
        super().__init__()
        
    def run(self, data_path):
        # Storage operations within Lightning Apps
        # The exact API depends on the storage backend
        print(f"Managing data at: {data_path}")
        
        # Example storage operations would be implemented here
        # based on the specific storage module functionality

import lightning as L
from lightning import pdb

class DebuggableWork(L.LightningWork):
    def __init__(self):
        super().__init__()
        
    def run(self, data):
        print("Starting work execution...")
        
        # Set breakpoint for debugging
        pdb.set_trace()  # Enhanced debugger for Lightning Apps
        
        # Process data
        result = self.process_data(data)
        return result
        
    def process_data(self, data):
        # Complex processing logic that might need debugging
        processed = []
        for item in data:
            # Another potential breakpoint location
            if len(processed) > 10:
                pdb.set_trace()
            processed.append(item * 2)
        return processed

class DebuggableFlow(L.LightningFlow):
    def __init__(self):
        super().__init__()
        self.worker = DebuggableWork()
        
    def run(self):
        test_data = list(range(20))
        result = self.worker.run(test_data)
        print(f"Work completed with result: {result}")

# The enhanced debugger works correctly in Lightning Apps context
app = L.LightningApp(DebuggableFlow())
app.run()

import lightning as L

# Storage utilities available through L.storage
# Enhanced debugging available through L.pdb.set_trace()