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"""
Abstract base class for data loaders.
Dependency Inversion Principle: depend on abstractions, not concrete implementations.
"""
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, Dict, Optional
import pandas as pd
class BaseDataLoader(ABC):
"""
Abstract base loader for all data sources.
Concrete loaders must implement load() method.
"""
def __init__(self, data_path: Path, **kwargs):
"""
Initialize loader with data path.
Args:
data_path: Path to data file or directory
**kwargs: Additional loader-specific parameters
"""
self.data_path = Path(data_path)
self.kwargs = kwargs
self._validate_path()
def _validate_path(self) -> None:
"""Validate that data path exists."""
if not self.data_path.exists():
raise FileNotFoundError(f"Data path not found: {self.data_path}")
@abstractmethod
def load(self) -> pd.DataFrame:
"""
Load data and return as DataFrame.
Must be implemented by concrete loaders.
Returns:
DataFrame with loaded data
"""
pass
def get_metadata(self) -> Dict[str, Any]:
"""
Get metadata about the loaded data.
Can be overridden by subclasses.
Returns:
Dictionary with metadata
"""
return {
"source": self.__class__.__name__,
"path": str(self.data_path)
}