Source code for dl_data_pipeline.validator.base_validator

from abc import ABC, abstractmethod
from typing import Any

from .validation_error import ValidationError

[docs] class Validator(ABC): """ Abstract base class for data validation. This class provides a template for creating specific validators that check the integrity or correctness of data. Implementations of this class should define the `validate` method to perform the actual validation logic. Subclasses must override the `validate` method to provide specific validation rules. If the data does not meet the validation criteria, the method should raise a `ValidationError`. Args: data (Any): The data to be validated. Raises: ValidationError: If the data fails to meet the validation criteria defined in the subclass implementation. """
[docs] @abstractmethod def validate(self, data: Any) -> None: """base class for data validation Args: data (Any): data to be processed Raises: ValidationError: data didn't validate """