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1.4 kB
| from .text_utils import split_words | |
| from .stream import StreamInstanceOperator, InstanceOperatorWithGlobalAccess, Artifact | |
| from datasets import Value, Features, Dataset, Sequence | |
| from dataclasses import field | |
| from typing import Dict, Any | |
| from abc import ABC, abstractmethod | |
| class Validator(ABC): | |
| pass | |
| class ValidateSchema(Validator, StreamInstanceOperator): | |
| schema: Features = None | |
| def verify(self): | |
| assert isinstance(self.schema, Features), 'Schema must be an instance of Features' | |
| assert self.schema is not None, 'Schema must be specified' | |
| def verify_first_instance(self, instance): | |
| for field in self.standart_fields: | |
| assert field in instance, f'Field "{field}" is missing in the first instance' | |
| def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]: | |
| return instance | |
| class StandardSchema(Features): | |
| def __init__(self): | |
| super().__init__({ | |
| 'source': Value('string'), | |
| 'target': Value('string'), | |
| 'references': Sequence(Value('string')), | |
| 'metrics': Sequence(Value('string')), | |
| 'parser': Value('string'), | |
| # 'group': Value('string'), | |
| # 'guidance': Value('string'), | |
| }) | |
| class ValidateStandartSchema: | |
| schema: Features = field(default_factory=StandardSchema) | |