| 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'), |
| |
| |
| }) |
|
|
| class ValidateStandartSchema: |
| |
| schema: Features = field(default_factory=StandardSchema) |
| |
| |
|
|
|
|