| | 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) |
| | |
| | |
| |
|
| |
|