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