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from abc import ABC |
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from dataclasses import field |
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from typing import Any, Dict |
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from datasets import Dataset, Features, Sequence, Value |
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from .operator import StreamInstanceOperator |
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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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{ |
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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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) |
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class ValidateStandartSchema: |
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schema: Features = field(default_factory=StandardSchema) |
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