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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, Optional |
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from datasets import Features, Sequence, Value |
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from .operator import InstanceOperator |
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class Validator(ABC): |
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pass |
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class ValidateSchema(Validator, InstanceOperator): |
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schema: Features = None |
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def verify(self): |
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assert isinstance( |
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self.schema, Features |
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), "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 std_field in self.standard_fields: |
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assert ( |
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std_field in instance |
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), f'Field "{std_field}" is missing in the first instance' |
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def process( |
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self, instance: Dict[str, Any], stream_name: Optional[str] = None |
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) -> 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 ValidateStandardSchema: |
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schema: Features = field(default_factory=StandardSchema) |
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