| from abc import ABC |
| from dataclasses import field |
| from typing import Any, Dict |
|
|
| from datasets import Dataset, Features, Sequence, Value |
|
|
| from .operator import StreamInstanceOperator |
|
|
|
|
| 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) |
|
|