| | from abc import ABC |
| | from dataclasses import field |
| | from typing import Any, Dict, Optional |
| |
|
| | from datasets import 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 std_field in self.standart_fields: |
| | assert ( |
| | std_field in instance |
| | ), f'Field "{std_field}" is missing in the first instance' |
| |
|
| | def process( |
| | self, instance: Dict[str, Any], stream_name: Optional[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) |
| |
|