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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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96 lines
2.5 KiB
96 lines
2.5 KiB
import abc
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import collections.abc
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from typing import Any, Dict, Iterator, List, Type
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from .data import BaseData
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from .label import Label
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DEFAULT_TEXT_COLUMN = 'text'
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DEFAULT_LABEL_COLUMN = 'labels'
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class Record:
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def __init__(self,
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data: Type[BaseData],
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label: List[Label] = None,
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meta: Dict[Any, Any] = None,
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line_num: int = -1):
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if label is None:
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label = []
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if meta is None:
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meta = {}
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self._data = data
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self._label = label
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self._meta = meta
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self._line_num = line_num
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def __str__(self):
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return f'{self._data}\t{self._label}'
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@property
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def data(self):
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return self._data.dict()
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@property
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def label(self):
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return [
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{
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'text': label.name
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} for label in self._label
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if label.has_name() and label.name
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]
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class BaseReader(collections.abc.Iterable):
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@abc.abstractmethod
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def __iter__(self) -> Iterator[Record]:
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"""Creates an iterator for elements of this dataset.
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Returns:
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A `Record` for the elements of this dataset.
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"""
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raise NotImplementedError('Please implement this method in the subclass.')
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@property
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@abc.abstractmethod
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def errors(self):
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raise NotImplementedError('Please implement this method in the subclass.')
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class Parser(abc.ABC):
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@abc.abstractmethod
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def parse(self, filename: str) -> Iterator[Dict[Any, Any]]:
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"""Parses the file and returns the dictionary."""
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raise NotImplementedError('Please implement this method in the subclass.')
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class Builder(abc.ABC):
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@abc.abstractmethod
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def build(self, row: Dict[Any, Any], filename: str, line_num: int) -> Record:
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"""Builds the record from the dictionary."""
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raise NotImplementedError('Please implement this method in the subclass.')
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class Reader(BaseReader):
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def __init__(self, filenames: List[str], parser: Parser, builder: Builder):
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self.filenames = filenames
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self.parser = parser
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self.builder = builder
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self._errors = []
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def __iter__(self) -> Iterator[Record]:
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for filename in self.filenames:
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rows = self.parser.parse(filename)
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for line_num, row in enumerate(rows, start=1):
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record = self.builder.build(row, filename, line_num)
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yield record
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@property
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def errors(self):
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"""Aggregates parser and builder errors."""
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return self._errors
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