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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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84 lines
3.6 KiB
84 lines
3.6 KiB
import unittest
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from typing import List
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from data_import.pipeline import builders
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from data_import.pipeline.data import TextData
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from data_import.pipeline.exceptions import FileParseException
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from data_import.pipeline.labels import CategoryLabel, SpanLabel
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class TestColumnBuilder(unittest.TestCase):
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def assert_record(self, actual, expected):
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self.assertEqual(actual.data.text, expected['data'])
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self.assertEqual(actual.label, expected['label'])
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def create_record(self, row, data_column: builders.DataColumn, label_columns: List[builders.LabelColumn]):
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builder = builders.ColumnBuilder(
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data_column=data_column,
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label_columns=label_columns
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)
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return builder.build(row, filename='', line_num=1)
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def test_can_load_default_column_names(self):
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row = {'text': 'Text', 'label': 'Label'}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [builders.LabelColumn('label', CategoryLabel)]
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actual = self.create_record(row, data_column, label_columns)
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expected = {'data': 'Text', 'label': [{'label': 'Label'}]}
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self.assert_record(actual, expected)
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def test_can_specify_any_column_names(self):
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row = {'body': 'Text', 'star': 5}
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data_column = builders.DataColumn('body', TextData)
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label_columns = [builders.LabelColumn('star', CategoryLabel)]
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actual = self.create_record(row, data_column, label_columns)
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expected = {'data': 'Text', 'label': [{'label': '5'}]}
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self.assert_record(actual, expected)
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def test_can_load_only_text_column(self):
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row = {'text': 'Text', 'label': None}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [builders.LabelColumn('label', CategoryLabel)]
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actual = self.create_record(row, data_column, label_columns)
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expected = {'data': 'Text', 'label': []}
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self.assert_record(actual, expected)
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def test_denies_no_data_column(self):
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row = {'label': 'Label'}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [builders.LabelColumn('label', CategoryLabel)]
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with self.assertRaises(FileParseException):
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self.create_record(row, data_column, label_columns)
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def test_denies_empty_text(self):
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row = {'text': '', 'label': 'Label'}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [builders.LabelColumn('label', CategoryLabel)]
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with self.assertRaises(FileParseException):
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self.create_record(row, data_column, label_columns)
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def test_can_load_int_as_text(self):
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row = {'text': 5, 'label': 'Label'}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [builders.LabelColumn('label', CategoryLabel)]
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actual = self.create_record(row, data_column, label_columns)
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expected = {'data': '5', 'label': [{'label': 'Label'}]}
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self.assert_record(actual, expected)
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def test_can_build_multiple_labels(self):
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row = {'text': 'Text', 'cats': ['Label'], 'entities': [(0, 1, 'LOC')]}
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data_column = builders.DataColumn('text', TextData)
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label_columns = [
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builders.LabelColumn('cats', CategoryLabel),
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builders.LabelColumn('entities', SpanLabel)
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]
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actual = self.create_record(row, data_column, label_columns)
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expected = {
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'data': 'Text',
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'label': [
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{'label': 'Label'},
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{'label': 'LOC', 'start_offset': 0, 'end_offset': 1}
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]
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}
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self.assert_record(actual, expected)
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