File: test_row_table_data_model.py

package info (click to toggle)
python-pyface 8.0.0-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 13,944 kB
  • sloc: python: 54,107; makefile: 82
file content (426 lines) | stat: -rw-r--r-- 16,241 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
# (C) Copyright 2005-2023 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!

import unittest

from traits.trait_list_object import TraitList
from traits.testing.api import UnittestTools

from pyface.data_view.abstract_data_model import DataViewSetError
from pyface.data_view.abstract_value_type import AbstractValueType
from pyface.data_view.value_types.api import IntValue, TextValue
from pyface.data_view.data_models.data_accessors import (
    AttributeDataAccessor, IndexDataAccessor, KeyDataAccessor
)
from pyface.data_view.data_models.row_table_data_model import RowTableDataModel


class DataItem:

    def __init__(self, a, b, c):
        self.a = a
        self.b = b
        self.c = c


class TestRowTableDataModel(UnittestTools, unittest.TestCase):

    def setUp(self):
        super().setUp()
        self.data = [
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ]
        self.model = RowTableDataModel(
            data=self.data,
            row_header_data=AttributeDataAccessor(
                attr='a',
                value_type=IntValue(),
            ),
            column_data=[
                AttributeDataAccessor(
                    attr='b',
                    value_type=IntValue(),
                ),
                AttributeDataAccessor(
                    attr='c',
                    value_type=TextValue(),
                )
            ]
        )
        self.values_changed_event = None
        self.structure_changed_event = None
        self.model.observe(self.model_values_changed, 'values_changed')
        self.model.observe(self.model_structure_changed, 'structure_changed')

    def tearDown(self):
        self.model.observe(
            self.model_values_changed, 'values_changed', remove=True)
        self.model.observe(
            self.model_structure_changed, 'structure_changed', remove=True)
        self.values_changed_event = None
        self.structure_changed_event = None
        super().tearDown()

    def model_values_changed(self, event):
        self.values_changed_event = event

    def model_structure_changed(self, event):
        self.structure_changed_event = event

    def test_no_data(self):
        model = RowTableDataModel()
        self.assertEqual(model.get_column_count(), 0)
        self.assertTrue(model.can_have_children(()))
        self.assertEqual(model.get_row_count(()), 0)

    def test_get_column_count(self):
        result = self.model.get_column_count()
        self.assertEqual(result, 2)

    def test_can_have_children(self):
        for row in self.model.iter_rows():
            with self.subTest(row=row):
                result = self.model.can_have_children(row)
                if len(row) == 0:
                    self.assertEqual(result, True)
                else:
                    self.assertEqual(result, False)

    def test_get_row_count(self):
        for row in self.model.iter_rows():
            with self.subTest(row=row):
                result = self.model.get_row_count(row)
                if len(row) == 0:
                    self.assertEqual(result, 10)
                else:
                    self.assertEqual(result, 0)

    def test_get_value(self):
        for row, column in self.model.iter_items():
            with self.subTest(row=row, column=column):
                result = self.model.get_value(row, column)
                if len(row) == 0 and len(column) == 0:
                    self.assertEqual(result, 'A')
                elif len(row) == 0:
                    attr = self.model.column_data[column[0]].attr
                    self.assertEqual(result, attr.title())
                elif len(column) == 0:
                    self.assertEqual(result, row[0])
                else:
                    attr = self.model.column_data[column[0]].attr
                    self.assertEqual(
                        result,
                        getattr(self.data[row[0]], attr)
                    )

    def test_set_value(self):
        for row, column in self.model.iter_items():
            with self.subTest(row=row, column=column):
                if len(row) == 0 and len(column) == 0:
                    with self.assertRaises(DataViewSetError):
                        self.model.set_value(row, column, 0)
                elif len(row) == 0:
                    with self.assertRaises(DataViewSetError):
                        self.model.set_value(row, column, 0)
                elif len(column) == 0:
                    value = 6.0 * row[0]
                    with self.assertTraitChanges(self.model, "values_changed"):
                        self.model.set_value(row, column, value)
                    self.assertEqual(self.data[row[0]].a, value)
                    self.assertEqual(
                        self.values_changed_event.new,
                        (row, column, row, column)
                    )
                else:
                    value = 6.0 * row[-1] + 2 * column[0]
                    with self.assertTraitChanges(self.model, "values_changed"):
                        self.model.set_value(row, column, value)
                    attr = self.model.column_data[column[0]].attr
                    self.assertEqual(
                        getattr(self.data[row[0]], attr),
                        value,
                    )
                    self.assertEqual(
                        self.values_changed_event.new,
                        (row, column, row, column)
                    )

    def test_get_value_type(self):
        for row, column in self.model.iter_items():
            with self.subTest(row=row, column=column):
                result = self.model.get_value_type(row, column)
                if len(row) == 0 and len(column) == 0:
                    self.assertIsInstance(result, AbstractValueType)
                    self.assertIs(
                        result,
                        self.model.row_header_data.title_type,
                    )
                elif len(row) == 0:
                    self.assertIsInstance(result, AbstractValueType)
                    self.assertIs(
                        result,
                        self.model.column_data[column[0]].title_type,
                    )
                elif len(column) == 0:
                    self.assertIsInstance(result, AbstractValueType)
                    self.assertIs(
                        result,
                        self.model.row_header_data.value_type,
                    )
                else:
                    self.assertIsInstance(result, AbstractValueType)
                    self.assertIs(
                        result,
                        self.model.column_data[column[0]].value_type,
                    )

    def test_data_updated(self):
        with self.assertTraitChanges(self.model, "structure_changed"):
            self.model.data = [
                DataItem(a=i+1, b=20*(i+1), c=str(i)) for i in range(10)
            ]
        self.assertTrue(self.structure_changed_event.new)

    def test_data_items_updated_item_added(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "structure_changed"):
            self.model.data += [DataItem(a=100, b=200, c="a string")]
        self.assertTrue(self.structure_changed_event.new)

    def test_data_items_updated_item_replaced(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.data[1] = DataItem(a=100, b=200, c="a string")
        self.assertEqual(self.values_changed_event.new, ((1,), (), (1,), ()))

    def test_data_items_updated_item_replaced_negative(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.data[-2] = DataItem(a=100, b=200, c="a string")
        self.assertEqual(self.values_changed_event.new, ((8,), (), (8,), ()))

    def test_data_items_updated_items_replaced(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.data[1:3] = [
                DataItem(a=100, b=200, c="a string"),
                DataItem(a=200, b=300, c="another string"),
            ]
        self.assertEqual(self.values_changed_event.new, ((1,), (), (2,), ()))

    def test_data_items_updated_slice_replaced(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.data[1:4:2] = [
                DataItem(a=100, b=200, c="a string"),
                DataItem(a=200, b=300, c="another string"),
            ]
        self.assertEqual(self.values_changed_event.new, ((1,), (), (3,), ()))

    def test_data_items_updated_reverse_slice_replaced(self):
        self.model.data = TraitList([
            DataItem(a=i, b=10*i, c=str(i)) for i in range(10)
        ])
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.data[3:1:-1] = [
                DataItem(a=100, b=200, c="a string"),
                DataItem(a=200, b=300, c="another string"),
            ]
        self.assertEqual(self.values_changed_event.new, ((2,), (), (3,), ()))

    def test_row_header_data_updated(self):
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.row_header_data = AttributeDataAccessor(attr='b')
        self.assertEqual(
            self.values_changed_event.new,
            ((), (), (), ())
        )

    def test_row_header_data_values_updated(self):
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.row_header_data.updated = (self.model.row_header_data, 'value')
        self.assertEqual(
            self.values_changed_event.new,
            ((0,), (), (9,), ())
        )

    def test_row_header_data_title_updated(self):
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.row_header_data.updated = (self.model.row_header_data, 'title')
        self.assertEqual(
            self.values_changed_event.new,
            ((), (), (), ())
        )

    def test_no_data_row_header_data_update(self):
        model = RowTableDataModel(
            row_header_data=AttributeDataAccessor(
                attr='a',
                value_type=IntValue(),
            ),
            column_data=[
                AttributeDataAccessor(
                    attr='b',
                    value_type=IntValue(),
                ),
                AttributeDataAccessor(
                    attr='c',
                    value_type=TextValue(),
                )
            ]
        )

        # check that updating accessors is safe with empty data
        with self.assertTraitDoesNotChange(model, 'values_changed'):
            model.row_header_data.attr = 'b'

    def test_column_data_updated(self):
        with self.assertTraitChanges(self.model, "structure_changed"):
            self.model.column_data = [
                AttributeDataAccessor(
                    attr='c',
                    value_type=TextValue(),
                ),
                AttributeDataAccessor(
                    attr='b',
                    value_type=IntValue(),
                ),
            ]
        self.assertTrue(self.structure_changed_event.new)

    def test_column_data_items_updated(self):
        with self.assertTraitChanges(self.model, "structure_changed"):
            self.model.column_data.pop()
        self.assertTrue(self.structure_changed_event.new)

    def test_column_data_value_updated(self):
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.column_data[0].updated = (self.model.column_data[0], 'value')
        self.assertEqual(
            self.values_changed_event.new,
            ((0,), (0,), (9,), (0,))
        )

    def test_no_data_column_data_update(self):
        model = RowTableDataModel(
            row_header_data=AttributeDataAccessor(
                attr='a',
                value_type=IntValue(),
            ),
            column_data=[
                AttributeDataAccessor(
                    attr='b',
                    value_type=IntValue(),
                ),
                AttributeDataAccessor(
                    attr='c',
                    value_type=TextValue(),
                )
            ]
        )

        with self.assertTraitDoesNotChange(model, 'values_changed'):
            model.column_data[0].attr = 'a'

    def test_column_data_title_updated(self):
        with self.assertTraitChanges(self.model, "values_changed"):
            self.model.column_data[0].updated = (self.model.column_data[0], 'title')
        self.assertEqual(
            self.values_changed_event.new,
            ((), (0,), (), (0,))
        )

    def test_list_tuple_data(self):
        data = [
            (i, 10*i, str(i)) for i in range(10)
        ]
        model = RowTableDataModel(
            data=data,
            row_header_data=IndexDataAccessor(
                index=0,
                value_type=IntValue(),
            ),
            column_data=[
                IndexDataAccessor(
                    index=1,
                    value_type=IntValue(),
                ),
                IndexDataAccessor(
                    index=2,
                    value_type=TextValue(),
                )
            ]
        )

        for row, column in model.iter_items():
            with self.subTest(row=row, column=column):
                result = model.get_value(row, column)
                if len(row) == 0 and len(column) == 0:
                    self.assertEqual(result, '0')
                elif len(row) == 0:
                    index = model.column_data[column[0]].index
                    self.assertEqual(result, str(index))
                elif len(column) == 0:
                    self.assertEqual(result, row[0])
                else:
                    index = model.column_data[column[0]].index
                    self.assertEqual(
                        result,
                        data[row[0]][index]
                    )

    def test_list_dict_data(self):
        data = [
            {'a': i, 'b': 10*i, 'c': str(i)} for i in range(10)
        ]
        model = RowTableDataModel(
            data=data,
            row_header_data=KeyDataAccessor(
                key='a',
                value_type=IntValue(),
            ),
            column_data=[
                KeyDataAccessor(
                    key='b',
                    value_type=IntValue(),
                ),
                KeyDataAccessor(
                    key='c',
                    value_type=TextValue(),
                )
            ]
        )

        for row, column in model.iter_items():
            with self.subTest(row=row, column=column):
                result = model.get_value(row, column)
                if len(row) == 0 and len(column) == 0:
                    self.assertEqual(result, 'A')
                elif len(row) == 0:
                    key = model.column_data[column[0]].key
                    self.assertEqual(result, str(key).title())
                elif len(column) == 0:
                    self.assertEqual(result, data[row[0]]['a'])
                else:
                    key = model.column_data[column[0]].key
                    self.assertEqual(
                        result,
                        data[row[0]][key]
                    )