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
|
import re
from collections import deque
from typing import Any
import pytest
from pydantic_core import SchemaValidator, ValidationError
from pydantic_core import core_schema as cs
from ..conftest import Err, PyAndJson, infinite_generator
@pytest.mark.parametrize(
'input_value,expected',
[
([], set()),
([1, 2, 3], {1, 2, 3}),
([1, 2, '3'], {1, 2, 3}),
([1, 2, 3, 2, 3], {1, 2, 3}),
(5, Err('[type=set_type, input_value=5, input_type=int]')),
],
)
def test_set_ints_both(py_and_json: PyAndJson, input_value, expected):
v = py_and_json({'type': 'set', 'items_schema': {'type': 'int'}})
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)):
v.validate_test(input_value)
else:
assert v.validate_test(input_value) == expected
@pytest.mark.parametrize('input_value,expected', [([1, 2.5, '3'], {1, 2.5, '3'})])
def test_set_no_validators_both(py_and_json: PyAndJson, input_value, expected):
v = py_and_json({'type': 'set'})
assert v.validate_test(input_value) == expected
@pytest.mark.parametrize(
'input_value,expected',
[
([1, 2.5, '3'], {1, 2.5, '3'}),
('foo', Err('[type=set_type, input_value=foo, input_type=str]')),
(1, Err('[type=set_type, input_value=1.0, input_type=float]')),
(1.0, Err('[type=set_type, input_value=1.0, input_type=float]')),
(False, Err('[type=set_type, input_value=False, input_type=bool]')),
],
)
def test_frozenset_no_validators_both(py_and_json: PyAndJson, input_value, expected):
v = py_and_json({'type': 'set'})
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=expected.message):
v.validate_test(input_value)
else:
assert v.validate_test(input_value) == expected
@pytest.mark.parametrize(
'input_value,expected',
[
({1, 2, 3}, {1, 2, 3}),
(set(), set()),
([1, 2, 3, 2, 3], {1, 2, 3}),
([], set()),
((1, 2, 3, 2, 3), {1, 2, 3}),
((), set()),
(frozenset([1, 2, 3, 2, 3]), {1, 2, 3}),
(deque((1, 2, '3')), {1, 2, 3}),
({1: 10, 2: 20, '3': '30'}.keys(), {1, 2, 3}),
({1: 10, 2: 20, '3': '30'}.values(), {10, 20, 30}),
({1: 10, 2: 20, '3': '30'}, Err('Input should be a valid set [type=set_type,')),
((x for x in [1, 2, '3']), {1, 2, 3}),
({'abc'}, Err('0\n Input should be a valid integer')),
({1: 2}, Err('1 validation error for set[int]\n Input should be a valid set')),
('abc', Err('Input should be a valid set')),
],
)
@pytest.mark.thread_unsafe # generators in parameters not compatible with pytest-run-parallel, https://github.com/Quansight-Labs/pytest-run-parallel/issues/14
def test_set_ints_python(input_value, expected):
v = SchemaValidator(cs.set_schema(items_schema=cs.int_schema()))
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)):
v.validate_python(input_value)
else:
assert v.validate_python(input_value) == expected
@pytest.mark.parametrize('input_value,expected', [([1, 2.5, '3'], {1, 2.5, '3'}), ([(1, 2), (3, 4)], {(1, 2), (3, 4)})])
def test_set_no_validators_python(input_value, expected):
v = SchemaValidator(cs.set_schema())
assert v.validate_python(input_value) == expected
def test_set_multiple_errors():
v = SchemaValidator(cs.set_schema(items_schema=cs.int_schema()))
with pytest.raises(ValidationError) as exc_info:
v.validate_python(['a', (1, 2), []])
assert exc_info.value.errors(include_url=False) == [
{
'type': 'int_parsing',
'loc': (0,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'a',
},
{'type': 'int_type', 'loc': (1,), 'msg': 'Input should be a valid integer', 'input': (1, 2)},
{'type': 'int_type', 'loc': (2,), 'msg': 'Input should be a valid integer', 'input': []},
]
def test_list_with_unhashable_items():
v = SchemaValidator(cs.set_schema())
class Unhashable:
__hash__ = None
unhashable = Unhashable()
with pytest.raises(ValidationError) as exc_info:
v.validate_python([{'a': 'b'}, unhashable])
assert exc_info.value.errors(include_url=False) == [
{'type': 'set_item_not_hashable', 'loc': (0,), 'msg': 'Set items should be hashable', 'input': {'a': 'b'}},
{'type': 'set_item_not_hashable', 'loc': (1,), 'msg': 'Set items should be hashable', 'input': unhashable},
]
def generate_repeats():
for i in 1, 2, 3:
yield i
yield i
@pytest.mark.parametrize(
'kwargs,input_value,expected',
[
({'strict': True}, {1, 2, 3}, {1, 2, 3}),
({'strict': True}, set(), set()),
({'strict': True}, [1, 2, 3, 2, 3], Err('Input should be a valid set [type=set_type,')),
({'strict': True}, [], Err('Input should be a valid set [type=set_type,')),
({'strict': True}, (), Err('Input should be a valid set [type=set_type,')),
({'strict': True}, (1, 2, 3), Err('Input should be a valid set [type=set_type,')),
({'strict': True}, frozenset([1, 2, 3]), Err('Input should be a valid set [type=set_type,')),
({'strict': True}, 'abc', Err('Input should be a valid set [type=set_type,')),
({'min_length': 3}, {1, 2, 3}, {1, 2, 3}),
({'min_length': 3}, {1, 2}, Err('Set should have at least 3 items after validation, not 2 [type=too_short,')),
(
{'max_length': 3},
{1, 2, 3, 4},
Err('Set should have at most 3 items after validation, not more [type=too_long,'),
),
(
{'max_length': 3},
[1, 2, 3, 4],
Err('Set should have at most 3 items after validation, not more [type=too_long,'),
),
({'max_length': 3, 'items_schema': {'type': 'int'}}, {1, 2, 3, 4}, Err('type=too_long,')),
({'max_length': 3, 'items_schema': {'type': 'int'}}, [1, 2, 3, 4], Err('type=too_long,')),
# length check after set creation
({'max_length': 3}, [1, 1, 2, 2, 3, 3], {1, 2, 3}),
({'max_length': 3}, generate_repeats(), {1, 2, 3}),
(
{'max_length': 3},
infinite_generator(),
Err('Set should have at most 3 items after validation, not more [type=too_long,'),
),
],
ids=repr,
)
@pytest.mark.thread_unsafe # generators in parameters not compatible with pytest-run-parallel, https://github.com/Quansight-Labs/pytest-run-parallel/issues/14
def test_set_kwargs(kwargs: dict[str, Any], input_value, expected):
v = SchemaValidator(cs.set_schema(**kwargs))
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)):
r = v.validate_python(input_value)
print(f'unexpected result: {r!r}')
else:
assert v.validate_python(input_value) == expected
@pytest.mark.parametrize('input_value,expected', [({1, 2, 3}, {1, 2, 3}), ([1, 2, 3], [1, 2, 3])])
def test_union_set_list(input_value, expected):
v = SchemaValidator(cs.union_schema(choices=[cs.set_schema(), cs.list_schema()]))
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)):
v.validate_python(input_value)
else:
assert v.validate_python(input_value) == expected
@pytest.mark.parametrize(
'input_value,expected',
[
({1, 2, 3}, {1, 2, 3}),
({'a', 'b', 'c'}, {'a', 'b', 'c'}),
(
[1, 'a'],
Err(
'2 validation errors for union',
errors=[
{
'type': 'int_type',
'loc': ('set[int]', 1),
'msg': 'Input should be a valid integer',
'input': 'a',
},
# second because validation on the string choice comes second
{
'type': 'string_type',
'loc': ('set[str]', 0),
'msg': 'Input should be a valid string',
'input': 1,
},
],
),
),
],
)
def test_union_set_int_set_str(input_value, expected):
v = SchemaValidator(
cs.union_schema(
choices=[
cs.set_schema(items_schema=cs.int_schema(strict=True)),
cs.set_schema(items_schema=cs.str_schema(strict=True)),
]
)
)
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)) as exc_info:
v.validate_python(input_value)
if expected.errors is not None:
assert exc_info.value.errors(include_url=False) == expected.errors
else:
assert v.validate_python(input_value) == expected
def test_set_as_dict_keys(py_and_json: PyAndJson):
v = py_and_json({'type': 'dict', 'keys_schema': {'type': 'set'}, 'values_schema': {'type': 'int'}})
with pytest.raises(ValidationError, match=re.escape("[type=set_type, input_value='foo', input_type=str]")):
v.validate_test({'foo': 'bar'})
def test_generator_error():
def gen(error: bool):
yield 1
yield 2
if error:
raise RuntimeError('my error')
yield 3
v = SchemaValidator(cs.set_schema(items_schema=cs.int_schema()))
r = v.validate_python(gen(False))
assert r == {1, 2, 3}
assert isinstance(r, set)
msg = r'Error iterating over object, error: RuntimeError: my error \[type=iteration_error,'
with pytest.raises(ValidationError, match=msg):
v.validate_python(gen(True))
@pytest.mark.parametrize(
'input_value,items_schema,expected',
[
pytest.param(
{1: 10, 2: 20, '3': '30'}.items(),
{'type': 'tuple', 'items_schema': [{'type': 'any'}], 'variadic_item_index': 0},
{(1, 10), (2, 20), ('3', '30')},
id='Tuple[Any, Any]',
),
pytest.param(
{1: 10, 2: 20, '3': '30'}.items(),
{'type': 'tuple', 'items_schema': [{'type': 'int'}], 'variadic_item_index': 0},
{(1, 10), (2, 20), (3, 30)},
id='Tuple[int, int]',
),
pytest.param({1: 10, 2: 20, '3': '30'}.items(), {'type': 'any'}, {(1, 10), (2, 20), ('3', '30')}, id='Any'),
],
)
def test_set_from_dict_items(input_value, items_schema, expected):
v = SchemaValidator(cs.set_schema(items_schema=items_schema))
output = v.validate_python(input_value)
assert isinstance(output, set)
assert output == expected
@pytest.mark.parametrize(
'input_value,expected',
[
([], set()),
([1, '2', b'3'], {1, '2', b'3'}),
({1, '2', b'3'}, {1, '2', b'3'}),
(frozenset([1, '2', b'3']), {1, '2', b'3'}),
(deque([1, '2', b'3']), {1, '2', b'3'}),
],
)
def test_set_any(input_value, expected):
v = SchemaValidator(cs.set_schema())
output = v.validate_python(input_value)
assert output == expected
assert isinstance(output, set)
@pytest.mark.parametrize(
'fail_fast,expected',
[
pytest.param(
True,
[
{
'type': 'int_parsing',
'loc': (1,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'not-num',
},
],
id='fail_fast',
),
pytest.param(
False,
[
{
'type': 'int_parsing',
'loc': (1,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'not-num',
},
{
'type': 'int_parsing',
'loc': (2,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'again',
},
],
id='not_fail_fast',
),
],
)
def test_set_fail_fast(fail_fast, expected):
v = SchemaValidator(cs.set_schema(items_schema=cs.int_schema(), fail_fast=fail_fast))
with pytest.raises(ValidationError) as exc_info:
v.validate_python([1, 'not-num', 'again'])
assert exc_info.value.errors(include_url=False) == expected
|
