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
|
import dataclasses
import re
from collections import namedtuple
from functools import partial
import pytest
from pydantic_core import ArgsKwargs, SchemaValidator, ValidationError
from pydantic_core import core_schema as cs
from ..conftest import Err, PyAndJson, plain_repr
@pytest.mark.parametrize(
'input_value,expected',
[
[(1, 2, 3), 6],
[{'a': 1, 'b': 1, 'c': 1}, 3],
[ArgsKwargs((1,), {'b': 1, 'c': 1}), 3],
[(1, 2, 'x'), Err('2\n Input should be a valid integer,')],
[(3, 3, 4), 10],
[(3, 3, 5), Err('return\n Input should be less than or equal to 10')],
],
)
def test_function_call_arguments(py_and_json: PyAndJson, input_value, expected):
def my_function(a, b, c):
return a + b + c
v = py_and_json(
{
'type': 'call',
'function': my_function,
'arguments_schema': {
'type': 'arguments',
'arguments_schema': [
{'name': 'a', 'mode': 'positional_or_keyword', 'schema': {'type': 'int'}},
{'name': 'b', 'mode': 'positional_or_keyword', 'schema': {'type': 'int'}},
{'name': 'c', 'mode': 'positional_or_keyword', 'schema': {'type': 'int'}},
],
},
'return_schema': {'type': 'int', 'le': 10},
}
)
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)) as exc_info:
v.validate_python(input_value)
# debug(exc_info.value.errors(include_url=False))
if expected.errors is not None:
assert exc_info.value.errors(include_url=False) == expected.errors
else:
assert v.validate_python(input_value) == expected
@pytest.mark.parametrize(
'input_value,expected',
[
[((1, 2, 3), {}), 6],
[((1, 2, 3), {}), 6],
[{'a': 1, 'b': 1, 'c': 1}, 3],
['x', TypeError('Arguments validator should return a tuple')],
# lists are not allowed, input must strictly be a tuple
[[(1, 2, 3), {}], TypeError('Arguments validator should return a tuple')],
[((1, 2, 3, 4), {}), TypeError('my_function() takes 3 positional arguments but 4 were given')],
[{'a': 1, 'b': 1, 'c': 1, 'd': 1}, TypeError("my_function() got an unexpected keyword argument 'd'")],
],
)
def test_function_args_any(input_value, expected):
def my_function(a, b, c):
return a + b + c
v = SchemaValidator(cs.call_schema(function=my_function, arguments=cs.any_schema(), return_schema=cs.int_schema()))
if isinstance(expected, Exception):
with pytest.raises(type(expected), match=re.escape(str(expected))):
v.validate_python(input_value)
else:
assert v.validate_python(input_value) == expected
@pytest.mark.parametrize('input_value,expected', [[((1,), {}), 1], [(('abc',), {}), 'abc']])
def test_function_return_any(input_value, expected):
def my_function(a):
return a
v = SchemaValidator(cs.call_schema(function=my_function, arguments=cs.any_schema()))
assert 'name:"call[my_function]"' in plain_repr(v)
assert v.validate_python(input_value) == expected
def test_in_union():
def my_function(a):
return a
v = SchemaValidator(
cs.union_schema(
choices=[
cs.call_schema(
function=my_function,
arguments=cs.arguments_schema(
arguments=[{'name': 'a', 'mode': 'positional_or_keyword', 'schema': cs.int_schema()}]
),
),
cs.int_schema(),
]
)
)
assert v.validate_python((1,)) == 1
with pytest.raises(ValidationError) as exc_info:
v.validate_python((1, 2))
assert exc_info.value.errors(include_url=False) == [
{
'type': 'unexpected_positional_argument',
'loc': ('call[my_function]', 1),
'msg': 'Unexpected positional argument',
'input': 2,
},
{'type': 'int_type', 'loc': ('int',), 'msg': 'Input should be a valid integer', 'input': (1, 2)},
]
def test_dataclass():
@dataclasses.dataclass
class my_dataclass:
a: int
b: str
v = SchemaValidator(
cs.call_schema(
function=my_dataclass,
arguments=cs.arguments_schema(
arguments=[
{'name': 'a', 'mode': 'positional_or_keyword', 'schema': cs.int_schema()},
{'name': 'b', 'mode': 'positional_or_keyword', 'schema': cs.str_schema()},
]
),
)
)
d = v.validate_python(('1', b'2'))
assert dataclasses.is_dataclass(d)
assert d.a == 1
assert d.b == '2'
d = v.validate_python({'a': 1, 'b': '2'})
assert dataclasses.is_dataclass(d)
assert d.a == 1
assert d.b == '2'
assert 'name:"call[my_dataclass]"' in plain_repr(v)
def test_named_tuple():
Point = namedtuple('Point', ['x', 'y'])
v = SchemaValidator(
cs.call_schema(
function=Point,
arguments=cs.arguments_schema(
arguments=[
{'name': 'x', 'mode': 'positional_or_keyword', 'schema': cs.float_schema()},
{'name': 'y', 'mode': 'positional_or_keyword', 'schema': cs.float_schema()},
]
),
)
)
d = v.validate_python(('1.1', '2.2'))
assert isinstance(d, Point)
assert d.x == 1.1
assert d.y == 2.2
d = v.validate_python({'x': 1.1, 'y': 2.2})
assert isinstance(d, Point)
assert d.x == 1.1
assert d.y == 2.2
def test_function_call_partial():
def my_function(a, b, c):
return a + b + c
v = SchemaValidator(
cs.call_schema(
function=partial(my_function, c=3),
arguments=cs.arguments_schema(
arguments=[
{'name': 'a', 'mode': 'positional_or_keyword', 'schema': cs.int_schema()},
{'name': 'b', 'mode': 'positional_or_keyword', 'schema': cs.int_schema()},
]
),
)
)
assert 'name:"call[my_function]"' in plain_repr(v)
assert v.validate_python((1, 2)) == 6
assert v.validate_python((1, '2')) == 6
def test_custom_name():
def my_function(a):
return a
v = SchemaValidator(
cs.call_schema(
function=my_function,
function_name='foobar',
arguments=cs.arguments_schema(
arguments=[{'name': 'a', 'mode': 'positional_or_keyword', 'schema': cs.int_schema()}]
),
)
)
assert 'name:"call[foobar]"' in plain_repr(v)
assert v.validate_python((1,)) == 1
assert v.validate_python(('2',)) == 2
|
