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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'],
(
[ArgsKwargs(()), ((), {})],
[{}, ((), {})],
[ArgsKwargs((1,)), Err('', [{'type': 'unexpected_positional_argument'}])],
[ArgsKwargs((), {'a': 1}), Err('', [{'type': 'unexpected_keyword_argument'}])],
),
)
def test_no_args(py_and_json: PyAndJson, input_value, expected) -> None:
v = py_and_json(cs.arguments_v3_schema([]))
if isinstance(expected, Err):
with pytest.raises(ValidationError) as exc_info:
v.validate_test(input_value)
error = exc_info.value.errors()[0]
assert error['type'] == expected.errors[0]['type']
else:
assert v.validate_test(input_value) == expected
@pytest.mark.parametrize(
['input_value', 'expected'],
[
[ArgsKwargs((1, 2)), ((1, 2), {})],
[ArgsKwargs((1,)), ((1,), {'b': 42})],
[ArgsKwargs((1,), {'b': 3}), ((1,), {'b': 3})],
[ArgsKwargs((), {'a': 1}), ((), {'a': 1, 'b': 42})],
[{'a': 1, 'b': 2}, ((1, 2), {})],
[{'a': 1}, ((1, 42), {})],
],
ids=repr,
)
def test_default_factory(py_and_json: PyAndJson, input_value, expected) -> None:
v = py_and_json(
cs.arguments_v3_schema(
[
cs.arguments_v3_parameter(name='a', schema=cs.int_schema(), mode='positional_or_keyword'),
cs.arguments_v3_parameter(
name='b',
schema=cs.with_default_schema(schema=cs.int_schema(), default_factory=lambda: 42),
mode='positional_or_keyword',
),
]
)
)
assert v.validate_test(input_value) == expected
def double_or_bust(input_value):
if input_value == 1:
raise RuntimeError('bust')
return input_value * 2
def test_internal_error(py_and_json: PyAndJson) -> None:
v = py_and_json(
cs.arguments_v3_schema(
[
cs.arguments_v3_parameter(name='a', schema=cs.int_schema(), mode='positional_only'),
cs.arguments_v3_parameter(
name='b', schema=cs.no_info_plain_validator_function(double_or_bust), mode='positional_only'
),
]
)
)
assert v.validate_test(ArgsKwargs((1, 2))) == ((1, 4), {})
with pytest.raises(RuntimeError, match='bust'):
v.validate_test(ArgsKwargs((1, 1)))
def test_repr() -> None:
v = SchemaValidator(
cs.arguments_v3_schema(
[
cs.arguments_v3_parameter(name='a', schema=cs.int_schema(), mode='positional_or_keyword'),
cs.arguments_v3_parameter(
name='b',
schema=cs.with_default_schema(schema=cs.int_schema(), default_factory=lambda: 42),
mode='keyword_only',
),
]
)
)
assert 'positional_params_count:1,' in plain_repr(v)
@pytest.mark.parametrize(
['input_value', 'expected'],
(
[ArgsKwargs((1, 't', 2, 3, 4), {'c': True, 'other': 1}), ((1, 't', 2, 3, 4), {'c': True, 'other': 1})],
[
{'aa': 1, 'b': 't', 'args': [2, 3, 4], 'c': True, 'kwargs': {'other': 1}},
((1, 't', 2, 3, 4), {'c': True, 'other': 1}),
],
),
)
def test_full(py_and_json: PyAndJson, input_value, expected) -> None:
"""Test inputs against all parameter types:
```python
def func(a: Annotated[int, Field(alias='aa')], /, b: str, *args: int, c: bool, **kwargs: int):
...
```
"""
v = py_and_json(
cs.arguments_v3_schema(
[
cs.arguments_v3_parameter(name='a', schema=cs.int_schema(), alias='aa', mode='positional_only'),
cs.arguments_v3_parameter(name='b', schema=cs.str_schema(), mode='positional_or_keyword'),
cs.arguments_v3_parameter(name='args', schema=cs.int_schema(), mode='var_args'),
cs.arguments_v3_parameter(name='c', schema=cs.bool_schema(), mode='keyword_only'),
cs.arguments_v3_parameter(name='kwargs', schema=cs.int_schema(), mode='var_kwargs_uniform'),
]
)
)
assert v.validate_test(input_value) == expected
|
