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import re
from collections import OrderedDict
from collections.abc import Mapping
from typing import Any
import pytest
from dirty_equals import HasRepr, IsStr
from pydantic_core import SchemaValidator, ValidationError
from pydantic_core import core_schema as cs
from ..conftest import Err, PyAndJson
def test_dict(py_and_json: PyAndJson):
v = py_and_json({'type': 'dict', 'keys_schema': {'type': 'int'}, 'values_schema': {'type': 'int'}})
assert v.validate_test({'1': 2, '3': 4}) == {1: 2, 3: 4}
v = py_and_json({'type': 'dict', 'strict': True, 'keys_schema': {'type': 'int'}, 'values_schema': {'type': 'int'}})
assert v.validate_test({'1': 2, '3': 4}) == {1: 2, 3: 4}
assert v.validate_test({}) == {}
with pytest.raises(ValidationError, match=re.escape('[type=dict_type, input_value=[], input_type=list]')):
v.validate_test([])
@pytest.mark.parametrize(
'input_value,expected',
[
({'1': b'1', '2': b'2'}, {'1': '1', '2': '2'}),
(OrderedDict(a=b'1', b='2'), {'a': '1', 'b': '2'}),
({}, {}),
('foobar', Err("Input should be a valid dictionary [type=dict_type, input_value='foobar', input_type=str]")),
([], Err('Input should be a valid dictionary [type=dict_type,')),
([('x', 'y')], Err('Input should be a valid dictionary [type=dict_type,')),
([('x', 'y'), ('z', 'z')], Err('Input should be a valid dictionary [type=dict_type,')),
((), Err('Input should be a valid dictionary [type=dict_type,')),
((('x', 'y'),), Err('Input should be a valid dictionary [type=dict_type,')),
((type('Foobar', (), {'x': 1})()), Err('Input should be a valid dictionary [type=dict_type,')),
],
ids=repr,
)
def test_dict_cases(input_value, expected):
v = SchemaValidator(cs.dict_schema(keys_schema=cs.str_schema(), values_schema=cs.str_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
def test_dict_value_error(py_and_json: PyAndJson):
v = py_and_json({'type': 'dict', 'values_schema': {'type': 'int'}})
assert v.validate_test({'a': 2, 'b': '4'}) == {'a': 2, 'b': 4}
with pytest.raises(ValidationError, match='Input should be a valid integer') as exc_info:
v.validate_test({'a': 2, 'b': 'wrong'})
assert exc_info.value.errors(include_url=False) == [
{
'type': 'int_parsing',
'loc': ('b',),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'wrong',
}
]
def test_dict_error_key_int():
v = SchemaValidator(cs.dict_schema(values_schema=cs.int_schema()))
with pytest.raises(ValidationError, match='Input should be a valid integer') as exc_info:
v.validate_python({1: 2, 3: 'wrong', -4: 'wrong2'})
# insert_assert(exc_info.value.errors(include_url=False))
assert exc_info.value.errors(include_url=False) == [
{
'type': 'int_parsing',
'loc': (3,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'wrong',
},
{
'type': 'int_parsing',
'loc': (-4,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'wrong2',
},
]
def test_dict_error_key_other():
v = SchemaValidator(cs.dict_schema(values_schema=cs.int_schema()))
with pytest.raises(ValidationError, match='Input should be a valid integer') as exc_info:
v.validate_python({1: 2, (1, 2): 'wrong'})
assert exc_info.value.errors(include_url=False) == [
{
'type': 'int_parsing',
'loc': ('(1, 2)',),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'wrong',
}
]
def test_dict_any_value():
v = SchemaValidator(cs.dict_schema(keys_schema=cs.str_schema()))
v = SchemaValidator(cs.dict_schema(keys_schema=cs.str_schema()))
assert v.validate_python({'1': 1, '2': 'a', '3': None}) == {'1': 1, '2': 'a', '3': None}
def test_mapping():
class MyMapping(Mapping):
def __init__(self, d):
self._d = d
def __getitem__(self, key):
return self._d[key]
def __iter__(self):
return iter(self._d)
def __len__(self):
return len(self._d)
v = SchemaValidator(cs.dict_schema(keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
assert v.validate_python(MyMapping({'1': 2, 3: '4'})) == {1: 2, 3: 4}
v = SchemaValidator(cs.dict_schema(strict=True, keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
with pytest.raises(ValidationError, match='Input should be a valid dictionary'):
v.validate_python(MyMapping({'1': 2, 3: '4'}))
def test_key_error():
v = SchemaValidator(cs.dict_schema(keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
assert v.validate_python({'1': True}) == {1: 1}
with pytest.raises(ValidationError, match=re.escape('x.[key]\n Input should be a valid integer')) as exc_info:
v.validate_python({'x': 1})
assert exc_info.value.errors(include_url=False) == [
{
'type': 'int_parsing',
'loc': ('x', '[key]'),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'x',
}
]
def test_mapping_error():
class BadMapping(Mapping):
def __getitem__(self, key):
raise None
def __iter__(self):
raise RuntimeError('intentional error')
def __len__(self):
return 1
v = SchemaValidator(cs.dict_schema(keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
with pytest.raises(ValidationError) as exc_info:
v.validate_python(BadMapping())
assert exc_info.value.errors(include_url=False) == [
{
'type': 'mapping_type',
'loc': (),
'msg': 'Input should be a valid mapping, error: RuntimeError: intentional error',
'input': HasRepr(IsStr(regex='.+BadMapping object at.+')),
'ctx': {'error': 'RuntimeError: intentional error'},
}
]
@pytest.mark.parametrize('mapping_items', [[(1,)], ['foobar'], [(1, 2, 3)], 'not list'])
def test_mapping_error_yield_1(mapping_items):
class BadMapping(Mapping):
def items(self):
return mapping_items
def __iter__(self):
pytest.fail('unexpected call to __iter__')
def __getitem__(self, key):
pytest.fail('unexpected call to __getitem__')
def __len__(self):
return 1
v = SchemaValidator(cs.dict_schema(keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
with pytest.raises(ValidationError) as exc_info:
v.validate_python(BadMapping())
assert exc_info.value.errors(include_url=False) == [
{
'type': 'mapping_type',
'loc': (),
'msg': 'Input should be a valid mapping, error: Mapping items must be tuples of (key, value) pairs',
'input': HasRepr(IsStr(regex='.+BadMapping object at.+')),
'ctx': {'error': 'Mapping items must be tuples of (key, value) pairs'},
}
]
@pytest.mark.parametrize(
'kwargs,input_value,expected',
[
({}, {'1': 1, '2': 2}, {'1': 1, '2': 2}),
(
{'min_length': 3},
{'1': 1, '2': 2, '3': 3.0, '4': [1, 2, 3, 4]},
{'1': 1, '2': 2, '3': 3.0, '4': [1, 2, 3, 4]},
),
(
{'min_length': 3},
{1: '2', 3: '4'},
Err('Dictionary should have at least 3 items after validation, not 2 [type=too_short,'),
),
({'max_length': 4}, {'1': 1, '2': 2, '3': 3.0}, {'1': 1, '2': 2, '3': 3.0}),
(
{'max_length': 3},
{'1': 1, '2': 2, '3': 3.0, '4': [1, 2, 3, 4]},
Err('Dictionary should have at most 3 items after validation, not 4 [type=too_long,'),
),
],
)
def test_dict_length_constraints(kwargs: dict[str, Any], input_value, expected):
v = SchemaValidator(cs.dict_schema(**kwargs))
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
def test_json_dict():
v = SchemaValidator(cs.dict_schema(keys_schema=cs.int_schema(), values_schema=cs.int_schema()))
assert v.validate_json('{"1": 2, "3": 4}') == {1: 2, 3: 4}
with pytest.raises(ValidationError) as exc_info:
v.validate_json('1')
assert exc_info.value.errors(include_url=False) == [
{'type': 'dict_type', 'loc': (), 'msg': 'Input should be an object', 'input': 1}
]
def test_dict_complex_key():
v = SchemaValidator(cs.dict_schema(keys_schema=cs.complex_schema(strict=True), values_schema=cs.str_schema()))
assert v.validate_python({complex(1, 2): '1'}) == {complex(1, 2): '1'}
with pytest.raises(ValidationError, match='Input should be an instance of complex'):
assert v.validate_python({'1+2j': b'1'}) == {complex(1, 2): '1'}
v = SchemaValidator(cs.dict_schema(keys_schema=cs.complex_schema(), values_schema=cs.str_schema()))
with pytest.raises(
ValidationError, match='Input should be a valid python complex object, a number, or a valid complex string'
):
v.validate_python({'1+2ja': b'1'})
def test_json_dict_complex_key():
v = SchemaValidator(cs.dict_schema(keys_schema=cs.complex_schema(), values_schema=cs.int_schema()))
assert v.validate_json('{"1+2j": 2, "-3": 4}') == {complex(1, 2): 2, complex(-3, 0): 4}
assert v.validate_json('{"1+2j": 2, "infj": 4}') == {complex(1, 2): 2, complex(0, float('inf')): 4}
with pytest.raises(ValidationError, match='Input should be a valid complex string'):
v.validate_json('{"1+2j": 2, "": 4}') == {complex(1, 2): 2, complex(0, float('inf')): 4}
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