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import re
from enum import Enum
import pytest
from pydantic_core import SchemaValidator, ValidationError, core_schema
from ..conftest import Err, PyAndJson, plain_repr
@pytest.mark.parametrize(
'input_value,expected',
[
('{"a": 1}', {'a': 1}),
('"a"', 'a'),
('1', 1),
('[1, 2, 3, "4"]', [1, 2, 3, '4']),
(
'{1: 2}',
Err(
'Invalid JSON: key must be a string at line 1 column 2 [type=json_invalid,',
[
{
'type': 'json_invalid',
'loc': (),
'msg': 'Invalid JSON: key must be a string at line 1 column 2',
'input': '{1: 2}',
'ctx': {'error': 'key must be a string at line 1 column 2'},
}
],
),
),
(44, Err('JSON input should be string, bytes or bytearray [type=json_type, input_value=44, input_type=int')),
],
)
def test_any(py_and_json: PyAndJson, input_value, expected):
v = py_and_json(core_schema.json_schema())
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=re.escape(expected.message)) as exc_info:
v.validate_test(input_value)
if expected.errors is not None:
# debug(exc_info.value.errors(include_url=False))
assert exc_info.value.errors(include_url=False) == expected.errors
else:
assert v.validate_test(input_value) == expected
@pytest.mark.parametrize(
'input_value,expected',
[
pytest.param('{"a": 1}', {'a': 1}, id='str'),
pytest.param(b'{"a": 1}', {'a': 1}, id='bytes'),
pytest.param(
'🐈 Hello \ud800World',
Err(
'Input should be a valid string, unable to parse raw data as a unicode string '
"[type=string_unicode, input_value='🐈 Hello \\ud800World', input_type=str]"
),
id='str_unicode',
),
pytest.param(bytearray(b'{"a": 1}'), {'a': 1}, id='bytearray'),
pytest.param(
'xx',
Err(
"Invalid JSON: expected value at line 1 column 1 [type=json_invalid, input_value='xx', input_type=str]"
),
id='str_invalid',
),
pytest.param(
b'xx',
Err(
'Invalid JSON: expected value at line 1 column 1 '
"[type=json_invalid, input_value=b'xx', input_type=bytes]"
),
id='bytes_invalid',
),
pytest.param(
bytearray(b'xx'),
Err(
'Invalid JSON: expected value at line 1 column 1 '
"[type=json_invalid, input_value=bytearray(b'xx'), input_type=bytearray]"
),
id='bytearray_invalid',
),
],
)
def test_any_python(input_value, expected):
v = SchemaValidator(core_schema.json_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]', [1]),
('[1, 2, 3, "4"]', [1, 2, 3, 4]),
('44', Err(r'Input should be a valid (list|array) \[type=list_type, input_value=44, input_type=int')),
('"x"', Err(r"Input should be a valid (list|array) \[type=list_type, input_value='x', input_type=str")),
(
'[1, 2, 3, "err"]',
Err(
r'Input should be a valid integer, unable to parse string as an integer \[type=int_parsing,',
[
{
'type': 'int_parsing',
'loc': (3,),
'msg': 'Input should be a valid integer, unable to parse string as an integer',
'input': 'err',
}
],
),
),
],
)
def test_list_int(py_and_json: PyAndJson, input_value, expected):
v = py_and_json(core_schema.json_schema(core_schema.list_schema(core_schema.int_schema())))
if isinstance(expected, Err):
with pytest.raises(ValidationError, match=expected.message) as exc_info:
v.validate_test(input_value)
if expected.errors is not None:
# debug(exc_info.value.errors(include_url=False))
assert exc_info.value.errors(include_url=False) == expected.errors
else:
assert v.validate_test(input_value) == expected
def test_dict_key(py_and_json: PyAndJson):
v = py_and_json(
core_schema.dict_schema(
core_schema.json_schema(core_schema.tuple_positional_schema([core_schema.int_schema()])),
core_schema.int_schema(),
)
)
assert v.validate_test({'[1]': 4}) == {(1,): 4}
with pytest.raises(ValidationError) as exc_info:
v.validate_test({'x': 4})
# insert_assert(exc_info.value.errors(include_url=False))
assert exc_info.value.errors(include_url=False) == [
{
'type': 'json_invalid',
'loc': ('x', '[key]'),
'msg': 'Invalid JSON: expected value at line 1 column 1',
'input': 'x',
'ctx': {'error': 'expected value at line 1 column 1'},
}
]
def test_enum() -> None:
class MyEnum(Enum):
a = 'a'
b = 'b'
enum_schema = core_schema.lax_or_strict_schema(
core_schema.no_info_after_validator_function(MyEnum, core_schema.str_schema()),
core_schema.is_instance_schema(MyEnum),
)
v = core_schema.json_schema(enum_schema)
v = SchemaValidator(v)
assert v.validate_python('"a"') == MyEnum.a
assert v.validate_python('"b"') == MyEnum.b
with pytest.raises(ValidationError):
v.validate_python('"c"')
def test_any_schema_no_schema():
v = SchemaValidator(core_schema.json_schema())
assert 'validator:None' in plain_repr(v)
v = SchemaValidator(core_schema.json_schema(core_schema.any_schema()))
assert 'validator:None' in plain_repr(v)
v = SchemaValidator(core_schema.json_schema(core_schema.int_schema()))
assert 'validator:Some(' in plain_repr(v)
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