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"""Test the utils.custom_errors module."""

import re

import pytest

from pydantic import ValidationError, create_model

import ratapi.utils.custom_errors

@pytest.fixture

def TestModel():

"""Create a custom pydantic model for the tests."""

TestModel = create_model("TestModel", int_field=(int, 1), str_field=(str, "a"), __config__={"extra": "forbid"})

return TestModel

@pytest.mark.parametrize(

["custom_errors", "expected_error_message"],

[

(

{},

"2 validation errors for TestModel\nint_field\n Input should be a valid integer, unable to parse string "

"as an integer [type=int_parsing, input_value='string', input_type=str]\nstr_field\n Input should be a "

"valid string [type=string_type, input_value=5, input_type=int]",

(

{"int_parsing": "This is a custom error message", "string_type": "This is another custom error message"},

"2 validation errors for TestModel\nint_field\n This is a custom error message [type=int_parsing, "

"input_value='string', input_type=str]\nstr_field\n This is another custom error message "

"[type=string_type, input_value=5, input_type=int]",

)

def test_custom_pydantic_validation_error(

TestModel,

custom_errors: dict[str, str],

expected_error_message: str,

) -> None:

"""When we call custom_pydantic_validation_error with custom errors, we should return an error list containing

PydanticCustomErrors, otherwise we return the original set of errors.

"""

try:

TestModel(int_field="string", str_field=5)

except ValidationError as exc:

custom_error_list = ratapi.utils.custom_errors.custom_pydantic_validation_error(exc.errors(), custom_errors)

with pytest.raises(ValidationError, match=re.escape(expected_error_message)):

raise ValidationError.from_exception_data("TestModel", custom_error_list)

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