()
| 58 | |
| 59 | |
| 60 | def test_model(): |
| 61 | class MyModel: |
| 62 | # this is not required, but it avoids `__pydantic_fields_set__` being included in `__dict__` |
| 63 | __slots__ = '__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__' |
| 64 | field_a: int |
| 65 | field_b: date |
| 66 | |
| 67 | v = SchemaValidator( |
| 68 | core_schema.model_schema( |
| 69 | MyModel, |
| 70 | core_schema.model_fields_schema( |
| 71 | { |
| 72 | 'field_a': core_schema.model_field(core_schema.int_schema()), |
| 73 | 'field_b': core_schema.model_field(core_schema.date_schema()), |
| 74 | } |
| 75 | ), |
| 76 | ) |
| 77 | ) |
| 78 | m2 = v.validate_strings({'field_a': '1', 'field_b': '2017-01-01'}) |
| 79 | assert m2.__dict__ == {'field_a': 1, 'field_b': date(2017, 1, 1)} |
| 80 | m2 = v.validate_strings({'field_a': '1', 'field_b': '2017-01-01'}, strict=True) |
| 81 | assert m2.__dict__ == {'field_a': 1, 'field_b': date(2017, 1, 1)} |
| 82 | |
| 83 | |
| 84 | def test_dataclass(): |
nothing calls this directly
no test coverage detected