openai/openai-python
Publicmirrored fromhttps://github.com/openai/openai-pythonAvailable
tests/test_models.py
573lines · modecode
| 1 | import json |
| 2 | from typing import Any, Dict, List, Union, Optional, cast |
| 3 | from datetime import datetime, timezone |
| 4 | from typing_extensions import Literal |
| 5 | |
| 6 | import pytest |
| 7 | import pydantic |
| 8 | from pydantic import Field |
| 9 | |
| 10 | from openai._compat import PYDANTIC_V2, parse_obj, model_dump, model_json |
| 11 | from openai._models import BaseModel |
| 12 | |
| 13 | |
| 14 | class BasicModel(BaseModel): |
| 15 | foo: str |
| 16 | |
| 17 | |
| 18 | @pytest.mark.parametrize("value", ["hello", 1], ids=["correct type", "mismatched"]) |
| 19 | def test_basic(value: object) -> None: |
| 20 | m = BasicModel.construct(foo=value) |
| 21 | assert m.foo == value |
| 22 | |
| 23 | |
| 24 | def test_directly_nested_model() -> None: |
| 25 | class NestedModel(BaseModel): |
| 26 | nested: BasicModel |
| 27 | |
| 28 | m = NestedModel.construct(nested={"foo": "Foo!"}) |
| 29 | assert m.nested.foo == "Foo!" |
| 30 | |
| 31 | # mismatched types |
| 32 | m = NestedModel.construct(nested="hello!") |
| 33 | assert m.nested == "hello!" |
| 34 | |
| 35 | |
| 36 | def test_optional_nested_model() -> None: |
| 37 | class NestedModel(BaseModel): |
| 38 | nested: Optional[BasicModel] |
| 39 | |
| 40 | m1 = NestedModel.construct(nested=None) |
| 41 | assert m1.nested is None |
| 42 | |
| 43 | m2 = NestedModel.construct(nested={"foo": "bar"}) |
| 44 | assert m2.nested is not None |
| 45 | assert m2.nested.foo == "bar" |
| 46 | |
| 47 | # mismatched types |
| 48 | m3 = NestedModel.construct(nested={"foo"}) |
| 49 | assert isinstance(cast(Any, m3.nested), set) |
| 50 | assert m3.nested == {"foo"} |
| 51 | |
| 52 | |
| 53 | def test_list_nested_model() -> None: |
| 54 | class NestedModel(BaseModel): |
| 55 | nested: List[BasicModel] |
| 56 | |
| 57 | m = NestedModel.construct(nested=[{"foo": "bar"}, {"foo": "2"}]) |
| 58 | assert m.nested is not None |
| 59 | assert isinstance(m.nested, list) |
| 60 | assert len(m.nested) == 2 |
| 61 | assert m.nested[0].foo == "bar" |
| 62 | assert m.nested[1].foo == "2" |
| 63 | |
| 64 | # mismatched types |
| 65 | m = NestedModel.construct(nested=True) |
| 66 | assert cast(Any, m.nested) is True |
| 67 | |
| 68 | m = NestedModel.construct(nested=[False]) |
| 69 | assert cast(Any, m.nested) == [False] |
| 70 | |
| 71 | |
| 72 | def test_optional_list_nested_model() -> None: |
| 73 | class NestedModel(BaseModel): |
| 74 | nested: Optional[List[BasicModel]] |
| 75 | |
| 76 | m1 = NestedModel.construct(nested=[{"foo": "bar"}, {"foo": "2"}]) |
| 77 | assert m1.nested is not None |
| 78 | assert isinstance(m1.nested, list) |
| 79 | assert len(m1.nested) == 2 |
| 80 | assert m1.nested[0].foo == "bar" |
| 81 | assert m1.nested[1].foo == "2" |
| 82 | |
| 83 | m2 = NestedModel.construct(nested=None) |
| 84 | assert m2.nested is None |
| 85 | |
| 86 | # mismatched types |
| 87 | m3 = NestedModel.construct(nested={1}) |
| 88 | assert cast(Any, m3.nested) == {1} |
| 89 | |
| 90 | m4 = NestedModel.construct(nested=[False]) |
| 91 | assert cast(Any, m4.nested) == [False] |
| 92 | |
| 93 | |
| 94 | def test_list_optional_items_nested_model() -> None: |
| 95 | class NestedModel(BaseModel): |
| 96 | nested: List[Optional[BasicModel]] |
| 97 | |
| 98 | m = NestedModel.construct(nested=[None, {"foo": "bar"}]) |
| 99 | assert m.nested is not None |
| 100 | assert isinstance(m.nested, list) |
| 101 | assert len(m.nested) == 2 |
| 102 | assert m.nested[0] is None |
| 103 | assert m.nested[1] is not None |
| 104 | assert m.nested[1].foo == "bar" |
| 105 | |
| 106 | # mismatched types |
| 107 | m3 = NestedModel.construct(nested="foo") |
| 108 | assert cast(Any, m3.nested) == "foo" |
| 109 | |
| 110 | m4 = NestedModel.construct(nested=[False]) |
| 111 | assert cast(Any, m4.nested) == [False] |
| 112 | |
| 113 | |
| 114 | def test_list_mismatched_type() -> None: |
| 115 | class NestedModel(BaseModel): |
| 116 | nested: List[str] |
| 117 | |
| 118 | m = NestedModel.construct(nested=False) |
| 119 | assert cast(Any, m.nested) is False |
| 120 | |
| 121 | |
| 122 | def test_raw_dictionary() -> None: |
| 123 | class NestedModel(BaseModel): |
| 124 | nested: Dict[str, str] |
| 125 | |
| 126 | m = NestedModel.construct(nested={"hello": "world"}) |
| 127 | assert m.nested == {"hello": "world"} |
| 128 | |
| 129 | # mismatched types |
| 130 | m = NestedModel.construct(nested=False) |
| 131 | assert cast(Any, m.nested) is False |
| 132 | |
| 133 | |
| 134 | def test_nested_dictionary_model() -> None: |
| 135 | class NestedModel(BaseModel): |
| 136 | nested: Dict[str, BasicModel] |
| 137 | |
| 138 | m = NestedModel.construct(nested={"hello": {"foo": "bar"}}) |
| 139 | assert isinstance(m.nested, dict) |
| 140 | assert m.nested["hello"].foo == "bar" |
| 141 | |
| 142 | # mismatched types |
| 143 | m = NestedModel.construct(nested={"hello": False}) |
| 144 | assert cast(Any, m.nested["hello"]) is False |
| 145 | |
| 146 | |
| 147 | def test_unknown_fields() -> None: |
| 148 | m1 = BasicModel.construct(foo="foo", unknown=1) |
| 149 | assert m1.foo == "foo" |
| 150 | assert cast(Any, m1).unknown == 1 |
| 151 | |
| 152 | m2 = BasicModel.construct(foo="foo", unknown={"foo_bar": True}) |
| 153 | assert m2.foo == "foo" |
| 154 | assert cast(Any, m2).unknown == {"foo_bar": True} |
| 155 | |
| 156 | assert model_dump(m2) == {"foo": "foo", "unknown": {"foo_bar": True}} |
| 157 | |
| 158 | |
| 159 | def test_strict_validation_unknown_fields() -> None: |
| 160 | class Model(BaseModel): |
| 161 | foo: str |
| 162 | |
| 163 | model = parse_obj(Model, dict(foo="hello!", user="Robert")) |
| 164 | assert model.foo == "hello!" |
| 165 | assert cast(Any, model).user == "Robert" |
| 166 | |
| 167 | assert model_dump(model) == {"foo": "hello!", "user": "Robert"} |
| 168 | |
| 169 | |
| 170 | def test_aliases() -> None: |
| 171 | class Model(BaseModel): |
| 172 | my_field: int = Field(alias="myField") |
| 173 | |
| 174 | m = Model.construct(myField=1) |
| 175 | assert m.my_field == 1 |
| 176 | |
| 177 | # mismatched types |
| 178 | m = Model.construct(myField={"hello": False}) |
| 179 | assert cast(Any, m.my_field) == {"hello": False} |
| 180 | |
| 181 | |
| 182 | def test_repr() -> None: |
| 183 | model = BasicModel(foo="bar") |
| 184 | assert str(model) == "BasicModel(foo='bar')" |
| 185 | assert repr(model) == "BasicModel(foo='bar')" |
| 186 | |
| 187 | |
| 188 | def test_repr_nested_model() -> None: |
| 189 | class Child(BaseModel): |
| 190 | name: str |
| 191 | age: int |
| 192 | |
| 193 | class Parent(BaseModel): |
| 194 | name: str |
| 195 | child: Child |
| 196 | |
| 197 | model = Parent(name="Robert", child=Child(name="Foo", age=5)) |
| 198 | assert str(model) == "Parent(name='Robert', child=Child(name='Foo', age=5))" |
| 199 | assert repr(model) == "Parent(name='Robert', child=Child(name='Foo', age=5))" |
| 200 | |
| 201 | |
| 202 | def test_optional_list() -> None: |
| 203 | class Submodel(BaseModel): |
| 204 | name: str |
| 205 | |
| 206 | class Model(BaseModel): |
| 207 | items: Optional[List[Submodel]] |
| 208 | |
| 209 | m = Model.construct(items=None) |
| 210 | assert m.items is None |
| 211 | |
| 212 | m = Model.construct(items=[]) |
| 213 | assert m.items == [] |
| 214 | |
| 215 | m = Model.construct(items=[{"name": "Robert"}]) |
| 216 | assert m.items is not None |
| 217 | assert len(m.items) == 1 |
| 218 | assert m.items[0].name == "Robert" |
| 219 | |
| 220 | |
| 221 | def test_nested_union_of_models() -> None: |
| 222 | class Submodel1(BaseModel): |
| 223 | bar: bool |
| 224 | |
| 225 | class Submodel2(BaseModel): |
| 226 | thing: str |
| 227 | |
| 228 | class Model(BaseModel): |
| 229 | foo: Union[Submodel1, Submodel2] |
| 230 | |
| 231 | m = Model.construct(foo={"thing": "hello"}) |
| 232 | assert isinstance(m.foo, Submodel2) |
| 233 | assert m.foo.thing == "hello" |
| 234 | |
| 235 | |
| 236 | def test_nested_union_of_mixed_types() -> None: |
| 237 | class Submodel1(BaseModel): |
| 238 | bar: bool |
| 239 | |
| 240 | class Model(BaseModel): |
| 241 | foo: Union[Submodel1, Literal[True], Literal["CARD_HOLDER"]] |
| 242 | |
| 243 | m = Model.construct(foo=True) |
| 244 | assert m.foo is True |
| 245 | |
| 246 | m = Model.construct(foo="CARD_HOLDER") |
| 247 | assert m.foo is "CARD_HOLDER" |
| 248 | |
| 249 | m = Model.construct(foo={"bar": False}) |
| 250 | assert isinstance(m.foo, Submodel1) |
| 251 | assert m.foo.bar is False |
| 252 | |
| 253 | |
| 254 | def test_nested_union_multiple_variants() -> None: |
| 255 | class Submodel1(BaseModel): |
| 256 | bar: bool |
| 257 | |
| 258 | class Submodel2(BaseModel): |
| 259 | thing: str |
| 260 | |
| 261 | class Submodel3(BaseModel): |
| 262 | foo: int |
| 263 | |
| 264 | class Model(BaseModel): |
| 265 | foo: Union[Submodel1, Submodel2, None, Submodel3] |
| 266 | |
| 267 | m = Model.construct(foo={"thing": "hello"}) |
| 268 | assert isinstance(m.foo, Submodel2) |
| 269 | assert m.foo.thing == "hello" |
| 270 | |
| 271 | m = Model.construct(foo=None) |
| 272 | assert m.foo is None |
| 273 | |
| 274 | m = Model.construct() |
| 275 | assert m.foo is None |
| 276 | |
| 277 | m = Model.construct(foo={"foo": "1"}) |
| 278 | assert isinstance(m.foo, Submodel3) |
| 279 | assert m.foo.foo == 1 |
| 280 | |
| 281 | |
| 282 | def test_nested_union_invalid_data() -> None: |
| 283 | class Submodel1(BaseModel): |
| 284 | level: int |
| 285 | |
| 286 | class Submodel2(BaseModel): |
| 287 | name: str |
| 288 | |
| 289 | class Model(BaseModel): |
| 290 | foo: Union[Submodel1, Submodel2] |
| 291 | |
| 292 | m = Model.construct(foo=True) |
| 293 | assert cast(bool, m.foo) is True |
| 294 | |
| 295 | m = Model.construct(foo={"name": 3}) |
| 296 | if PYDANTIC_V2: |
| 297 | assert isinstance(m.foo, Submodel1) |
| 298 | assert m.foo.name == 3 # type: ignore |
| 299 | else: |
| 300 | assert isinstance(m.foo, Submodel2) |
| 301 | assert m.foo.name == "3" |
| 302 | |
| 303 | |
| 304 | def test_list_of_unions() -> None: |
| 305 | class Submodel1(BaseModel): |
| 306 | level: int |
| 307 | |
| 308 | class Submodel2(BaseModel): |
| 309 | name: str |
| 310 | |
| 311 | class Model(BaseModel): |
| 312 | items: List[Union[Submodel1, Submodel2]] |
| 313 | |
| 314 | m = Model.construct(items=[{"level": 1}, {"name": "Robert"}]) |
| 315 | assert len(m.items) == 2 |
| 316 | assert isinstance(m.items[0], Submodel1) |
| 317 | assert m.items[0].level == 1 |
| 318 | assert isinstance(m.items[1], Submodel2) |
| 319 | assert m.items[1].name == "Robert" |
| 320 | |
| 321 | m = Model.construct(items=[{"level": -1}, 156]) |
| 322 | assert len(m.items) == 2 |
| 323 | assert isinstance(m.items[0], Submodel1) |
| 324 | assert m.items[0].level == -1 |
| 325 | assert m.items[1] == 156 |
| 326 | |
| 327 | |
| 328 | def test_union_of_lists() -> None: |
| 329 | class SubModel1(BaseModel): |
| 330 | level: int |
| 331 | |
| 332 | class SubModel2(BaseModel): |
| 333 | name: str |
| 334 | |
| 335 | class Model(BaseModel): |
| 336 | items: Union[List[SubModel1], List[SubModel2]] |
| 337 | |
| 338 | # with one valid entry |
| 339 | m = Model.construct(items=[{"name": "Robert"}]) |
| 340 | assert len(m.items) == 1 |
| 341 | assert isinstance(m.items[0], SubModel2) |
| 342 | assert m.items[0].name == "Robert" |
| 343 | |
| 344 | # with two entries pointing to different types |
| 345 | m = Model.construct(items=[{"level": 1}, {"name": "Robert"}]) |
| 346 | assert len(m.items) == 2 |
| 347 | assert isinstance(m.items[0], SubModel1) |
| 348 | assert m.items[0].level == 1 |
| 349 | assert isinstance(m.items[1], SubModel1) |
| 350 | assert cast(Any, m.items[1]).name == "Robert" |
| 351 | |
| 352 | # with two entries pointing to *completely* different types |
| 353 | m = Model.construct(items=[{"level": -1}, 156]) |
| 354 | assert len(m.items) == 2 |
| 355 | assert isinstance(m.items[0], SubModel1) |
| 356 | assert m.items[0].level == -1 |
| 357 | assert m.items[1] == 156 |
| 358 | |
| 359 | |
| 360 | def test_dict_of_union() -> None: |
| 361 | class SubModel1(BaseModel): |
| 362 | name: str |
| 363 | |
| 364 | class SubModel2(BaseModel): |
| 365 | foo: str |
| 366 | |
| 367 | class Model(BaseModel): |
| 368 | data: Dict[str, Union[SubModel1, SubModel2]] |
| 369 | |
| 370 | m = Model.construct(data={"hello": {"name": "there"}, "foo": {"foo": "bar"}}) |
| 371 | assert len(list(m.data.keys())) == 2 |
| 372 | assert isinstance(m.data["hello"], SubModel1) |
| 373 | assert m.data["hello"].name == "there" |
| 374 | assert isinstance(m.data["foo"], SubModel2) |
| 375 | assert m.data["foo"].foo == "bar" |
| 376 | |
| 377 | # TODO: test mismatched type |
| 378 | |
| 379 | |
| 380 | def test_double_nested_union() -> None: |
| 381 | class SubModel1(BaseModel): |
| 382 | name: str |
| 383 | |
| 384 | class SubModel2(BaseModel): |
| 385 | bar: str |
| 386 | |
| 387 | class Model(BaseModel): |
| 388 | data: Dict[str, List[Union[SubModel1, SubModel2]]] |
| 389 | |
| 390 | m = Model.construct(data={"foo": [{"bar": "baz"}, {"name": "Robert"}]}) |
| 391 | assert len(m.data["foo"]) == 2 |
| 392 | |
| 393 | entry1 = m.data["foo"][0] |
| 394 | assert isinstance(entry1, SubModel2) |
| 395 | assert entry1.bar == "baz" |
| 396 | |
| 397 | entry2 = m.data["foo"][1] |
| 398 | assert isinstance(entry2, SubModel1) |
| 399 | assert entry2.name == "Robert" |
| 400 | |
| 401 | # TODO: test mismatched type |
| 402 | |
| 403 | |
| 404 | def test_union_of_dict() -> None: |
| 405 | class SubModel1(BaseModel): |
| 406 | name: str |
| 407 | |
| 408 | class SubModel2(BaseModel): |
| 409 | foo: str |
| 410 | |
| 411 | class Model(BaseModel): |
| 412 | data: Union[Dict[str, SubModel1], Dict[str, SubModel2]] |
| 413 | |
| 414 | m = Model.construct(data={"hello": {"name": "there"}, "foo": {"foo": "bar"}}) |
| 415 | assert len(list(m.data.keys())) == 2 |
| 416 | assert isinstance(m.data["hello"], SubModel1) |
| 417 | assert m.data["hello"].name == "there" |
| 418 | assert isinstance(m.data["foo"], SubModel1) |
| 419 | assert cast(Any, m.data["foo"]).foo == "bar" |
| 420 | |
| 421 | |
| 422 | def test_iso8601_datetime() -> None: |
| 423 | class Model(BaseModel): |
| 424 | created_at: datetime |
| 425 | |
| 426 | expected = datetime(2019, 12, 27, 18, 11, 19, 117000, tzinfo=timezone.utc) |
| 427 | |
| 428 | if PYDANTIC_V2: |
| 429 | expected_json = '{"created_at":"2019-12-27T18:11:19.117000Z"}' |
| 430 | else: |
| 431 | expected_json = '{"created_at": "2019-12-27T18:11:19.117000+00:00"}' |
| 432 | |
| 433 | model = Model.construct(created_at="2019-12-27T18:11:19.117Z") |
| 434 | assert model.created_at == expected |
| 435 | assert model_json(model) == expected_json |
| 436 | |
| 437 | model = parse_obj(Model, dict(created_at="2019-12-27T18:11:19.117Z")) |
| 438 | assert model.created_at == expected |
| 439 | assert model_json(model) == expected_json |
| 440 | |
| 441 | |
| 442 | def test_does_not_coerce_int() -> None: |
| 443 | class Model(BaseModel): |
| 444 | bar: int |
| 445 | |
| 446 | assert Model.construct(bar=1).bar == 1 |
| 447 | assert Model.construct(bar=10.9).bar == 10.9 |
| 448 | assert Model.construct(bar="19").bar == "19" # type: ignore[comparison-overlap] |
| 449 | assert Model.construct(bar=False).bar is False |
| 450 | |
| 451 | |
| 452 | def test_int_to_float_safe_conversion() -> None: |
| 453 | class Model(BaseModel): |
| 454 | float_field: float |
| 455 | |
| 456 | m = Model.construct(float_field=10) |
| 457 | assert m.float_field == 10.0 |
| 458 | assert isinstance(m.float_field, float) |
| 459 | |
| 460 | m = Model.construct(float_field=10.12) |
| 461 | assert m.float_field == 10.12 |
| 462 | assert isinstance(m.float_field, float) |
| 463 | |
| 464 | # number too big |
| 465 | m = Model.construct(float_field=2**53 + 1) |
| 466 | assert m.float_field == 2**53 + 1 |
| 467 | assert isinstance(m.float_field, int) |
| 468 | |
| 469 | |
| 470 | def test_deprecated_alias() -> None: |
| 471 | class Model(BaseModel): |
| 472 | resource_id: str = Field(alias="model_id") |
| 473 | |
| 474 | @property |
| 475 | def model_id(self) -> str: |
| 476 | return self.resource_id |
| 477 | |
| 478 | m = Model.construct(model_id="id") |
| 479 | assert m.model_id == "id" |
| 480 | assert m.resource_id == "id" |
| 481 | assert m.resource_id is m.model_id |
| 482 | |
| 483 | m = parse_obj(Model, {"model_id": "id"}) |
| 484 | assert m.model_id == "id" |
| 485 | assert m.resource_id == "id" |
| 486 | assert m.resource_id is m.model_id |
| 487 | |
| 488 | |
| 489 | def test_omitted_fields() -> None: |
| 490 | class Model(BaseModel): |
| 491 | resource_id: Optional[str] = None |
| 492 | |
| 493 | m = Model.construct() |
| 494 | assert "resource_id" not in m.model_fields_set |
| 495 | |
| 496 | m = Model.construct(resource_id=None) |
| 497 | assert "resource_id" in m.model_fields_set |
| 498 | |
| 499 | m = Model.construct(resource_id="foo") |
| 500 | assert "resource_id" in m.model_fields_set |
| 501 | |
| 502 | |
| 503 | def test_forwards_compat_model_dump_method() -> None: |
| 504 | class Model(BaseModel): |
| 505 | foo: Optional[str] = Field(alias="FOO", default=None) |
| 506 | |
| 507 | m = Model(FOO="hello") |
| 508 | assert m.model_dump() == {"foo": "hello"} |
| 509 | assert m.model_dump(include={"bar"}) == {} |
| 510 | assert m.model_dump(exclude={"foo"}) == {} |
| 511 | assert m.model_dump(by_alias=True) == {"FOO": "hello"} |
| 512 | |
| 513 | m2 = Model() |
| 514 | assert m2.model_dump() == {"foo": None} |
| 515 | assert m2.model_dump(exclude_unset=True) == {} |
| 516 | assert m2.model_dump(exclude_none=True) == {} |
| 517 | assert m2.model_dump(exclude_defaults=True) == {} |
| 518 | |
| 519 | m3 = Model(FOO=None) |
| 520 | assert m3.model_dump() == {"foo": None} |
| 521 | assert m3.model_dump(exclude_none=True) == {} |
| 522 | |
| 523 | if not PYDANTIC_V2: |
| 524 | with pytest.raises(ValueError, match="mode is only supported in Pydantic v2"): |
| 525 | m.model_dump(mode="json") |
| 526 | |
| 527 | with pytest.raises(ValueError, match="round_trip is only supported in Pydantic v2"): |
| 528 | m.model_dump(round_trip=True) |
| 529 | |
| 530 | with pytest.raises(ValueError, match="warnings is only supported in Pydantic v2"): |
| 531 | m.model_dump(warnings=False) |
| 532 | |
| 533 | |
| 534 | def test_forwards_compat_model_dump_json_method() -> None: |
| 535 | class Model(BaseModel): |
| 536 | foo: Optional[str] = Field(alias="FOO", default=None) |
| 537 | |
| 538 | m = Model(FOO="hello") |
| 539 | assert json.loads(m.model_dump_json()) == {"foo": "hello"} |
| 540 | assert json.loads(m.model_dump_json(include={"bar"})) == {} |
| 541 | assert json.loads(m.model_dump_json(include={"foo"})) == {"foo": "hello"} |
| 542 | assert json.loads(m.model_dump_json(by_alias=True)) == {"FOO": "hello"} |
| 543 | |
| 544 | assert m.model_dump_json(indent=2) == '{\n "foo": "hello"\n}' |
| 545 | |
| 546 | m2 = Model() |
| 547 | assert json.loads(m2.model_dump_json()) == {"foo": None} |
| 548 | assert json.loads(m2.model_dump_json(exclude_unset=True)) == {} |
| 549 | assert json.loads(m2.model_dump_json(exclude_none=True)) == {} |
| 550 | assert json.loads(m2.model_dump_json(exclude_defaults=True)) == {} |
| 551 | |
| 552 | m3 = Model(FOO=None) |
| 553 | assert json.loads(m3.model_dump_json()) == {"foo": None} |
| 554 | assert json.loads(m3.model_dump_json(exclude_none=True)) == {} |
| 555 | |
| 556 | if not PYDANTIC_V2: |
| 557 | with pytest.raises(ValueError, match="round_trip is only supported in Pydantic v2"): |
| 558 | m.model_dump_json(round_trip=True) |
| 559 | |
| 560 | with pytest.raises(ValueError, match="warnings is only supported in Pydantic v2"): |
| 561 | m.model_dump_json(warnings=False) |
| 562 | |
| 563 | |
| 564 | def test_type_compat() -> None: |
| 565 | # our model type can be assigned to Pydantic's model type |
| 566 | |
| 567 | def takes_pydantic(model: pydantic.BaseModel) -> None: # noqa: ARG001 |
| 568 | ... |
| 569 | |
| 570 | class OurModel(BaseModel): |
| 571 | foo: Optional[str] = None |
| 572 | |
| 573 | takes_pydantic(OurModel()) |
| 574 | |