- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 181 for field1 (0.27 sec)
-
docs/en/docs/tutorial/body-fields.md
# Body - Fields The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`. ## Import `Field` First, you have to import it: === "Python 3.10+" ```Python hl_lines="4" {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!} ``` === "Python 3.9+"
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 17 05:59:11 GMT 2023 - 3.6K bytes - Viewed (0) -
docs/zh/docs/tutorial/body-fields.md
与在*路径操作函数*中使用 `Query`、`Path` 、`Body` 声明校验与元数据的方式一样,可以使用 Pydantic 的 `Field` 在 Pydantic 模型内部声明校验和元数据。 ## 导入 `Field` 首先,从 Pydantic 中导入 `Field`: === "Python 3.10+" ```Python hl_lines="4" {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="4" {!> ../../../docs_src/body_fields/tutorial001_an_py39.py!} ``` === "Python 3.8+"
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Mon Apr 01 05:35:27 GMT 2024 - 3K bytes - Viewed (0) -
docs/pt/docs/tutorial/body-fields.md
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Jul 02 15:00:11 GMT 2021 - 2.2K bytes - Viewed (0) -
tests/test_computed_fields.py
from .utils import needs_pydanticv2 @pytest.fixture(name="client") def get_client(): app = FastAPI() from pydantic import BaseModel, computed_field class Rectangle(BaseModel): width: int length: int @computed_field @property def area(self) -> int: return self.width * self.length @app.get("/") def read_root() -> Rectangle:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Aug 04 20:47:07 GMT 2023 - 2.2K bytes - Viewed (0) -
fastapi/utils.py
new_field.default = field.default # type: ignore[misc] new_field.required = field.required # type: ignore[misc] new_field.model_config = field.model_config # type: ignore[attr-defined] new_field.field_info = field.field_info new_field.allow_none = field.allow_none # type: ignore[attr-defined] new_field.validate_always = field.validate_always # type: ignore[attr-defined]
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
fastapi/param_functions.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 62.5K bytes - Viewed (0) -
tests/test_tutorial/test_body/test_tutorial001_py310.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 15K bytes - Viewed (2) -
tests/test_tutorial/test_body/test_tutorial001.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 14.7K bytes - Viewed (7) -
fastapi/security/oauth2.py
fields `username` and `password`. All the initialization parameters are extracted from the request. The only difference between `OAuth2PasswordRequestFormStrict` and `OAuth2PasswordRequestForm` is that `OAuth2PasswordRequestFormStrict` requires the client to send the form field `grant_type` with the value `"password"`, which
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 02 02:48:51 GMT 2024 - 21.1K bytes - Viewed (1) -
tests/test_compat.py
from pydantic import BaseConfig, BaseModel, ConfigDict from pydantic.fields import FieldInfo from .utils import needs_pydanticv1, needs_pydanticv2 @needs_pydanticv2 def test_model_field_default_required(): # For coverage field_info = FieldInfo(annotation=str) field = ModelField(name="foo", field_info=field_info) assert field.default is Undefined @needs_pydanticv1
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Sep 28 04:14:40 GMT 2023 - 2.8K bytes - Viewed (0)