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docs/en/docs/tutorial/security/get-current-user.md
Here **FastAPI** won't get confused because you are using `Depends`. !!! check The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model. We are not restricted to having only one dependency that can return that type of data. ## Other models
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fastapi/security/http.py
import binascii from base64 import b64decode from typing import Optional from fastapi.exceptions import HTTPException from fastapi.openapi.models import HTTPBase as HTTPBaseModel from fastapi.openapi.models import HTTPBearer as HTTPBearerModel from fastapi.security.base import SecurityBase from fastapi.security.utils import get_authorization_scheme_param from pydantic import BaseModel from starlette.requests import Request
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Apr 19 15:29:38 GMT 2024 - 13.2K bytes - Viewed (0) -
tests/test_tutorial/test_extra_models/test_tutorial003_py310.py
import pytest from dirty_equals import IsOneOf from fastapi.testclient import TestClient from ...utils import needs_py310 @pytest.fixture(name="client") def get_client(): from docs_src.extra_models.tutorial003_py310 import app client = TestClient(app) return client @needs_py310 def test_get_car(client: TestClient): response = client.get("/items/item1") assert response.status_code == 200, response.text
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Aug 04 20:47:07 GMT 2023 - 5.3K bytes - Viewed (0) -
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+"
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docs/en/docs/advanced/testing-database.md
So the new file structure looks like: ``` hl_lines="9-11" . └── sql_app ├── __init__.py ├── crud.py ├── database.py ├── main.py ├── models.py ├── schemas.py └── tests ├── __init__.py └── test_sql_app.py ``` ## Create the new database session First, we create a new database session with the new database.
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docs/zh/docs/tutorial/body-updates.md
但本节以 `PATCH` 为例的原因是,该操作就是为了这种用例创建的。 !!! note "笔记" 注意,输入模型仍需验证。 因此,如果希望接收的部分更新数据可以省略其他所有属性,则要把模型中所有的属性标记为可选(使用默认值或 `None`)。
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fastapi/security/oauth2.py
from typing import Any, Dict, List, Optional, Union, cast from fastapi.exceptions import HTTPException from fastapi.openapi.models import OAuth2 as OAuth2Model from fastapi.openapi.models import OAuthFlows as OAuthFlowsModel from fastapi.param_functions import Form from fastapi.security.base import SecurityBase from fastapi.security.utils import get_authorization_scheme_param from starlette.requests import Request
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) -
docs/en/docs/tutorial/first-steps.md
```Python hl_lines="8" {!../../../docs_src/first_steps/tutorial001.py!} ``` You can return a `dict`, `list`, singular values as `str`, `int`, etc. You can also return Pydantic models (you'll see more about that later). There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported. ## Recap * Import `FastAPI`.
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fastapi/utils.py
*, cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None, ) -> ModelField: if PYDANTIC_V2: return field # cloned_types caches already cloned types to support recursive models and improve # performance by avoiding unnecessary cloning if cloned_types is None: cloned_types = _CLONED_TYPES_CACHE original_type = field.type_
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docs/en/docs/tutorial/testing.md
!!! info Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models. If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.
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