app = FastAPI()


@app.post("/files/")
async def create_file(
    file: Annotated[bytes, File()],
    fileb: Annotated[UploadFile, File()],
    token: Annotated[str, Form()],
):
    return {
        "file_size": len(file),
        "token": token,
        "fileb_content_type": fileb.content_type,

        with:
          limit-access-to-actor: true
      - uses: docker://tiangolo/latest-changes:0.3.0
      # - uses: tiangolo/latest-changes@main
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          latest_changes_file: docs/en/docs/release-notes.md
          latest_changes_header: '## Latest Changes'
          end_regex: '^## '
          debug_logs: true

            bool,
            Doc(
                """
                By default, if the HTTP Bearer token not provided (in an
                `Authorization` header), `HTTPBearer` will automatically cancel the
                request and send the client an error.

                If `auto_error` is set to `False`, when the HTTP Bearer token
                is not available, instead of erroring out, the dependency result will

def test_app():
    test_main.test_create_existing_item()
    test_main.test_create_item()
    test_main.test_create_item_bad_token()
    test_main.test_read_nonexistent_item()
    test_main.test_read_item()

from fastapi import FastAPI, Security
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from fastapi.testclient import TestClient

app = FastAPI()

security = HTTPBearer(description="HTTP Bearer token scheme")


@app.get("/users/me")
def read_current_user(credentials: HTTPAuthorizationCredentials = Security(security)):
    return {"scheme": credentials.scheme, "credentials": credentials.credentials}

# Get Current User

In the previous chapter the security system (which is based on the dependency injection system) was giving the *path operation function* a `token` as a `str`:

=== "Python 3.9+"

    ```Python hl_lines="12"
    {!> ../../../docs_src/security/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="11"
    {!> ../../../docs_src/security/tutorial001_an.py!}
    ```

=== "Python 3.8+ non-Annotated"

    """
    OAuth2 flow for authentication using a bearer token obtained with an OAuth2 code
    flow. An instance of it would be used as a dependency.
    """

    def __init__(
        self,
        authorizationUrl: str,
        tokenUrl: Annotated[
            str,
            Doc(
                """
                The URL to obtain the OAuth2 token.
                """
            ),
        ],

  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    permissions:
      id-token: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      - name: Set up Python

# 获取当前用户

上一章中，（基于依赖注入系统的）安全系统向*路径操作函数*传递了 `str` 类型的 `token`：

```Python hl_lines="10"
{!../../../docs_src/security/tutorial001.py!}
```

但这并不实用。

接下来，我们学习如何返回当前用户。


## 创建用户模型

首先，创建 Pydantic 用户模型。

与使用 Pydantic 声明请求体相同，并且可在任何位置使用：

```Python hl_lines="5  12-16"
{!../../../docs_src/security/tutorial002.py!}
```

## 创建 `get_current_user` 依赖项

创建 `get_current_user` 依赖项。

还记得依赖项支持子依赖项吗？

Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).

Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.

Die Hierarchie ist wie folgt:

* **Uvicorn**: ein ASGI-Server
    * **Starlette**: (verwendet Uvicorn) ein Web-Mikroframework