## 🏃 ❓

<abbr title="too long; didn't read"><strong>🆑;👩‍⚕️:</strong></abbr>

🚥 👆 ⚙️ 🥉 🥳 🗃 👈 💬 👆 🤙 👫 ⏮️ `await`, 💖:

```Python
results = await some_library()
```

⤴️, 📣 👆 *➡ 🛠️ 🔢* ⏮️ `async def` 💖:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

# `FastAPI` class

Here's the reference information for the `FastAPI` class, with all its parameters, attributes and methods.

You can import the `FastAPI` class directly from `fastapi`:

```python
from fastapi import FastAPI
```

::: fastapi.FastAPI
    options:
        members:
            - openapi_version
            - webhooks
            - state
            - dependency_overrides
            - openapi

You can import it directly from `fastapi`:

```python
from fastapi import BackgroundTasks
```

      advanced/extending-openapi.md: how-to/extending-openapi.md
      advanced/testing-database.md: how-to/testing-database.md
  mkdocstrings:
    handlers:
      python:
        options:
          extensions:
          - griffe_typingdoc
          show_root_heading: true
          show_if_no_docstring: true
          preload_modules:
          - httpx
          - starlette

But we want to be able to parameterize that fixed content.

## A "callable" instance { #a-callable-instance }

In Python there's a way to make an instance of a class a "callable".

Not the class itself (which is already a callable), but an instance of that class.

To do that, we declare a method `__call__`:

<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

 ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
 │                      │
 │  🐍 main.py          │
 │                      │
 ╰──────────────────────╯

<font color="#3465A4">INFO    </font> Importing module <font color="#4E9A06">main</font>

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note | Hinweis

Der Befehl `uvicorn main:app` bezieht sich auf:

* `main`: die Datei `main.py` (das sogenannte Python-„Modul“).
* `app`: das Objekt, welches in der Datei `main.py` mit der Zeile `app = FastAPI()` erzeugt wurde.
* `--reload`: lässt den Server nach Codeänderungen neu starten. Verwenden Sie das nur während der Entwicklung.

///

You can also use it directly to create an instance of it and return it from your *path operations*.

You can import it directly from `fastapi`:

```python
from fastapi import Response
```

You can import them from `fastapi.security`:

```python
from fastapi.security import (
    APIKeyCookie,
    APIKeyHeader,
    APIKeyQuery,
    HTTPAuthorizationCredentials,
    HTTPBasic,
    HTTPBasicCredentials,
    HTTPBearer,
    HTTPDigest,
    OAuth2,