## Abhängigkeiten installieren

Installieren Sie `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Verwendung von `Jinja2Templates`

* Importieren Sie `Jinja2Templates`.
* Erstellen Sie ein `templates`-Objekt, das Sie später wiederverwenden können.

{* ../../docs_src/security/tutorial001.py *}

## 🏃 ⚫️

/// info

🥇 ❎ <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

🤶 Ⓜ. `pip install python-multipart`.

👉 ↩️ **Oauth2️⃣** ⚙️ "📨 📊" 📨 `username` &amp; `password`.

///

🏃 🖼 ⏮️:

<div class="termy">

```console
$ uvicorn main:app --reload

You probably won't need to use it directly in your code.

But in case you needed it for an advanced scenario, you can add custom headers:

{* ../../docs_src/handling_errors/tutorial002.py hl[14] *}

## Install custom exception handlers { #install-custom-exception-handlers }

You can add custom exception handlers with <a href="https://www.starlette.io/exceptions/" class="external-link" target="_blank">the same exception utilities from Starlette</a>.

Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager
Install Prometheus AlertManager from https://prometheus.io/download/ and create configuration as below

```yaml
route:
  group_by: ['alertname']
  group_wait: 30s
  group_interval: 5m
  repeat_interval: 1h

    Play Services security provider.


## Version 2.7.4

_2016-02-07_

 *  Fix: Don't crash when finding the trust manager if the Play Services (GMS)
    security provider is installed.
 *  Fix: The previous release introduced a performance regression on Android,
    caused by looking up CA certificates. This is now fixed.


## Version 2.7.3

_2016-02-06_

& ⤴️ 🐁-🔗 **Uvicorn 👨‍🏭** 🎓 🔜 🈚 🏭 📊 📨 🐁 🔫 🐩 FastAPI ⚙️ ⚫️.

## ❎ 🐁 & Uvicorn

<div class="termy">

```console
$ pip install "uvicorn[standard]" gunicorn

---> 100%
```

</div>

👈 🔜 ❎ 👯‍♂️ Uvicorn ⏮️ `standard` ➕ 📦 (🤚 ↕ 🎭) &amp; 🐁.

## 🏃 🐁 ⏮️ Uvicorn 👨‍🏭

⤴️ 👆 💪 🏃 🐁 ⏮️:

<div class="termy">

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.

      --with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \
      --with-tune="generic" \
      && \
    make -j 42 && \
    make install


# Create the devtoolset libstdc++ linkerscript that links dynamically against
# the system libstdc++ 4.4 and provides all other symbols statically.
case "${VERSION}" in
devtoolset-7)

```

////

//// tab | Python 3.8+

In Versionen unter Python 3.9 importieren Sie `Annotated` von `typing_extensions`.

Es wird bereits mit FastAPI installiert sein.

```Python hl_lines="3-4"
{!> ../../docs_src/query_params_str_validations/tutorial002_an.py!}
```

////

/// info

* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> per le parti dei dati.

## Installazione

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>