Чтобы узнать больше, посмотрите <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/" class="external-link" target="_blank">документацию Pydantic о dataclasses</a>.

## Версия { #version }

    byte[] expectedBytes = buf.clone();
    System.arraycopy(testBytes, 0, expectedBytes, 0, testBytes.length);

    HashingInputStream in = new HashingInputStream(hashFunction, buffer);

    int numOfByteRead = in.read(buf, 0, 100);
    assertEquals(4, numOfByteRead);
    for (int i = 0; i < numOfByteRead; i++) {
      assertEquals(testBytes[i], buf[i]);
    }

    verify(hasher).putBytes(expectedBytes, 0, 4);

## `fastapi run` { #fastapi-run }

Das Ausführen von `fastapi run` startet FastAPI standardmäßig im Produktionsmodus.

Standardmäßig ist **Autoreload** deaktiviert. Es horcht auch auf der IP-Adresse `0.0.0.0`, was alle verfügbaren IP-Adressen bedeutet, so wird es öffentlich zugänglich für jeden, der mit der Maschine kommunizieren kann. So würden Sie es normalerweise in der Produktion ausführen, beispielsweise in einem Container.

## `fastapi run` { #fastapi-run }

Executing `fastapi run` starts FastAPI in production mode by default.

By default, **auto-reload** is disabled. It also listens on the IP address `0.0.0.0`, which means all the available IP addresses, this way it will be publicly accessible to anyone that can communicate with the machine. This is how you would normally run it in production, for example, in a container.

graph LR

browser("Browser")
proxy["Proxy auf http://0.0.0.0:9999/api/v1/app"]
server["Server auf http://127.0.0.1:8000/app"]

browser --> proxy
proxy --> server
```

/// tip | Tipp

Die IP `0.0.0.0` wird üblicherweise verwendet, um anzudeuten, dass das Programm alle auf diesem Computer/Server verfügbaren IPs abhört.

///

    void testArrayBounds() {
        byte[] src = new byte[100];
        byte[] dst = new byte[100];

        assertDoesNotThrow(() -> InputValidator.validateArrayBounds(src, 0, dst, 0, 100));
        assertDoesNotThrow(() -> InputValidator.validateArrayBounds(src, 50, dst, 50, 50));

        assertThrows(IllegalArgumentException.class, () -> InputValidator.validateArrayBounds(null, 0, dst, 0, 10));

 appearance: none;\n}\n\n.custom-range:focus {\n  outline: 0;\n}\n\n.custom-range:focus::-webkit-slider-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.2rem rgba(0, 123, 255, 0.25);\n}\n\n.custom-range:focus::-moz-range-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.2rem rgba(0, 123, 255, 0.25);\n}\n\n.custom-range:focus::-ms-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.2rem rgba(0, 123, 255, 0.25);\n}\n\n.custom-range::-moz-focus-outer {\n  border: 0;\n}\n\n.custom-range::-webkit-slider-thumb {\n...

        ```Python
        import uvicorn.workers.UvicornWorker
        ```

* `--bind`: 구니콘이 관찰할 IP와 포트를 의미합니다. 콜론 (`:`)을 사용하여 IP와 포트를 구분합니다.
    * 만약에 `--bind 0.0.0.0:80` (구니콘 옵션) 대신 유비콘을 직접 실행하고 싶다면 `--host 0.0.0.0`과 `--port 80`을 사용해야 합니다.

출력에서 각 프로세스에 대한 **PID** (process ID)를 확인할 수 있습니다. (단순한 숫자입니다)

출력 내용:

* 구니콘 **프로세스 매니저**는 PID `19499`로 실행됩니다. (직접 실행할 경우 숫자가 다를 수 있습니다)

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.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

```

</div>

////

//// tab | `uvicorn`

Si prefieres usar el comando `uvicorn` directamente:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4
<font color="#A6E22E">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit)
<font color="#A6E22E">INFO</font>:     Started parent process [<font color="#A1EFE4"><b>27365</b></font>]