Je disais que je n'aimais pas trop l'histoire ... et me voilà maintenant à donner des leçons d'« tech history ». 😅

        assertTrue("Valid path in subdirectory should be allowed", result);
    }

    @Test
    public void test_isValidUploadPath_pathTraversal_simple() throws Exception {
        // Test simple path traversal attack
        File baseDir = new File(tempDir.toFile(), "images");
        baseDir.mkdirs();
        File maliciousFile = new File(baseDir, "../../../etc/passwd");

prenant vous-même en charge les autres concepts de déploiement.

Consultez le prochain chapitre pour en savoir plus sur **FastAPI** avec des conteneurs (par exemple Docker et Kubernetes). Vous verrez que ces outils offrent aussi des moyens simples de résoudre les autres **concepts de déploiement**. ✨...

///

## Recapitulação { #recap }

Com **FastAPI** você tem a flexibilidade máxima fornecida pelos modelos Pydantic, enquanto seu código é mantido simples, curto e elegante.

Mas com todos os benefícios:

* Suporte do editor (preenchimento automático em todo canto!)
* Conversão de dados (parsing/serialização)
* Validação de dados
* Documentação dos esquemas

<img src="/img/deployment/https/https05.drawio.svg">

### Response HTTP { #http-response }

La aplicación procesaría el request y enviaría un **response HTTP simple (sin encriptar)** al TLS Termination Proxy.

    Iterable<String> letters = Splitter.fixedLength(1).limit(100).split(simple);
    assertThat(letters).containsExactly("a", "b", "c", "d").inOrder();
  }

  public void testLimitOne() {
    String simple = "abcd";
    Iterable<String> letters = Splitter.fixedLength(1).limit(1).split(simple);
    assertThat(letters).containsExactly("abcd").inOrder();
  }

  public void testLimitFixedLength() {

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

```

</div>

## Create a Virtual Environment { #create-a-virtual-environment }

When you start working on a Python project **for the first time**, create a virtual environment **<dfn title="there are other options, this is a simple guideline">inside your project</dfn>**.

/// tip

You only need to do this **once per project**, not every time you work.

///

//// tab | `venv`

### Response Elements

XML response for this API is similar to [AWS STS AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html#API_AssumeRoleWithWebIdentity_ResponseElements)

### Errors

    assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"'


def test_security_http_basic_invalid_credentials():
    response = client.get(
        "/users/me", headers={"Authorization": "Basic notabase64token"}
    )
    assert response.status_code == 401, response.text
    assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"'
    assert response.json() == {"detail": "Not authenticated"}