* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* usw.

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "Hinweis"

与指定响应模型的方式相同，在以下任意*路径操作*中，可以使用 `status_code` 参数声明用于响应的 HTTP 状态码：

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 等……

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "笔记"

    注意，`status_code` 是（`get`、`post` 等）**装饰器**方法中的参数。与之前的参数和请求体不同，不是*路径操作函数*的参数。

`status_code` 参数接收表示 HTTP 状态码的数字。

!!! info "说明"

Anschließend können Sie den `status_code` in diesem *vorübergehenden* Response-Objekt festlegen.

```Python hl_lines="1  9  12"
{!../../../docs_src/response_change_status_code/tutorial001.py!}
```

Und dann können Sie wie gewohnt jedes benötigte Objekt zurückgeben (ein `dict`, ein Datenbankmodell usw.).

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - per la validazione di email.

Usate da Starlette:

* <a href="http://docs.python-requests.org" target="_blank"><code>requests</code></a> - Richiesto se vuoi usare il `TestClient`.
* <a href="https://github.com/Tinche/aiofiles" target="_blank"><code>aiofiles</code></a> - Richiesto se vuoi usare `FileResponse` o `StaticFiles`.

| `contact` | `dict` | 📧 ℹ 🎦 🛠️. ⚫️ 💪 🔌 📚 🏑. <details><summary><code>contact</code> 🏑</summary><table><thead><tr><th>🔢</th><th>🆎</th><th>📛</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td>⚖ 📛 📧 👨‍💼/🏢.</td></tr><tr><td><code>url</code></td><td><code>str</code></td><td>📛 ☝ 📧 ℹ. 🔜 📁 📛.</td></tr><tr><td><code>email</code></td><td><code>str</code></td><td>📧 📢 📧 👨‍💼/🏢. 🔜 📁 📧 📢. </td></tr></tbody></table></details> |

    assert response.status_code == 200
    assert response.json() == "foo bar"


def test_query_param_query_50():
    response = client.get("/query/param?query=50")
    assert response.status_code == 200
    assert response.json() == "foo bar 50"


def test_query_param_required():
    response = client.get("/query/param-required")
    assert response.status_code == 422
    assert response.json() == IsDict(

    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


@needs_py310
def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})
    assert response.status_code == 200
    assert response.json() == {

    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - dla walidacji adresów email.

Używane przez Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Wymagane jeżeli chcesz korzystać z `TestClient`.
* <a href="https://github.com/Tinche/aiofiles" target="_blank"><code>aiofiles</code></a> - Wymagane jeżeli chcesz korzystać z `FileResponse` albo `StaticFiles`.

    * Will have the best performance, as it doesn't have much extra code apart from the server itself.
    * You wouldn't write an application in Uvicorn directly. That would mean that your code would have to include more or less, at least, all the code provided by Starlette (or **FastAPI**). And if you did that, your final application would have the same overhead as having used a framework and minimizing your app code and bugs.