FastAPI викликатиме її щоразу, коли отримає запит до URL із шляхом "/", використовуючи операцію `GET`.

У даному випадку це асинхронна функція.

---

Ви також можете визначити її як звичайну функцію замість `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | "Примітка"

    }

    private static String getMessage(Throwable error, String def) {
        if (error == null) {
            return def;
        }
        String msg = error.getMessage();
        if (msg != null && !msg.isEmpty()) {
            return msg;
        }
        return getMessage(error.getCause(), def);
    }

    private ArtifactRepositoryLayout getLayout(String id) {

Bu fonksiyon bir `GET` işlemi kullanılarak "`/`" bağlantısına bir istek geldiğinde **FastAPI** tarafından çağrılır.

Bu durumda bu fonksiyon bir `async` fonksiyondur.

---

Bu fonksiyonu `async def` yerine normal bir fonksiyon olarak da tanımlayabilirsiniz.

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | "Not"

{!../../docs_src/first_steps/tutorial001.py!}
```

这是一个 Python 函数。

每当 **FastAPI** 接收一个使用 `GET` 方法访问 URL「`/`」的请求时这个函数会被调用。

在这个例子中，它是一个 `async` 函数。

---

你也可以将其定义为常规函数而不使用 `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note

如果你不知道两者的区别，请查阅 [Async: *"In a hurry?"*](https://fastapi.tiangolo.com/async/#in-a-hurry){.internal-link target=_blank}。

Trong trường hợp này, nó là một hàm `async`.

---

Bạn cũng có thể định nghĩa nó như là một hàm thông thường thay cho `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note

In diesem Fall handelt es sich um eine `async`-Funktion.

---

Sie könnten sie auch als normale Funktion anstelle von `async def` definieren:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | "Hinweis"

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void TestRemoteExecute(bool async) {
  tensorflow::ServerDef server_def = GetServerDef(2);

  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);

  std::unique_ptr<tensorflow::GrpcServer> worker_server;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

```Python
Settings()
```

a new `Settings` object would be created, and at creation it would read the `.env` file again.

If the dependency function was just like:

```Python
def get_settings():
    return Settings()
```

we would create that object for each request, and we would be reading the `.env` file for each request. ⚠️

     *
     * @param data the report data containing a description to parse
     * @return accepted api changes reported upon, as a file
     */
    private static File getAcceptedApiChangesFile(RichReportData data) {
        def matcher = data.description =~ acceptedChangesRegex
        return new File(matcher[0][1])
    }

    private static RichReportData enrichReport(RichReportData data) {

It will be called by **FastAPI** whenever it receives a request to the URL "`/`" using a `GET` operation.

In this case, it is an `async` function.

---

You could also define it as a normal function instead of `async def`:

{* ../../docs_src/first_steps/tutorial003.py hl[7] *}

/// note

If you don't know the difference, check the [Async: *"In a hurry?"*](../async.md#in-a-hurry){.internal-link target=_blank}.

///