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"

Por exemplo, dentro de uma função de *operação de rota* `assíncrona`, você pode obter o conteúdo com:

```Python
contents = await myfile.read()
```

Se você estiver dentro de uma função de *operação de rota* normal `def`, você pode acessar o `UploadFile.file` diretamente, por exemplo:

```Python
contents = myfile.file.read()
```

/// note | Detalhes Técnicos do `async`

#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()
```

🆕 `Settings` 🎚 🔜 ✍, & 🏗 ⚫️ 🔜 ✍ `.env` 📁 🔄.

🚥 🔗 🔢 💖:

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

👥 🔜 ✍ 👈 🎚 🔠 📨, & 👥 🔜 👂 `.env` 📁 🔠 📨. 👶 👶

✋️ 👥 ⚙️ `@lru_cache` 👨‍🎨 🔛 🔝, `Settings` 🎚 🔜 ✍ 🕴 🕐, 🥇 🕰 ⚫️ 🤙. 👶 👶

```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. ⚠️

在高级使用场景中，如果不想使用「缓存」值，而是为需要在同一请求的每一步操作（多次）中都实际调用依赖项，可以把 `Depends` 的参数 `use_cache` 的值设置为 `False` :

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

## 小结

千万别被本章里这些花里胡哨的词藻吓倒了，其实**依赖注入**系统非常简单。

依赖注入无非是与*路径操作函数*一样的函数罢了。

     *
     * @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) {

    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isCheckColumnDefOrderDiff: (NotRequired - Default false)
    #  Does it check differences of column-def order?
    #  (except added or deleted columns)
    #
    #; isCheckColumnDefOrderDiff = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

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}.

///