from .utils import needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    app = FastAPI()

    from pydantic import BaseModel, computed_field

    class Rectangle(BaseModel):
        width: int
        length: int

        @computed_field
        @property
        def area(self) -> int:
            return self.width * self.length

    @app.get("/")
    def read_root() -> Rectangle:

```

## ⚙️ 🎏 🔗 💗 🕰

🚥 1️⃣ 👆 🔗 📣 💗 🕰 🎏 *➡ 🛠️*, 🖼, 💗 🔗 ✔️ ⚠ 🎧-🔗, **FastAPI** 🔜 💭 🤙 👈 🎧-🔗 🕴 🕐 📍 📨.

&amp; ⚫️ 🔜 🖊 📨 💲 <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"💾"</abbr> &amp; 🚶‍♀️ ⚫️ 🌐 "⚓️" 👈 💪 ⚫️ 👈 🎯 📨, ↩️ 🤙 🔗 💗 🕰 🎏 📨.

And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.

* Each application that you have running on your computer has some process behind it, each running program, each window, etc. And there are normally many processes running **at the same time** while a computer is on.
* There can be **multiple processes** of the **same program** running at the same time.

### About `{**note.dict(), "id": last_record_id}`

`note` is a Pydantic `Note` object.

`note.dict()` returns a `dict` with its data, something like:

```Python
{
    "text": "Some note",
    "completed": False,
}
```

but it doesn't have the `id` field.

So we create a new `dict`, that contains the key-value pairs from `note.dict()` with:

```Python
{**note.dict()}
```

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.

Die Benutzeroberfläche der Dokumentation würde benötigen, dass das OpenAPI-Schema deklariert, dass sich dieser API-`server` unter `/api/v1` (hinter dem Proxy) befindet. Zum Beispiel:

## 0.101.0

### Features

* ✨ Enable Pydantic's serialization mode for responses, add support for Pydantic's `computed_field`, better OpenAPI for response models, proper required attributes, better generated clients. PR [#10011](https://github.com/tiangolo/fastapi/pull/10011) by [@tiangolo](https://github.com/tiangolo).

### Refactors

                    },
                    "summary": "Compute",
                    "operationId": "compute_a_compute_post",
                    "requestBody": {
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/Body_compute_a_compute_post"
                                }

    with TestClient(app) as client:
        note = {"text": "Foo bar", "completed": False}
        response = client.post("/notes/", json=note)
        assert response.status_code == 200, response.text
        data = response.json()
        assert data["text"] == note["text"]
        assert data["completed"] == note["completed"]
        assert "id" in data
        response = client.get("/notes/")

### 关于 `{**note.dict(), "id": last_record_id}`

`note` 是 Pydantic `Note` 对象：

`note.dict()` 返回包含如下数据的**字典**：

```Python
{
    "text": "Some note",
    "completed": False,
}
```

但它不包含 `id` 字段。

因此要新建一个包含 `note.dict()` 键值对的**字典**：

```Python
{**note.dict()}
```

`**note.dict()` 直接**解包**键值对， 因此，`{**note.dict()}` 是 `note.dict()` 的副本。