return client


def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

            ],
            "body": {"title": "towel", "size": "XL"},
        }
    )


def test_post():
    data = {"title": "towel", "size": 5}
    response = client.post("/items/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

* To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`.
* If you need to send *Form Data* instead of JSON, use the `data` parameter instead.
* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.

        "description": None,
        "price": 50.5,
        "tax": None,
    }


@needs_py310
def test_wrong_headers(client: TestClient):
    data = '{"name": "Foo", "price": 50.5}'
    response = client.post(
        "/items/", content=data, headers={"Content-Type": "text/plain"}
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

        "name": "Foo",
        "description": None,
        "price": 50.5,
        "tax": None,
    }


def test_wrong_headers(client: TestClient):
    data = '{"name": "Foo", "price": 50.5}'
    response = client.post(
        "/items/", content=data, headers={"Content-Type": "text/plain"}
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` nghĩa là:

    Truyền các khóa và giá trị của dict `second_user_data` trực tiếp như các tham số kiểu key-value, tương đương với: `User(id=4, name="Mary", joined="2018-11-30")`

## Other models

You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`.

And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).

But you are not restricted to using some specific data model, class or type.

`UploadFile` ✔️ 📄 `async` 👩‍🔬. 👫 🌐 🤙 🔗 📁 👩‍🔬 🔘 (⚙️ 🔗 `SpooledTemporaryFile`).

* `write(data)`: ✍ `data` (`str` ⚖️ `bytes`) 📁.
* `read(size)`: ✍ `size` (`int`) 🔢/🦹 📁.
* `seek(offset)`: 🚶 🔢 🧘 `offset` (`int`) 📁.
    * 🤶 Ⓜ., `await myfile.seek(0)` 🔜 🚶 ▶️ 📁.

`UploadFile` 에는 다음의 `async` 메소드들이 있습니다. 이들은 내부적인 `SpooledTemporaryFile` 을 사용하여 해당하는 파일 메소드를 호출합니다.

* `write(data)`: `data`(`str` 또는 `bytes`)를 파일에 작성합니다.
* `read(size)`: 파일의 바이트 및 글자의 `size`(`int`)를 읽습니다.
* `seek(offset)`: 파일 내 `offset`(`int`) 위치의 바이트로 이동합니다.
    * 예) `await myfile.seek(0)` 를 사용하면 파일의 시작부분으로 이동합니다.