assert state["context_a"] == "finished a"


def test_background_tasks():
    response = client.get("/context_b_bg")
    data = response.json()
    assert data["context_b"] == "started b"
    assert data["context_a"] == "started a"
    assert data["bg"] == "not set"
    middleware_state = json.loads(response.headers["x-state"])
    assert middleware_state["context_b"] == "finished b with a: started a"

    data = {"username": username, "password": password}
    if scope:
        data["scope"] = scope
    response = client.post("/token", data=data)
    content = response.json()
    access_token = content.get("access_token")
    return access_token


def test_login():
    response = client.post("/token", data={"username": "johndoe", "password": "secret"})

client = TestClient(app)


def test_get_users():
    """Check that /users returns expected data"""
    response = client.get("/users")
    assert response.status_code == 200, response.text
    assert response.json() == [{"user_id": "u1"}, {"user_id": "u2"}]


def test_get_user():
    """Check that /users/{user_id} returns expected data"""
    response = client.get("/users/abc123")
    assert response.status_code == 200, response.text

    if oauth_header is None:
        return None
    user = User(username=oauth_header)
    return user


@app.post("/login")
def login(form_data: OAuth2PasswordRequestFormStrict = Depends()):
    return form_data


@app.get("/users/me")
def read_users_me(current_user: Optional[User] = Depends(get_current_user)):
    if current_user is None:
        return {"msg": "Create an account first"}

    ```Python hl_lines="3  77-79"
    {!> ../../../docs_src/security/tutorial003.py!}
    ```

### Check the password

At this point we have the user data from our database, but we haven't checked the password.

Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

```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` یعنی:

    کلید ها و مقادیر دیکشنری `second_user_data` را مستقیما به عنوان ارگومان های key-value بفرست، که معادل است با : `User(id=4, name="Mary", joined="2018-11-30")`

* **Kodlaması Hızlı**: Geliştirme hızını yaklaşık %200 ile %300 aralığında arttırır. *
* **Daha az hata**: İnsan (geliştirici) kaynaklı hataları yaklaşık %40 azaltır. *
* **Sezgisel**: Muhteşem bir editör desteği. Her yerde <abbr title="Otomatik Tamamlama: auto-complete, autocompletion, IntelliSense">otomatik tamamlama</abbr>. Hata ayıklama ile daha az zaman harcayacaksınız.

## Create the database models

Let's now see the file `sql_app/models.py`.

### Create Peewee models for our data

Now create the Peewee models (classes) for `User` and `Item`.

This is the same you would do if you followed the Peewee tutorial and updated the models to have the same data as in the SQLAlchemy tutorial.

!!! tip

                    </mxGeometry>
                </mxCell>

  - author: Farhad Malik
    author_link: https://medium.com/@farhadmalik
    link: https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0
    title: Build And Host Fast Data Science Applications Using FastAPI
  - author: Navule Pavan Kumar Rao
    author_link: https://www.linkedin.com/in/navule/
    link: https://www.tutlinks.com/deploy-fastapi-on-azure/