## Необязательные зависимости

Используется Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - для проверки электронной почты.

Используется Starlette:

    ```

!!! info
    ⚙️ `EmailStr`, 🥇 ❎ <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email_validator`</a>.

    🤶 Ⓜ. `pip install email-validator`
    ⚖️ `pip install pydantic[email]`.

&amp; 👥 ⚙️ 👉 🏷 📣 👆 🔢 &amp; 🎏 🏷 📣 👆 🔢:

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="18"

    * Xâu (`str`), định nghĩa độ dài lớn nhất, nhỏ nhất.
    * Số (`int`, `float`) với các giá trị lớn nhất, nhỏ nhất, etc.

* Validation cho nhiều kiểu dữ liệu bên ngoài như:
    * URL.
    * Email.
    * UUID.
    * ...và nhiều cái khác.

Tất cả validation được xử lí bằng những thiết lập tốt và mạnh mẽ của **Pydantic**.

### Bảo mật và xác thực

UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

@needs_py39
# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):
    test_user = {"email": "******@****.***", "password": "secret"}
    response = client.post("/users/", json=test_user)
    assert response.status_code == 200, response.text
    data = response.json()
    assert test_user["email"] == data["email"]
    assert "id" in data
    response = client.post("/users/", json=test_user)

@needs_py310
# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):
    test_user = {"email": "******@****.***", "password": "secret"}
    response = client.post("/users/", json=test_user)
    assert response.status_code == 200, response.text
    data = response.json()
    assert test_user["email"] == data["email"]
    assert "id" in data
    response = client.post("/users/", json=test_user)

@needs_py39
# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):
    test_user = {"email": "******@****.***", "password": "secret"}
    response = client.post("/users/", json=test_user)
    assert response.status_code == 200, response.text
    data = response.json()
    assert test_user["email"] == data["email"]
    assert "id" in data
    response = client.post("/users/", json=test_user)

            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"

## Dependencias Opcionales

Usadas por Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - para validación de emails.

Usados por Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Requerido si quieres usar el `TestClient`.

## Opcionális követelmények

Pydantic által használt:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.