import importlib

import pytest
from dirty_equals import IsList
from fastapi.testclient import TestClient
from inline_snapshot import Is, snapshot

from ...utils import needs_py310

UNTYPED_LIST_SCHEMA = {"type": "array", "items": {}}

LIST_OF_STR_SCHEMA = {"type": "array", "items": {"type": "string"}}

SET_OF_STR_SCHEMA = {"type": "array", "items": {"type": "string"}, "uniqueItems": True}


@pytest.fixture(
    name="mod_name",

import importlib

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial004_py310", marks=needs_py310),
        pytest.param("tutorial004_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

### Importar `FastAPI` { #import-fastapi }

Importas y creas una clase `FastAPI` como normalmente.

Y podemos incluso declarar [dependencias globales](dependencies/global-dependencies.md) que se combinarán con las dependencias para cada `APIRouter`:

{* ../../docs_src/bigger_applications/app_an_py310/main.py hl[1,3,7] title["app/main.py"] *}

### Importar el `APIRouter` { #import-the-apirouter }

import importlib
from unittest.mock import patch

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

///

## Importar `BaseModel` de Pydantic { #import-pydantics-basemodel }

Primero, necesitas importar `BaseModel` de `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

# limitations under the License.
# ==============================================================================
"""Bring in all of the public TensorFlow interface into this module."""

import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys
import sysconfig

# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top

Dolayısıyla şu bölüm:

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

çalışır.

---

Ancak modülü (dosyayı) import ederseniz bu gerçekleşmez.

Yani örneğin `importer.py` adında başka bir dosyanız var ve içinde şunlar bulunuyorsa:

```Python
from myapp import app

# Some more code
```

Отже, цей блок коду:

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

буде виконаний.

---

Це не станеться, якщо ви імпортуєте цей модуль (файл).

Отже, якщо у вас є інший файл `importer.py` з:

```Python
from myapp import app

# Ще трохи коду
```

у цьому випадку автоматично створена змінна `__name__` всередині `myapp.py` не матиме значення `"__main__"`.

Отже, рядок:

```Python

## Usando `WSGIMiddleware` { #using-wsgimiddleware }

/// info | Informação

Isso requer instalar `a2wsgi`, por exemplo com `pip install a2wsgi`.

///

Você precisa importar o `WSGIMiddleware` de `a2wsgi`.

Em seguida, encapsule a aplicação WSGI (e.g. Flask) com o middleware.

E então monte isso sob um path.

{* ../../docs_src/wsgi/tutorial001_py310.py hl[1,3,23] *}

/// note | Nota

# Parámetros de Cookie { #cookie-parameters }

Puedes definir parámetros de Cookie de la misma manera que defines los parámetros `Query` y `Path`.

## Importar `Cookie` { #import-cookie }

Primero importa `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## Declarar parámetros de `Cookie` { #declare-cookie-parameters }

Luego declara los parámetros de cookie usando la misma estructura que con `Path` y `Query`.