import pytest
from dirty_equals import IsDict, IsOneOf
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.security.tutorial005_py39 import app

    client = TestClient(app)
    return client


def get_access_token(
    *, username="johndoe", password="secret", scope=None, client: TestClient
):

from multiprocessing import Pool
from pathlib import Path
from typing import Any, Dict, List, Optional, Union

import mkdocs.commands.build
import mkdocs.commands.serve
import mkdocs.config
import mkdocs.utils
import typer
import yaml
from jinja2 import Template

logging.basicConfig(level=logging.INFO)

app = typer.Typer()

mkdocs_name = "mkdocs.yml"

missing_translation_snippet = """

!!! tip
    We only need to create one `PeeweeGetterDict` class, and we can use it in all the Pydantic *models* / schemas.

## CRUD utils

Now let's see the file `sql_app/crud.py`.

### Create all the CRUD utils

Create all the same CRUD utils as in the SQLAlchemy tutorial, all the code is very similar:

```Python hl_lines="1  4-5  8-9  12-13  16-20  23-24  27-30"

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_pydanticv1, needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_updates.tutorial001 import app

    client = TestClient(app)
    return client


def test_get(client: TestClient):
    response = client.get("/items/baz")
    assert response.status_code == 200, response.text
    assert response.json() == {

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310, needs_pydanticv1, needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_updates.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_get(client: TestClient):
    response = client.get("/items/baz")
    assert response.status_code == 200, response.text

il existe de nombreux outils compatibles.

Grâce à cela, **FastAPI** lui-même fournit une documentation alternative (utilisant ReDoc), qui peut être lue
sur <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a> :

<img src="/img/tutorial/path-params/image02.png">

De la même façon, il existe bien d'autres outils compatibles, y compris des outils de génération de code

On peut aussi ajouter plus d'informations sur le paramètre.

Ces informations seront incluses dans le schéma `OpenAPI` généré et utilisées par la documentation interactive ou les outils externes utilisés.

!!! note
    Gardez en tête que les outils externes utilisés ne supportent pas forcément tous parfaitement OpenAPI.

* Validerà che esiste un `item_id` nel percorso delle richieste `GET` e `PUT`.
* Validerà che `item_id` sia di tipo `int` per le richieste `GET` e `PUT`.
    * Se non lo è, il client vedrà un errore chiaro e utile.
* Controllerà se ci sia un parametro opzionale chiamato `q` (per esempio `http://127.0.0.1:8000/items/foo?q=somequery`) per le richieste `GET`.
    * Siccome il parametro `q` è dichiarato con `= None`, è opzionale.

from fastapi.testclient import TestClient

from docs_src.dataclasses.tutorial003 import app

from ...utils import needs_pydanticv1, needs_pydanticv2

client = TestClient(app)


def test_post_authors_item():
    response = client.post(
        "/authors/foo/items/",
        json=[{"name": "Bar"}, {"name": "Baz", "description": "Drop the Baz"}],
    )
    assert response.status_code == 200
    assert response.json() == {

import pytest
from dirty_equals import IsDict
from fastapi import FastAPI
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="app")
def get_app():
    from docs_src.request_forms_and_files.tutorial001_an_py39 import app

    return app


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


@needs_py39