import importlib
import os
from pathlib import Path

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

from ...utils import needs_pydanticv1


@pytest.fixture(scope="module")
def client(tmp_path_factory: pytest.TempPathFactory):
    tmp_path = tmp_path_factory.mktemp("data")
    cwd = os.getcwd()
    os.chdir(tmp_path)
    test_db = Path("./sql_app.db")

import os
from pathlib import Path

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

from ...utils import needs_py310, needs_pydanticv1


@pytest.fixture(scope="module")
def client(tmp_path_factory: pytest.TempPathFactory):
    tmp_path = tmp_path_factory.mktemp("data")
    cwd = os.getcwd()
    os.chdir(tmp_path)
    test_db = Path("./sql_app.db")

### Est-ce que la concurrence est mieux que le parallélisme ?

Nope ! C'est ça la morale de l'histoire.

FastAPI seinerseits wird den Rückgabetyp sehen und sicherstellen, dass das, was zurückgegeben wird, **nur** diejenigen Felder enthält, welche im Typ deklariert sind.

FastAPI macht intern mehrere Dinge mit Pydantic, um sicherzustellen, dass obige Ähnlichkeitsregeln der Klassenvererbung nicht auf die Filterung der zurückgegebenen Daten angewendet werden, sonst könnten Sie am Ende mehr Daten zurückgeben als gewollt.

* 📝 Fix typo in `docs/en/docs/advanced/behind-a-proxy.md`. PR [#5681](https://github.com/tiangolo/fastapi/pull/5681) by [@Leommjr](https://github.com/Leommjr).
* ✏ Fix wrong import from typing module in Persian translations for `docs/fa/docs/index.md`. PR [#6083](https://github.com/tiangolo/fastapi/pull/6083) by [@Kimiaattaei](https://github.com/Kimiaattaei).

<mxfile host="65bd71144e" modified="2020-11-28T18:13:19.199Z" agent="5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Code/1.51.1 Chrome/83.0.4103.122 Electron/9.3.3 Safari/537.36" etag="KPHuXUeExV3PdWouu_3U" version="13.6.5">
    <diagram id="zB4-QXJZ7ScUzHSLnJ1i" name="Page-1">

## Importez le `BaseModel` de Pydantic

Commencez par importer la classe `BaseModel` du module `pydantic` :

```Python hl_lines="4"
{!../../../docs_src/body/tutorial001.py!}
```

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

```Python hl_lines="6"
{!../../../docs_src/path_params/tutorial004.py!}
```

!!! tip "Consejo"
    Podrías necesitar que el parámetro contenga `/home/johndoe/myfile.txt` con un slash inicial (`/`).

    En este caso la URL sería `/files//home/johndoe/myfile.txt` con un slash doble (`//`) entre `files` y `home`.

## Repaso

Con **FastAPI**, usando declaraciones de tipo de Python intuitivas y estándares, obtienes:

Digamos que você tenha uma *operação de rota* com uma rota `/files/{file_path}`.

Mas você precisa que o próprio `file_path` contenha uma *rota*, como `home/johndoe/myfile.txt`.

Então, a URL para este arquivo deveria ser algo como: `/files/home/johndoe/myfile.txt`.

### Suporte do OpenAPI

* `read(size)`: Reads `size` (`int`) bytes/characters of the file.
* `seek(offset)`: Goes to the byte position `offset` (`int`) in the file.
    * E.g., `await myfile.seek(0)` would go to the start of the file.
    * This is especially useful if you run `await myfile.read()` once and then need to read the contents again.
* `close()`: Closes the file.

As all these methods are `async` methods, you need to "await" them.