<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## Exemple

### Créez

* Créez un fichier `main.py` avec :

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

## Ejemplo { #example }

### Créalo { #create-it }

Crea un archivo `main.py` con:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## 範例

### 建立

- 建立一個 python 檔案 `main.py`，並寫入以下程式碼：

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

## Exemplo { #example }

### Crie { #create-it }

Crie um arquivo `main.py` com:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

from typing import Annotated

import pytest
from fastapi import FastAPI, File, UploadFile
from fastapi.testclient import TestClient

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/required-bytes", operation_id="required_bytes")
async def read_required_bytes(p: Annotated[bytes, File()]):

from typing import Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, computed_field


class SubItem(BaseModel):
    subname: str
    sub_description: Optional[str] = None
    tags: list[str] = []
    model_config = {"json_schema_serialization_defaults_required": True}


class Item(BaseModel):
    name: str

* Валидация **сложных структур**:
    * Использование иерархических моделей Pydantic; `List`, `Dict` и т. п. из модуля `typing` (входит в стандартную библиотеку Python).
    * Валидаторы позволяют чётко и легко определять, проверять и документировать сложные схемы данных в виде JSON Schema.

from typing import Annotated

import pytest
from dirty_equals import IsOneOf, IsPartialDict
from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/required-list-str", operation_id="required_list_str")

* Valida **estructuras complejas**:
    * Uso de modelos jerárquicos de Pydantic, `List` y `Dict` de `typing` de Python, etc.
    * Y los validadores permiten definir, verificar y documentar de manera clara y fácil esquemas de datos complejos como JSON Schema.

    IPv4Address,
    IPv4Interface,
    IPv4Network,
    IPv6Address,
    IPv6Interface,
    IPv6Network,
)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Annotated, Any, Callable, Optional, Union
from uuid import UUID

from annotated_doc import Doc
from fastapi.exceptions import PydanticV1NotSupportedError
from fastapi.types import IncEx