### Фільтрація даних у FastAPI

Тепер для FastAPI він бачить тип повернення і переконується, що те, що Ви повертаєте, містить **тільки** поля, які оголошені у цьому типі.

# Recursos { #features }

## Recursos do FastAPI { #fastapi-features }

**FastAPI** te oferece o seguinte:

### Baseado em padrões abertos { #based-on-open-standards }

Por exemplo, nós, a equipe por trás do FastAPI, criamos <a href="https://fastapicloud.com" class="external-link" target="_blank">**FastAPI Cloud**</a>, para tornar a implantação de aplicações FastAPI na nuvem o mais simples possível, com a mesma experiência de desenvolvimento de trabalhar com o FastAPI.

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},

from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse

app = FastAPI()


@app.post("/files/")
async def create_files(files: list[bytes] = File()):
    return {"file_sizes": [len(file) for file in files]}


@app.post("/uploadfiles/")
async def create_upload_files(files: list[UploadFile]):
    return {"filenames": [file.filename for file in files]}


@app.get("/")
async def main():

## Full Stack FastAPI PostgreSQL

GitHub : <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-postgresql</a>

### Full Stack FastAPI PostgreSQL - Fonctionnalités

* Intégration **Docker** complète (basée sur Docker).

It will install all the dependencies and your local FastAPI in your local environment.

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

詳細はレポジトリのドキュメントを参照して下さい。

## フルスタック FastAPI MongoDB

...時間の都合等によっては、今後作成されるかもしれません。😅 🎉

## spaCyとFastAPIを使用した機械学習モデル

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### spaCyとFastAPIを使用した機械学習モデル - 機能

* **spaCy** のNERモデルの統合。

from fastapi import FastAPI

app = FastAPI()


@app.get("/app")
def read_main():
    return {"message": "Hello World from main app"}


subapi = FastAPI()


@subapi.get("/sub")
def read_sub():
    return {"message": "Hello World from sub API"}

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import HTTPBasic, HTTPBasicCredentials

app = FastAPI()

security = HTTPBasic()


@app.get("/users/me")
def read_current_user(credentials: Annotated[HTTPBasicCredentials, Depends(security)]):