# 🛠️

🛠️ **FastAPI** 🈸 📶 ⏩.

## ⚫️❔ 🔨 🛠️ ⛓

**🛠️** 🈸 ⛓ 🎭 💪 📶 ⚒ ⚫️ **💪 👩‍💻**.

**🕸 🛠️**, ⚫️ 🛎 🔌 🚮 ⚫️ **🛰 🎰**, ⏮️ **💽 📋** 👈 🚚 👍 🎭, ⚖, ♒️, 👈 👆 **👩‍💻** 💪 **🔐** 🈸 ♻ & 🍵 🔁 ⚖️ ⚠.

👉 🔅 **🛠️** ▶️, 🌐❔ 👆 🕧 🔀 📟, 💔 ⚫️ & ♻ ⚫️, ⛔️ & 🔁 🛠️ 💽, ♒️.

## 🛠️ 🎛

📤 📚 🌌 ⚫️ ⚓️ 🔛 👆 🎯 ⚙️ 💼 & 🧰 👈 👆 ⚙️.

👆 💪 **🛠️ 💽** 👆 ⚙️ 🌀 🧰, 👆 💪 ⚙️ **☁ 🐕‍🦺** 👈 🔨 🍕 👷 👆, ⚖️ 🎏 💪 🎛.

from dataclasses import dataclass, field
from typing import Any, Callable, List, Optional, Sequence, Tuple

from fastapi._compat import ModelField
from fastapi.security.base import SecurityBase


@dataclass
class SecurityRequirement:
    security_scheme: SecurityBase
    scopes: Optional[Sequence[str]] = None


@dataclass
class Dependant:
    path_params: List[ModelField] = field(default_factory=list)

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder`

Vamos imaginar que você tenha um banco de dados `fake_db` que recebe apenas dados compatíveis com JSON.

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

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.response_model.tutorial003_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_post_user(client: TestClient):
    response = client.post(
        "/user/",
        json={

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

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial004_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [
        (
            "/items",

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.extra_data_types.tutorial001 import app

client = TestClient(app)


def test_extra_types():
    item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
    data = {
        "start_datetime": "2018-12-22T14:00:00+00:00",
        "end_datetime": "2018-12-24T15:00:00+00:00",
        "repeat_at": "15:30:00",
        "process_after": 300,
    }

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: str | None = None

* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.

/// warning

このベースイメージや類似のイメージは**必要ない**可能性が高いので、[上記の: FastAPI用のDockerイメージをビルドする（Build a Docker Image for FastAPI）](#build-a-docker-image-for-fastapi)のようにゼロからイメージをビルドする方が良いでしょう。

///

Zum Beispiel, wenn Sie es in einer Datenbank speichern möchten.

Dafür bietet **FastAPI** eine Funktion `jsonable_encoder()`.

## `jsonable_encoder` verwenden

Stellen wir uns vor, Sie haben eine Datenbank `fake_db`, die nur JSON-kompatible Daten entgegennimmt.

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

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.response_model.tutorial004_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "url,data",
    [
        ("/items/foo", {"name": "Foo", "price": 50.2}),
        (