from datetime import datetime

from pydantic import BaseModel


class User(BaseModel):
    id: int
    name: str = "John Doe"
    signup_ts: datetime | None = None
    friends: list[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)

Luego convertirá y validará los datos. Así que, cuando uses ese objeto `settings`, tendrás datos de los tipos que declaraste (por ejemplo, `items_per_user` será un `int`).

### Usar el `settings` { #use-the-settings }

Luego puedes usar el nuevo objeto `settings` en tu aplicación:

{* ../../docs_src/settings/tutorial001_py39.py hl[18:20] *}

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Aber Sie können auch mehrere Body-Parameter deklarieren, z. B. `item` und `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

In diesem Fall wird **FastAPI** bemerken, dass es mehr als einen Body-Parameter in der Funktion gibt (zwei Parameter, die Pydantic-Modelle sind).

on:
  pull_request:
    branches:
      - master

permissions:
  contents: read
    
jobs:
  build:
    name: runner / shfmt
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: luizm/action-sh-checker@master
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          SHFMT_OPTS: "-s"
        with:

        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/user/": {
                    "post": {
                        "summary": "Create User",
                        "operationId": "create_user_user__post",
                        "requestBody": {
                            "content": {

    full_name: Union[str, None] = None


class UserOut(BaseModel):
    username: str
    email: EmailStr
    full_name: Union[str, None] = None


@app.post("/user/", response_model=UserOut)
async def create_user(user: UserIn) -> Any:

pid=$!

./mc ready myminio

./mc admin user add myminio/ minio123 minio123
./mc admin user add myminio/ minio12345 minio12345

./mc admin policy create myminio/ rw ./docs/distributed/rw.json
./mc admin policy create myminio/ lake ./docs/distributed/rw.json

./mc admin policy attach myminio/ rw --user=minio123
./mc admin policy attach myminio/ lake --user=minio12345

./mc mb -l myminio/versioned

		iamOS.deleteIAMConfig(ctx, getUserIdentityPath(user, userType))
		iamOS.deleteIAMConfig(ctx, getMappedPolicyPath(user, userType, false))
		return u, errNoSuchUser
	}

	if u.Credentials.AccessKey == "" {
		u.Credentials.AccessKey = user
	}

	if u.Credentials.SessionToken != "" {
		jwtClaims, err := extractJWTClaims(u)
		if err != nil {
			if u.Credentials.IsTemp() {
				// We should delete such that the client can re-request

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Mas você pode também declarar múltiplos parâmetros de corpo, por exemplo, `item` e `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

Neste caso, o **FastAPI** perceberá que existe mais de um parâmetro de corpo na função (dois parâmetros que são modelos Pydantic).

  cancel-in-progress: true

permissions:
  contents: read

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Install Helm
        uses: azure/setup-helm@v4

      - name: Run helm lint
        run: |
          cd helm/minio