from typing import Annotated, Union

from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class UserForm(BaseModel):
    name: str
    email: str


class CompanyForm(BaseModel):
    company_name: str
    industry: str


@app.post("/form-union/")
def post_union_form(data: Annotated[Union[UserForm, CompanyForm], Form()]):

# Ref: https://github.com/fastapi/fastapi/issues/14454

from typing import Annotated, Optional

from fastapi import APIRouter, Depends, FastAPI, Security
from fastapi.security import OAuth2AuthorizationCodeBearer
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

oauth2_scheme = OAuth2AuthorizationCodeBearer(
    authorizationUrl="authorize",
    tokenUrl="token",
    auto_error=True,

Seit Python 3.9 ist `Annotated` ein Teil der Standardbibliothek, Sie können es von `typing` importieren.

{* ../../docs_src/python_types/tutorial013_py39.py hl[1,4] *}

Python selbst macht nichts mit `Annotated`. Für Editoren und andere Tools ist der Typ immer noch `str`.

from typing import Annotated

import pytest
from fastapi import FastAPI, Form
from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from .utils import needs_py310


def get_client():
    app = FastAPI()
    with pytest.warns(FastAPIDeprecationWarning):

        @app.post("/items/")
        async def read_items(

                newApi("Method", "SourceKt.wrap(java.util.Set,java.util.HashSet,java.util.LinkedHashSet)"),
            )
        }

        // new file-facade class can be annotated with @Incubating, members must be annotated with @since
        checkBinaryCompatible(
            v2 = {
                withFile(
                    "kotlin/com/example/Source.kt",
                    """

import sys
import types
import typing
import warnings
from collections import deque
from collections.abc import Mapping, Sequence
from dataclasses import is_dataclass
from typing import (
    Annotated,
    Any,
    Union,
)

from fastapi.types import UnionType
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
from starlette.datastructures import UploadFile

      </replaceConfiguration>

//// tab | Python 3.9+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.9+ nicht annotiert

/// tip | Tipp

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

```Python hl_lines="1"

Desde o Python 3.9, `Annotated` faz parte da biblioteca padrão, então você pode importá-lo de `typing`.

{* ../../docs_src/python_types/tutorial013_py39.py hl[1,4] *}

O Python em si não faz nada com este `Annotated`. E para editores e outras ferramentas, o tipo ainda é `str`.

Desde Python 3.9, `Annotated` es parte de la standard library, así que puedes importarlo desde `typing`.

{* ../../docs_src/python_types/tutorial013_py39.py hl[1,4] *}

Python en sí no hace nada con este `Annotated`. Y para los editores y otras herramientas, el tipo sigue siendo `str`.