from typing import Annotated, Union

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

from .utils import get_body_model_name

app = FastAPI()

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

from typing import Annotated, Optional

import pytest
from fastapi import Body, FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

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


@app.post("/optional-str", operation_id="optional_str")

from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {

import logging
from typing import Literal

from github import Github
from github.PullRequestReview import PullRequestReview
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings


class LabelSettings(BaseModel):
    await_label: str | None = None
    number: int


default_config = {"approved-2": LabelSettings(await_label="awaiting-review", number=2)}


class Settings(BaseSettings):

///

## Importez le `BaseModel` de Pydantic

Commencez par importer la classe `BaseModel` du module `pydantic` :

{* ../../docs_src/body/tutorial001.py hl[4] *}

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

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


class Model(BaseModel):
    name: str


app = FastAPI()


@app.get("/valid1", responses={"500": {"model": int}})
def valid1():
    pass


@app.get("/valid2", responses={"500": {"model": list[int]}})
def valid2():
    pass


@app.get("/valid3", responses={"500": {"model": Model}})
def valid3():
    pass

class Server(BaseModelWithConfig):
    url: Union[AnyUrl, str]
    description: Optional[str] = None
    variables: Optional[dict[str, ServerVariable]] = None


class Reference(BaseModel):
    ref: str = Field(alias="$ref")


class Discriminator(BaseModel):
    propertyName: str
    mapping: Optional[dict[str, str]] = None


class XML(BaseModelWithConfig):
    name: Optional[str] = None

from contextlib import asynccontextmanager
from typing import Union

import pytest
from fastapi import APIRouter, FastAPI, Request
from fastapi.testclient import TestClient
from pydantic import BaseModel


class State(BaseModel):
    app_startup: bool = False
    app_shutdown: bool = False
    router_startup: bool = False
    router_shutdown: bool = False
    sub_router_startup: bool = False

                """
            ),
        ] = None,
    ) -> None:
        super().__init__(code=code, reason=reason)


RequestErrorModel: type[BaseModel] = create_model("Request")
WebSocketErrorModel: type[BaseModel] = create_model("WebSocket")


class FastAPIError(RuntimeError):
    """
    A generic, FastAPI-specific error.
    """


class DependencyScopeError(FastAPIError):

from decimal import Decimal

from dirty_equals import IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: list[Item]):
    return {"item": item}