@Secured({ ROLE })
    public HtmlResponse edit(final EditForm form) {
        final String jspType = "view";
        final File jspFile = getJspFile(form.fileName, jspType);
        try {
            form.content = encodeJsp(new String(FileUtil.readBytes(jspFile), Constants.UTF_8));
        } catch (final UnsupportedEncodingException e) {
            throw new FessSystemException("Invalid encoding: fileName=" + form.fileName, e);
        }

    }

    @Test
    public void test_encodeJsp() {
        assertEquals("<!--TRY-->", AdminDesignAction.encodeJsp("<% try{ %>"));
        assertEquals("<!--CACHE_AND_SESSION_INVALIDATE-->",
                AdminDesignAction.encodeJsp("<% }catch(Exception e){session.invalidate();} %>"));
    }

    // ===================================================================================

    return o.isoformat()


# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> int | float:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float

JSON ne peut contenir que des chaînes encodées en UTF-8, il ne peut donc pas contenir d'octets bruts.

from datetime import datetime

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


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


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

from fastapi import FastAPI, Request
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from pydantic import BaseModel

app = FastAPI()


@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request: Request, exc: RequestValidationError):
    return JSONResponse(
        status_code=422,

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},

 * </p>
 *
 * @author higa
 */
public abstract class Base64Util {

    /**
     * Do not instantiate.
     */
    protected Base64Util() {
    }

    /**
     * Encodes data in Base64.
     * <p>
     * This method uses {@link java.util.Base64.Encoder} for encoding.
     * </p>
     *
     * @param inData
     *            The data to encode

**FastAPI** s'assure de lire ces données au bon endroit au lieu de JSON.

/// note | Détails techniques

Les données issues des formulaires sont normalement encodées avec le « type de média » `application/x-www-form-urlencoded`.

Mais lorsque le formulaire inclut des fichiers, il est encodé en `multipart/form-data`. Vous lirez la gestion des fichiers dans le chapitre suivant.

from enum import Enum
from math import isinf, isnan
from pathlib import PurePath, PurePosixPath, PureWindowsPath
from typing import TypedDict

import pytest
from fastapi._compat import Undefined
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import PydanticV1NotSupportedError
from pydantic import BaseModel, Field, ValidationError


class Person:
    def __init__(self, name: str):
        self.name = name