from typing import Annotated

from fastapi import Body, FastAPI, status
from fastapi.responses import JSONResponse

app = FastAPI()

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: Annotated[str | None, Body()] = None,
    size: Annotated[int | None, Body()] = None,
):
    if item_id in items:

from fastapi import Body, FastAPI, status
from fastapi.responses import JSONResponse

app = FastAPI()

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: str | None = Body(default=None),
    size: int | None = Body(default=None),
):
    if item_id in items:
        item = items[item_id]
        item["name"] = name

from fastapi import FastAPI

app = FastAPI()

items = {}


@app.on_event("startup")
async def startup_event():
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}


@app.get("/items/{item_id}")
async def read_items(item_id: str):

class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,
        "tax": 10.5,
    },
}


@app.get(

# Envoyer des fichiers { #request-files }

Vous pouvez définir des fichiers à téléverser par le client en utilisant `File`.

/// info

Pour recevoir des fichiers téléversés, installez d'abord [`python-multipart`](https://github.com/Kludex/python-multipart).

Assurez-vous de créer un [environnement virtuel](../virtual-environments.md), de l'activer, puis d'installer le paquet, par exemple :

```console
$ pip install python-multipart
```

/**
 * Apply multiple filters.
 *
 */
public class AndArtifactFilter implements ArtifactFilter {
    private Set<ArtifactFilter> filters;

    public AndArtifactFilter() {
        this.filters = new LinkedHashSet<>();
    }

    public AndArtifactFilter(List<ArtifactFilter> filters) {
        this.filters = new LinkedHashSet<>(filters);
    }

    @Override

/**
 * Apply multiple filters, accepting an artifact if at least one of the filters accepts it.
 *
 */
@Deprecated
public class OrArtifactFilter implements ArtifactFilter {

    private Set<ArtifactFilter> filters;

    public OrArtifactFilter() {
        this.filters = new LinkedHashSet<>();
    }

    public OrArtifactFilter(Collection<ArtifactFilter> filters) {

# Fichiers statiques { #static-files }

Vous pouvez servir des fichiers statiques automatiquement à partir d'un répertoire en utilisant `StaticFiles`.

## Utiliser `StaticFiles` { #use-staticfiles }

- Importer `StaticFiles`.
- « Mount » une instance `StaticFiles()` sur un chemin spécifique.

{* ../../docs_src/static_files/tutorial001_py310.py hl[2,6] *}

/// note | Détails techniques

import jakarta.annotation.PostConstruct;

/**
 * Query processor component that handles query filters and commands.
 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *
 * <p>The processor maintains a map of query commands indexed by query class names
 * and a list of filters that are applied in order during query processing.</p>
 */
public class QueryProcessor {

Si votre application doit recevoir et envoyer des données JSON, mais que vous devez y inclure des données binaires, vous pouvez les encoder en base64.

## Base64 vs fichiers { #base64-vs-files }