from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    image: Image | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()
    image: Union[Image, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

2. Run an Emulator using Android Studio or from command line.

```

* Construisez votre image FastAPI :

<div class="termy">

```console
$ docker build -t myimage .

---> 100%
```

</div>

## Démarrer le conteneur Docker

* Exécutez un conteneur basé sur votre image :

<div class="termy">

```console
$ docker run -d --name mycontainer -p 80:80 myimage
```

                <access kind="email"></access>
                <access kind="url">http://www.taro.com/</access>
                <image file="taro.png" />
        </item>
        <item sex="male" custid="B23456">
                <name>佐藤二朗</name>
                <access kind="email">******@****.***</access>
                <image file="jiro.png" />
        </item>
        <item sex="female" custid="C34567">
                <name>田中花子</name>

}


app = FastAPI()


@app.get(
    "/items/{item_id}",
    response_model=Item,
    responses={**responses, 200: {"content": {"image/png": {}}}},
)
async def read_item(item_id: str, img: Union[bool, None] = None):
    if img:
        return FileResponse("image.png", media_type="image/png")
    else:

 *     public Collection<Lifecycle> provides() {
 *         return Collections.singleton(
 *             lifecycle("deploy-docker", Arrays.asList(
 *                 "build-image",
 *                 "tag-image",
 *                 "push-image"
 *             ))
 *         );
 *     }
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Lifecycle
 * @see org.apache.maven.api.spi.ExtensibleEnumProvider
 * @since 4.0.0

        // But exclude images and admin section
        urlFilter.addExclude(".*\\.(jpg|png|gif)$");
        urlFilter.addExclude(".*/admin/.*");

        assertTrue(urlFilter.match("https://example.com/page.html"));
        assertTrue(urlFilter.match("https://example.com/document.pdf"));
        assertFalse(urlFilter.match("https://example.com/image.jpg"));

				"chemical/x-xyz",
				"image/x-ms-bmp",
				"image/cgm",
				"image/example",
				"image/fits",
				"image/g3fax",
				"image/gif",
				"image/ief",
				"image/jp2",
				"image/jpeg",
				"image/jpm",
				"image/jpx",
				"image/naplps",
				"image/nitf",
				"image/png",
				"image/prs.btif",
				"image/prs.pti",
				"image/svg+xml",
				"image/t38",

mkdocs-material==9.7.0
mdx-include >=1.4.1,<2.0.0
mkdocs-redirects>=1.2.1,<1.3.0
typer == 0.16.0
pyyaml >=5.3.1,<7.0.0
# For Material for MkDocs, Chinese search
jieba==0.42.1
# For image processing by Material for MkDocs
pillow==11.3.0
# For image processing by Material for MkDocs
cairosvg==2.8.2
mkdocstrings[python]==0.30.1
griffe-typingdoc==0.3.0
griffe-warnings-deprecated==1.1.0
# For griffe, it formats with black
black==25.1.0