]
}
```

Поскольку `needy` является обязательным параметром, вам необходимо указать его в URL-адресе:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

...это будет работать:

```JSON
{
    "item_id": "foo-item",
    "needy": "sooooneedy"
}
```

                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>
                            <li class="breadcrumb-item"><la:link href="../list/1/?dictId=${f:u(dictId)}">
                                <la:message key="labels.dict_stopwords_list_link"/>

		for _, item := range cfgSubsysItems {
			off := item.Config.Get(config.Enable) == config.EnableOff
			switch hkv.Key {
			case config.EtcdSubSys:
				off = !etcd.Enabled(item.Config)
			case config.StorageClassSubSys:
				off = !storageclass.Enabled(item.Config)
			case config.PolicyPluginSubSys:
				off = !polplugin.Enabled(item.Config)
			case config.IdentityOpenIDSubSys:

    return {"item_id": item_id, "q": q}


@app.put("/items/{item_id}")
def update_item(item_id: int, item: Item):
    return {"item_name": item.name, "item_id": item_id}
```

Сервер должен перезагрузиться автоматически (потому что вы добавили `--reload` к команде `uvicorn` выше).

### Интерактивное обновление документации API

خط زیر را به این صورت تغییر دهید:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

از:

```Python
        ... "item_name": item.name ...
```

به:

```Python
        ... "item_price": item.price ...
```

در حین تایپ کردن توجه کنید که چگونه ویرایش‌گر، ویژگی‌های کلاس  `Item` را تشخیص داده و به تکمیل خودکار آنها کمک می‌کند:

///

`response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`.

FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.

/// tip

    return {"item_id": item_id, "q": q}


@app.put("/items/{item_id}")
def update_item(item_id: int, item: Item):
    return {"item_name": item.name, "item_id": item_id}
```

The `fastapi dev` server should reload automatically.

### Interactive API docs upgrade { #interactive-api-docs-upgrade }

                map.put("hashCode", item.hashCode());
                map.put("size", item.size());
                map.put("directory", item.isDir());
                if (!item.isDir()) {
                    map.put("lastModified", item.lastModified());
                    fileList.add(map);
                } else {
                    list.add(map);
                }

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py hl[17:22, 24] *}

////

/// info

In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

///

        assertTrue(results.size() >= 1);
        logger.info("results: {}", results);
        Map<String, Object> item = results.get(0);
        logger.info("item: {}", item);
        assertTrue(item.containsKey("content_title"));
        assertEquals("<strong>CodeLibs</strong> Project", item.get("content_title"));
    }

    private void testDeleteSearchList() {