val v2Jar = v2.tasks.named("jar")
                    val newUpgradedPropertiesFile = layout.buildDirectory.file("gradle-api-info/new-upgraded-properties.json")
                    val oldUpgradedPropertiesFile = layout.buildDirectory.file("gradle-api-info/old-upgraded-properties.json")
                    val extractGradleApiInfo = tasks.register<ExtractGradleApiInfoTask>("extractGradleApiInfo") {
                        gradleApiInfoJarPrefix = "v"

                    logger.info("Create suggest index: {}", indexName);
                }

                client.admin().indices().prepareCreate(indexName).setSettings(settingsSource, XContentType.JSON).setMapping(mappingSource)
                        .addAlias(new Alias(getSearchAlias(index))).addAlias(new Alias(getUpdateAlias(index))).execute()
                        .actionGet(suggestSettings.getIndicesTimeout());

* For `PUT` requests to `/items/{item_id}`, read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.
* Convert from and to JSON automatically.

	Object            string        `json:"object" msg:"ob"`             // Last rebalanced object
	NumObjects        uint64        `json:"numObjects" msg:"no"`         // Number of objects rebalanced
	NumVersions       uint64        `json:"numVersions" msg:"nv"`        // Number of versions rebalanced
	Bytes             uint64        `json:"bytes" msg:"bs"`              // Number of bytes rebalanced

```

⏮️ 🎻 💪:

```JSON
{
    "id": "2expen51ve",
    "customer": "Mr. Richie Rich",
    "total": "9999"
}
```

⤴️ *👆 🛠️* 🔜 🛠️ 🧾, & ☝ ⏪, 📨 ⏲ 📨 `callback_url` ( *🔢 🛠️*):

```
https://www.external.org/events/invoices/2expen51ve
```

⏮️ 🎻 💪 ⚗ 🕳 💖:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}

Pydanticモデルの属性に対して宣言するのと同じ型を受け取るので、Pydanticモデルになることもできますが、例えば、`List[Item]`のようなPydanticモデルの`list`になることもできます。

FastAPIは`response_model`を使って以下のことをします:

* 出力データを型宣言に変換します。
* データを検証します。
* OpenAPIの *path operation* で、レスポンス用のJSON Schemaを追加します。
* 自動ドキュメントシステムで使用されます。

しかし、最も重要なのは:

* 出力データをモデルのデータに限定します。これがどのように重要なのか以下で見ていきましょう。

/// note | "技術詳細"

    return {"msg": "Hello World"}


client = TestClient(app)


def test_dependency_set_status_code():
    response = client.get("/")
    assert response.status_code == 201, response.text

type Value struct {
	value interface{}
}

// Missing is used to indicate a non-existing value.
type Missing struct{}

// MarshalJSON provides json marshaling of values.
func (v Value) MarshalJSON() ([]byte, error) {
	if b, ok := v.ToBytes(); ok {
		return b, nil
	}
	return json.Marshal(v.value)
}

// GetTypeString returns a string representation for vType
func (v Value) GetTypeString() string {
	switch v.value.(type) {

///

## Add extra information

You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.

You will learn more about adding extra information later in the docs, when learning to declare examples.

/// warning

            "description": "Just kiddin', no magic here. ✨",
        },
    }


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {
                "application/json": {
                    "schema": {
                        "required": ["name", "price"],
                        "type": "object",
                        "properties": {