from docs_src.settings.tutorial001 import app

    client = TestClient(app)
    response = client.get("/info")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,

This code is something you can actually use in your application, save the password hashes in your database, etc.

We are going to start from where we left in the previous chapter and increment it.

## About JWT

JWT means "JSON Web Tokens".

///

## 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

const (
	// ExperimentalMsg indicate active development and not for production use warning.
	ExperimentalMsg = `THIS COMMAND IS UNDER ACTIVE DEVELOPMENT AND NOT READY FOR PRODUCTION USE.`
)

const (
	JSONFormat  = "json"
	YamlFormat  = "yaml"
	TableFormat = "table"

MIT License

Copyright (c) 2016 json-iterator

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

### Using xl-meta

Executing `xl-meta` will look for an `xl.meta` in the current folder and decode it to JSON. It is also possible to specify multiple files or wildcards, for example `xl-meta ./**/xl.meta` will output decoded metadata recursively. It is possible to view what inline data is stored inline in the metadata using `--data` parameter `xl-meta -data xl.json` will display an id -> data size. To export inline data to a file use the `--export` option.

	}
}

// EvalFrom evaluates the From clause on the input record. It only
// applies to JSON input data format (currently).
func (e *SelectStatement) EvalFrom(format string, input Record) ([]*Record, error) {
	if !e.selectAST.From.HasKeypath() {
		return []*Record{&input}, nil
	}
	_, rawVal := input.Raw()

	if format != "json" {
		return nil, errDataSource(errors.New("path not supported"))
	}

    return {"msg": "Hello World"}


client = TestClient(app)


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

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"

// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package clusters

import (
	"encoding/json"
	"fmt"
	"io"
	"sort"
	"strconv"
	"strings"
	"text/tabwriter"

	admin "github.com/envoyproxy/go-control-plane/envoy/admin/v3"
	core "github.com/envoyproxy/go-control-plane/envoy/config/core/v3"