# Header Parameters

You can define Header parameters the same way you define `Query`, `Path` and `Cookie` parameters.

## Import `Header`

First import `Header`:

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/header_params/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="3"
{!> ../../docs_src/header_params/tutorial001_an_py39.py!}
```

////

`Header`は`Path`や`Query`、`Cookie`の「姉妹」クラスです。また、同じ共通の`Param`クラスを継承しています。

しかし、`fastapi`から`Query`や`Path`、`Header`などをインポートする場合、それらは実際には特殊なクラスを返す関数であることを覚えておいてください。

///

/// info | "情報"

ヘッダーを宣言するには、`Header`を使う必要があります。なぜなら、そうしないと、パラメータがクエリのパラメータとして解釈されてしまうからです。

///

## 自動変換

`Header`は`Path`や`Query`、`Cookie`が提供する機能に加え、少しだけ追加の機能を持っています。

ほとんどの標準ヘッダーは、「マイナス記号」（`-`）としても知られる「ハイフン」で区切られています。

しかし、`user-agent`のような変数はPythonでは無効です。

# Header Parameter Models

If you have a group of related **header parameters**, you can create a **Pydantic model** to declare them.

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

## Header Parameters with a Pydantic Model

Koki Igarashi <******@****.***> 1581071331 +0900

///

## Parâmetros do Cabeçalho com um Modelo Pydantic

Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:

//// tab | Python 3.10+

```Python hl_lines="9-14  18"
{!> ../../docs_src/header_param_models/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="9-14  18"

const maxDocumentSize = 10 << 20

// Reader - JSON record reader for S3Select.
type Reader struct {
	args       *ReaderArgs
	decoder    *jstream.Decoder
	valueCh    chan *jstream.MetaValue
	readCloser io.ReadCloser
}

// Read - reads single record.
func (r *Reader) Read(dst sql.Record) (sql.Record, error) {
	v, ok := <-r.valueCh
	if !ok {

      override fun matches(header: DerHeader): Boolean = true

      override fun fromDer(reader: DerReader): AnyValue {
        reader.read("ANY") { header ->
          val bytes = reader.readUnknown()
          return AnyValue(
            tagClass = header.tagClass,
            tag = header.tag,
            constructed = header.constructed,
            length = header.length,
            bytes = bytes,

	exit_1
fi

echo "Set default encryption on "

# test if checksum header is replicated for encrypted objects
# Enable SSE KMS for test-bucket bucket
./mc encrypt set sse-kms minio-default-key minio1/test-bucket --insecure

# Load objects to source site with checksum header
echo "Loading objects to source MinIO instance"
OBJ_CHKSUM=$(openssl dgst -sha256 -binary </tmp/data/obj | base64)

	reader, err := sio.DecryptReader(client, sio.Config{
		Key:            objectEncryptionKey,
		SequenceNumber: seqNumber,
		CipherSuites:   fips.DARECiphers(),
	})
	if err != nil {
		return nil, crypto.ErrInvalidCustomerKey
	}
	return reader, nil
}

// DecryptBlocksRequestR - same as DecryptBlocksRequest but with a
// reader

	}, ErrNone
}

// Represents the overall state that is required for decoding a
// AWS Signature V4 chunked reader.
type s3ChunkedReader struct {
	reader        *bufio.Reader
	cred          auth.Credentials
	seedSignature string
	seedDate      time.Time
	region        string
	trailers      http.Header

	chunkSHA256Writer hash.Hash // Calculates sha256 of chunk data.
	buffer            []byte
	offset            int