# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - edata1-1:/edata1
      - edata1-2:/edata2
      - edata1-3:/edata3
      - edata1-4:/edata4

  nginx:
    image: nginx:1.19.2-alpine
    hostname: nginx
    volumes:
      - ./nginx-1-node.conf:/etc/nginx/nginx.conf:ro
    ports:
      - "9000:9000"

		SecretKey: "minio1234",
	}

	data := []byte(`config data`)
	edata1, err := madmin.EncryptData(cred1.String(), data)
	if err != nil {
		t.Fatal(err)
	}

	edata2, err := madmin.EncryptData(cred2.String(), data)
	if err != nil {
		t.Fatal(err)
	}

	tests := []struct {
		edata   []byte
		cred    auth.Credentials
		success bool
	}{
		{edata1, cred1, true},
		{edata2, cred2, true},

      "accessResultData": {
        "properties": {
          "transformerName": {
            "type": "keyword"
          },
          "encoding": {
            "type": "keyword"
          },
          "data": {
            "type": "binary"
          }
        }
      },
      "contentLength": {
        "type": "long"
      },
      "lastModified": {
        "type": "long"
      },
      "ruleId": {

# Stream Data { #stream-data }

If you want to stream data that can be structured as JSON, you should [Stream JSON Lines](../tutorial/stream-json-lines.md).

But if you want to **stream pure binary data** or strings, here's how you can do it.

/// info

Added in FastAPI 0.134.0.

///

## Use Cases { #use-cases }

You could use this if you want to stream pure strings, for example directly from the output of an **AI LLM** service.

  <expressions>
    <expression>
      <syntax>settings.offline</syntax>
      <configuration>
        <![CDATA[
    <offline>true</offline>
    ]]></configuration>
      <description>
        <![CDATA[
      Flags the system as offline, to prevent accessing the network to resolve artifacts or execute plugins.

# Veri Akışı { #stream-data }

Veriyi JSON olarak yapılandırabiliyorsanız, [JSON Lines Akışı](../tutorial/stream-json-lines.md) kullanın.

Ancak saf ikili (binary) veri ya da string akıtmak istiyorsanız, bunu şöyle yapabilirsiniz.

/// info | Bilgi

FastAPI 0.134.0 ile eklendi.

///

## Kullanım Senaryoları { #use-cases }

Doğrudan bir AI LLM (Büyük Dil Modeli) servisinin çıktısından saf string'leri akıtmak istediğinizde kullanabilirsiniz.

# 串流資料 { #stream-data }

如果你要串流可用 JSON 結構化的資料，應該[串流 JSON Lines](../tutorial/stream-json-lines.md)。

但如果你想串流純二進位資料或字串，以下是做法。

/// info

已在 FastAPI 0.134.0 新增。

///

## 使用情境 { #use-cases }

當你想串流純字串時可以用這個機制，例如直接轉發來自 AI LLM 服務的輸出。

你也可以用它來串流大型二進位檔案，邊讀邊將每個區塊（chunk）串流出去，而不必一次把整個檔案載入記憶體。

你也可以用同樣方式串流視訊或音訊，甚至可以在處理的同時即時產生並傳送。

## 使用 `yield` 的 `StreamingResponse` { #a-streamingresponse-with-yield }

		return errLifecycleDateNotMidnight
	}

	*eDate = ExpirationDate{expDate}
	return nil
}

// MarshalXML encodes expiration date if it is non-zero and encodes
// empty string otherwise
func (eDate ExpirationDate) MarshalXML(e *xml.Encoder, startElement xml.StartElement) error {
	if eDate.IsZero() {
		return nil
	}
	return e.EncodeElement(eDate.Format(time.RFC3339), startElement)
}

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

# Потоковая передача данных { #stream-data }

Если вам нужно передавать потоковые данные, которые можно представить как JSON, воспользуйтесь [стримингом JSON Lines](../tutorial/stream-json-lines.md).

Но если вы хотите передавать в потоке чистые бинарные данные или строки, ниже показано, как это сделать.

/// info | Информация

Добавлено в FastAPI 0.134.0.

///

## Варианты использования { #use-cases }