getDockerImageList

VPC 환경에서 이용 가능합니다.

AI 워크스페이스의 Docker 이미지 목록을 조회합니다.

요청

요청 파라미터

요청 헤더

공통 가이드 참조

요청 바디

• JSON

    {
        "search": {
            "typeName": "string"
            }
    }
  

• XML

    <?xml version="1.0" encoding="UTF-8"?>
    <GetAiWorkspaceDockerImageListRequest>
        <search>
            <typeName>string</typeName>
        </search>
    </GetAiWorkspaceDockerImageListRequest>
  

응답

응답 바디

• JSON

    {
        "dockerImages": {
            "additionalProp1": [
            "string"
            ],
            "additionalProp2": [
            "string"
            ],
            "additionalProp3": [
            "string"
            ]
        },
        "message": "success",
        "success": true
    }
  

• XML

    <?xml version="1.0" encoding="UTF-8"?>
    <GetAiWorkspaceDockerImageListResponse>
        <success>true</success>
        <message>success</message>
        <dockerImages>
            <additionalProp1>string</additionalProp1>
            <additionalProp2>string</additionalProp2>
            <additionalProp3>string</additionalProp3>
        </dockerImages>
    </GetAiWorkspaceDockerImageListResponse>
  

오류코드

DataForest 개요 참조

예시

요청 예시

• HTTP

  POST https://df.apigw.ntruss.com/api/v2/aiworkspaces/getDockerImageList
  HOST: df.apigw.ntruss.com
  Content-Type: application/json
  x-ncp-apigw-timestamp: 1505290625682
  x-ncp-iam-access-key: D78BB444D6D3C84CA38A
  x-ncp-apigw-signature-v2: WTPItrmMIfLUk/UyUIyoQbA/z5hq9o3G8eQMolUzTEo=
  {
      "search": {
          "typeName": "tensorflow"
          }
  }
  

• BASH

  curl -X POST "https://df.apigw.ntruss.com/api/v2/aiworkspaces/getDockerImageList" \
  -H "accept: application/json" \
  -H "Content-Type: application/json" \
  -H "x-ncp-apigw-timestamp:1505290625682" \
  -H "x-ncp-iam-access-key:D78BB444D6D3C84CA38A" \
  -H "x-ncp-apigw-signature-v2:WTPItrmMIfLUk/UyUIyoQbA/z5hq9o3G8eQMolUzTEo=" \
  -d "{ \"search\": { \"typeName\": \"tensorflow\" }}" \
  

응답 예시

• HTTP

  HTTP Status	Description
  200	OK

• BASH

  {
  "success": true,
  "dockerImages": {
      "tensorflow": [
      "r2.3.1-py3",
      "r2.1-py3",
      "r2.1",
      "r1.8",
      "r1.7-py3",
      "r1.7",
      "r1.6-py3",
      "r1.6",
      "r1.5-py3",
      "r1.4-py3",
      "r1.4",
      "r1.3",
      "r1.15-py3",
      "r1.15",
      "r1.14-py3",
      "r1.14",
      "r1.12-py3",
      "r1.12",
      "r1.11",
      "r1.10-py3",
      "r1.10"
          ]
      }
  }