create

VPC 환경에서 이용 가능합니다.

AI 워크스페이스를 생성합니다.

요청

요청 파라미터

요청 헤더

공통 가이드 참조

요청 바디

• JSON

    {
        "accountId": "string",
        "configuration": {
            "data": {
            "input": [
                {
                "hdfs": "string",
                "path": "string"
                }
            ],
            "output": [
                {
                "hdfs": "string",
                "overwrite": true,
                "path": "string"
                }
            ]
            },
            "docker": {
            "args": "string",
            "command": "string",
            "env": {
                "additionalProp1": "string",
                "additionalProp2": "string",
                "additionalProp3": "string"
            },
            "exposeTcpPorts": [
                0
            ],
            "image": "string",
            "workdir": "string"
            },
            "name": "string",
            "queueName": "gpu",
            "resource": {
            "cpuCount": 0,
            "gpuCount": 0,
            "gpuModel": "T4",
            "memoryMb": 0
            },
            "userPackageUri": "string"
        },
        "description": "string",
        "name": "string"
    }
  

• XML

    <?xml version="1.0" encoding="UTF-8"?>
    <CreateAiWorkspaceRequest>
        <accountId>string</accountId>
        <configuration>
            <data>
                <input>
                    <hdfs>string</hdfs>
                    <path>string</path>
                </input>
                <output>
                    <hdfs>string</hdfs>
                    <overwrite>true</overwrite>
                    <path>string</path>
                </output>
            </data>
            <docker>
                <args>string</args>
                <command>string</command>
                <env>
                    <additionalProp>string</additionalProp>
                </env>
                <exposeTcpPorts>0</exposeTcpPorts>
                <image>string</image>
                <workdir>string</workdir>
            </docker>
            <name>string</name>
            <queueName>gpu</queueName>
            <resource>
                <cpuCount>0</cpuCount>
                <gpuCount>0</gpuCount>
                <gpuModel>T4</gpuModel>
                <memoryMb>0</memoryMb>
            </resource>
            <userPackageUri>string</userPackageUri>
        </configuration>
        <description>string</description>
        <name>string</name>
    </CreateAiWorkspaceRequest>
  

응답

응답 바디

• JSON

    {
        "id": "string",
        "message": "string",
        "success": true
    }
  

• XML

    <?xml version="1.0" encoding="UTF-8"?>
    <CreateAiWorkspaceResponse>
        <id>string</id>
        <message>string</message>
        <success>true</success>
    </CreateAiWorkspaceResponse>
  

오류코드

DataForest 개요 참조

예시

요청 예시

• HTTP

  POST https://df.apigw.ntruss.com/api/v2/aiworkspaces/create
  HOST: df.apigw.ntruss.com
  Content-Type: application/json
  x-ncp-apigw-signature-v2: Azm1WBMWDgEONUCUbsVkB4tRIpc053uOHU8bitbQRtU=
  x-ncp-apigw-timestamp: 1658898041497
  x-ncp-iam-access-key: 17F9A6E9F72BD92ED94B
  
  {
      "accountId": "6COytUeFj7b8eOhq2L5zL",
      "configuration": {
      "data": {
      "input": [
          {
      "hdfs": "string",
      "path": "string"
          }
      ],
      "output": [
          {
      "hdfs": "string",
      "overwrite": true,
      "path": "string"
          }
      ]
     },
      "docker": {
          "command": "ls",
          "image": "tensorflow:r2.3.1-py3",
          "workdir": "/root/"
      },
      "name": "test",
      "queueName": "gpu",
      "resource": {
      "cpuCount": 1,
      "gpuCount": 1,
      "gpuModel": "T4",
      "memoryMb": 1024
      },
      "userPackageUri": "string"
  },
      "description":"test",
      "name": "api-test"
  }
  

• BASH

  curl -X POST "https://df.apigw.ntruss.com/api/v2/aiworkspaces/create"
  -H "accept: application/json" 
  -H "Content-Type: application/json"
  -H "x-ncp-iam-access-key: F5O55GOTR4CqYJqPDnCu" 
  -H "x-ncp-apigw-timestamp: 1685670008615" 
  -H "x-ncp-apigw-signature-v2: uirGHd38qFol18U2cS+oM8USE9GAvOqBoixLrUv8ePw=" 
  -d "{ \"accountId\": \"2mUVZaHseGadiNFAg5MHjk\", \"configuration\": { \"data\": {\"input\": [\{\"hdfs\": \"string\",\"path\": \"string\"\}\],\"output\": [\{\"hdfs\": \"string\",\"overwrite\": true,\"path\": \"string\"\}\] }, \"docker\": {\"command\": \"ls\",\"image\": \"tensorflow:r2.3.1-py3\",\"workdir\": \"/root/\" }, \"name\": \"test\", \"queueName\": \"gpu\", \"resource\": {\"cpuCount\": 1,\"gpuCount\": 1,\"gpuModel\": \"T4\",\"memoryMb\": 1024 }, \"userPackageUri\": \"string\" },\t\"description\":\"test\", \"name\": \"api-test\"}"
  

응답 예시

• HTTP

  HTTP Status	Description
  200	OK

• BASH

  {
  "success": true,
  "id": "YPIolVXWcPTcCs9dNi89Gn"
  }
  

오류 코드 예시

• BASH

  {
      "message": "invalid request parameter (configuration.docker.image, 'tensorflow/r2.3.1-py3'). \"^(dataforest/)?([a-z0-9._-]{1,30}):([a-z0-9._-]{1,20})$\"와 일치해야 합니다",
      "success": false
  }