九游平台/ ai开发平台modelarts/ api参考/ 应用示例/ 开发环境的应用示例

更新时间：2024-05-30 gmt 08:00

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开发环境的应用示例-九游平台

本节通过调用一系列api，以创建开发环境实例为例介绍modelarts api的使用流程。

概述

创建开发环境实例的流程如下：

调用认证鉴权接口获取用户token，在后续的请求中需要将token放到请求消息头中作为认证。
调用接口查看开发环境的镜像类型和版本。
调用创建notebook实例接口创建一个notebook实例。
调用接口根据notebook实例的id查询实例的创建详情。
调用接口重置notebook实例的使用时长。
调用接口停止正在运行的实例。
调用接口重新启动实例。
当notebook实例不再需要时，调用接口删除实例。

前提条件

已获取和modelarts的endpoint。
确认服务的部署区域，获取项目id和名称、获取账号名和id和获取用户名和用户id。

操作步骤

调用认证鉴权接口获取用户的token。
1. 请求消息体：
  uri格式：post https://{iam_endpoint}/v3/auth/tokens
  
  请求消息头：content-type →application/json
  请求body：
```
{
  "auth": {
    "identity": {
      "methods": ["password"],
      "password": {
        "user": {
          "name": "user_name", 
          "password": "user_password",
          "domain": {
            "name": "domain_name"  
          }
        }
      }
    },
    "scope": {
      "project": {
        "name": "cn-north-1"  
      }
    }
  }
}
```
  其中，加粗的斜体字段需要根据实际值填写：
  - iam_endpoint为iam的终端节点。
  - user_name为iam用户名。
  - user_password为用户登录密码。
  - domain_name为用户所属的账号名。
  - cn-north-1为项目名，代表服务的部署区域。
2. 返回状态码“201 created”，在响应header中获取“x-subject-token”的值即为token，如下所示：
```
x-subject-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...
```

调用接口查看开发环境的镜像类型和版本。

请求消息体：
uri格式：get https://{ma_endpoint}/v1/{project_id}/images
请求消息头：
- x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...
- content-type →application/json
其中，加粗的斜体字段需要根据实际值填写：
- ma_endpoint为modelarts的终端节点。
- project_id为用户的项目id。
- “x-auth-token”的值是上一步获取到的token值。

返回状态码为“200”，响应body如下所示：

{
 "current": 0,
 "data": [
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   "description": "cpu and gpu general algorithm development and training, preconfigured with ai engine pytorch1.8",
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   ],
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    "gpu"
   ],
   "service_type": "common",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/pytorch_1_8:pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
   "tag": "pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
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   "type": "build_in",
   "update_at": 1648866992843,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "cpu and gpu general algorithm development and training, preconfigured with ai engine mindspore1.7.0 and cuda10.1",
   "dev_services": [
    "notebook",
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   ],
   "id": "e1a07296-22a8-4f05-8bc8-e936c8e54202",
   "name": "mindspore1.7.0-cuda10.1-py3.7-ubuntu18.04",
   "resource_categories": [
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   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_7_0:mindspore_1.7.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20221118143809-d65d817",
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   "status": "active",
   "status_message": "",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/hwstaff_pub_cbuinfo_ei/grafana:v1.0",
   "tag": "v1.0",
   "tags": [],
   "type": "dedicated",
   "update_at": 1678261330238,
   "visibility": "private",
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "create_at": 1681973786157,
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "a5a43175-30a6-43d2-9596-38bee562f8c0",
   "name": "pytorch_1_8",
   "namespace": "sdk-test2",
   "origin": "customize",
   "resource_categories": [
    "cpu",
    "gpu"
   ],
   "service_type": "unknown",
   "size": 2308736380,
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/sdk-test2/pytorch_1_8:v2",
   "tag": "v2",
   "tags": [],
   "type": "dedicated",
   "update_at": 1681973786157,
   "visibility": "private",
   "workspace_id": "0"
  },
  {
   "arch": "aarch64",
   "create_at": 1682670088194,
   "description": "ascend arm algorithm development and training. mindspore is preset in the ai engine.",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "75cbf0f2-0a3e-48c9-b2c4-7e78af18d86e",
   "name": "mindspore_1.9.0-cann_6.0.0-py_3.7-euler_2.8.3",
   "namespace": "atelier",
   "resource_categories": [
    "ascend"
   ],
   "service_type": "train",
   "size": 4011027643,
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_9_ascend:mindspore_1.9.0-cann_6.0.0-py_3.7-euler_2.8.3-aarch64-snt9-20221116111529",
   "tag": "mindspore_1.9.0-cann_6.0.0-py_3.7-euler_2.8.3-aarch64-snt9-20221116111529",
   "tags": [],
   "type": "build_in",
   "update_at": 1682670088197,
   "visibility": "public",
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "notebook2.0 gpu",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "e1a07296-22a8-4f05-8bc8-e936c8e54092",
   "name": "notebook2.0-mul-kernel-cpu-cp36",
   "resource_categories": [
    "gpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-gpu-cp36:5.0.1-release-v2-20220505",
   "tag": "5.0.1-release-v2-20220505",
   "tags": [],
   "type": "build_in",
   "update_at": 1628221753209,
   "workspace_id": "0"
  },
  {
   "arch": "aarch64",
   "create_at": 1683537880541,
   "description": "ascend arm algorithm development and training. mindspore is preset in the ai engine.",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "31ae7ba4-63e6-4fa6-8aeb-cb382953e414",
   "name": "mindspore_1.10.0-cann_6.0.1-py_3.7-euler_2.8.3",
   "namespace": "atelier",
   "resource_categories": [
    "ascend"
   ],
   "service_type": "common",
   "size": 4057170552,
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_10_ascend:mindspore_1.10.0-cann_6.0.1-py_3.7-euler_2.8.3-aarch64-snt9-20230303173945-815d627",
   "tag": "mindspore_1.10.0-cann_6.0.1-py_3.7-euler_2.8.3-aarch64-snt9-20230303173945-815d627",
   "tags": [],
   "type": "build_in",
   "update_at": 1683537880548,
   "visibility": "public",
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "cpu algorithm development and training, including the mlstudio tool for graphical ml algorithm development, and preconfigured pyspark 2.3.2",
   "dev_services": [
    "notebook"
   ],
   "id": "0e5f9a41-c9c2-4d9a-a190-4e1b17a7782f",
   "name": "mlstudio-pyspark2.3.2-ubuntu16.04",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mlstudio-cp36:3.3.1.9",
   "tag": "3.3.1.9",
   "tags": [],
   "type": "build_in",
   "update_at": 1648867218685,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "notebook2.0 cpu base image",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "e1a07296-22a8-4f05-8bc8-e936c8e54090",
   "name": "notebook2.0-mul-kernel-cpu-cp36",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-cpu-cp36:5.0.1-release-v2-20220505",
   "tag": "5.0.1-release-v2-20220505",
   "tags": [],
   "type": "build_in",
   "update_at": 1628221753345,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "gpu algorithm development and training, preconfigured with the ai engine mindspore-gpu",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "d7fb5355-9045-4deb-94c6-4033e1e62728",
   "name": "mindspore1.2.0-openmpi2.1.1-ubuntu18.04",
   "resource_categories": [
    "gpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_2_0:mindspore_1.2.0-py_3.7-ubuntu_18.04-x86_64-20221118143809-d65d817",
   "tag": "mindspore_1.2.0-py_3.7-ubuntu_18.04-x86_64-20221118143809-d65d817",
   "tags": [],
   "type": "build_in",
   "update_at": 1636963735672,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "create_at": 1628757809703,
   "description": "cpu operations research development, preconfigured with cylp, cbcpy, ortools, cplex(community).",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "b9933af0-3119-4045-a427-5e668327dafd",
   "name": "cylp0.91.4-cbcpy2.10-ortools9.0-cplex20.1.0-ubuntu18.04",
   "namespace": "atelier",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "size": 2550402546,
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/or_1_0_0:or_1.0.0-py_3.7-ubuntu_18.04-x86_64-roma-20220812093355-e50493d",
   "tag": "or_1.0.0-py_3.7-ubuntu_18.04-x86_64-roma-20220812093355-e50493d",
   "tags": [],
   "type": "build_in",
   "update_at": 1642836699554,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "cpu algorithm development and training, including the mlstudio tool for graphical ml algorithm development, and preconfigured pyspark 2.4.5",
   "dev_services": [
    "notebook"
   ],
   "id": "0b2d0728-4c01-11ec-994f-001a7dda7111",
   "name": "mlstudio-pyspark2.4.5-ubuntu18.04",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mlstudio-cp37:5.0.1-mls-20230118153946",
   "tag": "5.0.1-mls-20230118153946",
   "tags": [],
   "type": "build_in",
   "update_at": 1648867218708,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "create_at": 1605759392404,
   "description": "gpu algorithm development and training, preconfigured with the ai engine mindspore-gpu",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "89de30ec-6871-4f22-84af-be37ef28335d",
   "name": "mindspore1.2.0-cuda10.1-cudnn7-ubuntu18.04",
   "resource_categories": [
    "gpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_2_0:mindspore_1.2.0-py_3.7-cuda_10.1-ubuntu_18.04-x86_64-20221118143809-d65d817",
   "tag": "mindspore_1.2.0-py_3.7-cuda_10.1-ubuntu_18.04-x86_64-20221118143809-d65d817",
   "tags": [],
   "type": "build_in",
   "update_at": 1648867218639,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "description",
   "dev_services": [
    "notebook"
   ],
   "id": "88bd7bcd-0c91-45b2-ad0e-ef65553d19c5",
   "name": "dls-feature-engineering",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-dls-feature-engineering-cpu-py37:3.2.0109",
   "tag": "3.2.0109",
   "tags": [],
   "type": "build_in",
   "update_at": 1623899358020,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "description",
   "dev_services": [
    "notebook"
   ],
   "id": "1d1b1327-b243-425b-ad81-2689584c1acc",
   "name": "mls-feature-engineering",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-mls-feature-engineering-cpu-py37:3.2.0109",
   "tag": "3.2.0109",
   "tags": [],
   "type": "build_in",
   "update_at": 1623899357995,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "mindspore1.7.0 and mindquantum0.6.0",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "6592fa02-a40a-4054-a05f-f22215e45ec1",
   "name": "mindquantum0.6.0-mindspore1.7.0-ubuntu18.04",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_7_0:mindspore_1.7.0-cpu-py_3.7-ubuntu_18.04-x86_64-20220727174747-6a4cdd5",
   "tag": "mindspore_1.7.0-cpu-py_3.7-ubuntu_18.04-x86_64-20220727174747-6a4cdd5",
   "tags": [],
   "type": "build_in",
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "create_at": 1628757853111,
   "description": "cpu and gpu algorithm development and training, preconfigured with ai engine ray for reinforcement learning.",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "4233d6f9-c3b5-4cf2-9ee6-2ef565935d6d",
   "name": "rlstudio1.0.0-ray1.3.0-cuda10.1-ubuntu18.04",
   "namespace": "rl-dev",
   "resource_categories": [
    "cpu",
    "gpu"
   ],
   "service_type": "train",
   "size": 4857883146,
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-rl-1.0.0-kernel-cp37:rl-v1220211203",
   "tag": "rl-v1220211203",
   "tags": [],
   "type": "build_in",
   "update_at": 1642836699527,
   "workspace_id": "0"
  },
  {
   "arch": "aarch64",
   "description": "ascend arm algorithm development and training. tensorflow and mindspore are preset in the ai engine.",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "59a6e9f5-93c0-44dd-85b0-82f390c5d53b",
   "name": "tensorflow1.15-mindspore1.7.0-cann5.1.0-euler2.8-aarch64",
   "resource_categories": [
    "cpu",
    "ascend"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-arm-ascend-cp37:5.0.1-c81-20220726",
   "tag": "5.0.1-c81-20220726",
   "tags": [],
   "type": "build_in",
   "update_at": 1640398185602,
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "cpu general algorithm development and training, preconfigured with ai engine mindspore1.7.0",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "9d63f4d1-dc09-4873-b669-3483cea777c0",
   "name": "mindspore1.7.0-ubuntu18.04-default",
   "resource_categories": [
    "cpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_7_0:mindspore_1.7.0-cpu-py_3.7-ubuntu_18.04-x86_64-20220625205423-5a13f29",
   "tag": "mindspore_1.7.0-cpu-py_3.7-ubuntu_18.04-x86_64-20220625205423-5a13f29",
   "tags": [],
   "type": "build_in",
   "workspace_id": "0"
  },
  {
   "arch": "x86_64",
   "description": "cpu and gpu general algorithm development and training, preconfigured with ai engine mindspore1.7.0 and cuda10.1",
   "dev_services": [
    "notebook",
    "ssh"
   ],
   "id": "e1a07296-22a8-4f05-8bc8-e936c8e54203",
   "name": "mindspore1.7.0-ubuntu18.04-default",
   "resource_categories": [
    "gpu"
   ],
   "service_type": "train",
   "status": "active",
   "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindspore_1_7_0:mindspore_1.7.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220625205423-5a13f29",
   "tag": "mindspore_1.7.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220625205423-5a13f29",
   "tags": [],
   "type": "build_in",
   "workspace_id": "0"
  }
 ],
 "pages": 1,
 "size": 200,
 "total": 39
}

根据“description”和“name”字段选择创建notebook实例所需要的镜像，并记录对应的“id”，本章以tensorflow引擎为例创建notebook实例，记录“id”为"e1a07296-22a8-4f05-8bc8-e936c8e54100"

调用创建notebook实例接口创建一个notebook实例。

请求消息体：
uri格式：post https://{ma_endpoint}/v1/{project_id}/notebooks
请求消息头：
- x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...
- content-type →application/json
请求body：
```
{
  "name" : "notebooks_test",
  "feature" : "notebook",
  "workspace_id" : "0",
  "description" : "api-test",
  "flavor" : "modelarts.vm.cpu.2u",
  "image_id" : "e1a07296-22a8-4f05-8bc8-e936c8e54090",
  "volume" : {
    "category" : "efs",
    "ownership" : "managed",
    "capacity" : 50
  }
}
```
其中，加粗的斜体字段需要根据实际值填写
- ma_endpoint为modelarts的终端节点。
- project_id为用户的项目id。
- x-auth-token的值是上一步获取到的token值。
- “flavor”为notebook实例规格
- “image_id”为notebook实例镜像id

返回状态码为“200”，响应body如下所示：

{
 "action_progress": [
  {
   "step": 4,
   "status": "waiting",
   "description": "initialize the notebook instance."
  },
  {
   "step": 3,
   "status": "waiting",
   "description": "configuring the network."
  },
  {
   "step": 2,
   "status": "waiting",
   "description": "prepare the compute resource."
  },
  {
   "step": 1,
   "status": "waiting",
   "description": "prepare the storage."
  }
 ],
 "create_at": 1687656452472,
 "description": "api-test",
 "endpoints": [],
 "feature": "notebook",
 "flavor": "modelarts.vm.cpu.2u",
 "id": "936bea3e-d3df-435e-8b58-d817283284ae",
 "image": {
  "description": "",
  "id": "e1a07296-22a8-4f05-8bc8-e936c8e54090",
  "name": "notebook2.0-mul-kernel-cpu-cp36",
  "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-cpu-cp36:5.0.1-release-v2-20220505",
  "tag": "5.0.1-release-v2-20220505",
  "type": "build_in"
 },
 "lease": {
  "create_at": 1687656452470,
  "duration": 3600000,
  "enable": true,
  "type": "timing",
  "update_at": 1687656452470
 },
 "name": "notebooks_test",
 "status": "running",
 "tags": [],
 "token": "3452e0d5-15fe-a20d-18a2-010a574aeaaf",
 "update_at": 1687656452588,
 "user_id": "99250e439b33431081xxxxxxxxxxa885",
 "workspace_id": "0",
 "billing_items": []
}

根据响应可以了解notebook实例详情，其中“status”为“running”表示notebook实例创建成功。

调用接口根据notebook实例的id查询实例的创建详情。

请求消息体：
uri格式：get https://{ma_endpoint}/v1/{project_id}/notebooks/{id}

请求消息头：x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...

其中，加粗的斜体字段需要根据实际值填写。

返回状态码为“200”，响应body如下所示：

{
 "create_at": 1687656452472,
 "data_volumes": [],
 "description": "api-test",
 "endpoints": [
  {
   "service": "notebook",
   "uri": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab"
  }
 ],
 "feature": "notebook",
 "flavor": "modelarts.vm.cpu.2u",
 "id": "936bea3e-d3df-435e-8b58-d817283284ae",
 "image": {
  "description": "",
  "id": "e1a07296-22a8-4f05-8bc8-e936c8e54090",
  "name": "notebook2.0-mul-kernel-cpu-cp36",
  "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-cpu-cp36:5.0.1-release-v2-20220505",
  "tag": "5.0.1-release-v2-20220505",
  "type": "build_in"
 },
 "lease": {
  "create_at": 1687656452470,
  "duration": 3627372,
  "enable": true,
  "type": "timing",
  "update_at": 1687656479842
 },
 "name": "notebooks_test",
 "status": "running",
 "tags": [],
 "token": "3452e0d5-15fe-a20d-18a2-010a574aeaaf",
 "update_at": 1687656479880,
 "url": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab",
 "user": {
  "domain": {
   "id": "878991804cdc4ba597xxxxxxxxxx9dd9",
   "name": "hwstaff_pub_cbuinfo_ei"
  },
  "id": "99250e439b33431081xxxxxxxxxxa885",
  "name": "xxxxxxxxxx"
 },
 "user_id": "99250e439b33431081xxxxxxxxxxa885",
 "volume": {
  "category": "efs",
  "ownership": "managed",
  "mount_path": "/home/ma-user/work/",
  "capacity": 50,
  "read_only": false
 },
 "workspace_id": "0",
 "billing_items": [
  "compute"
 ]
}

调用接口重置notebook实例的使用时长。
1. 请求消息体：
  uri格式：patch https://{ma_endpoint}/v1/{project_id}notebooks/{id}/lease
  
  请求消息头：
  - x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...
  - content-type →application/json
  请求body：
```
{
  "duration": 3600000,
  "type": "timing"
}
```
  其中，加粗的字段需要根据实际值填写：
  - “duration”为实例运行时长，以创建时间为起点计算，即“创建时间 duration > 当前时刻”时，系统会自动停止实例。
  - “type”为自定停止类别，默认为timing。
2. 返回状态码为“200”表示标注成功，响应body如下所示：
```
{
 "create_at": 1687656452470,
 "duration": 4657544,
 "enable": true,
 "type": "timing",
 "update_at": 1687657510014
}
```

调用接口停止正在运行的实例。

消息请求体：
uri格式：posthttps://{ma_endpoint}//v1/{project_id}/notebooks/{id}/stop

请求消息头：x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...

其中，加粗的斜体字段需要根据实际值填写。

返回状态码为“200”，响应body如下所示：

{
 "create_at": 1687656452472,
 "data_volumes": [],
 "description": "api-test",
 "endpoints": [
  {
   "service": "notebook",
   "uri": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab"
  }
 ],
 "feature": "notebook",
 "flavor": "modelarts.vm.cpu.2u",
 "id": "936bea3e-d3df-435e-8b58-d817283284ae",
 "image": {
  "description": "",
  "id": "e1a07296-22a8-4f05-8bc8-e936c8e54090",
  "name": "notebook2.0-mul-kernel-cpu-cp36",
  "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-cpu-cp36:5.0.1-release-v2-20220505",
  "tag": "5.0.1-release-v2-20220505",
  "type": "build_in"
 },
 "lease": {
  "create_at": 1687656452470,
  "duration": 6199814,
  "enable": true,
  "type": "timing",
  "update_at": 1687659052284
 },
 "name": "notebooks_test",
 "status": "stopping",
 "tags": [],
 "token": "3452e0d5-15fe-a20d-18a2-010a574aeaaf",
 "update_at": 1687656479880,
 "url": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab",
 "user": {
  "domain": {
   "id": "878991804cdc4ba597xxxxxxxxxx9dd9",
   "name": "hwstaff_test"
  },
  "id": "99250e439b33431081xxxxxxxxxxa885",
  "name": "test"
 },
 "user_id": "99250e439b33431081xxxxxxxxxxa885",
 "volume": {
  "category": "efs",
  "ownership": "managed",
  "mount_path": "/home/ma-user/work/",
  "capacity": 50,
  "read_only": false
 },
 "workspace_id": "0",
 "billing_items": []
}

调用接口重新启动实例。

消息请求体：
uri格式：get https://{ma_endpoint}/v1/{project_id}/notebooks/{id}/start

请求消息头：x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...

其中，加粗的斜体字段需要根据实际值填写。

返回状态码为“200”，响应body如下所示：

{
 "create_at": 1687656452472,
 "data_volumes": [],
 "description": "api-test",
 "endpoints": [
  {
   "service": "notebook",
   "uri": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab"
  }
 ],
 "feature": "notebook",
 "flavor": "modelarts.vm.cpu.2u",
 "id": "936bea3e-d3df-435e-8b58-d817283284ae",
 "image": {
  "description": "",
  "id": "e1a07296-22a8-4f05-8bc8-e936c8e54090",
  "name": "notebook2.0-mul-kernel-cpu-cp36",
  "swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/notebook2.0-mul-kernel-cpu-cp36:5.0.1-release-v2-20220505",
  "tag": "5.0.1-release-v2-20220505",
  "type": "build_in"
 },
 "lease": {
  "create_at": 1687656452470,
  "duration": 6540099,
  "enable": true,
  "type": "timing",
  "update_at": 1687659392569
 },
 "name": "notebooks_test",
 "status": "starting",
 "tags": [],
 "token": "6f773860-21d4-9fe8-75c8-a38ea13ebf08",
 "update_at": 1687659203630,
 "url": "https://authoring-modelarts-cnnorth4.huaweicloud.com/936bea3e-d3df-435e-8b58-d817283284ae/lab",
 "user": {
  "domain": {
   "id": "878991804cdc4ba597xxxxxxxxxx9dd9",
   "name": "hwstaff_test"
  },
  "id": "99250e439b33431081xxxxxxxxxxa885",
  "name": "test"
 },
 "user_id": "99250e439b33431081xxxxxxxxxxa885",
 "volume": {
  "category": "efs",
  "ownership": "managed",
  "mount_path": "/home/ma-user/work/",
  "capacity": 50,
  "read_only": false
 },
 "workspace_id": "0",
 "billing_items": []
}

当notebook实例不再需要时，调用接口删除实例。
1. 请求消息体：
  uri格式：delete https://{ma_endpoint}/v1/{project_id}/notebooks/{id}
  
  请求消息头：
  - x-auth-token →miizmgyjkozihvcnaqccoiizizccgyccaqexdtalbglghkgbzqmeagewgxxxxxx...
  - content-type →application/json
  其中，加粗的斜体字段需要根据实际值填写。
2. 返回状态码“200”表示实例删除成功。

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