华为云AI开发平台ModelArts开发环境的应用示例_云淘科技
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。
调用查询支持的镜像列表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。
调用查询Notebook实例详情接口根据Notebook实例的ID查询实例的创建详情。
调用Notebook时长续约接口重置Notebook实例的使用时长。
调用停止Notebook实例接口停止正在运行的实例。
调用启动Notebook实例接口重新启动实例。
当Notebook实例不再需要时，调用删除Notebook实例接口删除实例。
前提条件
已获取IAM的EndPoint和ModelArts的EndPoint。
确认服务的部署区域，获取项目ID和名称、获取帐号名和帐号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。
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为用户所属的帐号名。
cn-north-1为项目名，代表服务的部署区域。
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...
调用查询支持的镜像列表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",
"dev_services": [
"NOTEBOOK",
"SSH"
],
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"name": "pytorch1.8-cuda10.2-cudnn7-ubuntu18.04",
"resource_categories": [
"CPU",
"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",
"tags": [],
"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",
"SSH"
],
"id": "e1a07296-22a8-4f05-8bc8-e936c8e54202",
"name": "mindspore1.7.0-cuda10.1-py3.7-ubuntu18.04",
"resource_categories": [
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],
"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_64-20221118143809-d65d817",
"tag": "mindspore_1.7.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20221118143809-d65d817",
"tags": [],
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"workspace_id": "0"
},
{
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"dev_services": [
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],
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],
"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_64-20221118143809-d65d817",
"tag": "mindspore_1.7.0-cpu-py_3.7-ubuntu_18.04-x86_64-20221118143809-d65d817",
"tags": [],
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},
{
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"dev_services": [
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],
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"name": "tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04",
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"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20221121111529-d65d817",
"tag": "tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20221121111529-d65d817",
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},
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],
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],
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"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/pytorch_1_10:pytorch_1.10.2-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
"tag": "pytorch_1.10.2-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
"tags": [],
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},
{
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"dev_services": [
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],
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],
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"status": "ACTIVE",
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"tag": "cuda_10.2-ubuntu_18.04-x86_64-20230404095316-7fcd503",
"tags": [],
"type": "BUILD_IN",
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},
{
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"dev_services": [
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],
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"tag": "pytorch_1.4-cuda_10.1-py37-ubuntu_18.04-x86_64-20221118143845-d65d817",
"tags": [],
"type": "BUILD_IN",
"update_at": 1648866992868,
"workspace_id": "0"
},
{
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"description": "GPU algorithm development and training, preconfigured with AI engine TensorFlow1.13.1",
"dev_services": [
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"SSH"
],
"id": "b80bbf3d-a7af-42f6-ad12-33ff9116ab0d",
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"resource_categories": [
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],
"service_type": "TRAIN",
"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/tensorflow_1_13:tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
"tag": "tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20221118143845-d65d817",
"tags": [],
"type": "BUILD_IN",
"update_at": 1648866992960,
"workspace_id": "0"
},
{
"arch": "aarch64",
"create_at": 1608937196685,
"description": "Ascend+ARM algorithm development and training. TensorFlow and MindSpore are preset in the AI engine.",
"dev_services": [
"NOTEBOOK",
"SSH"
],
"id": "59a6e9f5-93c0-44dd-85b0-82f390c5d53a",
"name": "tensorflow1.15-mindspore1.7.0-cann5.1.0-euler2.8-aarch64",
"resource_categories": [
"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": 1648866992983,
"workspace_id": "0"
},
{
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"description": "AI inference application development, preconfigured ModelBox and AI engine LibTorch, only SSH connection supported.",
"dev_services": [
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"SSH"
],
"id": "e1a07296-22a8-4f05-8bc8-e936c8e54103",
"name": "modelbox1.3.0-libtorch1.9.1-cuda10.2-cudnn8-euler2.9.6",
"resource_categories": [
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],
"service_type": "TRAIN",
"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/modelarts-modelbox-libtorch-gpu-x86:1.3.0-20221223142251-b3da6d6",
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"tags": [],
"type": "BUILD_IN",
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"workspace_id": "0"
},
{
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"description": "AI inference application development, preconfigured ModelBox and AI engine TensorRT, only SSH connection supported.",
"dev_services": [
"AI_FLOW",
"SSH"
],
"id": "e1a07296-22a8-4f05-8bc8-e936c8e54101",
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"resource_categories": [
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],
"service_type": "TRAIN",
"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/modelarts-modelbox-tensorrt-gpu-x86:1.3.0-20221223142251-b3da6d6",
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},
{
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"description": "Ascend operator development. The professional operator development tool MindStudio is preconfigured, only SSH connection supported.",
"dev_services": [
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],
"id": "e1a07296-22a8-4f05-8bc8-e936c8e54088",
"name": "mindstudio5.0.rc1-ascendsnt9-cann5.1.0-euler2.8.3-aarch64",
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"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/mindstudio-modelarts-image:5.0.rc1-20230322101430-75f458a",
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"tags": [],
"type": "BUILD_IN",
"update_at": 1648866993052,
"workspace_id": "0"
},
{
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"dev_services": [
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"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/pyspark_2_4_5:develop-remote-pyspark_2.4.5-py_3.7-cpu-ubuntu_18.04-x86_64-uid1000-20221222203856-fcc979e",
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{
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"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",
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{
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],
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"swr_path": "swr.cn-north-4.myhuaweicloud.com/hwstaff_pub_cbuinfo_ei/tensorflow2_1_1:1.0.0",
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{
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{
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"dev_services": [
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"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-cann_5.1.0-py_3.7-euler_2.8.3-aarch64-snt9-20220906",
"tag": "mindspore_1.7.0-cann_5.1.0-py_3.7-euler_2.8.3-aarch64-snt9-20220906",
"tags": [],
"type": "BUILD_IN",
"workspace_id": "0"
},
{
"arch": "aarch64",
"description": "Ascend+ARM algorithm development and training. TensorFlow is preset in the AI engine.",
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"resource_categories": [
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"status": "ACTIVE",
"swr_path": "swr.cn-north-4.myhuaweicloud.com/atelier/tensorflow_1_15_ascend:tensorflow_1.15-cann_5.1.0-py_3.7-euler_2.8.3-aarch64-snt9-20220906",
"tag": "tensorflow_1.15-cann_5.1.0-py_3.7-euler_2.8.3-aarch64-snt9-20220906",
"tags": [],
"type": "BUILD_IN",
"workspace_id": "0"
},
{
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"id": "e1ab81ef-f452-46b5-9663-6fc1f982f9e9",
"name": "grafana",
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{
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{
"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。
调用查询Notebook实例详情接口根据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Notebook时长续约接口重置Notebook实例的使用时长。
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。
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
}
调用停止Notebook实例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": []
}
调用启动Notebook实例接口重新启动实例。
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，调用删除Notebook实例接口删除实例。
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。
返回状态码“200”表示实例删除成功。
父主题： 应用示例
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