如何使用node.js客户端库以编程方式从google-cloud-automl获取模型ID [英] How to programmatically get model id from google-cloud-automl with node.js client library

问题描述

现在，我可以使用autoML node.js客户端库在google-cloud-automl上训练模型.

Now i can use autoML node.js client library to train the model on google-cloud-automl.

问::完成模型训练后，如何以编程方式获取模型ID?

Q: How can i programmatically get the model id when finished training the model?.

目标:我将使用该ID来部署没有Web界面的模型.

Goal: I will use that id to deploy the model without web interface.

尝试过:首先，我认为这是训练模型(operation.name)时的响应方式.但是operation.name显示 projects/$ {projectId}/locations/$ {location}/operations/$ {operationId} ，其中不包含模型ID.所以我不知道如何以编程方式获取模型ID.

Tried: At first, i thought it is in the response when training the model (operation.name). But the operation.name showed projects/${projectId}/locations/${location}/operations/${operationId}, which is not include model id. So i have no idea how to programmatically get the model id.

任何建议将不胜感激.

培训代码，来自: https://cloud.google.com/vision/automl/docs/train-edge

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const dataset_id = 'YOUR_DATASET_ID';
// const displayName = 'YOUR_DISPLAY_NAME';

// Imports the Google Cloud AutoML library
const {AutoMlClient} = require(`@google-cloud/automl`).v1;

// Instantiates a client
const client = new AutoMlClient();

async function createModel() {
  // Construct request
  const request = {
    parent: client.locationPath(projectId, location),
    model: {
      displayName: displayName,
      datasetId: datasetId,
      imageClassificationModelMetadata: {
        trainBudgetMilliNodeHours: 24000,
      },
    },
  };

  // Don't wait for the LRO
  const [operation] = await client.createModel(request);
  console.log(`Training started... ${operation}`);
  console.log(`Training operation name: ${operation.name}`);
}

createModel();

用于部署的代码来自: https://cloud.google.com/vision/automl/docs/deploy (必须提供型号ID)

code for deploy from: https://cloud.google.com/vision/automl/docs/deploy (model id is required)

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const modelId = 'YOUR_MODEL_ID';

// Imports the Google Cloud AutoML library
const {AutoMlClient} = require(`@google-cloud/automl`).v1;

// Instantiates a client
const client = new AutoMlClient();

async function deployModel() {
  // Construct request
  const request = {
    name: client.modelPath(projectId, location, modelId),
  };

  const [operation] = await client.deployModel(request);

  // Wait for operation to complete.
  const [response] = await operation.promise();
  console.log(`Model deployment finished. ${response}`);
}

deployModel();

推荐答案

创建模型是一项长期运行(LRO)操作，因此响应不会包含模型元数据，而是包含有关将创建的操作的信息模型:

Creating the model is a Long Running Operation (LRO) so the response is not going to contain the model metadata, but instead contains information about the operation that will create the model:

{
  "name": "projects/project-id/locations/us-central1/operations/ICN2106290444865378475",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.automl.v1.OperationMetadata",
    "createTime": "2019-10-30T20:06:08.253243Z",
    "updateTime": "2019-10-30T20:06:08.253243Z",
    "createModelDetails": {}
  }
}

您可以随时检索该操作是否完成:

You can retrieve the operation at any point to see if it has completed:

/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const operationId = 'YOUR_OPERATION_ID'; // e.g. ICN2106290444865378475

// Imports the Google Cloud AutoML library
const {AutoMlClient} = require(`@google-cloud/automl`).v1;

// Instantiates a client
const client = new AutoMlClient();

async function getOperationStatus() {
  // Construct request
  const request = {
    name: `projects/${projectId}/locations/${location}/operations/${operationId}`,
  };

  const [response] = await client.operationsClient.getOperation(request);

  console.log(`Name: ${response.name}`);
  console.log(`Operation details:`);
  console.log(`${response}`);
}

getOperationStatus();

上面的Node.js代码来自使用文档中长期运行的操作部分.

The above Node.js code is from the Working with long-running operations section of the documentation.

对于完成的创建模型操作，您应该看到与以下类似的输出:

You should see output similar to the following for a completed create model operation:

{
  "name": "projects/project-id/locations/us-central1/operations/operation-id",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.automl.v1.OperationMetadata",
    "createTime": "2019-07-22T18:35:06.881193Z",
    "updateTime": "2019-07-22T19:58:44.972235Z",
    "createModelDetails": {}
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.automl.v1.Model",
    "name": "projects/project-id/locations/us-central1/models/model-id"
  }
}

然后您可以从响应中获取 model-id :

You could then get the model-id from the response:

console.log(response.response.name); // Full model path
console.log(response.response.name.replace(/projects\/[a-zA-Z0-9-]*\/locations\/[a-zA-Z0-9-]*\/models\//,'')); // Just the model-id

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