Memulai grup dataset Domain (SDKuntuk JavaScript v3)

Simpan skema Avro berikut sebagai JSON file di direktori kerja Anda. Skema ini cocok dengan kolom dalam CSV file yang Anda buat saat Anda menyelesaikan. Membuat data pelatihan (Grup dataset domain)

{
  "type": "record",
  "name": "Interactions",
  "namespace": "com.amazonaws.personalize.schema",
  "fields": [
      {
          "name": "USER_ID",
          "type": "string"
      },
      {
          "name": "ITEM_ID",
          "type": "string"
      },
      {
          "name": "EVENT_TYPE",
          "type": "string"
      },
      {
          "name": "TIMESTAMP",
          "type": "long"
      }
  ],
  "version": "1.0"
}

Buat skema domain di Amazon Personalize dengan kode berikut. createDomainSchema.js Ganti SCHEMA_PATH dengan path ke file schema.json yang baru saja Anda buat. Perbarui createSchemaParam untuk menentukan nama untuk skema, dan untuk domain menentukanVIDEO_ON_DEMAND.

// Get service clients module and commands using ES6 syntax.
import { CreateSchemaCommand } from
  "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

import fs from 'fs';

let schemaFilePath = "SCHEMA_PATH";
let mySchema = "";

try {
  mySchema = fs.readFileSync(schemaFilePath).toString();
} catch (err) {
  mySchema = 'TEST' // for unit tests.
}

// Set the domain schema parameters.
export const createDomainSchemaParam = {
  name: 'NAME', /* required */
  schema: mySchema, /* required */
  domain: 'DOMAIN'   /* required for a domain dataset group, specify ECOMMERCE or VIDEO_ON_DEMAND */
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(new CreateSchemaCommand(createDomainSchemaParam));
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

Buat grup kumpulan data domain di Amazon Personalisasi dengan kode berikut. createDomainDatasetGroup.js Perbarui domainDatasetGroupParams untuk menentukan nama untuk grup kumpulan data, dan untuk domain menentukanVIDEO_ON_DEMAND.

// Get service clients module and commands using ES6 syntax.
import {  CreateDatasetGroupCommand } from
  "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the domain dataset group parameters.
export const domainDatasetGroupParams = {
  name: 'NAME',  /* required */
  domain: 'DOMAIN'   /* required for a domain dsg, specify ECOMMERCE or VIDEO_ON_DEMAND */
}

export const run = async () => {
  try {
    const response = await personalizeClient.send(new CreateDatasetGroupCommand(domainDatasetGroupParams));
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

Buat kumpulan data interaksi Item di Amazon Personalisasi dengan kode berikut. createDataset.js Perbarui createDatasetParam untuk menentukan Amazon Resource Name (ARN) dari grup dataset dan skema yang baru saja Anda buat, beri nama kumpulan data, dan untukdatasetType, tentukan. Interactions

// Get service clients module and commands using ES6 syntax.
import { CreateDatasetCommand } from
  "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the dataset's parameters.
export const createDatasetParam = {
  datasetGroupArn: 'DATASET_GROUP_ARN', /* required */
  datasetType: 'DATASET_TYPE', /* required */
  name: 'NAME', /* required */
  schemaArn: 'SCHEMA_ARN' /* required */
}

export const run = async () => {
  try {
    const response = await personalizeClient.send(new CreateDatasetCommand(createDatasetParam));
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

Impor data Anda dengan createDatasetImportJob.js kode berikut. Perbarui datasetImportJobParam untuk menentukan yang berikut:

// Get service clients module and commands using ES6 syntax.
import {CreateDatasetImportJobCommand } from
  "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the dataset import job parameters.
export const datasetImportJobParam = {
  datasetArn: 'DATASET_ARN', /* required */
  dataSource: {  /* required */
    dataLocation: 'S3_PATH'
  },
  jobName: 'NAME',/* required */
  roleArn: 'ROLE_ARN' /* required */
}

export const run = async () => {
  try {
    const response = await personalizeClient.send(new CreateDatasetImportJobCommand(datasetImportJobParam));
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();