feat(samples): add feature-values apis samples (googleapis#313)

samples/batch-read-feature-values-sample.js

@@ -0,0 +1,136 @@
+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ * Batch reads Feature values from a Featurestore.
+ * See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+'use strict';
+
+async function main(
+  project,
+  featurestoreId,
+  inputCsvFile,
+  destinationTableUri,
+  location = 'us-central1',
+  apiEndpoint = 'us-central1-aiplatform.googleapis.com',
+  timeout = 300000
+) {
+  // [START aiplatform_batch_read_feature_values_sample]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const project = 'YOUR_PROJECT_ID';
+  // const featurestoreId = 'YOUR_FEATURESTORE_ID';
+  // const inputCsvFile = 'YOUR_INPUT_CSV_FILE_URI';
+  // const destinationTableUri = 'YOUR_BQ_DESTINATION_TABLE_URI';
+  // const location = 'YOUR_PROJECT_LOCATION';
+  // const apiEndpoint = 'YOUR_API_ENDPOINT';
+  // const timeout = <TIMEOUT_IN_MILLI_SECONDS>;
+
+  // Imports the Google Cloud Featurestore Service Client library
+  const {FeaturestoreServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: apiEndpoint,
+  };
+
+  // Instantiates a client
+  const featurestoreServiceClient = new FeaturestoreServiceClient(
+    clientOptions
+  );
+
+  async function batchReadFeatureValues() {
+    // Configure the featurestoreId resource
+    const featurestore = `projects/${project}/locations/${location}/featurestores/${featurestoreId}`;
+    const csvReadInstances = {
+      gcsSource: {
+        uris: [inputCsvFile],
+      },
+    };
+
+    const destination = {
+      bigqueryDestination: {
+        // # Output to BigQuery table created earlier
+        outputUri: destinationTableUri,
+      },
+    };
+
+    const usersFeatureSelector = {
+      idMatcher: {
+        ids: [
+          // features, use "*" if you want to select all features within this entity type
+          'age',
+          'gender',
+          'liked_genres',
+        ],
+      },
+    };
+
+    const usersEntityTypeSpec = {
+      // Read the 'age', 'gender' and 'liked_genres' features from the 'perm_users' entity
+      entityTypeId: 'perm_users',
+      featureSelector: usersFeatureSelector,
+    };
+
+    const moviesFeatureSelector = {
+      idMatcher: {
+        ids: ['*'],
+      },
+    };
+
+    const moviesEntityTypeSpec = {
+      // Read the all features from the 'perm_movies' entity
+      entityTypeId: 'perm_movies',
+      featureSelector: moviesFeatureSelector,
+    };
+
+    const entityTypeSpecs = [usersEntityTypeSpec, moviesEntityTypeSpec];
+
+    // Construct request
+    const request = {
+      featurestore: featurestore,
+      csvReadInstances: csvReadInstances,
+      destination: destination,
+      entityTypeSpecs: entityTypeSpecs,
+    };
+
+    // Batch Read Feature Values Request
+    const [operation] = await featurestoreServiceClient.batchReadFeatureValues(
+      request,
+      {timeout: Number(timeout)}
+    );
+    const [response] = await operation.promise();
+
+    console.log('Batch read feature values response');
+    console.log('Raw response:');
+    console.log(JSON.stringify(response, null, 2));
+  }
+  batchReadFeatureValues();
+  // [END aiplatform_batch_read_feature_values_sample]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

samples/export-feature-values-sample.js

@@ -0,0 +1,105 @@
+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ * Exports Feature values from all the entities of a target EntityType.
+ * See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+'use strict';
+
+async function main(
+  project,
+  featurestoreId,
+  entityTypeId,
+  destinationTableUri,
+  location = 'us-central1',
+  apiEndpoint = 'us-central1-aiplatform.googleapis.com',
+  timeout = 300000
+) {
+  // [START aiplatform_export_feature_values_sample]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const project = 'YOUR_PROJECT_ID';
+  // const featurestoreId = 'YOUR_FEATURESTORE_ID';
+  // const entityTypeId = 'YOUR_ENTITY_TYPE_ID';
+  // const destinationTableUri = 'YOUR_BQ_DESTINATION_TABLE_URI';
+  // const location = 'YOUR_PROJECT_LOCATION';
+  // const apiEndpoint = 'YOUR_API_ENDPOINT';
+  // const timeout = <TIMEOUT_IN_MILLI_SECONDS>;
+
+  // Imports the Google Cloud Featurestore Service Client library
+  const {FeaturestoreServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: apiEndpoint,
+  };
+
+  // Instantiates a client
+  const featurestoreServiceClient = new FeaturestoreServiceClient(
+    clientOptions
+  );
+
+  async function exportFeatureValues() {
+    // Configure the entityType resource
+    const entityType = `projects/${project}/locations/${location}/featurestores/${featurestoreId}/entityTypes/${entityTypeId}`;
+
+    const destination = {
+      bigqueryDestination: {
+        // # Output to BigQuery table created earlier
+        outputUri: destinationTableUri,
+      },
+    };
+
+    const featureSelector = {
+      idMatcher: {
+        ids: ['age', 'gender', 'liked_genres'],
+      },
+    };
+
+    const request = {
+      entityType: entityType,
+      destination: destination,
+      featureSelector: featureSelector,
+      fullExport: {},
+    };
+
+    // Export Feature Values Request
+    const [operation] = await featurestoreServiceClient.exportFeatureValues(
+      request,
+      {timeout: Number(timeout)}
+    );
+    const [response] = await operation.promise();
+
+    console.log('Export feature values response');
+    console.log('Raw response:');
+    console.log(JSON.stringify(response, null, 2));
+  }
+  exportFeatureValues();
+  // [END aiplatform_export_feature_values_sample]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

samples/export-feature-values-snapshot-sample.js

@@ -0,0 +1,113 @@
+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ * Exports Feature values with snapshot from all the entities of a target EntityType.
+ * See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+'use strict';
+
+async function main(
+  project,
+  featurestoreId,
+  entityTypeId,
+  destinationTableUri,
+  timestamp,
+  location = 'us-central1',
+  apiEndpoint = 'us-central1-aiplatform.googleapis.com',
+  timeout = 300000
+) {
+  // [START aiplatform_export_feature_values_snapshot_sample]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const project = 'YOUR_PROJECT_ID';
+  // const featurestoreId = 'YOUR_FEATURESTORE_ID';
+  // const entityTypeId = 'YOUR_ENTITY_TYPE_ID';
+  // const destinationTableUri = 'YOUR_BQ_DESTINATION_TABLE_URI';
+  // const timestamp = <STARTING_TIMESTAMP_OF_SNAPSHOT_IN_SECONDS>;
+  // const location = 'YOUR_PROJECT_LOCATION';
+  // const apiEndpoint = 'YOUR_API_ENDPOINT';
+  // const timeout = <TIMEOUT_IN_MILLI_SECONDS>;
+
+  // Imports the Google Cloud Featurestore Service Client library
+  const {FeaturestoreServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: apiEndpoint,
+  };
+
+  // Instantiates a client
+  const featurestoreServiceClient = new FeaturestoreServiceClient(
+    clientOptions
+  );
+
+  async function exportFeatureValuesSnapshot() {
+    // Configure the entityType resource
+    const entityType = `projects/${project}/locations/${location}/featurestores/${featurestoreId}/entityTypes/${entityTypeId}`;
+
+    const destination = {
+      bigqueryDestination: {
+        // # Output to BigQuery table created earlier
+        outputUri: destinationTableUri,
+      },
+    };
+
+    const featureSelector = {
+      idMatcher: {
+        ids: ['age', 'gender', 'liked_genres'],
+      },
+    };
+
+    const snapshotExport = {
+      startTime: {
+        seconds: Number(timestamp),
+      },
+    };
+
+    const request = {
+      entityType: entityType,
+      destination: destination,
+      featureSelector: featureSelector,
+      snapshotExport: snapshotExport,
+    };
+
+    // Export Feature Values Request
+    const [operation] = await featurestoreServiceClient.exportFeatureValues(
+      request,
+      {timeout: Number(timeout)}
+    );
+    const [response] = await operation.promise();
+
+    console.log('Export feature values snapshot response');
+    console.log('Raw response:');
+    console.log(JSON.stringify(response, null, 2));
+  }
+  exportFeatureValuesSnapshot();
+  // [END aiplatform_export_feature_values_snapshot_sample]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));