feat: batch prediction samples (GoogleCloudPlatform#3884)

ai-platform/snippets/batch-code-predict.js

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+/*
+ * Copyright 2024 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.
+ */
+
+'use strict';
+
+async function main(projectId, inputUri, outputUri, jobDisplayName) {
+  // [START generativeaionvertexai_batch_code_predict]
+  // Imports the aiplatform library
+  const aiplatformLib = require('@google-cloud/aiplatform');
+  const aiplatform = aiplatformLib.protos.google.cloud.aiplatform.v1;
+
+  /**
+   * TODO(developer):  Uncomment/update these variables before running the sample.
+   */
+  // projectId = 'YOUR_PROJECT_ID';
+
+  // Optional: URI of the input dataset.
+  // Could be a BigQuery table or a Google Cloud Storage file.
+  // E.g. "gs://[BUCKET]/[DATASET].jsonl" OR "bq://[PROJECT].[DATASET].[TABLE]"
+  // inputUri =
+  //   'gs://cloud-samples-data/batch/prompt_for_batch_code_predict.jsonl';
+
+  // Optional: URI where the output will be stored.
+  // Could be a BigQuery table or a Google Cloud Storage file.
+  // E.g. "gs://[BUCKET]/[OUTPUT].jsonl" OR "bq://[PROJECT].[DATASET].[TABLE]"
+  // outputUri = 'gs://batch-bucket-testing/batch_code_predict_output';
+
+  // The name of batch prediction job
+  // jobDisplayName = `Batch code prediction job: ${new Date().getMilliseconds()}`;
+
+  // The name of pre-trained model
+  const codeModel = 'code-bison';
+  const location = 'us-central1';
+
+  // Construct your modelParameters
+  const parameters = {
+    maxOutputTokens: '200',
+    temperature: '0.2',
+  };
+  const parametersValue = aiplatformLib.helpers.toValue(parameters);
+  // Configure the parent resource
+  const parent = `projects/${projectId}/locations/${location}`;
+  const modelName = `projects/${projectId}/locations/${location}/publishers/google/models/${codeModel}`;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: `${location}-aiplatform.googleapis.com`,
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new aiplatformLib.JobServiceClient(clientOptions);
+
+  // Perform batch code prediction using a pre-trained code generation model.
+  // Example of using Google Cloud Storage bucket as the input and output data source
+  async function callBatchCodePredicton() {
+    const gcsSource = new aiplatform.GcsSource({
+      uris: [inputUri],
+    });
+
+    const inputConfig = new aiplatform.BatchPredictionJob.InputConfig({
+      gcsSource,
+      instancesFormat: 'jsonl',
+    });
+
+    const gcsDestination = new aiplatform.GcsDestination({
+      outputUriPrefix: outputUri,
+    });
+
+    const outputConfig = new aiplatform.BatchPredictionJob.OutputConfig({
+      gcsDestination,
+      predictionsFormat: 'jsonl',
+    });
+
+    const batchPredictionJob = new aiplatform.BatchPredictionJob({
+      displayName: jobDisplayName,
+      model: modelName,
+      inputConfig,
+      outputConfig,
+      modelParameters: parametersValue,
+    });
+
+    const request = {
+      parent,
+      batchPredictionJob,
+    };
+
+    // Create batch prediction job request
+    const [response] = await jobServiceClient.createBatchPredictionJob(request);
+
+    console.log('Raw response: ', JSON.stringify(response, null, 2));
+  }
+
+  await callBatchCodePredicton();
+  // [END generativeaionvertexai_batch_code_predict]
+}
+
+main(...process.argv.slice(2)).catch(err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});

ai-platform/snippets/batch-text-predict.js

@@ -0,0 +1,115 @@
+/*
+ * Copyright 2024 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.
+ */
+
+'use strict';
+
+async function main(projectId, inputUri, outputUri, jobDisplayName) {
+  // [START generativeaionvertexai_batch_text_predict]
+  // Imports the aiplatform library
+  const aiplatformLib = require('@google-cloud/aiplatform');
+  const aiplatform = aiplatformLib.protos.google.cloud.aiplatform.v1;
+
+  /**
+   * TODO(developer):  Uncomment/update these variables before running the sample.
+   */
+  // projectId = 'YOUR_PROJECT_ID';
+
+  // Optional: URI of the input dataset.
+  // Could be a BigQuery table or a Google Cloud Storage file.
+  // E.g. "gs://[BUCKET]/[DATASET].jsonl" OR "bq://[PROJECT].[DATASET].[TABLE]"
+  // inputUri =
+  //   'gs://cloud-samples-data/batch/prompt_for_batch_text_predict.jsonl';
+
+  // Optional: URI where the output will be stored.
+  // Could be a BigQuery table or a Google Cloud Storage file.
+  // E.g. "gs://[BUCKET]/[OUTPUT].jsonl" OR "bq://[PROJECT].[DATASET].[TABLE]"
+  // outputUri = 'gs://batch-bucket-testing/batch_text_predict_output';
+
+  // The name of batch prediction job
+  // jobDisplayName = `Batch text prediction job: ${new Date().getMilliseconds()}`;
+
+  // The name of pre-trained model
+  const textModel = 'text-bison';
+  const location = 'us-central1';
+
+  // Construct your modelParameters
+  const parameters = {
+    maxOutputTokens: '200',
+    temperature: '0.2',
+    topP: '0.95',
+    topK: '40',
+  };
+  const parametersValue = aiplatformLib.helpers.toValue(parameters);
+  // Configure the parent resource
+  const parent = `projects/${projectId}/locations/${location}`;
+  const modelName = `projects/${projectId}/locations/${location}/publishers/google/models/${textModel}`;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: `${location}-aiplatform.googleapis.com`,
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new aiplatformLib.JobServiceClient(clientOptions);
+
+  // Perform batch text prediction using a pre-trained text generation model.
+  // Example of using Google Cloud Storage bucket as the input and output data source
+  async function callBatchTextPredicton() {
+    const gcsSource = new aiplatform.GcsSource({
+      uris: [inputUri],
+    });
+
+    const inputConfig = new aiplatform.BatchPredictionJob.InputConfig({
+      gcsSource,
+      instancesFormat: 'jsonl',
+    });
+
+    const gcsDestination = new aiplatform.GcsDestination({
+      outputUriPrefix: outputUri,
+    });
+
+    const outputConfig = new aiplatform.BatchPredictionJob.OutputConfig({
+      gcsDestination,
+      predictionsFormat: 'jsonl',
+    });
+
+    const batchPredictionJob = new aiplatform.BatchPredictionJob({
+      displayName: jobDisplayName,
+      model: modelName,
+      inputConfig,
+      outputConfig,
+      modelParameters: parametersValue,
+    });
+
+    const request = {
+      parent,
+      batchPredictionJob,
+    };
+
+    // Create batch prediction job request
+    const [response] = await jobServiceClient.createBatchPredictionJob(request);
+
+    console.log('Raw response: ', JSON.stringify(response, null, 2));
+  }
+
+  await callBatchTextPredicton();
+  // [END generativeaionvertexai_batch_text_predict]
+}
+
+main(...process.argv.slice(2)).catch(err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});

ai-platform/snippets/test/batch-code-predict.test.js

@@ -0,0 +1,70 @@
+/*
+ * Copyright 2024 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.
+ */
+
+'use strict';
+
+const {assert} = require('chai');
+const {after, describe, it} = require('mocha');
+const uuid = require('uuid').v4;
+const cp = require('child_process');
+const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
+
+describe('Batch code predict', async () => {
+  const displayName = `batch-code-predict-job-${uuid()}`;
+  const location = 'us-central1';
+  const inputUri =
+    'gs://ucaip-samples-test-output/inputs/batch_predict_TCN/tcn_inputs.jsonl';
+  const outputUri = 'gs://ucaip-samples-test-output/';
+  const jobServiceClient = new JobServiceClient({
+    apiEndpoint: `${location}-aiplatform.googleapis.com`,
+  });
+  const projectId = process.env.CAIP_PROJECT_ID;
+  let batchPredictionJobId;
+
+  after(async () => {
+    const name = jobServiceClient.batchPredictionJobPath(
+      projectId,
+      location,
+      batchPredictionJobId
+    );
+
+    const cancelRequest = {
+      name,
+    };
+
+    jobServiceClient.cancelBatchPredictionJob(cancelRequest).then(() => {
+      const deleteRequest = {
+        name,
+      };
+
+      return jobServiceClient.deleteBatchPredictionJob(deleteRequest);
+    });
+  });
+
+  it('should create job with code prediction', async () => {
+    const response = execSync(
+      `node ./batch-code-predict.js ${projectId} ${inputUri} ${outputUri} ${displayName}`
+    );
+
+    assert.match(response, new RegExp(displayName));
+
+    batchPredictionJobId = response
+      .split('/locations/us-central1/batchPredictionJobs/')[1]
+      .split('\n')[0];
+  });
+});

ai-platform/snippets/test/batch-text-predict.test.js

@@ -0,0 +1,69 @@
+/*
+ * Copyright 2024 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.
+ */
+
+'use strict';
+
+const {assert} = require('chai');
+const {after, describe, it} = require('mocha');
+const uuid = require('uuid').v4;
+const cp = require('child_process');
+const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
+
+describe('Batch text predict', async () => {
+  const displayName = `batch-text-predict-job-${uuid()}`;
+  const location = 'us-central1';
+  const inputUri =
+    'gs://ucaip-samples-test-output/inputs/batch_predict_TCN/tcn_inputs.jsonl';
+  const outputUri = 'gs://ucaip-samples-test-output/';
+  const jobServiceClient = new JobServiceClient({
+    apiEndpoint: `${location}-aiplatform.googleapis.com`,
+  });
+  const projectId = process.env.CAIP_PROJECT_ID;
+  let batchPredictionJobId;
+
+  after(async () => {
+    const name = jobServiceClient.batchPredictionJobPath(
+      projectId,
+      location,
+      batchPredictionJobId
+    );
+
+    const cancelRequest = {
+      name,
+    };
+
+    jobServiceClient.cancelBatchPredictionJob(cancelRequest).then(() => {
+      const deleteRequest = {
+        name,
+      };
+
+      return jobServiceClient.deleteBatchPredictionJob(deleteRequest);
+    });
+  });
+
+  it('should create job with text prediction', async () => {
+    const response = execSync(
+      `node ./batch-text-predict.js ${projectId} ${inputUri} ${outputUri} ${displayName}`
+    );
+
+    assert.match(response, new RegExp(displayName));
+    batchPredictionJobId = response
+      .split('/locations/us-central1/batchPredictionJobs/')[1]
+      .split('\n')[0];
+  });
+});