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munkhuushmglShabirmean
munkhuushmgl
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Shabirmean
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chore: cleaning up unused and redundant sampels and their ITs (#450)
* chore: cleaning up unused and redundant sampels and their ITs * removed extra symbol * removed rest of duplicate samples * refactored DatasetApiIT * lint * fixed import * incorrect order * compli error
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‎automl/snippets/src/main/java/beta/automl/GetModel.java

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package beta.automl;
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// [START automl_get_model_beta]
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// [START automl_tables_get_model]
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import com.google.cloud.automl.v1beta1.AutoMlClient;
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import com.google.cloud.automl.v1beta1.Model;
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import com.google.cloud.automl.v1beta1.ModelName;
@@ -60,5 +59,4 @@ static void getModel(String projectId, String modelId)
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}
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}
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}
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// [END automl_tables_get_model]
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// [END automl_get_model_beta]

‎automl/snippets/src/main/java/com/google/cloud/translate/automl/DatasetApi.java

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@@ -18,13 +18,9 @@
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// Imports the Google Cloud client library
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import com.google.cloud.automl.v1beta1.AutoMlClient;
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import com.google.cloud.automl.v1beta1.Dataset;
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import com.google.cloud.automl.v1beta1.DatasetName;
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import com.google.cloud.automl.v1beta1.GcsSource;
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import com.google.cloud.automl.v1beta1.InputConfig;
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import com.google.cloud.automl.v1beta1.ListDatasetsRequest;
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import com.google.cloud.automl.v1beta1.LocationName;
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import com.google.cloud.automl.v1beta1.TranslationDatasetMetadata;
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import com.google.protobuf.Empty;
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import java.io.IOException;
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import java.io.PrintStream;
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*/
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public class DatasetApi {
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46-
// [START automl_translate_create_dataset]
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/**
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* Demonstrates using the AutoML client to create a dataset
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*
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* @param projectId the Google Cloud Project ID.
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* @param computeRegion the Region name. (e.g., "us-central1").
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* @param datasetName the name of the dataset to be created.
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* @param source the Source language
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* @param target the Target language
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*/
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public static void createDataset(
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String projectId, String computeRegion, String datasetName, String source, String target)
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throws IOException {
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// Instantiates a client
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try (AutoMlClient client = AutoMlClient.create()) {
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// A resource that represents Google Cloud Platform location.
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LocationName projectLocation = LocationName.of(projectId, computeRegion);
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// Specify the source and target language.
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TranslationDatasetMetadata translationDatasetMetadata =
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TranslationDatasetMetadata.newBuilder()
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.setSourceLanguageCode(source)
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.setTargetLanguageCode(target)
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.build();
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// Set dataset name and dataset metadata.
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Dataset myDataset =
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Dataset.newBuilder()
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.setDisplayName(datasetName)
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.setTranslationDatasetMetadata(translationDatasetMetadata)
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.build();
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// Create a dataset with the dataset metadata in the region.
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Dataset dataset = client.createDataset(projectLocation, myDataset);
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// Display the dataset information.
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System.out.println(String.format("Dataset name: %s", dataset.getName()));
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System.out.println(
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String.format(
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"Dataset id: %s",
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dataset.getName().split("/")[dataset.getName().split("/").length - 1]));
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System.out.println(String.format("Dataset display name: %s", dataset.getDisplayName()));
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System.out.println("Translation dataset Metadata:");
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System.out.println(
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String.format(
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"\tSource language code: %s",
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dataset.getTranslationDatasetMetadata().getSourceLanguageCode()));
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System.out.println(
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String.format(
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"\tTarget language code: %s",
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dataset.getTranslationDatasetMetadata().getTargetLanguageCode()));
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System.out.println("Dataset create time:");
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System.out.println(String.format("\tseconds: %s", dataset.getCreateTime().getSeconds()));
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System.out.println(String.format("\tnanos: %s", dataset.getCreateTime().getNanos()));
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}
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}
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// [END automl_translate_create_dataset]
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// [START automl_translate_list_datasets]
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/**
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* Demonstrates using the AutoML client to list all datasets.
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*
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* @param projectId the Google Cloud Project ID.
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* @param computeRegion the Region name. (e.g., "us-central1").
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* @param filter the Filter expression.
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*/
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public static void listDatasets(String projectId, String computeRegion, String filter)
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throws IOException {
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// Instantiates a client
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try (AutoMlClient client = AutoMlClient.create()) {
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// A resource that represents Google Cloud Platform location.
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LocationName projectLocation = LocationName.of(projectId, computeRegion);
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ListDatasetsRequest request =
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ListDatasetsRequest.newBuilder()
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.setParent(projectLocation.toString())
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.setFilter(filter)
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.build();
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// List all the datasets available in the region by applying filter.
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System.out.println("List of datasets:");
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for (Dataset dataset : client.listDatasets(request).iterateAll()) {
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// Display the dataset information
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System.out.println(String.format("\nDataset name: %s", dataset.getName()));
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System.out.println(
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String.format(
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"Dataset id: %s",
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dataset.getName().split("/")[dataset.getName().split("/").length - 1]));
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System.out.println(String.format("Dataset display name: %s", dataset.getDisplayName()));
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System.out.println("Translation dataset metadata:");
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System.out.println(
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String.format(
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"\tSource language code: %s",
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dataset.getTranslationDatasetMetadata().getSourceLanguageCode()));
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System.out.println(
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String.format(
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"\tTarget language code: %s",
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dataset.getTranslationDatasetMetadata().getTargetLanguageCode()));
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System.out.println("Dataset create time:");
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System.out.println(String.format("\tseconds: %s", dataset.getCreateTime().getSeconds()));
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System.out.println(String.format("\tnanos: %s", dataset.getCreateTime().getNanos()));
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}
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}
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}
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// [END automl_translate_list_datasets]
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// [START automl_translate_get_dataset]
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/**
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* Demonstrates using the AutoML client to get a dataset by ID.
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*
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* @param projectId the Google Cloud Project ID.
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* @param computeRegion the Region name. (e.g., "us-central1").
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* @param datasetId the Id of the dataset.
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*/
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public static void getDataset(String projectId, String computeRegion, String datasetId)
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throws IOException {
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// Instantiates a client
165-
try (AutoMlClient client = AutoMlClient.create()) {
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// Get the complete path of the dataset.
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DatasetName datasetFullId = DatasetName.of(projectId, computeRegion, datasetId);
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// Get all the information about a given dataset.
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Dataset dataset = client.getDataset(datasetFullId);
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// Display the dataset information
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System.out.println(String.format("Dataset name: %s", dataset.getName()));
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System.out.println(
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String.format(
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"Dataset id: %s",
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dataset.getName().split("/")[dataset.getName().split("/").length - 1]));
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System.out.println(String.format("Dataset display name: %s", dataset.getDisplayName()));
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System.out.println("Translation dataset metadata:");
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System.out.println(
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String.format(
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"\tSource language code: %s",
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dataset.getTranslationDatasetMetadata().getSourceLanguageCode()));
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System.out.println(
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String.format(
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"\tTarget language code: %s",
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dataset.getTranslationDatasetMetadata().getTargetLanguageCode()));
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System.out.println("Dataset create time:");
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System.out.println(String.format("\tseconds: %s", dataset.getCreateTime().getSeconds()));
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System.out.println(String.format("\tnanos: %s", dataset.getCreateTime().getNanos()));
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}
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}
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// [END automl_translate_get_dataset]
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19642
// [START automl_translate_import_data]
19743
/**
19844
* Import sentence pairs to the dataset.
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ArgumentParser parser = ArgumentParsers.newFor("").build();
263109
Subparsers subparsers = parser.addSubparsers().dest("command");
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265-
Subparser createDatasetParser = subparsers.addParser("create_dataset");
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createDatasetParser.addArgument("datasetName");
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createDatasetParser.addArgument("source");
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createDatasetParser.addArgument("target");
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Subparser listDatasetParser = subparsers.addParser("list_datasets");
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listDatasetParser.addArgument("filter").nargs("?").setDefault("translation_dataset_metadata:*");
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Subparser getDatasetParser = subparsers.addParser("get_dataset");
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getDatasetParser.addArgument("datasetId");
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Subparser importDataParser = subparsers.addParser("import_data");
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importDataParser.addArgument("datasetId");
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importDataParser.addArgument("path");
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286121
Namespace ns;
287122
try {
288123
ns = parser.parseArgs(args);
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if (ns.get("command").equals("create_dataset")) {
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createDataset(
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projectId,
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computeRegion,
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ns.getString("datasetName"),
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ns.getString("source"),
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ns.getString("target"));
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}
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if (ns.get("command").equals("list_datasets")) {
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listDatasets(projectId, computeRegion, ns.getString("filter"));
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}
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if (ns.get("command").equals("get_dataset")) {
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getDataset(projectId, computeRegion, ns.getString("datasetId"));
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}
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if (ns.get("command").equals("import_data")) {
304125
importData(projectId, computeRegion, ns.getString("datasetId"), ns.getString("path"));
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}

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