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docs(samples): updated samples code to use async await (#154)
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@praveenqlogic
praveenqlogic authored and Ace Nassri committed Nov 17, 2022
1 parent 0d45052 commit bbb04bc
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291 changes: 153 additions & 138 deletions translate/automl/automlTranslationDataset.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,13 @@

`use strict`;

function createDataset(projectId, computeRegion, datasetName, source, target) {
async function createDataset(
projectId,
computeRegion,
datasetName,
source,
target
) {
// [START automl_translation_create_dataset]
const automl = require(`@google-cloud/automl`).v1beta1;

Expand All @@ -48,44 +54,40 @@ function createDataset(projectId, computeRegion, datasetName, source, target) {
};

// Set dataset name and dataset specification.
const dataset = {
const datasetInfo = {
displayName: datasetName,
translationDatasetMetadata: datasetSpec,
};

// Create a dataset with the dataset specification in the region.
client
.createDataset({parent: projectLocation, dataset: dataset})
.then(responses => {
const dataset = responses[0];

// Display the dataset information
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);
})
.catch(err => {
console.error(err);
});
const [dataset] = await client.createDataset({
parent: projectLocation,
dataset: datasetInfo,
});

// Display the dataset information
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);
// [END automl_translation_create_dataset]
}

function listDatasets(projectId, computeRegion, filter) {
async function listDatasets(projectId, computeRegion, filter) {
// [START automl_translation_list_datasets]
const automl = require(`@google-cloud/automl`);

Expand All @@ -102,41 +104,38 @@ function listDatasets(projectId, computeRegion, filter) {
const projectLocation = client.locationPath(projectId, computeRegion);

// List all the datasets available in the region by applying filter.
client
.listDatasets({parent: projectLocation, filter: filter})
.then(responses => {
const datasets = responses[0];

// Display the dataset information.
console.log(`List of datasets:`);
datasets.forEach(dataset => {
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);
});
})
.catch(err => {
console.error(err);
});
const [datasets] = await client.listDatasets({
parent: projectLocation,
filter: filter,
});

// Display the dataset information.
console.log(`List of datasets:`);
datasets.forEach(dataset => {
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);
});

// [END automl_translation_list_datasets]
}

function getDataset(projectId, computeRegion, datasetId) {
async function getDataset(projectId, computeRegion, datasetId) {
// [START automl_translation_get_dataset]
const automl = require(`@google-cloud/automl`).v1beta1;

Expand All @@ -153,38 +152,32 @@ function getDataset(projectId, computeRegion, datasetId) {
const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId);

// Get complete detail of the dataset.
client
.getDataset({name: datasetFullId})
.then(responses => {
const dataset = responses[0];

// Display the dataset information.
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);
})
.catch(err => {
console.error(err);
});
const [dataset] = await client.getDataset({name: datasetFullId});

// Display the dataset information.
console.log(`Dataset name: ${dataset.name}`);
console.log(`Dataset id: ${dataset.name.split(`/`).pop(-1)}`);
console.log(`Dataset display name: ${dataset.displayName}`);
console.log(`Dataset example count: ${dataset.exampleCount}`);
console.log(`Translation dataset specification:`);
console.log(
`\tSource language code: ${
dataset.translationDatasetMetadata.sourceLanguageCode
}`
);
console.log(
`\tTarget language code: ${
dataset.translationDatasetMetadata.targetLanguageCode
}`
);
console.log(`Dataset create time:`);
console.log(`\tseconds: ${dataset.createTime.seconds}`);
console.log(`\tnanos: ${dataset.createTime.nanos}`);

// [END automl_translation_get_dataset]
}

function importData(projectId, computeRegion, datasetId, path) {
async function importData(projectId, computeRegion, datasetId, path) {
// [START automl_translation_import_data]
const automl = require(`@google-cloud/automl`).v1beta1;

Expand All @@ -210,26 +203,21 @@ function importData(projectId, computeRegion, datasetId, path) {
};

// Import data from the input URI.
client
.importData({name: datasetFullId, inputConfig: inputConfig})
.then(responses => {
const operation = responses[0];
console.log(`Processing import...`);
return operation.promise();
})
.then(responses => {
// The final result of the operation.
if (responses[2].done === true) {
console.log(`Data imported.`);
}
})
.catch(err => {
console.error(err);
});
const [operation] = await client.importData({
name: datasetFullId,
inputConfig: inputConfig,
});
console.log(`Processing import...`);
const operationResponses = await operation.promise();
// The final result of the operation.
if (operationResponses[2].done === true) {
console.log(`Data imported.`);
}

// [END automl_translation_import_data]
}

function deleteDataset(projectId, computeRegion, datasetId) {
async function deleteDataset(projectId, computeRegion, datasetId) {
// [START automl_translation_delete_dataset]
const automl = require(`@google-cloud/automl`).v1beta1;

Expand All @@ -246,19 +234,11 @@ function deleteDataset(projectId, computeRegion, datasetId) {
const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId);

// Delete a dataset.
client
.deleteDataset({name: datasetFullId})
.then(responses => {
const operation = responses[0];
return operation.promise();
})
.then(responses => {
// The final result of the operation.
if (responses[2].done === true) console.log(`Dataset deleted.`);
})
.catch(err => {
console.error(err);
});
const [operations] = await client.deleteDataset({name: datasetFullId});
const operationResponses = await operations.promise();
// The final result of the operation.
if (operationResponses[2].done === true) console.log(`Dataset deleted.`);

// [END automl_translation_delete_dataset]
}

Expand Down Expand Up @@ -335,26 +315,61 @@ require(`yargs`)
description: `The target language to be translated to`,
},
})
.command(`createDataset`, `creates a new Dataset`, {}, opts =>
createDataset(
opts.projectId,
opts.computeRegion,
opts.datasetName,
opts.source,
opts.target
)
.command(
`createDataset`,
`creates a new Dataset`,
{},
async opts =>
await createDataset(
opts.projectId,
opts.computeRegion,
opts.datasetName,
opts.source,
opts.target
).catch(console.error)
)
.command(`list-datasets`, `list all Datasets`, {}, opts =>
listDatasets(opts.projectId, opts.computeRegion, opts.filter)
.command(
`list-datasets`,
`list all Datasets`,
{},
async opts =>
await listDatasets(opts.projectId, opts.computeRegion, opts.filter).catch(
console.error
)
)
.command(`get-dataset`, `Get a Dataset`, {}, opts =>
getDataset(opts.projectId, opts.computeRegion, opts.datasetId)
.command(
`get-dataset`,
`Get a Dataset`,
{},
async opts =>
await getDataset(
opts.projectId,
opts.computeRegion,
opts.datasetId
).catch(console.error)
)
.command(`delete-dataset`, `Delete a dataset`, {}, opts =>
deleteDataset(opts.projectId, opts.computeRegion, opts.datasetId)
.command(
`delete-dataset`,
`Delete a dataset`,
{},
async opts =>
await deleteDataset(
opts.projectId,
opts.computeRegion,
opts.datasetId
).catch(console.error)
)
.command(`import-data`, `Import labeled items into dataset`, {}, opts =>
importData(opts.projectId, opts.computeRegion, opts.datasetId, opts.path)
.command(
`import-data`,
`Import labeled items into dataset`,
{},
async opts =>
await importData(
opts.projectId,
opts.computeRegion,
opts.datasetId,
opts.path
).catch(console.error)
)
.example(`node $0 create-dataset -n "newDataSet" -s "en" -t "ja"`)
.example(`node $0 list-datasets -f "translationDatasetMetadata:*"`)
Expand Down
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