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feat!: drop node8 support (#405)
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@AVaksman
AVaksman authored Apr 2, 2020
1 parent 591e11c commit 4fc18a8
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Showing 6 changed files with 239 additions and 239 deletions.
80 changes: 40 additions & 40 deletions cloud-language/snippets/analyze.v1.js
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ async function analyzeSentimentOfText(text) {
const [result] = await client.analyzeSentiment({document});

const sentiment = result.documentSentiment;
console.log(`Document sentiment:`);
console.log('Document sentiment:');
console.log(` Score: ${sentiment.score}`);
console.log(` Magnitude: ${sentiment.magnitude}`);

Expand Down Expand Up @@ -77,7 +77,7 @@ async function analyzeSentimentInFile(bucketName, fileName) {
const [result] = await client.analyzeSentiment({document});

const sentiment = result.documentSentiment;
console.log(`Document sentiment:`);
console.log('Document sentiment:');
console.log(` Score: ${sentiment.score}`);
console.log(` Magnitude: ${sentiment.magnitude}`);

Expand Down Expand Up @@ -189,7 +189,7 @@ async function analyzeSyntaxOfText(text) {
console.log('Tokens:');
syntax.tokens.forEach(part => {
console.log(`${part.partOfSpeech.tag}: ${part.text.content}`);
console.log(`Morphology:`, part.partOfSpeech);
console.log('Morphology:', part.partOfSpeech);
});
// [END language_syntax_text]
}
Expand Down Expand Up @@ -223,7 +223,7 @@ async function analyzeSyntaxInFile(bucketName, fileName) {
console.log('Parts of speech:');
syntax.tokens.forEach(part => {
console.log(`${part.partOfSpeech.tag}: ${part.text.content}`);
console.log(`Morphology:`, part.partOfSpeech);
console.log('Morphology:', part.partOfSpeech);
});
// [END language_syntax_gcs]
}
Expand Down Expand Up @@ -251,7 +251,7 @@ async function analyzeEntitySentimentOfText(text) {
const [result] = await client.analyzeEntitySentiment({document});
const entities = result.entities;

console.log(`Entities and sentiments:`);
console.log('Entities and sentiments:');
entities.forEach(entity => {
console.log(` Name: ${entity.name}`);
console.log(` Type: ${entity.type}`);
Expand Down Expand Up @@ -285,7 +285,7 @@ async function analyzeEntitySentimentInFile(bucketName, fileName) {
const [result] = await client.analyzeEntitySentiment({document});
const entities = result.entities;

console.log(`Entities and sentiments:`);
console.log('Entities and sentiments:');
entities.forEach(entity => {
console.log(` Name: ${entity.name}`);
console.log(` Type: ${entity.type}`);
Expand Down Expand Up @@ -353,98 +353,98 @@ async function classifyTextInFile(bucketName, fileName) {
// [END language_classify_gcs]
}

require(`yargs`)
require('yargs')
.demand(1)
.command(
`sentiment-text <text>`,
`Detects sentiment of a string.`,
'sentiment-text <text>',
'Detects sentiment of a string.',
{},
opts => analyzeSentimentOfText(opts.text)
)
.command(
`sentiment-file <bucketName> <fileName>`,
`Detects sentiment in a file in Google Cloud Storage.`,
'sentiment-file <bucketName> <fileName>',
'Detects sentiment in a file in Google Cloud Storage.',
{},
opts => analyzeSentimentInFile(opts.bucketName, opts.fileName)
)
.command(`entities-text <text>`, `Detects entities in a string.`, {}, opts =>
.command('entities-text <text>', 'Detects entities in a string.', {}, opts =>
analyzeEntitiesOfText(opts.text)
)
.command(
`entities-file <bucketName> <fileName>`,
`Detects entities in a file in Google Cloud Storage.`,
'entities-file <bucketName> <fileName>',
'Detects entities in a file in Google Cloud Storage.',
{},
opts => analyzeEntitiesInFile(opts.bucketName, opts.fileName)
)
.command(`syntax-text <text>`, `Detects syntax of a string.`, {}, opts =>
.command('syntax-text <text>', 'Detects syntax of a string.', {}, opts =>
analyzeSyntaxOfText(opts.text)
)
.command(
`syntax-file <bucketName> <fileName>`,
`Detects syntax in a file in Google Cloud Storage.`,
'syntax-file <bucketName> <fileName>',
'Detects syntax in a file in Google Cloud Storage.',
{},
opts => analyzeSyntaxInFile(opts.bucketName, opts.fileName)
)
.command(
`entity-sentiment-text <text>`,
`Detects sentiment of the entities in a string.`,
'entity-sentiment-text <text>',
'Detects sentiment of the entities in a string.',
{},
opts => analyzeEntitySentimentOfText(opts.text)
)
.command(
`entity-sentiment-file <bucketName> <fileName>`,
`Detects sentiment of the entities in a file in Google Cloud Storage.`,
'entity-sentiment-file <bucketName> <fileName>',
'Detects sentiment of the entities in a file in Google Cloud Storage.',
{},
opts => analyzeEntitySentimentInFile(opts.bucketName, opts.fileName)
)
.command(`classify-text <text>`, `Classifies text of a string.`, {}, opts =>
.command('classify-text <text>', 'Classifies text of a string.', {}, opts =>
classifyTextOfText(opts.text)
)
.command(
`classify-file <bucketName> <fileName>`,
`Classifies text in a file in Google Cloud Storage.`,
'classify-file <bucketName> <fileName>',
'Classifies text in a file in Google Cloud Storage.',
{},
opts => classifyTextInFile(opts.bucketName, opts.fileName)
)
.example(
`node $0 sentiment-text "President Obama is speaking at the White House."`
'node $0 sentiment-text "President Obama is speaking at the White House."'
)
.example(
`node $0 sentiment-file my-bucket file.txt`,
`Detects sentiment in gs://my-bucket/file.txt`
'node $0 sentiment-file my-bucket file.txt',
'Detects sentiment in gs://my-bucket/file.txt'
)
.example(
`node $0 entities-text "President Obama is speaking at the White House."`
'node $0 entities-text "President Obama is speaking at the White House."'
)
.example(
`node $0 entities-file my-bucket file.txt`,
`Detects entities in gs://my-bucket/file.txt`
'node $0 entities-file my-bucket file.txt',
'Detects entities in gs://my-bucket/file.txt'
)
.example(
`node $0 syntax-text "President Obama is speaking at the White House."`
'node $0 syntax-text "President Obama is speaking at the White House."'
)
.example(
`node $0 syntax-file my-bucket file.txt`,
`Detects syntax in gs://my-bucket/file.txt`
'node $0 syntax-file my-bucket file.txt',
'Detects syntax in gs://my-bucket/file.txt'
)
.example(
`node $0 entity-sentiment-text "President Obama is speaking at the White House."`
'node $0 entity-sentiment-text "President Obama is speaking at the White House."'
)
.example(
`node $0 entity-sentiment-file my-bucket file.txt`,
`Detects sentiment of entities in gs://my-bucket/file.txt`
'node $0 entity-sentiment-file my-bucket file.txt',
'Detects sentiment of entities in gs://my-bucket/file.txt'
)
.example(
`node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."`
'node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."'
)
.example(
`node $0 classify-file my-bucket android_text.txt`,
`Detects syntax in gs://my-bucket/android_text.txt`
'node $0 classify-file my-bucket android_text.txt',
'Detects syntax in gs://my-bucket/android_text.txt'
)
.wrap(120)
.recommendCommands()
.epilogue(
`For more information, see https://cloud.google.com/natural-language/docs`
'For more information, see https://cloud.google.com/natural-language/docs'
)
.help()
.strict().argv;
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