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TTS / Sentiment GA (handoff from Nirupa) (#353)
* TTS / Sentiment GA (handoff from Nirupa) * Lint / feedback * Lint / feedback * Fix tests
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‎dialogflow/detect-intent-TTS-response.v2.js

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/**
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* Copyright 2018, Google, LLC.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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async function main(
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projectId = 'YOUR_PROJECT_ID',
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sessionId = 'YOUR_SESSION_ID',
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query = 'YOUR_QUERY',
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languageCode = 'YOUR_LANGUAGE_CODE',
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outputFile = 'YOUR_OUTPUT_FILE'
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) {
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// [START dialogflow_detect_intent_with_texttospeech_response]
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// Imports the Dialogflow client library
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const dialogflow = require('dialogflow').v2;
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// Instantiate a DialogFlow client.
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const sessionClient = new dialogflow.SessionsClient();
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/**
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* TODO(developer): Uncomment the following lines before running the sample.
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*/
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// const projectId = 'ID of GCP project associated with your Dialogflow agent';
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// const sessionId = `user specific ID of session, e.g. 12345`;
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// const query = `phrase(s) to pass to detect, e.g. I'd like to reserve a room for six people`;
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// const languageCode = 'BCP-47 language code, e.g. en-US';
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// const outputFile = `path for audio output file, e.g. ./resources/myOutput.wav`;
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// Define session path
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const sessionPath = sessionClient.sessionPath(projectId, sessionId);
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const fs = require(`fs`);
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const util = require(`util`);
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async function detectIntentwithTTSResponse() {
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// The audio query request
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const request = {
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session: sessionPath,
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queryInput: {
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text: {
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text: query,
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languageCode: languageCode,
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},
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},
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outputAudioConfig: {
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audioEncoding: `OUTPUT_AUDIO_ENCODING_LINEAR_16`,
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},
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};
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sessionClient.detectIntent(request).then(responses => {
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console.log('Detected intent:');
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const audioFile = responses[0].outputAudio;
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util.promisify(fs.writeFile)(outputFile, audioFile, 'binary');
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console.log(`Audio content written to file: ${outputFile}`);
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});
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}
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detectIntentwithTTSResponse();
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// [END dialogflow_detect_intent_with_texttospeech_response]
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}
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main(...process.argv.slice(2));

‎dialogflow/detect-intent-sentiment.v2.js

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/**
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* Copyright 2018, Google, LLC.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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async function main(
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projectId = 'YOUR_PROJECT_ID',
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sessionId = 'YOUR_SESSION_ID',
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query = 'YOUR_QUERY',
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languageCode = 'YOUR_LANGUAGE_CODE'
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) {
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// [START dialogflow_detect_intent_with_sentiment_analysis]
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// Imports the Dialogflow client library
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const dialogflow = require('dialogflow').v2;
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// Instantiate a DialogFlow client.
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const sessionClient = new dialogflow.SessionsClient();
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/**
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* TODO(developer): Uncomment the following lines before running the sample.
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*/
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// const projectId = 'ID of GCP project associated with your Dialogflow agent';
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// const sessionId = `user specific ID of session, e.g. 12345`;
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// const query = `phrase(s) to pass to detect, e.g. I'd like to reserve a room for six people`;
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// const languageCode = 'BCP-47 language code, e.g. en-US';
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// Define session path
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const sessionPath = sessionClient.sessionPath(projectId, sessionId);
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async function detectIntentandSentiment() {
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// The text query request.
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const request = {
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session: sessionPath,
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queryInput: {
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text: {
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text: query,
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languageCode: languageCode,
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},
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},
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queryParams: {
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sentimentAnalysisRequestConfig: {
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analyzeQueryTextSentiment: true,
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},
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},
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};
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// Send request and log result
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const responses = await sessionClient.detectIntent(request);
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console.log('Detected intent');
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const result = responses[0].queryResult;
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console.log(` Query: ${result.queryText}`);
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console.log(` Response: ${result.fulfillmentText}`);
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if (result.intent) {
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console.log(` Intent: ${result.intent.displayName}`);
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} else {
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console.log(` No intent matched.`);
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}
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if (result.sentimentAnalysisResult) {
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console.log(`Detected sentiment`);
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console.log(
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` Score: ${result.sentimentAnalysisResult.queryTextSentiment.score}`
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);
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console.log(
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` Magnitude: ${
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result.sentimentAnalysisResult.queryTextSentiment.magnitude
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}`
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);
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} else {
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console.log(`No sentiment Analysis Found`);
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}
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// [END dialogflow_detect_intent_with_sentiment_analysis]
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}
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detectIntentandSentiment();
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}
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main(...process.argv.slice(2));

‎dialogflow/system-test/detect.test.js

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const execa = require('execa');
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const cmd = 'node detect.js';
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const cmd_tts = 'node detect-intent-TTS-response.v2.js';
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const cmd_sentiment = 'node detect-intent-sentiment.v2.js';
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const cwd = path.join(__dirname, '..');
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const projectId =
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process.env.GCLOUD_PROJECT || process.env.GOOGLE_CLOUD_PROJECT;
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const testQuery = 'Where is my data stored?';
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const audioFilepathBookARoom = path
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.join(__dirname, '../resources/book_a_room.wav')
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);
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assert.include(stdout, 'Detected intent');
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});
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it('should detect Intent with Text to Speech Response', async () => {
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const {stdout} = await execa.shell(
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`${cmd_tts} ${projectId} 'SESSION_ID' '${testQuery}' 'en-US' './resources/output.wav'`,
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{cwd}
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);
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assert.include(
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stdout,
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'Audio content written to file: ./resources/output.wav'
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);
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});
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it('should detect sentiment with intent', async () => {
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const {stdout} = await execa.shell(
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`${cmd_sentiment} ${projectId} 'SESSION_ID' '${testQuery}' 'en-US'`,
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{cwd}
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);
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assert.include(stdout, 'Detected sentiment');
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});
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});

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