Regenerates all services

.gitignore

@@ -33,4 +33,5 @@ index.js
 **/*.d.ts
 !*/blob.d.ts
 **/*.js.map
-coverage.lcov
+coverage.lcov
+.swagger-codegen-ignore

conversation/v1-generated.ts

@@ -14,7 +14,6 @@
  * limitations under the License.
  */
 
-
 import * as extend from 'extend';
 import { RequestResponse } from 'request';
 import { BaseService } from '../lib/base_service';
@@ -3419,4 +3418,4 @@ namespace ConversationV1 {
 
 }
 
-export = ConversationV1;
+export = ConversationV1;

conversation/v1.ts

@@ -30,17 +30,17 @@ class ConversationV1 extends GeneratedConversationV1 {
 
   static VERSION_DATE_2016_07_11: string = '2016-07-11';
 
+  private static removedError: Error = new Error(
+    'This endpoint has been deprecated.'
+  );
+
   constructor(options) {
     // For backward compatibility, allow version to be passed in version_date.
     const _options = extend({}, options);
     _options.version = _options.version_date || _options.version;
     super(_options);
   }
 
-  private static removedError: Error = new Error(
-    'This endpoint has been deprecated.'
-  );
-
   workspaceStatus(params, callback) {
     console.warn(ConversationV1.removedError);
   }

discovery/v1-generated.ts

@@ -14,12 +14,11 @@
  * limitations under the License.
  */
 
-
 import * as extend from 'extend';
 import { RequestResponse } from 'request';
 import { BaseService } from '../lib/base_service';
-import { FileObject } from '../lib/helper';
 import { getMissingParams } from '../lib/helper';
+import { FileObject } from '../lib/helper';
 import { createRequest } from '../lib/requestwrapper';
 
 /**
@@ -3280,4 +3279,4 @@ namespace DiscoveryV1 {
 
 }
 
-export = DiscoveryV1;
+export = DiscoveryV1;

discovery/v1.ts

@@ -27,13 +27,6 @@ class DiscoveryV1 extends GeneratedDiscoveryV1 {
   static VERSION_DATE_2017_04_27: string = '2017-04-27';
   static VERSION_DATE_2016_12_15: string = '2016-12-15';
 
-  constructor(options) {
-    // For backward compatibility, allow version to be passed in version_date.
-    const _options = extend({}, options);
-    _options.version = _options.version_date || _options.version;
-    super(_options);
-  }
-
   static _ensureFilename(file) {
     // no changes needed for streams created by fs.ReadStream (or similar looking streams)
     if (isStream.isReadable(file) && file.path) {
@@ -64,6 +57,13 @@ class DiscoveryV1 extends GeneratedDiscoveryV1 {
     };
   }
 
+  constructor(options) {
+    // For backward compatibility, allow version to be passed in version_date.
+    const _options = extend({}, options);
+    _options.version = _options.version_date || _options.version;
+    super(_options);
+  }
+
   getEnvironments(params, callback) {
     return super.listEnvironments(params, callback);
   }

examples/browserify/public/client.js

@@ -28,11 +28,11 @@ function getToken() {
 function analyze(token) {
   var toneAnalyzer = new ToneAnalyzerV3({
     token: token,
-    version: '2016-05-19'
+    version: '2016-05-19',
   });
   toneAnalyzer.tone(
     {
-      text: input.value
+      text: input.value,
     },
     function(err, result) {
       if (err) {

examples/conversation_tone_analyzer_integration/tone_detection.js

@@ -23,7 +23,7 @@ var Promise = require('bluebird');
  */
 module.exports = {
   updateUserTone: updateUserTone,
-  invokeToneAsync: invokeToneAsync
+  invokeToneAsync: invokeToneAsync,
 };
 
 /**
@@ -85,9 +85,9 @@ function initUser() {
   return {
     user: {
       tone: {
-        current: null
-      }
-    }
+        current: null,
+      },
+    },
   };
 }
 
@@ -118,7 +118,7 @@ function updateTone(user, tones, maintainHistory) {
     }
     user.tone.history.push({
       tone_name: primaryTone,
-      score: primaryToneScore
+      score: primaryToneScore,
     });
   }
 }

examples/speech_to_text_microphone_input/transcribe-mic-to-console.js

@@ -15,11 +15,11 @@ var lineIn = new LineIn(); // 2-channel 16-bit little-endian signed integer pcm
 
 var wavStream = new wav.Writer({
   sampleRate: 44100,
-  channels: 2
+  channels: 2,
 });
 
 var recognizeStream = speechToText.createRecognizeStream({
-  content_type: 'audio/wav'
+  content_type: 'audio/wav',
 });
 
 lineIn.pipe(wavStream);

examples/speech_to_text_microphone_input/transcribe-mic-to-file.js

@@ -15,18 +15,18 @@ var speechToText = new SpeechToText({
 var micInstance = mic({
   rate: '48000',
   channels: '1',
-  debug: false
+  debug: false,
 });
 
 var micInputStream = micInstance.getAudioStream();
 
 var wavStream = new wav.FileWriter('./audio.wav', {
   sampleRate: 48000,
-  channels: 1
+  channels: 1,
 });
 
 var recognizeStream = speechToText.createRecognizeStream({
-  content_type: 'audio/wav'
+  content_type: 'audio/wav',
 });
 
 micInputStream.pipe(wavStream);

examples/text_to_speech_synthesize_handle_errors.js

@@ -18,7 +18,7 @@ var stream = textToSpeech
     {
       text: 'Hello from IBM Watson',
       voice: 'INVALID_VOICE', // comment this line to show the example working correctly
-      accept: 'audio/wav' // default is audio/ogg; codec=opus
+      accept: 'audio/wav', // default is audio/ogg; codec=opus
     },
     function(error) {
       if (error) {

examples/webpack/public/client.js

@@ -28,11 +28,11 @@ function getToken() {
 function analyze(token) {
   var toneAnalyzer = new ToneAnalyzerV3({
     token: token,
-    version: '2016-05-19'
+    version: '2016-05-19',
   });
   toneAnalyzer.tone(
     {
-      text: input.value
+      text: input.value,
     },
     function(err, result) {
       if (err) {

examples/webpack/webpack.config.js

@@ -3,13 +3,13 @@
 module.exports = {
   entry: './public/client.js',
   output: {
-    filename: 'bundle.js'
+    filename: 'bundle.js',
   },
   // http://webpack.github.io/docs/configuration.html#node
   node: {
     fs: 'empty',
     net: 'empty',
-    tls: 'empty'
+    tls: 'empty',
   },
   // Loader for Retrieve & Rank
   // Retrieve & Rank depends on solr-client, which depends on JSONStream, which starts with a shebang line, which
@@ -23,8 +23,8 @@ module.exports = {
     rules: [
       {
         test: /JSONStream/,
-        use: 'shebang-loader'
-      }
-    ]
-  }
+        use: 'shebang-loader',
+      },
+    ],
+  },
 };

index.ts

@@ -50,11 +50,11 @@ export import VisualRecognitionV3 = require('./visual-recognition/v3');
 // e.g. servicesByVersion.text_to_speech.v1 === export import TextToSpeechV1;
 const servicesByVersion = {};
 Object.keys(exports).forEach(key => {
-  const Service = exports[key];
-  const name = Service.prototype.name;
-  const version = Service.prototype.serviceVersion;
+  const service = exports[key];
+  const name = service.prototype.name;
+  const version = service.prototype.serviceVersion;
   servicesByVersion[name] = servicesByVersion[name] || {};
-  servicesByVersion[name][version] = Service;
+  servicesByVersion[name][version] = service;
 });
 
 Object.keys(servicesByVersion).forEach(serviceName => {
@@ -79,15 +79,15 @@ Object.keys(servicesByVersion).forEach(serviceName => {
         options.version = 'v1';
       }
 
-      const Service = servicesByVersion[serviceName][options.version];
+      const service = servicesByVersion[serviceName][options.version];
 
-      if (!Service) {
+      if (!service) {
         throw new Error(
           'Unable to find ' + serviceName + ' version ' + options.version
         );
       }
 
-      return new Service({
+      return new service({
         ...options,
         serviceVersion: options.version,
         version: options.version_date,

lib/querystring.ts

@@ -10,7 +10,7 @@
  */
 const stringify = (queryParams: Object): string => {
   return Object.keys(queryParams)
-    .map(function(key) {
+    .map((key) => {
       return (
         key +
         '=' +

lib/requestwrapper.ts

@@ -216,6 +216,13 @@ export function createRequest(parameters, _callback) {
         typeof formData[key] === 'object' &&
         (formData[key] = JSON.stringify(formData[key]))
     );
+
+    // Stringify arrays
+    Object.keys(options.formData).forEach(
+      key =>
+        Array.isArray(options.formData[key]) &&
+        (options.formData[key] = options.formData[key].join(','))
+    );
   }
 
   // Path params

natural-language-classifier/v1-generated.ts

@@ -14,15 +14,13 @@
  * limitations under the License.
  */
 
-
 import * as extend from 'extend';
 import { RequestResponse } from 'request';
 import { BaseService } from '../lib/base_service';
-import { FileObject } from '../lib/helper';
 import { getMissingParams } from '../lib/helper';
+import { FileObject } from '../lib/helper';
 import { createRequest } from '../lib/requestwrapper';
 
-
 /**
  * IBM Watson Natural Language Classifier uses machine learning algorithms to return the top matching predefined classes for short text input. You create and train a classifier to connect predefined classes to example texts so that the service can apply those classes to new inputs.
  */
@@ -361,4 +359,4 @@ namespace NaturalLanguageClassifierV1 {
 
 }
 
-export = NaturalLanguageClassifierV1;
+export = NaturalLanguageClassifierV1;

natural-language-understanding/v1-generated.ts

@@ -14,7 +14,6 @@
  * limitations under the License.
  */
 
-
 import * as extend from 'extend';
 import { RequestResponse } from 'request';
 import { BaseService } from '../lib/base_service';
@@ -658,4 +657,4 @@ namespace NaturalLanguageUnderstandingV1 {
 
 }
 
-export = NaturalLanguageUnderstandingV1;
+export = NaturalLanguageUnderstandingV1;

personality-insights/v2.ts

@@ -66,14 +66,14 @@ class PersonalityInsightsV2 extends BaseService {
       return;
     }
     // Content-Type
-    let content_type = null;
+    let contentType = null;
     if (_params.text) {
-      content_type = isHTML(_params.text) ? 'text/html' : 'text/plain';
+      contentType = isHTML(_params.text) ? 'text/html' : 'text/plain';
     } else {
-      content_type = 'application/json';
+      contentType = 'application/json';
     }
     const headers = {
-      'Content-type': content_type,
+      'Content-type': contentType,
       'Accept-language':
         _params.accept_language || _params.acceptLanguage || 'en',
       Accept: undefined

personality-insights/v3.ts

@@ -44,16 +44,16 @@ class PersonalityInsightsV3 extends GeneratedPersonalityInsightsV3 {
       return;
     }
 
-    let content_type = null;
+    let contentType = null;
     if (params.text) {
-      content_type = isHTML(params.text) ? 'text/html' : 'text/plain';
+      contentType = isHTML(params.text) ? 'text/html' : 'text/plain';
     } else {
-      content_type = 'application/json';
+      contentType = 'application/json';
     }
 
     const _params: GeneratedPersonalityInsightsV3.ProfileParams = {
       content: params.text || pick(params, ['contentItems']),
-      content_type,
+      content_type: contentType,
       raw_scores: params.raw_scores,
       csv_headers: params.csv_headers,
       consumption_preferences: params.consumption_preferences
@@ -100,7 +100,7 @@ class PersonalityInsightsV3 extends GeneratedPersonalityInsightsV3 {
     >
   ): NodeJS.ReadableStream | void {
     const _params = extend({}, params);
-    const _callback = callback ? callback : () => {};
+    const _callback = callback ? callback : () => { /*noop*/ };
     const requiredParams = ['content', 'content_type'];
     const missingParams = getMissingParams(_params, requiredParams);
     if (missingParams) {