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added missing docs

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Alain Pitiot 2021-05-31 13:49:13 +02:00
parent 8badaf7ade
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>JSDoc: Source: data/Shelf.js</title>
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<h1 class="page-title">Source: data/Shelf.js</h1>
<section>
<article>
<pre class="prettyprint source linenums"><code>/**
* Shelf handles persistent key/value pairs, which are stored in the shelf collection on the
* server, and accesses in a concurrent fashion.
*
* @author Alain Pitiot
* @version 2021.1.4
* @copyright (c) 2021 Open Science Tools Ltd. (https://opensciencetools.org)
* @license Distributed under the terms of the MIT License
*/
import {PsychObject} from "../util/PsychObject";
/**
* &lt;p>Shelf handles persistent key/value pairs, which are stored in the shelf collection on the
* server, and accesses in a concurrent fashion&lt;/p>
*
* @name module:data.Shelf
* @class
* @extends PsychObject
* @param {Object} options
* @param {module:core.PsychoJS} options.psychoJS - the PsychoJS instance
* @param {boolean} [options.autoLog= false] - whether or not to log
*/
export class Shelf extends PsychObject
{
constructor({
psychoJS,
autoLog = false
} = {})
{
super(psychoJS);
this._addAttribute('autoLog', autoLog);
this._addAttribute('status', Shelf.Status.READY);
}
increment()
{/*
// prepare a PsychoJS component:
this._waitForDownloadComponent = {
status: PsychoJS.Status.NOT_STARTED,
clock: new Clock(),
resources: new Set()
};
const self = this;
return () =>
{
const t = self._waitForDownloadComponent.clock.getTime();
// start the component:
if (t >= 0.0 &amp;&amp; self._waitForDownloadComponent.status === PsychoJS.Status.NOT_STARTED)
{
self._waitForDownloadComponent.tStart = t;
self._waitForDownloadComponent.status = PsychoJS.Status.STARTED;
// if resources is an empty array, we consider all registered resources:
if (resources.length === 0)
{
for (const [name, {status, path, data}] of this._resources)
{
resources.append({ name, path });
}
}
// only download those resources not already downloaded or downloading:
const resourcesToDownload = new Set();
for (let {name, path} of resources)
{
// to deal with potential CORS issues, we use the pavlovia.org proxy for resources
// not hosted on pavlovia.org:
if ( (path.toLowerCase().indexOf('www.') === 0 ||
path.toLowerCase().indexOf('http:') === 0 ||
path.toLowerCase().indexOf('https:') === 0) &amp;&amp;
(path.indexOf('pavlovia.org') === -1) )
{
path = 'https://devlovia.org/api/v2/proxy/' + path;
}
const pathStatusData = this._resources.get(name);
// the resource has not been registered yet:
if (typeof pathStatusData === 'undefined')
{
self._resources.set(name, {
status: ServerManager.ResourceStatus.REGISTERED,
path,
data: undefined
});
self._waitForDownloadComponent.resources.add(name);
resourcesToDownload.add(name);
self._psychoJS.logger.debug('registered resource:', name, path);
}
// the resource has been registered but is not downloaded yet:
else if (typeof pathStatusData.status !== ServerManager.ResourceStatus.DOWNLOADED)
// else if (typeof pathStatusData.data === 'undefined')
{
self._waitForDownloadComponent.resources.add(name);
}
}
// start the download:
self._downloadResources(resourcesToDownload);
}
// check whether all resources have been downloaded:
for (const name of self._waitForDownloadComponent.resources)
{
const pathStatusData = this._resources.get(name);
// the resource has not been downloaded yet: loop this component
if (typeof pathStatusData.status !== ServerManager.ResourceStatus.DOWNLOADED)
// if (typeof pathStatusData.data === 'undefined')
{
return Scheduler.Event.FLIP_REPEAT;
}
}
// all resources have been downloaded: move to the next component:
self._waitForDownloadComponent.status = PsychoJS.Status.FINISHED;
return Scheduler.Event.NEXT;
};*/
}
/**
* Increment the integer counter corresponding to the given key by the given amount.
*
* @param {string[]} [key = [] ] key as an array of key components
* @param {number} [increment = 1] increment
* @return {Promise&lt;any>}
*/
async _increment(key = [], increment = 1)
{
const response = {
origin: 'Shelf.increment',
context: 'when incrementing an integer counter'
};
try
{
this._status = Shelf.Status.BUSY;
if (!Array.isArray(key) || key.length === 0)
{
throw 'the key must be a non empty array';
}
// prepare the request:
const componentList = key.reduce((list, component) => list + '+' + component, '');
const url = this._psychoJS.config.pavlovia.URL + '/api/v2/shelf/' + componentList;
const data = { increment };
// query the server:
const response = await fetch(url, {
method: 'POST',
mode: 'cors', // no-cors, *cors, same-origin
cache: 'no-cache', // *default, no-cache, reload, force-cache, only-if-cached
credentials: 'same-origin', // include, *same-origin, omit
headers: {
'Content-Type': 'application/json',
'session-token': ''
},
redirect: 'follow', // manual, *follow, error
referrerPolicy: 'no-referrer', // no-referrer, *no-referrer-when-downgrade, origin, origin-when-cross-origin, same-origin, strict-origin, strict-origin-when-cross-origin, unsafe-url
body: JSON.stringify(data)
});
// convert the response to json:
const document = await response.json();
// return the updated value:
this._status = Shelf.Status.READY;
return document['value'];
}
catch (error)
{
this._status = Shelf.Status.ERROR;
throw {...response, error};
}
}
}
/**
* Shelf status
*
* @name module:data.Shelf#Status
* @enum {Symbol}
* @readonly
* @public
*/
Shelf.Status = {
/**
* The shelf is ready.
*/
READY: Symbol.for('READY'),
/**
* The shelf is busy, e.g. storing or retrieving values.
*/
BUSY: Symbol.for('BUSY'),
/**
* The shelf has encountered an error.
*/
ERROR: Symbol.for('ERROR')
};
</code></pre>
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<!DOCTYPE html>
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<head>
<meta charset="utf-8">
<title>JSDoc: Class: Shelf</title>
<script src="scripts/prettify/prettify.js"> </script>
<script src="scripts/prettify/lang-css.js"> </script>
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<div id="main">
<h1 class="page-title">Class: Shelf</h1>
<section>
<header>
<h2><span class="attribs"><span class="type-signature"></span></span>
<span class="ancestors"><a href="module-data.html">data</a>.</span>Shelf<span class="signature">(options)</span><span class="type-signature"></span></h2>
</header>
<article>
<div class="container-overview">
<h4 class="name" id="Shelf"><span class="type-signature"></span>new Shelf<span class="signature">(options)</span><span class="type-signature"></span></h4>
<div class="description">
<p>Shelf handles persistent key/value pairs, which are stored in the shelf collection on the
server, and accesses in a concurrent fashion</p>
</div>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>options</code></td>
<td class="type">
<span class="param-type">Object</span>
</td>
<td class="description last">
<h6>Properties</h6>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Attributes</th>
<th>Default</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>psychoJS</code></td>
<td class="type">
<span class="param-type"><a href="module-core.PsychoJS.html">module:core.PsychoJS</a></span>
</td>
<td class="attributes">
</td>
<td class="default">
</td>
<td class="description last">the PsychoJS instance</td>
</tr>
<tr>
<td class="name"><code>autoLog</code></td>
<td class="type">
<span class="param-type">boolean</span>
</td>
<td class="attributes">
&lt;optional><br>
</td>
<td class="default">
false
</td>
<td class="description last">whether or not to log</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="data_Shelf.js.html">data/Shelf.js</a>, <a href="data_Shelf.js.html#line14">line 14</a>
</li></ul></dd>
</dl>
</div>
<h3 class="subsection-title">Extends</h3>
<ul>
<li>PsychObject</li>
</ul>
<h3 class="subsection-title">Members</h3>
<h4 class="name" id="Status"><span class="type-signature">(readonly) </span>Status<span class="type-signature"> :Symbol</span></h4>
<div class="description">
Shelf status
</div>
<h5>Type:</h5>
<ul>
<li>
<span class="param-type">Symbol</span>
</li>
</ul>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="data_Shelf.js.html">data/Shelf.js</a>, <a href="data_Shelf.js.html#line193">line 193</a>
</li></ul></dd>
</dl>
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>JSDoc: Class: AudioClip</title>
<script src="scripts/prettify/prettify.js"> </script>
<script src="scripts/prettify/lang-css.js"> </script>
<!--[if lt IE 9]>
<script src="//html5shiv.googlecode.com/svn/trunk/html5.js"></script>
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<h1 class="page-title">Class: AudioClip</h1>
<section>
<header>
<h2><span class="attribs"><span class="type-signature"></span></span>
<span class="ancestors"><a href="module-sound.html">sound</a>.</span>AudioClip<span class="signature">(options)</span><span class="type-signature"></span></h2>
</header>
<article>
<div class="container-overview">
<h4 class="name" id="AudioClip"><span class="type-signature"></span>new AudioClip<span class="signature">(options)</span><span class="type-signature"></span></h4>
<div class="description">
<p>AudioClip encapsulate an audio recording.</p>
</div>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>options</code></td>
<td class="type">
<span class="param-type">Object</span>
</td>
<td class="description last">
<h6>Properties</h6>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Attributes</th>
<th>Default</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>psychoJS</code></td>
<td class="type">
<span class="param-type"><a href="module-core.PsychoJS.html">module:core.PsychoJS</a></span>
</td>
<td class="attributes">
</td>
<td class="default">
</td>
<td class="description last">the PsychoJS instance</td>
</tr>
<tr>
<td class="name"><code>name</code></td>
<td class="type">
<span class="param-type">String</span>
</td>
<td class="attributes">
&lt;optional><br>
</td>
<td class="default">
'audioclip'
</td>
<td class="description last">the name used when logging messages</td>
</tr>
<tr>
<td class="name"><code>format</code></td>
<td class="type">
<span class="param-type">string</span>
</td>
<td class="attributes">
</td>
<td class="default">
</td>
<td class="description last">the format for the audio file</td>
</tr>
<tr>
<td class="name"><code>sampleRateHz</code></td>
<td class="type">
<span class="param-type">number</span>
</td>
<td class="attributes">
</td>
<td class="default">
</td>
<td class="description last">the sampling rate</td>
</tr>
<tr>
<td class="name"><code>data</code></td>
<td class="type">
<span class="param-type">Blob</span>
</td>
<td class="attributes">
</td>
<td class="default">
</td>
<td class="description last">the audio data, in the given format, at the given sampling rate</td>
</tr>
<tr>
<td class="name"><code>autoLog</code></td>
<td class="type">
<span class="param-type">boolean</span>
</td>
<td class="attributes">
&lt;optional><br>
</td>
<td class="default">
false
</td>
<td class="description last">whether or not to log</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="sound_AudioClip.js.html">sound/AudioClip.js</a>, <a href="sound_AudioClip.js.html#line14">line 14</a>
</li></ul></dd>
</dl>
</div>
<h3 class="subsection-title">Members</h3>
<h4 class="name" id="Engine"><span class="type-signature">(readonly) </span>Engine<span class="type-signature"> :Symbol</span></h4>
<div class="description">
Recognition engines.
</div>
<h5>Type:</h5>
<ul>
<li>
<span class="param-type">Symbol</span>
</li>
</ul>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="sound_AudioClip.js.html">sound/AudioClip.js</a>, <a href="sound_AudioClip.js.html#line265">line 265</a>
</li></ul></dd>
</dl>
</article>
</section>
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<pre class="prettyprint source linenums"><code>/**
* AudioClip encapsulate an audio recording.
*
* @author Alain Pitiot and Sotiri Bakagiannis
* @version 2021.x
* @copyright (c) 2021 Open Science Tools Ltd. (https://opensciencetools.org)
* @license Distributed under the terms of the MIT License
*/
import {PsychObject} from "../util/PsychObject";
import {PsychoJS} from "../core/PsychoJS";
/**
* &lt;p>AudioClip encapsulate an audio recording.&lt;/p>
*
* @name module:sound.AudioClip
* @class
* @param {Object} options
* @param {module:core.PsychoJS} options.psychoJS - the PsychoJS instance
* @param {String} [options.name= 'audioclip'] - the name used when logging messages
* @param {string} options.format the format for the audio file
* @param {number} options.sampleRateHz - the sampling rate
* @param {Blob} options.data - the audio data, in the given format, at the given sampling rate
* @param {boolean} [options.autoLog= false] - whether or not to log
*/
export class AudioClip extends PsychObject
{
constructor({psychoJS, name, sampleRateHz, format, data, autoLog} = {})
{
super(psychoJS);
this._addAttribute('name', name, 'audioclip');
this._addAttribute('format', format);
this._addAttribute('sampleRateHz', sampleRateHz);
this._addAttribute('data', data);
this._addAttribute('autoLog', false, autoLog);
this._addAttribute('status', AudioClip.Status.CREATED);
if (this._autoLog)
{
this._psychoJS.experimentLogger.exp(`Created ${this.name} = ${this.toString()}`);
}
// decode the blob into an audio buffer:
this._decodeAudio();
}
play()
{
// TODO check that the audio buffer is ready
// play the audio buffer:
const source = this._audioContext.createBufferSource();
source.buffer = this._audioBuffer;
source.connect(this._audioContext.destination);
source.start();
}
upload()
{
// TODO
}
/**
* Transcribe the audio clip.
*
* ref: https://cloud.google.com/speech-to-text/docs/reference/rest/v1/speech/recognize
*
* @param {Object} options
* @param engine
* @param {String} options.languageCode - the BCP-47 language code for the recognition,
* e.g. 'en-gb'
* @return {Promise&lt;void>}
*/
async transcribe({engine, languageCode} = {})
{
// wait for the decoding to complete:
await this._decodeAudio();
return new Promise(async (resolve, reject) =>
{
// convert the Float32 PCM audio data to UInt16:
const buffer = new ArrayBuffer(this._audioData.length * 2);
const uint16View = new Uint16Array(buffer);
for (let t = 0; t &lt; this._audioData.length; ++t)
{
uint16View[t] = (this._audioData[t] &lt; 0)
? this._audioData[t] * 0x8000
: this._audioData[t] * 0x7FFF;
}
// encode it to base64:
const base64Data = this._base64ArrayBuffer(new Uint8Array(buffer));
// query the Google speech-to-text service:
const body = {
config: {
encoding: 'LINEAR16',
sampleRateHertz: this._sampleRateHz,
languageCode
},
audio: {
content: base64Data
},
};
// TODO get the key from the designer's pavlovia account
const GOOGLE_API_KEY = 'AIzaSyDngTi-pJcVrm_Kr2yTKV8OYLtfRN180gY';
const url = `https://speech.googleapis.com/v1/speech:recognize?key=${GOOGLE_API_KEY}`;
const response = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(body)
});
// convert the response to json:
const results = await response.json();
console.log('>>>> ', results);
resolve(results[0].alternatives[0]);
});
}
_decodeAudio()
{
// if the audio clip is ready, the PCM audio data is available in _audioData, a Float32Array:
if (this._status === AudioClip.Status.READY)
{
return;
}
// if we are already decoding, wait until the process completed:
if (this._status === AudioClip.Status.DECODING)
{
const self = this;
return new Promise(function (resolve, reject)
{
self._decodingCallbacks.push(resolve);
// TODO
// self._errorCallback = reject;
}.bind(this));
}
// otherwise, start decoding the input formatted audio data:
this._status = AudioClip.Status.DECODING;
this._audioData = null;
this._decodingCallbacks = [];
this._audioContext = new (window.AudioContext || window.webkitAudioContext)({
sampleRate: this._sampleRateHz
});
const reader = new window.FileReader();
reader.onloadend = async () =>
{
// decode the ArrayBuffer containing the formatted audio data (e.g. webm)
// into an audio buffer:
this._audioBuffer = await this._audioContext.decodeAudioData(reader.result);
// get the Float32Array containing the PCM data:
this._audioData = this._audioBuffer.getChannelData(0);
// we are now ready to translate and play:
this._status = AudioClip.Status.READY;
// resolve all the promises waiting for the decoding to complete:
for (const callback of this._decodingCallbacks)
{
callback();
}
};
reader.onerror = (error) =>
{
// TODO
}
reader.readAsArrayBuffer(this._data);
}
/**
* Convert an array buffer to a base64 string.
*
* @note this is only very lightly adapted from the folowing post of @Grantlyk:
* https://gist.github.com/jonleighton/958841#gistcomment-1953137
*
* the following only works for small buffers:
* const dataAsString = String.fromCharCode.apply(null, new Uint8Array(buffer));
* base64Data = window.btoa(dataAsString);
*
* @param arrayBuffer
* @return {string} the base64 encoded input buffer
*/
_base64ArrayBuffer(arrayBuffer)
{
let base64 = '';
const encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';
const bytes = new Uint8Array(arrayBuffer);
const byteLength = bytes.byteLength;
const byteRemainder = byteLength % 3;
const mainLength = byteLength - byteRemainder;
let a;
let b;
let c;
let d;
let chunk;
// Main loop deals with bytes in chunks of 3
for (let i = 0; i &lt; mainLength; i += 3) {
// Combine the three bytes into a single integer
chunk = (bytes[i] &lt;&lt; 16) | (bytes[i + 1] &lt;&lt; 8) | bytes[i + 2];
// Use bitmasks to extract 6-bit segments from the triplet
a = (chunk &amp; 16515072) >> 18; // 16515072 = (2^6 - 1) &lt;&lt; 18
b = (chunk &amp; 258048) >> 12; // 258048 = (2^6 - 1) &lt;&lt; 12
c = (chunk &amp; 4032) >> 6; // 4032 = (2^6 - 1) &lt;&lt; 6
d = chunk &amp; 63; // 63 = 2^6 - 1
// Convert the raw binary segments to the appropriate ASCII encoding
base64 += encodings[a] + encodings[b] + encodings[c] + encodings[d];
}
// Deal with the remaining bytes and padding
if (byteRemainder === 1) {
chunk = bytes[mainLength];
a = (chunk &amp; 252) >> 2; // 252 = (2^6 - 1) &lt;&lt; 2
// Set the 4 least significant bits to zero
b = (chunk &amp; 3) &lt;&lt; 4; // 3 = 2^2 - 1
base64 += `${encodings[a]}${encodings[b]}==`;
} else if (byteRemainder === 2) {
chunk = (bytes[mainLength] &lt;&lt; 8) | bytes[mainLength + 1];
a = (chunk &amp; 64512) >> 10; // 64512 = (2^6 - 1) &lt;&lt; 10
b = (chunk &amp; 1008) >> 4; // 1008 = (2^6 - 1) &lt;&lt; 4
// Set the 2 least significant bits to zero
c = (chunk &amp; 15) &lt;&lt; 2; // 15 = 2^4 - 1
base64 += `${encodings[a]}${encodings[b]}${encodings[c]}=`;
}
return base64;
}
}
/**
* Recognition engines.
*
* @name module:sound.AudioClip#Engine
* @enum {Symbol}
* @readonly
* @public
*/
AudioClip.Engine = {
/**
* Google Cloud Speech-to-Text.
*/
GOOGLE: Symbol.for('GOOGLE')
};
/**
* AudioClip status.
*
* @enum {Symbol}
* @readonly
* @public
*/
AudioClip.Status = {
CREATED: Symbol.for('CREATED'),
DECODING: Symbol.for('DECODING'),
READY: Symbol.for('READY')
};
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<pre class="prettyprint source linenums"><code>/**
* Manager handling the recording of audio signal.
*
* @author Alain Pitiot and Sotiri Bakagiannis
* @version 2021.x
* @copyright (c) 2021 Open Science Tools Ltd. (https://opensciencetools.org)
* @license Distributed under the terms of the MIT License
*/
import {Clock} from "../util/Clock";
import {PsychObject} from "../util/PsychObject";
import {PsychoJS} from "../core/PsychoJS";
import * as util from '../util/Util';
import {ExperimentHandler} from "../data/ExperimentHandler";
import {AudioClip} from "./AudioClip";
/**
* &lt;p>This manager handles the recording of audio signal.&lt;/p>
*
* @name module:sound.Microphone
* @class
* @param {Object} options
* @param {module:core.PsychoJS} options.psychoJS - the PsychoJS instance
* @param {String} options.name - the name used when logging messages
* @param {string} [options.format='audio/webm;codecs=opus'] the format for the audio file
* @param {number} [options.sampleRateHz= 48000] - the audio sampling rate, in Hz
* @param {Clock} [options.clock= undefined] - an optional clock
* @param {boolean} [options.autoLog= false] - whether or not to log
*/
export class Microphone extends PsychObject
{
constructor({psychoJS, name, format, sampleRateHz, clock, autoLog} = {})
{
super(psychoJS);
this._addAttribute('name', name, 'microphone');
this._addAttribute('format', format, 'audio/webm;codecs=opus', this._onChange);
this._addAttribute('sampleRateHz', sampleRateHz, 48000, this._onChange);
this._addAttribute('clock', clock, new Clock());
this._addAttribute('autoLog', false, autoLog);
this._addAttribute('status', PsychoJS.Status.NOT_STARTED);
// prepare the recording:
this._prepareRecording();
if (this._autoLog)
{
this._psychoJS.experimentLogger.exp(`Created ${this.name} = ${this.toString()}`);
}
}
/**
* Submit a request to start the recording.
*
* &lt;p>Note that it typically takes 50ms-200ms for the recording to actually starts once
* a request to start has been submitted.&lt;/p>
*
* @name module:sound.Microphone#start
* @public
* @return {Promise} promise fulfilled when the recording actually started
*/
start()
{
// if the microphone is currently paused, a call to start resumes it
// with a new recording:
if (this._status !== PsychoJS.Status.PAUSED)
{
return this.resume({clear: true});
}
if (this._status !== PsychoJS.Status.STARTED)
{
this._psychoJS.logger.debug('request to start audio recording');
try
{
if (!this._recorder)
{
throw 'the recorder has not been created yet, possibly because the participant has not given the authorisation to record audio';
}
this._recorder.start();
// return a promise, which will be satisfied when the recording actually starts, which
// is also when the reset of the clock and the change of status takes place
const self = this;
return new Promise((resolve, reject) =>
{
self._startCallback = resolve;
self._errorCallback = reject;
});
}
catch (error)
{
this._psychoJS.logger.error('unable to start the audio recording: ' + JSON.stringify(error));
this._status = PsychoJS.Status.ERROR;
throw {
origin: 'Microphone.start',
context: 'when starting the audio recording for microphone: ' + this._name,
error
};
}
}
}
/**
* Submit a request to stop the recording.
*
* @name module:sound.Microphone#stop
* @public
* @param {Object} options
* @param {string} [options.filename] the name of the file to which the audio recording will be
* saved
* @return {Promise} promise fulfilled when the recording actually stopped, and the recorded
* data was made available
*/
stop({filename} = {})
{
if (this._status === PsychoJS.Status.STARTED || this._status === PsychoJS.Status.PAUSED)
{
this._psychoJS.logger.debug('request to stop audio recording');
this._stopOptions = {
filename
};
// note: calling the stop method of the MediaRecorder will first raise a dataavailable event,
// and then a stop event
// ref: https://developer.mozilla.org/en-US/docs/Web/API/MediaRecorder/stop
this._recorder.stop();
// return a promise, which will be satisfied when the recording actually stops and the data
// has been made available:
const self = this;
return new Promise((resolve, reject) =>
{
self._stopCallback = resolve;
self._errorCallback = reject;
});
}
}
/**
* Submit a request to pause the recording.
*
* @name module:sound.Microphone#pause
* @public
* @return {Promise} promise fulfilled when the recording actually paused
*/
pause()
{
if (this._status === PsychoJS.Status.STARTED)
{
this._psychoJS.logger.debug('request to pause audio recording');
try
{
if (!this._recorder)
{
throw 'the recorder has not been created yet, possibly because the participant has not given the authorisation to record audio';
}
// note: calling the pause method of the MediaRecorder raises a pause event
this._recorder.pause();
// return a promise, which will be satisfied when the recording actually pauses:
const self = this;
return new Promise((resolve, reject) =>
{
self._pauseCallback = resolve;
self._errorCallback = reject;
});
}
catch (error)
{
self._psychoJS.logger.error('unable to pause the audio recording: ' + JSON.stringify(error));
this._status = PsychoJS.Status.ERROR;
throw {
origin: 'Microphone.pause',
context: 'when pausing the audio recording for microphone: ' + this._name,
error
};
}
}
}
/**
* Submit a request to resume the recording.
*
* &lt;p>resume has no effect if the recording was not previously paused.&lt;/p>
*
* @name module:sound.Microphone#resume
* @param {Object} options
* @param {boolean} [options.clear= false] whether or not to empty the audio buffer before
* resuming the recording
* @return {Promise} promise fulfilled when the recording actually resumed
*/
resume({clear = false } = {})
{
if (this._status === PsychoJS.Status.PAUSED)
{
this._psychoJS.logger.debug('request to resume audio recording');
try
{
if (!this._recorder)
{
throw 'the recorder has not been created yet, possibly because the participant has not given the authorisation to record audio';
}
// empty the audio buffer is needed:
if (clear)
{
this._audioBuffer = [];
// this._audioBuffer.length = 0;
}
this._recorder.resume();
// return a promise, which will be satisfied when the recording actually resumes:
const self = this;
return new Promise((resolve, reject) =>
{
self._resumeCallback = resolve;
self._errorCallback = reject;
});
}
catch (error)
{
self._psychoJS.logger.error('unable to resume the audio recording: ' + JSON.stringify(error));
this._status = PsychoJS.Status.ERROR;
throw {
origin: 'Microphone.resume',
context: 'when resuming the audio recording for microphone: ' + this._name,
error
};
}
}
}
/**
* Submit a request to flush the recording.
*
* @name module:sound.Microphone#flush
* @public
* @return {Promise} promise fulfilled when the data has actually been made available
*/
flush()
{
if (this._status === PsychoJS.Status.STARTED || this._status === PsychoJS.Status.PAUSED)
{
this._psychoJS.logger.debug('request to flush audio recording');
// note: calling the requestData method of the MediaRecorder will raise a
// dataavailable event
// ref: https://developer.mozilla.org/en-US/docs/Web/API/MediaRecorder/requestData
this._recorder.requestData();
// return a promise, which will be satisfied when the data has been made available:
const self = this;
return new Promise((resolve, reject) =>
{
self._dataAvailableCallback = resolve;
self._errorCallback = reject;
});
}
}
/**
* Offer the audio recording to the participant as a sound file to download.
*
* @name module:sound.Microphone#download
* @function
* @public
* @param {string} filename the filename
*/
download(filename = 'audio.webm')
{
const audioBlob = new Blob(this._audioBuffer);
const anchor = document.createElement('a');
anchor.href = window.URL.createObjectURL(audioBlob);
anchor.download = filename;
document.body.appendChild(anchor);
anchor.click();
document.body.removeChild(anchor);
}
/**
* Upload the audio recording to the pavlovia server.
*
* @name module:sound.Microphone#upload
* @function
* @public
* @param {string} tag an optional tag for the audio file
*/
async upload({tag} = {})
{
// default tag: the name of this Microphone object
if (typeof tag === 'undefined')
{
tag = this._name;
}
// add a format-dependent audio extension to the tag:
tag += util.extensionFromMimeType(this._format);
// if the audio recording cannot be uploaded, e.g. the experiment is running locally, or
// if it is piloting mode, then we offer the audio recording as a file for download:
if (this._psychoJS.getEnvironment() !== ExperimentHandler.Environment.SERVER ||
this._psychoJS.config.experiment.status !== 'RUNNING' ||
this._psychoJS._serverMsg.has('__pilotToken'))
{
return this.download(tag);
}
// upload the blob:
const audioBlob = new Blob(this._audioBuffer);
return this._psychoJS.serverManager.uploadAudio(audioBlob, tag);
}
/**
* Get the current audio recording as an AudioClip in the given format.
*
* @name module:sound.Microphone#getRecording
* @function
* @public
* @param {string} tag an optional tag for the audio clip
* @param {boolean} [flush=false] whether or not to first flush the recording
*/
async getRecording({tag, flush = false} = {})
{
// default tag: the name of this Microphone object
if (typeof tag === 'undefined')
{
tag = this._name;
}
/*return new Promise(async (resolve, reject) =>
{
if (flush)
{
await this.flush();
}*/
const audioClip = new AudioClip({
psychoJS: this._psychoJS,
name: tag,
format: this._format,
sampleRateHz: this._sampleRateHz,
data: new Blob(this._audioBuffer)
});
return audioClip;
/*resolve(audioClip);
});*/
/*
return new Promise((resolve, reject) =>
{
// turn the audio buffer into an ArrayBuffer:
const reader = new window.FileReader();
reader.onloadend = async () =>
{
// decode the audio buffer:
const audioBuffer = await this._audioContext.decodeAudioData(reader.result);
console.log(audioBuffer);
// play the audio buffer:
const source = this._audioContext.createBufferSource();
source.buffer = audioBuffer;
source.connect(this._audioContext.destination);
source.start();
// get the Float32Array containing the PCM data:
const audioData = audioBuffer.getChannelData(0);
const audioClip = new AudioClip({
psychoJS: this._psychoJS,
name: tag,
sampleRateHz: this._sampleRateHz,
data: audioData
});
resolve(audioClip);
};
reader.onerror = (error) =>
{
reject(error);
}
reader.readAsArrayBuffer(new Blob(this._audioBuffer));
});
*/
}
/**
* Callback for changes to the recording settings.
*
* &lt;p>Changes to the settings require the recording to stop and be re-started.&lt;/p>
*
* @name module:sound.Microphone#_onChange
* @function
* @protected
*/
_onChange()
{
if (this._status === PsychoJS.Status.STARTED)
{
this.stop();
}
this._prepareRecording();
this.start();
}
/**
* Prepare the recording.
*
* @name module:sound.Microphone#_prepareRecording
* @function
* @protected
*/
async _prepareRecording()
{
// empty the audio buffer:
this._audioBuffer = [];
this._recorder = null;
// // create an audio context (mostly used for getRecording() ):
// this._audioContext = new (window.AudioContext || window.webkitAudioContext)({
// sampleRate: this._sampleRateHz
// });
// create a new audio recorder:
const stream = await navigator.mediaDevices.getUserMedia({
audio: {
advanced: [
{
channelCount: 1,
sampleRate: this._sampleRateHz
}
]
}
});
// check that the specified format is supported, use default if it is not:
let options;
if (typeof this._format === 'string' &amp;&amp; MediaRecorder.isTypeSupported(this._format))
{
options = { type: this._format };
}
else
{
this._psychoJS.logger.warn(`The specified audio format, ${this._format}, is not supported by this browser, using the default format instead`);
}
this._recorder = new MediaRecorder(stream, options);
// setup the callbacks:
const self = this;
// called upon Microphone.start(), at which point the audio data starts being gathered
// into a blob:
this._recorder.onstart = () =>
{
self._audioBuffer.length = 0;
self._clock.reset();
self._status = PsychoJS.Status.STARTED;
self._psychoJS.logger.debug('audio recording started');
// resolve the Microphone.start promise:
if (self._startCallback)
{
self._startCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
};
// called upon Microphone.pause():
this._recorder.onpause = () =>
{
self._status = PsychoJS.Status.PAUSED;
self._psychoJS.logger.debug('audio recording paused');
// resolve the Microphone.pause promise:
if (self._pauseCallback)
{
self._pauseCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
};
// called upon Microphone.resume():
this._recorder.onresume = () =>
{
self._status = PsychoJS.Status.STARTED;
self._psychoJS.logger.debug('audio recording resumed');
// resolve the Microphone.resume promise:
if (self._resumeCallback)
{
self._resumeCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
};
// called when audio data is available, typically upon Microphone.stop() or Microphone.flush():
this._recorder.ondataavailable = (event) =>
{
const data = event.data;
// add data to the buffer:
self._audioBuffer.push(data);
self._psychoJS.logger.debug('audio data added to the buffer');
// resolve the data available promise, if needed:
if (self._dataAvailableCallback)
{
self._dataAvailableCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
};
// called upon Microphone.stop(), after data has been made available:
this._recorder.onstop = () =>
{
self._psychoJS.logger.debug('audio recording stopped');
self._status = PsychoJS.Status.STOPPED;
// resolve the Microphone.stop promise:
if (self._stopCallback)
{
self._stopCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
// treat stop options if there are any:
// download to a file, immediately offered to the participant:
if (typeof self._stopOptions.filename === 'string')
{
self.download(self._stopOptions.filename);
}
};
// called upon recording errors:
this._recorder.onerror = (event) =>
{
// TODO
self._psychoJS.logger.error('audio recording error: ' + JSON.stringify(event));
self._status = PsychoJS.Status.ERROR;
};
}
}
</code></pre>
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<pre class="prettyprint source linenums"><code>/**
* Manager handling the transcription of Speech into Text.
*
* @author Sotiri Bakagiannis and Alain Pitiot
* @version 2021.x
* @copyright (c) 2021 Open Science Tools Ltd. (https://opensciencetools.org)
* @license Distributed under the terms of the MIT License
*/
import {Clock} from "../util/Clock";
import {PsychObject} from "../util/PsychObject";
import {PsychoJS} from "../core/PsychoJS";
/**
* Transcript returned by the transcriber
*
* @name module:sound.Transcript
* @class
*/
export class Transcript
{
constructor(transcriber, text = '', confidence = 0.0)
{
// recognised text:
this.text = text;
// confidence in the recognition:
this.confidence = confidence;
// time the speech started, relative to the Transcriber clock:
this.speechStart = transcriber._speechStart;
// time the speech ended, relative to the Transcriber clock:
this.speechEnd = transcriber._speechEnd;
// time a recognition result was produced, relative to the Transcriber clock:
this.time = transcriber._recognitionTime;
}
}
/**
* &lt;p>This manager handles the transcription of speech into text.&lt;/p>
*
* @name module:sound.Transcriber
* @class
* @param {Object} options
* @param {module:core.PsychoJS} options.psychoJS - the PsychoJS instance
* @param {String} options.name - the name used when logging messages
* @param {number} [options.bufferSize= 10000] - the maximum size of the circular transcript buffer
* @param {String[]} [options.continuous= true] - whether or not to continuously recognise
* @param {String[]} [options.lang= 'en-US'] - the spoken language
* @param {String[]} [options.interimResults= false] - whether or not to make interim results available
* @param {String[]} [options.maxAlternatives= 1] - the maximum number of recognition alternatives
* @param {String[]} [options.tokens= [] ] - the tokens to be recognised. This is experimental technology, not available in all browser.
* @param {Clock} [options.clock= undefined] - an optional clock
* @param {boolean} [options.autoLog= false] - whether or not to log
*
* @todo deal with alternatives, interim results, and recognition errors
*/
export class Transcriber extends PsychObject
{
constructor({psychoJS, name, bufferSize, continuous, lang, interimResults, maxAlternatives, tokens, clock, autoLog} = {})
{
super(psychoJS);
this._addAttribute('name', name, 'transcriber');
this._addAttribute('bufferSize', bufferSize, 10000);
this._addAttribute('continuous', continuous, true, this._onChange);
this._addAttribute('lang', lang, 'en-US', this._onChange);
this._addAttribute('interimResults', interimResults, false, this._onChange);
this._addAttribute('maxAlternatives', maxAlternatives, 1, this._onChange);
this._addAttribute('tokens', tokens, [], this._onChange);
this._addAttribute('clock', clock, new Clock());
this._addAttribute('autoLog', false, autoLog);
this._addAttribute('status', PsychoJS.Status.NOT_STARTED);
// prepare the transcription:
this._prepareTranscription();
if (this._autoLog)
{
this._psychoJS.experimentLogger.exp(`Created ${this.name} = ${this.toString()}`);
}
}
/**
* Start the transcription.
*
* @name module:sound.Transcriber#start
* @function
* @public
* @return {Promise} promise fulfilled when the transcription actually started
*/
start()
{
if (this._status !== PsychoJS.Status.STARTED)
{
this._psychoJS.logger.debug('request to start speech to text transcription');
try
{
if (!this._recognition)
{
throw 'the speech recognition has not been initialised yet, possibly because the participant has not given the authorisation to record audio';
}
this._recognition.start();
// return a promise, which will be satisfied when the transcription actually starts,
// which is also when the reset of the clock and the change of status takes place
const self = this;
return new Promise((resolve, reject) =>
{
self._startCallback = resolve;
self._errorCallback = reject;
});
}
catch (error)
{
// TODO Strangely, start sometimes fails with the message that the recognition has already started. It is most probably a bug in the implementation of the Web Speech API. We need to catch this particular error and no throw on this occasion
this._psychoJS.logger.error('unable to start the speech to text transcription: ' + JSON.stringify(error));
this._status = PsychoJS.Status.ERROR;
throw {
origin: 'Transcriber.start',
context: 'when starting the speech to text transcription with transcriber: ' + this._name,
error
};
}
}
}
/**
* Stop the transcription.
*
* @name module:sound.Transcriber#stop
* @function
* @public
* @return {Promise} promise fulfilled when the speech recognition actually stopped
*/
stop()
{
if (this._status === PsychoJS.Status.STARTED)
{
this._psychoJS.logger.debug('request to stop speech to text transcription');
this._recognition.stop();
// return a promise, which will be satisfied when the recognition actually stops:
const self = this;
return new Promise((resolve, reject) =>
{
self._stopCallback = resolve;
self._errorCallback = reject;
});
}
}
/**
* Get the list of transcripts still in the buffer, i.e. those that have not been
* previously cleared by calls to getTranscripts with clear = true.
*
* @name module:sound.Transcriber#getTranscripts
* @function
* @public
* @param {Object} options
* @param {string[]} [options.transcriptList= []]] - the list of transcripts texts to consider. If transcriptList is empty, we consider all transcripts.
* @param {boolean} [options.clear= false] - whether or not to keep in the buffer the transcripts for a subsequent call to getTranscripts. If a keyList has been given and clear = true, we only remove from the buffer those keys in keyList
* @return {Transcript[]} the list of transcripts still in the buffer
*/
getTranscripts({
transcriptList = [],
clear = true
} = {})
{
// if nothing in the buffer, return immediately:
if (this._bufferLength === 0)
{
return [];
}
// iterate over the buffer, from start to end, and discard the null transcripts (i.e. those
// previously cleared):
const filteredTranscripts = [];
const bufferWrap = (this._bufferLength === this._bufferSize);
let i = bufferWrap ? this._bufferIndex : -1;
do
{
i = (i + 1) % this._bufferSize;
const transcript = this._circularBuffer[i];
if (transcript)
{
// if the transcriptList is empty of the transcript text is in the transcriptList:
if (transcriptList.length === 0 || transcriptList.includes(transcript.text))
{
filteredTranscripts.push(transcript);
if (clear)
{
this._circularBuffer[i] = null;
}
}
}
} while (i !== this._bufferIndex);
return filteredTranscripts;
}
/**
* Clear all transcripts and resets the circular buffers.
*
* @name module:sound.Transcriber#clearTranscripts
* @function
*/
clearTranscripts()
{
// circular buffer of transcripts:
this._circularBuffer = new Array(this._bufferSize);
this._bufferLength = 0;
this._bufferIndex = -1;
}
/**
* Callback for changes to the recognition settings.
*
* &lt;p>Changes to the recognition settings require the recognition to stop and be re-started.&lt;/p>
*
* @name module:sound.Transcriber#_onChange
* @function
* @protected
*/
_onChange()
{
if (this._status === PsychoJS.Status.STARTED)
{
this.stop();
}
this._prepareTranscription();
this.start();
}
/**
* Prepare the transcription.
*
* @name module:sound.Transcriber#_prepareTranscription
* @function
* @protected
*/
_prepareTranscription()
{
// setup the circular buffer of transcripts:
this.clearTranscripts();
// recognition settings:
const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
this._recognition = new SpeechRecognition();
this._recognition.continuous = this._continuous;
this._recognition.lang = this._lang;
this._recognition.interimResults = this._interimResults;
this._recognition.maxAlternatives = this._maxAlternatives;
// grammar list with tokens added:
if (Array.isArray(this._tokens) &amp;&amp; this._tokens.length > 0)
{
const SpeechGrammarList = window.SpeechGrammarList || window.webkitSpeechGrammarList;
// note: we accepts JSGF encoded strings, and relative weight indicator between 0.0 and 1.0
// ref: https://www.w3.org/TR/jsgf/
const name = 'NULL';
const grammar = `#JSGF V1.0; grammar ${name}; public &lt;${name}> = ${this._tokens.join('|')};`
const grammarList = new SpeechGrammarList();
grammarList.addFromString(grammar, 1);
this._recognition.grammars = grammarList;
}
// setup the callbacks:
const self = this;
// called when the start of a speech is detected:
this._recognition.onspeechstart = (e) =>
{
this._currentSpeechStart = this._clock.getTime();
self._psychoJS.logger.debug('speech started');
}
// called when the end of a speech is detected:
this._recognition.onspeechend = () =>
{
this._currentSpeechEnd = this._clock.getTime();
// this._recognition.stop();
self._psychoJS.logger.debug('speech ended');
}
// called when the recognition actually started:
this._recognition.onstart = () =>
{
this._clock.reset();
this._status = PsychoJS.Status.STARTED;
self._psychoJS.logger.debug('speech recognition started');
// resolve the Transcriber.start promise, if need be:
if (self._startCallback())
{
self._startCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
}
// called whenever stop() or abort() are called:
this._recognition.onend = () =>
{
this._status = PsychoJS.Status.STOPPED;
self._psychoJS.logger.debug('speech recognition ended');
// resolve the Transcriber.stop promise, if need be:
if (self._stopCallback)
{
self._stopCallback({
time: self._psychoJS.monotonicClock.getTime()
});
}
}
// called whenever a new result is available:
this._recognition.onresult = (event) =>
{
this._recognitionTime = this._clock.getTime();
// do not process the results if the Recogniser is not STARTED:
if (self._status !== PsychoJS.Status.STARTED)
{
return;
}
// in continuous recognition mode, we need to get the result at resultIndex,
// otherwise we pick the first result
const resultIndex = (self._continuous) ? event.resultIndex : 0;
// TODO at the moment we consider only the first alternative:
const alternativeIndex = 0;
const results = event.results;
const text = results[resultIndex][alternativeIndex].transcript;
const confidence = results[resultIndex][alternativeIndex].confidence;
// create a new transcript:
const transcript = new Transcript(self, text, confidence);
// insert it in the circular transcript buffer:
self._bufferIndex = (self._bufferIndex + 1) % self._bufferSize;
self._bufferLength = Math.min(self._bufferLength + 1, self._bufferSize);
self._circularBuffer[self._bufferIndex] = transcript;
self._psychoJS.logger.debug('speech recognition transcript: ', JSON.stringify(transcript));
}
// called upon recognition errors:
this._recognition.onerror = (event) =>
{
// lack of speech is not an error:
if (event.error === 'no-speech')
{
return;
}
self._psychoJS.logger.error('speech recognition error: ', JSON.stringify(event));
self._status = PsychoJS.Status.ERROR;
}
}
}
</code></pre>
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@ -733,7 +733,7 @@ export class PsychoJS
source: source, source: source,
lineno: lineno, lineno: lineno,
colno: colno, colno: colno,
error: error.stack error: error
})); }));
self._gui.dialog({"error": error}); self._gui.dialog({"error": error});