import AudioCanvasVisualizer from "./AudioCanvasVisualizer";
/**
* This abstract class is in charge of visualizing Audio based on chart.js framework and using a decoded AudioBuffer.
* @extends AudioCanvasVisualizer
*/
class AudioChartVisualizer extends AudioCanvasVisualizer {
/**
* Create a visualizer.
* @param {Object} [properties={}] - the properties of the visualizer
* @param {string} properties.container - The div element to attach to
* @param {string} [properties.css=''] - The css classes to set, can be multiple if separate by spaces
* @param {Number} properties.fftSize - The fftSize property of the AnalyserNode interface is an unsigned long value and represents the window size in samples that is used when performing a Fast Fourier Transform (FFT) to get frequency/time domain data.
* @param {Object} [properties.chartjsProps={}] - Properties which can override the default framework ones
* @param {Object} [properties.chartjsProps.datasetsProps={}] - chart.js [dataset options]{@link https://www.chartjs.org/docs/latest/charts/line.html#dataset-properties}.
* @param {Object} [properties.chartjsProps.chartProps={}] - chart.js [context configuration options]{@link https://www.chartjs.org/docs/latest/configuration}
*/
constructor(properties) {
super(properties);
}
parseDate(intTimeStamp) {
const date = new Date(intTimeStamp);
return this.withLeadingZeros(date.getUTCHours()) + ":" + this.withLeadingZeros(date.getUTCMinutes()) + ":"
+ this.withLeadingZeros(date.getUTCSeconds());
}
withLeadingZeros(dt) {
return (dt < 10 ? '0' : '') + dt;
}
reset() {
this.resetting = true;
this.chart.stop();
this.chart.data.labels = [];
this.chart.data.datasets.forEach( dataset => dataset.data = []);
this.chart.update(0);
this.resetting = false;
// this.chart.data.datasets = [];
// this.chart.update();
}
onended() {}
}
export default AudioChartVisualizer;