Samochart/plot_TM_CIESS.html at master · patriceguyot/Samochart · GitHub

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<!DOCTYPE html>
<html>
<head>
	<meta charset="UTF-8">
	<title>Test TM-Chart</title>


	<script type="text/javascript" src="js/plot.js"></script>
	<script src="js/jquery-2.1.1.js"></script>
	<script src="js/jquery.csv-0.71.js"></script>
	<script src="js/classes.js"></script>


	<style type="text/css">
	body {
	background-color: #b0c4de;
	}

	#global {
	margin-left: auto;
	margin-right: auto;
	width:1100px;
	background-color:white;
	}

	#showresult {
  	width:98%;
  	height: 300px;
	}
	</style>

</head>

<body>

	<div id="global">
	<center>
	<h1>TM-chart visualization</h1>
	</center>

	<div id="glass" align="right">
	<table>
	<tr>
	<td><input type="image" id="glass_up" src="html/images/loupe_up.jpg" style="width:50px" onClick="glass_up();"/></td>
	<td><input type="image" id="glass_down" src="html/images/loupe_down.jpg" style="width:50px" onClick="glass_down();"/></td>
	</tr>
	</table>
	</div>

	<center>
	<input type="file" id="files_input" multiple/>
	<svg id="svgzone" xmlns="http://www.w3.org/2000/svg">
	</svg>
	</center>
	</div>


<script>


function glass_up(){
	console.log("scale_plotTM : ",scale_plotTM);
	$("svg").empty();
	scale_plotTM+=0.1;
	console.log("Magnifing glass up. scale_plotTM : ",scale_plotTM);
	plotlegend()
	plotTMarray(svg,shift_x,shift_y,corpus,scale_plotTM,xmax);
}


function glass_down(){
	console.log("scale_plotTM : ",scale_plotTM);
	$("svg").empty();
	if (scale_plotTM>0.1) {scale_plotTM-=0.1;}
	console.log("Magnifing glass down. scale_plotTM : ",scale_plotTM);
	plotlegend()
	plotTMarray(svg,shift_x,shift_y,corpus,scale_plotTM,xmax);
}


function getcolumn(array,numcolumn){
// Otput a specific float column from an array of string
   out=[];
   for (var i=0; i 	< array.length; i++) {
	   out.push(parseFloat(array[i][numcolumn]));
   }
   return out;
}


percent = function (values,thres){
// Return the % of the length of an sorted array which is superior to a specified value thres
  		var i=0;
  		while (values[i]>=thres) {i++;}
  		return (100*i/values.length);
}


makeColorFromSteps = function(filters){
// From a step array (values between 0 and 1) return an array of values between 0 and 100
    var confidence= new Array(filters.length);
    for(var i=0; i < confidence.length; i++)
    {
        confidence[i]= Math.round(filters[i]*100);
    }
    return confidence;
}


function openFiles(evt) {

  var file_read=0;
  var numberOfFile=0;

  var files = evt.target.files; // FileList object
  numberOfFile=files.length;
  console.log('Number of files : ' + numberOfFile);

  for (var i = 0; i < numberOfFile; i++) {

  	var file=files[i];

  	reader = new FileReader();
  	//console.log('Reading file : ' + file.name);

    reader.onloadend = function() {
    	file_read++;
    	if (file_read==numberOfFile){
    		console.log('Reading finish');
    		console.log(corpus);
    		add_audio(corpus);
    		plotlegend();
    		plotTMarray(svg,shift_x,shift_y,corpus,scale_plotTM,xmax);

    		}
    	}

    reader.onload = (function(f) {
            return function(e) {
            	console.log('----------------------------');
            	console.log('f.name', f.name);
            	var recording;
  				var source;
  				var filter;
            	[recording,source,filter]=getNamesFromFilename(f.name, '--', '.txt')

                var data = $.csv.toArrays(e.target.result,{separator:'\t'});
                var duration=data[data.length-1][0];

                if (!recording.duration===false && recording.duration!=duration){
					console.log("Warning, duration source \"" +  source.sourceName + "\" is not the same of the other source durations in the file " + recording.recordingName)
					}
		 		recording.duration=duration;

		 		var values=getcolumn(data,1);
                values.sort();
				values.reverse();
		 		source.data=values;
		 		source.percentOfDuration=percent(values,filter.threshold);
		 		source.filter=filter;
		 		source.fileName=f.name;
		 		source.makeHeigths();

		 		// console.log('recording.recordingName', recording.recordingName);
// 		 		console.log('source.sourceName', source.sourceName);
// 		 		console.log('source.data', source.data);
// 		 		console.log('source.percentOfDuration', source.percentOfDuration);
//		 		console.log('filter.filterName', filter.filterName);
				console.log('source.heights', source.heights);

            	};
        })(file);

    	reader.readAsText(file);
    	}
}


function getNamesFromFilename(filename, delimiteur, extension){

		var recordingName = filename.slice(0,filename.search(delimiteur));
		var sourceName = filename.slice(filename.search(delimiteur)+delimiteur.length, filename.search(extension));
		var source=new Source(sourceName);

		if (typeof(corpus.getFilter(sourceName)) == 'undefined') // Check is the filter is well defined in the corpus
		{  	throw new Error("Filter name \"" + sourceName + "\" not known") 	}
		else { 	var filter=corpus.getFilter(sourceName); 	}


		if (typeof(corpus.getRecording(recordingName)) == 'undefined')
		{	// The recording is not in the corpus. We create a new recording and add the source to the recording
			var recording = new Recording(recordingName);
			corpus.addRecording(recording);
			recording.addSource(source);
		}
		else
		{	// The recording is already is the corpus. We add the source to the recording
			var recording = corpus.getRecording(recordingName);
			recording.addSource(source);
		}
		return [recording,source,filter];
}


function add_audio(corpus)
// the audio file is added from the same directory for each files..
	{
	for (var i=0; i<corpus.recordings.length; i++){
		var file=corpus.recordings[i].recordingName;
		//console.log(file);
		corpus.recordings[i].audioFile="audio/" + file + ".wav"
	}
	}


function plotlegend(){
	var origin_x=290;
	var origin_y=47;
	var scale=3;
	plotlegendbar3plot(svg,corpus,origin_x,origin_y,scale);
	}


	// Beginning of the main program

	var audio = new Audio();


	audio.onplay = function() {
    	console.log("playing : " +audio.src)
	};


	var svg = document.getElementById('svgzone');
	var corpus = new Corpus("moncorpus"	);

	var filter1 = new Filter("footstep");
	var filter2 = new Filter("horn");
	var filter3 = new Filter("motor");
	corpus.addFilter(filter1);
	corpus.addFilter(filter2);
	corpus.addFilter(filter3);
	filter1.threshold=0.4;
	filter2.threshold=0.2;
	filter3.threshold=0.3;
	filter1.numberOfStep=3;
	filter2.numberOfStep=3;
	filter3.numberOfStep=3;
	filter1.color=230; // Hue of hsl color
	filter2.color=130;
	filter3.color=50;
	filter1.makeSteps();
	filter2.makeSteps();
	filter3.makeSteps();


	// SVG size
	svg.setAttribute("width", "1100");
	svg.setAttribute("height", "2400");

	// shift to plot TM-chart
	var shift_y=120;
	var shift_x=50;
	var scale_plotTM=0.4;
	var xmax= document.getElementById('svgzone').getAttributeNS(null, 'width');


	console.log(corpus);
	files_input.addEventListener("change", openFiles, false);


	console.log(corpus);


</script>


</body>
</html>