timbre-study/data_display_end.html at master · nerrull/timbre-study · GitHub

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<!DOCTYPE html>

<html>

<script src="javascript/jquery-3.1.1.min.js"></script>
<script src="/assets/javascripts/jatos.js"></script>
<script src="lib/papaparse.min.js"></script>
<script src="lib/d3.min.js"></script>
<script src="filesaver/FileSaver.js"></script>

<link href="static/css/forms.css" rel="stylesheet" type="text/css" media="all">
<link rel="stylesheet" href="bootstrap-3.3.7/css/bootstrap.min.css">

<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>

</body>
<div class=FormBox>
    <div id="message_div"></div>
    <div id="data_div">
        <h3> Résultats</h3>
    </div>

    <br>
    <button id="db" type="button" class="btn">Télécharger</button>
    <button id="download_button_full" type="button" class="btn">Télécharger résultats détaillés</button>

</div>
<script>

    function median(values){
        values.sort(function(a,b){
            return a-b;
        });

        if(values.length ===0) return 0

        var half = Math.floor(values.length / 2);

        if (values.length % 2)
        return values[half];
        else
        return (values[half - 1] + values[half]) / 2.0;
    }


    function displayCSV(data){
        var parsedCSV = d3.csvParseRows(data);
        var container = d3.select("#data_div")
        .append("table")

        .selectAll("tr")
        .data(parsedCSV).enter()
        .append("tr")

        .selectAll("td")
        .data(function(d) { return d; }).enter()
        .append("td")
        .text(function(d) { return d; });
    }

    jatos.onLoad(function () {
        var lang = "default";
        if (jatos.studySessionData.language){
            lang = jatos.studySessionData.language;
        }
        mode = jatos.studySessionData.task_type;
        results = jatos.studySessionData.results;
        formatted_data = {
            "fields" : ["Partie", "Numero de tache", "Temps (ms)", "# Erreurs", "# Ecoutes"],
            "data" :[]
        }

        formatted_time_data = {
            "fields" : ["Partie", "Meilleur temps (ms)", "Pire temps (ms)", "Temps moyen (ms)", "Temps mediane(ms)", "# Erreurs", "# Ecoutes"],
            "data" :[]
        }
        all_phase_names = {
            "COLOR":{
                1:"Partie 1a - Recherche de sons ",
                2:"Partie 1b - Recherche de sons (rapidement)",
                3:"Partie 2a - Association entre son et couleur",
                4:"Partie 2a - Association entre son et couleur (rapidement)",
                5:"Partie 3 - Recherche de sons à l'aide de la couleur",
            },
            "TEXTURE":{
                1:"Partie 1a - Recherche de sons ",
                2:"Partie 1b - Recherche de sons (rapidement)",
                3:"Partie 2a - Association entre sons et textures",
                4:"Partie 2a - Association entre sons et textures (rapidement)",
                5:"Partie 3 - Recherche de sons à l'aide de la texture",
            },
            "SHAPE":{
                1:"Partie 1a - Recherche de sons ",
                2:"Partie 1b - Recherche de sons (rapidement)",
                3:"Partie 2a - Association entre sons et formes",
                4:"Partie 2a - Association entre sons et formes (rapidement)",
                5:"Partie 3 - Recherche de sons à l'aide de la forme",
            }
        }
        console.log(mode);
        phase_names=all_phase_names[mode];


        //Get data skipping training session
        for( let phase_index = 1;phase_index<Object.keys(results).length;phase_index++){
            phase_data = results[phase_index];
            var times = []
            var errors = 0;
            var listens = 0;
            for(let task_index =0 ;task_index<Object.keys(phase_data).length;task_index++){
                task_data = phase_data[task_index];
                formatted_data["data"].push( [phase_names[phase_index], task_index, task_data["time"], task_data["misclicks"],  task_data["listens"]]);
                times.push(task_data["time"]);
                errors += task_data["misclicks"];
                listens +=  task_data["listens"];
            }

            bestTime = Math.min(...times);
            worstTime = Math.max(...times);
            averageTime = times.reduce((a,b) => a + b, 0)/times.length;
            medTime = median(times)
            formatted_time_data["data"].push([phase_names[phase_index], bestTime, worstTime, averageTime, medTime, errors,listens])
        }

        console.log(formatted_data);
        data_csv = Papa.unparse(formatted_data);
        time_csv = Papa.unparse(formatted_time_data);
        displayCSV(time_csv);

        data_csv_blob = new Blob([data_csv], { type: "text/csv;charset=utf-8" });
        time_csv_blob = new Blob([time_csv], { type: "text/csv;charset=utf-8" });


        $.ajax({
            url:"static/html/task_descriptions.html",
            type:'GET',
            success: function(data) {

                let message = $('<div>').append(data).find('#end_message_students').find(`#${lang}`)
                    $('#message_div').html( message );
                    document.body.innerHTML = document.body.innerHTML.replace(/ID_STRING/g, jatos.studySessionData["uuid"]);

                    $("#db").click(function(){
                        // debugger;
                        saveAs(time_csv_blob, "donnees_etude.csv");
                        // l = createDownloadableCsvFile("donnees_etude.csv", time_csv)
                        console.log("Download")
                    });

                    $("#download_button_full").click(function(){
                        console.log("Download 2")
                        saveAs(data_csv_blob, "donnees_etude_completes.csv");
                    });

                }
            });

        });
    </script>


</body>