How to read an uploaded csv file with dojo uploader without saving it in a server? -


i want import csv file , read data on without saving file in server. how can do?
prefer use dojo if isn't possible can use html input type file.

this.import = new uploader({                label: "import",                showlabel: true,                iconclass: "uploadbtn",                multiple: false,                uploadonselect: false,                onbegin: function() {                   progressdialog.show();                },                onprogress: function(rev) {                   console.log("progress", rev);                   if (rev.type === "load") {                      progressdialog.close();                      this.reset();                      // read file , use data                   }                },                onchange: function() {                   console.log("file: ", this.getfilelist());                   var file = this.getfilelist();                    if (file[0].type != "text/csv"){                      console.log("not csv file");                      this.reset();                   }else{                      this.upload(file[0]);                   }                 }             }, domconstruct.create("div", {                style: ""             }, this.toolbarnode));             this.import.startup();

i resolved!

this.uploader = domconstruct.create("input", {    type: "file",    accept: ".csv",    change: function(e) {       // console.log(e);       var uploader = this;       if (e.target.files && e.target.files[0]) {          var fr = new filereader();          fr.onload = function(up) {             var format = up.target.result.substring(up.target.result.indexof("/") + 1, up.target.result.indexof(";"));             if (format == "csv") {                var base64 = up.target.result.substring(up.target.result.indexof(",") + 1, up.target.result.length);                var csv = window.atob(base64);                 // split input lines                var lines = csv.split('\n');                // extract column names first line                var columnnamesline = lines[0];                var columnnames = parse(columnnamesline);                // extract data subsequent lines                var datalines = lines.slice(1);                var data = datalines.map(parse);                // prints array of colomuns                // console.log(columnnames);                if (columnnames[0] == "code" && columnnames[1] == "description") {                   // prints data                   // console.log(data);                   var dataobjects = data.map(function(arr) {                      var dataobject = {};                      columnnames.foreach(function(columnname, i) {                         dataobject[columnname] = arr[i];                      });                      return dataobject;                   });                   // prints data object                   console.log(dataobjects); // final data                 } else {                   // notification: format error                }              } else {                // notification: file format error             }             uploader.value = "";          };          fr.readasdataurl(e.target.files[0]);       }    } });

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