trcsvjs

A csv manager module for node and browser. This module wrapp papaparse library and add extra features. See papaparse page for more information: https://www.npmjs.com/package/papaparse

Include/Declare

Include in Browser

    // ....
    <script type='text/javascript' src='PATH/TO/LIB/node_modules/papaparse/papaparse.min.js?'></script>
	<script type='text/javascript' src='PATH/TO/LIB/trcsvjs.min.js?'></script>
	// Trcsvjs available
	// ....

Declare in NodeJs

    npm install trcsvjs
    //....
    var Trcsvjs = require('trcsvjs')

Creating a csv object

Library Trcsvjs implement a list of functions that allow to create a csv object

    // Create csv object from string CSV_STRING
    Trcsvjs.csvStringToJs(CSV_STRING[,config],callback) //callback(err,csv)

    // Create csv object from file getted from DOM
    Trcsvjs.getCsvFromFile(ELEMENT_FILE_FROM_DOM[,config],callback) //callback(err,csv)

    // Create csv object from csv in URL
    Trcsvjs.getCsvFromUrl(URL[,config],callback) //callback(err,csv)

    // Create empty csv object
    var csv = Trcsvjs.getEmptyCsv([config])

Config

Config use same parameters than papaparse. See papaparse page for more information: https://www.npmjs.com/package/papaparse

Usage of CSV object

After you create a csv object, you can manage it using its function. All reference to position for column and row start at 1..n

//Init csv using directly an array of array [[],[],[],[]] -> [ROW,ROW,ROW,..]
csv.initCsvFromArray(array);

//Return cell value in column "col" of row "pos"
var value = csv.getCell(pos, col);

//Return cell value in column "col" of row "pos"
var value = csv.getCell(pos, col);

//Set value of cell in column "col" of row "pos"
csv.setCell(pos, col, value);

//Return all csv converted in string
var text = csv.getCsvText(config); //use papaparse, config of papaparse

//Create a file in browser and force download (not in NodeJs)
csv.browseCsv(filename, config); //use papaparse, config of papaparse

//Return row (array[]) in position "pos"
var row = csv.getRow(pos);

//Return row converted in object from row in position "pos". To convert row in object use objspec
var obj = csv.getObjFromRow(pos, objspec);

//Return row array convertirg an object into a row. To convert object in row use objspec
var row = csv.getRowFromObj(pos, objspec);

//Insert row (array[]) at the end of file
csv.insertRow(row);

//Insert row (array[]) at position pos
csv.insertRowInPos(row, pos);

//Insert row convertif first from object
csv.insertRowFromObj(obj, objspec);
csv.insertRowInPosFromObj(obj, pos, objspec);

Object Spec

You can create easly an object from a row using an object spec. An object spec is like:

{
    "name_field_1":CONF_FIELD,
    "name_field_2":CONF_FIELD,
}

If you have a row like ['foo','bar'] and convert in object using previous spec you receive an object:

{
    "name_field_1" : 'foo',
    "name_field_2" : 'bar'
}

It also accept deep objects, for example:

{
    "a" : {
        "a1" : {
            "a11" : CONF_FIELD,
            "a12"  : CONF_FIELD
        },
        "a2" : CONF_FIELD
    },
    "b" : "CONF_FIELD
}

convert row [1,2,3,4] in:

{
    "a" : {
        "a1" : {
            "a11" : 1,
            ""a12"  : 2
        },
        "a2" : 2
    },
    "b" : "3
}

Also, if you use object spec to convert an object in array (row) the process is exactly the opposite

CONF_FIELD

Conf field is a special configuration that allow to automaticaly implement typical process to a value before converting to object/array. Valid values are:

• '': //Do nothing, pass throught value
• 'd': //Convert value from row in an integer and viceversa
• 'dz': //Convert value from row in an integer and viceversa. If value of cell is empty, assign 0
• 'f': //Convert value from row in a float and viceversa
• 'fz': //Convert value from row in a float and viceversa. If value of cell is empty, assign 0. Also detect ',' and convert in '.'
• 'dt': //Detect d/m/Y spanish and convert to Y-m-d
• 'b': Convert 1/0 values from excel into true/false in JS and viceversa
• 'sc': Implement a separated comma array. For example a value in cell like 1,2,3 is converted to [1,2,3] and viceversa