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CSVtoJSON

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This project is not dependent on others packages or libraries.

Table of Contents

Description

Converts csv files to JSON files with Node.js.

Give an input file like:

first_name last_name email gender age zip registered
Constantin Langsdon [email protected] Male 96 123 true
Norah Raison [email protected] Female 32 false

e.g. :

first_name;last_name;email;gender;age;zip;registered
Constantin;Langsdon;[email protected];Male;96;123;true
Norah;Raison;[email protected];Female;32;;false

will generate:

[
 {
  "first_name": "Constantin",
  "last_name": "Langsdon",
  "email": "[email protected]",
  "gender": "Male",
  "age": "96",
  "zip": "123",
  "registered": "true"
 },
 {
  "first_name": "Norah",
  "last_name": "Raison",
  "email": "[email protected]",
  "gender": "Female",
  "age": "32",
  "zip": "",
  "registered": "false"
 }
]

Prerequisites

NPM (see Installing Npm).

Install npm convert-csv-to-json package

Go to NPM package convert-csv-to-json.

Install

Install package in your package.json

$ npm install convert-csv-to-json --save

Install package on your machine

$ npm install -g convert-csv-to-json

Usage

Generate JSON file

let csvToJson = require('convert-csv-to-json');

let fileInputName = 'myInputFile.csv'; 
let fileOutputName = 'myOutputFile.json';

csvToJson.generateJsonFileFromCsv(fileInputName,fileOutputName);

Generate Array of Object in JSON format

let csvToJson = require('convert-csv-to-json');

let json = csvToJson.getJsonFromCsv("myInputFile.csv");
for(let i=0; i<json.length;i++){
    console.log(json[i]);
}

Generate Object with sub array

firstName;lastName;email;gender;age;birth;sons
Constantin;Langsdon;[email protected];Male;96;10.02.1965;*diego,marek,dries*

Given the above CSV example, to generate a JSON Object with properties that contains sub Array, like the property sons with the values diego,marek,dries you have to call the function parseSubArray(delimiter, separator) . To generate the JSON Object with sub array from the above CSV example:

    csvToJson.parseSubArray('*',',')
                .getJsonFromCsv('myInputFile.csv');

The result will be:

[
  {
      "firstName": "Constantin",
      "lastName": "Langsdon",
      "email": "[email protected]",
      "gender": "Male",
      "age": "96",
      "birth": "10.02.1965",
      "sons": ["diego","marek","dries"]
    }
]

Define field delimiter

A field delimiter is needed to split the parsed values. As default the field delimiter is the semicolon (;), this means that during the parsing when a semicolon (;) is matched a new JSON entry is created. In case your CSV file has defined another field delimiter you have to call the function fieldDelimiter(myDelimiter) and pass it as parameter the field delimiter.

E.g. if your field delimiter is the comma , then:

 csvToJson.fieldDelimiter(',')
            .getJsonFromCsv(fileInputName);

Support Quoted Fields

To be able to parse correctly fields wrapped in quote, like the last_name in the first row in the following example:

first_name last_name email
Constantin "Langsdon,Nandson,Gangson" [email protected]

you need to activate the support quoted fields feature:

 csvToJson.supportQuotedField(true)
            .getJsonFromCsv(fileInputName);

The result will be:

[
  {
      "firstName": "Constantin",
      "lastName": "Langsdon,Nandson,Gangson",
      "email": "[email protected]"
    }
]

Index header

If the header is not on the first line you can define the header index like:

 csvToJson.indexHeader(3)
            .getJsonFromCsv(fileInputName);

Empty rows

Empty rows are ignored and not parsed.

Format property value by type

If you want that a number will be printed as a Number type, and values true or false is printed as a boolean Type, use:

 csvToJson.formatValueByType()
            .getJsonFromCsv(fileInputName);

For example:

[
 {
  "first_name": "Constantin",
  "last_name": "Langsdon",
  "email": "[email protected]",
  "gender": "Male",
  "age": 96,
  "zip": 123,
  "registered": true
 },
 {
  "first_name": "Norah",
  "last_name": "Raison",
  "email": "[email protected]",
  "gender": "Female",
  "age": 32,
  "zip": "",
  "registered": false
 }
]
Number

The property age is printed as

 "age": 32

instead of

  "age": "32"
Boolean

The property registered is printed as

 "registered": true

instead of

  "registered": "true"

Encoding

You can read and decode files with the following encoding:

  • utf8:
     csvToJson.utf8Encoding()
                .getJsonFromCsv(fileInputName);
  • ucs2:
      csvToJson.ucs2Encoding()
                .getJsonFromCsv(fileInputName);
  • utf16le:
      csvToJson.utf16leEncoding()
                 .getJsonFromCsv(fileInputName);
  • latin1:
      csvToJson.latin1Encoding()
                 .getJsonFromCsv(fileInputName);
  • ascii:
      csvToJson.asciiEncoding()
                 .getJsonFromCsv(fileInputName);
  • base64:
      csvToJson.base64Encoding()
                 .getJsonFromCsv(fileInputName);
  • hex:
      csvToJson.hexEncoding()
                 .getJsonFromCsv(fileInputName);

Chaining Pattern

The exposed API is implemented with the Method Chaining Pattern, which means that multiple methods can be chained, e.g.:

let csvToJson = require('convert-csv-to-json');

csvToJson.fieldDelimiter(',')
            .formatValueByType()
            .parseSubArray("*",',')
            .supportQuotedField(true)
            .getJsonFromCsv('myInputFile.csv');

Development

  • Download all csvToJson dependencies:
    npm install
    
  • Run Tests
    npm test
    
  • Watch Tests
    npm run test-watch
    

License

CSVtoJSON is licensed under the GNU General Public License v3.0 License.

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  • BTC tip address: 3KCCK292a61AHrKuVCFZ8Agr3j31Zw8Mzg

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