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csvjson

(★ 59)

csv to json

파일 탐색기

최종 버전 다운로드 (.zip)

- app.js
- helper.js
- stream.js
- - jsoncsv.json
  - qoutecsv.csv
  - qoutecsv.js
  - sample.csv
  - schema_sample.csv
  - schema_sample1.csv
  - schema_sample2.csv
- main.test.js
.gitignore
.travis.yml
index.js
MIT-LICENSE
package.json
README.md

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/pradeep-mishra/csvjson

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd csvjson

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Node.js

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Node.js npm 명령어를 쓰려면 Node.js가 설치되어 있어야 합니다. LTS(장기지원) 버전을 추천합니다.

npm install

package.json에 명시된 라이브러리들을 내려받아 설치합니다.

npm start

개발/실행 서버를 켭니다.

✅ 명령어 실행 후 터미널에 나타나는 주소(보통 http://localhost:3000 형태)를 브라우저에서 열어보세요.

// repository documentation

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csvjson
=================

Simple CSV to JSON and JSON to CSV converter with stream support
-----------------------------------------
for Node.js and Browser.
-------------------------------------

&copy; Pradeep Mishra, Licensed under the MIT-LICENSE

Features
--------

* CSV to JSON object
* CSV to schema JSON object
* CSV to array object
* CSV to column array object
* JSON object to CSV
* JSON array to CSV
* Stream support

Example usage
-------------

```javascript
var csvjson = require('csvjson');

/*
    sample.csv

sr,name,age,gender
    1,rocky,33,male
    2,jacky,22,male
    3,suzy,21,female

*/

/*
    schema_sample.csv

created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[],contact.hobbies[],-id
    2014-11-12,Pradeep,25,4352436,MG Road,Mumbai,pc games,guitar,5
    2014-10-06,Arnav,16,7364537,KB Road,Mumbai,pc games,traveling,7

*/

/*
schema_sample2.csv

name,age,contacts[0].name,contacts[0].phone,contacts[1].name,contacts[1].phone,musician,instruments.past,instruments.current[],instruments.current[]
Mark,33,Jim Palmer,8888888888,Marcus Aurelius,7309899877,Yes,Guitar,Drums,Bass Guitar
Jeff,27,John Doe,8009008000,Michael Corleone,2121001000,Yes,Drums,Flute,Trumpet

*/

/*
jsoncsv.json

{
 "book": {
   "person": [
     {
       "firstName": "Jane",
       "lastName": "Doe",
       "age": "25",
       "address": {
         "streetAddress": "21 2nd Street",
         "city": "Las Vegas",
         "state": "NV",
         "postalCode": "10021-3100"
       },
       "hobbies" : ["gaming", "volleyball"]
     },
     {
       "firstName": "Agatha",
       "lastName": "Doe",
       "age": "25",
       "address": {
         "streetAddress": "21 2nd Street",
         "city": "Las Vegas",
         "state": "NV",
         "postalCode": "10021-3100"
       },
       "hobbies" : ["dancing", "politics"]
     }
   ]
 }
}

*/

```

convert csv data to json object
----------------------------------------
```javascript
var data = fs.readFileSync(path.join(__dirname, 'schema_sample2.csv'), { encoding : 'utf8'});
/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};
// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "sr,name,age,gender"
  };
*/

csvjson.toObject(data, options);

/*
    returns

[
        {
            sr : 1,
            name : "rocky",
            age : 33,
            gender : "male"
        },
        {
            sr : 2,
            name : "jacky",
            age : 22,
            gender : "male"
        },
        {
            sr : 3,
            name : "suzy",
            age : 21,
            gender : "female"
        }

]

*/

```
convert csv data to schema json object
-----------------------------------------------
```javascript

/*
    for creating schema of json object following key can be used in header of csv file:

.   for defining nested json object
    []  for defining data as array (suffix)
        -- can add delimiter in the array (i.e. [;] for delimiter of ;)
        -- can nest objects in the array, index must be listed (i.e. [1] for index 1)
    +   for defining data as integer (suffix)
    -   for omitting data from result output (prefix)

*/

/*
    schema_sample.csv

created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[;],-id,friends[0].name,friends[0].phone,friends[1].name,friends[1].phone
    2014-11-12,Pradeep,25,4352436,MG Road,Mumbai,pc games; guitar,5,Jeff,8761234567,Mike,1234567890
    2014-10-06,Arnav,16,7364537,KB Road,Mumbai,pc games; traveling,7,Steve,555555555,Pradeep,4352436

*/

var data = fs.readFileSync(path.join(__dirname, 'schema_sample.csv'), { encoding : 'utf8'});
/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[;],-id,friends[0].name,friends[0].phone,friends[1].name,friends[1].phone"
  };
*/

csvjson.toSchemaObject(data, options)

/*
    returns

[
        {
            "created":"2014-11-12",
            "contact":{
                "name":"Pradeep","
                age":25,
                "number":4352436,
                "hobbies":["pc games","guitar"]

},
            "address":["MG Road","Mumbai"],
            "friends":[
                {
                    "name": "Jeff",
                    "phone": "8761234567"
                },
                {
                    "name": "Mike",
                    "phone": "1234567890"
                }
            ]
        },
        {
            "created":"2014-10-06",
            "contact":{"
                name":"Arnav",
                "age":16,
                "number":7364537,
                "hobbies":["pc games","traveling"]

},
            "address":["KB Road","Mumbai"],
            "friends":[
                {
                    "name": "Steve",
                    "phone": "5555555555"
                },
                {
                    "name": "Pradeep",
                    "phone": "4352436"
                }
            ]
        }

]

*/

```
convert csv data to array object
-----------------------------------------
```javascript

var data = fs.readFileSync(path.join(__dirname, 'sample.csv'), { encoding : 'utf8'});

/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

csvjson.toArray(data, options);

/*
    returns
    [
        ["sr","name","age","gender"],
        ["1","rocky","33","male"],
        ["2","jacky","22","male"],
        ["3","suzy","21","female"]
    ]

*/

```
convert csv data to column array object
---------------------------------------
```javascript

var data = fs.readFileSync(path.join(__dirname, 'sample.csv'), { encoding : 'utf8'});

/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "sr,name,age,gender"
  };
*/

csvjson.toColumnArray(data, options);

/*
    returns

{
        sr: [ '1', '2', '3' ],
        name: [ 'rocky', 'jacky', 'suzy' ],
        age: [ '33', '22', '21' ],
        gender: [ 'male', 'male', 'female' ]
    }

*/

```
convert json object to csv data
-------------------------------
```javascript

var data = fs.readFileSync(path.join(__dirname, 'jsoncsv.json'), { encoding : 'utf8'});
var options = {
    delimiter   : ",",
    wrap        : false
}

/* supported options

delimiter = <String> optional default value is ","
    wrap  = <String|Boolean> optional default value is false
    headers = <String> optional supported values are "full", "none", "relative", "key"
    objectDenote = <String> optional default value is "."
    arrayDenote = <String> optional default value is "[]"
*/

csvjson.toCSV(data, options);

/*
returns

book.person[].firstName,book.person[].lastName,book.person[].age,book.person[].address.streetAddress,book.person[].address.city,book.person[].address.state,book.person[].address.postalCode,book.person[].hobbies[]
Jane,Doe,25,21 2nd Street,Las Vegas,NV,10021-3100,gaming;volleyball
Agatha,Doe,25,21 2nd Street,Las Vegas,NV,10021-3100,dancing;politics

*/
```
convert csv to json using stream
-----------------------------------------
```javascript

var read = fs.createReadStream(path.join(__dirname, 'sample.csv'));
var write = fs.createWriteStream(path.join(__dirname, 'sample.json'));
var toObject = csvjson.stream.toObject();
var stringify = csvjson.stream.stringify();
read.pipe(toObject).pipe(stringify).pipe(write);

/*
following functions available for stream transformation
csvjson.stream.toObject()
csvjson.stream.toArray()
csvjson.stream.toColumnArray()
csvjson.stream.toSchemaObject()
*/

/*
csvjson.stream.stringify([space<number>])
stringify function accepts optional space parameter to format output
*/

```
```bash
npm install csvjson --save
```