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I need to convert a large CSV data set to JSON, however the output should be a JSON dictionary like this:
var products = {
"crystal": {
"description": "This is a crystal",
"price": "2.95"
},
"emerald": {
"description": "This is a emerald",
"price": "5.95"
}
};
This is what the CSV table would look like:
I am using a script referenced here to generate the JSON:
var csv = require('csv')
var fs = require('fs')
var f = fs.createReadStream('Fielding.csv')
var w = fs.createWriteStream('out.txt')
w.write('[');
csv()
.from.stream(f, {columns:true})
.transform(function(row, index) {
return (index === 0 ? '' : ',\n') + JSON.stringify(row);
})
.to.stream(w, {columns: true, end: false})
.on('end', function() {
w.write(']');
w.end();
});
However the output from that script is created in this format:
[
{
"name": "crystal",
"description": "This is a crystal",
"price": "2.95"
},
{
"name": "emerald",
"description": "This is a emerald",
"price": "5.95"
}
]
How would I modify the script to get my desired "dictionary" format?
I need to convert a large CSV data set to JSON, however the output should be a JSON dictionary like this:
var products = {
"crystal": {
"description": "This is a crystal",
"price": "2.95"
},
"emerald": {
"description": "This is a emerald",
"price": "5.95"
}
};
This is what the CSV table would look like:
I am using a script referenced here to generate the JSON:
var csv = require('csv')
var fs = require('fs')
var f = fs.createReadStream('Fielding.csv')
var w = fs.createWriteStream('out.txt')
w.write('[');
csv()
.from.stream(f, {columns:true})
.transform(function(row, index) {
return (index === 0 ? '' : ',\n') + JSON.stringify(row);
})
.to.stream(w, {columns: true, end: false})
.on('end', function() {
w.write(']');
w.end();
});
However the output from that script is created in this format:
[
{
"name": "crystal",
"description": "This is a crystal",
"price": "2.95"
},
{
"name": "emerald",
"description": "This is a emerald",
"price": "5.95"
}
]
How would I modify the script to get my desired "dictionary" format?
Share Improve this question edited May 23, 2017 at 11:53 CommunityBot 11 silver badge asked Oct 28, 2015 at 21:01 docta_faustusdocta_faustus 2,8695 gold badges32 silver badges51 bronze badges 5- 3 Not sure how you even ended up with that structure since columns, and thus property names, are normally the same – charlietfl Commented Oct 28, 2015 at 21:08
- 1 Please edit your question to include a sample of the actual CSV data you're working with. – Jordan Running Commented Oct 28, 2015 at 21:08
-
Is there some kind of pattern in the names of the product, like
productX
where X is a number, or is it pretty random ? – John Pink Commented Oct 28, 2015 at 21:10 - Sorry - edited. Essentially the "name" column would go away and the name value bees the name of the object. – docta_faustus Commented Oct 28, 2015 at 21:14
-
1
just iterate array and pass
item.name
as property key in new object – charlietfl Commented Oct 28, 2015 at 21:15
5 Answers
Reset to default 2All you need to do is loop over the array and use item.name
as key for your dictionary object
var products ={};
data.forEach(function(item){
products[item.name] = item;
});
This will leave the name
property in the item but that shouldn't be an issue
I found csv parser library most useful:
var csvText=`status,path,name,ext,checksum,size,document_service_id,document_service_path,message
success,./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE1.txt,expE1.txt,txt,38441337865069eabae7754b29bb43e1,414984,8269f7e3-3221-49bb-bb5a-5796cf208fd1,/neuroinftest/20170215/expE1.txt,
success,./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE10.txt,expE10.txt,txt,f27e46979035706eb0aaf58c26e09585,368573,2c94ed19-29c9-4660-83cf-c2148c3d6f61,/neuroinftest/20170215/expE10.txt,
success,./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE2.txt,expE2.txt,txt,e1040d9546423c823944120de0e5c46c,333308,b3898f5d-1058-4cf3-acf9-76759117b810,/neuroinftest/20170215/expE2.txt,
`
var csv = require('csv');
csv.parse(csvText, {columns: true}, function(err, data){
console.log(JSON.stringify(data, null, 2));
});
In variable csvText
I have my ma-separated file, with the first line serving as a header. I use the parse
function and I'm passing the {columns: true}
to indicated that the first line has the headers. Second parameter in the callback function (data
) has the object with keys being the headers and the values being the corresponding csv cells. I use JSON.stringify
to print it nicely and the result object looks like this (it puts it into an array):
[
{
"status": "success",
"path": "./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE1.txt",
"name": "expE1.txt",
"ext": "txt",
"checksum": "38441337865069eabae7754b29bb43e1",
"size": "414984",
"document_service_id": "8269f7e3-3221-49bb-bb5a-5796cf208fd1",
"document_service_path": "/neuroinftest/20170215/expE1.txt",
"message": ""
},
{
"status": "success",
"path": "./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE10.txt",
"name": "expE10.txt",
"ext": "txt",
"checksum": "f27e46979035706eb0aaf58c26e09585",
"size": "368573",
"document_service_id": "2c94ed19-29c9-4660-83cf-c2148c3d6f61",
"document_service_path": "/neuroinftest/20170215/expE10.txt",
"message": ""
},
{
"status": "success",
"path": "./15-02-2017_17-11/d77c7886-ffe9-40f2-b2fe-e68410d07891//expE2.txt",
"name": "expE2.txt",
"ext": "txt",
"checksum": "e1040d9546423c823944120de0e5c46c",
"size": "333308",
"document_service_id": "b3898f5d-1058-4cf3-acf9-76759117b810",
"document_service_path": "/neuroinftest/20170215/expE2.txt",
"message": ""
}
]
UPD: This array can easily be turned into the object you need with reduce
:
var res_obj = data.reduce(function(acc, cur, i) {
acc[cur.name] = cur;
return acc;
}, {});
In my case I use the name property as a key. Make sure it's unique.
I think something like this would work :
var products_arr = [{"name":"crystal","description":"This is a crystal","price":"2.95"},
{"name":"emerald","description":"This is a emerald","price":"5.95"}]
var products = {};
for (var i = 0, l = products_arr.length ; i < l ; ++i) {
var x = products_arr[i];
var name = x.name
delete x.name; // deletes name property from JSON object
products[name] = x;
}
This will output :
{
"crystal": {
"description": "This is a crystal",
"price": "2.95"
},
"emerald": {
"description": "This is a emerald",
"price": "5.95"
}
}
If you would like to modify your specific code, you could change the line
return (index === 0 ? '' : ',\n') + JSON.stringify(row);
to
var clonedRow = JSON.parse(JSON.stringify(row));
var key = clonedRow['name'];
delete clonedRow['name'];
var newRow = {};
newRow[key] = clonedRow;
return (index === 0 ? '' : ',\n') + JSON.stringify(newRow);
This creates a new object for each row, modifying the structure according to your requirement.
Your best bet is to use PapaParse, a powerful csv parser/dumper. It supports streams, various string encodings, header row, and it's fast.
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