Business
Jobs
  • About Us
  • Solutions
    • Job Postings
      Post your job and receive qualified candidates in 48h.
    • Candidate Assessments
      500+ technical and psychological tests, plus anti-fraud.
    • Headhunting
      Tailor-made executive search from start to finish.
    • Payroll + EOR
      Payroll dispersal and EOR across 15+ LATAM countries.
  • Pricing
  • Jobs

0

152
Views
How to build/transform an object from a previous object

I'm trying to create an object in a certain structure from data that I have. From:

// example #1
const dataGender = {"male": 30, "female": 70}

// example #2
const dataFruits = {"apple": 10, "banana": 20, "strawberry": 200}

to:

const resultGender = {
    "data": [
        {
            "value": 30, "label": { "en": "male"}
        },
        {
            "value": 70, "label": { "en": "female"}
        }
    ]
}

const resultFruits = {
    "data": [
        {
            "value": 30, "label": { "en": "apple"}
        },
        {
            "value": 20, "label": { "en": "banana"}
        },
        {
            "value": 200, "label": { "en": "strawberry"}
        }
    ]
}

In other words, a function that accepts dataGender and returns resultGender, and likewise for dataFruits.

As can be seen above, the structure is consistent, and the only changes are to the values under keys "value" and "en".

I found ramda's objOf() which brings me close:

const R = require("ramda")

const buildObject = R.compose(
  R.objOf("data"),
  R.map(R.objOf("value"))
);
buildObject([30, 70]); // => {"data": [{"value": 30}, {"value": 70}]}

But I'm still missing how to build the textual part under "en".

about 4 years ago · Juan Pablo Isaza
1 answers
Answer question

0

Convert the object to pairs of [key, value], and map them to a new object using R.applySpec. Use R.nth to take the key or value from the pair. Use R.objOf to nest the array under data.

const { pipe, toPairs, map, applySpec, nth, objOf } = R

const fn = pipe(
  toPairs,
  map(applySpec({
    value: nth(1),
    label: {
      en: nth(0)
    }
  })),
  objOf('data')
)

// example #1
const dataGender = {"male": 30, "female": 70}

// example #2
const dataFruits = {"apple": 10, "banana": 20, "strawberry": 200}

console.log(fn(dataGender))
console.log(fn(dataFruits))
.as-console-wrapper {max-height: 100% !important; top: 0}
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js" integrity="sha512-t0vPcE8ynwIFovsylwUuLPIbdhDj6fav2prN9fEu/VYBupsmrmk9x43Hvnt+Mgn2h5YPSJOk7PMo9zIeGedD1A==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

The main behavior is taking an object, converting it pairs, and then applying a spec to each pair. We can extract this to a function (mapSpec), and then build are specific function with it:

const { curry, map, toPairs, applySpec, pipe, nth, objOf } = R

const mapSpec = curry((spec, obj) => map(
  applySpec(spec),
  toPairs(obj)
))

const fn = pipe(
  mapSpec({
    value: nth(1),
    label: {
      en: nth(0)
    }
  }), 
  objOf('data')
)

// example #1
const dataGender = {"male": 30, "female": 70}

// example #2
const dataFruits = {"apple": 10, "banana": 20, "strawberry": 200}

console.log(fn(dataGender))
console.log(fn(dataFruits))
.as-console-wrapper {max-height: 100% !important; top: 0}
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js" integrity="sha512-t0vPcE8ynwIFovsylwUuLPIbdhDj6fav2prN9fEu/VYBupsmrmk9x43Hvnt+Mgn2h5YPSJOk7PMo9zIeGedD1A==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

about 4 years ago · Juan Pablo Isaza Report
Answer question
Find remote jobs

Discover the new way to find a job!

Top jobs
Top job categories
Business
Post vacancy Pricing Sales
Legal
Terms and conditions Privacy policy
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Show me some job opportunities
There's an error!