Utilizing Ramda to organize a normalized model object by key involves converting it to key|value pairs (similar to Object.entries) and sorting by the first value using R.head (which represents the key when in pairs)
The goal is to transform the resulting sorted array of pairs into an array of objects. In the code snippet below, ES6+ map and array destructuring are used for this purpose
const data = {
2: {name: 'two'},
1: {name: 'one'}
}
const sortByKey = R.compose(R.sortBy(R.head), R.toPairs);
const sortedPairs = sortByKey(data)
console.log(sortedPairs)
// [["1",{"name":"one"}],["2",{"name":"two"}]]
const objs = sortedPairs.map(([key, value]) => {
return {[key]: value}
})
console.log(objs)
// [{"1":{"name":"one"}},{"2":{"name":"two"}}]
The challenge lies in finding a suitable Ramda function for the following task:
const objs = sortedPairs.map(([key, value]) => {
return {[key]: value}
})