I have an array like this:
[{
id: 1,
amount: 10,
date: '21/01/2017'
},{
id: 1,
amount: 10,
date: '21/01/2017'
},{
id: 1,
amount: 30,
date: '22/01/2017'
},{
id: 2,
amount: 10,
date: '21/01/2017'
},]
And I would like this to output like:
{
'21/01/2017': {
1: {
amount: 20
},
2: {
amount: 10
}
},
'22/01/2017': {
1: {
amount: 30
}
}
}
Essentially grouping by data, nested grouping by id, whilst summing the relevant amounts.
So far I have tried using reduce, and have looked at lodash functions but have been unsuccessful. Reduce makes it easy to group by and sum by one prop, but I cannot find an elegant way to create the second level. I have created the a sandbox to demonstrate:
https://codesandbox.io/s/woj9xz6nq5
const dataToConsolidate = [{
id: 1,
amount: 10,
date: '21/01/2017'
}, {
id: 1,
amount: 10,
date: '21/01/2017'
}, {
id: 1,
amount: 30,
date: '22/01/2017'
}, {
id: 2,
amount: 10,
date: '21/01/2017'
},]
export const consolidate = (data) => {
const result = data.reduce(function (res, obj) {
(!(obj.date in res)) ?
res.__array.push(res[obj.date] = obj) :
res[obj.date].amount += obj.amount;
return res;
}, { __array: [] });
return result;
};
console.log(consolidate(dataToConsolidate))Answer
Here’s a relatively ES6-y solution using reduce:
const initial = [{ id: 1, amount: 10, date: '21/01/2017' }, { id: 1, amount: 10, date: '21/01/2017' }, { id: 1, amount: 30, date: '22/01/2017' }, { id: 2, amount: 10, date: '21/01/2017' }];
const parse = obj => obj.reduce((final, { date, id, amount }) => {
let group = final[date] = final[date] || {};
group[id] = group[id] || { amount: 0 };
group[id].amount += amount;
return final;
}, {});
const final = parse(initial);
console.log(final);You’ll want to add appropriate logic to handle missing/erroneous date, id, or amount keys.