benonymus

benonymus

Merging maps in list based on matching value

Hey I have a list of maps, and those maps are items such:

[
%purchase{
    amount: #Decimal<2.0>,
    command: "buy",
    id: 71,
    price: #Decimal<90.394>,
  },
%purchase{
    amount: #Decimal<1.0>,
    command: "buy",
    id: 72,
    price: #Decimal<90.394>,
  }
]

As you can see the prices are the same but the amount isn’t how would you go through the list to merge the items with the same price to get something like this:

[
%purchase{
    amount: #Decimal<3.0>,
    command: "buy",
    price: #Decimal<90.394>,
  }
]

Marked As Solved

benonymus

benonymus

Hey, I came up with 2 solutions so far:

for order <- buy do
      Enum.reduce(
        buy,
        order,
        fn x, y ->
          cond do
            Decimal.cmp(x.price, y.price) == :eq and x.id != y.id ->
              new_amount = Decimal.add(x.amount, y.amount)
              Map.put(y, :amount, new_amount)

            true ->
              y
          end
        end
      )
    end
    |> Enum.uniq_by(fn x -> x.price end)

and

    for order <- buy do
      Enum.map(buy, fn x ->
        cond do
          Decimal.cmp(x.price, order.price) == :eq and x.id != order.id ->
            new_amount = Decimal.add(x.amount, order.amount)
            Map.put(order, :amount, new_amount)

          true ->
            order
        end
      end)
    end
    |> List.flatten()
    |> Enum.uniq_by(fn x -> x.price end)

But I am having a hard time deciding which one to stick with :confounded:
Edit:
I decided to stick with the reduce version, so I don’t need to flatten a list

Also Liked

dimitarvp

dimitarvp

Needlessly verbose IMO. Here’s how I went about it:

defmodule Stock do
  def aggregate_by_price(items) do
    items
    |> Enum.group_by(&(Decimal.reduce(&1.price)))
    |> Enum.map(fn({_price, items}) ->
      Enum.reduce(items, fn(acc, item) ->
        %{acc | amount: Decimal.add(acc.amount, item.amount)}
      end)
    end)
  end
end

Then in iex:

items = [
  %{price: Decimal.from_float(90.394), amount: Decimal.from_float(2.0)},
  %{price: Decimal.from_float(90.394), amount: Decimal.from_float(1.0)},
  %{price: Decimal.from_float(17.64738), amount: Decimal.from_float(10.0)},
  %{price: Decimal.from_float(90.394), amount: Decimal.from_float(5.0)},
  %{price: Decimal.from_float(17.64738), amount: Decimal.from_float(13.0)}
]

Stock.aggregate_by_price(items)

This returns:

[
  %{amount: #Decimal<8.0>, price: #Decimal<90.394>},
  %{amount: #Decimal<23.0>, price: #Decimal<17.64738>}
]

Which seems to be what you need.

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