DeeplyEnumerble and DataLeafWalker

Traverse and map values of deeply nested data structures: Provides a map_deeply/2 function for Maps and Lists and Keyword Lists.

Usage

DeeplyEnumerable.map_deeply( data, fn( value ) -> ...transform value... end )

Where data can ba a map, list or keyword list.

data = [1, 2, 3, {:a, 2}, {:b, 4}, %{ a: 2 } ]
DeeplyEnumerable.map_deeply map, &( &1 + 1 )

# yields
[2, 3, [a: 4, b: 5], %{c: 6, d: ['e']}]

What I use this for

I have to migrate ancient projects that use YAML-serialized in database columns. Unfortunately they are doubly UTF-8 encoded so I convert these deeply-nested maps into maps of the same structure with all values decoded into proper UTF-8.

Installation

If available in Hex, the package can be installed as:

1. Add data_leaf_walker to your list of dependencies in mix.exs:

   def deps do

    [{:data_leaf_walker, "~> 0.0.1"}]

   end