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A collection of helpers to operate on nested maps. See README for the complete list of helpers. The test suite is also helpful.

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# Digger
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## Description
Digger is a collection of helpers to help you operate on nested maps (it will also work on non-nested maps). Elixir gives you a great collection of map methods, but sometimes I find myself having to rewrite the same operations specifically for nested maps.
This library is intended to help your code stay [DRY](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself).
## Possible Future Work
This library is a work in progress. I'm thinking about extending it to lists and/or tuples.
## Here is a list of helper methods Digger gives you:
## 1 - Digger.atomize/2
### The Problem
You have a valid data type that needs to be "atomized" This can be a string, number, or nested map with string keys.
### The Solution
Digger.atomize/2 drills down into a nested map and converts (most) keys which are not atoms into atoms.
### Safe atomize with `existing: true`
By default, `Digger.atomize/2` creates a new atom for every string it doesn't
already have an atom for. Atoms are never garbage collected, so calling
`atomize` on untrusted/external input (e.g. a JSON payload from a client) can
exhaust the atom table over time.
Pass `existing: true` to only atomize strings that already have a matching
atom, and leave anything else as the original string:
```elixir
Digger.atomize(%{"ok" => 1, "some_string_with_no_atom" => 2}, existing: true)
# => %{ok: 1, "some_string_with_no_atom" => 2}
```
## 2 - Digger.stringify/2
### The Problem
You have a nested map (or a struct that you converted to a nested map) with keys that are atoms and you want to convert those keys to strings.
You have a valid data type that needs to be "stringified" This can be an atom, number, or nested map with atom keys.
### The Solution
Digger.stringify/2 drills down into a nested map and converts (most) keys which are not strings into strings.
## 3 - Digger.camel_case/2
### The Problem
You have a valid data type that needs to be camel-cased. This can be an atom, string, or nested map (or a struct that you converted to a nested map) with string or atom keys.
### The Solution
Digger.camel_case/2 "camel cases" your valid data type according to the rules defined by its protocol.
## 4 - Digger.snake_case/2
### The Problem
You have a valid data type that needs to be snake-cased. This can be an atom, string, or nested map (or a struct that you converted to a nested map) with string or atom keys.
### The Solution
Digger.snake_case/2 "snake cases" your valid data type according to the rules defined by its protocol.
## 5 - Digger.dasher/2
### The Problem
You have a valid data type that needs the underscores transformed to dashes. This can be a string, or nested map (or a struct that you converted to a nested map) with string keys.
### The Solution
Digger.dasher/2 "dasherizes" your valid data type according to the rules defined by its protocol.
## 6 - Digger.lowercase_first/2
### The Problem
You have a valid data type that needs the first letter to be lowercase. This can be a string or atom or nested map with string or atom keys.
### The Solution
Digger.lowercase_first/2 "lowercases" your valid data type according to the rules defined by its protocol.
## 7 - Digger.upcase_first/2
### The Problem
You have a valid data type that needs the first letter to be upper case. This can be a string or atom or nested map with string or atom keys.
### The Solution
Digger.upcase_first/2 "upcases" your valid data type according to the rules defined by its protocol.
## Questions?
The tests in the test folder show you the data types that are handled. The protocol implementations in lib/impl also show you the various data types are handled.
## Installation
If [available in Hex](https://hex.pm/docs/publish), the package can be installed
by adding `digger` to your list of dependencies in `mix.exs`:
```elixir
def deps do
[
{:digger, "~> 3.0.0"}
]
end
```
Documentation can be generated with [ExDoc](https://github.com/elixir-lang/ex_doc)
and published on [HexDocs](https://hexdocs.pm). Once published, the docs can
be found at <https://hexdocs.pm/digger>.