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hash_mapper

DESCRIPTION:

Maps values from hashes with different structures and/or key names. Ideal for normalizing arbitrary data to be consumed by your applications, or to prepare your data for different display formats (ie. json).

Tiny module that allows you to easily adapt from one hash structure to another with a simple declarative DSL.

FEATURES/PROBLEMS:

It is a module so it doesn't get in the way of your inheritance tree.

SYNOPSIS:

class ManyLevels
  extend HashMapper
  map from('/name'),            to('/tag_attributes/name')
  map from('/properties/type'), to('/tag_attributes/type')
  map from('/tagid'),           to('/tag_id')
  map from('/properties/egg'),  to('/chicken')
end

input = 	{
  :name => 'ismael',
  :tagid => 1,
  :properties => {
    :type => 'BLAH',
    :egg => 33
  }
}

ManyLevels.normalize(input)

# outputs:
	{
  :tag_id => 1,
  :chicken => 33,
  :tag_attributes => {
    :name => 'ismael',
    :type => 'BLAH'
  }
}

Uses:

HashMapper was primarily written as a way of mapping data structure in json requests to hashes with structures friendlier to our ActiveRecord models:

@article = Article.create( ArticleParams.normalize(params[:weird_article_data]) )

You can use HashMapper in your own little hash-like objects:

class NiceHash
  include Enumerable
  extend HashMapper

  map from('/names/first'), to('/first_name')
  map from('/names/last'), to('/last_name')

  def initialize(input_hash)
    @hash = self.class.normalize(input_hash)
  end

  def [](k)
    @hash[k]
  end

  def []=(k,v)
    @hash[k] = v
  end

  def each(&block)
    @hash.each(&block)
  end
end

@user = User.new(NiceHash.new(params))

Options:

Coercing values

You want to make sure an incoming value gets converted to a certain type, so

{'one' => '1', 'two' => '2'}

gets translated to

{:one => 1, :two => 2}

Do this:

map from('/one'), to('/one', &:to_i)
map from('/two'), to('/two', &:to_i)

You can pass :to_i, :to_s or anything available method that makes sense. Don't forget the block notation (&).

You guessed it. That means that you can actually pass custom blocks to each to() definition as well. The following is similar to the previous example:

map from('/one'), to('/one'){|value| value.to_i}

Default values

You want to make sure that a value is present in the output (even if it's not in the input) so that:

{'one' => '1'}

gets translated to

{:one => 1, :two => 2}

Do this:

map from('/two'), to('/two'), default: 2

Custom value filtering

You want to pass the final value of a key through a custom filter:

{:names => {:first => 'Ismael', :last => 'Celis'}} gets translated to {:user => 'Mr. Celis, Ismael'}

Do this:

map from('/names'), to('/user') do |names|
  "Mr. #{names[:last]}, #{names[:first]}"
end

Mapping in reverse

Cool, you can map one hash into another, but what if I want the opposite operation?

Just use the denormalize() method instead:

input = {:first => 'Mark', :last => 'Evans'}

output = NameMapper.normalize(input) # => {:first_name => 'Mark', :last_name => 'Evans'}

NameMapper.denormalize(output) # => input

This will work with your block filters and even nested mappers (see below).

Advanced usage

Array access

You want:

{:names => ['Ismael', 'Celis']}

converted to

{:first_name => 'Ismael', :last_name => 'Celis'}

Do this:

map from('/names[0]'), to('/first_name')
map from('/names[1]'), to('/last_name')

Nested mappers

You want to map nested structures delegating to different mappers:

From this:

input = {
	:project 		=> 'HashMapper',
	:url			=> 'http://github.com/ismasan/hash_mapper',
	:author_names	=> {:first => 'Ismael', :last => 'Celis'}
}

To this:

output = {
	:project_name	=> 'HashMapper',
	:url			=> 'http://github.com/ismasan/hash_mapper',
	:author			=> {:first_name => 'Ismael', :last_name => 'Celis'}
}

Define an UserMapper separate from your ProjectMapper, so you reuse them combined or standalone

class UserMapper
  extend HashMapper
  map from('/first'),	to('/first_name')
  map from('/last'),		to('/lastt_name')
end

class ProjectMapper
  extend HashMapper
  map from('/project'), 		to('/project_name')
  map from('/url'),			to('/url')
  map from('/author_names'),	to('/author'), using: UserMapper
end

Now ProjectMapper will delegate parsing of :author_names to UserMapper

ProjectMapper.normalize( input ) # => output

Let's say you have a CompanyMapper which maps a hash with an array of employees, and you want to reuse UserMapper to map each employee. You could:

class CompanyMapper
  map from('/info/name'), 			to('/company_name')
  map form('/info/address'),			to('/company_address')
  map from('/info/year_founded'),	to('year_founded', :to_i)

  map from('/employees'),			to('employees') do |employees_array|
    employees_array.collect {|emp_hash| UserMapper.normalize(emp_hash)}
  end
end

But HashMapper's nested mappers will actually do that for you if a value is an array, so:

map from('/employees'),	to('employees'), using: UserMapper

... Will map each employee using UserMapper.

Before and after filters

Sometimes you will need some slightly more complex processing on the whole hash, either before or after normalizing/denormalizing.

For this you can use the class methods before_normalize, before_denormalize, after_normalize and after_denormalize.

They all yield a block with 2 arguments - the hash you are mapping from and the hash you are mapping to, e.g.

class EggMapper
  map from('/raw'), to('/fried')

  before_normalize do |input, output|
    input['raw'] ||= 'please'     # this will give 'raw' a default value
    input
  end

  after_denormalize do |input, output|
    output.to_a        # the denormalized object will now be an array, not a hash!!
  end

end

Important: note that for before filters, you need to return the (modified) input, and for after filters, you need to return the output. Note also that 'output' is correct at the time of the filter, i.e. before_normalize yields 'output' as an empty hash, while after_normalize yields it as an already normalized hash.

It is possible to define multiple filters of a given type. These are run in the order in which they are defined. A common use case might be to define a before_normalize filter in a parent class and a child class. The output from the previous invocation of the filter is passed as the input of the next invocation.

You can pass one extra argument to before and after filters if you need to:

class EggMapper
  map from('/raw'), to('/fried')

  before_normalize do |input, output, opts|
    input['raw'] ||= 'please' unless opts[:no_default] # this will give 'raw' a default value
    input
  end

  after_denormalize do |input, output, opts|
    output.to_a        # the denormalized object will now be an array, not a hash!!
  end

end

EggMapper.normalize({}, options: { no_default: true })
EggMapper.denormalize({fried: 4})

Importing mappings from another mapper

Use .import_mapper(another_mapper) to import mappings from another mapper. This is useful when you want to reuse mappings from another mapper.

class Mapper1
  extend HashMapper
  map from('/name'), to('/name')
end

class Mapper2
  extend HashMapper
  import_mapper Mapper1
  map from('/age'), to('/age')
end

# Mapper2 will have mappings from Mapper1 ('/name' => '/name') and its own mappings ('/age' => '/age')

REQUIREMENTS:

TODO:

Optimizations

  • Get rid of ActiveSupport (used for inherited class variables and HashWithIndifferentAccess)

INSTALL:

gem install hash_mapper

Credits:

LICENSE:

(The MIT License)

Copyright (c) 2009 Ismael Celis

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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DSL for mapping between data structures

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