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Pipeline is a gem that enables you to build operations
to transform data from one state to another using pipelines
This is based on the chain-of-responsibility pattern
Add this line to your application's Gemfile:
gem 'data-pipeline'
And then execute:
$ bundle
Or install it yourself as:
$ gem install data-pipeline
Load the pipeline gem into your project:
require 'pipeline'
Before we can create a pipeline, we need operation objects for processing the data.
Start by creating a simple Operation
object by inheriting from Pipeline::Operation
class:
class HelloWorld < Pipeline::Operation
def call(env)
# env is the data passed in from the pipeline
# do your data processing here ...
"Hello, #{env}"
super
end
end
The example HelloWorld
operation appends 'Hello'
to every string passed in.
Next, we need to create a pipeline
. Within a pipeline, we can chain multiple operations to transform the data into the desired state.
Suppose we create a HelloWorld
pipeline to use the HelloWorld
operation, we can do it as follows:
Pipeline::Builder.new do |b|
b.use HelloWorld
end.call('World')
The above will return 'Hello World'
We can also add operation classes as procs. From the above example, we can wrap the string in another by using an additional proc:
Pipeline::Builder.new do |b|
b.use HelloWorld
b.use ->(str) { "More processing: #{str}" }
end.call('World')
The above will return 'More processing: Hello World'
We can also pass additional data into the operation classes:
Pipeline::Builder.new do |b|
b.use HelloWorld, 'Additional args'
end.call('World')
Within the operation class we can access it using the data
attribute.
class HelloWorld < Pipeline::Operation
def call(env)
# env is the data passed in from the pipeline
# data is passed in to the operation #=> 'Additional args'
# ....
super
end
end
Operation classes have a very simple interface.
To create your own operation classes, you need to implement the following methods:
initialize(next_op, data=nil)
call(env)
initialize
takes 2 arguments: the next operation to call; and any optional data the operation accepts
call
performs the processing on the passed in data from the builder e.g. builder.call(mydata)
An example custom operation class:
class CustomOp
attr_reader :next_op, :data
def initialize(next_op, data=nil)
@next_op = next_op
@data = data
end
def call(env)
# Data processing here...
@next_op.call(env)
end
end
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/cheeyeo/pipeline. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the Pipeline project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.
FAQs
Unknown package
We found that data-pipeline demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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