Cinnamon

Cinnamon is a simple framework for general-purpose configuration and code logic de-coupling. It was developed to offer two main functionalities:

De-coupling a code logic from its regulating parameters

Re-use of code logic without effort

Features

General-purpose

cinnamon is meant to simplify your code organization for better re-use.

Simple

cinnamon is a small library that acts as a high-level wrapper for your projects.

Community-based

cinnamon components and configurations can be imported from project!

Flexible

cinnamon imposes minimal APIs for a quick learning curve and keeps freedom of coding.

Documentation

Check the online documentation of cinnamon for more information.

Projects

The following projects have been developed with cinnamon

• cinnamon-examples

Motivation

We describe a simple example to motivate cinnamon.

Traditional approach

Consider a code logic that has to load some data.

   class DataLoader:

      def load(...):
          data = read_from_file(folder_name=self.folder_name)
          return data

The data loader reads from a file located according to self.folder_name value.

If self.folder_name has multiple values, we can use the same code logic to load data from different folders.

Hypothetically, we would define multiple data loaders:

   data_loader_1 = DataLoader(folder_name='*folder_name1*')
   data_loader_2 = DataLoader(folder_name='*folder_name2*')
   ...

Now, if the data loader code block is used in a project, we require some code modularity to avoid defining several versions of the same script. One common solution is to rely on configuration files (e.g., JSON file).

   {
      'data_loader' : {
         'folder_name': '*folder_name1*'
      }
   }

The main script is modified to load our configuration file so that each code logic is properly initialized.

Cinnamon

Cinnamon keeps this <configuration, code logic> dichotomy where a configuration is written in plain Python code!

from cinnamon.configuration import Configuration

class DataLoaderConfig(Configuration):

    @classmethod
    def default(cls):
        config = super().default()

        config.add(name='folder_name',
                   type_hint=str,
                   variants=['*folder_name1*', '*folder_name2*', ...],
                   description="Base folder name from which to look for data files.")
        return config

Cinnamon allows high-level configuration definition (constraints, type-checking, description, variants, etc...)

To quickly load any instance of our data loader, we

Register

Register the configuration via a registration key as <name, tags, namespace> tuple.

      Registry.register_configuration(config_class=DataLoaderConfig,
                                      component_class=DataLoader,
                                      name='data_loader',
                                      tags={'example'},
                                      namespace='showcase')

Build

Build the DataLoader via the used registration key

   data_loader = DataLoader.build_component(name='data_loader',
                                            tags={'example'},
                                            namespace='showcase')
   variant_loader = DataLoader.build_component(name='data_loader',
                                               tags={'example', 'folder_name=*folder_name1*'},
                                               namespace='showcase')

That's it! This is all of you need to use cinnamon.

You are still free to code as you like!

Install

pip

  pip install cinnamon-core

git

  git clone https://github.com/nlp-unibo/cinnamon

Contribute

Want to contribute with new Component and Configuration?

Write your content and release it in a Github repository. That's all!

Cinnamon is meant to be a community project :)

Contact

Don't hesitate to contact:

• Federico Ruggeri @ federico.ruggeri6@unibo.it

for questions/doubts/issues!