scribble 1.0.0

Allows for persistent storage of dictionary data

Overview

Scibble is a mechanism to store dictionary information to a persistent state. This allows the data to be easily retrieved and edited, making it a good option when trying to store settings data.

Note: Data saved within the ScribbleDictionary must be json serialisable.

An example of creating a persisten data block would be:

    import os
    import scribble
    
    
    # -- Instance a scribble dictionary. We can treat this exactly
    # -- as we treat a dictionary
    data = scribble.get('foobar')
    
    # -- Set some key/value pairs in the ScribbleDictionary
    data['option_a'] = True
    data['option_b'] = 123
    
    # -- Calling .save() will trigger the dictionary
    # -- to store its current state to a persistent state
    data.save()
    
    # -- We can see the location the data is saved to, and we can
    # -- see that it does indeed exist
    print(data.location())
    print(os.path.exists(data.location()))    

Equally, we can re-retrieve that data in a completely new instance of python using the following code:

    # -- Instance a scribble dictionary with the same identifier
    data = scribble.get('foobar')
    
    # -- Print the fact that we have retrieved the same 
    # -- infromation
    print(data)
    # {'option_a': True, 'option_b': 123}
    
    # -- We can then further edit the data
    data['option_a'] = False
    
    # -- Calling .save() will trigger the dictionary
    # -- to store its current state to a persistent state
    data.save()

By default scribble will store its data in the follow platform specific locations:

• Windows: %APPDATA%/pyscribble

• Linux: %XDG_CONFIG_HOME%/pyscribble if the environment variable exists, otherwise %HOME%/.config/pyscribble

• OSX: ËœHOME/Documents/pyscribble

However, you can override these paths by setting an environment variable PYSCRIBBLE_STORAGE_DIR, if this is set then the path defined by that variable will always be used over the default behaviour.

Compatability

This has been tested under Python 2.7.13 and Python 3.6.6 on both Ubuntu and Windows.

Contribute

If you would like to contribute thoughts, ideas, fixes or features please get in touch! [e-mail]