Taxonomy Tree AutoVivification

main.py

from taxonomy_tree import TaxonomyTree

taxonomy = TaxonomyTree()

taxonomy.linguagens.script.python
taxonomy.linguagens.script.perl
taxonomy.linguagens.funcionais.elixir
taxonomy.linguagens.funcionais.f_sharp
taxonomy.databases.nosql.mongo
taxonomy.databases.nosql.cassandra
taxonomy.databases.sql.mysql
taxonomy.databases.sql.postgres
taxonomy['databases']['hybrid']['orient']



print taxonomy.as_dict()
{ 
    "databases": {
        "hybrid": {
            "orient": {}
        }, 
        "nosql": {
            "cassandra": {}, 
            "mongo": {}
        }, 
        "sql": {
            "mysql": {}, 
            "postgres": {}
        }
    }, 
    "linguagens": {
        "funcionais": {
            "elixir": {}, 
            "f_sharp": {}
        }, 
        "script": {
            "perl": {}, 
            "python": {}
        }
    }
}

taxonomy_tree.py

__author__ = 'rochacbruno'

import collections
import json


class TaxonomyDict(collections.defaultdict):
    """
    Mind Blowing Recursive Tree implementing AutoVivification for taxonomy Trees
    """
    def __getattr__(self, attr):
        return self[attr]

    def __setattr__(self, attr, val):
        self[attr] = val

    def as_json(self, indent=4, sort_keys=True):
        return json.dumps(self, indent=indent, sort_keys=sort_keys)

    def __unicode__(self):
        return self.as_json()

    __str__ = __unicode__

    def as_dict(self):
        return json.loads(self.as_json())

TaxonomyTree = lambda: TaxonomyDict(TaxonomyTree)