Introducing Bulbs for Python
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In the process of developing Whybase, a startup debuting this fall, developer James Thornton needed a persistence layer to model Whybase's complex relationships, and from that need came Bulbs, the open-sourced version of said framework.
Bulbs is an open-source Python persistence framework for graph databases and the first piece of a larger Web-development toolkit that will be released in the upcoming weeks. It’s like an ORM for graphs, but instead of SQL, you use the graph-traveral language Gremlin to query the database.
-- James Thornton
Essentially, this allows you to take your code anywhere, since you no longer have to worry about vendor lock in.
Thornton provides a couple code examples on how to model and create domain objects:
Model Domain Objects
from bulbs.model import Node from bulbs.datatype import Property, String class Idea(Node): element_type = "idea" text = Property(String, nullable=False) stub = Property(String,"make_stub") def make_stub(self): return utils.create_stub(self.text) def after_created(self): Relationship.create(self,"created_by",current_user)
Create Domain Objects
>>> from whybase.idea import Idea >>> idea = Idea(text="the key to life is perspective") >>> idea.eid >>> 8 >>> idea.text 'the key to life is perspetive' >>> idea.stub 'the-key-to-life-is-perspective'
There's even this cool video by Gremlin creator, Marko Rodriguez:
So why take the time to create these graphs? As Thornton puts it:
Graphs are a much more elegant way of storing relational data. Graphs are a fundamental data structure in computer science, and with graph databases you don’t have to mess with tables or joins – everything is explicitly joined.
Bulbs is currently available for download here, and as previously mentioned, this is just the beginning of a much larger Web-Development toolkit that will be here soon.
Python (language) Relational database
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