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Knowledge is a polymorphic vertical database based on SQLAlchemy. It provides a dict-like interface to the database.

Knowledge is comprised of two related objects: Fact()s and Entity()s. Entities can be created and then have arbitrary facts applied to them. Before Knowledge can be used, the DB has to be set up with SQLAlchemy as follows:

from sqlalchemy import create_engine
from knowledge.model import init_model, metadata
engine = create_engine('sqlite:///knowledge.db')
init_model(engine)
metadata.create_all(engine)

Using knowledge is easy. Entities are created with a key, then facts about the entity can be applied like values in a dictionary:

from knowledge.model import Entity, DBSession

monster = Entity(u'Monster')
fairy = Entity(u'Fairy')
rjbean = Entity(u'rjbean')
monster[u'color'] = u'Green'
monster[u'name'] = u'Lotharrr'
fairy[u'flies'] = True
fairy[u'name'] = u'Bell'
rjbean[u'name'] = u'ralph'
rjbean[u'flies'] = False
rjbean[u'hacks'] = True

DBSession.add(monster)
DBSession.add(fairy)
DBSession.add(rjbean)
DBSession.commit()

Retrieving Entities and Facts from the DB works just like any other SQLAlchemy application:

from knowledge.model import Entity, DBSession

# Query all the Entities out of knowledge
knowledge_query = DBSession.query(Entity).all()
for entity in knowledge_query:
    print entity, entity.facts.values()

Release files for knowledge 0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for knowledge 0.3
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Release files / knowledge-0.3.tar.gz

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