How to make a selective fulltext index for neo4j in bulbs framework for Python?

James Thronton provides an excellent example of how to configure bulbs to use a fulltext index as default index for all neo4j fileds here: https://gist.github.com/espeed/3025438

However, is there a way of manually managing fulltext indexes so that they only cover some properties on some node types? If yes, how it is done?

See my answer on how to do selective indexing in Bulbs without models...

• https://stackoverflow.com/a/20046763/161085

And if you don't want to use the FulltextIndex as the default index (presumably for performance reasons), you can manually put the values to be indexed:

>>> from bulbs.neo4jserver import Graph, FulltextIndex
>>> from bulbs.element import Vertex
>>> index_name="fulltext_vertex"
>>> g = Graph()
>>> g.vertices.fulltext = g.factory.get_index(Vertex, FulltextIndex, index_name) 
>>> james = g.vertices.create(name="James Thornton", city="Dallas")
>>> g.vertices.fulltext.put(james.eid, name=james.name)
>>> vertices = g.vertices.fulltext.query(name="James")
>>> vertices.next()

See...

• Bulbs Docs http://bulbflow.com/docs/api/bulbs/neo4jserver/indices/#fulltext-index
• Index https://github.com/espeed/bulbs/blob/master/bulbs/neo4jserver/index.py#L228
• Fulltext https://github.com/espeed/bulbs/blob/master/bulbs/neo4jserver/index.py#L483

And to automate the fulltext indexing behavior without making the fulltext index the default index, use a Bulbs Model and create a custom Graph object.

See my answer on how to customize Bulbs models...

• Is there a equivalent to commit in bulbs framework for neo4j