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"""
A FOAF smushing example.
Filter a graph by normalizing all `foaf:Persons` into URIs based on
their `mbox_sha1sum`.
Suppose I get two [FOAF](http://xmlns.com/foaf/0.1) documents each
talking about the same person (according to `mbox_sha1sum`) but they
each used a [`BNode`][rdflib.term.BNode] for the subject. For this demo
I've combined those two documents into one file:
This filters a graph by changing every subject with a
`foaf:mbox_sha1sum` into a new subject whose URI is based on the
`sha1sum`. This new graph might be easier to do some operations on.
An advantage of this approach over other methods for collapsing BNodes
is that I can incrementally process new FOAF documents as they come in
without having to access my ever-growing archive. Even if another
`65b983bb397fb71849da910996741752ace8369b` document comes in next
year, I would still give it the same stable subject URI that merges
with my existing data.
"""
from pathlib import Path
from rdflib import Graph, Namespace
from rdflib.namespace import FOAF
STABLE = Namespace("http://example.com/person/mbox_sha1sum/")
EXAMPLES_DIR = Path(__file__).parent
if __name__ == "__main__":
g = Graph()
g.parse(f"{EXAMPLES_DIR / 'smushingdemo.n3'}", format="n3")
newURI = {} # old subject : stable uri # noqa: N816
for s, p, o in g.triples((None, FOAF["mbox_sha1sum"], None)):
# For this graph, all objects are Identifiers, which is a subclass of
# string. `n3` does allow for objects which are not Identifiers, like
# subgraphs.
assert isinstance(o, str)
newURI[s] = STABLE[o]
out = Graph()
out.bind("foaf", FOAF)
for s, p, o in g:
s = newURI.get(s, s)
o = newURI.get(o, o) # might be linked to another person
out.add((s, p, o))
print(out.serialize())
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