diff options
Diffstat (limited to 'examples/swap_primer.py')
| -rw-r--r-- | examples/swap_primer.py | 68 |
1 files changed, 40 insertions, 28 deletions
diff --git a/examples/swap_primer.py b/examples/swap_primer.py index dacb92e4..e3adc298 100644 --- a/examples/swap_primer.py +++ b/examples/swap_primer.py @@ -1,65 +1,70 @@ """ - This is a simple primer using some of the example stuff in the Primer on N3: http://www.w3.org/2000/10/swap/Primer - """ -# Load up RDFLib - -from rdflib import ConjunctiveGraph, Namespace, Literal +from rdflib import ConjunctiveGraph, Namespace, Literal, URIRef from rdflib.namespace import OWL, DC -if __name__ == '__main__': +if __name__ == "__main__": # Firstly, it doesn't have to be so complex. # Here we create a "Graph" of our work. # Think of it as a blank piece of graph paper! primer = ConjunctiveGraph() - myNS = Namespace('#') + myNS = Namespace("#") primer.add((myNS.pat, myNS.knows, myNS.jo)) # or: - primer.add((myNS['pat'], myNS['age'], Literal(24))) + primer.add((myNS["pat"], myNS["age"], Literal(24))) # Now, with just that, lets see how the system # recorded *way* too many details about what # you just asserted as fact. - # from pprint import pprint + + print("All the things in the Graph:") pprint(list(primer)) # just think .whatever((s, p, o)) # here we report on what we know + print("==================") + + print("Subjects:") pprint(list(primer.subjects())) + print("Predicates:") pprint(list(primer.predicates())) + print("Objects:") pprint(list(primer.objects())) + print("==================") # and other things that make sense - # what do we know about pat? + print("What we know about pat:") pprint(list(primer.predicate_objects(myNS.pat))) - # who is what age? + print("Who is what age?") pprint(list(primer.subject_objects(myNS.age))) + print("==================") + print("==================") + # Okay, so lets now work with a bigger # dataset from the example, and start # with a fresh new graph. + del(primer) primer = ConjunctiveGraph() # Lets start with a verbatim string straight from the primer text: mySource = """ - - - @prefix : <http://www.w3.org/2000/10/swap/Primer#>. + @prefix : <#> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @@ -92,9 +97,6 @@ if __name__ == '__main__': :Woman = foo:FemaleAdult . :Title a rdf:Property; = dc:title . - - - """ # --- End of primer code # To make this go easier to spit back out... @@ -103,28 +105,38 @@ if __name__ == '__main__': # By default, your main namespace is the URI of your # current working directory, so lets make that simpler: - myNS = Namespace('http://www.w3.org/2000/10/swap/Primer#') - primer.bind('', myNS) - primer.bind('owl', OWL) - primer.bind('dc', DC) - primer.bind('swap', 'http://www.w3.org/2000/10/swap/') + primer.bind("owl", OWL) + primer.bind("dc", DC) + primer.bind("swap", "http://www.w3.org/2000/10/swap/") # Lets load it up! - primer.parse(data=mySource, format='n3') + primer.parse(data=mySource, format="n3") # Now you can query, either directly straight into a list: - [(x, y, z) for x, y, z in primer] + print() + print("Printing bigger example's triples:") + for i in [(x, y, z) for x, y, z in primer]: + print(i) # or spit it back out (mostly) the way we created it: - print(primer.serialize(format='n3')) + print() + print("Printing bigger example as N3:") + print(primer.serialize(format="n3").decode("utf-8")) # for more insight into things already done, lets see the namespaces - list(primer.namespaces()) + print() + print("Printing bigger example's namespaces:") + for n in list(primer.namespaces()): + print(n) - # lets ask something about the data + # lets ask something about the data, using a SPARQL query - list(primer.objects(myNS.pat, myNS.child)) + print() + print("Who are pat's children?") + q = "SELECT ?child WHERE { :pat :child ?child }" + for r in primer.query(q): + print(r) |