96 lines
2.9 KiB
Python
96 lines
2.9 KiB
Python
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import csv
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from pprint import pprint
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import urllib
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from rdflib import Namespace
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from rdfalchemy import rdfSingle
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from rdfalchemy.rdfSubject import rdfSubject
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from rdflib import Literal, BNode, Namespace, URIRef
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from rdflib import RDF, RDFS, Graph, OWL
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from rdflib.namespace import XSD
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foaf = Namespace('http://xmlns.com/foaf/0.1/')
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core = Namespace('http://vivoweb.org/ontology/core#')
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vitro = Namespace('http://vitro.mannlib.cornell.edu/ns/vitro/0.7')
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local = Namespace('http://localhost/core/ontology/core-local#')
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#Namespace for the vivo app
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vivo_app_url = 'http://localhost/vivo/'
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app = Namespace(vivo_app_url)
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class Thing(rdfSubject):
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rdf_type = OWL.Thing
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label = rdfSingle(RDFS.label)
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class Person(Thing):
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rdf_type = foaf.Person
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class FacultyMember(Person):
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rdf_type = core.FacultyMember
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firstname = rdfSingle(foaf.firstName)
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middlename = rdfSingle(core.middleName)
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lastname = rdfSingle(foaf.lastName)
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work_email = rdfSingle(core.workEmail)
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phone = rdfSingle(core.workPhone)
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fax = rdfSingle(core.workFax)
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research_overview = rdfSingle(core.researchOverview)
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preferred_title = rdfSingle(core.preferredTitle)
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moniker = rdfSingle(vitro.moniker)
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people_id = rdfSingle(local.peopleID)
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def get_graph():
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"""
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Helper for getting a graph and binding namespaces.
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"""
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g = rdfSubject.db
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#Bind the namespaces
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g.bind('foaf', foaf)
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g.bind('core', core)
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g.bind('vitro', vitro)
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g.bind('local', local)
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return g
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g = get_graph()
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#Open the sample VIVO people file.
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csv_url = 'http://iweb.dl.sourceforge.net/project/vivo/Data%20Ingest/people.csv'
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people_file = urllib.urlopen(csv_url)
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for count, row in enumerate(csv.DictReader(people_file)):
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#Create a URI for the person.
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person_uri = URIRef("%sfaculty%s" % (app, count + 1))
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fac = FacultyMember(person_uri)
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fac.label = row.get('name').strip()
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fac.people_id = row.get('person_ID')
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fac.moniker = row.get('title')
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fac.firstname = row.get('first')
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middle_name = row.get('middle')
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if middle_name is not None and middle_name != "":
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fac.middlename = row.get('middle')
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fac.lastname = row.get('last')
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fac.work_email = row.get('email')
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fac.phone = row.get('phone')
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fac.fax = row.get('fax')
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print g.serialize(format='n3')
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g.close()
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"""
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#Load the n3 file as a rdfSubject db.
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people_n3 = 'http://iweb.dl.sourceforge.net/project/vivo/Data%20Ingest/people.n3'
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rdfSubject.db.load(people_n3, format='n3')
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#Get all of the assistant professors in the graph.
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asst_professors = FacultyMember.filter_by(moniker="Assistant Professor")
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print '\n' + '=' * 20
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print "Assistant Professors"
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print '=' * 20 + '\n'
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for fac in asst_professors:
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#Print full name, email, and url to vivo profile.
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print "%s\t%s\t%s" % (fac.label, fac.work_email, fac.resUri.toPython())
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#Use get_by to retrieve a single faculty member
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faculty = FacultyMember.get_by(hr_id='3958')
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print faculty.label"""
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