def main(argv):
#TODO: This an RSS, there should be programatical ways to have an order to limit
# duplication
args = args_process(argv)
soup = BeautifulSoup(open(args.inputfile),'lxml')
currentbase = Graph()
currentbase.load(args.current, format='turtle')
g = Graph()
c = 0
for item in soup.find_all('item'):
c += 1
subject = URIRef("http://www.edsa-project.eu/jobs/StackOverflow/"+str(c))
#URL
url = Literal(item.guid.string)
if args.verbose:
print "Processing post " + url
if is_duplicate(currentbase,url):
if args.verbose:
print url +" identified as duplicate, skipping..."
continue
g.add((subject,ns.schema.url,url))
#Title
g.add((subject,ns.schema.jobTitle,Literal(item.title.string)))
#Description
g.add((subject,ns.schema.description,Literal(item.description.string)))
#PubDate
date = dtp.parse(item.pubdate.string)
g.add((subject,ns.schema.datePosted,
Literal(date.isoformat(),datatype=XSD.Date)))
for org in item.find_all('a10:name'):
#hiringOrganization
#TODO: Service to OpenCorporates to entity matching
# Low priority, maybe can be done with SILK later
g.add((subject,ns.schema.hiringOrganization,Literal(org.string)))
for cat in item.find_all('category'):
#skills
skill = URIRef("http://www.edsa-project.eu/skill/"+cat.string)
g.add((subject,ns.edsa.requiresSkill,skill))
g.add((skill,ns.edsa.lexicalValue,Literal(cat.string)))
if item.location is not None:
#location
g.add((subject,ns.schema.jobLocation,Literal(item.location.string)))
try:
tup = gn.find_location(item.location.string)
g.add((subject,ns.edsa.Location,URIRef(tup[0])))
g += tup[1]
except gn.NotFoundException as e:
#TODO: Redirect to an error file
print("%s in subject %s" % (e,subject))
print("problematic location %s" % item.location.string)
currentbase += g
g.serialize(destination=args.outputfile, format='turtle')
currentbase.serialize(destination=args.current, format='turtle')
def test_find_location_simple(self):
location = "Southampton, UK"
tup = gn.find_location(location)
self.assertTrue(isinstance(tup[0], rdflib.URIRef))
self.assertTrue(isinstance(tup[1], rdflib.Graph))
# At least we brought the correct name
askplace = prepareQuery(
""" ASK {
?iri gn:name ?name
}
""",
initNs={"gn": ns.geonames},
)
self.assertTrue(tup[1].query(askplace, initBindings={"name": rdflib.Literal("Southampton")}))
def test_find_location_utf8(self):
location = "Αθήνα, GR"
tup = gn.find_location(location)
self.assertTrue(isinstance(tup[0], rdflib.URIRef))
self.assertTrue(isinstance(tup[1], rdflib.Graph))
# At least we brought the correct name and country
askplace = prepareQuery(
""" ASK {
?iri gn:name ?name
}
""",
initNs={"gn": ns.geonames},
)
self.assertTrue(tup[1].query(askplace, initBindings={"name": rdflib.Literal("Athens")}))
def test_find_location_unknown(self):
location = "Unknownlandidfgdfg"
with assertRaises(gn.NotFoundException):
tup = gn.find_location(location)
def test_find_location_unknown(self):
location = "Unknownlandidfgdfg"
with assertRaises(gn.NotFoundException):
tup = gn.find_location(location)
def main(argv):
args = args_process(argv)
soup = BeautifulSoup(open(args.inputfile),'lxml')
currentbase = Graph()
currentbase.load(args.current, format='turtle')
g = Graph()
for item in soup.find_all('result'):
url = shrink_url(item.url.string.strip())
subject = URIRef(url)
#TODO: Check that with URL as subject, deduplication is not
# needed
if args.verbose:
print "Processing post " + url
if is_duplicate(currentbase,subject) or is_duplicate(g,subject):
if args.verbose:
print url +" identified as duplicate, skipping..."
continue
#URL
g.add((subject,ns.schema.url,URIRef(url)))
#Source
g.add((subject,ns.schema.source,Literal("Indeed")))
#Title
g.add((subject,ns.schema.jobTitle,Literal(item.jobtitle.string.strip())))
#Description
g.add((subject,ns.schema.description,Literal(get_description(url))))
#PubDate
date = dtp.parse(item.date.string)
g.add((subject,ns.schema.datePosted,
Literal(date.isoformat(),datatype=XSD.Date)))
#hiringOrganization
try:
g.add((subject,ns.schema.hiringOrganization,
Literal(item.company.string.strip())))
except AttributeError:
if args.verbose:
print ("%s has no company in the source data" % subject)
#location
location = item.formattedlocation.string.strip()
g.add((subject,ns.schema.jobLocation,Literal(location)))
try:
#TODO changing point when separating geonames subset from current base
if gn.is_inside(location,currentbase):
if args.verbose:
print ("%s already linked to geonames, reusing..." % location)
lociri = gn.get_iri(location,currentbase)
g.add((subject,ns.edsa.Location,lociri))
elif gn.is_inside(location,g):
if args.verbose:
print ("%s already linked to geonames, reusing..." % location)
lociri = gn.get_iri(location,g)
g.add((subject,ns.edsa.Location,lociri))
else:
tup = gn.find_location(item.formattedlocation.string.strip())
g.add((subject,ns.edsa.Location,URIRef(tup[0])))
g += tup[1]
except gn.NotFoundException as e:
#TODO: Redirect to an error file
print("%s in subject %s" % (e,subject))
print("problematic location %s" % item.formattedlocation.string)
currentbase += g
g.serialize(destination=args.outputfile, format='turtle')
currentbase.serialize(destination=args.current, format='turtle')
