def getSentsByOntology():
owlfile = "..\..\jobaly\ontology\web_dev.owl"
ontology = OntologyLib(owlfile)
terms = [ " "+ x.lower()+" " for x in ontology.getLabelList()]
terms.extend([" "+x.lower()+" " for x in ontology.getAllClassNames()])
srcBbClient = DbClient('localhost', 27017, "jobaly_daily_test")
newCol = srcBbClient.getCollection("daily_job_webdev")
collection = newCol
matchingSents = []
for job in collection.find():
# print "\n\n\n======",job["_id"],"============================\n"
jobDesc = JobDescParser.parseJobDesc(job)
sents = jobDesc.listAllSentences()
jid = job["_id"]
for sent in sents:
c = 0
sent = " "+sent.lower()+" "
for term in terms:
if sent.find(term) != -1:
c+=1
if c==3 :
print sent.encode("GBK", "ignore")
matchingSents.append((jid, sent))
break
sortedsents = sorted(matchingSents, key=lambda x: len(x[1]) )
dumpTwo(sortedsents, "term3" , ( lambda x: x[0] + ":" + x[1] ) )
def preProcess(data_set_name, target_set_name):
max_length = 200
data = datautils.loadJson(data_set_name)
newdata = []
for item in data:
if len (item[1] ) < max_length :
item.append ( preProcessFun(item[1]) )
item[1] = len(item[2].split())
newdata.append(item)
newdata = sorted(newdata, key=operator.itemgetter(1) )
datautils.dumpTwo(newdata, target_set_name, dumpLam2)
def preProcess(data_set_name, target_set_name):
max_length = 200
data = datautils.loadJson(data_set_name)
newdata = []
for item in data:
if len(item[1]) < max_length:
item.append(preProcessFun(item[1]))
item[1] = len(item[2].split())
newdata.append(item)
newdata = sorted(newdata, key=operator.itemgetter(1))
datautils.dumpTwo(newdata, target_set_name, dumpLam2)
def getSentenceByTerm(collection, term, outputPath):
matchingSents = []
for job in collection.find():
# print "\n\n\n======",job["_id"],"============================\n"
jobDesc = JobDescParser.parseJobDesc(job)
sents = jobDesc.listAllSentences()
jid = job["_id"]
for sent in sents:
tokens = [ token.lower() for token in word_tokenize(sent)]
if term in tokens :
matchingSents.append((jid, sent))
print sent.encode("GBK", "ignore")
sortedsents = sorted(matchingSents, key=lambda x: len(x[1]) )
dumpTwo(sortedsents, outputPath , ( lambda x: x[0] + ":" + x[1] ) )
def getJavaScipt():
srcBbClient = DbClient('localhost', 27017, "jobaly_daily_test")
newCol = srcBbClient.getCollection("daily_job_webdev")
collection = newCol
term = "javascript"
matchingSents = []
for job in collection.find():
# print "\n\n\n======",job["_id"],"============================\n"
jobDesc = JobDescParser.parseJobDesc(job)
sents = jobDesc.listAllSentences()
jid = job["_id"]
for sent in sents:
tokens = [ token.lower() for token in word_tokenize(sent)]
if term in tokens :
matchingSents.append((jid, sent))
print sent.encode("GBK", "ignore")
sortedsents = sorted(matchingSents, key=lambda x: len(x[1]) )
dumpTwo(sortedsents, "..\skill\output\javascript" , ( lambda x: x[0] + ":" + x[1] ) )