def markByTitle(self, resumeModel, jobColl):
titleModel = resumeModel.titleModels[0]
jobmodels = []
pro_lang = None
domain = None
level = None
role = None
if titleModel.has_key("pro_lang") :
pro_lang = titleModel["pro_lang"]
if titleModel.has_key("domain") :
domain = titleModel["domain"]
if titleModel.has_key("level") :
level = titleModel["level"]
if titleModel.has_key("role") :
role = titleModel["role"]
for jobModelDict in jobColl.find():
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
jobSummary = jobModel.summary
jobmodels.append(jobModel)
if pro_lang is not None and \
jobSummary.has_key("pro_lang") and \
jobSummary["pro_lang"] == pro_lang :
jobModel.same_pro_lang = True
else :
jobModel.same_pro_lang = False
if level is not None and \
jobSummary.has_key("level") and \
jobSummary["level"] == pro_lang :
jobModel.same_level = True
else :
jobModel.same_level = False
if domain is not None and \
jobSummary.has_key("domain") and \
jobSummary["domain"] == domain :
jobModel.same_domain = True
else :
jobModel.same_domain = False
if role is not None and \
jobSummary.has_key("role") and \
jobSummary["role"] == role :
jobModel.same_role = True
else :
jobModel.same_role = False
return jobmodels
def markByTitle(self, resumeModel, jobColl):
titleModel = resumeModel.titleModels[0]
jobmodels = []
pro_lang = None
domain = None
level = None
role = None
if titleModel.has_key("pro_lang"):
pro_lang = titleModel["pro_lang"]
if titleModel.has_key("domain"):
domain = titleModel["domain"]
if titleModel.has_key("level"):
level = titleModel["level"]
if titleModel.has_key("role"):
role = titleModel["role"]
for jobModelDict in jobColl.find():
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
jobSummary = jobModel.summary
jobmodels.append(jobModel)
if pro_lang is not None and \
jobSummary.has_key("pro_lang") and \
jobSummary["pro_lang"] == pro_lang :
jobModel.same_pro_lang = True
else:
jobModel.same_pro_lang = False
if level is not None and \
jobSummary.has_key("level") and \
jobSummary["level"] == pro_lang :
jobModel.same_level = True
else:
jobModel.same_level = False
if domain is not None and \
jobSummary.has_key("domain") and \
jobSummary["domain"] == domain :
jobModel.same_domain = True
else:
jobModel.same_domain = False
if role is not None and \
jobSummary.has_key("role") and \
jobSummary["role"] == role :
jobModel.same_role = True
else:
jobModel.same_role = False
return jobmodels
def match_jobsr(self, resumeModel, jobColl):
jobscore = {}
for jobModelDict in jobColl.find():
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
score = random.randint(1, 90)
# print jid , "--->" ,score
jobscore[jid] = score
jobscore = sorted(jobscore.items(), key=operator.itemgetter(1), reverse= True)
return jobscore
def match_jobsr(self, resumeModel, jobColl):
jobscore = {}
for jobModelDict in jobColl.find():
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
score = random.randint(1, 90)
# print jid , "--->" ,score
jobscore[jid] = score
jobscore = sorted(jobscore.items(),
key=operator.itemgetter(1),
reverse=True)
return jobscore
def match_jobModels(self, resumeModel, jobModels):
jobscore = {}
for jobModelDict in jobModels:
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
score = int (self.getSimilarity( resumeModel, jobModel )*100)
# print jid , "--->" ,score
if score > 0 :
jobscore[jid] = score
jobscore = sorted(jobscore.items(), key=operator.itemgetter(1), reverse= True)
return jobscore
def match_jobModels(self, resumeModel, jobModels):
jobscore = {}
for jobModelDict in jobModels:
jid = str(jobModelDict["_id"])
# print "jid=", jid
jobModel = JobModel(jid)
jobModel.deserialize(jobModelDict)
score = int(self.getSimilarity(resumeModel, jobModel) * 100)
# print jid , "--->" ,score
if score > 0:
jobscore[jid] = score
jobscore = sorted(jobscore.items(),
key=operator.itemgetter(1),
reverse=True)
return jobscore
