def resume_search(keyword, pageno):
if app.config['keyword'] != keyword:
jids = indexer.searchColl( dataHandler.jobCollection, keyword)
jobmodels = dataHandler.get_jobmodel_ids(jids)
resume = app.config['resume']
resumeModel = resumeparser.parseResumeText(resume)
result = similarity.match_jobModels(resumeModel , jobmodels)
app.config['matchjids'] = result
print "resume_search len =", len(result)
result = app.config['matchjids']
start = (pageno-1) *20
end = min ( start+20 , len(result) )
print "resume_search start end " , start , end
jobpage = result[start:end]
jobs=[]
for key, value in jobpage:
# print key, value
job = dataHandler.get_job(key)
job["score"] = value
jobs.append(job)
pagerInfo = {}
resultnum = len(result)
pagerInfo["start"] = 1
pagerInfo["end"] = int(math.ceil(float(resultnum) /20))
pagerInfo["pageno"] = pageno
dbinfo["pageno"] = pageno
dbinfo['collsize'] = resultnum
# return render_template('job_resume_keyword.html', jobs=jobs, keyword=query)
return render_template('job_resume_keyword.html', dbinfo=dbinfo, pagerInfo=pagerInfo, jobs=jobs, query=keyword, qtype="resume_keyword")
def resume_match(pageno):
if ( app.config['matchjids'] == None ):
print "--- calculate similarity ----"
resume = app.config['resume']
resumeModel = resumeparser.parseResumeText(resume)
modelColl = dataHandler.modelCollection
result = similarity.match_jobColl(resumeModel , modelColl )
app.config['matchjids'] = result
print "match len =", len(result)
result = app.config['matchjids']
print "resume_match len =", len(result)
start = (pageno-1)*20
end = min ( start+20 , len(result) )
jobpage = result[start:end]
print "resume_match len jobpage =", len(jobpage) , start, end
jobs=[]
for key, value in jobpage:
# print key, value
job = dataHandler.get_job(key)
job["score"] = value
jobs.append(job)
pagerInfo = {}
resultnum = len(result)
pagerInfo["start"] = 1
pagerInfo["end"] = int(math.ceil(float(resultnum) /20))
pagerInfo["pageno"] = pageno
dbinfo["pageno"] = pageno
dbinfo['collsize'] = resultnum
return render_template('job_match2.html', dbinfo=dbinfo, pagerInfo=pagerInfo, jobs=jobs, query="", qtype="resume")
def upload():
# Get the name of the uploaded file
file = request.files['file']
# Check if the file is one of the allowed types/extensions
if file and allowed_file(file.filename):
# Make the filename safe, remove unsupported chars
filename = secure_filename(file.filename)
# Move the file form the temporal folder to
# the upload folder we setup
path = os.path.join(app.config['UPLOAD_FOLDER'] , filename)
print "path=", path
file.save( path )
# print "session=", session
resume = fileToTxt(path)
session['resume'] = resume
session['resume_name'] = filename
app.config['matchjids'] = None
app.config['resume'] = resume
resumeModel = resumeparser.parseResumeText(resume)
app.config['resumeModel'] = resumeModel
# print "session resume name ===", resume
# Redirect the user to the uploaded_file route, which
# will basicaly show on the browser the uploaded file
return render_template('set_resume.html', resume=resume, filename=filename )
def upload():
# Get the name of the uploaded file
file = request.files['file']
# Check if the file is one of the allowed types/extensions
if file and allowed_file(file.filename):
# Make the filename safe, remove unsupported chars
filename = secure_filename(file.filename)
# Move the file form the temporal folder to
# the upload folder we setup
path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
print "path=", path
file.save(path)
# print "session=", session
resume = fileToTxt(path)
session['resume'] = resume
session['resume_name'] = filename
app.config['matchjids'] = None
app.config['resume'] = resume
resumeModel = resumeparser.parseResumeText(resume)
app.config['resumeModel'] = resumeModel
# print "session resume name ===", resume
# Redirect the user to the uploaded_file route, which
# will basicaly show on the browser the uploaded file
return render_template('set_resume.html',
resume=resume,
filename=filename)
def getOntology(resumefile, dbname, modelCollName):
dbClient = DbClient('localhost', 27017, dbname)
modelColl = dbClient.getCollection(modelCollName)
with open(resumefile, 'r') as content_file:
content = content_file.read()
content = remove_non_ascii_2(content)
resumeModel = resumeparser.parseResumeText(content)
# print resumeModel
similarity = ModelSimilarity()
result = similarity.match_jobColl(resumeModel, modelColl)
n = 1
for key, value in result[:20]:
print n, key, value
n = n + 1
print "- - - - - - -"
for key, value in result[:20]:
print key
def resume_search(keyword, pageno):
if app.config['keyword'] != keyword:
jids = indexer.searchColl(dataHandler.jobCollection, keyword)
jobmodels = dataHandler.get_jobmodel_ids(jids)
resume = app.config['resume']
resumeModel = resumeparser.parseResumeText(resume)
result = similarity.match_jobModels(resumeModel, jobmodels)
app.config['matchjids'] = result
print "resume_search len =", len(result)
result = app.config['matchjids']
start = (pageno - 1) * 20
end = min(start + 20, len(result))
print "resume_search start end ", start, end
jobpage = result[start:end]
jobs = []
for key, value in jobpage:
# print key, value
job = dataHandler.get_job(key)
job["score"] = value
jobs.append(job)
pagerInfo = {}
resultnum = len(result)
pagerInfo["start"] = 1
pagerInfo["end"] = int(math.ceil(float(resultnum) / 20))
pagerInfo["pageno"] = pageno
dbinfo["pageno"] = pageno
dbinfo['collsize'] = resultnum
# return render_template('job_resume_keyword.html', jobs=jobs, keyword=query)
return render_template('job_resume_keyword.html',
dbinfo=dbinfo,
pagerInfo=pagerInfo,
jobs=jobs,
query=keyword,
qtype="resume_keyword")
def resume_match(pageno):
if (app.config['matchjids'] == None):
print "--- calculate similarity ----"
resume = app.config['resume']
resumeModel = resumeparser.parseResumeText(resume)
modelColl = dataHandler.modelCollection
result = similarity.match_jobColl(resumeModel, modelColl)
app.config['matchjids'] = result
print "match len =", len(result)
result = app.config['matchjids']
print "resume_match len =", len(result)
start = (pageno - 1) * 20
end = min(start + 20, len(result))
jobpage = result[start:end]
print "resume_match len jobpage =", len(jobpage), start, end
jobs = []
for key, value in jobpage:
# print key, value
job = dataHandler.get_job(key)
job["score"] = value
jobs.append(job)
pagerInfo = {}
resultnum = len(result)
pagerInfo["start"] = 1
pagerInfo["end"] = int(math.ceil(float(resultnum) / 20))
pagerInfo["pageno"] = pageno
dbinfo["pageno"] = pageno
dbinfo['collsize'] = resultnum
return render_template('job_match2.html',
dbinfo=dbinfo,
pagerInfo=pagerInfo,
jobs=jobs,
query="",
qtype="resume")