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 ketword_search(keyword, pageno):
if app.config['keyword'] != keyword:
jids = indexer.searchColl( dataHandler.jobCollection, keyword)
app.config['jids'] = jids
app.config['keyword'] = keyword
jids = app.config['jids']
start = (pageno - 1 ) * 20
page = jids[start:start+20]
jobs = dataHandler.get_job_ids(page)
return jobs, len(jids)
def ketword_search(keyword, pageno):
if app.config['keyword'] != keyword:
jids = indexer.searchColl(dataHandler.jobCollection, keyword)
app.config['jids'] = jids
app.config['keyword'] = keyword
jids = app.config['jids']
start = (pageno - 1) * 20
page = jids[start:start + 20]
jobs = dataHandler.get_job_ids(page)
return jobs, len(jids)
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")
