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")