import os import pickle import pandas as pd from flask import Flask, request, render_template, session from datetime import datetime from analytics import write_to_csv_departments,write_to_csv_teachers from analytics import get_counts from teacherdashboard import get_feedback_counts app = Flask(__name__) @app.route('/') def index(): return render_template('index.html') @app.route('/login', methods=['POST']) def do_admin_login(): if request.form['password'] == 'admin' and request.form['username'] == 'admin': session['logged_in'] = True return root() elif request.form['password'] == 'hod' and request.form['username'] == 'hod': session['logged_in'] = True return hoddashboard() elif request.form['password'] == 'teacher1' and request.form['username'] == 'teacher1': session['logged_in'] = True return teacherdashboard(1) elif request.form['password'] == 'teacher2' and request.form['username'] == 'teacher2': session['logged_in'] = True return teacherdashboard(2) elif request.form['password'] == 'teacher3' and request.form['username'] == 'teacher3': session['logged_in'] = True return teacherdashboard(3) elif request.form['password'] == 'teacher4' and request.form['username'] == 'teacher4': session['logged_in'] = True return teacherdashboard(4) elif request.form['password'] == 'teacher5' and request.form['username'] == 'teacher5': session['logged_in'] = True return teacherdashboard(5) elif request.form['password'] == 'teacher6' and request.form['username'] == 'teacher6': session['logged_in'] = True return teacherdashboard(6) else : return render_template('loginerror.html') def teacherdashboard(teachernumber): ttf, teachers_total_positive_feedbacks, teachers_total_negative_feedbacks, teachers_total_neutral_feedbacks, teachers_li = get_feedback_counts() ttp, ttn, ttneu, tcp, tcn, tcneu, tep, ten, teneu, tlwp, tlwn, tlwneu, tlfp, tlfn, tlfneu, tecp, tecn, tecneu = teachers_li ttp = int(round(ttp/ttf *100));ttn = int(round(ttn/ttf *100));ttneu = int(round(ttneu/ttf *100)) tcp = int(round(tcp / ttf * 100));tcn = int(round(tcn/ttf *100));tcneu = int(round(tcneu/ttf *100)) tep = int(round(tep / ttf * 100));ten = int(round(ten/ttf *100));teneu = int(round(teneu/ttf *100)) tlwp = int(round(tlwp / ttf * 100));tlwn = int(round(tlwn/ttf *100));tlwneu = int(round(tlwneu/ttf *100)) tlfp = int(round(tlfp / ttf * 100));tlfn = int(round(tlfn/ttf *100));tlfneu = int(round(tlfneu/ttf *100)) tecp = int(round(tecp / ttf * 100));tecn = int(round(tecn/ttf *100));tecneu = int(round(tecneu/ttf *100)) if teachernumber == 1: return render_template('teacherdashboard.html',ttf=ttf,ttp=ttp, ttn=ttn, ttneu=ttneu) elif teachernumber == 2: return render_template('teacherdashboard.html',ttf=ttf,ttp=tcp, ttn=tcn, ttneu=tcneu) elif teachernumber == 3: return render_template('teacherdashboard.html',ttf=ttf,ttp=tep, ttn=ten, ttneu=teneu) elif teachernumber == 4: return render_template('teacherdashboard.html',ttf=ttf,ttp=tlwp, ttn=tlwn, ttneu=tlwneu) elif teachernumber == 5: return render_template('teacherdashboard.html',ttf=ttf,ttp=tlfp, ttn=tlfn, ttneu=tlfneu) else: return render_template('teacherdashboard.html',ttf=ttf,ttp=tecp, ttn=tecn, ttneu=tecneu) @app.route('/login', methods=['GET']) def login(): return render_template('login.html') @app.route("/logout") def logout(): session['logged_in'] = False return render_template('index.html') @app.route("/predict", methods=['POST']) def predict(): teaching = request.form['teaching'] courseContent = request.form['coursecontent'] examination = request.form['examination'] labWork = request.form['labwork'] libraryFacilities = request.form['libraryfacilities'] extraCurricular = request.form['extracurricular'] teacher1 = request.form['teacher1'] teacher2 = request.form['teacher2'] teacher3 = request.form['teacher3'] teacher4 = request.form['teacher4'] teacher5 = request.form['teacher5'] teacher6 = request.form['teacher6'] model = pickle.load(open('SVM classifier.pkl', 'rb')) teachingscore = model.predict(pd.array([teaching])) courseContentscore = model.predict(pd.array([courseContent])) examinationscore = model.predict(pd.array([examination])) labWorkscore = model.predict(pd.array([labWork])) libraryFacilitiesscore = model.predict(pd.array([libraryFacilities])) extraCurricularscore = model.predict(pd.array([extraCurricular])) time = datetime.now().strftime("%m/%d/%Y (%H:%M:%S)") teacher1score = model.predict(pd.array([teacher1])) teacher2score = model.predict(pd.array([teacher2])) teacher3score = model.predict(pd.array([teacher3])) teacher4score = model.predict(pd.array([teacher4])) teacher5score = model.predict(pd.array([teacher5])) teacher6score = model.predict(pd.array([teacher6])) write_to_csv_departments(time,teachingscore[0],teaching,courseContentscore[0],courseContent, examinationscore[0],examination,labWorkscore[0],labWork,libraryFacilitiesscore[0], libraryFacilities,extraCurricularscore[0],extraCurricular) write_to_csv_teachers(teacher1,teacher1score[0],teacher2,teacher2score[0],teacher3,teacher3score[0], teacher4,teacher4score[0],teacher5,teacher5score[0],teacher6,teacher6score[0]) return render_template('thankyoupage.html') @app.route('/admin') def root(): if not session.get('logged_in'): return render_template('login.html') else: total_feedbacks, total_positive_feedbacks, total_negative_feedbacks, total_neutral_feedbacks, li = get_counts() tp,tn,tneu,cp,cn,cneu,ep,en,eneu,lwp,lwn,lwneu,lfp,lfn,lfneu,ecp,ecn,ecneu = li teachers_total_feedbacks, teachers_total_positive_feedbacks, teachers_total_negative_feedbacks, teachers_total_neutral_feedbacks, teachers_li = get_feedback_counts() ttp, ttn, ttneu, tcp, tcn, tcneu, tep, ten, teneu, tlwp, tlwn, tlwneu, tlfp, tlfn, tlfneu, tecp, tecn, tecneu = teachers_li return render_template('admin.html',tf = total_feedbacks,tpf = total_positive_feedbacks,tnegf = total_negative_feedbacks, tneuf= total_neutral_feedbacks, tp=tp,tn=tn,tneu=tneu,cp=cp,cn=cn,cneu=cneu,ep=ep,en=en,eneu=eneu, lwp=lwp,lwn=lwn,lwneu=lwneu,lfp=lfp,lfn=lfn,lfneu=lfneu,ecp=ecp, ecn=ecn,ecneu=ecneu, ttf = teachers_total_feedbacks, ttpf = teachers_total_positive_feedbacks, ttnegf = teachers_total_negative_feedbacks, ttneuf = teachers_total_neutral_feedbacks,ttp = ttp, ttn = ttn, ttneu = ttneu, tcp = tcp, tcn = tcn, tcneu = tcneu, tep = tep, ten = ten, teneu = teneu,tlwp = tlwp, tlwn = tlwn, tlwneu = tlwneu, tlfp = tlfp, tlfn = tlfn, tlfneu = tlfneu, tecp = tecp,tecn = tecn, tecneu = tecneu ) @app.route("/hoddashboard") def hoddashboard(): if not session.get('logged_in'): return render_template('login.html') else : teachers_total_feedbacks, teachers_total_positive_feedbacks, teachers_total_negative_feedbacks, teachers_total_neutral_feedbacks, teachers_li = get_feedback_counts() ttp, ttn, ttneu, tcp, tcn, tcneu, tep, ten, teneu, tlwp, tlwn, tlwneu, tlfp, tlfn, tlfneu, tecp, tecn, tecneu = teachers_li return render_template('hoddashboard.html', ttf=teachers_total_feedbacks, ttpf=teachers_total_positive_feedbacks, ttnegf=teachers_total_negative_feedbacks, ttneuf=teachers_total_neutral_feedbacks, ttp=ttp, ttn=ttn, ttneu=ttneu, tcp=tcp, tcn=tcn, tcneu=tcneu, tep=tep, ten=ten, teneu=teneu, tlwp=tlwp, tlwn=tlwn, tlwneu=tlwneu, tlfp=tlfp, tlfn=tlfn, tlfneu=tlfneu, tecp=tecp, tecn=tecn, tecneu=tecneu ) @app.route("/displayteacherfeedbacks") def displayteacherfeedbacks(): if not session.get('logged_in'): return render_template('login.html') else: df1 = pd.read_csv('dataset/teacherdb.csv') return render_template('teacherfeedbacks.html', tables=[df1.to_html(classes='data', header="true")]) @app.route("/display") def display(): if not session.get('logged_in'): return render_template('login.html') else: df = pd.read_csv('dataset/database.csv') return render_template('feedbacks.html', tables=[df.to_html(classes='data', header="true")]) app.secret_key = os.urandom(12) app.run( host='0.0.0.0', debug=True)