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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__) | |
def index(): | |
return render_template('index.html') | |
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) | |
def login(): | |
return render_template('login.html') | |
def logout(): | |
session['logged_in'] = False | |
return render_template('index.html') | |
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') | |
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 | |
) | |
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 | |
) | |
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")]) | |
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) | |