def wrap(*args,**kwargs):
if 'user' in flask.session:
flask.flash("You need to log out first")
dbh = DatabaseHelper.getInstance()
nm = NotificationManager.getInstance(flask.session['sessionID'])
return flask.render_template('menu.html', message=nm.getUserNotifications(), days=json.dumps(dbh.getTakenDays(flask.session['sessionID'])))
else:
return f(*args,**kwargs)
def wrap(*args,**kwargs):
nm = NotificationManager.getInstance(flask.session['sessionID'])
dbh = DatabaseHelper.getInstance()
acc,filename,wpm,var,mFreq,brTime,avgAmp = dbh.return_audiorecordings(flask.session['sessionID'])
if len(filename) == 0:
if not nm.newStartGiven:
nm.addNotification("Hi " + flask.session['user'] + ', and welcome to PAPA! It seems to be your first time using this app. Please click the help button to get started.', "help", "PAPA Team")
nm.newStartGiven = True
return f(*args,**kwargs)
def getOrdering(self, userID):
listFilled = []
dbh = DatabaseHelper.getInstance()
prefs = dbh.return_text_pref(userID)
for i in prefs:
if i != "NULL" and i != '':
listFilled.append(i)
for i in os.listdir('files/daily-articles/'):
if i not in listFilled and i != 'ArticleSites.txt' and i != ".DS_Store":
listFilled.append(i)
return listFilled
def insertAnalyzeData(self):
try:
peakspermin = (self.peaks / self.duration) * 60
self.logger.debug("PeaksPerMin = {}")
troughspermin = (self.troughs / self.duration) * 60
self.logger.debug("troughspermin")
blinkspermin = (self.blinks / self.duration) * 60
self.logger.debug("blinkspermin")
self.dbh = DatabaseHelper.getInstance()
self.dbh.insert_videorecordings(self.userId, self.blinks,
self.peaks, self.troughs,
blinkspermin, peakspermin,
troughspermin, self.duration,
self.filename, self.case)
self.logger.info("Data has been inserted into the Database")
self.resetValues()
return True
except:
self.logger.error("Insert Analyze Failed")
return False
def beginAnalysisThread(self, user, userId, dbh, filename, case):
try:
self.case = case
self.filename = filename + ".avi"
self.dbh = DatabaseHelper.getInstance()
self.username = user
self.userId = userId
self.VIDEOPATH = str(os.getcwd() + "\\recordings_video\\" +
self.username + "\\" + self.filename)
self.out = cv2.VideoWriter(self.VIDEOPATH, self.fourcc, 20.0,
(320, 240))
self.logger.info("Video Created at:{0}".format(self.VIDEOPATH))
self.logger.info(
"Analysis Thread has Begun(user:{0}, userId:{1},filename:{2})".
format(self.username, self.userId, self.filename))
self.Thread = threading.Thread(target=self.analyzeVideoRecording,
args=(case, filename, user, userId))
self.Thread.start()
return True
except Exception as e:
self.logger.error("Tried to Begin Thread:{0}".format(e))
return False
def wrap(*args,**kwargs):
nm = NotificationManager.getInstance(flask.session['sessionID'])
dbh = DatabaseHelper.getInstance()
acc,filename,wpm,var,mFreq,brTime,avgAmp = dbh.return_audiorecordings(flask.session['sessionID'])
ch_acc,ch_wpm,ch_var,ch_mFreq,ch_breath,ch_avgAmp,ch_blink,ch_jvib = dbh.return_config(flask.session['sessionID'])
filename,total_blinks,total_peaks,total_troughs,blinkspermin,peakspermin,troughspermin,video_duration = dbh.return_videoRecordings(flask.session['sessionID'])
try:
if len(acc) >5:
avg_acc = (sum(acc) - acc[-1])/(len(acc) - 1)
avg_wpm = (sum(wpm) - wpm[-1])/(len(wpm) - 1)
avg_var = (sum(var) - var[-1])/(len(var) - 1)
avg_mFreq = (sum(mFreq) - mFreq[-1])/(len(mFreq) - 1)
avg_brTime = (sum(brTime) - brTime[-1])/(len(brTime) - 1)
avg_avgAmp = (sum(avgAmp) - avgAmp[-1])/(len(avgAmp) - 1)
avg_blinkspermin = (sum(blinkspermin) - blinkspermin[-1])/(len(blinkspermin) - 1)
avg_peakspermin = (sum(peakspermin) - peakspermin[-1])/(len(peakspermin) - 1)
if (((acc[-1]/avg_acc)-100) <= -ch_acc) or (((wpm[-1]/avg_wpm)-100) <= -ch_wpm) or (((var[-1]/avg_var)-100) <= -ch_var) or (((brTime[-1]/avg_brTime)-100) <= ch_breath) or (((avg_avgAmp[-1]/avg_avgAmp)-100) <= -ch_avgAmp) or (((mFreq[-1]/avg_mFreq)-100) <= -ch_mFreq or (((blinkspermin[-1]/avg_blinkspermin)-100) <= -ch_blink) or (((peakspermin[-1]/avg_peakspermin)-100) <= ch_jvib)):
nm.addNotification('We have noticed some changes in your results, your doctor has been notified, but you may wish to book an appointment',"deterioration","Analysis Team")
nm.sendDoctorNotifications("Hello", "*****@*****.**")
return flask.render_template('menu.html', message=nm.getUserNotifications(), days=json.dumps(dbh.getTakenDays(flask.session['sessionID'])))
except:
return flask.render_template('menu.html', message=nm.getUserNotifications(), days=json.dumps(dbh.getTakenDays(flask.session['sessionID'])))
return f(*args,**kwargs)