def opinion_post():
name = request.form["name"]
title = request.form["title"]
opinion = request.form["opinion"]
create_opinion(name, title, opinion)
identity = get_id(name, title, opinion)
if "file" in request.files:
image_file = request.files["file"]
img_type = image_file.filename.split(".")[-1]
if img_type in ALLOWED_EXTENSIONS:
filename = secure_filename("saved_image_" + str(identity) + "." +
img_type)
saved_filename = os.path.join(app.config["UPLOAD_FOLDER"],
filename)
if ON_COMPUTER:
touch(FULL_PATH + saved_filename)
image_file.save(FULL_PATH + saved_filename)
else:
touch(saved_filename)
image_file.save(saved_filename)
else:
raise AssertionError("Invalid Image type")
img_url = saved_filename
else:
img_url = DEFAULT_IMAGE_URL
change_url(identity, img_url)
return redirect(url_for("hello_world"))
def classinfo():
if not session.has_key('user'):
return redirect(url_for("about"))
username=session['user']
name=database.get_name(username)
osis=database.get_osis(username)
digits=database.get_id(username)
email=database.get_email(username)
schedule=database.get_schedule(username)
classes=database.get_class_info()
if request.method=='GET':
return render_template("class.html"
,name=name
,osis=osis
,digits=digits
,email=email
,classes=classes
,schedule=schedule
,get=True)
if request.method=="POST":
value=request.form['button']
value=value.split(" ")
index=int(value[1])-1
validate=True
if (str(value[0])=="set"):
period=classes[index][0]
clas=classes[index]
schedule=database.get_schedule(username)
if schedule[int(period)-1][1]=="free":
database.set_period(username,period,clas)
else:
validate=False
if (str(value[0])=="req"):
req=classes[index]
period=classes[index][0]
if database.has_lunch(username,period) or l_equal(schedule[int(period)-1],req):
validate=False
else:
database.post_request(username,req)
return render_template("class.html"
,name=name
,osis=osis
,digits=digits
,email=email
,classes=classes
,schedule=schedule
,validate=validate)
def photo(update, context):
data['code_id'] = db.get_id(data['tel_id'])
code_id = data['code_id']
photo_file = update.message.photo[-1].get_file()
file_path = f'photos/img_{code_id}.jpg'
photo_file.download(file_path)
# blob_form = convert_to_blob(file_path)
# data['photo'] = blob_form
res_reg = db.new_female_advertisement(data)
if res_reg:
text = """
ثبت آگهی شما تکمیل شده است و پس از تایید توسط ادمین منتشر خواهد شد
"""
else:
text = """
متاسفانه ثبت آگهی شما با خطا مواجه شد، لطفا دوباره تلاش کنید
"""
ret = [[InlineKeyboardButton('بازگشت', callback_data='return_key')]]
ret_key = InlineKeyboardMarkup(ret)
update.message.reply_text(text, reply_markup=ret_key)
return ConversationHandler.END
def edit():
if not session.has_key('user'):
return redirect(url_for("about"))
username=session['user']
email=database.get_email(username)
osis=database.get_osis(username)
digit=database.get_id(username)
if request.method=='GET':
return render_template("edit.html"
,username=username
,email=email
,osis=osis
,digit=digit
,loggedout=False)
if request.method=='POST':
if request.form['button']=='Edit':
password=request.form['password']
email=request.form['email']
digit=request.form['digit']
osis=request.form['osis']
lunch=request.form['lunch']
schedule=database.get_schedule(username)
current_lunch=database.get_lunch(username)
pos=database.get_period(username,int(lunch))[1]
if not (pos == 'free' or pos=='Cafe'):
return render_template("edit.html"
,username=username
,email=email
,osis=osis
,digit=digit
,loggedout=False
,invalid=True)
database.set_period(username,current_lunch,["","free","n/a","",""])
database.set_period(username,lunch,[str(lunch),"Cafe","Chi Kun Wang","ZLN5","0"+str(lunch)])
database.set_password(username,password)
database.set_email(username,email)
database.set_id(username,digit)
database.set_osis(username,osis)
return redirect(url_for('profile'))
return redirect(url_for('edit'))
def profile():
if not session.has_key('user'):
return redirect(url_for('about'))
username=session['user']
name=database.get_name(username)
osis=database.get_osis(username)
digits=database.get_id(username)
email=database.get_email(username)
schedule=database.get_schedule(username)
notif=database.get_notification(username)
if request.method=='GET':
return render_template("profile.html"
,name=name
,osis=osis
,digits=digits
,schedule=schedule
,email=email
,accept=notif["accept"]
,accepted=notif["accepted"]
)
elif request.method=="POST":
value=request.form["button"]
value=value.split(" ")
index=int(value[1])-1
if str(value[0])=="drop":
schedule=database.get_schedule(username)
clas=schedule[index]
if not (clas[1]=="free" or clas[1]=="Cafe"):
database.drop_period(username,clas[0])
schedule=database.get_schedule(username)
return render_template("profile.html"
,name=name
,osis=osis
,digits=digits
,schedule=schedule
,email=email
,accept=notif["accept"]
,accepted=notif["accepted"]
)
def visit(username=""):
if not session.has_key('user'):
return redirect(url_for('about'))
me=session['user']
if str(username)==str(me):
return redirect(url_for('profile'))
name=database.get_name(username)
osis=database.get_osis(username)
digits=database.get_id(username)
email=database.get_email(username)
schedule=database.get_schedule(username)
notif=database.get_notification(username)
if request.method=='GET':
return render_template("visit.html"
,name=name
,osis=osis
,digits=digits
,schedule=schedule
,email=email
,accept=notif["accept"]
,accepted=notif["accepted"]
)
def detect(self, path, student_name, course_name, block_id):
image_string = self.decode_json(path, course_name, block_id,
student_name)
frame = self.decode_image(image_string)
log.info("Line 2")
# Load the Haar-Cascade and
# retrieve Cascade to detect eyes from the same
eye_cascade_path = "/edx/app/edxapp/venvs/proctor/lib/python2.7/site-packages/suspicious_images/haarcascade_eye.xml"
eye_cascade = cv2.CascadeClassifier(eye_cascade_path)
# A boolean variable which stores if the person was cheating in the frame
cheat_bool = 0
# reduce the noise in image by blurring and the blurred image to
# original image so as to subtract local mean color image.
blurred = cv2.GaussianBlur(frame, (21, 21), 0)
weight_frame = cv2.addWeighted(frame, 1.75, blurred, -0.5, 0)
# Equalise histogram to improve the contrast (Removing glare)
# - Need to convert it to YUV image
yuv = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV)
yuv[:, :, 0] = cv2.equalizeHist(yuv[:, :, 0])
# reconvert the image to grayscale to be feeded to Clahe
bgr_frame = cv2.cvtColor(yuv, cv2.COLOR_YUV2BGR)
gray = cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2GRAY)
# again apply Contrast Limited Adaptive Histogram Equalisation
# can only work on grayscale images
clahe = cv2.createCLAHE(clipLimit=40.0, tileGridSize=(8, 8))
gray = clahe.apply(gray)
# load the haar-cascade to get the region of interest - eye_region
eyes = eye_cascade.detectMultiScale(gray,
scaleFactor=1.1,
minNeighbors=3)
# How many times to load the haar-cascade to increase effectiveness
sample_tries = 2
while sample_tries:
for (x, y, width, height) in eyes:
cv2.rectangle(frame, (x, y), (x + width, y + height),
(0, 255, 0), 2)
break
sample_tries -= 1
# if already eyes are recongnized - break out of loop
if len(eyes):
break
# If no eye_region is found, that would mean that either the person's face is not
# straightly oriented in front of webcam or he is cheating - In any case mark as suspicious
if len(eyes) == 0:
cheat_bool = 1
else:
# crop the right portion of the eyes to enable accurate detection of pupil,
# blur that region again to reduce noise.
gray_cropped_right = gray[eyes[0][1]:eyes[0][1] + eyes[0][3],
eyes[0][0] + eyes[0][2] / 2:eyes[0][0] +
eyes[0][2]]
cv2.GaussianBlur(gray_cropped_right, (3, 3), 16)
# use HoughCircles method to detect the circular shape in right part of eye (cropped earlier)
circles_right = cv2.HoughCircles(gray_cropped_right,
cv2.cv.CV_HOUGH_GRADIENT,
dp=5,
minDist=60,
param1=30,
param2=10,
minRadius=5,
maxRadius=20)
try:
# find the pupil-positions corresponding to the circle region
pupil_position = np.uint16(np.around(circles_right))
# form a small circle around the pupil-position
for (a, b, radius) in pupil_position[0]:
cv2.circle(frame, (a + x + width / 2, b + y), 2,
(255, 0, 0), 2)
except:
pass
# If the user is found to be cheating, the corresponding images can be saved in the directory
if cheat_bool == 1:
# TODO Increament this variable in database using some course_name/student_name
student_id = database.get_id(student_name)
database.update_table(student_id, course_name, "img_count", 1)
path_img = self.get_path(path, course_name, block_id,
student_name) + "/susp_img"
if not os.path.exists(path_img):
os.makedirs(path_img)
path_img += "/"
cv2.imwrite(path_img + str(len(os.listdir(path_img))) + ".jpg",
frame)
def tradingfloor():
if not session.has_key('user'):
return redirect(url_for("about"))
username=session['user']
name=database.get_name(username)
osis=database.get_osis(username)
digits=database.get_id(username)
email=database.get_email(username)
database.refresh_floor()
floor=database.get_floor()
if request.method=='GET':
return render_template("trading.html"
,name=name
,osis=osis
,digits=digits
,floor=floor
,email=email
,validate=False)
if request.method=='POST':
value=request.form["button"]
value=value.split(" ")
index=int(value[1])-1
req=floor[index]["request"]
period=int(req[0])-1
acceptername=username
postername=floor[index]['username']
schedule=database.get_schedule(username)[period]
validate=False
myself=False
illegaldel=False
try:
if not str(postername)==str(username):
if value[0]=="accept":
if l_equal(req,schedule):
database.accept_request(postername,acceptername,req)
return redirect(url_for("tradingfloor"))
else:
validate=True
elif value[0]=="delete":
validate=True
myself=False
illegaldel=True
else:
if value[0]=="accept":
validate=True
myself=True
else:
database.remove_request(username,req)
database.refresh_floor()
floor=database.get_floor()
return render_template("trading.html"
,name=name
,osis=osis
,digits=digits
,email=email
,floor=floor
,validate=validate
,myself=myself
,illegaldel=illegaldel)
except Exception:
return render_template("trading.html"
,name=name
,osis=osis
,digits=digits
,email=email
,floor=floor
,validate=True)
