def answers_with_max_upvotes(limit=20):
answers = Answer.select().order_by(Answer.upvotes.desc()).limit(limit)
print('Top %d Most upvoted answers - ' % limit)
total_views = 0
total_upvotes = 0
writer = {}
for answer in answers:
u = ANSWER_URL.format(answer.question, answer.writer_uname).encode("UTF-8")
print("{0} ({1}, {2}, {3})".format(u, answer.upvotes,
answer.views, answer.views / answer.upvotes))
total_upvotes += answer.upvotes
total_views += answer.views
writer[answer.writer_uname] = writer.get(answer.writer_uname, 0) + 1
print("Total Views = {0}".format(total_views))
print("Total Upvotes = {0}".format(total_upvotes))
print("Average Views = {0}".format(total_views / limit))
print("Average Upvotes = {0}".format(total_upvotes / limit))
avg_up = (float(total_upvotes) / float(total_views)) * 100
print("On an average %.2f viewers upvoted the answer" % avg_up)
# Writer Stat
with open('top_writers_2016.json', 'r') as fstream:
writer_list = json.load(fstream)
notw = 0
for w in writer_list:
if w['uname'] in writer:
notw += 1
print("{0} People on this list are Top Writers(2016)".format(notw))
sorted_writer = sorted(writer.items(), key=operator.itemgetter(1),
reverse=True)
print("Total number of unique writers is {0}".format(len(sorted_writer)))
total_followers = 0
total_answers = 0
for tup in sorted_writer:
profile = Profile.get(Profile.uname == tup[0])
total_followers += int(profile.followers)
total_answers += int(profile.total_answers)
print("Average number of followers of each {0}".format(
total_followers / len(sorted_writer)))
print("Average number of answers written by each is {}".format(
total_answers / len(sorted_writer)))
# Plotting Graph
figure = mpplt.figure(figsize=(10, 10))
plt = figure.add_subplot(1, 1, 1)
plt.set_title("Views vs Upvote")
plt.plot([answer.views for answer in answers],
[answer.upvotes for answer in answers],
'.', color='green')
plt.set_xlabel('Views')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
plt.set_xlim([0, 1500000])
plt.set_ylim([10000, 25000])
plt.set_ylabel('Upvotes')
figure.savefig('view_upvote.png', facecolor='white', edgecolor='black')
def gateway():
if is_logged_in():
return redirect(url_for("index"))
err = ""
if request.method == "POST":
try:
email = fix(request.form["email"], "@\.")
username = fix(request.form["username"])
password = fix(request.form["password"])
confirm = fix(request.form["confirm"])
if validate_email(email):
if not Profile.already_exists(email=email):
if validate_username(username):
if not Profile.already_exists(username=username):
if password == confirm and password != "":
Profile.insert_profile(email, username,
hash_password(password))
return render_template("gateway.html",
title="Gateway")
else:
err = "Invalid Passwords Entered"
else:
err = "Username Already Exists"
else:
err = "Invalid Username Entered"
else:
err = "Email Already Exists"
else:
err = "Invalid Email Entered"
except Exception as e:
email = fix(request.form["email"], "@\.")
password = fix(request.form["password"])
if email is not None and password is not None:
if Profile.already_exists(email=email):
expected_pass = Profile.get_password_hash(email)
salt, pass_hash = str(expected_pass).split("$")
if expected_pass == str(hash_password(password, salt)):
session["email"] = email
session["username"] = Profile.get("username",
email=email)
return redirect(url_for("index"))
else:
err = "Incorrect Email or Password"
else:
err = "Incorrect Email"
else:
err = "Fill in all blanks"
reg = True if request.args.get("reg") == "true" else False
return render_template("gateway.html",
title="Gateway",
indent=False,
reg=reg,
err=err)
def answers_with_max_upvotes(limit=20):
answers = Answer.select().order_by(Answer.upvotes.desc()).limit(limit)
print("Top %d Most upvoted answers - " % limit)
total_views = 0
total_upvotes = 0
writer = {}
for answer in answers:
u = ANSWER_URL.format(answer.question, answer.writer_uname).encode("UTF-8")
print("{0} ({1}, {2}, {3})".format(u, answer.upvotes, answer.views, answer.views / answer.upvotes))
total_upvotes += answer.upvotes
total_views += answer.views
writer[answer.writer_uname] = writer.get(answer.writer_uname, 0) + 1
print("Total Views = {0}".format(total_views))
print("Total Upvotes = {0}".format(total_upvotes))
print("Average Views = {0}".format(total_views / limit))
print("Average Upvotes = {0}".format(total_upvotes / limit))
avg_up = (float(total_upvotes) / float(total_views)) * 100
print("On an average %.2f viewers upvoted the answer" % avg_up)
# Writer Stat
with open("top_writers_2016.json", "r") as fstream:
writer_list = json.load(fstream)
notw = 0
for w in writer_list:
if w["uname"] in writer:
notw += 1
print("{0} People on this list are Top Writers(2016)".format(notw))
sorted_writer = sorted(writer.items(), key=operator.itemgetter(1), reverse=True)
print("Total number of unique writers is {0}".format(len(sorted_writer)))
total_followers = 0
total_answers = 0
for tup in sorted_writer:
profile = Profile.get(Profile.uname == tup[0])
total_followers += int(profile.followers)
total_answers += int(profile.total_answers)
print("Average number of followers of each {0}".format(total_followers / len(sorted_writer)))
print("Average number of answers written by each is {}".format(total_answers / len(sorted_writer)))
# Plotting Graph
figure = mpplt.figure(figsize=(10, 10))
plt = figure.add_subplot(1, 1, 1)
plt.set_title("Views vs Upvote")
plt.plot([answer.views for answer in answers], [answer.upvotes for answer in answers], ".", color="green")
plt.set_xlabel("Views")
plt.ticklabel_format(style="sci", axis="x", scilimits=(0, 0))
plt.ticklabel_format(style="sci", axis="y", scilimits=(0, 0))
plt.set_xlim([0, 1500000])
plt.set_ylim([10000, 25000])
plt.set_ylabel("Upvotes")
figure.savefig("view_upvote.png", facecolor="white", edgecolor="black")
def answers_with_max_upvotes(limit=20):
answers = Answer.select().order_by(Answer.upvotes.desc()).limit(limit)
print('Top %d Most upvoted answers - ' % limit)
total_views = 0
total_upvotes = 0
writer = {}
max_views = 0
for answer in answers:
u = ANSWER_URL.format(answer.question, answer.writer_uname).encode("UTF-8")
print("{0} ({1}, {2}, {3})".format(u, answer.upvotes,
answer.views, answer.views / answer.upvotes))
total_upvotes += answer.upvotes
total_views += answer.views
writer[answer.writer_uname] = writer.get(answer.writer_uname, 0) + 1
if answer.views > max_views :
max_views = answer.views
print "Max - ", u, answer.views
print("Total Views = {0}".format(total_views))
print("Total Upvotes = {0}".format(total_upvotes))
print("Average Views = {0}".format(total_views / limit))
print("Average Upvotes = {0}".format(total_upvotes / limit))
avg_up = (float(total_upvotes) / float(total_views)) * 100
print("On an average %.2f viewers upvoted the answer" % avg_up)
# Writer Stat
with open('top_writers_2016.json', 'r') as fstream:
writer_list = json.load(fstream)
notw = 0
for w in writer_list:
if w['uname'] in writer:
notw += 1
print("{0} People on this list are Top Writers(2016)".format(notw))
sorted_writer = sorted(writer.items(), key=operator.itemgetter(1),
reverse=True)
print sorted_writer[:10]
print("Total number of unique writers is {0}".format(len(sorted_writer)))
total_followers = 0
total_answers = 0
for tup in sorted_writer:
profile = Profile.get(Profile.uname == tup[0])
total_followers += int(profile.followers)
total_answers += int(profile.total_answers)
print("Average number of followers of each {0}".format(
total_followers / len(sorted_writer)))
print("Average number of answers written by each is {}".format(
total_answers / len(sorted_writer)))
# Plotting Graph
figure = plt.figure(figsize=(10, 10))
splt = figure.add_subplot(1, 1, 1)
splt.set_title("Views vs Upvote")
splt.plot([answer.views for answer in answers],
[answer.upvotes for answer in answers],
'.', color='green')
splt.set_xlabel('Views')
splt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
splt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
splt.set_xlim([0, 1500000])
splt.set_ylim([10000, 25000])
splt.set_ylabel('Upvotes')
figure.tight_layout()
figure.savefig('view_upvote.png', facecolor='white', edgecolor='black')
