Hexor/fesmoo_perdoliq
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Improve perdoliq class

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This commit is contained in:
AB
2018-05-11 18:44:38 +03:00
parent fa276a62cc
commit 5b04a2c440
2 changed files with 53 additions and 38 deletions
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39
main.py
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@ -17,6 +17,7 @@ class Main:
self.name = ''
self.subjects = {}
# make auth
def auth(self):
r = requests.get(settings.fesmu_root_url)
for c in r.cookies:
@ -43,6 +44,9 @@ class Main:
'', soup.find(id="ctl00_MainContent_Label1").get_text())[14:]
logging.info('Current user is %s', self.name)
return self.SessionId
# update and return list of subjs and tests
def get_tests(self):
r = requests.get(
settings.fesmu_root_url + 'studtst1.aspx',
@ -70,7 +74,7 @@ class Main:
test.get_text()))
i += 1
#print(self.subjects)
return self.subjects
def start_test(self, pred, test):
# start test
@ -161,6 +165,7 @@ class Main:
(q_number, answers))
return answers
# mark answers into requested question
def answer(self, q_number, answers):
def gen_a(a_count, answers):
a = {}
@ -205,6 +210,7 @@ class Main:
logging.info("Send correct answer for %s. It's %s" % (q_number,
answers))
# commit test
def finish_test(self):
requests.post(
settings.fesmu_root_url + 'studtst2.aspx',
@ -215,44 +221,37 @@ class Main:
data=settings.scam_data_10,
cookies={'ASP.NET_SessionId': self.SessionId})
def resolve(self, subj, test, accuracy):
def resolve(self, subj, test, accuracy, is_delayed=False):
# renew auth
self.auth()
accuracy = int(accuracy)
# chance to override accuracy
accuracy_new = input('Accuracy level [%s]: ' % accuracy)
if accuracy_new != '':
try:
accuracy = int(accuracy_new)
except:
pass
is_delayd = input('Wait random time per question and auto commit? [y/N]: ')
if is_delayd == 'y' or is_delayd == 'Y':
is_delayd = True
else:
is_delayd = False
# get count of questions
q_count = self.start_test(subj, test)
def sleep_rand():
delay = randint(20, 40)
logging.info("Going to wait %s sec for this question." % delay)
time.sleep(delay)
# applying accuracy here. trying to make resulting
# accuracy no less than requested.
# accuracy NO LESSthan requested.
spoil_count = int(q_count - q_count * (accuracy / 100))
if int(spoil_count / q_count * (-100) + 100) < accuracy:
spoil_count -= 1
# skip random `spoil_count` questions.
# Choose questions which going to be skipped
skip_this = []
for i in range(0, spoil_count):
skip_this.append(randint(1, q_count + 1))
# start resolve test
for i in range(1, q_count + 1):
if is_delayd == True:
if is_delayed == True:
sleep_rand()
if i not in skip_this:
prediction = self.predict(i)
self.answer(i, prediction)
if is_delayd == True:
self.finish_test()
# make autocommit
if is_delayed == True:
self.finish_test()