def setUp(self):
'''Performed before every test'''
super(TestHelperMethods, self).setUp()
# user + facility
self.facility = Facility(name=self.FACILITY)
self.facility.save()
self.user1 = FacilityUser(username=self.USERNAME1, facility=self.facility)
self.user1.set_password(self.PASSWORD)
self.user1.save()
# insert some exercise activity
self.original_exerciselog1 = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user1)
self.original_exerciselog1.points = self.ORIGINAL_POINTS
self.original_exerciselog1.attempts = self.ORIGINAL_POINTS
self.original_exerciselog1.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog1.latest_activity_timestamp = self.TIMESTAMP_EARLY
self.original_exerciselog1.completion_timestamp = self.TIMESTAMP_EARLY
self.original_exerciselog1.struggling = False
self.original_exerciselog1.save()
self.original_exerciselog2 = ExerciseLog(exercise_id=self.EXERCISE_ID2, user=self.user1)
self.original_exerciselog2.points = self.ORIGINAL_POINTS
self.original_exerciselog2.attempts = self.ORIGINAL_POINTS
self.original_exerciselog2.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog2.latest_activity_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog2.completion_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog2.struggling = False
self.original_exerciselog2.save()
def setUp(self): '''Performed before every test''' super(TestNextMethods, self).setUp() self.EXERCISE_ID = self.content_exercises[0].id self.EXERCISE_ID2 = self.content_exercises[1].id self.EXERCISE_ID_STRUGGLE = self.content_exercises[2].id # create a facility and user that can be referred to in models across tests self.facility = Facility(name=self.FACILITY) self.facility.save() self.facilitygroup = FacilityGroup(name=self.GROUP, description="", facility=self.facility) self.facilitygroup.save() self.user1 = FacilityUser(username=self.USERNAME1, facility=self.facility, group=self.facilitygroup) self.user1.set_password(self.PASSWORD) self.user1.save() self.user2 = FacilityUser(username=self.USERNAME2, facility=self.facility, group=self.facilitygroup) self.user2.set_password(self.PASSWORD) self.user2.save() #user 1 - now add some mock data into exercise log self.original_exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user1) self.original_exerciselog.points = self.ORIGINAL_POINTS self.original_exerciselog.attempts = self.ORIGINAL_ATTEMPTS self.original_exerciselog.streak_progress = self.ORIGINAL_STREAK_PROGRESS self.original_exerciselog.latest_activity_timestamp = self.TIMESTAMP_EARLY self.original_exerciselog.completion_timestamp = self.TIMESTAMP_EARLY self.original_exerciselog.save() #user 2 self.original_exerciselog2 = ExerciseLog(exercise_id=self.EXERCISE_ID, user = self.user2, struggling=False) self.original_exerciselog2.points = self.ORIGINAL_POINTS self.original_exerciselog2.attempts = self.ORIGINAL_ATTEMPTS self.original_exerciselog2.streak_progress = self.ORIGINAL_STREAK_PROGRESS self.original_exerciselog2.latest_activity_timestamp = self.TIMESTAMP_EARLY self.original_exerciselog2.completion_timestamp = self.TIMESTAMP_EARLY self.original_exerciselog2.save() self.original_exerciselog2 = ExerciseLog(exercise_id=self.EXERCISE_ID2, user = self.user2, struggling=False) self.original_exerciselog2.points = self.ORIGINAL_POINTS self.original_exerciselog2.attempts = self.ORIGINAL_ATTEMPTS self.original_exerciselog2.streak_progress = self.ORIGINAL_STREAK_PROGRESS self.original_exerciselog2.latest_activity_timestamp = self.TIMESTAMP_LATER self.original_exerciselog2.completion_timestamp = self.TIMESTAMP_LATER self.original_exerciselog2.save() self.original_exerciselog3 = ExerciseLog(exercise_id=self.EXERCISE_ID_STRUGGLE, user = self.user2, struggling=True) self.original_exerciselog3.points = self.ORIGINAL_POINTS self.original_exerciselog3.attempts = self.ORIGINAL_POINTS #intentionally made larger to trigger struggling self.original_exerciselog3.streak_progress = 0 self.original_exerciselog3.attempts = 100 self.original_exerciselog3.latest_activity_timestamp = self.TIMESTAMP_STRUGGLE self.original_exerciselog3.completion_timestamp = self.TIMESTAMP_STRUGGLE self.original_exerciselog3.save()
def test_unit_switch(self):
"""
Tests that when a unit is switched a negative value gift_card
is created to nullify current user points.
"""
set_current_unit_settings_value(self.facility.id, 2)
exerciselog = ExerciseLog(user=self.student,
exercise_id="addition_1",
streak_progress=8,
attempts=8,
points=10,
complete=True)
exerciselog.save()
# Set to unit 3 to trigger signal.
set_current_unit_settings_value(self.facility.id, 3)
transactionlogs = StoreTransactionLog.objects.filter(
user=self.student,
context_id="2",
context_type="unit_points_reset",
item="gift_card")
self.assertTrue(len(transactionlogs) == 1)
for transactionlog in transactionlogs:
self.assertTrue(transactionlog.value == -exerciselog.points)
newexerciselog = ExerciseLog(user=self.student,
exercise_id="addition_2",
streak_progress=8,
attempts=8,
points=20,
complete=True)
newexerciselog.save()
# Move back a unit
set_current_unit_settings_value(self.facility.id, 2)
# Check that newexerciselog has been nullified
transactionlogs = StoreTransactionLog.objects.filter(
user=self.student,
context_id="3",
context_type="unit_points_reset",
item="gift_card")
self.assertTrue(len(transactionlogs) == 1)
for transactionlog in transactionlogs:
self.assertTrue(transactionlog.value == -newexerciselog.points)
# Check that the original transactionlog has been deleted
transactionlogs = StoreTransactionLog.objects.filter(
user=self.student,
context_id="2",
context_type="unit_points_reset",
item="gift_card")
self.assertTrue(len(transactionlogs) == 0)
def setUp(self):
"""Performed before every test"""
# a brand new user
self.facility = Facility(name=self.FACILITY)
self.facility.save()
self.user_with_no_activity = FacilityUser(username=self.USERNAME1,
facility=self.facility)
self.user_with_no_activity.set_password(self.PASSWORD)
self.user_with_no_activity.save()
# a user with valid exercises
self.user_with_activity = FacilityUser(username=self.USERNAME2,
facility=self.facility)
self.user_with_activity.set_password(self.PASSWORD)
self.user_with_activity.save()
# a user with invalid exercises
self.user_with_old_activity = FacilityUser(username=self.USERNAME3,
facility=self.facility)
self.user_with_old_activity.set_password(self.PASSWORD)
self.user_with_old_activity.save()
# add some exercises for second user (both incomplete)
self.original_exerciselog2 = ExerciseLog(exercise_id=self.EXERCISE_ID,
user=self.user_with_activity,
complete=False)
self.original_exerciselog2.points = self.ORIGINAL_POINTS
self.original_exerciselog2.attempts = self.ORIGINAL_POINTS
self.original_exerciselog2.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog2.latest_activity_timestamp = self.TIMESTAMP_EARLY
self.original_exerciselog2.completion_timestamp = self.TIMESTAMP_EARLY
self.original_exerciselog2.save()
self.original_exerciselog2 = ExerciseLog(exercise_id=self.EXERCISE_ID2,
user=self.user_with_activity,
complete=False)
self.original_exerciselog2.points = self.ORIGINAL_POINTS
self.original_exerciselog2.attempts = self.ORIGINAL_POINTS
self.original_exerciselog2.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog2.latest_activity_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog2.completion_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog2.save()
self.original_exerciselog3 = ExerciseLog(
exercise_id=self.INVALID_EXERCISE_ID,
user=self.user_with_old_activity,
complete=False)
self.original_exerciselog3.points = self.ORIGINAL_POINTS
self.original_exerciselog3.attempts = self.ORIGINAL_POINTS
self.original_exerciselog3.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog3.latest_activity_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog3.completion_timestamp = self.TIMESTAMP_LATER
self.original_exerciselog3.save()
def setUp(self):
'''Performed before every test'''
super(TestExploreMethods, self).setUp()
# create a facility and user that can be referred to in models across tests
self.facility = Facility(name=self.FACILITY)
self.facility.save()
self.user1 = FacilityUser(username=self.USERNAME1,
facility=self.facility)
self.user1.set_password(self.PASSWORD)
self.user1.save()
#add one exercise
self.original_exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID,
user=self.user1)
self.original_exerciselog.points = self.ORIGINAL_POINTS
self.original_exerciselog.attempts = self.ORIGINAL_ATTEMPTS
self.original_exerciselog.streak_progress = self.ORIGINAL_STREAK_PROGRESS
self.original_exerciselog.latest_activity_timestamp = self.TIMESTAMP
self.original_exerciselog.completion_timestamp = self.TIMESTAMP
self.original_exerciselog.save()
#create a request factory for later instantiation of request
self.factory = RequestFactory()
def before_scenario(context, scenario):
base_before_scenario(context, scenario)
if "with_progress" in context.tags:
user = FacilityUser.objects.get(username=context.user,
facility=getattr(
context, "facility", None))
exercises = random.sample(get_exercise_cache().keys(), 2)
for exercise in exercises:
log = ExerciseLog(
exercise_id=exercise,
user=user,
streak_progress=50,
attempts=15,
latest_activity_timestamp=datetime.datetime.now())
log.save()
context.exercises = exercises
videos = random.sample(get_content_cache().keys(), 2)
for video in videos:
log = VideoLog(youtube_id=video,
video_id=video,
user=user,
total_seconds_watched=100,
points=600,
latest_activity_timestamp=datetime.datetime.now())
log.save()
context.videos = videos
def create_playlist_progress(cls, user, quiz=True):
default_playlist = "g4_u401_p1"
playlist = [pl for pl in Playlist.all() if pl.id == default_playlist]
assert (
playlist[0].id == default_playlist
), "Unexpected playlist ID. Update tests to match new playlists.json"
playlist = playlist[0]
# Creating one specific entry for a specific item in the playlist
# Note (aron): The new nalanda playlists don't have any videos now
# So I commented those out
# VideoLog(**{
# "user": user,
# "video_id": "nFsQA2Zvy1o",
# "youtube_id": "nFsQA2Zvy1o",
# "total_seconds_watched": 290,
# "points": 750,
# "complete": True,
# }).save()
ExerciseLog(
**{
"user": user,
"exercise_id": "telling_time",
"streak_progress": 50,
"attempts": 25,
"points": 100,
"complete": False,
"struggling": True,
}).save()
if quiz:
QuizLog(
**{
"user": user,
"quiz": default_playlist,
"complete": True,
"attempts": 1,
"response_log": "[4]",
"total_correct": 4,
"total_number": 6,
}).save()
return playlist
def _setup(self, num_logs=50, **kwargs):
super(OneHundredRandomLogUpdates, self)._setup(**kwargs)
node_cache = get_node_cache()
try:
self.user = FacilityUser.objects.get(username=self.username)
except:
#take username from ExerciseLog
all_exercises = ExerciseLog.objects.all()
self.user = FacilityUser.objects.get(id=all_exercises[0].user_id)
print self.username, " not in FacilityUsers, using ", self.user
self.num_logs = num_logs
#give the platform a chance to cache the logs
ExerciseLog.objects.filter(user=self.user).delete()
for x in range(num_logs):
while True:
ex_idx = int(self.random.random() *
len(node_cache["Exercise"].keys()))
ex_id = node_cache["Exercise"].keys()[ex_idx]
if not ExerciseLog.objects.filter(user=self.user,
exercise_id=ex_id):
break
ex = ExerciseLog(user=self.user, exercise_id=ex_id)
ex.save()
self.exercise_list = ExerciseLog.objects.filter(user=self.user)
self.exercise_count = self.exercise_list.count()
VideoLog.objects.filter(user=self.user).delete()
for x in range(num_logs):
while True:
vid_idx = int(self.random.random() *
len(node_cache["Content"].keys()))
vid_id = node_cache["Content"].keys()[vid_idx]
if not VideoLog.objects.filter(user=self.user,
video_id=vid_id):
break
vid = VideoLog(user=self.user, video_id=vid_id)
vid.save()
self.video_list = VideoLog.objects.filter(user=self.user)
self.video_count = self.video_list.count()
def generate_fake_exercise_logs(facility_user=None,
topics=topics,
start_date=datetime.datetime.now() -
datetime.timedelta(days=30 * 6)):
"""Add exercise logs for the given topics, for each of the given users.
If no users are given, they are created.
If no topics exist, they are taken from the list at the top of this file.
By default, users start learning randomly between 6 months ago and now.
"""
own_device = Device.get_own_device()
date_diff = datetime.datetime.now() - start_date
exercise_logs = []
user_logs = []
# It's not a user: probably a list.
# Recursive case
if not hasattr(facility_user, "username"):
# It's NONE :-/ generate the users first!
if not facility_user:
(facility_user, _, _) = generate_fake_facility_users()
for topic in topics:
for user in facility_user:
(elogs,
ulogs) = generate_fake_exercise_logs(facility_user=user,
topics=[topic],
start_date=start_date)
exercise_logs.append(elogs)
user_logs.append(ulogs)
# Actually generate!
else:
# Get (or create) user type
try:
user_settings = json.loads(facility_user.notes)
except:
user_settings = sample_user_settings()
facility_user.notes = json.dumps(user_settings)
facility_user.save()
date_diff_started = datetime.timedelta(
seconds=datediff(date_diff, units="seconds") *
user_settings["time_in_program"]
) # when this user started in the program, relative to NOW
for topic in topics:
# Get all exercises related to the topic
exercises = get_topic_exercises(topic_id=topic)
# Problem:
# Not realistic for students to have lots of unfinished exercises.
# If they start them, they tend to get stuck, right?
#
# So, need to make it more probable that they will finish an exercise,
# and less probable that they start one.
#
# What we need is P(streak|started), not P(streak)
# Probability of doing any particular exercise
p_exercise = probability_of(qty="exercise",
user_settings=user_settings)
logging.debug(
"# exercises: %d; p(exercise)=%4.3f, user settings: %s\n" %
(len(exercises), p_exercise, json.dumps(user_settings)))
# of exercises is related to
for j, exercise in enumerate(exercises):
if random.random() > p_exercise:
continue
# Probability of completing this exercise, and .. proportion of attempts
p_completed = probability_of(qty="completed",
user_settings=user_settings)
p_attempts = probability_of(qty="attempts",
user_settings=user_settings)
attempts = int(random.random() * p_attempts * 30 +
10) # always enough to have completed
completed = (random.random() < p_completed)
if completed:
streak_progress = 100
else:
streak_progress = max(
0,
min(
90,
random.gauss(
100 * user_settings["speed_of_learning"], 20)))
streak_progress = int(floor(streak_progress / 10.)) * 10
points = streak_progress / 10 * 12 if completed else 0 # only get points when you master.
# Choose a rate of exercises, based on their effort level and speed of learning.
# Compute the latest possible start time.
# Then sample a start time between their start time
# and the latest possible start_time
rate_of_exercises = 0.66 * user_settings[
"effort_level"] + 0.33 * user_settings[
"speed_of_learning"] # exercises per day
time_for_attempts = min(
datetime.timedelta(days=rate_of_exercises * attempts),
date_diff_started) # protect with min
time_delta_completed = datetime.timedelta(
seconds=random.randint(
int(datediff(time_for_attempts, units="seconds")),
int(datediff(date_diff_started, units="seconds"))))
date_completed = datetime.datetime.now() - time_delta_completed
# Always create new
logging.info(
"Creating exercise log: %-12s: %-25s (%d points, %d attempts, %d%% streak on %s)"
% (
facility_user.first_name,
exercise["name"],
points,
attempts,
streak_progress,
date_completed,
))
try:
elog = ExerciseLog.objects.get(
user=facility_user, exercise_id=exercise["name"])
except ExerciseLog.DoesNotExist:
elog = ExerciseLog(
user=facility_user,
exercise_id=exercise["name"],
attempts=int(attempts),
streak_progress=streak_progress,
points=int(points),
complete=completed,
completion_timestamp=date_completed,
)
try:
elog.save(update_userlog=False)
# For now, make all attempts on an exercise into a single UserLog.
seconds_per_attempt = 10 * (
1 + user_settings["speed_of_learning"] *
random.random())
time_to_navigate = 15 * (0.5 + random.random()
) #between 7.5s and 22.5s
time_to_logout = 5 * (0.5 + random.random()
) # between 2.5 and 7.5s
if UserLog.is_enabled():
ulog = UserLog(
user=facility_user,
activity_type=1,
start_datetime=date_completed -
datetime.timedelta(seconds=int(
attempts * seconds_per_attempt +
time_to_navigate)),
end_datetime=date_completed +
datetime.timedelta(seconds=time_to_logout),
last_active_datetime=date_completed,
)
ulog.save()
user_logs.append(ulog)
except Exception as e:
logging.error("Error saving exercise log: %s" % e)
continue
exercise_logs.append(elog)
return (exercise_logs, user_logs)
