本文整理汇总了Python中main.models.ExerciseLog.save方法的典型用法代码示例。如果您正苦于以下问题:Python ExerciseLog.save方法的具体用法?Python ExerciseLog.save怎么用?Python ExerciseLog.save使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类main.models.ExerciseLog
的用法示例。
在下文中一共展示了ExerciseLog.save方法的7个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _setup
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
def _setup(self, num_logs=50, **kwargs):
super(OneHundredRandomLogUpdates, self)._setup(**kwargs)
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["Video"].keys()))
vid_id = NODE_CACHE["Video"].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()
示例2: handle
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
def handle(self, *args, **options):
if settings.CENTRAL_SERVER:
raise CommandError("Don't run this on the central server!! Data not linked to any zone on the central server is BAD.")
facility = Facility(name="Wilson Elementary")
facility.save()
group1 = FacilityGroup(facility=facility, name="Class 4E")
group1.full_clean()
group1.save()
group2 = FacilityGroup(facility=facility, name="Class 5B")
group2.full_clean()
group2.save()
facilityusers = []
for i in range(0,10):
newuser1 = FacilityUser(facility=facility, username=usernames[i], first_name=firstnames[i], last_name=lastnames[i], group=group1)
if settings.DEBUG:
newuser1.set_password(hashed_password = hashed_blah)#"blah")
else:
newuser1.set_password("blah")
newuser1.full_clean()
newuser1.save()
facilityusers.append(newuser1)
newuser2 = FacilityUser(facility=facility, username=usernames[i+10], first_name=firstnames[i+10], last_name=lastnames[i+10], group=group2)
if settings.DEBUG:
newuser2.set_password(hashed_password = hashed_blah)#"blah")
else:
newuser2.set_password("blah")
newuser2.full_clean()
newuser2.save()
facilityusers.append(newuser2)
for topic in topics:
exercises = get_topic_exercises(topic_id=topic)
exercises_a = [random.random() for i in range(len(exercises))]
exercises_b = [float(i) / len(exercises) for i in range(len(exercises))]
for i, user in enumerate(facilityusers):
for j, exercise in enumerate(exercises):
sig = sigmoid(proficiency[i], exercises_a[j], exercises_b[j])
if random.random() < 0.05 * (1-sig) and j > 2:
break
if random.random() < 0.15:
continue
attempts = random.random() * 40 + 10
streak_progress = max(10, min(100, 10 * random.random() + 10 * attempts * sig))
print int(attempts), int(streak_progress), user.first_name, exercise["name"]
log = ExerciseLog(user=user, exercise_id=exercise["name"], attempts=attempts, streak_progress=streak_progress)
log.full_clean()
log.save()
示例3: test_exerciselog_collision
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
def test_exerciselog_collision(self):
# create a new exercise log with the same exercise_id and user, but different points/attempts
exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user)
exerciselog.points = self.NEW_POINTS
exerciselog.attempts = self.NEW_ATTEMPTS
# try saving the new ExerciseLog: this is where the collision will happen, hopefully leading to a merge
exerciselog.save()
# get a new reference to the existing ExerciseLog
exerciselog2 = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# make sure the ExerciseLog has been properly merged
self.assertEqual(exerciselog.points, max(self.ORIGINAL_POINTS, self.NEW_POINTS), "The ExerciseLog's points were not properly merged.")
self.assertEqual(exerciselog.attempts, max(self.ORIGINAL_ATTEMPTS, self.NEW_ATTEMPTS), "The ExerciseLog's attempts have already changed.")
示例4: handle
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
def handle(self, *args, **options):
facility = Facility(name="Wilson Elementary")
facility.save()
group1 = FacilityGroup(facility=facility, name="Class 4E")
group1.full_clean()
group1.save()
group2 = FacilityGroup(facility=facility, name="Class 5B")
group2.full_clean()
group2.save()
facilityusers = []
for i in range(0,10):
newuser1 = FacilityUser(facility=facility, username=usernames[i], first_name=firstnames[i], last_name=lastnames[i], group=group1)
newuser1.set_password("blah")
newuser1.full_clean()
newuser1.save()
facilityusers.append(newuser1)
newuser2 = FacilityUser(facility=facility, username=usernames[i+10], first_name=firstnames[i+10], last_name=lastnames[i+10], group=group2)
newuser2.set_password("blah")
newuser2.full_clean()
newuser2.save()
facilityusers.append(newuser2)
for topic in topics:
exercises = json.load(open("./static/data/topicdata/" + topic + ".json","r"))
exercises = sorted(exercises, key = lambda k: (k["h_position"], k["v_position"]))
exercises_a = [random.random() for i in range(len(exercises))]
exercises_b = [float(i) / len(exercises) for i in range(len(exercises))]
for i, user in enumerate(facilityusers):
for j, exercise in enumerate(exercises):
sig = sigmoid(proficiency[i], exercises_a[j], exercises_b[j])
if random.random() < 0.05 * (1-sig) and j > 2:
break
if random.random() < 0.15:
continue
attempts = random.random() * 40 + 10
streak_progress = max(10, min(100, 10 * random.random() + 10 * attempts * sig))
print int(attempts), int(streak_progress), user.first_name, exercise["name"]
log = ExerciseLog(user=user, exercise_id=exercise["name"], attempts=attempts, streak_progress=streak_progress)
log.full_clean()
log.save()
示例5: generate_fake_exercise_logs
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
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.
"""
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),
completion_timestamp=date_completed,
completion_counter=datediff(date_completed, start_date, units="seconds"),
#.........这里部分代码省略.........
示例6: TestSaveExerciseLog
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
class TestSaveExerciseLog(KALiteTestCase):
ORIGINAL_POINTS = 37
ORIGINAL_ATTEMPTS = 3
ORIGINAL_STREAK_PROGRESS = 20
NEW_POINTS_LARGER = 22
NEW_ATTEMPTS = 5
NEW_STREAK_PROGRESS_LARGER = 10
NEW_POINTS_SMALLER = 0
NEW_STREAK_PROGRESS_SMALLER = 0
EXERCISE_ID = "number_line"
EXERCISE_ID2 = "radius_diameter_and_circumference"
USERNAME = "testuser"
PASSWORD = "dummy"
def setUp(self):
super(TestSaveExerciseLog, self).setUp()
# create a facility and user that can be referred to in models across tests
self.facility = Facility(name="Test Facility")
self.facility.save()
self.user = FacilityUser(username=self.USERNAME, facility=self.facility)
self.user.set_password(self.PASSWORD)
self.user.save()
# create an initial ExerciseLog instance so we have something to update later
self.original_exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user)
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.save()
def test_new_exerciselog(self):
# make sure the target exercise log does not already exist
exerciselogs = ExerciseLog.objects.filter(exercise_id=self.EXERCISE_ID2, user__username=self.USERNAME)
self.assertEqual(exerciselogs.count(), 0, "The target exercise log to be newly created already exists")
c = KALiteClient()
# login
success = c.login(username=self.USERNAME, password=self.PASSWORD, facility=self.facility.id)
self.assertTrue(success, "Was not able to login as the test user")
# save a new exercise log
result = c.save_exercise_log(
exercise_id=self.EXERCISE_ID2,
streak_progress=self.NEW_STREAK_PROGRESS_LARGER,
points=self.NEW_POINTS_LARGER,
correct=True,
attempts=self.NEW_ATTEMPTS,
)
self.assertEqual(result.status_code, 200, "An error (%d) was thrown while saving the exercise log." % result.status_code)
# get a reference to the newly created ExerciseLog
exerciselog = ExerciseLog.objects.get(exercise_id=self.EXERCISE_ID2, user__username=self.USERNAME)
# make sure the ExerciseLog was properly created
self.assertEqual(exerciselog.points, self.NEW_POINTS_LARGER, "The ExerciseLog's points were not saved correctly.")
self.assertEqual(exerciselog.streak_progress, self.NEW_STREAK_PROGRESS_LARGER, "The ExerciseLog's streak progress was not saved correctly.")
self.assertEqual(exerciselog.attempts, self.NEW_ATTEMPTS, "The ExerciseLog did not have the correct number of attempts (%d)." % self.NEW_ATTEMPTS)
def test_update_exerciselog(self):
# get a new reference to the existing ExerciseLog
exerciselog = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# make sure the ExerciseLog hasn't already been changed
self.assertEqual(exerciselog.points, self.ORIGINAL_POINTS, "The ExerciseLog's points have already changed.")
self.assertEqual(exerciselog.streak_progress, self.ORIGINAL_STREAK_PROGRESS, "The ExerciseLog's streak progress already changed.")
self.assertEqual(exerciselog.attempts, self.ORIGINAL_ATTEMPTS, "The ExerciseLog's attempts have already changed.")
c = KALiteClient()
# login
success = c.login(username=self.USERNAME, password=self.PASSWORD, facility=self.facility.id)
self.assertTrue(success, "Was not able to login as the test user")
# save a new record onto the exercise log, with a correct answer (increasing the points and streak)
result = c.save_exercise_log(
exercise_id=self.EXERCISE_ID,
streak_progress=self.NEW_STREAK_PROGRESS_LARGER,
points=self.NEW_POINTS_LARGER,
correct=True,
attempts=self.NEW_ATTEMPTS,
)
self.assertEqual(result.status_code, 200, "An error (%d) was thrown while saving the exercise log." % result.status_code)
# get a reference to the updated ExerciseLog
exerciselog = ExerciseLog.objects.get(exercise_id=self.EXERCISE_ID, user__username=self.USERNAME)
# make sure the ExerciseLog was properly updated
self.assertEqual(exerciselog.points, self.NEW_POINTS_LARGER, "The ExerciseLog's points were not updated correctly.")
self.assertEqual(exerciselog.streak_progress, self.NEW_STREAK_PROGRESS_LARGER, "The ExerciseLog's streak progress was not updated correctly.")
self.assertEqual(exerciselog.attempts, self.NEW_ATTEMPTS, "The ExerciseLog did not have the correct number of attempts (%d)." % self.NEW_ATTEMPTS)
# save a new record onto the exercise log, with an incorrect answer (decreasing the points and streak)
result = c.save_exercise_log(
exercise_id=self.EXERCISE_ID,
streak_progress=self.NEW_STREAK_PROGRESS_SMALLER,
#.........这里部分代码省略.........
示例7: TestExerciseLogs
# 需要导入模块: from main.models import ExerciseLog [as 别名]
# 或者: from main.models.ExerciseLog import save [as 别名]
class TestExerciseLogs(KALiteTestCase):
ORIGINAL_POINTS = 37
ORIGINAL_ATTEMPTS = 3
NEW_POINTS = 22
NEW_ATTEMPTS = 5
EXERCISE_ID = "number_line"
def setUp(self):
super(TestExerciseLogs, self).setUp()
# create a facility and user that can be referred to in models across tests
self.facility = Facility(name="Test Facility")
self.facility.save()
self.user = FacilityUser(username="testuser", facility=self.facility)
self.user.set_password("dumber")
self.user.save()
# create an initial ExerciseLog instance so we have something to collide with later
self.original_exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user)
self.original_exerciselog.points = self.ORIGINAL_POINTS
self.original_exerciselog.attempts = self.ORIGINAL_ATTEMPTS
self.original_exerciselog.save()
# get a new reference to the existing ExerciseLog
exerciselog = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# make sure the ExerciseLog was saved as intended
self.assertEqual(exerciselog.points, self.ORIGINAL_POINTS, "The ExerciseLog's points have already changed.")
self.assertEqual(exerciselog.attempts, self.ORIGINAL_ATTEMPTS, "The ExerciseLog's attempts have already changed.")
def test_exerciselog_update(self):
# get a new reference to the existing ExerciseLog
exerciselog = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# update the ExerciseLog
exerciselog.points = self.NEW_POINTS
exerciselog.attempts = self.NEW_ATTEMPTS
exerciselog.save()
# get a new reference to the existing ExerciseLog
exerciselog2 = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# make sure the ExerciseLog was updated
self.assertEqual(exerciselog2.points, self.NEW_POINTS, "The ExerciseLog's points were not updated.")
self.assertEqual(exerciselog2.attempts, self.NEW_ATTEMPTS, "The ExerciseLog's attempts were not updated.")
@unittest.skip("Auto-merging is not yet automatic, so skip this")
def test_exerciselog_collision(self):
# create a new exercise log with the same exercise_id and user, but different points/attempts
exerciselog = ExerciseLog(exercise_id=self.EXERCISE_ID, user=self.user)
exerciselog.points = self.NEW_POINTS
exerciselog.attempts = self.NEW_ATTEMPTS
# try saving the new ExerciseLog: this is where the collision will happen, hopefully leading to a merge
exerciselog.save()
# get a new reference to the existing ExerciseLog
exerciselog2 = ExerciseLog.objects.get(id=self.original_exerciselog.id)
# make sure the ExerciseLog has been properly merged
self.assertEqual(exerciselog.points, max(self.ORIGINAL_POINTS, self.NEW_POINTS), "The ExerciseLog's points were not properly merged.")
self.assertEqual(exerciselog.attempts, max(self.ORIGINAL_ATTEMPTS, self.NEW_ATTEMPTS), "The ExerciseLog's attempts have already changed.")