Python ExerciseLog.save方法代碼示例

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
    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()

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
    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()

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
    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.")

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
 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()

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
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"),
#.........這裏部分代碼省略.........

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
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,
#.........這裏部分代碼省略.........

# 需要導入模塊: from main.models import ExerciseLog [as 別名]
# 或者: from main.models.ExerciseLog import save [as 別名]
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.")