Python VideoLog.save方法代码示例

# 需要导入模块: from main.models import VideoLog [as 别名]
# 或者: from main.models.VideoLog 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()

# 需要导入模块: from main.models import VideoLog [as 别名]
# 或者: from main.models.VideoLog import save [as 别名]
    def test_videolog_collision(self):

        # create a new video log with the same youtube_id and user, but different points/total seconds watched
        videolog = VideoLog(video_id=self.VIDEO_ID, youtube_id=self.YOUTUBE_ID, user=self.user)
        videolog.points = self.NEW_POINTS
        videolog.total_seconds_watched = self.NEW_SECONDS_WATCHED

        # try saving the new VideoLog: this is where the collision will happen, hopefully leading to a merge
        videolog.save()

        # get a new reference to the existing VideoLog
        videolog2 = VideoLog.objects.get(id=self.original_videolog.id)

        # make sure the VideoLog has been properly merged
        self.assertEqual(videolog.points, max(self.ORIGINAL_POINTS, self.NEW_POINTS), "The VideoLog's points were not properly merged.")
        self.assertEqual(videolog.total_seconds_watched, max(self.ORIGINAL_ATTEMPTS, self.NEW_SECONDS_WATCHED), "The VideoLog's total seconds watched have already changed.")

# 需要导入模块: from main.models import VideoLog [as 别名]
# 或者: from main.models.VideoLog import save [as 别名]
def generate_fake_video_logs(facility_user=None, topics=topics, start_date=datetime.datetime.now() - datetime.timedelta(days=30 * 6)):
    """Add video 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."""

    date_diff = datetime.datetime.now() - start_date
    video_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:
                video_logs.append(generate_fake_video_logs(facility_user=user, topics=[topic], start_date=start_date))

    # Actually generate!
    else:
        # First, make videos for the associated logs

        # Then make some unassociated videos, to simulate both exploration
        #   and watching videos without finishing.
        # 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:
            videos = get_topic_videos(topic_id=topic)

            exercises = get_topic_exercises(topic_id=topic)
            exercise_ids = [ex["id"] if "id" in ex else ex['name'] for ex in exercises]
            exercise_logs = ExerciseLog.objects.filter(user=facility_user, id__in=exercise_ids)

            # Probability of watching a video, irrespective of the context
            p_video_outer = probability_of("video", user_settings=user_settings)
            logging.debug("# videos: %d; p(videos)=%4.3f, user settings: %s\n" % (len(videos), p_video_outer, json.dumps(user_settings)))

            for video in videos:
                p_completed = probability_of("completed", user_settings=user_settings)

                # If we're just doing random videos, fine.
                # If these videos relate to exercises, then suppress non-exercise-related videos
                #   for this user.
                p_video = p_video_outer  # start with the context-free value
                did_exercise = False
                if exercise_logs.count() > 0:
                    # 5x less likely to watch a video if you haven't done the exercise,
                    if "related_exercise" not in video:
                        p_video /= 5  # suppress

                    # 5x more likely to watch a video if they've done the exercise
                    # 2x more likely to have finished it.
                    else:
                        exercise_log = ExerciseLog.objects.filter(user=facility_user, id=video["related_exercise"]["id"])
                        did_exercise = exercise_log.count() != 0
                        if did_exercise:
                            p_video *= 5
                            p_completed *= 2

                # Do the sampling
                if p_video < random.random():
                    continue
                    # didn't watch it
                elif p_completed > random.random():
                    pct_completed = 100.
                else:      # Slower students will use videos more.  Effort also important.
                    pct_completed = 100. * min(1., sqrt(random.random() * sqrt(user_settings["effort_level"] * user_settings["time_in_program"] / sqrt(user_settings["speed_of_learning"]))))
                # Compute quantities based on sample
                total_seconds_watched = int(video["duration"] * pct_completed / 100.)
                points = int(750 * pct_completed / 100.)

                # Choose a rate of videos, based on their effort level.
                #   Compute the latest possible start time.
                #   Then sample a start time between their start time
                #   and the latest possible start_time
                if did_exercise:
                    # More jitter if you learn fast, less jitter if you try harder (more diligent)
                    date_jitter = datetime.timedelta(days=max(0, random.gauss(1, user_settings["speed_of_learning"] / user_settings["effort_level"])))
                    date_completed = exercise_log[0].completion_timestamp - date_jitter
                else:
                    rate_of_videos = 0.66 * user_settings["effort_level"] + 0.33 * user_settings["speed_of_learning"]  # exercises per day
                    time_for_watching = total_seconds_watched
                    time_delta_completed = datetime.timedelta(seconds=random.randint(int(time_for_watching), int(datediff(date_diff_started, units="seconds"))))
                    date_completed = datetime.datetime.now() - time_delta_completed

                try:
                    log = VideoLog.objects.get(user=facility_user, youtube_id=video["youtube_id"])
                except VideoLog.DoesNotExist:

                    logging.info("Creating video log: %-12s: %-45s (%4.1f%% watched, %d points)%s" % (
                        facility_user.first_name,
#.........这里部分代码省略.........

# 需要导入模块: from main.models import VideoLog [as 别名]
# 或者: from main.models.VideoLog import save [as 别名]
class TestSaveVideoLog(KALiteTestCase):
    
    ORIGINAL_POINTS = 84
    ORIGINAL_SECONDS_WATCHED = 32
    NEW_POINTS = 32
    NEW_SECONDS_WATCHED = 15
    YOUTUBE_ID = "aNqG4ChKShI"
    YOUTUBE_ID2 = "b22tMEc6Kko"
    USERNAME = "testuser"
    PASSWORD = "dummy"
    
    def setUp(self):
        super(TestSaveVideoLog, 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 VideoLog instance so we have something to update later
        self.original_videolog = VideoLog(youtube_id=self.YOUTUBE_ID, user=self.user)
        self.original_videolog.points = self.ORIGINAL_POINTS
        self.original_videolog.total_seconds_watched = self.ORIGINAL_SECONDS_WATCHED
        self.original_videolog.save()

    def test_new_videolog(self):
        
        # make sure the target video log does not already exist
        videologs = VideoLog.objects.filter(youtube_id=self.YOUTUBE_ID2, user__username=self.USERNAME)
        self.assertEqual(videologs.count(), 0, "The target video 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 video log
        result = c.save_video_log(
            youtube_id=self.YOUTUBE_ID2,
            total_seconds_watched=self.ORIGINAL_SECONDS_WATCHED,
            points=self.NEW_POINTS,
        )
        self.assertEqual(result.status_code, 200, "An error (%d) was thrown while saving the video log." % result.status_code)
        
        # get a reference to the newly created VideoLog
        videolog = VideoLog.objects.get(youtube_id=self.YOUTUBE_ID2, user__username=self.USERNAME)
        
        # make sure the VideoLog was properly created
        self.assertEqual(videolog.points, self.NEW_POINTS, "The VideoLog's points were not saved correctly.")
        self.assertEqual(videolog.total_seconds_watched, self.ORIGINAL_SECONDS_WATCHED, "The VideoLog's seconds watched was not saved correctly.")

    def test_update_videolog(self):

        # get a new reference to the existing VideoLog
        videolog = VideoLog.objects.get(id=self.original_videolog.id)
        
        # make sure the VideoLog hasn't already been changed
        self.assertEqual(videolog.points, self.ORIGINAL_POINTS, "The VideoLog's points have already changed.")
        self.assertEqual(videolog.total_seconds_watched, self.ORIGINAL_SECONDS_WATCHED, "The VideoLog's seconds watched 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 video log, with a correct answer (increasing the points and streak)
        result = c.save_video_log(
            youtube_id=self.YOUTUBE_ID,
            total_seconds_watched=self.ORIGINAL_SECONDS_WATCHED + self.NEW_SECONDS_WATCHED,
            points=self.ORIGINAL_POINTS + self.NEW_POINTS,
        )
        self.assertEqual(result.status_code, 200, "An error (%d) was thrown while saving the video log." % result.status_code)

        # get a reference to the updated VideoLog
        videolog = VideoLog.objects.get(youtube_id=self.YOUTUBE_ID, user__username=self.USERNAME)
        
        # make sure the VideoLog was properly updated
        self.assertEqual(videolog.points, self.ORIGINAL_POINTS + self.NEW_POINTS, "The VideoLog's points were not updated correctly.")
        self.assertEqual(videolog.total_seconds_watched, self.ORIGINAL_SECONDS_WATCHED + self.NEW_SECONDS_WATCHED, "The VideoLog's seconds watched was not updated correctly.")

# 需要导入模块: from main.models import VideoLog [as 别名]
# 或者: from main.models.VideoLog import save [as 别名]
class TestVideoLogs(KALiteTestCase):

    ORIGINAL_POINTS = 37
    ORIGINAL_SECONDS_WATCHED = 3
    NEW_POINTS = 22
    NEW_SECONDS_WATCHED = 5
    YOUTUBE_ID = "aNqG4ChKShI"
    VIDEO_ID = i18n.get_video_id(YOUTUBE_ID) or "dummy"

    def setUp(self):
        super(TestVideoLogs, 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 VideoLog instance so we have something to collide with later
        self.original_videolog = VideoLog(video_id=self.VIDEO_ID, youtube_id=self.YOUTUBE_ID, user=self.user)
        self.original_videolog.points = self.ORIGINAL_POINTS
        self.original_videolog.total_seconds_watched = self.ORIGINAL_SECONDS_WATCHED
        self.original_videolog.save()

        # get a new reference to the existing VideoLog
        videolog = VideoLog.objects.get(id=self.original_videolog.id)

        # make sure the VideoLog was created correctly
        self.assertEqual(videolog.points, self.ORIGINAL_POINTS, "The VideoLog's points have already changed.")
        self.assertEqual(videolog.total_seconds_watched, self.ORIGINAL_SECONDS_WATCHED, "The VideoLog's total seconds watched have already changed.")

    def test_videolog_update(self):

        # get a new reference to the existing VideoLog
        videolog = VideoLog.objects.get(id=self.original_videolog.id)

        # update the VideoLog
        videolog.points = self.NEW_POINTS
        videolog.total_seconds_watched = self.NEW_SECONDS_WATCHED
        videolog.save()

        # get a new reference to the existing VideoLog
        videolog2 = VideoLog.objects.get(id=self.original_videolog.id)

        # make sure the VideoLog was updated
        self.assertEqual(videolog2.points, self.NEW_POINTS, "The VideoLog's points were not updated.")
        self.assertEqual(videolog2.total_seconds_watched, self.NEW_SECONDS_WATCHED, "The VideoLog's total seconds watched were not updated.")

    @unittest.skip("Auto-merging is not yet automatic, so skip this")
    def test_videolog_collision(self):

        # create a new video log with the same youtube_id and user, but different points/total seconds watched
        videolog = VideoLog(video_id=self.VIDEO_ID, youtube_id=self.YOUTUBE_ID, user=self.user)
        videolog.points = self.NEW_POINTS
        videolog.total_seconds_watched = self.NEW_SECONDS_WATCHED

        # try saving the new VideoLog: this is where the collision will happen, hopefully leading to a merge
        videolog.save()

        # get a new reference to the existing VideoLog
        videolog2 = VideoLog.objects.get(id=self.original_videolog.id)

        # make sure the VideoLog has been properly merged
        self.assertEqual(videolog.points, max(self.ORIGINAL_POINTS, self.NEW_POINTS), "The VideoLog's points were not properly merged.")
        self.assertEqual(videolog.total_seconds_watched, max(self.ORIGINAL_ATTEMPTS, self.NEW_SECONDS_WATCHED), "The VideoLog's total seconds watched have already changed.")