Python models.VideoLog类代码示例

    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()

    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.")

def update_all_distributed_callback(request):
    """
    """

    if request.method != "POST":
        raise PermissionDenied("Only POST allowed to this URL endpoint.")

    videos = json.loads(request.POST["video_logs"])
    exercises = json.loads(request.POST["exercise_logs"])
    user = FacilityUser.objects.get(id=request.POST["user_id"])
    node_cache = get_node_cache()
    # Save videos
    n_videos_uploaded = 0
    for video in videos:
        video_id = video['video_id']
        youtube_id = video['youtube_id']

        # Only save video logs for videos that we recognize.
        if video_id not in node_cache["Video"]:
            logging.warn("Skipping unknown video %s" % video_id)
            continue

        try:
            (vl, _) = VideoLog.get_or_initialize(user=user, video_id=video_id, youtube_id=youtube_id)
            for key,val in video.iteritems():
                setattr(vl, key, val)
            logging.debug("Saving video log for %s: %s" % (video_id, vl))
            vl.save()
            n_videos_uploaded += 1
        except KeyError:  #
            logging.error("Could not save video log for data with missing values: %s" % video)
        except Exception as e:
            error_message = "Unexpected error importing videos: %s" % e
            return JsonResponseMessageError(error_message)

    # Save exercises
    n_exercises_uploaded = 0
    for exercise in exercises:
        # Only save video logs for videos that we recognize.
        if exercise['exercise_id'] not in node_cache['Exercise']:
            logging.warn("Skipping unknown video %s" % exercise['exercise_id'])
            continue

        try:
            (el, _) = ExerciseLog.get_or_initialize(user=user, exercise_id=exercise["exercise_id"])
            for key,val in exercise.iteritems():
                setattr(el, key, val)
            logging.debug("Saving exercise log for %s: %s" % (exercise['exercise_id'], el))
            el.save()
            n_exercises_uploaded += 1
        except KeyError:
            logging.error("Could not save exercise log for data with missing values: %s" % exercise)
        except Exception as e:
            error_message = "Unexpected error importing exercises: %s" % e
            return JsonResponseMessageError(error_message)

    return JsonResponse({"success": "Uploaded %d exercises and %d videos" % (n_exercises_uploaded, n_videos_uploaded)})

 def setUp(self):
     # 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 status(request):
    """In order to promote (efficient) caching on (low-powered)
    distributed devices, we do not include ANY user data in our
    templates.  Instead, an AJAX request is made to download user
    data, and javascript used to update the page.

    This view is the view providing the json blob of user information,
    for each page view on the distributed server.

    Besides basic user data, we also provide access to the
    Django message system through this API, again to promote
    caching by excluding any dynamic information from the server-generated
    templates.
    """
    # Build a list of messages to pass to the user.
    #   Iterating over the messages removes them from the
    #   session storage, thus they only appear once.
    message_dicts = []
    for message in get_messages(request):
        # Make sure to escape strings not marked as safe.
        # Note: this duplicates a bit of Django template logic.
        msg_txt = message.message
        if not (isinstance(msg_txt, SafeString) or isinstance(msg_txt, SafeUnicode)):
            msg_txt = cgi.escape(str(msg_txt))

        message_dicts.append({
            "tags": message.tags,
            "text": msg_txt,
        })

    # Default data
    data = {
        "is_logged_in": request.is_logged_in,
        "registered": bool(Settings.get("registered")),
        "is_admin": request.is_admin,
        "is_django_user": request.is_django_user,
        "points": 0,
        "messages": message_dicts,
    }
    # Override properties using facility data
    if "facility_user" in request.session:
        user = request.session["facility_user"]
        data["is_logged_in"] = True
        data["username"] = user.get_name()
        data["points"] = VideoLog.get_points_for_user(user) + ExerciseLog.get_points_for_user(user)
    # Override data using django data
    if request.user.is_authenticated():
        data["is_logged_in"] = True
        data["username"] = request.user.username

    return JsonResponse(data)

def status(request):
    data = {
        "is_logged_in": request.is_logged_in,
        "registered": bool(Settings.get("registered")),
        "is_admin": request.is_admin,
        "is_django_user": request.is_django_user,
        "points": 0,
    }
    if "facility_user" in request.session:
        user = request.session["facility_user"]
        data["is_logged_in"] = True
        data["username"] = user.get_name()
        data["points"] = VideoLog.get_points_for_user(user) + ExerciseLog.get_points_for_user(user)
    if request.user.is_authenticated():
        data["is_logged_in"] = True
        data["username"] = request.user.username
    return JsonResponse(data)

    def setUp(self):
        # 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", password="dummy", facility=self.facility)
        self.user.save()

        # create an initial VideoLog instance so we have something to collide with 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()

        # 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 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.........

def update_all_central_callback(request):
    """
    Callback after authentication.

    Parses out the request token verification.
    Then finishes the request by getting an auth token.
    """
    if not "ACCESS_TOKEN" in request.session:
        finish_auth(request)

    exercises = get_api_resource(request, "/api/v1/user/exercises")
    videos = get_api_resource(request, "/api/v1/user/videos")
    node_cache = get_node_cache()

    # Collate videos
    video_logs = []
    for video in videos:
        # Assume that KA videos are all english-language, not dubbed (for now)
        video_id = youtube_id = video.get('video', {}).get('youtube_id', "")

        # Only save videos with progress
        if not video.get('seconds_watched', None):
            continue

        # Only save video logs for videos that we recognize.
        if video_id not in node_cache["Video"]:
            logging.warn("Skipping unknown video %s" % video_id)
            continue

        try:
            video_logs.append({
                "video_id": video_id,
                "youtube_id": youtube_id,
                "total_seconds_watched": video['seconds_watched'],
                "points": VideoLog.calc_points(video['seconds_watched'], video['duration']),
                "complete": video['completed'],
                "completion_timestamp": convert_ka_date(video['last_watched']) if video['completed'] else None,
            })
            logging.debug("Got video log for %s: %s" % (video_id, video_logs[-1]))
        except KeyError:  #
            logging.error("Could not save video log for data with missing values: %s" % video)

    # Collate exercises
    exercise_logs = []
    for exercise in exercises:
        # Only save exercises that have any progress.
        if not exercise.get('last_done', None):
            continue

        # Only save video logs for videos that we recognize.
        slug = exercise.get('exercise', "")
        if slug not in node_cache['Exercise']:
            logging.warn("Skipping unknown video %s" % slug)
            continue

        try:
            completed = exercise['streak'] >= 10
            basepoints = node_cache['Exercise'][slug][0]['basepoints']
            exercise_logs.append({
                "exercise_id": slug,
                "streak_progress": min(100, 100 * exercise['streak']/10),  # duplicates logic elsewhere
                "attempts": exercise['total_done'],
                "points": ExerciseLog.calc_points(basepoints, ncorrect=exercise['streak'], add_randomness=False),  # no randomness when importing from KA
                "complete": completed,
                "attempts_before_completion": exercise['total_done'] if not exercise['practiced'] else None,  #can't figure this out if they practiced after mastery.
                "completion_timestamp": convert_ka_date(exercise['proficient_date']) if completed else None,
            })
            logging.debug("Got exercise log for %s: %s" % (slug, exercise_logs[-1]))
        except KeyError:
            logging.error("Could not save exercise log for data with missing values: %s" % exercise)

    # POST the data back to the distributed server
    try:

        dthandler = lambda obj: obj.isoformat() if isinstance(obj, datetime.datetime) else None
        logging.debug("POST'ing to %s" % request.session["distributed_callback_url"])
        response = requests.post(
            request.session["distributed_callback_url"],
            cookies={ "csrftoken": request.session["distributed_csrf_token"] },
            data = {
                "csrfmiddlewaretoken": request.session["distributed_csrf_token"],
                "video_logs": json.dumps(video_logs, default=dthandler),
                "exercise_logs": json.dumps(exercise_logs, default=dthandler),
                "user_id": request.session["distributed_user_id"],
            }
        )
        logging.debug("Response (%d): %s" % (response.status_code, response.content))
    except requests.exceptions.ConnectionError as e:
        return HttpResponseRedirect(set_query_params(request.session["distributed_redirect_url"], {
            "message_type": "error",
            "message": _("Could not connect to your KA Lite installation to share Khan Academy data."),
            "message_id": "id_khanload",
        }))
    except Exception as e:
        return HttpResponseRedirect(set_query_params(request.session["distributed_redirect_url"], {
            "message_type": "error",
            "message": _("Failure to send data to your KA Lite installation: %s") % e,
            "message_id": "id_khanload",
        }))

#.........这里部分代码省略.........

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.")

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.")

def compute_total_points(user):
    if user.is_teacher:
        return None
    else:
        return VideoLog.get_points_for_user(user) + ExerciseLog.get_points_for_user(user)

def update_all_central_callback(request):
    """
    Callback after authentication.

    Parses out the request token verification.
    Then finishes the request by getting an auth token.
    """
    if not "ACCESS_TOKEN" in request.session:
        finish_auth(request)
    
    exercises = get_api_resource(request, "/api/v1/user/exercises")
    videos = get_api_resource(request, "/api/v1/user/videos")

    # Save videos
    video_logs = []
    for video in videos:
        youtube_id =video.get('video', {}).get('youtube_id', "")

        # Only save videos with progress
        if not video.get('seconds_watched', None):
            continue

        # Only save video logs for videos that we recognize.
        if youtube_id not in ID2SLUG_MAP:
            logging.warn("Skipping unknown video %s" % youtube_id)
            continue

        try:
            video_logs.append({
                "youtube_id": youtube_id,
                "total_seconds_watched": video['seconds_watched'],
                "points": VideoLog.calc_points(video['seconds_watched'], video['duration']),
                "complete": video['completed'],
                "completion_timestamp": convert_ka_date(video['last_watched']) if video['completed'] else None,
            })
            logging.debug("Got video log for %s: %s" % (youtube_id, video_logs[-1]))
        except KeyError:  # 
            logging.error("Could not save video log for data with missing values: %s" % video)

    # Save exercises
    exercise_logs = []
    for exercise in exercises:
        # Only save exercises that have any progress.
        if not exercise.get('last_done', None):
            continue

        # Only save video logs for videos that we recognize.
        slug = exercise.get('exercise', "")
        if slug not in NODE_CACHE['Exercise']:
            logging.warn("Skipping unknown video %s" % slug)
            continue

        try:
            completed = exercise['streak'] >= 10
            basepoints = NODE_CACHE['Exercise'][slug]['basepoints']
            exercise_logs.append({
                "exercise_id": slug,
                "streak_progress": min(100, 100 * exercise['streak']/10),  # duplicates logic elsewhere
                "attempts": exercise['total_done'],
                "points": ExerciseLog.calc_points(basepoints, ncorrect=exercise['streak'], add_randomness=False),  # no randomness when importing from KA
                "complete": completed,
                "attempts_before_completion": exercise['total_done'] if not exercise['practiced'] else None,  #can't figure this out if they practiced after mastery.
                "completion_timestamp": convert_ka_date(exercise['proficient_date']) if completed else None,
            })
            logging.debug("Got exercise log for %s: %s" % (slug, exercise_logs[-1]))
        except KeyError:
            logging.error("Could not save exercise log for data with missing values: %s" % exercise)

    # POST the data back to the distributed server
    dthandler = lambda obj: obj.isoformat() if isinstance(obj, datetime.datetime) else None
    logging.debug("POST'ing to %s" % request.session["distributed_callback_url"])
    response = requests.post(
        request.session["distributed_callback_url"],
        cookies={ "csrftoken": request.session["distributed_csrf_token"] },
        data = {
            "csrfmiddlewaretoken": request.session["distributed_csrf_token"],
            "video_logs": json.dumps(video_logs, default=dthandler),
            "exercise_logs": json.dumps(exercise_logs, default=dthandler),
            "user_id": request.session["distributed_user_id"],
        }
    )
    logging.debug("Response (%d): %s" % (response.status_code, response.content))
    message = json.loads(response.content)

    # If something broke on the distribute d server, we are SCREWED.
    #   For now, just show the error to users.
    #
    # Ultimately, we have a message, would like to share with the distributed server.
#    if response.status_code != 200:
#        return HttpResponseServerError(response.content)

    return HttpResponseRedirect(request.session["distributed_redirect_url"] + "?message_type=%s&message=%s&message_id=id_khanload" % (message.keys()[0], message.values()[0]))