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 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="******",
password="******",
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 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(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()
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 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 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 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="******", password="******", 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 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.")
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="******", 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.")
class TestSaveVideoLog(KALiteTestCase):
ORIGINAL_POINTS = 84
ORIGINAL_SECONDS_WATCHED = 32
NEW_POINTS = 32
NEW_SECONDS_WATCHED = 15
YOUTUBE_ID = "aNqG4ChKShI"
YOUTUBE_ID2 = "b22tMEc6Kko"
USERNAME = "******"
PASSWORD = "******"
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.")
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",
}))
try:
json_response = json.loads(response.content)
if not isinstance(json_response, dict) or len(json_response) != 1:
# Could not validate the message is a single key-value pair
raise Exception(
_("Unexpected response format from your KA Lite installation.")
)
message_type = json_response.keys()[0]
message = json_response.values()[0]
except ValueError as e:
message_type = "error"
message = unicode(e)
except Exception as e:
message_type = "error"
message = _("Loading json object: %s") % e
# 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(
set_query_params(
request.session["distributed_redirect_url"], {
"message_type": message_type,
"message": message,
"message_id": "id_khanload",
}))
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_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"])
# Save videos
n_videos_uploaded = 0
for video in videos:
youtube_id = video['youtube_id']
# 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:
(vl,
_) = VideoLog.get_or_initialize(user=user,
youtube_id=video["youtube_id"])
for key, val in video.iteritems():
setattr(vl, key, val)
logging.debug("Saving video log for %s: %s" % (youtube_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 JsonResponse({"error": error_message}, status=500)
# 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 JsonResponse({"error": error_message}, status=500)
return JsonResponse({
"success":
"Uploaded %d exercises and %d videos" %
(n_exercises_uploaded, n_videos_uploaded)
})
class TestSaveVideoLog(KALiteTestCase):
ORIGINAL_POINTS = 84
ORIGINAL_SECONDS_WATCHED = 32
NEW_POINTS = 32
NEW_SECONDS_WATCHED = 15
YOUTUBE_ID = "aNqG4ChKShI"
YOUTUBE_ID2 = "b22tMEc6Kko"
USERNAME = "******"
PASSWORD = "******"
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.")
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",
}))
try:
json_response = json.loads(response.content)
if not isinstance(json_response, dict) or len(json_response) != 1:
# Could not validate the message is a single key-value pair
raise Exception(_("Unexpected response format from your KA Lite installation."))
message_type = json_response.keys()[0]
message = json_response.values()[0]
except ValueError as e:
message_type = "error"
message = unicode(e)
except Exception as e:
message_type = "error"
message = _("Loading json object: %s") % e
# 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(set_query_params(request.session["distributed_redirect_url"], {
"message_type": message_type,
"message": message,
"message_id": "id_khanload",
}))
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."""
own_device = Device.get_own_device()
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:
vlog = 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,
video["title"],
pct_completed,
points,
" COMPLETE on %s!" % date_completed if pct_completed == 100 else "",
))
vlog = VideoLog(
user=facility_user,
youtube_id=video["youtube_id"],
total_seconds_watched=total_seconds_watched,
points=points,
complete=(pct_completed == 100.),
completion_timestamp=date_completed,
completion_counter=datediff(date_completed, start_date, units="seconds"),
)
vlog.full_clean()
# TODO(bcipolli): bulk saving of logs
vlog.counter = own_device.increment_and_get_counter()
vlog.sign(own_device) # have to sign after setting the counter
vlog.save(imported=True) # avoid userlog issues
video_logs.append(vlog)
return video_logs
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]))
class TestVideoLogs(TestCase):
ORIGINAL_POINTS = 37
ORIGINAL_SECONDS_WATCHED = 3
NEW_POINTS = 22
NEW_SECONDS_WATCHED = 5
YOUTUBE_ID = "aNqG4ChKShI"
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="******",
password="******",
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 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(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 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,
video["title"],
pct_completed,
points,
" COMPLETE on %s!" % date_completed if pct_completed == 100 else "",
))
log = VideoLog(
user=facility_user,
youtube_id=video["youtube_id"],
total_seconds_watched=total_seconds_watched,
points=points,
completion_timestamp=date_completed,
completion_counter=datediff(date_completed, start_date, units="seconds"),
)
log.full_clean()
# TODO(bcipolli): bulk saving of logs
log.save()
video_logs.append(log)
return video_logs
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]))