Commit e9dacbab authored by I.K Seneviratne's avatar I.K Seneviratne

Committing the graphical implementation of the lecture activity frame...

Committing the graphical implementation of the lecture activity frame groupings in the lecturer Home page.
parent 229e02da
......@@ -110,6 +110,36 @@ class LectureVideo(models.Model):
def __str__(self):
return self.lecture_video_id
class Landmarks(models.Model):
landmark = models.CharField(max_length=15)
class Meta:
abstract = True
# lecture video time landmarks table
class LectureVideoTimeLandmarks(models.Model):
lecture_video_time_landmarks_id = models.CharField(max_length=15)
lecture_video_id = models.ForeignKey(LectureVideo, on_delete=models.CASCADE)
time_landmarks = models.ArrayField(Landmarks)
def __str__(self):
return self.lecture_video_time_landmarks_id
# lecture video frame landmarks table
class LectureVideoFrameLandmarks(models.Model):
lecture_video_frame_landmarks_id = models.CharField(max_length=15)
lecture_video_id = models.ForeignKey(LectureVideo, on_delete=models.CASCADE)
frame_landmarks = models.ArrayField(Landmarks)
def __str__(self):
return self.lecture_video_frame_landmarks_id
# ACTIVITY section
# lecture activity table
class LectureActivity(models.Model):
......
......@@ -772,11 +772,63 @@ class GetLectureVideoSummaryTimeLandmarks(APIView):
def get(self, request):
video_name = request.query_params.get('video_name')
time_landmarks = ve.getTimeLandmarks(video_name)
return Response({
"response": time_landmarks
})
# checking for the existing time landmarks details
isExist = LectureVideoTimeLandmarks.objects.filter(lecture_video_id__video_name=video_name).exists()
if (isExist):
time_landmarks = []
lec_video_time_landmarks = LectureVideoTimeLandmarks.objects.filter(lecture_video_id__video_name=video_name)
lec_video_time_landmarks_ser = LectureVideoTimeLandmarksSerializer(lec_video_time_landmarks, many=True)
lec_video_time_landmarks_data = lec_video_time_landmarks_ser.data[0]
retrieved_landmarks = lec_video_time_landmarks_data["time_landmarks"]
for landmark in retrieved_landmarks:
time_landmarks.append(landmark['landmark'])
# return the response
return Response({
"response": time_landmarks
})
# else:
#
#
# last_lec_video_time_landmarks = LectureVideoTimeLandmarks.objects.order_by('lecture_video_time_landmarks_id').last()
# new_lecture_video_time_landmarks_id = "LVTL00001" if (last_lec_video_time_landmarks is None) else \
# ig.generate_new_id(last_lec_video_time_landmarks.lecture_video_time_landmarks_id)
#
#
# # retrieve lecture video details
# lec_video = LectureVideo.objects.filter(video_name=video_name)
# lec_video_ser = LectureVideoSerializer(lec_video, many=True)
# lec_video_id = lec_video_ser.data[0]['id']
#
#
# # save the landmark details in the db
# time_landmarks = ve.getTimeLandmarks(video_name)
#
# db_time_landmarks = []
#
# # loop through the time landmarks
# for landmark in time_landmarks:
# landmark_obj = Landmarks()
# landmark_obj.landmark = landmark
#
# db_time_landmarks.append(landmark_obj)
#
#
# new_lec_video_time_landmarks = LectureVideoTimeLandmarks()
# new_lec_video_time_landmarks.lecture_video_time_landmarks_id = new_lecture_video_time_landmarks_id
# new_lec_video_time_landmarks.lecture_video_id_id = lec_video_id
# new_lec_video_time_landmarks.time_landmarks = db_time_landmarks
#
# new_lec_video_time_landmarks.save()
#
# return Response({
# "response": time_landmarks
# })
# this API will retrieve lecture activity summary
......@@ -786,54 +838,118 @@ class GetLectureActivitySummary(APIView):
video_name = request.query_params.get('video_name')
# checking the existence of lecture activity frame grouping records in the db
lec_activity_frame_groupings = LectureActivityFrameGroupings.objects.filter(lecture_activity_id__lecture_video_id__video_name=video_name).exists()
isExist = LectureActivityFrameGroupings.objects.filter(lecture_activity_id__lecture_video_id__video_name=video_name).exists()
if (lec_activity_frame_groupings):
return Response({
"frame_group_percentages": {}
})
else:
frame_landmarks, frame_group_dict = ve.getFrameLandmarks(video_name)
frame_group_percentages, activity_labels = ar.activity_frame_groupings(video_name, frame_landmarks, frame_group_dict)
if (isExist):
# frame_landmarks, frame_group_dict = ve.getFrameLandmarks(video_name)
frame_group_percentages = {}
frame_landmarks = []
# retrieve frame landmarks from db
lec_video_frame_landmarks = LectureVideoFrameLandmarks.objects.filter(lecture_video_id__video_name=video_name)
lec_video_frame_landmarks_ser = LectureVideoFrameLandmarksSerializer(lec_video_frame_landmarks, many=True)
lec_video_frame_landmarks_data = lec_video_frame_landmarks_ser.data[0]
retrieved_frame_landmarks = lec_video_frame_landmarks_data["frame_landmarks"]
# save the frame group details into db (temp method)
for landmark in retrieved_frame_landmarks:
frame_landmarks.append(landmark['landmark'])
last_lec_activity_frame_grouping = LectureActivityFrameGroupings.objects.order_by('lecture_activity_frame_groupings_id').last()
new_lecture_activity_frame_grouping_id = "LAFG00001" if (last_lec_activity_frame_grouping is None) else \
ig.generate_new_id(last_lec_activity_frame_grouping.lecture_activity_frame_groupings_id)
# retrieve the lecture activity id
lec_activity = LectureActivity.objects.filter(lecture_video_id__video_name=video_name)
lec_activity_ser = LectureActivitySerializer(lec_activity, many=True)
lec_activity_id = lec_activity_ser.data[0]['id']
lec_activity_frame_groupings = LectureActivityFrameGroupings.objects.filter(lecture_activity_id__lecture_video_id__video_name=video_name)
lec_activity_frame_groupings_ser = LectureActivityFrameGroupingsSerializer(lec_activity_frame_groupings, many=True)
lec_activity_frame_groupings_data = lec_activity_frame_groupings_ser.data[0]
# create the frame group details
frame_group_details = []
frame_group_details = lec_activity_frame_groupings_data["frame_group_details"]
for key in frame_group_percentages.keys():
obj = {}
obj['frame_group'] = key
obj['frame_group_percentages'] = frame_group_percentages[key]
frame_group_details.append(obj)
# create the new dictionary
for group in frame_group_details:
frame_group_percentages[group['frame_group']] = group['frame_group_percentages']
new_lec_activity_frame_groupings = LectureActivityFrameGroupings()
new_lec_activity_frame_groupings.lecture_activity_frame_groupings_id = new_lecture_activity_frame_grouping_id
new_lec_activity_frame_groupings.lecture_activity_id_id = lec_activity_id
new_lec_activity_frame_groupings.frame_group_details = frame_group_details
# save
new_lec_activity_frame_groupings.save()
class_labels = ['phone_perct', 'listen_perct', 'note_perct']
return Response({
"frame_landmarks": frame_landmarks,
"frame_group_dict": frame_group_dict,
"frame_group_percentages": frame_group_percentages,
"activity_labels": activity_labels
})
\ No newline at end of file
"activity_labels": class_labels
})
# else:
#
# # retrieve the previous lecture video frame landmarks details
# last_lec_video_frame_landmarks = LectureVideoFrameLandmarks.objects.order_by(
# 'lecture_video_frame_landmarks_id').last()
# new_lecture_video_frame_landmarks_id = "LVFL00001" if (last_lec_video_frame_landmarks is None) else \
# ig.generate_new_id(last_lec_video_frame_landmarks.lecture_video_frame_landmarks_id)
#
#
# frame_landmarks, frame_group_dict = ve.getFrameLandmarks(video_name)
# frame_group_percentages, activity_labels = ar.activity_frame_groupings(video_name, frame_landmarks, frame_group_dict)
#
#
# # retrieve lecture video details
# lec_video = LectureVideo.objects.filter(video_name=video_name)
# lec_video_ser = LectureVideoSerializer(lec_video, many=True)
# lec_video_id = lec_video_ser.data[0]['id']
#
#
# # save the frame landmarks details into db (temp method)
# db_frame_landmarks = []
#
# for landmark in frame_landmarks:
# landmark_obj = Landmarks()
# landmark_obj.landmark = landmark
#
# db_frame_landmarks.append(landmark_obj)
#
#
# new_lec_video_frame_landmarks = LectureVideoFrameLandmarks()
# new_lec_video_frame_landmarks.lecture_video_frame_landmarks_id = new_lecture_video_frame_landmarks_id
# new_lec_video_frame_landmarks.lecture_video_id_id = lec_video_id
# new_lec_video_frame_landmarks.frame_landmarks = db_frame_landmarks
#
# new_lec_video_frame_landmarks.save()
#
#
#
# # save the frame group details into db (temp method)
#
# last_lec_activity_frame_grouping = LectureActivityFrameGroupings.objects.order_by('lecture_activity_frame_groupings_id').last()
# new_lecture_activity_frame_grouping_id = "LAFG00001" if (last_lec_activity_frame_grouping is None) else \
# ig.generate_new_id(last_lec_activity_frame_grouping.lecture_activity_frame_groupings_id)
#
# # retrieve the lecture activity id
# lec_activity = LectureActivity.objects.filter(lecture_video_id__video_name=video_name)
# lec_activity_ser = LectureActivitySerializer(lec_activity, many=True)
# lec_activity_id = lec_activity_ser.data[0]['id']
#
# # create the frame group details
# frame_group_details = []
#
# for key in frame_group_percentages.keys():
# # create an object of type 'LectureActivityFrameGroupDetails'
# lec_activity_frame_group_details = LectureActivityFrameGroupDetails()
# lec_activity_frame_group_details.frame_group = key
# lec_activity_frame_group_details.frame_group_percentages = frame_group_percentages[key]
#
# frame_group_details.append(lec_activity_frame_group_details)
#
#
# new_lec_activity_frame_groupings = LectureActivityFrameGroupings()
# new_lec_activity_frame_groupings.lecture_activity_frame_groupings_id = new_lecture_activity_frame_grouping_id
# new_lec_activity_frame_groupings.lecture_activity_id_id = lec_activity_id
# new_lec_activity_frame_groupings.frame_group_details = frame_group_details
#
# # save
# new_lec_activity_frame_groupings.save()
#
#
# return Response({
# "frame_landmarks": frame_landmarks,
# "frame_group_percentages": frame_group_percentages,
# "activity_labels": activity_labels
# })
......@@ -764,7 +764,6 @@ def activity_frame_groupings(video_name, frame_landmarks, frame_group_dict):
# print('frame group dict: ', frame_group_dict)
activity_labels = ['phone_perct', 'listen_perct', 'note_perct']
print('frame group percentages: ', frame_group_dict)
# return the dictionary
return frame_group_dict, activity_labels
\ No newline at end of file
......@@ -201,6 +201,52 @@ class LectureVideoSerializer(serializers.ModelSerializer):
fields = '__all__'
# lecture video time landmarks serializer
class LectureVideoTimeLandmarksSerializer(serializers.ModelSerializer):
lecture_video_id = LectureVideoSerializer()
time_landmarks = serializers.SerializerMethodField()
def get_time_landmarks(self, obj):
return_data = []
for time_landmark in obj.time_landmarks:
landmark_details = {}
landmark_details["landmark"] = time_landmark.landmark
return_data.append(landmark_details)
return return_data
class Meta:
model = LectureVideoTimeLandmarks
fields = '__all__'
# lecture video frame landmarks serializer
class LectureVideoFrameLandmarksSerializer(serializers.ModelSerializer):
lecture_video_id = LectureVideoSerializer()
frame_landmarks = serializers.SerializerMethodField()
def get_frame_landmarks(self, obj):
return_data = []
for frame_landmark in obj.frame_landmarks:
landmark_details = {}
landmark_details["landmark"] = frame_landmark.landmark
return_data.append(landmark_details)
return return_data
class Meta:
model = LectureVideoFrameLandmarks
fields = '__all__'
class LectureActivitySerializer(serializers.ModelSerializer):
lecture_video_id = LectureVideoSerializer()
......@@ -213,6 +259,23 @@ class LectureActivitySerializer(serializers.ModelSerializer):
class LectureActivityFrameGroupingsSerializer(serializers.ModelSerializer):
lecture_activity_id = LectureActivitySerializer()
frame_group_details = serializers.SerializerMethodField()
def get_frame_group_details(self, obj):
return_data = []
for frame_group in obj.frame_group_details:
group_details = {}
group_details["frame_group_percentages"] = {}
group_details["frame_group"] = frame_group.frame_group
group_details["frame_group_percentages"]["phone_perct"] = frame_group.frame_group_percentages.phone_perct
group_details["frame_group_percentages"]["listen_perct"] = frame_group.frame_group_percentages.listen_perct
group_details["frame_group_percentages"]["note_perct"] = frame_group.frame_group_percentages.note_perct
return_data.append(group_details)
return return_data
class Meta:
model = LectureActivityFrameGroupings
......
......@@ -291,7 +291,7 @@
lecture_activity_frame_group_percentages = response.frame_group_percentages;
let frame_landmarks = response.frame_landmarks;
let frame_group_dict = response.frame_group_dict;
{#let frame_group_dict = response.frame_group_dict;#}
let activity_labels = response.activity_labels;
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment