Merge branch 'QA_RELEASE' into IT17100908_Lecture_Summarizing

FirstApp/automation_process.py

@@ -104,11 +104,11 @@ def automation_process(lecturer, subject, subject_code, video_length="00:20:00")
     # save the lecturer audio
 
 
-    for i in range(100):
-        print('outer loop: ', i)
-
-        for j in range(10000):
-            print('inner loop: ', j)
+    # for i in range(100):
+    #     print('outer loop: ', i)
+    #
+    #     for j in range(10000):
+    #         print('inner loop: ', j)
 
 
     # start the batch processing for lecture summarization component

FirstApp/logic/batch_process.py

@@ -15,13 +15,13 @@ def student_behavior_batch_process(video_id, video_name):
     if activity_resp.json()['response']:
 
         # call the emotion process
-        emotion_resp = requests.get('http://127.0.0.1:8000/process-lecture-emotion/?lecture_video_name=', params={'lecture_video_name': video_name, 'lecture_video_id': video_id})
+        emotion_resp = requests.get('http://127.0.0.1:8000/process-lecture-emotion/', params={'lecture_video_name': video_name, 'lecture_video_id': video_id})
 
         # if the emotion process is success
         if emotion_resp.json()['response']:
 
             # call the gaze process
-            gaze_resp = requests.get('http://127.0.0.1:8000/process-lecture-gaze-estimation/?lecture_video_name=', params={'lecture_video_name': video_name, 'lecture_video_id': video_id})
+            gaze_resp = requests.get('http://127.0.0.1:8000/process-lecture-gaze-estimation/', params={'lecture_video_name': video_name, 'lecture_video_id': video_id})
 
             # if the gaze estimation process is successful
             if gaze_resp.json()['response']: