Update analytics.py

analytics.py

@@ -7,42 +7,47 @@ def write_to_csv_departments(time,teachingscore,teaching,courseContentscore,cour
                  examinationscore,examination,labWorkscore,labWork,libraryFacilitiesscore,
                  libraryFacilities,extraCurricularscore,extraCurricular):
     csv_file_path = 'dataset/database.csv'
+    df = pd.read_csv(csv_file_path)
+    header = df.columns.tolist()
+    
+    # Creating a dictionary for the new row
+    new_row = {'Timestamp': time.time(), 'teachingscore': teachingscore, 'teaching': teaching,
+               'coursecontentscore': courseContentscore, 'coursecontent': courseContent,
+               'examinationscore': examinationscore, 'examination': examination,
+               'labworkscore': labWorkscore, 'labwork': labWork, 'libraryfacilitiesscore': libraryFacilitiesscore,
+               'libraryfacilities': libraryFacilities, 'extracurricularscore': extraCurricularscore,
+               'extracurricular': extraCurricular, 'Email Address': ''}
+    
+    # Appending the new row to the DataFrame
+    df = df.append(new_row, ignore_index=True)
+    
+    # Writing the DataFrame back to the CSV file
+    df.to_csv(csv_file_path, index=False)
 
-    with open(csv_file_path, 'r') as f:
-        reader = csv.reader(f)
-        for header in reader:
-            break
-    with open(csv_file_path, "a", newline='') as f:
-        writer = csv.DictWriter(f, fieldnames=header)
-        dict = {'Timestamp': time, 'teachingscore': teachingscore, 'teaching': teaching,
-                'coursecontentscore': courseContentscore, 'coursecontent': courseContent,
-                'examinationscore': examinationscore, 'examination': examination,
-                'labworkscore': labWorkscore, 'labwork': labWork,'libraryfacilitiesscore': libraryFacilitiesscore,
-                'libraryfacilities': libraryFacilities, 'extracurricularscore': extraCurricularscore,
-                'extracurricular': extraCurricular, 'Email Address': ''}
-        writer.writerow(dict)
 
 
 
 def write_to_csv_teachers(teacher1,teacher1score,teacher2,teacher2score,teacher3,teacher3score,
                           teacher4,teacher4score,teacher5,teacher5score,teacher6,teacher6score):
     csv_file_path = 'dataset/teacherdb.csv'
-    with open(csv_file_path, 'r') as f:
-        reader = csv.reader(f)
-        for header in reader:
-            break
-    with open(csv_file_path, "a", newline='') as f:
-        writer = csv.DictWriter(f, fieldnames=header)
-        dict = {'teacher1': teacher1, 'teacher1score': teacher1score,
-                'teacher2': teacher2,'teacher2score': teacher2score,
-                'teacher3': teacher3, 'teacher3score': teacher3score,
-                'teacher4': teacher4, 'teacher4score': teacher4score,
-                'teacher5': teacher5, 'teacher5score': teacher5score,
-                'teacher6': teacher6, 'teacher6score': teacher6score
-               }
-        writer.writerow(dict)
-
-
+    
+    # Read the existing headers
+    df = pd.read_csv(csv_file_path)
+    header = df.columns.tolist()
+    
+    # Create a dictionary for the new row
+    new_row = {'teacher1': teacher1, 'teacher1score': teacher1score,
+               'teacher2': teacher2, 'teacher2score': teacher2score,
+               'teacher3': teacher3, 'teacher3score': teacher3score,
+               'teacher4': teacher4, 'teacher4score': teacher4score,
+               'teacher5': teacher5, 'teacher5score': teacher5score,
+               'teacher6': teacher6, 'teacher6score': teacher6score}
+    
+    # Append the new row to the DataFrame
+    df = df.append(new_row, ignore_index=True)
+    
+    # Write the DataFrame back to the CSV file
+    df.to_csv(csv_file_path, index=False)
 
 
 def get_counts():