grades processing

stats.py

@@ -32,17 +32,27 @@
 """
 
 
-import json, csv, requests
+def num(s):
+    if s == '': return 0
+    try:
+        return int(s)
+    except ValueError:
+        return float(s)
+
+import json, csv, requests, sys, re
+from statistics import mean, median, stdev
 from pipelines import fetch, url
 from courses import getCoursesInTerm
 from collections import defaultdict
 
+all_grades_file = f"cache/grades_all.csv"
+all_courses_file = f"cache/course_grades_all.csv"
 
 def get_all():
     terms = '178 177 176 175 174 173 172 171 168 65 64 62 63 61 60 25 26 23 22 21'.split(' ')
     sems = '202330 202310 202270 202250 202230 202210 202170 202150 202130 202070 202050 202030 202010 201970 201950 201930 201910 201870 201850 201830'.split(' ')
     # Save grades to a CSV file
-    with open(f"cache/grades_all.csv", "w", newline="") as csvfile:
+    with open(all_grades_file, "w", newline="") as csvfile:
         writer = csv.writer(csvfile)
         writer.writerow(["crn", "sem", "coursecode", "s_can_id","g","name", "current", "final"])
         for (term,sem) in zip(terms,sems):
@@ -74,9 +84,56 @@ def grades(writer, sem, COURSE_ID, course_code):
             print("Exception:", e)
                     
 
-get_all()
+def count_above_70(li):
-#grades()
+    pass
 
+def process_one_course_grades(block, output):
+    fxns = [mean, median, stdev, min, max, len]
+    c_id = block[0][0]
+    sem = block[0][1]
+    course_code = block[0][2]
+    cur_scores = [num(x[6]) for x in block]
+    final_scores = [num(x[7]) for x in block]
+    #print(cur_scores)
+    #print(final_scores)
+    try:
+        (cur_mean, cur_median, cur_stdev, cur_min, cur_max, cur_count) = [round(f(cur_scores)) for f in fxns]
+        (final_mean, final_median, final_stdev, final_min, final_max, final_count) = [round(f(final_scores)) for f in fxns]
+
+        print("Course            mean  median  stdev   min    max     count")
+        print("{:>12}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {:6d}   ".format(course_code, cur_mean, cur_median, cur_stdev, cur_min, cur_max, cur_count))
+        print("{:>12}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {: 6.0f}   {:6d}   ".format(course_code, final_mean, final_median, final_stdev, final_min, final_max, final_count))
+        print()
+        output.writerow( [course_code, "current score", cur_mean, cur_median, cur_stdev, cur_min, cur_max, cur_count] )
+        output.writerow( [course_code, "final score", final_mean, final_median, final_stdev, final_min, final_max, final_count] )
+    except Exception as e:
+        print("Exception:", e)
+
+def process_grades():
+    with open(all_courses_file, "w", newline="") as output_f:
+        output = csv.writer(output_f)
+        output.writerow("Course mean median stdev min max count".split(" "))
+
+        with open(all_grades_file, newline="") as csvfile:
+            csvreader = csv.reader(csvfile)
+            block = []
+            current_index = None
+
+            next(csvreader)
+
+            for row in csvreader:
+                index = row[0]
+
+                if index != current_index:
+                    if block:
+                        process_one_course_grades(block, output)
+                    block = []
+                    current_index = index
+
+                block.append(row)
+
+            if block:
+                process_one_course_grades(block, output)
 
 
     
@@ -297,4 +354,26 @@ def externaltool():        # a list
     t = url + '/api/v1/accounts/1/external_tools/'
     while(t): t = fetch(t)
     print(results)
-    
+    
+
+
+if __name__ == "__main__":
+    options = { 1: ['get all historical grades from ilearn',get_all] ,  
+                2: ['process grades csv file',process_grades] , 
+              }
+    print ('')
+
+    if len(sys.argv) > 1 and re.search(r'^\d+',sys.argv[1]):
+        resp = int(sys.argv[1])
+        print("\n\nPerforming: %s\n\n" % options[resp][0])
+    
+    else:
+        print ('')
+        for key in options:
+            print(str(key) + '.\t' + options[key][0])
+        
+        print('')
+        resp = input('Choose: ')
+    
+    # Call the function in the options dict
+    options[ int(resp)][1]()