up

tools/final_grade_exporter.py

@@ -1,92 +1 @@
-#!/usr/bin/python
-# -*- coding: utf-8 -*-
-# Filename: final_grade_exporter.py
-import csv
-import json
-import argparse, requests
-
-CANVAS_TOKEN = ''
-EXPORT_PATH = ''
-FIELDS = ''
-CANVAS_URL = "https://canvas.kth.se"
-CANVAS_COURSE_ID = 0
-
-
-# Get list of students {canvas_id, name, kth_id}
-def get_students():
-    url = "{0}/api/v1/courses/{1}/users?per_page=200&enrollment_type[]=student".format(CANVAS_URL, CANVAS_COURSE_ID)
-    r = requests.get(url, headers={'Authorization': 'Bearer ' + CANVAS_TOKEN})
-    return [{"canvas_id": user["id"], "name": user["name"], "kth_id": user["email"]} for user in
-            json.loads(r.content)]
-
-
-# Get graded submission with complete grade for a canvas user, list of assignments name
-def get_completed_submissions(canvas_id):
-    url = "{0}/api/v1/courses/{1}/students/submissions?workflow_state=graded&student_ids[]={2}&include[]=assignment".format(
-        CANVAS_URL,
-        CANVAS_COURSE_ID,
-        canvas_id)
-    r = requests.get(url, headers={'Authorization': 'Bearer ' + CANVAS_TOKEN})
-    return [submission["assignment"]["name"] for submission in json.loads(r.content) if
-            submission["grade"] == "complete"]
-
-
-# Compute the grade according to the number of completed assignments
-# Ignore feedback for grade E
-def compute_grade(completed_assignments):
-    nb_assignments = len(completed_assignments)
-
-    if nb_assignments >= 5:
-        return "A"
-    elif nb_assignments == 4:
-        return "C"
-    elif nb_assignments == 3 and "Feedback" not in completed_assignments:
-        return "E"
-    else:
-        return "F"
-
-
-# Parse arguments of the script
-def parse_args():
-    global CANVAS_COURSE_ID
-    global CANVAS_TOKEN
-    global EXPORT_PATH
-    global FIELDS
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument('--course', dest='course', type=str, help='Canvas course ID', required=True)
-    parser.add_argument('--token', dest='token', type=str, help='Canvas access token', required=True)
-    parser.add_argument('--fields', dest='fields', type=str, nargs='+', help='Fiedls to export',
-                        default=["name", "kth_id", "grade"])
-    parser.add_argument('--export', dest='export_path', type=str, help='Path to write csv file', required=False,
-                        default='')
-
-    args = parser.parse_args()
-    CANVAS_COURSE_ID = args.course
-    CANVAS_TOKEN = args.token
-    EXPORT_PATH = args.export_path
-    FIELDS = args.fields
-
-
-def main():
-    parse_args()
-
-    students = get_students()
-
-    # Get completed assignments for each students and compute the grade
-    for i in range(0, len(students)):
-        completed = get_completed_submissions(students[i]["canvas_id"])
-        students[i]["completed"] = completed
-        students[i]["grade"] = compute_grade(completed)
-        print("{0},{1},{2}".format(students[i]["name"], students[i]["kth_id"], students[i]["grade"]))
-
-    if EXPORT_PATH != '':
-        # Write the result to csv file
-        with open(EXPORT_PATH, mode='w') as grade_file:
-            grade_writer = csv.DictWriter(grade_file, delimiter=',', fieldnames=FIELDS,
-                                          extrasaction='ignore')
-            grade_writer.writeheader()
-            grade_writer.writerows(students)
-
-
-main()
+# Script now at https://github.com/monperrus/programmable-teaching