def grade_new_submissions():
print("Checking for new submissions")
students = c.downloadAssignment(courseName=course_name, assignmentName=assignment_name,
subdirName=homework_path, allowLate=True)
print("Downloaded new submissions from {}".format(students))
# Check if there's any students we failed to grade and comment on
# and also grab their stuff to grade.
for dir in next(os.walk(os.path.abspath(homework_path)))[1]:
student_dir = os.path.abspath(homework_path + "/" + dir)
if not os.path.isfile(student_dir + "/final_score.diff"):
print("Student {} is missing their final score, will force regrade".format(dir))
student_id = int(dir)
if student_id not in students:
students.append(int(dir))
for student_id in students:
student_dir = os.path.abspath(homework_path + "/" + str(student_id))
print('Processing student ' + student_dir)
os.chdir(student_dir)
for name, problem in reference_soln.items():
cl_stdout_file = name + '_cl.txt'
stdin_file = ref_homework_dir + '/' + problem["stdin"]
stdout_file = name + "_stdout.txt"
ref_stdout_file = ref_homework_dir + '/' + problem["stdout"]
result_file = name + '_results.txt'
grade_file = name + '_grade.txt'
# Compile the student's submission
print('Compiling ' + name)
grading.compile(cl_stdout_file, problem, name)
# Run the student's submission
exe = name + '.exe'
print('Running ' + exe)
grading.run_student(exe, stdin_file, stdout_file, cl_stdout_file)
# Check the student's submision
print('Checking ' + name)
# Compare the student's output to our expected output
grading.compare(ref_stdout_file, stdout_file, result_file)
# count the number of warnings and errors
grading.count_warnings_errors(cl_stdout_file, result_file)
# Compile the grading document but don't assign a grade to the student
# since the server has no idea what grade to assign
grading.grade(problem, stdout_file, result_file, grade_file, ref_stdout_file, None)
# Build the final score file
print("Building final score for " + student_dir)
graded_files = [f for f in next(os.walk(student_dir))[2]]
grading.build_final_score(graded_files, reference_soln, None)
# Upload their grade
grading.upload_grade(c, False)
# CD back up out of the student's directory
os.chdir("..")
if student_id not in student_submission_count:
student_submission_count[student_id] = 1
else:
student_submission_count[student_id] += 1
now = datetime.datetime.now()
print("Students graded for {}".format(now))
# count the number of warnings and errors
grading.count_warnings_errors(cl_stdout_file, result_file)
# Open the student programs and outputs for final grading
elif sys.argv[2] == 'grade' and not grading.check_grading(grade_file):
grading.grade(problem, stdout_file, result_file, grade_file, ref_stdout_file, editor)
# Check that a final grade for the assignment has been entered in the grade file
if not grading.check_grading(grade_file):
print("Error! No grade assigned for " + name)
elif sys.argv[2] == 'regrade':
grading.regrade(problem, stdout_file, result_file, grade_file, ref_stdout_file, editor)
# Check that a final grade for the assignment has been entered in the grade file
if not grading.check_grading(grade_file):
print("Error! No grade assigned for " + name)
if sys.argv[2] == 'grade' or sys.argv[2] == 'regrade':
graded_files = [f for f in next(os.walk(student_dir))[2]]
grading.build_final_score(graded_files, reference_soln, editor)
# Compute final score statistics and log them
if sys.argv[2] == 'stats':
print("Score Summary:\n\tMean = {}\n\tStd dev = {}\n\tMedian = {}\n\tMax = {}\n\tMin = {}\n"
.format(statistics.mean(grade_stats), statistics.stdev(grade_stats),
statistics.median(grade_stats), max(grade_stats), min(grade_stats)))
plt.hist(grade_stats, bins=20)
plt.title("Histogram")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.show()