forked from JOJ/Joint-Teapot
		
	
		
			
				
	
	
		
			171 lines
		
	
	
		
			7.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			171 lines
		
	
	
		
			7.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import os
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| from glob import glob
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| from typing import cast
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| 
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| from canvasapi import Canvas as PyCanvas
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| from canvasapi.assignment import Assignment
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| from patoolib import extract_archive
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| from patoolib.util import PatoolError
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| 
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| from joint_teapot.config import settings
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| from joint_teapot.utils.logger import logger
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| from joint_teapot.utils.main import first, percentile
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| 
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| 
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| class Canvas:
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|     def __init__(
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|         self,
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|         access_token: str = settings.canvas_access_token,
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|         course_id: int = settings.canvas_course_id,
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|         grade_filename: str = "GRADE.txt",
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|     ):
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|         self.canvas = PyCanvas("https://umjicanvas.com/", access_token)
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|         self.course = self.canvas.get_course(course_id)
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|         logger.info(f"Canvas course loaded. {self.course}")
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|         # types = ["student", "observer"]
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|         types = ["student"]
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|         self.students = self.course.get_users(enrollment_type=types, include=["email"])
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|         for attr in ["sis_login_id", "sortable_name", "name"]:
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|             if not hasattr(self.students[0], attr):
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|                 raise Exception(
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|                     f"Unable to gather students' {attr}, please contact the Canvas site admin"
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|                 )
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|         logger.debug("Canvas students loaded")
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|         self.assignments = self.course.get_assignments()
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|         logger.debug("Canvas assignments loaded")
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|         self.groups = self.course.get_groups()
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|         logger.debug("Canvas groups loaded")
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|         self.grade_filename = grade_filename
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|         logger.debug("Canvas initialized")
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| 
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|     def prepare_assignment_dir(
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|         self, dir_or_zip_file: str, create_grade_file: bool = True
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|     ) -> None:
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|         if os.path.isdir(dir_or_zip_file):
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|             assignments_dir = dir_or_zip_file
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|         else:
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|             assignments_dir = os.path.splitext(dir_or_zip_file)[0]
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|             if os.path.exists(assignments_dir):
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|                 logger.error(
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|                     f"{assignments_dir} exists, can not unzip submissions file"
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|                 )
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|                 return
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|             extract_archive(dir_or_zip_file, outdir=assignments_dir, verbosity=-1)
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|         login_ids = {stu.id: stu.login_id for stu in self.students}
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|         for v in login_ids.values():
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|             new_path = os.path.join(assignments_dir, v)
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|             if not os.path.exists(new_path):
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|                 os.mkdir(new_path)
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|             if create_grade_file:
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|                 grade_file_path = os.path.join(new_path, self.grade_filename)
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|                 if not os.path.exists(grade_file_path):
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|                     open(grade_file_path, mode="w")
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|         late_students = set()
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|         submitted_ids = set()
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|         for path in glob(os.path.join(assignments_dir, "*")):
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|             filename = os.path.basename(path)
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|             if "_" not in filename:
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|                 continue
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|             segments = filename.split("_")
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|             if segments[1] == "late":
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|                 file_id = int(segments[2])
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|             else:
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|                 file_id = int(segments[1])
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|             login_id = login_ids[file_id]
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|             target_dir = os.path.join(assignments_dir, login_id)
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|             if segments[1] == "late":
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|                 # TODO: check the delay time of late submission
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|                 if create_grade_file:
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|                     grade_file_path = os.path.join(path, self.grade_filename)
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|                     if os.path.exists(grade_file_path):
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|                         open(grade_file_path, mode="a").write("LATE SUBMISSION\n")
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|                 student = first(self.students, lambda x: x.login_id == login_id)
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|                 late_students.add(student)
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|             try:
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|                 extract_archive(path, outdir=target_dir, verbosity=-1)
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|                 os.remove(path)
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|             except PatoolError:
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|                 os.rename(path, os.path.join(target_dir, filename))
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|             submitted_ids.add(login_id)
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|         if login_ids:
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|             no_submission_students = [
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|                 first(self.students, lambda x: x.login_id == login_id)
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|                 for login_id in set(login_ids.values()) - submitted_ids
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|             ]
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|             if no_submission_students:
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|                 tmp = ", ".join([str(student) for student in no_submission_students])
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|                 logger.info(f"No submission student(s): {tmp}")
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|         if late_students:
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|             tmp = ", ".join([str(student) for student in late_students])
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|             logger.info(f"Late student(s): {tmp}")
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| 
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|     def upload_assignment_grades(
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|         self, assignments_dir: str, assignment_name: str
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|     ) -> None:
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|         assignment = first(self.assignments, lambda x: x.name == assignment_name)
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|         if assignment is None:
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|             logger.info(f"Canvas assignment {assignment_name} not found")
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|             return
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|         assignment = cast(Assignment, assignment)
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|         submission_dict = {}
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|         float_grades = []
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|         is_float_grades = True
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|         for submission in assignment.get_submissions():
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|             student = first(self.students, lambda x: x.id == submission.user_id)
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|             if student is None:
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|                 continue
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|             grade_file_path = os.path.join(
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|                 assignments_dir, student.sis_login_id, self.grade_filename
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|             )
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|             try:
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|                 grade, *comments = list(open(grade_file_path))
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|                 grade = grade.strip()
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|                 try:
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|                     float_grades.append(float(grade))
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|                 except ValueError:
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|                     is_float_grades = False
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|                 data = {
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|                     "submission": {"posted_grade": grade},
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|                     "comment": {"text_comment": "".join(comments)},
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|                 }
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|                 submission_dict[(student, submission)] = data
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|                 comment_no_newline = (
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|                     data["comment"]["text_comment"].strip().replace("\n", "  ")
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|                 )
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|                 logger.info(
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|                     f"Grade file parsed for {assignment} {student}: "
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|                     f"grade: {data['submission']['posted_grade']}, "
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|                     f'comment: "{comment_no_newline}"'
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|                 )
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|             except Exception:
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|                 logger.error(f"Can not parse grade file {grade_file_path}")
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|                 return
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|         for (student, submission), data in submission_dict.items():
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|             logger.info(
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|                 f"Uploading grade for {assignment} {student}: {data.__repr__()}"
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|             )
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|             submission.edit(**data)
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|         if is_float_grades and float_grades:
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|             summary = [
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|                 min(float_grades),
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|                 percentile(float_grades, 0.25),
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|                 percentile(float_grades, 0.5),
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|                 percentile(float_grades, 0.75),
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|                 max(float_grades),
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|             ]
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|             average_grade = sum(float_grades) / len(float_grades)
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|             logger.info(
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|                 f"Grades summary: "
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|                 f"Min: {summary[0]:.2f}, "
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|                 f"Q1: {summary[1]:.2f}, "
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|                 f"Q2: {summary[2]:.2f}, "
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|                 f"Q3: {summary[3]:.2f}, "
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|                 f"Max: {summary[4]:.2f}, "
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|                 f"Average: {average_grade:.2f}"
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|             )
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|         logger.info(f"Canvas assginemnt {assignment} grades upload succeed")
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| 
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| 
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| if __name__ == "__main__":
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|     canvas = Canvas()
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