JOJ/Joint-Teapot
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feat: better grade upload

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张泊明518370910136 2021-10-30 19:52:56 +08:00
parent a52ab405cf
commit d6ee159a70
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3 changed files with 82 additions and 21 deletions
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10
joint_teapot/__main__.py
View File

@ -118,12 +118,12 @@ def prepare_assignment_dir(dir_or_zip_file: Path) -> None:
@app.command(
"upload-assignment-scores",
help="upload assignment scores to canvas from score file (SCORE.txt by default), "
+ "read the first line as score, the rest as comments",
"upload-assignment-grades",
help="upload assignment grades to canvas from grade file (GRADE.txt by default), "
+ "read the first line as grade, the rest as comments",
)
def upload_assignment_scores(dir: Path, assignment_name: str) -> None:
tea.pot.canvas.upload_assignment_scores(str(dir), assignment_name)
def upload_assignment_grades(dir: Path, assignment_name: str) -> None:
tea.pot.canvas.upload_assignment_grades(str(dir), assignment_name)
if __name__ == "__main__":

17
joint_teapot/utils/main.py
View File

@ -1,3 +1,4 @@
import math
from typing import Callable, Iterable, Optional, TypeVar
_T = TypeVar("_T")
@ -7,3 +8,19 @@ def first(
iterable: Iterable[_T], condition: Callable[[_T], bool] = lambda x: True
) -> Optional[_T]:
return next((x for x in iterable if condition(x)), None)
def percentile(
N: Iterable[float], percent: float, key: Callable[[float], float] = lambda x: x
) -> Optional[float]:
if not N:
return None
N = sorted(N)
k = (len(N) - 1) * percent
f = math.floor(k)
c = math.ceil(k)
if f == c:
return key(N[int(k)])
d0 = key(N[int(f)]) * (c - k)
d1 = key(N[int(c)]) * (k - f)
return d0 + d1

70
joint_teapot/workers/canvas.py
View File

@ -1,13 +1,15 @@
import os
from glob import glob
from typing import cast
from canvasapi import Canvas as PyCanvas
from canvasapi.assignment import Assignment
from patoolib import extract_archive
from patoolib.util import PatoolError
from joint_teapot.config import settings
from joint_teapot.utils.logger import logger
from joint_teapot.utils.main import first
from joint_teapot.utils.main import first, percentile
class Canvas:
@ -15,7 +17,7 @@ class Canvas:
self,
access_token: str = settings.canvas_access_token,
course_id: int = settings.canvas_course_id,
score_filename: str = "SCORE.txt",
grade_filename: str = "SCORE.txt",
):
self.canvas = PyCanvas("https://umjicanvas.com/", access_token)
self.course = self.canvas.get_course(course_id)
@ -33,11 +35,11 @@ class Canvas:
logger.debug(f"Canvas assignments loaded")
self.groups = self.course.get_groups()
logger.debug(f"Canvas groups loaded")
self.score_filename = score_filename
self.grade_filename = grade_filename
logger.debug("Canvas initialized")
def prepare_assignment_dir(
self, dir_or_zip_file: str, create_score_file: bool = True
self, dir_or_zip_file: str, create_grade_file: bool = True
) -> None:
if os.path.isdir(dir_or_zip_file):
dir = dir_or_zip_file
@ -52,8 +54,10 @@ class Canvas:
new_path = os.path.join(dir, v)
if not os.path.exists(new_path):
os.mkdir(new_path)
if create_score_file:
open(os.path.join(new_path, self.score_filename), mode="w")
if create_grade_file:
grade_file_path = os.path.join(new_path, self.grade_filename)
if not os.path.exists(grade_file_path):
open(grade_file_path, mode="w")
late_students = set()
submitted_ids = set()
for path in glob(os.path.join(dir, "*")):
@ -87,30 +91,70 @@ class Canvas:
if late_students:
tmp = ", ".join([str(student) for student in late_students])
logger.info(f"Late student(s): {tmp}")
if create_score_file:
open(os.path.join(target_dir, self.score_filename), mode="w")
def upload_assignment_scores(self, dir: str, assignment_name: str) -> None:
def upload_assignment_grades(self, dir: str, assignment_name: str) -> None:
assignment = first(self.assignments, lambda x: x.name == assignment_name)
if assignment is None:
logger.info(f"Canvas assignment {assignment_name} not found")
return
assignment = cast(Assignment, assignment)
submission_dict = {}
float_grades = []
is_float_grades = True
for submission in assignment.get_submissions():
student = first(self.students, lambda x: x.id == submission.user_id)
if student is None:
continue
score_file_path = os.path.join(
dir, student.sis_login_id, self.score_filename
grade_file_path = os.path.join(
dir, student.sis_login_id, self.grade_filename
)
score, *comments = list(open(score_file_path))
try:
grade, *comments = list(open(grade_file_path))
grade = grade.strip()
try:
float_grades.append(float(grade))
except ValueError:
is_float_grades = False
data = {
"submission": {"posted_grade": float(score)},
"submission": {"posted_grade": grade},
"comment": {"text_comment": "".join(comments)},
}
submission_dict[(student, submission)] = data
comment_no_newline = (
data["comment"]["text_comment"].strip().replace("\n", " ")
)
logger.info(
f"Grade file parsed for {assignment} {student}: "
f"grade: {data['submission']['posted_grade']}, "
f'comment: "{comment_no_newline}"'
)
except Exception:
logger.error(f"Can not parse grade file {grade_file_path}")
return
for (student, submission), data in submission_dict.items():
logger.info(
f"Uploading grade for {assignment} {student}: {data.__repr__()}"
)
submission.edit(**data)
if is_float_grades and float_grades:
summary = [
min(float_grades),
percentile(float_grades, 0.25),
percentile(float_grades, 0.5),
percentile(float_grades, 0.75),
max(float_grades),
]
average_grade = sum(float_grades) / len(float_grades)
logger.info(
f"Grades summary: "
f"Min: {summary[0]:.2f}, "
f"Q1: {summary[1]:.2f}, "
f"Q2: {summary[2]:.2f}, "
f"Q3: {summary[3]:.2f}, "
f"Max: {summary[4]:.2f}, "
f"Average: {average_grade:.2f}"
)
logger.info(f"Canvas assginemnt {assignment} grades upload succeed")
if __name__ == "__main__":