def rate():
user = validate_user()
question_id = request.args.get("id")
tasks = get_peer_tasks_for_student(question_id, user.stuid)
tasks = [t for t in tasks if t.score is not None]
return render_template("rate.html",
grading_tasks=tasks,
options=options)
def update_hw_grades(user, homeworks):
"""
helper function that computes user's grades on homeworks,
returns a list of uncompleted peer reviews
"""
# keep track of to-do list for peer reviews
to_do = defaultdict(int)
# keep track of the peer review corresponding to each question
prq_map = {}
for prq in get_peer_review_questions():
prq.set_metadata()
prq_map[prq.question_id] = prq
for hw in homeworks:
# skip if homework not due yet
if hw.due_date > pdt_now():
continue
# iterate over questions
for q in hw.questions:
# check if q is a question that is peer-reviewed
if q.id in prq_map:
# if grading tasks haven't been assigned
if not get_all_peer_tasks(q.id):
# get corresponding Peer Review object, instantiate with data from XML
prq = prq_map[q.id]
# get list of all students who responded, then shuffle
responders = [
r.stuid for r in get_all_responses_to_question(q.id)
]
import random
random.seed(q.id)
random.shuffle(responders)
# import engine
from base import engine
# assign peer grading tasks, if applicable
# (self grading tasks are assigned individually, on the fly)
tasks = []
m, n = len(prq.peer_pts), len(responders)
for i, stuid in enumerate(responders):
for offset in [
k * (k + 1) / 2 for k in range(1, m + 1)
]:
j = (i + offset) % n
tasks.append({
"grader": stuid,
"student": responders[j],
"question_id": q.id
})
engine.execute(GradingTask.__table__.insert(), tasks)
# if question itself is a peer review question
elif isinstance(q, PeerReview):
# compute updated score for student
response = get_last_question_response(q.question_id,
user.stuid)
if response:
tasks = get_peer_tasks_for_student(q.question_id,
user.stuid)
scores = [t.score for t in tasks if t.score is not None]
new_score = sorted(scores)[len(scores) //
2] if scores else None
if response.score is None:
response.score = new_score
response.comments = "Click <a href='rate?id=%d' target='_blank'>here</a> to view comments." % q.question_id
# check that student has rated all the peer reviews
for task in tasks:
if task.score is not None and task.rating is None:
to_do[response.question.homework] += 1
# update student's grade on the homework
calculate_grade(user, hw)
return to_do
def rate():
user = validate_user()
question_id = request.args.get("id")
tasks = get_peer_tasks_for_student(question_id, user.stuid)
tasks = [t for t in tasks if t.score is not None]
return render_template("rate.html", grading_tasks=tasks, options=options)
def update_hw_grades(user, homeworks):
"""
helper function that computes user's grades on homeworks,
returns a list of uncompleted peer reviews
"""
# keep track of to-do list for peer reviews
to_do = defaultdict(int)
# keep track of the peer review corresponding to each question
prq_map = {}
for prq in get_peer_review_questions():
prq.set_metadata()
prq_map[prq.question_id] = prq
for hw in homeworks:
# skip if homework not due yet
if hw.due_date > pdt_now():
continue
# iterate over questions
for q in hw.questions:
# check if q is a question that is peer-reviewed
if q.id in prq_map:
# if grading tasks haven't been assigned
if not get_all_peer_tasks(q.id):
# get corresponding Peer Review object, instantiate with data from XML
prq = prq_map[q.id]
# get list of all students who responded, then shuffle
responders = [r.stuid for r in get_all_responses_to_question(q.id)]
import random
random.seed(q.id)
random.shuffle(responders)
# import engine
from base import engine
# assign peer grading tasks, if applicable
# (self grading tasks are assigned individually, on the fly)
tasks = []
m, n = len(prq.peer_pts), len(responders)
for i, stuid in enumerate(responders):
for offset in [k*(k+1)/2 for k in range(1, m+1)]:
j = (i + offset) % n
tasks.append({"grader": stuid, "student": responders[j], "question_id": q.id})
engine.execute(GradingTask.__table__.insert(), tasks)
# if question itself is a peer review question
elif isinstance(q, PeerReview):
# compute updated score for student
response = get_last_question_response(q.question_id, user.stuid)
if response:
tasks = get_peer_tasks_for_student(q.question_id, user.stuid)
scores = [t.score for t in tasks if t.score is not None]
new_score = sorted(scores)[len(scores) // 2] if scores else None
if response.score is None:
response.score = new_score
response.comments = "Click <a href='rate?id=%d' target='_blank'>here</a> to view comments." % q.question_id
# check that student has rated all the peer reviews
for task in tasks:
if task.score is not None and task.rating is None:
to_do[response.question.homework] += 1
# update student's grade on the homework
calculate_grade(user, hw)
return to_do
