Ross
365 lines
9.6 KiB
Python
365 lines
9.6 KiB
Python
from django.shortcuts import render, get_object_or_404, redirect
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from django.views.decorators.csrf import csrf_exempt
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from django import forms
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# from django.contrib.auth.models import User
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from django.contrib.auth.decorators import login_required, user_passes_test
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from django.contrib.auth.models import User
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from django.contrib.auth.mixins import LoginRequiredMixin
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from django.views.generic.edit import CreateView, UpdateView, DeleteView
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from django.views.generic import ListView
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from django.db.models.functions import Lower
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from django.core.cache import cache
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from django.urls import reverse_lazy, reverse
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from django.http import Http404, JsonResponse
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from django.http import HttpResponseRedirect, HttpResponse
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from .models import Question, Category, Exam, CidUserAnswer
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from collections import defaultdict
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import os
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import base64
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import mimetypes
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import json
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import statistics
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import plotly.express as px
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def question_list(request):
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questions = Question.objects.all()
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return render(request, "physics/question_list.html",
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{"questions": questions})
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@login_required
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def index(request):
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exams = Exam.objects.all()
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return render(request, "physics/index.html", {"exams": exams})
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@login_required
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def question_detail(request, pk):
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question = get_object_or_404(Question, pk=pk)
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return render(request, "physics/question_detail.html",
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{"question": question})
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@login_required
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def exam_list(request):
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exams = Exam.objects.all()
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return render(request, "physics/exam_list.html", {"exams": exams})
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@login_required
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def exam_overview(request, pk):
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print(type(pk))
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print(Exam.objects.all())
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exams = Exam.objects.all()
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print("test", Exam.objects.all().get(id=pk))
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exam = get_object_or_404(Exam, pk=pk)
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print("exam", exam)
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questions = exam.exam_questions.all()
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question_number = len(questions)
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return render(
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request,
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"physics/exam_overview.html",
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{
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"exam": exam,
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"questions": questions,
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"question_number": question_number
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},
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)
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def exam_toggle_results_published(request, pk):
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if request.is_ajax() and request.method=='POST':
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exam = get_object_or_404(Exam, pk=pk)
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exam.publish_results = True if request.POST.get('publish_results') == 'true' else False
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exam.save()
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data = {'status':'success', 'publish_results':exam.publish_results}
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return JsonResponse(data, status=200)
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else:
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data = {'status':'error'}
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return JsonResponse(data, status=400)
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def exam_toggle_active(request, pk):
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if request.is_ajax() and request.method=='POST':
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exam = get_object_or_404(Exam, pk=pk)
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exam.active = True if request.POST.get('active') == 'true' else False
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exam.save()
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data = {'status':'success', 'active':exam.active}
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return JsonResponse(data, status=200)
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else:
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data = {'status':'error'}
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return JsonResponse(data, status=400)
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def active_exams(request):
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exams = Exam.objects.all()
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print(exams)
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active_exams = []
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for exam in exams:
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if exam.active:
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active_exams.append(exam)
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return render(request, "physics/available_exam_list.html", {"exams": active_exams})
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@login_required
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def exam_scores_cid(request, pk):
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exam = get_object_or_404(Exam, pk=pk)
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questions = exam.exam_questions.all()
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cids = (CidUserAnswer.objects.filter(question__in=questions).values_list(
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"cid", flat=True).distinct())
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user_answers_and_marks = defaultdict(list)
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user_answers_marks = defaultdict(list)
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user_answers = defaultdict(list)
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user_names = {}
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unmarked = set()
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# Loop through all candidates
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for cid in cids:
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# Convoluted (probably...)
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user_names[cid] = cid
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for q in questions:
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# Get user answer
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s = q.cid_user_answers.filter(cid=cid).first()
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if not s:
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# skip if no answer
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user_answers_marks[cid].append(0)
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user_answers[cid].append("")
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continue
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ans = s.get_answers()
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answer_scores = s.get_answer_scores()
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user_answers[cid].append(ans)
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user_answers_marks[cid].append(answer_scores)
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user_answers_and_marks[cid].append((ans, answer_scores))
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user_scores = {}
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for user in user_answers_marks:
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user_scores[user] = sum([sum(i) for i in user_answers_marks[user]])
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user_scores_list = list(user_scores.values())
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if len(user_scores_list) < 1:
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mean = 0
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median = 0
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mode = 0
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fig_html = ""
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else:
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mean = statistics.mean(user_scores_list)
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median = statistics.median(user_scores_list)
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try:
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mode = statistics.mode(user_scores_list)
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except statistics.StatisticsError:
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mode = "No unique mode"
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df = user_scores_list
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fig = px.histogram(df, x=0, title="Distribution of scores", labels={"0": "Score"}, height=400, width=600)
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fig_html = fig.to_html()
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total = len(questions)
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return render(
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request,
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"physics/exam_scores.html",
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{
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"exam": exam,
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"unmarked": unmarked,
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"questions": questions,
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"user_answers": dict(user_answers),
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"user_answers_marks": dict(user_answers_marks),
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"user_scores": user_scores,
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"user_names": user_names,
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"user_answers_and_marks": user_answers_and_marks,
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"mean": mean,
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"median": median,
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"mode": mode,
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"plot": fig_html,
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},
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)
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def exam_scores_cid_user(request, pk, sk):
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exam = get_object_or_404(Exam, pk=pk)
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# TODO:Need some kind of test for cid
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cid = sk
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questions = exam.exam_questions.all()
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answers_and_marks = []
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answers_marks = []
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answers = []
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for q in questions:
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# Get user answer
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user_answer = q.cid_user_answers.filter(cid=cid).first()
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ans = user_answer.get_answers()
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answer_scores = user_answer.get_answer_scores()
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correct_answers = q.get_answers()
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if not exam.publish_results:
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correct_answers = ("*****", "*****", "*****", "*****", "*****")
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answer_scores = (0, 0, 0, 0, 0)
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answers.append(ans)
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answers_marks.append(answer_scores)
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merged_ans = zip(q.get_questions(), ans, answer_scores, correct_answers)
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answers_and_marks.append((q, merged_ans))
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total_score = sum(sum(i) for i in answers_marks)
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max_score = len(questions) * 5
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return render(
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request,
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"physics/exam_scores_user.html",
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{
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"exam": exam,
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"cid": cid,
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"questions": questions,
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"answers": answers,
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"answers_marks": answers_marks,
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"total_score": total_score,
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"max_score": max_score,
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"answers_and_marks": answers_and_marks,
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},
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)
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def exam_take(request, pk):
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exam = get_object_or_404(Exam, pk=pk)
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if not exam.active:
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raise Http404("Exam not found")
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questions = exam.exam_questions.all()
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return render(
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request,
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"physics/exam_take.html",
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{
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"exam": exam,
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"questions": questions,
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},
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)
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@csrf_exempt
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def postExamAnswers(request):
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if request.is_ajax and request.method == "POST":
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n = 0
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# horrible but it works
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for k in request.POST.dict():
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print(k)
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ret = loadJsonAnswer(json.loads(k))
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if ret is not True:
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return ret
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# print(UserAnswer.objects.filter(exam__id=q["eid"]))
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# print(request.urlencode())
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return JsonResponse({"success": True})
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return JsonResponse({"success": False, "error": "Invalid data"})
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def loadJsonAnswer(answer):
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# As access is not restricted make sure the data appears valid
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if (not isinstance(answer["cid"],
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int)) or (not isinstance(answer["eid"], int)
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):
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return JsonResponse({"success": False, "error": "invalid"})
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# The model should catch invalid data but this should be less intensive
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max_int = 10000000
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if answer["cid"] > max_int or answer["eid"] > max_int:
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return JsonResponse({"success": False})
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exam = get_object_or_404(Exam, pk=answer["eid"])
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if not exam.active:
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return JsonResponse({
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"success": False,
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"error": "No active exam: {}".format(answer["eid"])
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})
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questions = defaultdict(dict)
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for q, n, a in answer["ans"]:
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questions[q][n] = a
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pass
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for qid in questions:
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exiting_answers = CidUserAnswer.objects.filter(question__id=qid,
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exam__id=answer["eid"],
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cid=answer["cid"])
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a = questions[qid]["a"]
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b = questions[qid]["b"]
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c = questions[qid]["c"]
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d = questions[qid]["d"]
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e = questions[qid]["e"]
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if not exiting_answers:
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ans = CidUserAnswer(a=a, b=b, c=c, d=d, e=e, cid=answer["cid"])
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ans.question_id = qid
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ans.exam_id = answer["eid"]
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ans.full_clean()
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ans.save()
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else:
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# Update an existing answer
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# should never be more than one (famous last words)
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ans = exiting_answers[0]
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ans.a = a
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ans.b = b
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ans.c = c
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ans.d = d
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ans.e = e
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ans.full_clean()
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ans.save()
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return True
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