I'm trying to create a high score statistic table/list for a quiz, where the table/list is supposed to be showing the percentage of (or total) correct guesses on a person which was to be guessed on. To elaborate further, these are the models which are used.
The Quiz model:
class Quiz(models.Model):
participants = models.ManyToManyField(
User,
through="Participant",
through_fields=("quiz", "correct_user"),
blank=True,
related_name="related_quiz",
)
fake_users = models.ManyToManyField(User, related_name="quiz_fakes")
user_quizzed = models.ForeignKey(
User, related_name="user_taking_quiz", on_delete=models.CASCADE, null=True
)
time_started = models.DateTimeField(default=timezone.now)
time_end = models.DateTimeField(blank=True, null=True)
final_score = models.IntegerField(blank=True, default=0)
This model does also have some properties; I deem them to be unrelated to the problem at hand.
The Participant model:
class Participant(models.Model): # QuizAnswer FK -> QUIZ
guessed_user = models.ForeignKey(
User, on_delete=models.CASCADE, related_name="clicked_in_quiz", null=True
)
correct_user = models.ForeignKey(
User, on_delete=models.CASCADE, related_name="solution_in_quiz", null=True
)
quiz = models.ForeignKey(
Quiz, on_delete=models.CASCADE, related_name="participants_in_quiz"
)
@property
def correct(self):
return self.guessed_user == self.correct_user
To iterate through what I am trying to do, I'll try to explain how I'm thinking this should work:
User
in User.objects.all()
, find all participant
objects where the user.id
equals correct_user
(from participant
model)participant
object, evaluate if correct_user
==guessed_user
participant
object where the above comparison is True
for the User
, represented by a field sum_of_correct_guesses
User
, sum_of_correct_guesses
]^Now ideally this should be percentage_of_correct_guesses
, but that is an afterthought which should be easy enough to change by doing sum_of_correct_guesses
/ sum n times of that person being a guess.
Now I've even made some pseudocode for a single person to illustrate to myself roughly how it should work using python arithmetics
# PYTHON PSEUDO QUERY ---------------------
person = get_object_or_404(User, pk=3) # Example-person
y = Participant.objects.filter(
correct_user=person
) # Find participant-objects where person is used as guess
y_corr = [] # empty list to act as "queryset" in for-loop
for el in y: # for each participant object
if el.correct: # if correct_user == guessed_user
y_corr.append(el) # add to queryset
y_percentage_corr = len(y_corr) / len(y) # do arithmetic division
print("Percentage correct: ", y_percentage_corr) # debug-display
# ---------------------------------------------
What I've tried (with no success so far), is to use an ExtensionWrapper with Count()
and Q
object:
percentage_correct_guesses = ExpressionWrapper(
Count("pk", filter=Q(clicked_in_quiz=F("id")), distinct=True)
/ Count("solution_in_quiz"),
output_field=fields.DecimalField())
all_users = (
User.objects.all().annotate(score=percentage_correct_guesses).order_by("score"))
Any help or directions to resources on how to do this is greatly appreciated :))
I found an answer while looking around for related problems: Django 1.11 Annotating a Subquery Aggregate
What I've done is:
OuterRef()
which points to a User
and checks if User
is the same as correct_person
and also a comparison between guessed_person
and correct_person
, outputs a value correct_user
in a queryset for all elements which the filter accepts.correct_user
in the filtered queryset.User
based on the annotated-count, this is the annotation that really drives the whole operation. Notice how OuterRef()
and Subquery
are used to tell the filter which user is supposed to be correct_user
.Below is the code snippet which I made it work with, it looks very similar to the answer-post in the above linked question:
from django.db.models import Count, OuterRef, Subquery, F, Q
crit1 = Q(correct_user=OuterRef('pk'))
crit2 = Q(correct_user=F('guessed_user'))
compare_participants = Participant.objects.filter(crit1 & crit2).order_by().values('correct_user')
count_occurrences = compare_participants.annotate(c=Count('*')).values('c')
most_correctly_guessed_on = (
User.objects.annotate(correct_clicks=Subquery(count_occurrences))
.values('first_name', 'correct_clicks')
.order_by('-correct_clicks')
)
return most_correctly_guessed_on
This works wonderfully, thanks to Oli.