mirror of https://gitlab.crans.org/bde/nk20
Préparation WEI 2023
This commit is contained in:
parent
d5819ac562
commit
52fef1df42
|
@ -2,11 +2,11 @@
|
|||
# SPDX-License-Identifier: GPL-3.0-or-later
|
||||
|
||||
from .base import WEISurvey, WEISurveyInformation, WEISurveyAlgorithm
|
||||
from .wei2022 import WEISurvey2022
|
||||
from .wei2023 import WEISurvey2023
|
||||
|
||||
|
||||
__all__ = [
|
||||
'WEISurvey', 'WEISurveyInformation', 'WEISurveyAlgorithm', 'CurrentSurvey',
|
||||
]
|
||||
|
||||
CurrentSurvey = WEISurvey2022
|
||||
CurrentSurvey = WEISurvey2023
|
||||
|
|
|
@ -0,0 +1,296 @@
|
|||
# Copyright (C) 2018-2023 by BDE ENS Paris-Saclay
|
||||
# SPDX-License-Identifier: GPL-3.0-or-later
|
||||
|
||||
import time
|
||||
from functools import lru_cache
|
||||
from random import Random
|
||||
|
||||
from django import forms
|
||||
from django.db import transaction
|
||||
from django.db.models import Q
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
from .base import WEISurvey, WEISurveyInformation, WEISurveyAlgorithm, WEIBusInformation
|
||||
from ...models import WEIMembership
|
||||
|
||||
WORDS = [
|
||||
'ABBA', 'After', 'Alcoolique anonyme', 'Ambiance festive', 'Années 2000', 'Apéro', 'Art',
|
||||
'Baby foot billard biere pong', 'BBQ', 'Before', 'Bière pong', 'Bon enfant', 'Calme', 'Canapé',
|
||||
'Chanson paillarde', 'Chanson populaire', 'Chartreuse', 'Cheerleader', 'Chill', 'Choré',
|
||||
'Cinéma', 'Cocktail', 'Comédie musicle', 'Commercial', 'Copaing', 'Danse', 'Dancefloor',
|
||||
'Electro', 'Fanfare', 'Gin tonic', 'Inclusif', 'Jazz', "Jeux d'alcool", 'Jeux de carte',
|
||||
'Jeux de rôle', 'Jeux de société', 'JUL', 'Jus de fruit', 'Kfet', 'Kleptomanie assurée',
|
||||
'LGBTQ+', 'Livre', 'Morning beer', 'Musique', 'NAPS', 'Paillettes', 'Pastis', 'Paté Hénaff',
|
||||
'Peluche', 'Pena baiona', "Peu d'alcool", 'Pilier de bar', 'PMU', 'Poulpe', 'Punch', 'Rap',
|
||||
'Réveil', 'Rock', 'Rugby', 'Sandwich', 'Serge', 'Shot', 'Sociable', 'Spectacle', 'Techno',
|
||||
'Techno house', 'Thérapie Taxi', 'Tradition kchanaises', 'Troisième mi-temps', 'Turn up',
|
||||
'Vodka', 'Vodka pomme', 'Volley', 'Vomi stratégique'
|
||||
]
|
||||
|
||||
|
||||
class WEISurveyForm2023(forms.Form):
|
||||
"""
|
||||
Survey form for the year 2023.
|
||||
Members choose 20 words, from which we calculate the best associated bus.
|
||||
"""
|
||||
|
||||
word = forms.ChoiceField(
|
||||
label=_("Choose a word:"),
|
||||
widget=forms.RadioSelect(),
|
||||
)
|
||||
|
||||
def set_registration(self, registration):
|
||||
"""
|
||||
Filter the bus selector with the buses of the current WEI.
|
||||
"""
|
||||
information = WEISurveyInformation2023(registration)
|
||||
if not information.seed:
|
||||
information.seed = int(1000 * time.time())
|
||||
information.save(registration)
|
||||
registration._force_save = True
|
||||
registration.save()
|
||||
|
||||
if self.data:
|
||||
self.fields["word"].choices = [(w, w) for w in WORDS]
|
||||
if self.is_valid():
|
||||
return
|
||||
|
||||
rng = Random((information.step + 1) * information.seed)
|
||||
|
||||
words = None
|
||||
|
||||
buses = WEISurveyAlgorithm2023.get_buses()
|
||||
informations = {bus: WEIBusInformation2023(bus) for bus in buses}
|
||||
scores = sum((list(informations[bus].scores.values()) for bus in buses), [])
|
||||
average_score = sum(scores) / len(scores)
|
||||
|
||||
preferred_words = {bus: [word for word in WORDS
|
||||
if informations[bus].scores[word] >= average_score]
|
||||
for bus in buses}
|
||||
while words is None or len(set(words)) != len(words):
|
||||
# Ensure that there is no the same word 2 times
|
||||
words = [rng.choice(words) for _ignored2, words in preferred_words.items()]
|
||||
rng.shuffle(words)
|
||||
words = [(w, w) for w in words]
|
||||
self.fields["word"].choices = words
|
||||
|
||||
|
||||
class WEIBusInformation2023(WEIBusInformation):
|
||||
"""
|
||||
For each word, the bus has a score
|
||||
"""
|
||||
scores: dict
|
||||
|
||||
def __init__(self, bus):
|
||||
self.scores = {}
|
||||
for word in WORDS:
|
||||
self.scores[word] = 0.0
|
||||
super().__init__(bus)
|
||||
|
||||
|
||||
class WEISurveyInformation2023(WEISurveyInformation):
|
||||
"""
|
||||
We store the id of the selected bus. We store only the name, but is not used in the selection:
|
||||
that's only for humans that try to read data.
|
||||
"""
|
||||
# Random seed that is stored at the first time to ensure that words are generated only once
|
||||
seed = 0
|
||||
step = 0
|
||||
|
||||
def __init__(self, registration):
|
||||
for i in range(1, 21):
|
||||
setattr(self, "word" + str(i), None)
|
||||
super().__init__(registration)
|
||||
|
||||
|
||||
class WEISurvey2023(WEISurvey):
|
||||
"""
|
||||
Survey for the year 2023.
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
def get_year(cls):
|
||||
return 2023
|
||||
|
||||
@classmethod
|
||||
def get_survey_information_class(cls):
|
||||
return WEISurveyInformation2023
|
||||
|
||||
def get_form_class(self):
|
||||
return WEISurveyForm2023
|
||||
|
||||
def update_form(self, form):
|
||||
"""
|
||||
Filter the bus selector with the buses of the WEI.
|
||||
"""
|
||||
form.set_registration(self.registration)
|
||||
|
||||
@transaction.atomic
|
||||
def form_valid(self, form):
|
||||
word = form.cleaned_data["word"]
|
||||
self.information.step += 1
|
||||
setattr(self.information, "word" + str(self.information.step), word)
|
||||
self.save()
|
||||
|
||||
@classmethod
|
||||
def get_algorithm_class(cls):
|
||||
return WEISurveyAlgorithm2023
|
||||
|
||||
def is_complete(self) -> bool:
|
||||
"""
|
||||
The survey is complete once the bus is chosen.
|
||||
"""
|
||||
return self.information.step == 20
|
||||
|
||||
@classmethod
|
||||
@lru_cache()
|
||||
def word_mean(cls, word):
|
||||
"""
|
||||
Calculate the mid-score given by all buses.
|
||||
"""
|
||||
buses = cls.get_algorithm_class().get_buses()
|
||||
return sum([cls.get_algorithm_class().get_bus_information(bus).scores[word] for bus in buses]) / buses.count()
|
||||
|
||||
@lru_cache()
|
||||
def score(self, bus):
|
||||
if not self.is_complete():
|
||||
raise ValueError("Survey is not ended, can't calculate score")
|
||||
|
||||
bus_info = self.get_algorithm_class().get_bus_information(bus)
|
||||
# Score is the given score by the bus subtracted to the mid-score of the buses.
|
||||
s = sum(bus_info.scores[getattr(self.information, 'word' + str(i))]
|
||||
- self.word_mean(getattr(self.information, 'word' + str(i))) for i in range(1, 21)) / 20
|
||||
return s
|
||||
|
||||
@lru_cache()
|
||||
def scores_per_bus(self):
|
||||
return {bus: self.score(bus) for bus in self.get_algorithm_class().get_buses()}
|
||||
|
||||
@lru_cache()
|
||||
def ordered_buses(self):
|
||||
values = list(self.scores_per_bus().items())
|
||||
values.sort(key=lambda item: -item[1])
|
||||
return values
|
||||
|
||||
@classmethod
|
||||
def clear_cache(cls):
|
||||
cls.word_mean.cache_clear()
|
||||
return super().clear_cache()
|
||||
|
||||
|
||||
class WEISurveyAlgorithm2023(WEISurveyAlgorithm):
|
||||
"""
|
||||
The algorithm class for the year 2023.
|
||||
We use Gale-Shapley algorithm to attribute 1y students into buses.
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
def get_survey_class(cls):
|
||||
return WEISurvey2023
|
||||
|
||||
@classmethod
|
||||
def get_bus_information_class(cls):
|
||||
return WEIBusInformation2023
|
||||
|
||||
def run_algorithm(self, display_tqdm=False):
|
||||
"""
|
||||
Gale-Shapley algorithm implementation.
|
||||
We modify it to allow buses to have multiple "weddings".
|
||||
"""
|
||||
surveys = list(self.get_survey_class()(r) for r in self.get_registrations()) # All surveys
|
||||
surveys = [s for s in surveys if s.is_complete()] # Don't consider invalid surveys
|
||||
# Don't manage hardcoded people
|
||||
surveys = [s for s in surveys if not hasattr(s.information, 'hardcoded') or not s.information.hardcoded]
|
||||
|
||||
# Reset previous algorithm run
|
||||
for survey in surveys:
|
||||
survey.free()
|
||||
survey.save()
|
||||
|
||||
non_men = [s for s in surveys if s.registration.gender != 'male']
|
||||
men = [s for s in surveys if s.registration.gender == 'male']
|
||||
|
||||
quotas = {}
|
||||
registrations = self.get_registrations()
|
||||
non_men_total = registrations.filter(~Q(gender='male')).count()
|
||||
for bus in self.get_buses():
|
||||
free_seats = bus.size - WEIMembership.objects.filter(bus=bus, registration__first_year=False).count()
|
||||
# Remove hardcoded people
|
||||
free_seats -= WEIMembership.objects.filter(bus=bus, registration__first_year=True,
|
||||
registration__information_json__icontains="hardcoded").count()
|
||||
quotas[bus] = 4 + int(non_men_total / registrations.count() * free_seats)
|
||||
|
||||
tqdm_obj = None
|
||||
if display_tqdm:
|
||||
from tqdm import tqdm
|
||||
tqdm_obj = tqdm(total=len(non_men), desc="Non-hommes")
|
||||
|
||||
# Repartition for non men people first
|
||||
self.make_repartition(non_men, quotas, tqdm_obj=tqdm_obj)
|
||||
|
||||
quotas = {}
|
||||
for bus in self.get_buses():
|
||||
free_seats = bus.size - WEIMembership.objects.filter(bus=bus, registration__first_year=False).count()
|
||||
free_seats -= sum(1 for s in non_men if s.information.selected_bus_pk == bus.pk)
|
||||
# Remove hardcoded people
|
||||
free_seats -= WEIMembership.objects.filter(bus=bus, registration__first_year=True,
|
||||
registration__information_json__icontains="hardcoded").count()
|
||||
quotas[bus] = free_seats
|
||||
|
||||
if display_tqdm:
|
||||
tqdm_obj.close()
|
||||
|
||||
from tqdm import tqdm
|
||||
tqdm_obj = tqdm(total=len(men), desc="Hommes")
|
||||
|
||||
self.make_repartition(men, quotas, tqdm_obj=tqdm_obj)
|
||||
|
||||
if display_tqdm:
|
||||
tqdm_obj.close()
|
||||
|
||||
# Clear cache information after running algorithm
|
||||
WEISurvey2023.clear_cache()
|
||||
|
||||
def make_repartition(self, surveys, quotas=None, tqdm_obj=None):
|
||||
free_surveys = surveys.copy() # Remaining surveys
|
||||
while free_surveys: # Some students are not affected
|
||||
survey = free_surveys[0]
|
||||
buses = survey.ordered_buses() # Preferences of the student
|
||||
for bus, current_score in buses:
|
||||
if self.get_bus_information(bus).has_free_seats(surveys, quotas):
|
||||
# Selected bus has free places. Put student in the bus
|
||||
survey.select_bus(bus)
|
||||
survey.save()
|
||||
free_surveys.remove(survey)
|
||||
break
|
||||
else:
|
||||
# Current bus has not enough places. Remove the least preferred student from the bus if existing
|
||||
least_preferred_survey = None
|
||||
least_score = -1
|
||||
# Find the least student in the bus that has a lower score than the current student
|
||||
for survey2 in surveys:
|
||||
if not survey2.information.valid or survey2.information.get_selected_bus() != bus:
|
||||
continue
|
||||
score2 = survey2.score(bus)
|
||||
if current_score <= score2: # Ignore better students
|
||||
continue
|
||||
if least_preferred_survey is None or score2 < least_score:
|
||||
least_preferred_survey = survey2
|
||||
least_score = score2
|
||||
|
||||
if least_preferred_survey is not None:
|
||||
# Remove the least student from the bus and put the current student in.
|
||||
# If it does not exist, choose the next bus.
|
||||
least_preferred_survey.free()
|
||||
least_preferred_survey.save()
|
||||
free_surveys.append(least_preferred_survey)
|
||||
survey.select_bus(bus)
|
||||
survey.save()
|
||||
free_surveys.remove(survey)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f"User {survey.registration.user} has no free seat")
|
||||
|
||||
if tqdm_obj is not None:
|
||||
tqdm_obj.n = len(surveys) - len(free_surveys)
|
||||
tqdm_obj.refresh()
|
|
@ -0,0 +1,110 @@
|
|||
# Copyright (C) 2018-2023 by BDE ENS Paris-Saclay
|
||||
# SPDX-License-Identifier: GPL-3.0-or-later
|
||||
|
||||
import random
|
||||
|
||||
from django.contrib.auth.models import User
|
||||
from django.test import TestCase
|
||||
|
||||
from ..forms.surveys.wei2023 import WEIBusInformation2023, WEISurvey2023, WORDS, WEISurveyInformation2023
|
||||
from ..models import Bus, WEIClub, WEIRegistration
|
||||
|
||||
|
||||
class TestWEIAlgorithm(TestCase):
|
||||
"""
|
||||
Run some tests to ensure that the WEI algorithm is working well.
|
||||
"""
|
||||
fixtures = ('initial',)
|
||||
|
||||
def setUp(self):
|
||||
"""
|
||||
Create some test data, with one WEI and 10 buses with random score attributions.
|
||||
"""
|
||||
self.wei = WEIClub.objects.create(
|
||||
name="WEI 2023",
|
||||
email="wei2023@example.com",
|
||||
date_start='2023-09-16',
|
||||
date_end='2023-09-18',
|
||||
year=2023,
|
||||
)
|
||||
|
||||
self.buses = []
|
||||
for i in range(10):
|
||||
bus = Bus.objects.create(wei=self.wei, name=f"Bus {i}", size=10)
|
||||
self.buses.append(bus)
|
||||
information = WEIBusInformation2023(bus)
|
||||
for word in WORDS:
|
||||
information.scores[word] = random.randint(0, 101)
|
||||
information.save()
|
||||
bus.save()
|
||||
|
||||
def test_survey_algorithm_small(self):
|
||||
"""
|
||||
There are only a few people in each bus, ensure that each person has its best bus
|
||||
"""
|
||||
# Add a few users
|
||||
for i in range(10):
|
||||
user = User.objects.create(username=f"user{i}")
|
||||
registration = WEIRegistration.objects.create(
|
||||
user=user,
|
||||
wei=self.wei,
|
||||
first_year=True,
|
||||
birth_date='2000-01-01',
|
||||
)
|
||||
information = WEISurveyInformation2023(registration)
|
||||
for j in range(1, 21):
|
||||
setattr(information, f'word{j}', random.choice(WORDS))
|
||||
information.step = 20
|
||||
information.save(registration)
|
||||
registration.save()
|
||||
|
||||
# Run algorithm
|
||||
WEISurvey2023.get_algorithm_class()().run_algorithm()
|
||||
|
||||
# Ensure that everyone has its first choice
|
||||
for r in WEIRegistration.objects.filter(wei=self.wei).all():
|
||||
survey = WEISurvey2023(r)
|
||||
preferred_bus = survey.ordered_buses()[0][0]
|
||||
chosen_bus = survey.information.get_selected_bus()
|
||||
self.assertEqual(preferred_bus, chosen_bus)
|
||||
|
||||
def test_survey_algorithm_full(self):
|
||||
"""
|
||||
Buses are full of first year people, ensure that they are happy
|
||||
"""
|
||||
# Add a lot of users
|
||||
for i in range(95):
|
||||
user = User.objects.create(username=f"user{i}")
|
||||
registration = WEIRegistration.objects.create(
|
||||
user=user,
|
||||
wei=self.wei,
|
||||
first_year=True,
|
||||
birth_date='2000-01-01',
|
||||
)
|
||||
information = WEISurveyInformation2023(registration)
|
||||
for j in range(1, 21):
|
||||
setattr(information, f'word{j}', random.choice(WORDS))
|
||||
information.step = 20
|
||||
information.save(registration)
|
||||
registration.save()
|
||||
|
||||
# Run algorithm
|
||||
WEISurvey2023.get_algorithm_class()().run_algorithm()
|
||||
|
||||
penalty = 0
|
||||
# Ensure that everyone seems to be happy
|
||||
# We attribute a penalty for each user that didn't have its first choice
|
||||
# The penalty is the square of the distance between the score of the preferred bus
|
||||
# and the score of the attributed bus
|
||||
# We consider it acceptable if the mean of this distance is lower than 5 %
|
||||
for r in WEIRegistration.objects.filter(wei=self.wei).all():
|
||||
survey = WEISurvey2023(r)
|
||||
chosen_bus = survey.information.get_selected_bus()
|
||||
buses = survey.ordered_buses()
|
||||
score = min(v for bus, v in buses if bus == chosen_bus)
|
||||
max_score = buses[0][1]
|
||||
penalty += (max_score - score) ** 2
|
||||
|
||||
self.assertLessEqual(max_score - score, 25) # Always less than 25 % of tolerance
|
||||
|
||||
self.assertLessEqual(penalty / 100, 25) # Tolerance of 5 %
|
Loading…
Reference in New Issue