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	Merge branch 'WEI2023' into 'main'
Préparation WEI 2023 See merge request bde/nk20!212
This commit is contained in:
		@@ -2,11 +2,11 @@
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# SPDX-License-Identifier: GPL-3.0-or-later
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					# SPDX-License-Identifier: GPL-3.0-or-later
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from .base import WEISurvey, WEISurveyInformation, WEISurveyAlgorithm
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					from .base import WEISurvey, WEISurveyInformation, WEISurveyAlgorithm
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from .wei2022 import WEISurvey2022
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					from .wei2023 import WEISurvey2023
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__all__ = [
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					__all__ = [
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    'WEISurvey', 'WEISurveyInformation', 'WEISurveyAlgorithm', 'CurrentSurvey',
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					    'WEISurvey', 'WEISurveyInformation', 'WEISurveyAlgorithm', 'CurrentSurvey',
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]
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					]
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CurrentSurvey = WEISurvey2022
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					CurrentSurvey = WEISurvey2023
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										296
									
								
								apps/wei/forms/surveys/wei2023.py
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										296
									
								
								apps/wei/forms/surveys/wei2023.py
									
									
									
									
									
										Normal file
									
								
							@@ -0,0 +1,296 @@
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					# Copyright (C) 2018-2023 by BDE ENS Paris-Saclay
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					# SPDX-License-Identifier: GPL-3.0-or-later
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					import time
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					from functools import lru_cache
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					from random import Random
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					from django import forms
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					from django.db import transaction
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					from django.db.models import Q
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					from django.utils.translation import gettext_lazy as _
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					from .base import WEISurvey, WEISurveyInformation, WEISurveyAlgorithm, WEIBusInformation
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					from ...models import WEIMembership
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					WORDS = [
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						'ABBA', 'After', 'Alcoolique anonyme', 'Ambiance festive', 'Années 2000', 'Apéro', 'Art',
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						'Baby foot billard biere pong', 'BBQ', 'Before', 'Bière pong', 'Bon enfant', 'Calme', 'Canapé',
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						'Chanson paillarde', 'Chanson populaire', 'Chartreuse', 'Cheerleader', 'Chill', 'Choré',
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						'Cinéma', 'Cocktail', 'Comédie musicle', 'Commercial', 'Copaing', 'Danse', 'Dancefloor',
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						'Electro', 'Fanfare', 'Gin tonic', 'Inclusif', 'Jazz', "Jeux d'alcool", 'Jeux de carte',
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						'Jeux de rôle', 'Jeux de société', 'JUL', 'Jus de fruit', 'Kfet', 'Kleptomanie assurée',
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						'LGBTQ+', 'Livre', 'Morning beer', 'Musique', 'NAPS', 'Paillettes', 'Pastis', 'Paté Hénaff',
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						'Peluche', 'Pena baiona', "Peu d'alcool", 'Pilier de bar', 'PMU', 'Poulpe', 'Punch', 'Rap',
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						'Réveil', 'Rock', 'Rugby', 'Sandwich', 'Serge', 'Shot', 'Sociable', 'Spectacle', 'Techno',
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						'Techno house', 'Thérapie Taxi', 'Tradition kchanaises', 'Troisième mi-temps', 'Turn up',
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						'Vodka', 'Vodka pomme', 'Volley', 'Vomi stratégique'
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					]
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					class WEISurveyForm2023(forms.Form):
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					    """
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					    Survey form for the year 2023.
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					    Members choose 20 words, from which we calculate the best associated bus.
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					    """
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					    word = forms.ChoiceField(
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					        label=_("Choose a word:"),
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					        widget=forms.RadioSelect(),
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					    )
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					    def set_registration(self, registration):
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					        """
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					        Filter the bus selector with the buses of the current WEI.
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					        """
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					        information = WEISurveyInformation2023(registration)
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					        if not information.seed:
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					            information.seed = int(1000 * time.time())
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					            information.save(registration)
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					            registration._force_save = True
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					            registration.save()
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					        if self.data:
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					            self.fields["word"].choices = [(w, w) for w in WORDS]
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					            if self.is_valid():
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					                return
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					        rng = Random((information.step + 1) * information.seed)
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					        words = None
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					        buses = WEISurveyAlgorithm2023.get_buses()
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					        informations = {bus: WEIBusInformation2023(bus) for bus in buses}
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					        scores = sum((list(informations[bus].scores.values()) for bus in buses), [])
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					        average_score = sum(scores) / len(scores)
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					        preferred_words = {bus: [word for word in WORDS
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					                                 if informations[bus].scores[word] >= average_score]
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					                           for bus in buses}
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					        while words is None or len(set(words)) != len(words):
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					            # Ensure that there is no the same word 2 times
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					            words = [rng.choice(words) for _ignored2, words in preferred_words.items()]
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					        rng.shuffle(words)
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					        words = [(w, w) for w in words]
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					        self.fields["word"].choices = words
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					class WEIBusInformation2023(WEIBusInformation):
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					    """
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					    For each word, the bus has a score
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					    """
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					    scores: dict
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					    def __init__(self, bus):
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					        self.scores = {}
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					        for word in WORDS:
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					            self.scores[word] = 0.0
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					        super().__init__(bus)
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					class WEISurveyInformation2023(WEISurveyInformation):
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					    """
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					    We store the id of the selected bus. We store only the name, but is not used in the selection:
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					    that's only for humans that try to read data.
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					    """
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					    # Random seed that is stored at the first time to ensure that words are generated only once
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					    seed = 0
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					    step = 0
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					    def __init__(self, registration):
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					        for i in range(1, 21):
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					            setattr(self, "word" + str(i), None)
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					        super().__init__(registration)
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					class WEISurvey2023(WEISurvey):
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					    """
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					    Survey for the year 2023.
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					    """
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					    @classmethod
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					    def get_year(cls):
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					        return 2023
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					    @classmethod
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					    def get_survey_information_class(cls):
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					        return WEISurveyInformation2023
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					    def get_form_class(self):
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					        return WEISurveyForm2023
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					    def update_form(self, form):
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					        """
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					        Filter the bus selector with the buses of the WEI.
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					        """
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					        form.set_registration(self.registration)
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					    @transaction.atomic
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					    def form_valid(self, form):
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					        word = form.cleaned_data["word"]
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					        self.information.step += 1
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					        setattr(self.information, "word" + str(self.information.step), word)
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					        self.save()
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					    @classmethod
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					    def get_algorithm_class(cls):
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					        return WEISurveyAlgorithm2023
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					    def is_complete(self) -> bool:
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					        """
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					        The survey is complete once the bus is chosen.
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					        """
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					        return self.information.step == 20
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					    @classmethod
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					    @lru_cache()
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					    def word_mean(cls, word):
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					        """
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					        Calculate the mid-score given by all buses.
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					        """
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					        buses = cls.get_algorithm_class().get_buses()
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					        return sum([cls.get_algorithm_class().get_bus_information(bus).scores[word] for bus in buses]) / buses.count()
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					    @lru_cache()
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					    def score(self, bus):
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					        if not self.is_complete():
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					            raise ValueError("Survey is not ended, can't calculate score")
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					        bus_info = self.get_algorithm_class().get_bus_information(bus)
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					        # Score is the given score by the bus subtracted to the mid-score of the buses.
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					        s = sum(bus_info.scores[getattr(self.information, 'word' + str(i))]
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					                - self.word_mean(getattr(self.information, 'word' + str(i))) for i in range(1, 21)) / 20
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					        return s
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					    @lru_cache()
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					    def scores_per_bus(self):
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					        return {bus: self.score(bus) for bus in self.get_algorithm_class().get_buses()}
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					    @lru_cache()
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					    def ordered_buses(self):
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					        values = list(self.scores_per_bus().items())
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					        values.sort(key=lambda item: -item[1])
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					        return values
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					    @classmethod
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					    def clear_cache(cls):
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					        cls.word_mean.cache_clear()
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					        return super().clear_cache()
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					class WEISurveyAlgorithm2023(WEISurveyAlgorithm):
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					    """
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					    The algorithm class for the year 2023.
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					    We use Gale-Shapley algorithm to attribute 1y students into buses.
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					    """
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					    @classmethod
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					    def get_survey_class(cls):
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					        return WEISurvey2023
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					    @classmethod
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					    def get_bus_information_class(cls):
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					        return WEIBusInformation2023
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					    def run_algorithm(self, display_tqdm=False):
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					        """
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					        Gale-Shapley algorithm implementation.
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					        We modify it to allow buses to have multiple "weddings".
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					        """
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					        surveys = list(self.get_survey_class()(r) for r in self.get_registrations())  # All surveys
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					        surveys = [s for s in surveys if s.is_complete()]  # Don't consider invalid surveys
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					        # Don't manage hardcoded people
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					        surveys = [s for s in surveys if not hasattr(s.information, 'hardcoded') or not s.information.hardcoded]
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					        # Reset previous algorithm run
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					        for survey in surveys:
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					            survey.free()
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					            survey.save()
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 | 
					        non_men = [s for s in surveys if s.registration.gender != 'male']
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 | 
					        men = [s for s in surveys if s.registration.gender == 'male']
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					        quotas = {}
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 | 
					        registrations = self.get_registrations()
 | 
				
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 | 
					        non_men_total = registrations.filter(~Q(gender='male')).count()
 | 
				
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 | 
					        for bus in self.get_buses():
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 | 
					            free_seats = bus.size - WEIMembership.objects.filter(bus=bus, registration__first_year=False).count()
 | 
				
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 | 
					            # Remove hardcoded people
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					            free_seats -= WEIMembership.objects.filter(bus=bus, registration__first_year=True,
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 | 
					                                                       registration__information_json__icontains="hardcoded").count()
 | 
				
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 | 
					            quotas[bus] = 4 + int(non_men_total / registrations.count() * free_seats)
 | 
				
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 | 
					
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 | 
					        tqdm_obj = None
 | 
				
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 | 
					        if display_tqdm:
 | 
				
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 | 
					            from tqdm import tqdm
 | 
				
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 | 
					            tqdm_obj = tqdm(total=len(non_men), desc="Non-hommes")
 | 
				
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 | 
					
 | 
				
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 | 
					        # Repartition for non men people first
 | 
				
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 | 
					        self.make_repartition(non_men, quotas, tqdm_obj=tqdm_obj)
 | 
				
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 | 
					
 | 
				
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 | 
					        quotas = {}
 | 
				
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 | 
					        for bus in self.get_buses():
 | 
				
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 | 
					            free_seats = bus.size - WEIMembership.objects.filter(bus=bus, registration__first_year=False).count()
 | 
				
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 | 
					            free_seats -= sum(1 for s in non_men if s.information.selected_bus_pk == bus.pk)
 | 
				
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 | 
					            # Remove hardcoded people
 | 
				
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 | 
					            free_seats -= WEIMembership.objects.filter(bus=bus, registration__first_year=True,
 | 
				
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 | 
					                                                       registration__information_json__icontains="hardcoded").count()
 | 
				
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 | 
					            quotas[bus] = free_seats
 | 
				
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 | 
					
 | 
				
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 | 
					        if display_tqdm:
 | 
				
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 | 
					            tqdm_obj.close()
 | 
				
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 | 
					
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 | 
					            from tqdm import tqdm
 | 
				
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 | 
					            tqdm_obj = tqdm(total=len(men), desc="Hommes")
 | 
				
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 | 
					
 | 
				
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 | 
					        self.make_repartition(men, quotas, tqdm_obj=tqdm_obj)
 | 
				
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 | 
					
 | 
				
			||||||
 | 
					        if display_tqdm:
 | 
				
			||||||
 | 
					            tqdm_obj.close()
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					        # Clear cache information after running algorithm
 | 
				
			||||||
 | 
					        WEISurvey2023.clear_cache()
 | 
				
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 | 
					
 | 
				
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 | 
					    def make_repartition(self, surveys, quotas=None, tqdm_obj=None):
 | 
				
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 | 
					        free_surveys = surveys.copy()  # Remaining surveys
 | 
				
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 | 
					        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()
 | 
				
			||||||
							
								
								
									
										110
									
								
								apps/wei/tests/test_wei_algorithm_2023.py
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										110
									
								
								apps/wei/tests/test_wei_algorithm_2023.py
									
									
									
									
									
										Normal file
									
								
							@@ -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 %
 | 
				
			||||||
@@ -1,4 +1,4 @@
 | 
				
			|||||||
# Copyright (C) 2018-2021 by BDE ENS Paris-Saclay
 | 
					# Copyright (C) 2018-2023 by BDE ENS Paris-Saclay
 | 
				
			||||||
# SPDX-License-Identifier: GPL-3.0-or-later
 | 
					# SPDX-License-Identifier: GPL-3.0-or-later
 | 
				
			||||||
 | 
					
 | 
				
			||||||
import subprocess
 | 
					import subprocess
 | 
				
			||||||
@@ -782,7 +782,7 @@ class TestDefaultWEISurvey(TestCase):
 | 
				
			|||||||
        WEISurvey.update_form(None, None)
 | 
					        WEISurvey.update_form(None, None)
 | 
				
			||||||
 | 
					
 | 
				
			||||||
        self.assertEqual(CurrentSurvey.get_algorithm_class().get_survey_class(), CurrentSurvey)
 | 
					        self.assertEqual(CurrentSurvey.get_algorithm_class().get_survey_class(), CurrentSurvey)
 | 
				
			||||||
        self.assertEqual(CurrentSurvey.get_year(), 2022)
 | 
					        self.assertEqual(CurrentSurvey.get_year(), 2023)
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					
 | 
				
			||||||
class TestWeiAPI(TestAPI):
 | 
					class TestWeiAPI(TestAPI):
 | 
				
			||||||
 
 | 
				
			|||||||
		Reference in New Issue
	
	Block a user