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Code Issues Releases Wiki Activity

Changed score calculation in survey

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This commit is contained in:
Ehouarn
2025-07-23 16:48:59 +02:00
parent 296d021d54
commit bfa5734d55
5 changed files with 240 additions and 55 deletions
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18
apps/wei/tests/test_wei_algorithm_2025.py
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@ -6,7 +6,7 @@ import random
from django.contrib.auth.models import User
from django.test import TestCase
from ..forms.surveys.wei2025 import WEIBusInformation2025, WEISurvey2025, WORDS, WEISurveyInformation2025
from ..forms.surveys.wei2025 import WEIBusInformation2025, WEISurvey2025, WORDS, NB_WORDS, WEISurveyInformation2025
from ..models import Bus, WEIClub, WEIRegistration
@ -34,8 +34,8 @@ class TestWEIAlgorithm(TestCase):
bus = Bus.objects.create(wei=self.wei, name=f"Bus {i}", size=10)
self.buses.append(bus)
information = WEIBusInformation2025(bus)
for word in WORDS:
information.scores[word] = random.randint(0, 101)
for word in WORDS['list']:
information.scores[word] = random.randint(0, 6)
information.save()
bus.save()
@ -54,7 +54,7 @@ class TestWEIAlgorithm(TestCase):
)
information = WEISurveyInformation2025(registration)
for j in range(1, 21):
setattr(information, f'word{j}', random.choice(WORDS))
setattr(information, f'word{j}', random.choice(WORDS['list']))
information.step = 20
information.save(registration)
registration.save()
@ -83,9 +83,11 @@ class TestWEIAlgorithm(TestCase):
birth_date='2000-01-01',
)
information = WEISurveyInformation2025(registration)
for j in range(1, 21):
setattr(information, f'word{j}', random.choice(WORDS))
information.step = 20
for j in range(1, 1 + NB_WORDS):
setattr(information, f'word{j}', random.choice(WORDS['list']))
for q in WORDS['questions']:
setattr(information, q, random.choice(list(WORDS['questions'][q][1].keys())))
information.step = len(WORDS['questions']) + 1
information.save(registration)
registration.save()
@ -106,6 +108,6 @@ class TestWEIAlgorithm(TestCase):
max_score = buses[0][1]
penalty += (max_score - score) ** 2
self.assertLessEqual(max_score - score, 25) # Always less than 25 % of tolerance
self.assertLessEqual(max_score - score, 1) # Always less than 25 % of tolerance
self.assertLessEqual(penalty / 100, 25) # Tolerance of 5 %