262 lines
9.2 KiB
Python
262 lines
9.2 KiB
Python
from django.db import models
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from datetime import date
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import pendulum
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from tools.models import Markdownizable
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from location.models import Club
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from objective.models import Skill
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from django.db.models import Q, Count, Min
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class Gymnast(Markdownizable):
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"""Représente un gymnaste.
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Un gymnaste peut être actif ou inactif.
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"""
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class Meta:
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verbose_name = "Gymnast"
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verbose_name_plural = "Gymnasts"
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GENDER_CHOICES = ((0, "Male"), (1, "Female"))
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last_name = models.CharField(max_length=40, null=False, blank=False)
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first_name = models.CharField(max_length=25, null=False, blank=False)
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birthdate = models.DateField(verbose_name="Date de naissance")
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gender = models.PositiveSmallIntegerField(
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choices=GENDER_CHOICES, verbose_name="Sexe"
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)
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is_active = models.BooleanField(default=1, verbose_name="Active")
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club = models.ForeignKey(
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Club, null=True, on_delete=models.SET_NULL, related_name="gymnast"
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)
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trainings_by_week = models.PositiveSmallIntegerField(verbose_name="# Training by week")
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hours_by_week = models.PositiveSmallIntegerField(verbose_name="# Hours by week")
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def __str__(self):
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return u"%s, %s" % (self.last_name, self.first_name)
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@property
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def next_birthday_in_days(self):
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now = pendulum.now()
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return self.next_birthday.diff(now).in_days()
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@property
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def age(self):
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""" Renvoie l'âge d'un gymnaste. """
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today = date.today()
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return (
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today.year
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- self.birthdate.year
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- ((today.month, today.day) < (self.birthdate.month, self.birthdate.day))
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)
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@property
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def next_age(self):
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""" Renvoie l'âge prochain du gymnaste. """
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return (self.age) + 1
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def min_rank_skill(self):
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tmp = Skill.objects.filter(known_by__gymnast=self.id).order_by("rank").values('rank')[:1]
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if tmp:
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min_rank = tmp[0]['rank']
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else:
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min_rank = 0
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return min_rank
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def max_rank_skill(self):
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tmp = Skill.objects.filter(known_by__gymnast=self.id).order_by(
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"-rank"
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).values('rank')[:1]
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if tmp:
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max_rank = tmp[0]['rank']
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else:
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max_rank = 0
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return max_rank
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def known_skill_by_rank(self):
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"""
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Renvoie le nombre de Skill qu'un gymnast sait faire par rang
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"""
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nb_known_skill_by_rank = (
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Skill.objects.values("rank")
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.filter(known_by__gymnast=self.id)
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.order_by("rank")
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.annotate(nb_known_skill=Count("id"))
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)
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return nb_known_skill_by_rank
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def max_level_skill(self):
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tmp = Skill.objects.filter(known_by__gymnast=self.id).order_by(
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"-level"
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).values('level')[:1]
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if tmp:
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max_level = tmp[0]['level']
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else:
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max_level = 0
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return max_level
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def nb_known_skill_by_level(self):
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nb_known_skill_by_level = (
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Skill.objects.values("level")
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.filter(known_by__gymnast=self.id)
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.order_by("level")
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.annotate(nb_known_skill=Count("id"))
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)
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return nb_known_skill_by_level
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def get_informations_from_level(self):
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"""
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Calcule toutes les statistiques par rapport au niveau.
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1. on va chercher le niveau maximum de skill que le gymnast sait faire
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2. on va chercher le nombre de skill par niveau que le gymnast sait faire
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3. si le niveau max est supérieur à 0
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OUI:
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pour chaque skill du 2.
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- si le niveau du skill est le même que ... je sais pas, je comprends plus...
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NON:
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"""
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context = {}
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max_level_skill = self.max_level_skill()
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context["max_level_skill"] = max_level_skill
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nb_known_skill_by_level = self.nb_known_skill_by_level()
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gymnast_nb_known_skills = self.known_skills.distinct('skill').count()
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if max_level_skill > 0:
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context["total_skill"] = Skill.nb_skill_lte_level(max_level_skill)
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nb_skill_by_level = Skill.nb_skill_by_level(max_level_skill)
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j = 0
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percentages = []
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for skill in nb_skill_by_level:
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tmp = None
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if skill["level"] == nb_known_skill_by_level[j]["level"]:
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if skill["nb_skill"] != nb_known_skill_by_level[j]["nb_known_skill"]:
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tmp = (
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skill["level"],
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skill["nb_skill"],
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nb_known_skill_by_level[j]["nb_known_skill"],
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int(
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(nb_known_skill_by_level[j]["nb_known_skill"] / skill["nb_skill"])
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* 100
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),
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)
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j += 1
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else:
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tmp = (skill["level"], skill["nb_skill"], 0, 0)
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if tmp:
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percentages.append(tmp)
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context["percentages"] = percentages
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# Liste des Skill que le gymnaste ne sait PAS faire, classé par niveau (ayant un niveau inférieur ou égal au niveau max du gym)
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context["skill_by_level"] = Skill.objects.filter(
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level__lte=context["max_level_skill"]
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).exclude(known_by__gymnast=self.id)
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# Liste des Skill que le gymnaste ne sais PAS faire (ayant un niveau plus grand que le niveau max du gym)
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context["unknown_skill"] = Skill.objects.filter(
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level__gt=context["max_level_skill"]
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).exclude(known_by__gymnast=self.id)
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else:
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tmp = Skill.objects.all()
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context["total_skill"] = tmp.count()
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context["unknown_skill"] = tmp
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# Calcul des statistiques
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if context["total_skill"] != 0:
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context["completude"] = "%s%%" % (
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int((gymnast_nb_known_skills / context["total_skill"]) * 100)
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)
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context["evaluated_level"] = int(
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context["max_level_skill"] * (gymnast_nb_known_skills / context["total_skill"])
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)
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else:
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context["completude"] = 0
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context["evaluated_level"] = 0
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return context
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def get_informations_from_rank(self):
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"""
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Calcule toutes les statistiques des skills par rapport au rang du gymnaste.
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"""
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context = {}
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min_rank_skill = self.min_rank_skill()
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max_rank_skill = self.max_rank_skill()
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context["max_rank_skill"] = max_rank_skill
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nb_known_skill_by_rank = self.known_skill_by_rank()
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gymnast_nb_known_skills = self.known_skills.distinct('skill').count()
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if max_rank_skill > 0:
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context["total_skill"] = Skill.nb_skill_lte_rank(max_rank_skill)
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nb_skill_by_rank = Skill.nb_skill_by_rank(max_rank_skill)
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j = 0
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percentages = []
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for skill in nb_skill_by_rank:
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# les deux lignes ci-dessous doivent partir
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if j >= nb_known_skill_by_rank.count():
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break
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tmp = None
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if skill["rank"] == nb_known_skill_by_rank[j]["rank"]:
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if skill["nb_skill"] != nb_known_skill_by_rank[j]["nb_known_skill"]:
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tmp = (
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skill["rank"],
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skill["nb_skill"],
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nb_known_skill_by_rank[j]["nb_known_skill"],
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int(
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(nb_known_skill_by_rank[j]["nb_known_skill"] / skill["nb_skill"])
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* 100
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),
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)
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j += 1
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else:
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tmp = (skill["rank"], skill["nb_skill"], 0, 0)
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if tmp:
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percentages.append(tmp)
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context["percentages"] = percentages
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# Liste des Skill que le gymnaste ne sait PAS faire, classé par niveau
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# (ayant un niveau inférieur ou égal au niveau max du gym)
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context["skill_by_rank"] = Skill.objects.filter(
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level__lte=context["max_rank_skill"]
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).exclude(known_by__gymnast=self.id)
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# Liste des Skill que le gymnaste ne sais PAS faire (ayant un niveau
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# plus grand que le niveau max du gym)
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context["unknown_skill"] = Skill.objects.filter(
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level__gt=context["max_rank_skill"]
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).exclude(known_by__gymnast=self.id)
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else:
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tmp = Skill.objects.all()
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context["unknown_skill"] = tmp
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context["total_skill"] = tmp.count()
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# Calcul des statistiques
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if context["total_skill"] != 0:
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context["completude"] = "%s%%" % (
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int((gymnast_nb_known_skills / context["total_skill"]) * 100)
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)
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context["evaluated_level"] = (min_rank_skill - 1) + (
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int(context["max_rank_skill"] * (gymnast_nb_known_skills / context["total_skill"]))
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)
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else:
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context["completude"] = 0
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context["evaluated_level"] = 0
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return context |