forked from rc/aircox
226 lines
8.7 KiB
Python
226 lines
8.7 KiB
Python
import pytest
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import random
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import datetime
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from model_bakery import baker
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from django.utils import timezone as tz
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from datetime import timedelta
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from aircox.models import Diffusion
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#TODO créer fixtures pour éviter toutes ces lignes pour créer les fake db.
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class TestDiffusionQuerySet:
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@pytest.mark.django_db
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def test_episode_by_obj(self, episodes):
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key_episode = episodes[1]
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another_episode = episodes[2]
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diffusions_with_the_key_episode = baker.make(
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Diffusion, _quantity=3, episode=key_episode
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)
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diffusions_without_the_key_episode = baker.make(
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Diffusion, _quantity=3, episode=another_episode
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)
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result = Diffusion.objects.episode(episode=key_episode)
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for diffusion in diffusions_with_the_key_episode:
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assert diffusion in result
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for diffusion in diffusions_without_the_key_episode:
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assert diffusion not in result
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@pytest.mark.django_db
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def test_episode_by_id(self, episodes):
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key_episode = episodes[1]
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another_episode = episodes[2]
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diffusions_with_the_key_episode = baker.make(
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Diffusion, _quantity=3, episode=key_episode
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)
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diffusions_without_the_key_episode = baker.make(
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Diffusion, _quantity=3, episode=another_episode
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)
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result = Diffusion.objects.episode(id=key_episode.id)
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for diffusion in diffusions_with_the_key_episode:
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assert diffusion in result
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for diffusion in diffusions_without_the_key_episode:
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assert diffusion not in result
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@pytest.mark.django_db
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def test_on_air(self, episodes):
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for episode in episodes:
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random_type = random.choice(
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[Diffusion.TYPE_ON_AIR, Diffusion.TYPE_UNCONFIRMED]
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)
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baker.make(Diffusion, episode=episode, type=random_type)
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result = Diffusion.objects.on_air()
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for diffusion in result:
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assert diffusion.type == Diffusion.TYPE_ON_AIR
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assert diffusion.type != Diffusion.TYPE_UNCONFIRMED
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# la méthode "now" filtre les diffusions en cours d'un moment précis.
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# elle prend en compte un objet datetime (date + heure)
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# les diffusions en cours sont définie en fonction de l'argument "now" ou de l'heure actuelle si now=None.
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# la méthode distinct élimine les doublons de diffusions (si ils ont des valeurs identiques pour tous les champs de la db)
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#TODO test si il y a doublon qu'un seul objet soit récupéré.
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@pytest.mark.django_db
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def test_now(self, episodes):
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now = tz.now()
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random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
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now_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=now - timedelta(minutes=30),
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end=now + timedelta(minutes=30),
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)
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after_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=now + timedelta(minutes=30),
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end=now + timedelta(minutes=60),
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)
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before_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=now - timedelta(minutes=60),
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end=now - timedelta(minutes=30),
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)
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result = Diffusion.objects.now(now=now, order=True)
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assert len(result) == 1
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assert result[0] == now_diffusion
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assert result[0].start <= now <= result[0].end
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# méthode date filtre les diffusions en cours d'une date précise.
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# elle ne prend pas en compte un objet datetime mais un "objet date" uniquement
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# elle crée deux objets datetime (start and end) à partir de l'argument "date" (if none = today)
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#elle utilise la méthode "combine" de la classe "datetime" pour créer ces deux objets à partir de la date
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#elle filtre ensuite les diffusions qui ont lieu entre "start" et "end".
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@pytest.mark.django_db
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def test_date_without_date_arg(self, episodes):
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today = datetime.date.today()
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tomorrow = today + timedelta(days=1)
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random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
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second_today_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(today, datetime.time.min)
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+ timedelta(minutes=30),
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end=tz.datetime.combine(today, datetime.time.max)
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+ timedelta(minutes=60),
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)
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first_today_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(today, datetime.time.min),
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end=tz.datetime.combine(today, datetime.time.max)
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+ timedelta(minutes=30),
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)
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another_day_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(tomorrow, datetime.time.min),
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end=tz.datetime.combine(tomorrow, datetime.time.max),
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)
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result = Diffusion.objects.date()
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assert len(result) == 2
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assert result[0] == first_today_diffusion
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assert result[1] == second_today_diffusion
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@pytest.mark.django_db
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def test_date_with_date_arg(self, episodes):
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today = datetime.date.today()
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tomorrow = today + timedelta(days=1)
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random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
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today_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(today, datetime.time.min)
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- timedelta(minutes=30),
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end=tz.datetime.combine(today, datetime.time.min)
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+ timedelta(minutes=30),
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)
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second_tomorrow_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(tomorrow, datetime.time.min)
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+ timedelta(minutes=30),
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end=tz.datetime.combine(tomorrow, datetime.time.min)
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+ timedelta(minutes=60),
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)
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first_tomorrow_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(tomorrow, datetime.time.min),
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end=tz.datetime.combine(tomorrow, datetime.time.min)
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+ timedelta(minutes=60),
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)
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result = Diffusion.objects.date(date=tomorrow)
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assert len(result) == 2
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assert result[0] == first_tomorrow_diffusion
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assert result[1] == second_tomorrow_diffusion
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#la méthode at récupère les diffusions à une date donnée.
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#elle utilise la méthode now si la date est un objet datetime
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#elle utilise la méthode date si la date est un objet date
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@pytest.mark.django_db
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def test_at_datetimeobj(self, episodes):
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random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
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today_dt = datetime.datetime.today()
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now_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=today_dt - timedelta(minutes=30),
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end=today_dt + timedelta(minutes=30),
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)
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after_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=today_dt + timedelta(minutes=30),
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end=today_dt + timedelta(minutes=60),
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)
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before_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=today_dt - timedelta(minutes=60),
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end=today_dt - timedelta(minutes=30),
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)
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result = Diffusion.objects.at(date=today_dt)
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assert now_diffusion in result
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@pytest.mark.django_db
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def test_at_dateobj(self, episodes):
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today_d = datetime.date.today()
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tomorrow_d = today_d + timedelta(days=1)
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random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
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second_today_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(today_d, datetime.time.min)
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+ timedelta(minutes=30),
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end=tz.datetime.combine(today_d, datetime.time.max)
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+ timedelta(minutes=60),
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)
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first_today_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(today_d, datetime.time.min),
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end=tz.datetime.combine(today_d, datetime.time.max)
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+ timedelta(minutes=30),
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)
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another_day_diffusion = baker.make(
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Diffusion,
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episode=random_episode,
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start=tz.datetime.combine(tomorrow_d, datetime.time.min),
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end=tz.datetime.combine(tomorrow_d, datetime.time.max),
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)
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result = Diffusion.objects.at(date=today_d)
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assert len(result) == 2
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assert result[0] == first_today_diffusion
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assert result[1] == second_today_diffusion
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