import pytest
import random
import datetime
from model_bakery import baker
from django.utils import timezone as tz
from datetime import timedelta
from aircox.models import Diffusion

#TODO créer fixtures pour éviter toutes ces lignes pour créer les fake db.

class TestDiffusionQuerySet:
    @pytest.mark.django_db
    def test_episode_by_obj(self, episodes):
        key_episode = episodes[1]
        another_episode = episodes[2]
        diffusions_with_the_key_episode = baker.make(
            Diffusion, _quantity=3, episode=key_episode
        )
        diffusions_without_the_key_episode = baker.make(
            Diffusion, _quantity=3, episode=another_episode
        )
        result = Diffusion.objects.episode(episode=key_episode)

        for diffusion in diffusions_with_the_key_episode:
            assert diffusion in result
        for diffusion in diffusions_without_the_key_episode:
            assert diffusion not in result

    @pytest.mark.django_db
    def test_episode_by_id(self, episodes):
        key_episode = episodes[1]
        another_episode = episodes[2]
        diffusions_with_the_key_episode = baker.make(
            Diffusion, _quantity=3, episode=key_episode
        )
        diffusions_without_the_key_episode = baker.make(
            Diffusion, _quantity=3, episode=another_episode
        )
        result = Diffusion.objects.episode(id=key_episode.id)

        for diffusion in diffusions_with_the_key_episode:
            assert diffusion in result
        for diffusion in diffusions_without_the_key_episode:
            assert diffusion not in result

    @pytest.mark.django_db
    def test_on_air(self, episodes):
        for episode in episodes:
            random_type = random.choice(
                [Diffusion.TYPE_ON_AIR, Diffusion.TYPE_UNCONFIRMED]
            )
            baker.make(Diffusion, episode=episode, type=random_type)
        result = Diffusion.objects.on_air()

        for diffusion in result:
            assert diffusion.type == Diffusion.TYPE_ON_AIR
            assert diffusion.type != Diffusion.TYPE_UNCONFIRMED
    
    # la méthode "now" filtre les diffusions en cours d'un moment précis.
    # elle prend en compte un objet datetime (date + heure)
    # les diffusions en cours sont définie en fonction de l'argument "now" ou de l'heure actuelle si now=None.
    # la méthode distinct élimine les doublons de diffusions (si ils ont des valeurs identiques pour tous les champs de la db)
    #TODO test si il y a doublon qu'un seul objet soit récupéré.
    @pytest.mark.django_db
    def test_now(self, episodes):
        now = tz.now()
        random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
        now_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=now - timedelta(minutes=30),
            end=now + timedelta(minutes=30),
        )
        after_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=now + timedelta(minutes=30),
            end=now + timedelta(minutes=60),
        )
        before_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=now - timedelta(minutes=60),
            end=now - timedelta(minutes=30),
        )
        result = Diffusion.objects.now(now=now, order=True)

        assert len(result) == 1
        assert result[0] == now_diffusion
        assert result[0].start <= now <= result[0].end

    # méthode date filtre les diffusions en cours d'une date précise.
    # elle ne prend pas en compte un objet datetime mais un "objet date" uniquement
    # elle crée deux objets datetime (start and end) à partir de l'argument "date" (if none = today)
    #elle utilise la méthode "combine" de la classe "datetime" pour créer ces deux objets à partir de la date
    #elle filtre ensuite les diffusions qui ont lieu entre "start" et "end".
    @pytest.mark.django_db
    def test_date_without_date_arg(self, episodes):
        today = datetime.date.today()
        tomorrow = today + timedelta(days=1)
        random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
        second_today_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(today, datetime.time.min)
            + timedelta(minutes=30),
            end=tz.datetime.combine(today, datetime.time.max)
            + timedelta(minutes=60),
        )
        first_today_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(today, datetime.time.min),
            end=tz.datetime.combine(today, datetime.time.max)
            + timedelta(minutes=30),
        )
        another_day_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(tomorrow, datetime.time.min),
            end=tz.datetime.combine(tomorrow, datetime.time.max),
        )

        result = Diffusion.objects.date()

        assert len(result) == 2
        assert result[0] == first_today_diffusion
        assert result[1] == second_today_diffusion

    @pytest.mark.django_db
    def test_date_with_date_arg(self, episodes):
        today = datetime.date.today()
        tomorrow = today + timedelta(days=1)
        random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
        today_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(today, datetime.time.min)
            - timedelta(minutes=30),
            end=tz.datetime.combine(today, datetime.time.min)
            + timedelta(minutes=30),
        )
        second_tomorrow_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(tomorrow, datetime.time.min)
            + timedelta(minutes=30),
            end=tz.datetime.combine(tomorrow, datetime.time.min)
            + timedelta(minutes=60),
        )
        first_tomorrow_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(tomorrow, datetime.time.min),
            end=tz.datetime.combine(tomorrow, datetime.time.min)
            + timedelta(minutes=60),
        )

        result = Diffusion.objects.date(date=tomorrow)

        assert len(result) == 2
        assert result[0] == first_tomorrow_diffusion
        assert result[1] == second_tomorrow_diffusion

    #la méthode at récupère les diffusions à une date donnée.
    #elle utilise la méthode now si la date est un objet datetime
    #elle utilise la méthode date si la date est un objet date
    @pytest.mark.django_db
    def test_at_datetimeobj(self, episodes):
        random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
        today_dt = datetime.datetime.today()
        now_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=today_dt - timedelta(minutes=30),
            end=today_dt + timedelta(minutes=30),
        )
        after_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=today_dt + timedelta(minutes=30),
            end=today_dt + timedelta(minutes=60),
        )
        before_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=today_dt - timedelta(minutes=60),
            end=today_dt - timedelta(minutes=30),
        )
        result = Diffusion.objects.at(date=today_dt)

        assert now_diffusion in result

    @pytest.mark.django_db
    def test_at_dateobj(self, episodes):
        today_d = datetime.date.today()
        tomorrow_d = today_d + timedelta(days=1)
        random_episode = random.choice([episodes[1], episodes[0], episodes[2]])
        second_today_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(today_d, datetime.time.min)
            + timedelta(minutes=30),
            end=tz.datetime.combine(today_d, datetime.time.max)
            + timedelta(minutes=60),
        )
        first_today_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(today_d, datetime.time.min),
            end=tz.datetime.combine(today_d, datetime.time.max)
            + timedelta(minutes=30),
        )
        another_day_diffusion = baker.make(
            Diffusion,
            episode=random_episode,
            start=tz.datetime.combine(tomorrow_d, datetime.time.min),
            end=tz.datetime.combine(tomorrow_d, datetime.time.max),
        )
        result = Diffusion.objects.at(date=today_d)

        assert len(result) == 2
        assert result[0] == first_today_diffusion
        assert result[1] == second_today_diffusion