kers/events/tasks.py

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2020-07-22 04:02:13 +02:00
from datetime import date, timedelta
from typing import List
from KeRS.celery import app
from events.models import Event, EventRegistration
from users.models import CustomUser
def calc_score(user: CustomUser):
registrations_last_month = EventRegistration.objects.all().filter(user_id=user.id,
event__date__gt=date.today() - timedelta(days=30),
event__date__lte=date.today(),
state__exact='A')
score = 0
for r in registrations_last_month:
days_ago = (date.today() - r.event.date.date()).days
score += 1 / (days_ago + 1)
return score
@app.task(bind=True)
def assign_reservations(self):
"""
Chech if there are any events the next day.
If so, calculate the current score for every interested user and assign the ones with the lowest scores.
:param self:
:return:
"""
print("Assigning reservations")
print("======================")
# Get all events of tomorrow
events = Event.objects.all().filter(date__date=date.today() + timedelta(days=1))
# Reservations
registrations: List[EventRegistration] = EventRegistration.objects.all().filter(
event_id__in=map(lambda event: event.id, events),
state__exact='I')
if len(registrations) == 0:
print("NO REGISTRATIONS?")
# Relevant users
users = set(map(lambda r: r.user, registrations))
scores = list(map(calc_score, users))
queue = sorted(list(zip(users, scores)), key=lambda tup: tup[1])
print(f"Scores: {scores}")
print(f"Queue: {queue}")
for event in events:
print(f"EVENT: {event.date} - {event.capacity}")
event_registrations = list(filter(lambda r: r.event == event, registrations))
event_users = set(map(lambda r: r.user, event_registrations))
event_queue = list(filter(lambda element: element[0] in event_users, queue))
for user in event_queue[0:event.capacity]:
print(f"Selected {user[0]}")
r = EventRegistration.objects.get(
event_id=event.id,
user_id=user[0].id
)
r.state = 'A'
r.save()
for user in event_queue[event.capacity:]:
print(f"Denied {user[0]}")
r = EventRegistration.objects.get(
event_id=event.id,
user_id=user[0].id
)
r.state = 'D'
r.save()