How to use the weblate.celery.app.task function in Weblate

@app.task(trail=False)
def backup_service(pk):
    service = BackupService.objects.get(pk=pk)
    service.ensure_init()
    service.backup()
    service.prune()

@app.task(trail=False)
def heartbeat():
    cache.set('celery_heartbeat', time.time())

@app.task(
    trail=False, autoretry_for=(Timeout,), retry_backoff=600, retry_backoff_max=3600
)
def perform_update(cls, pk, auto=False):
    try:
        if cls == "Project":
            obj = Project.objects.get(pk=pk)
        else:
            obj = Component.objects.get(pk=pk)

        if not auto or settings.AUTO_UPDATE:
            obj.do_update()
        else:
            obj.update_remote_branch()
    except FileParseError:
        # This is stored as alert, so we can silently ignore here
        return

@app.task(trail=False)
def ping():
    return None

@app.task(trail=False)
def notify_monthly():
    notify_digest('notify_monthly')

@app.task(trail=False)
def daily_addons():
    for addon in Addon.objects.filter(event__event=EVENT_DAILY).iterator():
        with transaction.atomic():
            addon.addon.daily(addon.component)

@app.task(trail=False)
def cleanup_project(pk):
    """Perform cleanup of project models."""
    try:
        project = Project.objects.get(pk=pk)
    except Project.DoesNotExist:
        return

    cleanup_sources(project)

@app.task(trail=False)
def cleanup_old_comments():
    if not settings.COMMENT_CLEANUP_DAYS:
        return
    cutoff = timezone.now() - timedelta(days=settings.COMMENT_CLEANUP_DAYS)
    Comment.objects.filter(timestamp__lt=cutoff).delete()

@app.task(trail=False)
def memory_optimize():
    memory = TranslationMemory()
    memory.index.optimize()

@app.task(trail=False, base=Batches, flush_every=1000, flush_interval=300, bind=True)
def update_memory_task(self, *args, **kwargs):
    def fixup_strings(data):
        result = {}
        for key, value in data.items():
            if isinstance(value, int):
                result[key] = value
            else:
                result[key] = force_text(value)
        return result

    data = extract_batch_kwargs(*args, **kwargs)

    memory = TranslationMemory()
    try:
        with memory.writer() as writer:
            for item in data: