This introduces a more dynamic system of activity scoring, to improve
the way bubbles "bubble up" due to their activity. There are a few
different parts we can tune here, and it's likely we'll need to make
adjustments once we get a feel for how this works in practice.
The basic idea here is:
- We assign points for certain types of event that happen on a bubble. A
boost gets 1 point, a comment gets 10 points, and so on.
- These points decay over time, at a rate of 50% per day. So old
activity is worth much less than new activity. Bubbles should rise up
quickly when acted upon, bit will float back down if left idle.
- Some comments can score higher than others: the first comment from
each person on a bubble is worth more (20) because it signals that
more people are getting involved; and comments that follow a comment
by a different author are also worth more (15) because that signals
there's ongoing conversation between people, not just a series of
notes being left by one individual.
In terms of implementation, we persist the score on the bubble
whenever it changes, but we handle the decay on the client side. That
allows us to cache the bubble representation without having to
continually change it while its activity decays.
We also keep a separate `activity_score_order` attribute on the model.
This can be used to sort the bubbles in order of "most active", without
having to think about the decay.
This will cause each filtered view to stay updated as the items in the
buckets change.
For filters that are specific to buckets, we listen to broadcasts on
those buckets; for filters on "All projects" we listen instead for
broadcasts on an account-specific channel. This is so that "All
projects" views will be aware of any new buckets that are added, while
also avoid unnecessary refreshes from buckets that are filtered out.
Jason Zimdars