Hardcoding the number 1 into a test means that the test may fail if topic_id
1 is somehow seeded
This ensures we are always talking about a topic that does not exist
We found score hard to understand. It is still there behind the scenes
for sorting purposes, but it is no longer shown.
You can now filter by minimum priority (low, med, high) instead of
score.
* Moved let to more appropriate scopes
* Refactored tests
It's confusing when let blocks in a parent context depend on other let
blocks from a child context.
* Moved fabrication to top level
* Removed unnecessary user fabrications
* Added a trust level 2 user at the top level
* Factored out category
* Made test use generic user
* Prefabricate topic
* Cut down redundant users
* Prefabricated more things
* Introduced fab!, a helper that creates database state for a group
It's almost identical to let_it_be, except:
1. It creates a new object for each test by default,
2. You can disable it using PREFABRICATION=0
This removes all uses of both `send` and `public_send` from consumers of
SiteSetting and instead introduces a `get` helper for dynamic lookup
This leads to much cleaner and safer code long term as we are always explicit
to test that a site setting is really there before sending an arbitrary
string to the class
It also removes a couple of risky stubs from the auth provider test
This change shows a notification number besides the flag icon in the
post menu if there is reviewable content associated with the post.
Additionally, if there is pending stuff to review, the icon has a red
background.
We have also removed the list of links below a post with the flag
status. A reviewer is meant to click the number beside the flag icon to
view the flags. As a consequence of losing those links, we've removed
the ability to undo or ignore flags below a post.
Hidden (staff-only) post actions are whisper posts with no content, that
are later transformed by the client into post actions (discourse-assign
uses this).
After careful analysis of large data-sets it became apparent that avg_time
had no impact whatsoever on "best of" topic scoring. Calculating avg_time
was a very costly operation especially on large databases.
We have some longer term plans of introducing other weighting that is read
time based into our scoring for "best of" and "top" topics, but in the
interim to stop a large amount of work that is not achieving any value we
are removing the jobs.
Column removal will follow once we decide on a new replacement metric.
