This saves 2 database queries per user in the huddle when sending the
first message to a particular huddle.
(imported from commit f71aa32df846fb4b82651a93ff9608087ffcaa5a)
Also improve display of times passed -- we now use display short times
in milliseconds for easier reading.
(imported from commit 08e1e7e6acbef48453080864946f7602a3395e7c)
Previous we had around 4 copies of the logic for deciding whether we
should publish data via a SimpleQueueClient queue, a
TornadoQueueClient queue, or to directly handle the operation, which
resulted in their getting out of sync and buggy (see e.g. the previous
commit).
We need to add a lock around adding things to the queue to work around
a bug with pika's BlockingConnection.
I should note that the previous logic in some places had a bunch of
tests of the form "elif settings.TEST_SUITE" for doing the work that
would have been done by the queue processor directly; these should
have just been "else" clauses -- since we generally want that code to
run on development environments whether or not the test suite is
currently running.
(imported from commit 16bdbed4fff04b1bda6fde3b16bee7359917720b)
They are more meaningful this way -- the fact that your bots that
never log in or inactive users don't have colored streams shouldn't
impact that statistic.
(imported from commit b39debda338cbbad06957bc969b42862a888026a)
But discard any changes the Django response middleware may have made
to anything other than the content.
This allows us to, for example, output our nice database query logging
for get_updates requests.
(imported from commit e1d2fd38ceb4d73ff50bdfaad7c72ddb24d0fe16)
This is preparatory for running the Django response middleware on
our Tornado responses.
(imported from commit 05da8ea9cb663a928b2f98a928f3992aae4f067c)
This will mainly be useful in the event system branch, where we want
to actually send a response from a file other than tornadoviews.py.
(imported from commit b7ae9bb9b062215ab44eb5f0a3a72d6baeee1d07)
Since we flush memcached when we do a server restart, the flurry of
get_updates requests that fly in afterwards are all cache misses for
getting the User/UserProfile objects, so Tornado ends up spending
around 70ms per get_updates request rather than the usual 1-2ms.
So this should substantially improve our Tornado performance around
server restarts.
(imported from commit 07b8126bdfd4ff14e4c3362f9eda1fe5fd571c5b)
Our previous code could in theory end up clearing the caches it had
just filled, if Tornado's cache filling work happened to be faster
than the memcached flush.
(imported from commit 48174aadad398fb7a7c917a1df765c1261b12a55)
This is required because our migration is going to go in two phases.
When we do the database migration (on pushing to master), we update
all messages at that point. But prod doesn't know about the new
flags field, so any new messages sent on prod will not have the
read bit set.
When we push to prod, we want to re-run the bit of the migration script
that automatically sets read flags on messages older than the users's
pointer.
(imported from commit 961d33e972eac9ada80089bf1b1269c7fb42d56b)
We now clean up the stream subscription in more places, but some
historical tutorial streams are still around and if an error or page
reload happens during the tutorial it'll stick around.
(imported from commit 8cf0ebda26bf752c1a23296a4ba85d194bbb3004)
With this change,
pkill -SIGUSR1 -f runtornado
will dump the stack and SIGUSR2 will enable an interactive debugging
session.
This fixes#613 for Tornado which was the original motive for that
ticket; I'm not sure whether we want to do this for our Django
processes as well, but it would be easy to do so if we did.
(imported from commit a7de7c6070f4bf0404bed6f434e6a6b291d66a26)
The idea here is: part of the onboarding tutorial is going to
be you talking to the tutorial bot and it talking to you, from
our Javascript.
The reason it's driven by Javascript is that then in principle we can
do nice stuff like making popovers appear in places to point things
out to you, whereas if we were to do it strictly server-side, doing so
would be a lot harder.
The downside to doing it in Javascript is that you don't get any of
the Markdown rendering, since that happens on the server. So instead
we add this call where you give it a message, and it responds by
having the tutorial bot send you that message.
I don't think there are any security concerns here because
(1) The bot only messages you -- so you can't use it to make someone
else think that the system is telling them to do something
(2) If there were an issue associated with having the server parse
arbitrary Markdown, you could just trigger the issue by sending
a message yourself.
(imported from commit b34f594dab6be6bcb81899278ae1cbe447404468)
To work around the issue we're having with queue draining between
parallel blocking connections, use the same rabbitmq queue for both
activity and presence events, keyed on a 'type' flag in the message
itself.
(imported from commit 188e8fda1695734e52c5740db2195072cfc81479)
Note: When deploying, restarting the process-user-activity-commandline script is needed
(imported from commit 63ee795c9c7a7db4a40170cff5636dc1dd0b46a8)
Tim Abbott
Jessica McKellar
Leo Franchi
Keegan McAllister
Zev Benjamin
Luke Faraone
Waseem Daher