Previously, these timer accounting functions could be easily mistaken
for referring to starting/stopping the request. By adding timer to
the name, we make the code easier for the casual observer to read and
understand.
Historically, queue_json_publish had a special third argument that was
basically its default mock behavior in the test suite. We've been
migrating away from that model, because it was confusing and resulted
in poor test coverage of our queue worker code paths; this was one of
the last holdouts.
As it turns out, we don't exercise this code path in a way that
impacts tests much; the main downside of this change is a likely small
penalty to performance of the full test suite when sending private
messages.
As part of our effort to change the data model away from each user
having a single API key, we're eliminating the couple requests that
were made from Django to Tornado (as part of a /register or home
request) where we used the user's API key grabbed from the database
for authentication.
Instead, we use the (already existing) internal_notify_view
authentication mechanism, which uses the SHARED_SECRET setting for
security, for these requests, and just fetch the user object using
get_user_profile_by_id directly.
Tweaked by Yago to include the new /api/v1/events/internal endpoint in
the exempt_patterns list in test_helpers, since it's an endpoint we call
through Tornado. Also added a couple missing return type annotations.
This adds support to the event queue system for triggering
missed-message notifications (whether push or email) to support the
stream push notifications feature.
Previously, maybe_enqueue_notifications had this very subtle logic,
where it set the notice variable only inside the block for push
notifications, but then also used it inside the block for email
notifications.
This "worked", because previously the conditions for push
notifications were always true if the conditions for email
notifications were, but the code was unnecessarily confusing. The
only good reason to write it this way is if build_offline_notification
was expensive; in fact, the most expensive thing it does is calling
time.time(), so that reason does not apply here.
This was further confusing, in that in the original logic, we relied
on the fact that push notification code path edited the "notice"
dictionary for further processing.
Instead, we just call it separately and setup the data separately in
each code path.
This data will be required for correctly implementing the upcoming
stream_push_notify feature; it also helps support cleaning up the code
for the existing stream mentions logic.
We've for a long time been plagued by run-dev.py needing to be
restarted every time one does a rebase that has merge conflicts,
because the Tornado process restarts itself into a syntax error and
crashes.
This fixes the Tornado autoreload process to check explicitly for
whether files actually syntax-check before trying to actually reload
the Tornado process to run that code.
There are a few things that are a bit janky:
* Ideally, this would go into Tornado upstream
* We removed the `_watched_files` feature, which we weren't using.
* Ideally, we'd use something other than `importlib.reload` that just
does the syntax-check without adjusting the state within our current
process.
Fixes#4351.
We're never going to add tests for this block, which is fundamentally
well-tested code from Django with a since line changed which is hard
to screw up (long-polling will not work at all without it). The hope
is to remove it entirely and replace it with a cleaner monkey-patch,
but until then, unit tests for it would be redundant.
We only use this in the direct management command, and it involves
some autoreload process setup stuff that we probably don't want to do
in our unit tests regardless.
This is basically a simple fix, where we consistently set
`flags` to an empty array when we pass it around. The history
here is that we had kind of a nasty bug from setting it to
`None`, which only showed up in the somewhat obscure circumstance
of somebody subscribing to all stream events in our API.
Fixes#7921
A `None` value is not properly handled in this function, which
indicates some lack of testing or a recent regression we don't
understand. We were getting lots of tracebacks from this line
of code on our test server:
mentioned = 'mentioned' in flags and 'read' not in flags
This method was new in Tornado 4.0. It saves us from having to get
the time ourselves and do the arithmetic -- which not only makes the
code a bit shorter, but also easier to get right. Tornado docs (see
http://www.tornadoweb.org/en/stable/ioloop.html) say we should have
been getting the time from `ioloop.time()` rather than hardcoding
`time.time()`, because the loop could e.g. be running on the
`time.monotonic()` clock.
This commit allows clients to register client_gravatar=True, and
then we recognize that flag for message events. If the flag is
True, we will not calculate gravatar URLs and let the clients do
it themselves. (Clients can calculate gravatar URLs based on
emails with just a little bit of code.)
This refactoring doesn't change behavior, but it sets us up
to more easily handle a register setting for `client_gravatar`,
which will allow clients to tell us they're going to compute
their own gravatar URLs.
The `client_gravatar` flag already exists in our code, but it
is only used for Django views (users/messages) but not for
Zulip events.
The main change is to move the call to `set_sender_avatar` into
`finalize_payload`, which adds the boolean `client_gravatar`
parameter to that function. And then we update various callers
to supply that flag.
One small performance benefit of this change is that we now
lazily compute the client message payloads in
`event_queue.process_message_event` now, so this will improve
performance if all interested clients have the same value of
`apply_markdown`. But the change here is really preparing us
for the additional boolean parameter, which will cause us to
have four variations of the payload.
This test helper method duplicated a bunch of logic in
`zerver/worker/queue_processors.py` in a specialized fashion for the
tests. Now that we're using `call_consume_in_tests` in this code
path, we don't need it.