Otherwise the dummy user can be created with an invalid email domain -
e.g. in development environment with the domain
"@http://localhost:9991". get_fake_email_domain exists exactly for
handling these kinds of scenarios.
Stop using `access_user_group_by_id` in notifications codepaths, as it
is meant to be used to check for _write_ access, not read
access (which is not limited). In the notification codepaths, there
are no ACLs to apply, and the ID is known-good; just load it
directly. The `for_mention` flag is removed, as it was not used in the
mention codepaths at all, only the notification ones.
This replaces the temporary (and testless) fix in
24b1439e93 with a more permanent
fix.
Instead of checking if the user is a bot just before
sending the notifications, we now just don't enqueue
notifications for bots. This is done by sending a list
of bot IDs to the event_queue code, just like other
lists which are used for creating NotificationData objects.
Credit @andersk for the test code in `test_notification_data.py`.
This diff looks slightly noisy, but the main chunk of
code that we moved here has the same logic as before,
and it just gets realm_id from MentionBackend now, instead
of having our markdown processor have to supply it.
We basically want MentionData to be the gatekeeper of
mention data, and then we delegate backend tasks to
MentionBackend.
Soon we will add a cache to MentionBacked, which will
justify this change a bit more.
It's slightly annoying to plumb Optional[MentionBackend]
down the stack, but it's a one-time change.
I tried to make the cache code relatively unobtrusive
for the single-message use case.
We should be able to eliminate redundant stream queries
using similar techniques.
I considered caching at the level of rendering the message
itself, but this involves nearly as much plumbing, and
you have to account for the fact that several users on
your realm may have distinct default languages (French,
Spanish, Russian, etc.), so you would not eliminate as
many query hops. Also, if multiple streams were involved,
users would get slightly different messages based on
their prior subscriptions.
When our handlers specifically reference self.md.zulip_db_data,
we now use an explicit type.
We probably want a more robust solution here, such as a semgrep
rule.
We now serialize still_url as None for non-animated emojis,
instead of omitting the field. The webapp does proper checks
for falsiness here. The mobile app does not yet use the field
(to my knowledge).
We bump the API version here. More discussion here:
https://chat.zulip.org/#narrow/stream/378-api-design/topic/still_url/near/1302573
Appending to bytes in a loop leads to a quadratic slowdown since
Python doesn’t optimize this for bytes like it does for str.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
While accepting an invitation from a user, there was no condition in
place to check if the user sending the invitation was now
now-deactivated.
Skip sending notifications about newly-joined users to users who are
now disabled.
Fixes#18569.
We don't have to go to the database to get the Recipient
fields for `user_profile.recipient`.
See also 85ed6f332a from a little
over a year ago--it's very similar.
The bug here probably didn't come up too much in
practice, but if we were adding a user to multiple
streams when they already had used all N available
colors, all the new streams would be assigned the same
color, since the size of used_colors would stay at N,
thwarting our little modulo-len hackery.
It's not a terrible bug, since users can obviously
customize their stream colors as they see fit.
Usually when we are adding a user to multiple streams,
the users are fairly new, and thus don't have many
existing streams, so I have never heard this bug
reported in the field.
Anyway, assigning the colors in bulk seems to make more
sense, and I added some tests.
For the situations where all the colors have already
been used, I didn't put a ton of thought into exactly
which repeated colors we want to choose; instead, I
just ensure they're different modulo 24. It's possible
that we should just have more than 24 canned colors, or
we should just assign the same default color every time
and let users change it themselves (once they've gone
beyond the 24, to be clear). Or maybe we can just do
something smarter here. I don't have enough time for a
deep dive on this issue.
Part of our codepath for subscribing users involves
fetching the users' existing subscriptions to make sure
we can do things like properly report to the clients
that the users were already subscribed. This codepath
used to be coupled to code that helped users maintain
unique stream colors.
Suppose you are creating a new stream, and you are
importing users from an older stream with 15k
subscribers, and each of your users is subscribed to
about 20 streams.
The prior code, instead of filtering on recipient_id,
would literally look at every subscription for every
user, which was kind of crazy if you didn't understand
the pick-stream-color complications.
Before this commit, we would fetch 300k rows with 15
columns each (granted, all but one of the columns are
bool/int). That's a total of 4.5 million tiny objects
that we had to glom into Django ORM objects and slice
and dice.
After this commit, we would fetch exactly zero rows
for the are-they-already-subscribed logic.
Yes, ZERO.
If we were to mistakenly try to re-add the same 15k
subscribers to the new stream (under the new code), we
will now fetch 15k Sub rows instead of 300k.
It is worth looking at the prior commit. We go through
great pains to ensure that users get new stream colors
when we invite them to a stream, and we still fetch a
bunch of data for that. Instead of 4.5 million cells,
it's more like 600k cells (2 columns per row), and it's
less than that insofar as some users may only
have 24 distinct colors among their many streams.
It's a lot of work.
This commit sets us up for the next commit, which will
save us a very expensive query.
If you are adding 15k users to a stream, and each user
has about 20 existing streams, then we need to retrieve
300k rows from the database to figure out which stream
colors they already have. We don't need all the extra
fields from Subscription, so now we get just the two
values we need for making a color map.
In the next commit we'll eliminate the other use case
for the big query, and I will explain in greater
depth how splitting out the color-picking code can
be a huge win. It is possible that some product decisions
could make this codepath easier. We could also do some
engineering specific to stream colors, such as caching
which colors users have already used.
This does cost us an extra round trip to the database.
Having the `wildcard_mentions_notify` setting turned on does
not necessarily mean that the user will receive notification
for that message. There is more nuance to this, as explained
in the updated comment.
We recently ran into a payload in production that didn't contain
an event type at all. A payload where we can't figure out the event
type is quite rare. Instead of letting these payloads run amok, we
should raise a more informative exception for such unusual payloads.
If we encounter too many of these, then we can choose to conduct a
deeper investigation on a case-by-case basis.
With some changes by Tim Abbott.
We avoid repeating the same calculations over and
over again for the same stream.
This helps, but the real bottleneck in this function
is that send_event usually takes at least a millisecond,
and that adds up quickly if you're doing something
like subscribing 5k users to a new stream.
GIF files can be `.GIF`, and also we determine the file format by
inspecting the image data, so there's no reason to have this
assertion.
(The code for serving still images does not rely on the file being a
GIF.)
Have kept process_new_human_user out of
the atomic block because it involves many
different operations and also sends events.
Tried enclosing event in on_commit but that
would need many changes in the tests, so have
skipped it for now.
Updates testing helpers in `event_schema.py` for `do_update_message` so
that all stream message fields are present in any edits / updates to
stream messages. Adds verfication tests of events returned from private
message edits and from stream message content-only and topic-only edits.
Updates the `update_message` event type to always include a `stream_id`
field when the message being edited is a stream message. This change
aligns with the current definition of the `\get-events` endpoint
in the OpenAPI documentation.
Mateusz Mandera
Alex Vandiver
Abhijeet Prasad Bodas
Steve Howell
Lauryn Menard
BIKI DAS
Anders Kaseorg
parth
Eeshan Garg
Shlok Patel
Tim Abbott
Sahil Batra