We add `Content-Disposition: inline` header to commonly supported
video MIME types so that when we `Open` them in lightbox, they
play in new tab.
This will require a follow-up database migration to apply to
previously uploaded videos.
This excludes the legacy webhook from the
"realm_incoming_webhook_bots" object as those do not have the same URL
format as modern webhook integrations.
This fixes a regression introduced in
9954db4b59, where the realm's default
language would be ignored for users created via API/LDAP/SAML,
resulting in all such users having English as their default language.
The API/LDAP/SAML account creation code paths don't have a request,
and thus cannot pull default language from the user's browser.
We have the `realm.default_language` field intended for this use case,
but it was not being passed through the system.
Rather than pass `realm.default_language` through from each caller, we
make the low-level user creation code set this field, as that seems
more robust to the creation of future callers.
Making request a mandatory kwarg avoids confusion about the meaning of
parameters, especially with `request` acquiring the ability to be None
in the upcoming next commit.
This reverts b8581e2895. The mobile
client on Android parses this field using:
```kotlin
timeMs = data.require("time").parseLong("time") * 1000
```
This throws an error if value is not `long` (i.e. an integer),
resulting in dropped notifications on Android from servers which had
deployed b8581e2895.
Switch back to sending an integer, but keep the behaviour from
fd6091ad17 where we send the timestamp in the payload of both
Android and Apple push notifications.
Rather than fetch all UserMessage rows for all streams, and subtract
those out in Python-space from the list of all Message rows the user
may have received -- do this via a "NOT EXISTS" subquery. This is
much better indexed (performing in fractions of milliseconds rather
than hundreds), and also consumes much less memory.
This kind of payload that's loaded from json in the body of the request
is not only used for webhooks, but also in the push bouncer, and may get
used elsewhere too - so a general name is better.
Earlier, 'is_row_muted' returned 'true' if the message was in
a muted stream or muted topic.
If the message is in an unmuted or followed topic in a muted
stream, such topics should be treated as not muted topics
in an unmuted stream.
This commit fixes the incorrect behavior.
Now, for wildcard mentions, 'unread_msgs.mentions' exclude
the IDs in muted streams only if the message is in default or
muted topic.
Also, 'unread_msgs.count' takes into account the unreads in unmuted
or followed topics in muted streams too.
Documents that this bug was fixed in the API changelog.
Update 'get_muted_stream_ids' to return a set of IDs
instead of a list.
This will help to avoid linear time search operations later
while using 'if stream_id in muted_streams_ids'.
This prep commit renames the 'build_topic_mute_checker' function
to 'build_get_topic_visibility_policy' and updates it to support
all the visibility policies.
The function prefetches the visibility policies the user has
configured for various topics and prepares a dict named
'topic_to_visibility_policy' to be used later on.
These queries benefit from the increased specificity of using the
realm / recipient / sender indexes. The argument from 11a1cb9630
does not apply in these cases, since there are only 2 usermessage rows
for each matching message row for DMs, and few more than that for
huddles.
This query has two halves; messages set by the user, and messages
received by the user. The former uses the already-specific
usermessage privatemessage flag index; the latter relies on the
recipient index on messages.
Add the realm_id to the latter half, so that the recipient_id is
paired with the realm_id.
Clarifies that the `all` field in the `op: "add"` event is only
relevant for the `"read"` message flag, and that it will be false
for all other specified flags in theses events.
Deprecates the `all` field in the `op: "remove"` event and document
that it is false for all specified flags.
Updates the deprecated `operation` field description and makes
a few other small revisions to the event text for clarity and
accuracy.
This commit adds a `jitsi_server_url` field to the Realm model, which
will be used to save the URL of the custom Jitsi Meet server. In
the database, `None` will encode the server-level default. We can't
readily use `None` in the API, as it could be confused with "field not
sent". Therefore, we will use the string "default" for this purpose.
We have also introduced `server_jitsi_server_url` in the `/register`
API. This will be used to display the server's default Jitsi server
URL in the settings UI.
The existing `jitsi_server_url` will now be calculated as
`realm_jitsi_server_url || server_jitsi_server_url`.
Fixes a part of #17914.
Co-authored-by: Gaurav Pandey <gauravguitarrocks@gmail.com>
The unique index on `(user_id, message_id)` that is the
`zerver_usermessage` table is rather specific, and even the PostgreSQL
extended statistics are not enough for it to realize there is a
correlation between the `realm_id` in the message table and the
`user_id` in the usermessage table. This means that adding the
`realm_id` limit when there is a join to `zerver_usermessage` flips
the query plan from a nested loop of unique usermessage index-only
scan, with an index scan of the messages pkey -- to a parallel hash
join of the messages limit with a index scan of just the user_id limit
on usermessages. It thinks this is necessary because it thinks that
the `realm_id` limit may remove a large number of messages from the
usermessage set -- which is totally untrue.
Remove the `realm_id` limit if we have a usermessage join.
This endpoint verifies that the services that Zulip needs to function
are running, and Django can talk to them. It is designed to be used
as a readiness probe[^1] for Zulip, either by Kubernetes, or some other
reverse-proxy load-balancer in front of Zulip. Because of this, it
limits access to only localhost and the IP addresses of configured
reverse proxies.
Tests are limited because we cannot stop running services (which would
impact other concurrent tests) and there would be extremely limited
utility to mocking the very specific methods we're calling to raising
the exceptions that we're looking for.
[^1]: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
The `expected` flag was incredibly confusing, as you
couldn't tell from the calling code what you were
actually expecting to happen.
I avoid the context manager idiom in order to force
the callers to create simple helper functions, and
I de-duplicate some code in some places.
I also force the caller to explicitly soft-deactivate
the user with one simple line of code, so that the
person reading the test doesn't have to research
the side effects of the helper. (And I make it
very easy for new authors to follow the practice
going forward.)
This is also somewhat of a prep commit to avoid
the obfuscated use of refresh_from_db.
The get_user function is poorly named, but I don't want to
sweep the entire codebase yet.
It's also nice to have a test wrapper for little experiments
like profiling tests or hunting down calls to refresh_from_db.
It's possible that we would also just change the new wrapper
to more directly call Django. The `get_user` function isn't
used in a ton of real-world places, so we might want the test
code to just bypass the cache.
I add a bunch of cute helper methods to make
the test a bit more readable.
And then I make sure to get clean objects,
which precludes the need for our callback
functions to refresh the user objects.
And finally I make sure that our validation
functions don't cause any round trips (assuming
we have fetched objects using a standard
Zulip helper, which example_user ensures.)
In feature levels 153 and 154, a new value of "partially_completed"
for `result` in a success (HTTP status code 200) was added for two
endpoints that process messages in batches: /api/delete-topic and
/api/mark-all-as-read.
Prior to these changes, `result` was either "success" or "error" for
all responses, which was a useful API invariant to have for clients.
So, here we remove "partially_completed" as a potential value for
"result" in a response. And instead, for the two endpoints noted
above, we return a boolean field "complete" to indicate if the
response successfully deleted/marked as read all the targeted
messages (complete: true) or if only some of the targeted messages
were processed (complete: false).
The "code" field for an error string that was also returned as part
of a partially completed response is removed in these changes as
well.
The web app does not currently use the /api/mark-all-as-read
endpoint, but it does use the /api/delete-topic endpoint, so these
changes update that to check the `complete` boolean instead of the
string value for `result`.
This adds support for syncing user role via the newly added "role"
attribute, which can be set to either of
['owner', 'administrator', 'moderator', 'member', 'guest'].
Removes durable=True from the atomic decorator of do_change_user_role,
as django-scim2 runs PATCH operations in an atomic block.
Since the cache is flushed when the cutoff or realm changes, the
maximum size of the cache should cap out at the number of streams in
the realm. Raise the max cache size, now that this will not simply
lead to useless cache space for smaller servers.
There is now no longer any reason to have the scheduled_email
enqueuing wait until all of the users' contexts have been generated.
Switch to returning the contexts as an iterator, and send them as we
compute them.
The query plan for fetching recent messages from the arbitrary set of
streams formed by the intersection of 30 random users can be quite
bad, and can descend into a sequential scan on `zerver_recipient`.
Worse, this work of pulling recent messages out is redone if the
stream appears in the next batch of 30 users.
Instead, pull the recent messages for a stream on a one-by-one basis,
but cache them in an in-memory cache. Since digests are enqueued in
30-user batches but still one-realm-at-a-time, work will be saved both
in terms of faster query plans whose results can also be reused across
batches.
This requires that we pull the stream-id to stream-name mapping for
_all_ streams in the realm at once, but that is well-indexed and
unlikely to cause performance issues -- in fact, it may be faster
than pulling a random subset of the streams in the realm.
Chris Bobbe
Aman Agrawal
Satyam Bansal
Tim Abbott
Mateusz Mandera
Alex Vandiver
Prakhar Pratyush
Deepayan Mukherjee
Lauryn Menard
Hemant Umre
David Rosa
Sahil Batra
Steve Howell
Anders Kaseorg