In a non interleaved view when composing a message to another
conversation we fade messages which the user is not replying to,
to reduce the chance they send a message to a recipient they didn't
intend to. Also, it reduces the visual/cognitive processing required
to figure out where their message is going to go.
But, it's not necessarily clear to users that what the
fading means, so this commit adds a one-time compose banner
to explain what's going on the first time this comes up.
Fixes part of #29076.
A new table is created to track which path_id attachments are images,
and for those their metadata, and which thumbnails have been created.
Using path_id as the effective primary key lets us ignore if the
attachment is archived or not, saving some foreign key messes.
A new worker is added to observe events when rows are added to this
table, and to generate and store thumbnails for those images in
differing sizes and formats.
bulk fetch query of UserPfrofile against which
user_ids are validated, instead of looping
over user_ids and fetchingeach UserPfrofile resulting
in O(n) queries.
Previously the bot sent bot commands whenever an undefined message
was sent by the user. This commit intends to fix the problem so that
the bot will only respond to the first message it does not understand
and not reply to any future undefined messages.
Fixes part of #30049.
In a2ef1d7e93, we made changes so
that when you send a message, your view jumps to the conversation
where you sent it.
For some users it was an improvement, few reported that it
disrupts their workflows.
This prep commit adds a setting which will be used to allow users
to decide whether to automatically go to conversation where they
sent a message.
This commit renames the "Huddle" Django model class to
"DirectMessageGroup", while maintaining the same table --
"zerver_huddle".
Fixes part of #28640.
Previously, when a referrer's invitation to Zulip was accepted,
they got a notification from notification-bot indicating
their invitation has been accepted.
This commit adds an option for referrer to decide
whether he wants to receive the direct notification
from the notification-bot.
Fixes: #20398
This prep commit adds a new OnboardingUserMessage model
that will be used to mark the new onboarding messages
for new users as unread and the first message of each
onboarding topic as starred.
This table won't include the old onboarding messages.
This commit performs a sweep on the first batch of non API
files to rename "huddle" to "direct_message_group`.
It also renames variables and methods of type -
"huddle_message" to "group_direct_message".
This is a part of #28640
As a follow up for f49a11c810, this
commit standardizes the naming of the day and night themes to light
and dark, respectively in the backend. This makes the backend
consistent with the naming used in the frontend and UI.
This also solves a regression introduced in
f49a11c810, where the frontend was sending
"/light" and "/dark" commands to the backend, but the backend was
expecting "/day" and "/night" commands.
Multiple events may be created with the same timestamp; we add a
default ordering by "id" such that these have a consistent ordering in
tests (to solve for flaky tests), as well as in the internal API.
This commit removes create_private_stream_policy setting as
we now use new group based setting.
The "/register" response includes realm_create_private_stream_policy
field to return a value representing superset of users who have the
permission to create private channels, as older clients still expect
this field.
This commit helps in using the realm object which has the
prefetched group settings so that we can avoid extra queries
when calculating fields like can_create_public_streams.
There is no need to prefetch group settings using select_related
in get_realm as we only need to save queries when computing the
setting values in fetch_initial_state_data and we already refetch
the realm using get_realm_with_settings for that.
This commit updates code to prefetch realm group settings like
"can_create_public_channel_group" only when computing settings
for "/register" response by refetching the realm object with
select_related instead of fetching those settings in UserProfile
query.
This change is done because we do not need to prefetch these
settings for every UserProfile object and for most of the cases
where these settings are actually accessed, we can afford extra
query like when checking permission to create streams. But we
cannot afford one query extra for each setting when computing
these settings for "/register" response, so we re-fetch the
realm object with select_related leading to only one extra
query.
The query count changes in tests are -
- Query count increases by 1 when calling fetch_initial_state_data
for computing can_create_public_streams because Realm object from
UserProfile does not have prefetched setting fields.
- Query count increases by one in test_subs where streams are
created which is as expected due to the setting not being prefetched.
- Query count increases by 2 in tests in test_home.py where one
query is to refetch the realm object and one for computing
can_create_public_streams as mentioned above.
This commit removes create_public_stream_policy setting
since public channel creation permissions are now handled
by group-based setting.
We still pass "realm_create_public_stream_policy" in
"/register" response though for older clients with its
value being set depending on the value of group based
setting. If we cannot set its value to an appropriate
enum corresponding to the group setting, then we set
it to "Members only" considering that server will not
allow the users without permissions to create public
channels but the client can make sure that UI is
available to the users who have permission.
Migrate all `ids` of anything which does not have a foreign key from
the Message or UserMessage table (and would thus require walking
those) to be `bigint`. This is done by removing explicit
`BigAutoField`s, trading them for explicit `AutoField`s on the tables
to not be migrated, while updating `DEFAULT_AUTO_FIELD` to the new
default.
In general, the tables adjusted in this commit are small tables -- at
least compared to Messages and UserMessages.
Many-to-many tables without their own model class are adjusted by a
custom Operation, since they do not automatically pick up migrations
when `DEFAULT_AUTO_FIELD` changes[^1].
Note that this does multiple scans over tables to update foreign
keys[^2]. Large installs may wish to hand-optimize this using the
output of `./manage.py sqlmigrate` to join multiple `ALTER TABLE`
statements into one, to speed up the migration. This is unfortunately
not possible to do generically, as constraint names may differ between
installations.
This leaves the following primary keys as non-`bigint`:
- `auth_group.id`
- `auth_group_permissions.id`
- `auth_permission.id`
- `django_content_type.id`
- `django_migrations.id`
- `otp_static_staticdevice.id`
- `otp_static_statictoken.id`
- `otp_totp_totpdevice.id`
- `two_factor_phonedevice.id`
- `zerver_archivedmessage.id`
- `zerver_client.id`
- `zerver_message.id`
- `zerver_realm.id`
- `zerver_recipient.id`
- `zerver_userprofile.id`
[^1]: https://code.djangoproject.com/ticket/32674
[^2]: https://code.djangoproject.com/ticket/24203
These models have no external references, and are among the larger
tables. Migrate them to bigints, starting with `useractivityinterval`
which is less likely to be being touched.
This index is used by `active_users_audit:is_bot:day`, and provides
roughly a 2x speedup. The existing
`zerver_realmauditlog_realm__event_type__event_time` is used if there
is a realm limit, but the standard statistics fill runs for all realms
at once, and thus cannot use it.
Migration plan:
1. Add NULLable .last_update_id column to UserPresence with default 0
for new objects.
2. Backfill the value to 0 for old UserPresences, can be done in the
background while server is running.
3. Make the column non-NULL.
4. Add new model PresenceSequence and create its rows for old realms.
Previously, when the operand of id operator was more than
2147483647, it was raising server error. This is because the
maximum permissible PostgreSQL integers value is 2147483647.
This is fixed by raising a BadNarrowOperatorError in case the
id operand is larger than 2147483647.
Removes the 'onboarding_steps' field on 'UserProfile'
model which is no longer used.
It was introduced back in 2013 (b5e22bf), and is no
longer used.
Fixes part of #30043.
This commit updates code, majorly in tests, to use
setting values from enums instead of directly using
the constants defined in Realm.
We still have those constants defined Realm as they
are used in a couple of places where the same code
is used for different settings. These will be
handled later.
This commit adds include_realm_default_subscriptions parameter
to the invite endpoints and the corresponding field in
PreregistrationUser and MultiuseInvite objects. This field will
be used to subscribe the new users to the default streams at the
time of account creation and not to the streams that were default
when sending the invite.
Mark the channel name of the initial channel created during
realm creation for translation.
It doesn't mark the topic names and description for translation
because we are planning to remove these topics and update the
description as a part of improving the onboarding experience.
We no longer create the 'core team' private channel when
a realm is created.
Earlier, "New user announcements" channel was set to the
"core team" channel. Now it is disabled by default.
populate_db still creates the 'core team' channel to
represent a private channel.
Fixes#29632.
The issue description explains this well:
We currently recalculate `currently_used_upload_space_bytes` every file
upload, by dint of calling `flush_used_upload_space_cache` on
save/delete, and then immediately calling
`user_profile.realm.currently_used_upload_space_bytes()` in
`notify_attachment_update`. Since this walks the Attachments table,
recalculating this can take seconds in large realms.
Switch this to using a CountStat, so we don't need to walk significant
chunks of the Attachment table when we upload an attachment. This will
also give us a historical daily graph of usage.
Prakhar Pratyush
Alex Vandiver
Anders Kaseorg
bedo
codewithnick
Vector73
Aman Agrawal
Prakhar Pratyush
roanster007
Shashank Singh
Sayam Samal
Sahil Batra
Mateusz Mandera
Tim Abbott
Kislay Verma