Previously, we were using user_profile.email rather than
user_profile.delivery_email in all calculations involving Gravatar
URLs, which meant that all organizations with the new
EMAIL_ADDRESS_VISIBILITY_ADMINS setting enabled had useless gravatars
not based on the `user15@host.domain` type fake email addresses we
generate for the API to refer to users.
The fix is to convert these calculations to use the user's
delivery_email. Some refactoring is required to ensure the data is
passed through to the parts of the codebase that do the check;
fortunately, our automated tests of schemas are effective in verifying
that the new `sender_delivery_email` field isn't visible to the API.
Fixes#13369.
Apparently, the refactor months ago that introduced finalize_payload
wasn't applied to the outgoing webhook code path, resulting in message
dicts with an unexpected format with no avatar_url and some extra
values that were intended to be internal details not relevant to
external clients.
Because this API is not widely used, we expect there to be little to
no impact of converting this back to matching the `get_messages`
interface, as it once was and has always been intended to be.
The one somewhat tricky detail is that we include both the `content`
and `rendered_content` fields, rather than asking the client to pick
which they want via the `apply_markdown` flag, because there is no
place for the client to configure that setting.
Priviously, we rendered the topic links using the msg.sender.realm.
This resulted in issues with Zulip's internal bots not having access
to the realm_filters of the destination stream's realm. For example,
sending a message via the email gateway or notification would not
linkify any realm filters that a user would expect them to.
Fixes#1727.
With the server down, apply migrations 0245 and 0246. 0246 will remove
the pub_date column, so it's essential that the previous migrations
ran correctly to copy data before running this.
Previously, the unread_msgs data structure accounting (used for both
the web and mobile apps to determine the "Unread mentions" count
displayed in the UI) did not include wildcard mentions at all.
We fix this by adding the logic required to include properly that
data, with tests. As discussed in #6040, it makes sense to include
muted streams and topics for the purpose of this calculation.
Fixes part of #6040.
This was used as a helper to construct the final display_recipient when
fetching messages. With the new mechanism of constructing
display_recipient by fetching appropriate users/streams from the
database and cache, this shouldn't be needed anymore.
Instead of having the rather unclear type Union[str,
List[UserDisplayRecipient]] where display_recipient of message dicts was
involved, we use DisplayRecipientT (renamed from DisplayRecipientCacheT
- since there wasn't much reason to have the word Cache in there), which
makes it clearer what is the actual nature of the objects and gets rid
of this pretty big type declaration.
Since the display_recipients dictionaries corresponding to users are
always dictionaries with keys email, full_name, short_name, id,
is_mirror_dummy - instead of using the overly general Dict[str, Any]
type, we can define a UserDisplayRecipient type,
using an appropriate TypedDict.
The type definitions are moved from display_recipient.py to types.py, so
that they can be imported in models.py.
Appropriate type adjustments are made in various places in the code
where we operate on display_recipients.
The user information in display_recipient in cached message_dicts
becomes outdated if the information is changed in any way.
In particular, since we don't have a way to find all the message
objects that might contain PMs after an organization toggles the
setting to hide user email addresses from other users, we had a
situation where client might see inaccurate cached data from before
the transition for a period of up to hours.
We address this by using our generic_bulk_cached_fetch toolchain to
ensure we always are fetching display_recipient data from the database
(and/or a special recipient_id -> display_recipient cache, which we
can flush easily).
Fixes#12818.
The typing for generic_bulk_cached_fetch is complicated, and was
recorded incorrectly previously for the case where a cache_transformer
function is required. We fix this by adding the new CacheItemT, and
additionally add comments explaining what's going on with these types
for future reference.
Thanks to Mateusz Mandera for raising this issue.
Previous cleanups (mostly the removals of Python __future__ imports)
were done in a way that introduced leading newlines. Delete leading
newlines from all files, except static/assets/zulip-emoji/NOTICE,
which is a verbatim copy of the Apache 2.0 license.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
This gives us access to typing_extensions.Deque, which was not added
to typing until 3.5.4.
(PROVISION_VERSION is not bumped because the transitive dependency set
in dev.txt hasn’t changed.)
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
This renames Subscription.in_home_view field to is_muted, for greater
clarity as to what it does just from seeing the setting name, without
having to look it up.
Also disabled an obsolete test_migrations test.
Fixes#10042.
This adds experimental support in /register for sending key
statistical data on the last 1000 private messages that the user is a
participant in. Because it's experimental, we require developers to
request it explicitly in production (we don't use these data yet in
the webapp, and it likely carries some perf cost).
We expect this to be extremely helpful in initializing the mobile app
user experience for showing recent private message conversations.
See the code comments, but this has been heavily optimized to be very
efficient and do all the filtering work at the database layer so that
we minimize network transit with the database.
Fixes#11944.
This commit leverages the ahocorasick algorithm to build a set of user_ids
that have their alert_words present in the message. It runs in linear time
of the order of length of the input message as opposed to number of
alert_words. This is after building a ahocorasick Automaton which runs
in O(number of alert_words in entire realm) which is usually cached.
We'll use this in the push-notifications code, in a context where
there should definitely already be UserMessage rows if everything's
gone normally... but explicitly checking at the top seems like the
right pattern from a secure-coding perspective.
For the import-data codepath, we will call
the extracted function directly in a
subsequent commit.
The do_render_markdown() function has more
required parameters, which allows for more
explicit code and also allows us to flatten
out some logic related to alert words. (We
just pass in empty sets/dicts as needed).
After the messages have been imported, set the rendered_content of the
messages instead of leaving its value to be 'None'.
This is important to ensure that:
(1) Performance for users is good after completing the import.
(2) The database's full-text indexes have all of the imported messages
(which only happens properly when Message rows have their
rendered_content field edited).
Fixes#9168.
This doesn't seem to have a huge performance downside (less than 1s
extra time for loading / on chat.zulip.org), and it means the
possibility of users having so many unreads that we get weird/buggy
behavior is much more unlikely to exist.
We'll still want a better experience for users who somehow go over
this limit, but it can be pretty firmly "you need to go mark some
things as read".
This should have no effect for now, but it'll make things a bit
simpler in case we make future changes to support public streams
without history public to subscribers (and other organization
members).
Tim Abbott
Rohitt Vashishtha
Mateusz Mandera
Anders Kaseorg
Roman Godov
Bennet Sunder
Greg Price
Anders Kaseorg
Vishnu Ks
Steve Howell
Joshua Pan
Rhea Parekh
Shubham Dhama
jkiely
Aditya Bansal
Nikhil Kumar Mishra
neiljp (Neil Pilgrim)
rht