We want to phase out the use of get_display_recipient
for streams, and this is the last place that I
eliminate it. The next commit will eliminate the
dead code and make mypy types tighter.
This change will make push notifications slightly
slower in some situations, but we avoid all the
complexity of a cache, and this code tends to run
offline.
We could always make this code a bit more efficient
by being a little smarter about what data we fetch
up front. For example, get_apns_alert_title gets
called by a function that already has the stream
name. It's just a bit of a pain to refactor when
you have all the DM codepath mucked up with the
stream codepath.
We generally want to avoid extra moving parts when we
stringify objects. We also want to phase out the use
of get_display_recipient for streams.
Note that we still hit get_display_recipient to
stringify DM and huddle objects, and it's kind of ugly
how we do it, but that's outside the scope of my
current PR.
There's no need for the complexity and extra round
trips to call get_display_recipient in a testing
context.
We also eliminate the unnecessary call to check_string.
This function is poorly named, but that's a sweep
for another day.
The get_display_recipient helper is a clumsy way to get
stream names, and it's not even representative of how
most of our code retrieves stream names.
The new helper also double-checks that the Stream
object has the correct recipient id.
We no longer have to reason about the 12 possible
ways of invoking get_narrow_url. We also avoid
double computation in a couple places.
Finally, we get stricter type checks by just inlining
the calls.
We don't need to call get_display_recipient for
non-stream messages.
I will rename display_recipient in the next commit;
if I were to combine the steps the diff would be too
hard to read.
This commit renames the keyword 'pm' to 'dm' in the
'pm_mention_email_disabled_user_ids' and
'pm_mention_push_disabled_user_ids' attributes of the
'RecipientInfoResult' dataclass.
'pm' and 'dm' are the acronyms for 'private message' and
'direct message' respectively.
It includes 'TODO/compatibility' code to support the old format
fields in the tornado queues during the Zulip server upgrades.
This commit renames the 'PRIVATE_MESSAGE' attribute of the
'NotificationTriggers' class to 'DIRECT_MESSAGE'.
Custom migration to update the existing value in the database.
It includes 'TODO/compatibility' code to support the old
notification trigger value 'private_message' in the
push notification queue during the Zulip server upgrades.
Earlier 'private_message' was one of the possible values for the
'trigger' property of the '[`POST /zulip-outgoing-webhook`]' response;
Update the docs to reflect the change in the above-mentioned trigger
value.
This commit adds 'TODO/compatibility' code to support the
old notification trigger values in the push notification queue
during the Zulip server upgrades.
In f4fa82e, we renamed the following notification triggers:
* 'wildcard_mentioned' to 'stream_wildcard_mentioned'
* 'followed_topic_wildcard_mentioned' to
'stream_wildcard_mentioned_in_followed_topic'.
This should have been added in f4fa82e.
This commit adds code to pass all the required arguments to
select_related call for Message objects such that only the
required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit adds code to pass all the required arguments to
select_related call for Message objects such that only the
required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit adds code to pass all the required arguments to
select_related call for Message objects such that only the
required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit adds code to pass all the required arguments to
select_related call for Message objects such that only the
required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit adds code to pass all the required arguments to
select_related call for Subscription objects such that only
the required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit adds code to pass all the required arguments to
select_related call for MissedMessageEmailAddress such that
only the required related fields are fetched from the database.
Previously, we did not pass any arguments to select_related,
so all the directly and indirectly related fields were fetched
when many of them were actually not being used and made the
query unnecessarily complex.
This commit updates the code to pass "realm" and "recipient" as
arguments to select_related call in get_stream_by_id_in_realm.
Previously, since there was no arguments, it fetched
can_remove_subscribers_group and the related fields of
"Realm" model as well which were not being used, but
did not fetch "recipient" as it is a nullable field.
We only need ID of the recipient and not the full object, so we
directly access ID using "stream.recipient_id" instead of using
the complete recipient object.
This commit removes get_huddle_recipient function and we now use
get_or_create_huddle in get_recipient_from_user_profiles.
As a result of this change, we do not fetch the recipient from
Huddle object but instead get it using the "id" and "recipient_id"
fields available from Huddle object like we do for a personal
message. This change allows us to not fetch recipient object
using select_related when querying the Huddle object.
We now fetch recipient object when querying "Huddle" object in
get_or_create_huddle_backend as this query is eventually used
to get the recipient object only in get_huddle_recipient.
This commit also updates the select_related call in the code to
populate Huddle objects in cache to pass "Recipient" as argument.
Previously no argument was passed to select_related and thus no
related objects were being fetched, with no non-null related fields
being present.
- Adds instructions block and relative link to Starred messages.
- Adds "Toggle starred messages counter" subheading.
- Adds "Searching for messages" as a related article.
It's relatively rare that you want to read the coverage report
if the coverage tests pass. This allows devs to get quicker
feedback. Particularly on tricky rebases this can be a real
time saver. It takes about a minute to write the coverage
report on my box.
Makes a few updates to the text to match current API documentation
styles.
Updates the endpoint example to have accurate stream objects that
are returned in the response.
Fixes formatting of link in feature level 199 changeog entry.
Updates stream object examples for the `stream_weekly_traffic`
field added in feature level 199.
As discussed in the comment, it doesn't really make sense for our 4
jobs that we run in parallel for different platforms to all start with
running the backend tests. While it's true that puppeteer will likely
fail if the backend doesn't run, and thus there's a mild prerequisite
relationship there, what is far more common is the node tests fail and
the user doesn't get that input for 10 minutes unnecessarily while all
the backend jobs run, and this change lets us avoid that.
This allows us to not have to keep extending the tool for every
one-off use case and set of users; we build a pipeline to generate the
appropriate JSON file, write a template which uses the data it
provides, and run the tool with them together.
Steve Howell
Tim Abbott
Prakhar Pratyush
Sahil Batra
David Rosa
Lauryn Menard
Anders Kaseorg
Zixuan James Li
Karl Stolley
Alex Vandiver