We now triage message content for possible mentions before
going to the cache/DB to get name info. This will create an
extra data hop for messages with mentions, but it will save
a fairly expensive cache lookup for most messages. (This will
be especially helpful for large realms.)
[Note that we need a subsequent commit to actually make the speedup
happen here, since avatars also cause us to look up all users in
the realm.]
This sets us up a subsequent commit where we need more data
from the Subscription table to build recipient info, so the
function boundary doesn't work any more for get_recipient_info,
which is part of the heavily optimized send-message
path.
We used to share code here with typing notifications, but
typing notifications need a lot less data than the
send-message path, so it's useful to decouple these two
things. The idioms that are duplicated here are pretty simple
one-liners.
compilemessages command now does all the heavy lifting by creating a
language_name_map.json file under locale directory. This file is used
by get_language_list to retrieve the require information.
Fixes: #6486
This commit makes get_recipient_info() faster by never creating
Django ORM objects. We use the ORM to create a values query
instead, and then we iterate over the rows to create various
collections of ids.
In order to avoid lots of code duplication, this commit unifies
how we query UserProfile for PMs and streams. Prior to this
commit we were getting "wide" UserProfile objects out of
our memcached cache. Now we just go to the database with our
list of userids. The new approach at worst adds one hop to the
database for PMs, which aren't really a performance bottleneck
(compared to streams). And the new approach actually saves a
hop when both partners aren't in cache (plus we don't pay the
penalty of hitting the cache itself).
The performance improvement here is easy to measure for messages
to streams with many users, even with all the other activity
that goes on inside do_send_messages(). I took test_performance()
in test_messages.py, set num_extra_users to 3000, and consistently
measured a ~20% speedup in do_send_messages().
This commit also eliminates fetching of emails. We probably
could have done that in a prior commit, but in this commit it
is very explicit that we don't need it. While removing email
from the query is a no-brainer, it actually had a negigible
impact on performance. Almost all the savings here comes from
not create UserProfile objects.
This function returns a summary of recipient data for a message
that's being sent. It's mostly just moving code into the
old function called get_recipient_user_profiles().
This commit is necessary to prevent bringing back emails from the
DB for all N recipients of a message just to see if the feedback
bot is being invoked.
We calculate `service_bot_tuples` earlier in the function, so that
we don't need "full" UserProfile objects later in the function.
This is part of consolidating code that basically just needs to
triage user_ids.
This starts to phase out the need for UserProfile objects in
do_send_messages(). UserProfile objects are expensive to create
for large streams with lots of users. The objects in the code
before this commit aren't even full UserProfile objects.
This change mostly sets up future performance improvements, but
we also get a minor speedup here when we run a test with 3000
stream subscribers.
There is no reason for either render_incoming_message() or
render_markdown() to require full UserProfile objects just to
triage alert words.
By only asking for user_ids, we save extra queries in two
callpaths and we make it easier to start using user_ids in
do_send_messages().
This function is essentially a copy of get_recipient_user_profiles,
which is about to go away. The new function enforces the contract of
typing indicators, which is that they don't apply to streams, which
allows us to use a relatively simple approach for getting user
profile objects.
We are diverging this code, because the send-message path needs
more optimizations.
This change introduces an extra hop to the database, but it is
generally faster due to nuances of the DB and the ORM. It
also sets us up to optimize get_recipient_user_profiles() by
avoiding creating ORM objects.
I measured the impact of this using a stream with 3000
subscribers, half of whom were idle, and it speeds things up
by 10%.
The commit() call in fix() breaks migrations and tests (unless you
mock) due to outer transactions.
We now explicitly call commit() from the management command.
Usually a small minority of users are eligible to receive missed
message emails or mobile notifications.
We now filter users first before hitting UserPresence to find idle
users. We also simply check for the existence of recent activity
rather than borrowing the more complicated data structures that we
use for the buddy list.
This commit completely switches us over to using a
dedicated model called MutedTopic to track which topics
a user has muted.
This includes the necessary migrations to create the
table and populate it from legacy data in UserProfile.
A subsequent commit will actually remove the old field
in UserProfile.
Admins need to know about private streams to delete them, even
if they are not subscribed. We send the minimal info possible
to the client to allow them to have a UI for that.
This never made sense to be a flag on the UserMessage table, since
it's not per-user state. And in fact it doesn't need to be in a
database at all, since it's easily computed from content anyway.
Fixes#1099.
And it works!
A couple of things still to do:
* When a device token is no longer active, we'll get HTTP status 410.
We should then remove the token from the database so we don't keep
trying to push to it. This is fairly urgent.
* The library we're using has a nice asynchronous API, but this
version doesn't use it. This is OK now, but async will be
essential at scale.
This code empirically doesn't work. It's not entirely clear why, even
having done quite a bit of debugging; partly because the code is quite
convoluted, and because it shows the symptoms of people making changes
over time without really understanding how it was supposed to work.
Moreover, this code targets an old version of the APNs provider API.
Apple deprecated that in 2015, in favor of a shiny new one which uses
HTTP/2 to meet the same needs for concurrency and scale that the old
one had to do a bunch of ad-hoc protocol design for.
So, rip this code out. We'll build a pathway to the new API from
scratch; it's not that complicated.
We'd been getting errors from APNs that appeared to say that the
device tokens we were trying to send to were invalid. It turned out
that the device tokens didn't match the "topic" (i.e. app ID) we were
sending, which was because the topic was wrong, which was because we
were using the wrong SSL cert. But for a while we thought it might be
that we were somehow messing up the device tokens we put into the
database. This logging helped us work out that wasn't the issue, and
would have helped our debugging sooner.
This brings type-checking to the last place we fetch
data from Redis, with the exception of our APNs code
which is being replaced (with a Redis-free version,
thanks to improvements in Apple's APNs API) shortly.
This gives us type-checking, to help prevent bugs like the
last couple of commits fixed in our Tornado code and our
missed-message email handling. Fortunately no behavior
changes are needed here.
Redis and the Redis client know nothing but bytes. When we take a
`bytes` object it returns and pass it down as `subject` here, it
causes an exception deep inside message processing if the realm has
any filters, when `bugdown.subject_links` attempts to search the
subject for the filters, which are of course `str` patterns.
For symmetry, make the conversion to bytes on the storing side
explicit too.
Previously, we didn't pass customized HTTP_HOST headers when making
network requests. As we move towards a world where everything is on a
subdomain, we'll want to start doing that.
The vast majority of our test code is written to interact with the
default "zulip" realm, which has a subdomain of "zulip". While
probably longer-term, we'll wish this was the root domain, for now, we
need to make our HTTP requests match what is expected by the test
code.
This commit almost certainly introduces some weird bugs where code was
expecting a different subdomain but the tests doesn't fail yet. It's
not clear how to find all of these, but I've done some grepping.
get_realm_by_email_domain was intended to be registration flow code
not used in other code, but it was leaked to a few places. This
removes one of the main remaining references to it outside the
registration code path.
This is mostly pure code extraction.
It also removes some dead code in update_muted_topic, where
were updating muted_topics spuriously before calling
do_update_muted_topic.
Unlike creating a stream, there's really no reason one would want to
call the function to create a realm while uncertain whether that realm
already existed.
This change is mostly based on a similar commit from hackerkid
in a feature branch. It borrows both code and ideas. Some of
it's my own stuff, as I was working on a newer branch.
We now call get_user_including_cross_realm_email() inside of
user_profiles_from_unvalidated_emails(), instead of using
get_user_profile_by_email.
This requires a few of our callers to pass down sender into us.
One consequence of this change is that we change the symptoms
for trying to send to emails outside of your realm. In some
cases, we simply raise an error that an email is invalid to us
instead of getting into the deeper validate_recipient_user_profiles
check.
We are trying to convert emails to user_profiles earlier in
the codepath. This may cause subtle changes in which errors
appear, but it's probably generally good to report on bad
addressees sooner than later.
This class simplifies the calling sequence to methods like
check_message and _internal_prep_message, and it's also more
type safe.
Checking for message types is encapsulated with calls to is_stream()
and is_private(). There are also shortcut constructors when you
know that the type of the address (stream vs. private), which is often.
An expression like `force_bytes(chr(...))`, on Python 3 where the
`force_bytes` finds itself with something to do because `chr` returns
a text string, gives the UTF-8 encoding of the given value as a
Unicode codepoint.
Here, we don't want that -- rather we want the given value as a
single byte. We can do that with `struct.pack`.
This fixes an issue where the "Link with Webathena" flow was producing
invalid credential caches when run on Python 3, breaking the Zephyr
mirror for any user who went through it anew.
Given typeahed and the fact that this only worked if the person had a
full name that didn't contain whitespace, this side effect of the
original @shortname mentionfeature that we removed was experienced by
users as a bug.
Fixes#6142.
This function optimizes marking streams and topics as read,
by using UserMessage.where_unread(), which uses a partial
index on the "read" flag.
This also simplifies the code path for ordinary message
flag updates.
In order to keep 100% line coverage, I simplified the
logging in update_message_flags, so now all requests
will show the "actually" format.
This is an interim step toward creating dedicated endpoints
for marking streams/topics as reads, so we do error checking
with asserts for flag/operation, so we don't introduce a
temporary translation string.
This is the first part of a larger migration to convert Zulip's
reactions storage to something based on the codepoint, not the emoji
name that the user typed in, so that we don't need to worry about
changes in the names we're using breaking the emoji storage.
This commits adds new helper functions which are:
* get_users_for_soft_deactivation(): This function can be used to
fetch a list of human users which pass the criteria of minimum
inactivity period (in days) passed as a parameter to the function.
* do_soft_activate_users(): Given a list of users this function
reactivates them and help them catch up with the missing message
rows for them in the UserMessage table.
This function will help us in creating undisturbed experience for
returning soft deactivated users.
Tweaked by tabbott to fix minor performance and clarity issues.
This field is convenient for bankruptcy checks. Clients could
calculate it from page_params.unread_msgs before this change, but
it would kind of a painful calculation.
To add count, we had to simplify the mypy annotations, which weren't
really accurate before.
Vishnu Ks
Tim Abbott
Steve Howell
Sarah
Umair Khan
Greg Price
Aditya Bansal
Vishnu Ks
Preston Hansen
Rishi Gupta
rht
David Taylor
James Rowan
Steve Howell
Jack Zhang
Robert Hönig