The realm should always be the realm of the stream, and we should
always pass in a stream rather than sometimes passing in a stream name
and other times passing in a stream.
(imported from commit a098d6ed3db218a37c1b6b7c956e847c316c2d13)
There is a scenario where we call process_read_message()
for a message that we haven't recorded as unread before.
I'm not sure how it happens, but I put back code to
guard against crashing. The regression happened in
5752458c821.
(imported from commit 5ce15d2e236b738b445ed88f1733aa0612be0ff3)
We have been persisting muting preferences on the back end for
a while, but we haven't been adding them to page_params for the
client to have at reload/startup time.
(imported from commit d9ca68aa0e4d22bfb0e6ce67fc0bc63981175c8b)
Update get_counts() so that it ignores counts for muted topics
when calculating stream/home unread counts.
(imported from commit 9b4e4da4346c225c535e97d709d3dee032603cc5)
The indirection was more confusing than helpful, especially
since the function had side effects, despite its getter-like
name.
(imported from commit 85d9cf642b4177f62488136f0e0f7f6c9304942e)
Empirically, we only get these for malformed emails where the charset
specified in a message part header does not match the true encoding of
the part. I checked what the resulting Zulip looked like for the
original offender, and it looked find with ignoring errors.
(imported from commit ac6ba65b611cb22d4ec547b75a585abce6fc50b0)
We now bulk-fetch subscription information once from the database
and use it throughout bulk_add_subscriptions in order to avoid
hitting the db O(streams) times.
On my machine this shaved the accounts_register API call from making
66 queries to making 37 queries.
(imported from commit 5dd5ad3f50b2a6edf85b5f1d55ebd697a1c60647)
We have a handy bulk_add_subscriptions function to make cases
like this fast, so lets use it.
On my machine this reduces the number of db queries during account_register
from 112 to 66.
(imported from commit 21a6b31d0f229998d095735b8c581a50ca6aab66)
It shows domains and how many active users they have. A
user is consider active if they have done something at least
as active as updating their pointer in the last day. Domains
with no meaningful activity in the last two weeks are excluded
from the report.
(imported from commit 700cecfc7f1732e9ac3ea590177da18f75b01303)
A small functional change here was to eliminate an enormous "Usage"
headline that was already implicit from the tabs. It would have
complicated the refactoring to try to preserve it, and I don't think
anyone will miss it.
Extracting this template will give us a little more flexibility
to customize future tabs in the /activity page.
(imported from commit bdb0b7030c8ec1e20d4451dc059830c3f5ea7632)
We are still showing the same data points, but the logic to drill
down on details for a particular realm is now all server side,
not client side, and we are smarter about omitting fields. In
summary mode, we don't show empty Name or Email columns. In
detailed mode, we show the realm as a headline instead of a column.
In this version you do lose the ability to see all system users in
the same view, but Waseem is ok with this.
(imported from commit edd2e646ab4cf5783ea64232d0cd621debece8d4)
Before, it was trying to use connection.queries, but Django
could pull the rug out from under us. Now we monkeypatch
the CursorDebugWrapper methods instead.
(imported from commit 25d5bab47673f2b66a6325f48d33e66c31055ab3)
When we send a message, we send some presence information to Tornado
to help it figure out how to generate emails for idle recipients of
a message. This change limits the presence info to being the
intersection of present users and recipients of the message. It is
just an internal optimization to avoid queueing up unneeded data.
The history behind this feature is that I implemented it a while
back, but I think I made a rebase mistake that sent all the presence
data over the wire, despite having code to filter on recipients.
It was mostly harmless, just leading to some inefficiency which is
now fixed.
(imported from commit 7c8e97705afb299c67b99053909e952fbc823551)
When you load the activity report, it will just show summary
counts for realms, but if you click on a realm, you will see
details about users in the realms. You can also click "Show all"
to see an interleaved view of realms and users.
(imported from commit b106557b1fae64d525071afc124b5a8aed319086)
Add rows to the activity report that roll up counts for all
users on each realm, to go along with individual users.
(imported from commit 8104f3ef7fbe406fe0fd2ba1bb00ce76a1ccbee5)
The overall message charset may be null or not match the part's
charset. Even though it's unclear from the documentation,
experimentally using the charset for a message part seems to give you
the charset even for non-multipart emails.
(imported from commit 0e1d23073f4c53041f9760e66a6635f8a94893d1)
For a 4-person stream, we were hitting the DB 8 times, and 4 of
those queries were to lazily get user.email for the 4 recipients
due to upstream code using only(). I added user_profile__email
to the only() call.
I believe this regression started 9/18, and after pushing this
to prod, we would should look at this graph:
https://stats1.zulip.net/graphs/8274cd84588
(imported from commit 70629cb69fe5955c674ba76482609dfe78e5faaf)
This is useful in debugging when you just want to discard all the
messages in a queue because they have the wrong structure.
(imported from commit 8559ac74f11841430b4d0c801d5506ebcb74c3eb)
Instead of collapsing muted messages, just hide them altogether
in view where it makes sense to hide them.
(imported from commit 1c2c987ff302ceb135a025753cf421b4de1aea71)
Use stream.num_subscribers() in check_if_a_bot_is_sending_a_message_to_an_empty_stream().
The num_subscribers() function using Django's count() method, which returns
a single row, vs. len() on an iterator of query rows.
(imported from commit 6157fe248945e9288ee71d8cc39fb6dda4e9a247)
This tests that a bot's owner gets sent a message if the bot
sends a message to a stream with no subscribers. (Presumably
the message will be a PM; we could make the test more precise
in the future.)
(imported from commit 0aaf931a90cb9c7bc3fde8ac545c6b6ad0a55668)
This includes:
* Merging the pull request and issue subject creation functions
* Factoring out pull request and issue content creation
(imported from commit 9cf90e999482a1998431e6483788522101607167)
Some bots created by us do not have owners. Don't try to send a
message to the nonexistent owner.
(imported from commit ab952eccd7d6c4728e9477a106142214b5c81ca9)
Instead just rely on the 2-minute delay in the management command to
batch conversations.
We've had people report being confused or thinking the feature was
broken when they didn't get e-mails because of our rate-limiting, so
let's see if this is not too overwhelming.
(imported from commit 706ddb07b906b5c2edea1159c04acc2ee6f06e29)
Warn inside these functions when you get data on streams that you
are not subscribed to:
add_subscriber
remove_subscriber
user_is_subscribed
The back end should be smart enough not to spam us with subscriber
info that we don't care about.
(imported from commit b27644be2abc37c11ddff884ef392ea208bd1bd3)
Don't send peer_add notifications to users who are already
getting add notifications, because they will already know
about subscribers.
(imported from commit 726b54ae0e30b71440b17d9c51b026872ea96218)
It only grabs the user_profile_id column now. This leads to a
speedup of about 16x between grabbing large ORM objects vs.
small 1-column dictionaries.
(imported from commit 95150bff3fdcbe250b04f014062224af42a6644f)
Splitting out notify_peers() will give us flexibility for cleaning
up how we notify peers for bulk adds.
(imported from commit e108fa2c432cc1fe54d788c58c82c983e0f2394e)
If you expand subscribers on your settings page, you will now see
a query like this in your postgres logs:
SELECT "zerver_userprofile"."email"
FROM "zerver_subscription" INNER JOIN "zerver_recipient" ON ("zerver_subscription"."recipient_id" = "zerver_recipient"."id") INNER JOIN "zerver_userprofile" ON ("zerver_subscription"."user_profile_id" = "zerver_userprofile"."id") WHERE ("zerver_recipient"."type" = 2 AND "zerver_subscription"."active" = true AND "zerver_recipient"."type_id" = 40 AND "zerver_userprofile"."is_active" = true )
The join's still complicated, but the list of fields is one instead of 40+.
(imported from commit 48de1f888193a4d23fcea52d0b633d134e4a3ff7)
get_subscribers_backend() now calls the new get_subscriber_emails()
function, which just queries the email field:
"zerver_userprofile"."email"
...instead of querying about 40 fields that it never uses.
I was able to verify the query slimming by watching my postgres server log.
Also, you can verify that the ORM does roughly 16x less work using values():
>>> def f(): return [sub.user_profile.email for sub in list(Subscription.objects.all().select_related())]
...
>>> def g(): return [row['user_profile__email'] for row in list(Subscription.objects.all().values('user_profile__email'))]
...
>>> def timeit(func): t = time.time(); func(); return time.time() - t
...
>>> timeit(f)
0.045198917388916016
>>> timeit(g)
0.002752065658569336
(imported from commit a69f690a96d076b323fdfc2f4821b0548bdfac7f)
LinkPattern returned a string which contained a placeholder if the URL was
considered invalid. AtomicLinkPattern wrapped this in an AtomicString,
where the placeholder doesn't get removed properly.
m.group(0) is always incorrect because python-markdown modifies your regex
to include more than you specified (this is why part of the message got
duplicated).
(imported from commit 576bdf09c2b677cf4bc56484c363eb05f2110158)
Tim Abbott
Steve Howell
Jessica McKellar
Leo Franchi
Zev Benjamin
Waseem Daher
Kevin Mehall