Fixes “RemovedInDjango40Warning: Passing None for the middleware
get_response argument is deprecated.” from LogRequests().
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Enable spectator access for test `zulip` realm in developement
setup.
Add option in `do_create_realm` to configure
`enable_spectator_access` field of `Realm`.
It is confusing to have the plan type constants not be namespaced
by the thing they represent. We already have a namespacing
convention in place for constants, so we should use it for
Realm.plan_type as well.
Fixes these warnings from populate_db:
/srv/zulip-py3-venv/lib/python3.6/site-packages/django/db/models/fields/__init__.py:1419: RuntimeWarning: DateTimeField Draft.last_edit_time received a naive datetime (2021-09-10 23:33:15.063608) while time zone support is active.
RuntimeWarning)
/srv/zulip-py3-venv/lib/python3.6/site-packages/django/db/models/fields/__init__.py:1419: RuntimeWarning: DateTimeField Draft.last_edit_time received a naive datetime (2021-09-10 23:33:15.065517) while time zone support is active.
RuntimeWarning)
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This utilizes the generic `BaseNotes` we added for multipurpose
patching. With this migration as an example, we can further support
more types of notes to replace the monkey-patching approach we have used
throughout the codebase for type safety.
When calling some functions or assigning values to certain attributes,
the arguments/right operand do not match the exact type that the
functions/attributes expect, and thus we fix that by converting types
beforehand.
We were disabling push_notifications logger but weren't enabling
it back. This caused failures on porting logging mocks to assertLogs
as assertLogs expects a log to be generated.
See 9c224ccdd3 for why we disable
these. (To avoid logs spam from push_notifications_logger)
Since do_create_realm also creates general and core team streams,
we rename general to verona right after the realm is created. Mostly
because we dont really want two additional streams and this might
probably make it easy to review things.
There are puppeteer test changes because, we have a new "core team"
stream in tests as well as there is a new default notification stream
"Verona". Because of this tests in message-basics for example have
to be changed since the newly added core team affects the order in
which we navigate through the streams using arrow keys.
The extra await for selector was added in subscriptions test to make
the tests wait. Without the await the tests were passing ocassionally
and failing in some other times.
Fixes#6967
An organization with at most 5 users that is behind on payments isn't
worth spending time on investigating the situation.
For larger organizations, we likely want somewhat different logic that
at least does not void invoices.
We failed to update this fork for the Django 3.2 upgrade. Unfork it
so that’s not something we need to remember to do.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Changed the name of the test-user cordelia from `Cordelia Lear` to
`Cordelia, Lear's daughter`.
This change will enable us to test users with escape characters in
their names.
I also updated the Node, Puppeteer, Backend tests and Fixtures to
support this change.
Added emojis and Non ASCII characters to default
stream names and descriptions.
Added raw_emojis array under streams so that
we can pass --extra-streams argument without
--extra-users as it should be.
Added non ascii and non bmp characters to stream names.
A Stream Name will now consist of a random stream name +
a number (to avoid name duplicates) + a 15% to contain
a emoji.
Added non ASCII and non bmp characters to full name.
Created a new list for non_ascii_names and emojis
to store them explicitly.
A full name will now consist of first name +
(a non ASCII name or a plain middle name) + (a emoji
or a plain last name).
First name will not have any non ASCII or non bmp text
as it is also being used as email.
This adds the is_user_active with the appropriate code for setting the
value correctly in the future. In the following commit a migration to
backfill the value for existing Subscriptions will be added.
To ensure correct user_profile.is_active handling also in tests, we
replace all direct .is_active mutation with calls to appropriate
functions.
Note that at this point, it's not possible to create moderator users;
this just will make it easier to write tests for logic involving them
as we develop the feature.
user_profile.id was confused for user_profile.recipient_id. These bugs
are particularly sneaky as they can go undetected by tests due to ids of
objects accidentally coinciding. We add a mitigation for this class of
mistakes by shifting the Recipient.id sequence in test db.
This was introduced in dda3ff41e1.
On the rare occasion where user_profile.id would coincide with
recipient_id passed to the function, we would return the wrong value.
That is, instead of correctly returning recipient_id, we would return
sender.recipient_id - recipient id of the sender of the message, thus
possibly returning user_profile.recipient_id (if user_profile is the
sender) - exactly the situation the function wanted to avoid
with the `if recipient_id == my_recipient_id:` if. Ultimately resulting
in incorrect/malformed data in
state['raw_recent_private_conversations'].
For 3000 messages and 400 users, this saved
about 30 seconds.
We only do two queries per batch of messages
now, and the algorithm is easier to analyze,
as it's just three nested loops.
I think it's important that the callers understand
that bulk_add_subscriptions assumes all streams
are being created within a single realm, so I make
it an explicit parameter.
This may be overkill--I would also be happy if we
just included the assertions from this commit.
SIGALRM is the simplest way to set a specific maximum duration that
queue workers can take to handle a specific message. This only works
in non-threaded environments, however, as signal handlers are
per-process, not per-thread.
The MAX_CONSUME_SECONDS is set quite high, at 10s -- the longest
average worker consume time is embed_links, which hovers near 1s.
Since just knowing the recent mean does not give much information[1],
it is difficult to know how much variance is expected. As such, we
set the threshold to be such that only events which are significant
outliers will be timed out. This can be tuned downwards as more
statistics are gathered on the runtime of the workers.
The exception to this is DeferredWorker, which deals with quite-long
requests, and thus has no enforceable SLO.
[1] https://www.autodesk.com/research/publications/same-stats-different-graphs