I think this is more pythonic?
We could also get rid of LoggingCountStats altogether, since it's now just a
special case of CountStat (is_logging == data_collector.pull_function is None).
But I think it's nice to keep the distinction since they behave so differently.
Removes the circular dependency of CountStat containing a DataCollector, and
DataCollector containing a function that takes a CountStat as an argument.
This will allow us to appropriately generalize CountStat to include
LoggingCountStat and CustomPullCountStat. It'll also make life easier when
we introduce DependentCountStat.
The previous zerver_* names were unwieldy and not very readable. This also
puts more of the useful information in one place; in particular, makes it
easier to skim a CountStat declaration and see if we're collecting it at a
user/stream granularity or a realm granularity.
It turned out to not be that useful once we added subgroup. The previous
design of the CountStat object also assumed more reuseability of the *_query
strings than what ended up happening.
The filter_args also had some carrying costs:
* It's hard to be confident that filter_args other than the ones explicitly
in our tests would have had expected behavior.
* The filter_args/join_args system is the most complex part of the CountStat
object, and makes understanding the *_query strings unnecessarily
difficult for a new contributor.
Useful for the upcoming check_realmauditlog_by_user_query, if nothing else.
But I suspect it will indeed get use; looking for events around or within a
certain time is pretty natural for an audit log.
The main argument against I would say is that this should actually be a
joint index with something else. I'm not sure what that something else
should be, so just optimizing for what I think
check_realmauditlog_by_user_query will need for now.
Groundwork for allowing stats like "Monthly Active Users".
CountStat.interval is no longer as clean a value as before, so removed it
from views.get_chart_data. It wasn't being used by the frontend anyway.
Removing interval from logger calls in counts.py is not a big loss since we
now include the frequency (which is typically also the interval) in
CountStat.property.
The comment explains this change is fairly good detail. This change
is designed to fix complaints that sometimes clicking on a message to
reply doesn't work, which we can reproduce as being caused by clicks
that happen simultaneous with a few pixels of mouse motion at the same
time as the click.
Comment and commit message rewritten by tabbott for clarity.
This fixes an issue with a nondeterministic number of database queries
being used in fetching bulk messages from the database. The source of
the problem was that we were fetching _all_ messages, not just the 600
that had been created by the test, and thus if the set of streams
present in messages in the test fixtures (which is random) changes,
the number of streams used (and thus number of queries) would change.
Apparently, Django's _destroy_test_db has a mostly unnecessary
sleep(1) before dropping the database, which obviously wastes a bunch
of time in the single-test runtime of their database teardown logic.
We work around this by monkey-patching that function to not do the sleep.
Instead of zulip_test, use zulip_test_template for backend DB. This
makes sure that the DB used by backend tests is different from the
DB, which will be zulip_test, used by Casper tests.
In backend tests, only call generate-fixtures when --generate-fixtures
is explicitly passed or is_template_database_current() returns False.
We don't need to flush cache for backend tests because we bounce the key
prefix used to create cache keys before running every test
The extraction here is straightforward, but where we put the
caller is a slightly subtle change. Instead of continuing to
invoke this code at the end of show_box(), we instead call it
at the beginning of complete_starting_tasks(). This change is
valid, because show_box() and complete_starting_tasks() are only
ever called from compose.start().
Show a user friendly message to the user if email is invalid.
Currently we show a generic message:
"Your username or password is incorrect."
The only backend which can accept a non-email username is LDAP.
So we check if it is enabled before showing the custom message.
The code in fixtures.py is only called from populate_analytics_db, and is
only used for generating pretty fixture data for manual testing. This commit
adds tests for a few things that were easy to add tests for, and provides
some minimal coverage of the file, but is not meant to be comprehensive.