Having both messages_sent:hour and messages_sent:is_bot:day is confusing,
since a single messages_sent:is_bot:hour would have a superset of the
information and take less total space. This commit and its parent together
replace the two stats with a single messages_sent:is_bot:hour.
Includes a database migration. The interval field was originally there to
facilitate time aggregation (e.g. aggregate_hour_to_day), but we now do such
aggregations in views code or in the frontend.
A few reasons:
* Our two other subgroup'd message stats in UserCount are at CountStat.DAY
frequency (messages_sent:is_bot and messages_sent:message_type).
* Keeping this stat at hourly frequency would likely double the size of our
analytics table, given the current stats. (Counterpoint: if there are
roughly as many active streams as active users, and we keep
messages_sent_to_stream:is_bot at hourly frequency, then maybe this stat
is only a 30% or 50% increase).
* We're currently only showing this on the frontend as a pie chart anyway.
Previously, this function seemed ambivalent about whether it was generating
a series of abstract data points or a series of data points that would
correspond to times. Switch firmly to the latter, so e.g. if the frequency
changes, so will the length of the output sequence.
Not sure if this would actually be a performance problem in practice, but
this was originally making a database query for each subgroup (instead of
just a single query getting data for all the subgroups).
Also removed the filter against the interval column, which will soon not be
needed (interval will be uniquely determined by the property).
Adds two things to TestCountStats.setUp():
* A realm with no messages, that generally should not show up in *Count
tables,
* Users/streams/messages created at 0, 1, 61, and 1441 (just over a day)
minutes ago (previously was 0, 60), to better test the start_time/end_time
in the queries, and the frequency/interval setting in the CountStats.
For the "GROUP PMs" part of the right sidebar, we now have
accurate hrefs when you hover over the groups or right-click
to copy links or open links in new tabs.
The slugs for PM-with narrows now have user ids in them, so they
are more resilient to email changes, and they have less escaping
characters and are generally prettier.
Examples:
narrow/pm-with/3-cordelia
narrow/pm-with/3,5-group
The part of the URL that is actionable is the comma-delimited
list of one or more userids.
When we decode the slugs, we only use the part before the dash; the
stuff after the dash is just for humans. If we don't see a number
before the dash, we fall back to the old decoding (which should only
matter during a transition period where folks may have old links).
For group PMS, we always say "group" after the dash. For single PMs,
we use the person's email userid, since it's usually fairly concise
and not noisy for a URL. We may tinker with this later.
Basically, the heart of this change is these two new methods:
people.emails_to_slug
people.slug_to_emails
And then we unify the encode codepath as follows:
narrow.pm_with_uri ->
hashchange.operators_to_hash ->
hashchange.encode_operand ->
people.emails_to_slug
The decode path didn't really require much modication in this commit,
other than to have hashchange.decode_operand call people.slug_to_emails
for the pm-with case.
Previously, if a script called by provision threw an error, the
traceback for the called script would be lost far above the traceback
from provision itself in the terminal history, resulting in a great
deal of confusion about what the actual problem was.
Before this commit, provisioning was done by executing provision.py,
which printed the log directly to stdout, making debugging harder.
This commit creates a wrapper bash script 'provision' in tools, which
calls 'zulip/scripts/tools/provision_vm.py' (the new location of
provision.py) and prints all the output to
'zulip/var/log/zulip/zulip_provision.log' via 'tee'.
Travis tests and docs have been modified accordingly.
hackerkid
Sampriti Panda
Tim Abbott
Yago González
Rishi Gupta
aakash-cr7
Amy Liu
Umair Khan
Steve Howell
Cynthia Lin
Ayush Goyal
Robert Hönig