Commit Graph

190 Commits

Author SHA1 Message Date
Rishi Gupta 6ab31d1bac analytics: Move time computation to later in get_chart_data. 2017-02-10 14:40:14 -08:00
Tim Abbott ec52322ae1 stats: Include Zulip and realm name in heading. 2017-02-07 11:22:57 -08:00
Tim Abbott 6c4eaf3d14 analytics: Map client names to user-facing versions.
This makes the pie charts on /stats more readable.
2017-02-05 22:19:10 -08:00
Tim Abbott 161522e04c analytics: Add comment explaining server admin routes. 2017-02-02 16:23:10 -08:00
Rishi Gupta 5eb5fa3f31 analytics: Change time_range to not include current day/hour.
Current day/hour will always be 0, since we haven't computed it yet for the
CountStat tables.
2017-02-02 10:59:52 -08:00
Tim Abbott e8b0880320 analytics: Log updates to analytics counts. 2017-02-01 17:02:46 -08:00
umkay 76f3d02590 analytics: Add cron job to run analytics jobs.
This adds a cron job to update the Zulip analytics counts, complete
with locking etc.

Substantially tweaked by tabbott.
2017-02-01 17:02:46 -08:00
Tim Abbott b7df84d5a8 analytics: Add indexes to optimize performance of aggregation.
These indexes fix some slow queries used in updating the analytics
tables, resulting in the analytics system consuming far less total
resources.
2017-02-01 15:47:49 -08:00
Amy Liu 0a39e354dc analytics: Add graphs of usage statistics on /stats.
This adds a frontend for the analytics system we've had for a few
months, showing several graphs of the data in Zulip.

There's a ton more that we can do with this tooling, but this initial
version is enough to provide users with a pretty good experience.

Fixes #2052.
2017-01-31 22:18:54 -08:00
Tim Abbott 4e171ce787 lint: Clean up E126 PEP-8 rule. 2017-01-23 22:06:13 -08:00
Tim Abbott d6e38e2a5c lint: Clean up E123 PEP-8 rule. 2017-01-23 21:34:26 -08:00
Tim Abbott 9cc83f87fc lint: Clean up E241 PEP-8 rule. 2017-01-23 21:21:14 -08:00
Tim Abbott 9640a9e864 lint: Clean up E712 PEP-8 rule. 2017-01-23 21:11:18 -08:00
Rishi Gupta 29799d93c6 analytics/views.py: Always return time series data for stats.
Makes a number of simplications to the analytics views code. The main one is
that we now return the entire data series, even if the data is eventually
going to go into a pie chart. This was prompted by us wanting several
different pie charts for each stat (one for last 30 days, one for all time,
etc), but I think it is also a more natural API. The total amount of data
being sent for the pie charts now is maybe half of what is being sent for
our single 'hourly' stat, or maybe up to 10,000 ints per year the
organization has been around.

The other big change is that the data being sent back is now always explicit
about whether it is data about the realm (stored in data['realm'], or data
about the user (stored in data['user']).
2017-01-19 17:44:17 -08:00
Rishi Gupta 734ca4644c analytics: Add random_seed argument to generate_time_series_data. 2017-01-17 15:54:57 -08:00
Rishi Gupta 37bdc7c010 analytics: Remove COUNT_STATS['messages_sent:hour'].
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.
2017-01-17 15:54:57 -08:00
Rishi Gupta b593ac9d7c analytics: Change messages_sent:is_bot to hourly frequency.
In preparation for replacing messages_sent.
2017-01-17 15:54:57 -08:00
Rishi Gupta 68fcb4152f analytics: Remove interval field from *Count tables.
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.
2017-01-17 15:54:57 -08:00
Rishi Gupta a8f2ebb443 analytics: Include interval in COUNT_STATS property names. 2017-01-17 15:54:57 -08:00
Rishi Gupta c466036c80 analytics: Remove unneeded references to interval from test_counts.py. 2017-01-17 15:54:57 -08:00
Rishi Gupta 12d277d4f4 analytics: Change messages_sent:client stat to daily frequency.
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.
2017-01-17 15:54:57 -08:00
Rishi Gupta 690002aef8 analytics: Add fixtures for several CountStats. 2017-01-17 15:54:57 -08:00
Rishi Gupta 2710a944e8 analytics: Refactor fixture creation to make it more general.
Also less verbose, in preparation for adding a bunch more fixtures.
2017-01-17 15:54:57 -08:00
Rishi Gupta 1f4a4e5e26 analytics: Force --clear-existing-data option in populate_analytics_db.
Makes more sense for a fixture generating script to just clear the existing
data every time.
2017-01-17 15:54:57 -08:00
Rishi Gupta 680e7f75e1 analytics: Change generate_time_series_data argument from length to days.
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.
2017-01-17 15:54:57 -08:00
Rishi Gupta 3712fda30d analytics: Ensure fixture data points are non-negative. 2017-01-17 15:54:57 -08:00
Rishi Gupta ecfc336a15 analytics: Add views for remaining /stats graphs. 2017-01-17 15:54:57 -08:00
Rishi Gupta 73c0c4c52e analytics/views.py: Increase efficiency of get_time_series_by_subgroup.
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).
2017-01-17 15:54:57 -08:00
Rishi Gupta d873902755 analytics/views.py: Refactor get_messages_sent_by_humans_and_bots.
Refactor out the reusable parts, since we're about to add several more
views.
2017-01-17 15:54:57 -08:00
Rishi Gupta 3a72b5cda9 analytics: Rename messages_sent_to_realm.
Several additional stats in the pipeline that also relate to messages sent
to the realm.
2017-01-17 15:54:57 -08:00
Rishi Gupta cdb1c96169 analytics tests: Refactor assertCountEquals calls to be more readable. 2017-01-17 15:54:57 -08:00
Rishi Gupta 59d50c3a47 analytics tests: Make it easy to refer to users in test realm. 2017-01-17 15:54:57 -08:00
Rishi Gupta 54e66e6079 analytics: Add remaining backend tests in TestCountStats. 2017-01-17 15:54:57 -08:00
aakash-cr7 b373f2ef0f analytics: Add backend test for messages_sent_to_stream:is_bot. 2017-01-17 15:54:57 -08:00
Amy Liu 10c0c2b16d analytics: Add backend tests for messages_sent:message_type. 2017-01-17 15:54:57 -08:00
Rishi Gupta f30b174199 analytics: Set property and interval defaults in assertCountEquals. 2017-01-17 15:54:57 -08:00
Rishi Gupta a563a15f88 analytics: Make TestCountStats tests more robust.
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.
2017-01-17 15:54:57 -08:00
Rishi Gupta e94bc8f142 analytics tests: Autogenerate names for create* functions. 2017-01-17 15:54:57 -08:00
Amy Liu f7ce76fb63 analytics: Add create_stream_with_recipient and create_huddle_with_recipient.
This commit replaces AnalyticsTestCase.create_stream with create_stream_with_recipient and adds the method create_huddle_with_recipient.
2017-01-17 15:54:57 -08:00
Rishi Gupta f375caed46 /activity: Fix URL route for analytics.views.get_realm_activity.
analytics.views.get_realm_activity was taking a 'realm_str', but the URL
route was expecting a 'realm'. Changed the URL route to take a 'realm_str'.
2017-01-12 15:21:06 -08:00
Rishi Gupta 3f2a002c6e analytics/lib/counts.py: Fix one of the COUNT_STATS definitions.
Fixes an error in the definition of
COUNT_STATS['messages_sent_to_stream:is_bot']. The CountStat needs a
group_by argument since it is supposed to group by UserProfile.is_bot.
2017-01-10 20:41:07 -08:00
Rishi Gupta 977f5b9178 analytics/lib/counts.py: Fix error in count_message_type_by_user_query.
This query counts the number of messages each user has sent, subgroup'd by
whether the message was a private_message (PM or sent to a huddle), sent to
a 'private_stream', or sent to a 'public_stream'.

We need to join on zerver_stream to find out whether stream messages were
sent to public streams or private streams, but it needs to be a LEFT JOIN
rather than a JOIN so that we preserve the messages sent to non-streams.
2017-01-10 20:41:07 -08:00
Rishi Gupta 6374596a77 analytics: Add initial fixture for testing views. 2017-01-10 17:48:07 -08:00
Tim Abbott 3f8d4193da lint: Fix % comprehensions being used without a tuple. 2017-01-09 11:45:11 -08:00
Rishi Gupta ac29928d91 Remove domain from analytics management commands. 2017-01-09 11:26:08 -08:00
Rishi Gupta e14f575979 Remove domain from analytics/views.py. 2017-01-09 11:26:08 -08:00
Rishi Gupta 552d626ef2 analytics: Fix FillState.last_modified not being updated.
We were updating FillState with FillState.objects.filter(..).update(..),
which does not update the last_modified field (which has auto_now=True).
The correct incantation is the save() method of the actual FillState
object.
2017-01-08 23:36:34 -08:00
Rishi Gupta 190d320afa analytics: Change CountStat.property from Text to str. 2017-01-08 17:24:51 -08:00
Rishi Gupta a07757c127 analytics/views: Fix query in get_messages_sent_to_realm. 2017-01-08 17:24:51 -08:00
Rishi Gupta f8962d521d analytics: Fix uses of 'interval' in arguments and variable names.
interval refers to a time interval, and frequency refers to something that
semantically means something closer to 'hourly' or 'daily'.

Currently, interval can have values 'hour', 'day', or 'gauge', and frequency
can only have values 'hour' and 'day'.
2017-01-08 17:24:51 -08:00