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-online_sessions.py
-==================
-
-View/visualize the amount of time people spend online.
-
-Usage
------
-
-Run from the top-level directory using `python -m`:
-
-```
-> python -m bin.online_sessions -h
-usage: online_sessions.py [-h] [-g {user,date,weekday,hour}]
-                          [-i {csv,log,null}] [-o {csv,json,plot}]
-                          [-a TIME_FROM] [-b TIME_TO]
-                          [input] [output]
-```
-
-This script additionally requires [matplotlib] to be installed.
-
-Analyze the database produced by [track_status.py] and calculate the total
-amount of time people spent online.
-For example (assuming the database in "db.csv" was generated by
-[track_status.py] before):
-
-```
-> python -m bin.online_sessions db.csv
-89497105,John,Smith,john.smith,0:12:31
-3698577,Jane,Smith,jane.smith,1:34:46
-```
-
-In the example above, "John Smith" and "Jane Smith" spent approx. 13 and 95
-minutes online respectively.
-
-The output format is CSV (comma-separated values) by default.
-You can also get a JSON document:
-
-```
-> python -m bin.online_sessions --output-format json db.csv
-[
-   {
-      "uid": 89497105,
-      "first_name": "John",
-      "last_name": "Smith",
-      "domain": "john.smith",
-      "duration": "0:12:31"
-   },
-   {
-      "uid": 3698577,
-      "first_name": "Jane",
-      "last_name": "Smith",
-      "domain": "jane.smith",
-      "duration": "1:34:46"
-   }
-]
-```
-
-The durations are calculated on a per-user basis by default.
-You can change that by supplying either `date` (to group by dates), `weekday`
-(to group by weekdays) or `hour` (to group by day hours) as the `--group-by`
-parameter value.
-For example (assuming that both Jane and Joe spent their time online on Friday,
-June 17, 2016).
-
-```
-> python -m bin.online_sessions --output-format json --group-by date db.csv
-[
-   {
-      "date": "2016-06-17",
-      "duration": "1:47:17"
-   }
-]
-```
-
-```
-> python -m bin.online_sessions --output-format csv --group-by weekday db.csv
-Monday,0:00:00
-Tuesday,0:00:00
-Wednesday,0:00:00
-Thursday,0:00:00
-Friday,1:47:17
-Saturday,0:00:00
-Sunday,0:00:00
-```
-
-```
-> python -m bin.online_sessions --group-by hour db.csv
-0:00:00,0:00:00
-1:00:00,0:00:00
-2:00:00,0:00:00
-3:00:00,0:00:00
-4:00:00,0:03:56
-5:00:00,0:14:14
-6:00:00,0:29:30
-7:00:00,0:31:20
-8:00:00,0:12:04
-9:00:00,0:00:00
-10:00:00,0:00:00
-11:00:00,0:23:14
-12:00:00,0:06:00
-13:00:00,0:46:19
-14:00:00,0:00:00
-15:00:00,0:00:00
-16:00:00,0:00:00
-17:00:00,0:00:00
-18:00:00,0:00:00
-19:00:00,0:00:00
-20:00:00,0:00:00
-21:00:00,0:00:00
-22:00:00,0:00:00
-23:00:00,0:00:00
-```
-
-In my opinion, the script's most useful feature is its ability to easily create
-plots that represent this data (like in the examples above).
-To produce a plot, pass `plot` as the `--output-format` parameter value and add
-a file path to write the image to.
-
-```
-> python -m bin.online_sessions --output-format plot db.csv user.png
-```
-
-![user.png]
-
-```
-> python -m bin.online_sessions --output-format plot --group-by date db.csv date.png
-```
-
-![date.png]
-
-```
-> python -m bin.online_sessions --output-format plot --group-by weekday db.csv weekday.png
-```
-
-![weekday.png]
-
-```
-> python -m bin.online_sessions --output-format plot --group-by hour db.csv hour.png
-```
-
-![hour.png]
-
-You can limit the scope of the database by supplying a time range.
-Only online sessions that overlap with this range shall then be processed.
-Set the range by specifying both or one of the `--from` and `--to` parameters.
-The values must be in the `%Y-%m-%dT%H:%M:%SZ` format (a subset of ISO 8601).
-
-All dates and times are in UTC.
-
-[matplotlib]: http://matplotlib.org/
-[track_status.py]: track_status.md
-
-[user.png]: images/user.png
-[date.png]: images/date.png
-[weekday.png]: images/weekday.png
-[hour.png]: images/hour.png
-
-Known issues
-------------
-
-* When people go online using the web version and don't visit other pages over
-time (for example, just listening to music), they appear offline.
-Hence the 0:00:00 durations you might sometimes encounter.
-This might also happen using other clients.
-
-See also
---------
-
-* [License]
-
-[License]: ../README.md#license