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Download moves data using moves-export to
moves.json
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Run
python moves_tt.py
The python script will output a list of places sorted by the time you've spent there.
For example, I spend some time at home, some at work (Sync Labs), and some more time at Cafes (West End Deli)
Places: - Home (578.90h) - Sync Labs (137.74h) - West End Deli (103.19h) - Cranked (15.73h) ...
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Run the python script again with the name of your work:
python moves_tt.py "Sync Labs"
This generates an ascii timesheet for that location. For example, on Tuesday, week 5 of 2015 I was at Sync Labs from 9:12am to 6:40pm = 9.5 hours.
-------------------- Week 5 -------------------- Tuesday 2015/01/27 09:12:32 - 18:40:42 = 9.5 Wednesday 2015/01/28 09:17:04 - 17:29:00 = 8.2 Friday 2015/01/30 09:14:38 - 18:15:48 = 9.0 ...
- Detect and remove duplicate data
- Show lunch breaks
- Turn into web dashboard with oauth