Simple analyzer and aggregator for a simple time log
Reads a text file containing one iso-8601 timestamp per line and normalizes them to quarter-hours. These quarter-hours are treated as "time spent", which gets aggregated into stats by day, week, month and weekday, and printed.
This is currently pretty much a one-off script with some added comments, but has already proved very useful in tracking time spent working, and there's potential for more.
- Have a cron job or something else write the current date into a file every quarter hour:
date --iso-8601=seconds >> log.txt- Run the script in the log.txt directory to see the aggregate output:
$ ./timelog.py
Months
{'2016-02': 35.5}
Weeks
{'2016 W06': 0.5, '2016 W07': 35.0}
Days
{'2016-02-13 Sat': 0.5,
'2016-02-15 Mon': 6.0,
'2016-02-16 Tue': 8.25,
'2016-02-17 Wed': 10.5,
'2016-02-18 Thu': 10.25}
Days of Week
{'1 Mon': {'avg': 6.0, 'sum': 6.0},
'2 Tue': {'avg': 8.25, 'sum': 8.25},
'3 Wed': {'avg': 10.5, 'sum': 10.5},
'4 Thu': {'avg': 10.25, 'sum': 10.25},
'6 Sat': {'avg': 0.5, 'sum': 0.5}}
Longest session
2016-02-17 10:30:00+01:00 to 2016-02-17 20:45:00+01:00 (10:15:00)Copyright 2017 Tilman Boerner
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