27 lines
1.1 KiB
Python
Executable file
27 lines
1.1 KiB
Python
Executable file
# TODO this should be integrated into dashboard
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# def stats():
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# for jj in iter_datas():
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# # TODO fimezone??
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# # TODOgetinterval on 16 aug -- err it's pretty stupid. I shouldn't count bed exit interval...
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# st = fromts(jj['time_start'])
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# en = fromts(jj['time_end'])
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# tfmt = "%Y-%m-%d %a"
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# tot_mins = 0
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# res = []
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# res.append(f"{st.strftime(tfmt)} -- {en.strftime(tfmt)}")
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# for cls in ['rem', 'light', 'deep']:
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# mins = jj[f'sleep_class_{cls}_duration'] // 60
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# res += [cls, hhmm(mins)]
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# tot_mins += mins
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# res += ["total", hhmm(tot_mins)]
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# print(*res)
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# then I could enable emfit feed and slog feed (pulled from all org notes) and see the correlation? also could pull workouts provider (and wlog) -- actually wlog processing could be moved to timeline too
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# TODO maybe rmssd should only be computed if we have a reasonable chunk of datas
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# TODO X axes: show hours and only two dates
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# TODO 4 is awake, 3 REM, 2 light, 1 deep
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# deviartion beyond 25-75 or 75-25 is bad??
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