get sleep for each night

This commit is contained in:
Dima Gerasimov 2019-03-29 22:16:12 +00:00
parent 5658327883
commit e11cef6f91
2 changed files with 48 additions and 14 deletions

View file

@ -2,12 +2,17 @@ from kython import json_load
from datetime import datetime
from os.path import join
from functools import lru_cache
from datetime import timedelta, datetime
import logging
from datetime import timedelta, datetime, date
from typing import List, Dict, Iterator, NamedTuple
from collections import OrderedDict as odict
fromts = datetime.fromtimestamp
def get_logger():
return logging.getLogger('emfit-provider')
def hhmm(minutes):
return '{:02d}:{:02d}'.format(*divmod(minutes, 60))
@ -16,14 +21,12 @@ PATH = "/L/backups/emfit/"
EXCLUDED = [
'***REMOVED***', # pretty weird, detected sleep and HR (!) during the day when I was at work
'***REMOVED***',
'***REMOVED***', # some weird sleep during the day?
]
AWAKE = 4
class Point(NamedTuple):
ts: int
pulse: float
class Emfit:
def __init__(self, sid: str, jj):
self.sid = sid
@ -37,6 +40,7 @@ class Emfit:
def hrv_evening(self):
return self.jj['hrv_rmssd_evening']
# ok, I guess that's reasonable way of defining sleep date
@property
def date(self):
return self.end.date()
@ -59,6 +63,15 @@ class Emfit:
def epochs(self):
return self.jj['sleep_epoch_datapoints']
@property
def epoch_series(self):
tss = []
eps = []
for [ts, e] in self.epochs:
tss.append(ts)
eps.append(e)
return tss, eps
@property # type: ignore
@lru_cache()
def sleep_start(self) -> datetime:
@ -98,6 +111,10 @@ class Emfit:
def hrv_hf(self):
return self.jj['hrv_hf']
@property
def recovery(self):
return self.hrv_morning - self.hrv_evening
@property
def summary(self):
return f"""in bed for {hhmm(self.time_in_bed)}
@ -105,7 +122,7 @@ emfit time: {hhmm(self.sleep_minutes_emfit)}; covered: {self.sleep_hr_coverage:.
hrv morning: {self.hrv_morning:.0f}
hrv evening: {self.hrv_evening:.0f}
avg hr: {self.measured_hr_avg:.0f}
recovery: {self.hrv_morning - self.hrv_evening:3.0f}
recovery: {self.recovery:3.0f}
{self.hrv_lf}/{self.hrv_hf}"""
@property
@ -178,18 +195,22 @@ recovery: {self.hrv_morning - self.hrv_evening:3.0f}
# act in csv.. so it must be activity? wonder how is it measured.
# but I guess makes sense. yeah, "measured_activity_avg": 595, about that
# makes even more sense given tossturn datapoints only have timestamp
yield Point(ts=ts, pulse=pulse)
yield ts, pulse
@property
def sleep_hr(self):
tss = []
res = []
for p in self.iter_points():
if self.sleep_start < fromts(p.ts) < self.sleep_end:
tss.append(p.ts)
res.append(p.pulse)
for ts, pulse in self.iter_points():
if self.sleep_start < fromts(ts) < self.sleep_end:
tss.append(ts)
res.append(pulse)
return tss, res
@property
def sleep_hr_series(self):
return self.sleep_hr
@property
def hrv(self):
tss = []
@ -234,6 +255,18 @@ def iter_datas() -> Iterator[Emfit]:
def get_datas() -> List[Emfit]:
return list(sorted(list(iter_datas()), key=lambda e: e.start))
# TODO move away old entries if there is a diff??
from kython import group_by_key
def by_night() -> Dict[date, Emfit]:
logger = get_logger()
res: Dict[date, Emfit] = odict()
# TODO shit. I need some sort of interrupted sleep detection?
for dd, sleeps in group_by_key(get_datas(), key=lambda s: s.date).items():
if len(sleeps) > 1:
logger.warning("multiple sleeps per night, not handled yet: %s", sleeps)
continue
[s] = sleeps
res[s.date] = s
return res

View file

@ -91,6 +91,7 @@ def plot_recovery_vs_hr_percentage():
# TODO ah. it's only last segment?
# ok, handled in dashboard now
def plot_hr():
jj = get_datas()[-1]
tss, uu = jj.sleep_hr