HPI/analyse.py
2017-11-14 23:01:00 +00:00

185 lines
5 KiB
Python
Executable file

#!/usr/bin/env python3.6
from kython import *
from backup_config import SLEEPS_FILE, GRAPHS_DIR, PHASES_FILE
from datetime import datetime, date, time
fromtimestamp = datetime.fromtimestamp
import os.path
XID = str # TODO how to shared with backup thing?
Phases = Dict[XID, Any]
phases: Phases
with open(PHASES_FILE, 'r') as fo:
phases = json_load(fo)
class SleepEntry:
def __init__(self, js) -> None:
self.js = js
# TODO @memoize decorator?
@property
def date_(self) -> date:
dates = str(self.js['date'])
return datetime.strptime(dates, "%Y%m%d").date()
@property
def title(self) -> str:
return self.js['title']
@property
def xid(self) -> XID:
return self.js['xid']
def _details(self):
return self.js['details']
@property
def created(self) -> datetime:
return fromtimestamp(self.js['time_created'])
@property
def completed(self) -> datetime:
return fromtimestamp(self.js['time_completed'])
@property
def asleep(self) -> datetime:
return fromtimestamp(self._details()['asleep_time'])
@property
def graph(self) -> str:
return os.path.join(GRAPHS_DIR, self.xid + ".png")
@property
def phases(self) -> List[datetime]:
return [fromtimestamp(i['time']) for i in phases[self.xid]]
def __str__(self) -> str:
return f"{self.date_.strftime('%a %d %b')} {self.title}"
def __repr__(self) -> str:
return str(self)
def load_sleeps() -> List[SleepEntry]:
with open(SLEEPS_FILE, 'r') as fo:
sleeps = json_load(fo)
return [SleepEntry(js) for js in sleeps]
import numpy as np # type: ignore
import matplotlib.pyplot as plt # type: ignore
# pip install imageio
from imageio import imread # type: ignore
from scipy.misc import imresize # type: ignore
def hhmm(time: datetime):
return time.strftime("%H:%M")
# def xpos(time: datetime) -> float:
# tick = span / width
# fromstart = time - sleep.created
# return fromstart / tick
import matplotlib.dates as mdates # type: ignore
from matplotlib.figure import Figure # type: ignore
from matplotlib.axes import Axes # type: ignore
from matplotlib.ticker import MultipleLocator, FixedLocator # type: ignore
def plot_one(sleep: SleepEntry, fig: Figure, axes: Axes, xlims=None, showtext=True):
span = sleep.completed - sleep.created
print(f"{sleep.xid} span: {span}")
img = imread(sleep.graph)
# all of them are 300x300 images apparently
# span for image
xspan = [sleep.created, sleep.completed]
xspan = [mdates.date2num(i) for i in xspan]
if xlims is None:
tt = sleep.created
hour = tt.hour
# TODO maybe assert that hour is somewhere between 20 and 8 or something
start: datetime
starttime = time(23, 00)
if hour >= 20:
# went to bed before midnight
start = datetime.combine(tt.date(), starttime)
elif hour <= 8:
# went to bed after midnight
start = datetime.combine(tt.date() - timedelta(days=1), starttime)
else:
print("wtf??? weird time for sleep...")
# choosing at random
start = datetime.combine(tt.date(), starttime)
end = start + timedelta(hours=10)
xlims = [start, end]
# axes.figure(figsize=(10, 5))
axes.set_xlim(xlims)
hhmm_fmt = mdates.DateFormatter('%H:%M')
axes.xaxis.set_major_formatter(hhmm_fmt)
ticks = sleep.phases if showtext else []
axes.xaxis.set_ticks(ticks)
axes.yaxis.set_ticks([])
axes.tick_params(
axis='both',
which='major',
length=0,
labelsize=7,
rotation=30,
pad=-14, # err... hacky
)
ylims = [0, 50]
axes.set_ylim(ylims)
axes.imshow(
img,
zorder=0,
extent=[
xspan[0], xspan[1],
ylims[0], ylims[1],
],
aspect='auto',
)
# axes.set_title(str(sleep))
# axes.title.set_size(10)
if showtext:
axes.text(xlims[1] - timedelta(hours=1.5), 20, str(sleep),)
# plt.text(sleep.asleep(), 0, hhmm(sleep.asleep()))
sleeps = load_sleeps()
sleeps = [s for s in sleeps if os.path.lexists(s.graph)]
sleeps_count = 290 # len(sleeps) # apparently MPL fails at 298 with outofmemory or something
sleeps = sleeps[:sleeps_count]
fig: Figure = plt.figure(figsize=(15, sleeps_count * 1))
def predicate(sleep: SleepEntry):
"""
Filter for comparing similar sleep sesssions
"""
start = sleep.created.time()
end = sleep.completed.time()
if (time(23, 0) <= start <= time(23, 30)) and (time(5, 30) <= end <= time(6, 30)):
return True
return False
# sleeps = lfilter(predicate, sleeps)
axarr = fig.subplots(nrows=len(sleeps))
for i, (sleep, axes) in enumerate(zip(sleeps, axarr)):
plot_one(sleep, fig, axes, showtext=False)
plt.tight_layout()
plt.subplots_adjust(hspace=0.0)
# er... this saves with a different aspect ratio for some reason.
# tap 'ctrl-s' on mpl plot window to save..
# plt.savefig('res.png', asp)
plt.show()