HPI/analyse.py
2017-11-13 23:22:31 +00:00

80 lines
1.9 KiB
Python
Executable file

#!/usr/bin/env python3.6
from kython import *
from backup_config import SLEEPS_FILE, GRAPHS_DIR
from datetime import datetime
from datetime import date
XID = str # TODO how to shared with backup thing?
class SleepEntry:
def __init__(self, js) -> None:
self.js = js
# TODO @memoize decorator?
def date_(self) -> date:
dates = str(self.js['date'])
return datetime.strptime(dates, "%Y%m%d").date()
def title(self) -> str:
return self.js['title']
def xid(self) -> XID:
return self.js['xid']
def _details(self):
return self.js['details']
# TODO take timezones into account?
def created(self) -> datetime:
return datetime.fromtimestamp(self.js['time_created'])
def completed(self) -> datetime:
return datetime.fromtimestamp(self.js['time_completed'])
def graph(self) -> str:
return os.path.join(GRAPHS_DIR, self.xid() + ".png")
def __str__(self) -> str:
return f"{self.date_()} {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]
sleeps = load_sleeps()
# TODO use map?
sleep = sleeps[0]
# pprint(sleeps[:2])
span = sleep.completed() - sleep.created()
print(f"span: {span}")
import numpy as np # type: ignore
import matplotlib.pyplot as plt # type: ignore
# pip install imageio
from imageio import imread # type: ignore
img = imread(sleep.graph())
# all of them are 300x300 images apparently
(a, b, _) = img.shape
# print(img.shape)
# print(img.size)
print(a)
print(b)
np.random.seed(0)
x = np.random.uniform(0.0, a, 100)
y = np.random.uniform(0.0, b, 100)
plt.scatter(x,y,zorder=1)
plt.imshow(img,zorder=0)
plt.title(str(sleep))
plt.text(0, 0, str(sleep.created().time()))
plt.text(300, 0, str(sleep.completed().time()))
plt.show()