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| # #######################################
# #######################################
from datetime import datetime, timedelta, timezone
from tzlocal import get_localzone
from typing import Dict
#from collections import defaultdict
import math, random
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
#import requests
import json
from aiohttp import ClientSession
import asyncio
# #######################################
# # via eklok API
# #######################################
BASE_URL = "https://eklok.nl/api"
def darkenRGB(color,factor):
R=hex(int(int(color[1:3],16)/factor))[2:]
G=hex(int(int(color[3:5],16)/factor))[2:]
B=hex(int(int(color[5:7],16)/factor))[2:]
return '#'+R.rjust(2,'0')+G.rjust(2,'0')+B.rjust(2,'0')
def _headers() -> Dict[str, str]:
return {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
"Accept": "application/json, text/javascript, */*; q=0.01",
"Accept-Language": "en-US,en;q=0.5",
"Accept-Encoding": "gzip, deflate, br",
"Cookie": "policyaccepted=true",
}
async def _get_observations(_session: ClientSession):
body = {}
async with _session.get(
f"{BASE_URL}/pricedetail", headers=_headers(), raise_for_status=True
) as response:
return await response.json()
async def main():
async with ClientSession() as session:
data= await _get_observations(session)
await session.close()
return data
local_tz = get_localzone()
#real data
data=json.loads(data.replace("'","\"").replace("False","\"False\"").replace("True","\"True\""))
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
data=loop.run_until_complete(main())
datenow=datetime.now().astimezone(local_tz)
datetoday=datetime(datenow.year,datenow.month,datenow.day,0,0,0).astimezone(local_tz)
items=dict()
storedata=False
firstdate,prev=datenow,datenow
currentcolor,currenttime='',''
for item in data['data']:
item['date']=datetime.strptime(item['date'],'%Y-%m-%dT%H:%M:%S.%fZ').replace(tzinfo=timezone.utc)
if item['date']>=firstdate+timedelta(hours=12):
break
if storedata or item['date']>=datenow+timedelta(hours=-1):
storedata=True
else:
firstdate=item['date']
if datenow>prev and datenow <= item['date']:
currentcolor=item['color']
diff=item['date']-datetoday
currenttime_linear=(diff.days+diff.seconds/60/60/24)*24
currenttime_polar=(15/12-1.99*(diff.days+diff.seconds/60/60/24))*2*math.pi
prev=item['date']
if storedata:
for ii in item:
if ii not in items:
items[ii]=[]
if ii=='color':
items[ii+'_hist']=[]
if ii=='date':
items[ii+'_linear']=[]
items[ii+'_polar']=[]
items[ii].append(item[ii])
if ii=='range':
items[ii][-1]+=8*random.random()
if ii=='color':
d=item['date']-datenow
factor=1-2*(d.days*24+d.seconds/60/60)
factor=1 if factor<=1 else max(1,factor**1.5)
darkenedcolor=darkenRGB(item['color'],factor)
items[ii+'_hist'].append(darkenedcolor)
if ii=='date':
diff=item['date']-datetoday
items[ii+'_linear'].append((diff.days+diff.seconds/60/60/24)*24)
items[ii+'_polar'].append((3/12-1.99*(diff.days+diff.seconds/60/60/24))*2*math.pi)
plt.style.use('dark_background')
fig, ax = plt.subplots()
ax.set_yticks([])
xstart=math.floor(items['date_linear'][0])
ax.set_xlim(xstart,xstart+12)
ax.set_xticks([x for x in range(xstart,xstart+12+1)])
ax.set_xticklabels([x%24 for x in range(xstart,xstart+12+1)])
ax.bar(items['date_linear'], [abs(r)+30 for r in items['range']],color=items['color_hist'],width=12/len(items['range']))
ax.bar([currenttime_linear], [100+100+50],color='#FFFFFF',width=12/len(items['range']))
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.set_rticks([])
ax.set_xticks([r*2*math.pi/12 for r in range(12)])
ax.set_xticklabels(['.' if r%3 else str((3-r)%12+12*(r==3)) for r in range(12)])
ax.grid(False)
ax.bar(items['date_polar'], [abs(r)+30+400 for r in items['range']],color=items['color_hist'],width=12/len(items['range']))
ax.bar(items['date_polar'], [400 for r in items['range']],color='#000000',width=12/len(items['range']))
ax.bar(items['date_polar'], [380 for r in items['range']],color=currentcolor,width=12/len(items['range']))
ax.bar(items['date_polar'], [100 for r in items['range']],color='#000000',width=12/len(items['range']))
ax.bar([currenttime_polar], [100+100+50],color='#FFFFFF',width=12/len(items['range']))
ax.bar([currenttime_polar], [100+100+100],color='#FFFFFF',width=12/len(items['range'])/1.3)
ax.bar([currenttime_polar], [100+100+150],color='#FFFFFF',width=12/len(items['range'])/1.5)
ax.bar([currenttime_polar], [100+100+200],color='#FFFFFF',width=12/len(items['range'])/2)
ax.bar([currenttime_polar], [100+100+300],color='#FFFFFF',width=12/len(items['range'])/3)
ax.bar([currenttime_polar], [100+100+400],color='#FFFFFF',width=12/len(items['range'])/4)
plt.show() |
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Teminste, ik ken geen systeem dat je kunt gebruiken over verschillende groepen.
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