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gostco.in/scripts/plot.py

108 lines
3.2 KiB
Python
Executable File

#!/usr/bin/python3
# requirements: sudo pip3 install matplotlib
import matplotlib;matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from datetime import datetime, timedelta
import math
import json
import urllib
RUR_CONFIG = {
'plot_title': 'updated at {}'.format(datetime.utcnow().strftime('%Y-%m-%d %H:%M')),
'y_axis_name': 'RUR price',
'png_thumb_filename': '../img/GSTRUR_graph_thumb.png',
'png_filename': '../img/GSTRUR_graph.png',
'history_url': 'http://nvspc.i2p/api/dummy/gettradelog?e=5&c=500&bt=2',
}
BTC_CONFIG = {
'plot_title': 'updated at {}'.format(datetime.utcnow().strftime('%Y-%m-%d %H:%M')),
'y_axis_name': 'BTC price',
'png_thumb_filename': '../img/GSTBTC_graph_thumb.png',
'png_filename': '../img/GSTBTC_graph.png',
'history_url': 'http://nvspc.i2p/api/dummy/gettradelog?e=5&c=500&bt=3',
}
THUMB_DPI = 40 # thumbnail DPI
DPI = 120 # affects the size of output image
PROXY_URL = 'http://localhost:4444'
TIMEOUT = 30
def get_data_from_nvspc(url):
proxy_handler = urllib.request.ProxyHandler({
'http': PROXY_URL
})
opener = urllib.request.build_opener(proxy_handler)
try:
response = opener.open(url, None, TIMEOUT)
raw_result = response.read().decode()
data = reversed(json.loads(raw_result)['data']['l'])
return data
except Exception as ex:
print(ex)
exit(1)
def adapt_data_for_plot(data):
oneline = {'x': [], 'y': [], }
secondline = {'x': [], 'y': [], }
dates = []
for i, chunk in enumerate(data):
spl_chunk = chunk['d'].split('|')
date = spl_chunk[0]
price_buy = spl_chunk[1]
price_diff = spl_chunk[2]
price_sell = float(price_buy) + float(price_diff)
date = datetime.strptime(date, '%y%m%d%H%M')
oneline['x'].append(i)
oneline['y'].append(price_sell)
secondline['x'].append(i)
secondline['y'].append(price_buy)
dates.append(date)
return oneline, secondline, dates
def draw_plot(config, oneline, secondline, dates):
fig, ax = plt.subplots()
ax.plot(oneline['x'], oneline['y'])
ax.plot(secondline['x'], secondline['y'])
N = len(dates)
ind = np.arange(N)
def format_date(x, pos=None):
thisind = np.clip(int(x + 0.5), 0, N - 1)
if thisind > N - 1: thisind = N - 1
return dates[thisind].strftime('%Y-%m-%d')
ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
fig.autofmt_xdate()
plt.ylabel(config['y_axis_name'])
plt.title(config['plot_title'])
plt.grid(True)
plt.savefig(config['png_filename'],
bbox_inches='tight',
dpi=DPI,
transparent=True)
plt.savefig(config['png_thumb_filename'],
bbox_inches='tight',
dpi=THUMB_DPI,
transparent=True)
def generate_graphic(config):
data = get_data_from_nvspc(config['history_url'])
oneline, secondline, dates = adapt_data_for_plot(data)
draw_plot(config, oneline, secondline, dates)
def generate_graphics():
generate_graphic(RUR_CONFIG)
generate_graphic(BTC_CONFIG)
if __name__ == "__main__":
generate_graphics()