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@morishin
Last active September 27, 2016 15:34
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import hashlib
import json
import os
import sqlite3
import time
import urllib.request
import pytz
import matplotlib.dates as dt
import matplotlib.pylab as plt
import numpy as np
import pandas as pd
import pandas.io.sql as psql
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.finance import candlestick_ohlc
from matplotlib.ticker import MultipleLocator
DB_FILENAME = 'data.db'
TICKER_TABLE_NAME = 'ticker'
IMAGE_TABLE_NAME = 'images'
IMAGE_DIR = 'images'
def setup_database(cursor):
try:
cursor.execute('CREATE TABLE IF NOT EXISTS {0} (epoch_time INT, bid INT, ask INT)'
.format(TICKER_TABLE_NAME))
cursor.execute('CREATE TABLE IF NOT EXISTS {0} (epoch_time INT, five_min CHAR(32), \
fifteen_min CHAR(32), one_hour CHAR(32), one_day CHAR(32))'
.format(IMAGE_TABLE_NAME))
except sqlite3.Error as error:
print(error.msg)
exit(1)
def make_absolute_path(relative_path):
return '{0}/{1}'.format(os.path.dirname(os.path.abspath(__file__)), relative_path)
if __name__ == '__main__':
connect = sqlite3.connect(make_absolute_path(DB_FILENAME))
cursor = connect.cursor()
setup_database(cursor)
with urllib.request.urlopen('https://coincheck.jp/api/ticker') as response:
ticker = json.loads(response.read().decode('utf-8'))
epoch_time = ticker['timestamp']
bid = ticker['bid']
ask = ticker['ask']
cursor.execute('INSERT INTO {0} (epoch_time, bid, ask) VALUES ({1}, {2}, {3})'
.format(TICKER_TABLE_NAME, epoch_time, bid, ask))
connect.commit()
image_names = []
for scale_min, scale_name in [(5, '5min'), (15, '15min'), (60, '1hour'), (60 * 24, '1day')]:
current_time = (int)(time.time())
time_range_sec = current_time - scale_min * 60 * 150
df = psql.read_sql('SELECT epoch_time, bid FROM {0} WHERE epoch_time > {1}'
.format(TICKER_TABLE_NAME, time_range_sec), connect)
df.epoch_time = pd.to_datetime(df.epoch_time, unit='s')
df.set_index('epoch_time', inplace=True)
ohlc = df.bid.resample('{0}Min'.format(scale_min), how='ohlc')
ohlc['date_num'] = ohlc.index.map(dt.date2num)
fig, ax = plt.subplots()
fig.set_size_inches(12, 4)
fig.patch.set_facecolor('white')
plt.subplots_adjust(left=0.02, top=0.9, right=0.85, bottom=0.15)
ax.set_title(scale_name)
timezone_name = os.environ.get('TIME_ZONE', 'UTC')
timezone = pytz.timezone(timezone_name)
ax.xaxis.set_minor_formatter(dt.DateFormatter('%H:%M', timezone))
ax.xaxis.set_minor_locator(dt.MinuteLocator(interval=scale_min*10))
ax.xaxis.set_major_formatter(dt.DateFormatter('\n%m/%d', timezone))
ax.xaxis.set_major_locator(dt.DayLocator(interval=1))
ax.yaxis.set_ticks_position('right')
candlestick_ohlc(ax, ohlc[['date_num', 'open', 'high', 'low', 'close']].values,
width=1.0/24/60*scale_min, colorup='g', alpha=0.4)
digest = hashlib.md5(str(current_time + scale_min).encode()).hexdigest()
image_names.append(digest)
fig.savefig(make_absolute_path(IMAGE_DIR + '/' + digest + '.png'))
timestamp = (int)(time.time())
cursor.execute('INSERT INTO {0} (epoch_time, five_min, fifteen_min, one_hour, one_day) \
VALUES (?, ?, ?, ?, ?)'
.format(IMAGE_TABLE_NAME), tuple([timestamp] + image_names))
connect.commit()
one_week_ago = (int)(time.time()) - 60 * 60 * 24 * 7
cursor.execute('SELECT five_min, fifteen_min, one_hour, one_day FROM {0} WHERE epoch_time < {1}'
.format(IMAGE_TABLE_NAME, one_week_ago))
outdated_image_names = [item for sublist in cursor.fetchall() for item in sublist]
for image_name in outdated_image_names:
try:
os.remove(make_absolute_path(IMAGE_DIR + '/' + image_name + '.png'))
except OSError as error:
print("Failed to remove image files: {0}".format(error))
cursor.close()
connect.close()
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