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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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