def update(self):
""" Gets the latest data from blockchain.info. """
from blockchain import statistics, exchangerates
self.stats = statistics.get()
self.ticker = exchangerates.get_ticker()
def update(self):
""" Gets the latest data from blockchain.info. """
from blockchain import statistics, exchangerates
self.stats = statistics.get()
self.ticker = exchangerates.get_ticker()
def main():
s = stats.get()
print("Total blocks", s.total_blocks)
print("# of Tx in last 24 hours", s.number_of_transactions)
print("Total BTC sent last 24 hours", "{:,.2f}".format(satoshi_to_btc(s.total_btc_sent)))
print("Miners revenue USD last 24 hours", "{:,.2f}".format(s.miners_revenue_usd))
print("Hash rate", s.hash_rate)
print("Difficulty", s.difficulty)
def main():
s = statistics.get()
print("Trade Volume:", s.trade_volume_btc)
print("# of Tx last 24 hours: ", s.number_of_transactions)
print("Total BTC Sent last 24 hours: ",
'{:,.2f}'.format(satoshis_to_btc(s.total_btc_sent)))
print("Miners Revenue USD last 24 hours",
'${:,.2f}'.format(s.miners_revenue_usd))
def main():
GPIO.setmode(GPIO.BCM)
GPIO.setup(SW1, GPIO.IN)
GPIO.setup(SW2, GPIO.IN)
GPIO.setup(SW3, GPIO.IN)
GPIO.setup(SW4, GPIO.IN)
papirus = Papirus()
write_text(papirus, defaultText, SIZE)
while True:
if GPIO.input(SW1) == False:
stats = statistics.get()
btcBlockHeight = stats.total_blocks
# The blockchain api returns bits, need to convert to kB
btcBlockSizeCleaned = (stats.blocks_size) / 125000
write_text(
papirus,
"%s --BITCOIN--\nBlockheight:%d \nBlocksize : %d kB" %
(todayCleaned(), btcBlockHeight, btcBlockSizeCleaned), SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW2) == False:
responseBlockr = urllib2.urlopen(
"http://ltc.blockr.io/api/v1/coin/info")
htmlResponse = simplejson.load(responseBlockr)
ltcBlockHeight = int(htmlResponse["data"]["last_block"]["nb"])
write_text(
papirus, "%s --LITECOIN--\nBlockheight:%d" %
(todayCleaned(), ltcBlockHeight), SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW3) == False:
write_text(papirus, "Three", SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW4) == False:
write_text(papirus, "Shutdown Begun \nCheers!", SIZE)
time.sleep(2)
write_text(papirus, "", SIZE)
shutdown()
#time.sleep(10)
#write_text(papirus, defaultText, SIZE)
time.sleep(0.1)
def get_stats(opt: int):
stats = statistics.get()
if opt == 1:
logging.info('{0}'.format(stats.total_btc_sent))
logging.info(str_task.format(threading.current_thread()))
elif opt == 2:
logging.info('{0}'.format(stats.number_of_transactions))
logging.info(str_task.format(threading.current_thread()))
elif opt == 3:
logging.info('{0}'.format(stats.btc_mined))
logging.info(str_task.format(threading.current_thread()))
def main():
GPIO.setmode(GPIO.BCM)
GPIO.setup(SW1, GPIO.IN)
GPIO.setup(SW2, GPIO.IN)
GPIO.setup(SW3, GPIO.IN)
GPIO.setup(SW4, GPIO.IN)
papirus = Papirus()
write_text(papirus, defaultText, SIZE)
while True:
if GPIO.input(SW1) == False:
stats = statistics.get()
btcBlockHeight = stats.total_blocks
# The blockchain api returns bits, need to convert to kB
btcBlockSizeCleaned = (stats.blocks_size)/125000
write_text(papirus, "%s --BITCOIN--\nBlockheight:%d \nBlocksize : %d kB" % (todayCleaned(), btcBlockHeight,btcBlockSizeCleaned), SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW2) == False:
responseBlockr = urllib2.urlopen("http://ltc.blockr.io/api/v1/coin/info")
htmlResponse = simplejson.load(responseBlockr)
#print(htmlResponse["data"]["last_block"]["nb"])
ltcBlockHeight = int(htmlResponse["data"]["last_block"]["nb"])
dayDate = todayCleaned()
write_text(papirus,"%s --LITECOIN--\nBlockheight:%d" % (todayCleaned(), ltcBlockHeight), SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW3) == False:
write_text(papirus, "Three", SIZE)
time.sleep(10)
write_text(papirus, defaultText, SIZE)
if GPIO.input(SW4) == False:
write_text(papirus, "Shutdown Begun \nCheers!", SIZE)
shutdown()
#time.sleep(10)
#write_text(papirus, defaultText, SIZE)
time.sleep(0.1)
def gettoday(self):
df_names = {
0: 'market_price',
1: 'avg_block_size',
2: 'blocks_size',
3: 'cost_per_txn',
4: 'difficulty',
5: 'txn_vol',
6: 'hash_rate',
7: 'market_cap',
8: 'confirm_time',
9: 'miners_revenue',
10: 'n_transaction',
11: 'n_transaction_exclude_popular',
12: 'txn_per_block',
13: 'output_vol',
14: 'total_bitcoins',
15: 'trade_volume',
16: 'txn_fees'
}
stats = statistics.get()
dataframes = [
stats.market_price_usd,
self.s_avg_block_size()['values'][-1]['y'], stats.blocks_size,
self.s_cost_per_txn()['values'][-1]['y'], stats.difficulty,
self.s_txn_vol()['values'][-1]['y'], stats.hash_rate,
self.s_market_cap()['values'][-1]['y'],
self.s_confirm_time()['values'][-1]['y'], stats.miners_revenue_usd,
stats.number_of_transactions,
self.s_n_transaction_exclude_popular()['values'][-1]['y'],
self.s_txn_per_block()['values'][-1]['y'],
self.s_output_vol()['values'][-1]['y'], stats.total_btc,
stats.trade_volume_usd, stats.total_fees_btc
]
toreturn = pd.DataFrame(dataframes)
toreturn = toreturn.transpose()
toreturn = toreturn.rename(columns=df_names)
print(len(toreturn))
toreturn = toreturn.to_dict('records')
return toreturn
def update(self):
"""Get the latest data from blockchain.com."""
self.stats = statistics.get()
self.ticker = exchangerates.get_ticker()
from blockchain import statistics
stats = statistics.get()
print("Bitcoin Trade Volume: %s" % stats.trade_volume_btc)
print("Bitcoin mined: %s\n" % stats.btc_mined)
print(stats.market_price_usd)
from flask import Flask, render_template, request, redirect, url_for, Blueprint
from blockchain import exchangerates, statistics
import urllib2, json, requests, datetime
import pandas as pd
import numpy as np
import scipy.stats
chart = Blueprint('chart',__name__)
#For statistics
stats = statistics.get()
actualtimelist = []
actualtimelist_rev = []
ticker = exchangerates.get_ticker()
#Chart section
jsonfilein = 'https://blockchain.info/charts/market-price?showDataPoints=false×pan=&show_header=true&daysAverageString=1&scale=0&format=json&address='
r = requests.get(jsonfilein)
j = r.json()
entries = j['values']
def ccylists():
return ticker
def ccyprice():
for k in ticker:
yield ticker[k].p15min
def ccysymbol():
for s in ticker:
yield ticker[s].symbol
def get_stats():
stats = statistics.get(api_code=app.api_code)
return stats
def statistics(self):
stats = statistics.get()
return stats