def get_latest_blocks():
p = RawProxy()
blocks_to_take = 10
if request.args.get('count'):
blocks_to_take = int(blocks_to_take)
blocks_count = p.getblockcount()
block_heights = list(range(blocks_count - blocks_to_take, blocks_count))
block_hashes = list(map(p.getblockhash, block_heights))
block_hashes.reverse() # So latest hashes would go first
return jsonify(block_hashes)
#!/usr/bin/env python3
import codecs
from bitcoin.rpc import RawProxy
if __name__ == '__main__':
conf = input('Please enter path to the configuration file: ')
proxy = RawProxy(btc_conf_file=conf)
numblocks = proxy.getblockcount() + 1
fp = codecs.open('out.csv', 'w', 'utf-8')
for idx in range(numblocks):
blockinfo = proxy.getblock(proxy.getblockhash(idx))
fp.write(','.join(
map(str, [
blockinfo['height'],
blockinfo['time'],
blockinfo['difficulty'],
])) + '\n')
fp.close()
# End of File
from bitcoin.rpc import RawProxy
p = RawProxy()
lastblockheight = p.getblockcount()
total_value = 0
# Skip the block of height 0 since the genesis block coinbase is not considered
# an ordinary transaction and cannot be retrieved
for blockheight in range(1, lastblockheight + 1):
blockhash = p.getblockhash(blockheight)
block = p.getblock(blockhash)
transactions = block['tx']
block_value = 0
for txid in transactions:
tx_value = 0
raw_tx = p.getrawtransaction(txid)
decoded_tx = p.decoderawtransaction(raw_tx)
for output in decoded_tx['vout']:
tx_value += output['value']
block_value += tx_value
total_value += block_value
print(f"blockheight = {blockheight}, total_value = {total_value}")
print("Total value of BTC moved in blockchain: ", total_value)
# 파이썬 실습 파일: 7-4.MiningTimeDistribution.py
# RPC 패키지 : https://github.com/petertodd/python-bitcoinlib
from bitcoin.rpc import RawProxy
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Bitcoin Core에 접속한다.
p = RawProxy()
# 블록체인의 블록 개수을 읽어온다
n = p.getblockcount()
# 최근 1000개 블록의 헤더를 읽어서 생성 시간을 조회한다.
header = []
for i in range(n - 999, n + 1):
bHash = p.getblockhash(i)
hdr = p.getblockheader(bHash)
height = hdr['height']
btime = hdr['time']
bhash = hdr['hash']
header.append([height, btime, bhash])
df = pd.DataFrame(header, columns=['Height', 'Time', 'Hash'])
sdf = df.sort_values('Time')
sdf = sdf.reset_index()
print(df.to_string())
print('총 %d 개 블록 헤더를 읽어왔습니다.' % len(df))
# 블록 생성 소요 시간 분포 관찰
mtime = sdf['Time'].diff().values
