# Using python 2.7
import sys
import data_tools as dt
from os.path import exists
if len(sys.argv) == 4:
if exists("./" + sys.argv[2]):
print "csv file " + sys.argv[
2] + " exists, either delete it or use add_to_csv.py please"
exit()
file = open(sys.argv[2], "w")
file.write(
"InputTransactionIndex,OutputTransactionIndex,Value,BackFlowProbability\r\n"
)
filename_log = sys.argv[2].split('.')[0]
filename_log = filename_log + '.log'
log = open(filename_log, "w")
log.write("Blocks logged in csv\r\n")
dt.build_entire_csv(sys.argv[1], sys.argv[2], int(sys.argv[3]))
else:
print(
'usage: python2.7, make_csv.py, start block hash, *.csv, number of blocks'
)
from os.path import exists
import requests as req
import time
if len(sys.argv) == 3:
if not exists("./" + sys.argv[1]):
print "csv file " + sys.argv[
1] + " doesn't exist, please use an existing file or make_csv.py"
exit()
print(
'getting last block collected and determining next block to be collected (prev) . . .'
)
filename_log = sys.argv[1].split('.')[0]
filename_log = filename_log + '.log'
with open(filename_log, "r") as f:
for line in f:
pass
"".join(line.split())
print line
r = req.get("https://blockchain.info/rawblock/" + line)
# print r.content
block = json.loads(r.content)
block_hash = block["prev_block"]
print('starting to add at block ' + block_hash +
' but first we wait . . .')
time.sleep(10)
f.close()
dt.build_entire_csv(block_hash, sys.argv[1], int(sys.argv[2]))
else:
print('usage: python2.7, add_to_csv.py, *.csv, number of blocks to add')
# Using python 2.7
import data_tools as dt
import graph_tools as gt
# initial block hash
block_hash = "0000000000000000002ba18935b6e5e2945a1558b24633ff520045995c736f92"
# generate CSV data for three blocks up to the above hash
dt.build_entire_csv(block_hash, "data.csv", num_blocks=3)
# initialize transaction graph object
#G = gt.tx_graph()
# build graph from CSV data
#G.read_data("data.csv")
# save graph object to disk
#gt.save(G, "graph")
# test gt.load by clearing the variable G
# and then loading it back from disk
#G = None
#G = gt.load("graph")
# print some graph attributes
#print "order: ", G.order()
#print "max in-degree: ", max(G.in_degree().values())
#print "max out-degree: ", max(G.out_degree().values())
#import networkx as nx
#print "longest path length: ", nx.dag_longest_path_length(G)