86 lines
3.8 KiB
Python
86 lines
3.8 KiB
Python
from slickrpc.rpc import Proxy
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import csv
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import progressbar
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rpc_connection = Proxy("http://RPC_USER:RPC_PASSWORD@127.0.0.1:8232")
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cur_height = rpc_connection.getblockcount()
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pbar = progressbar.ProgressBar(max_value=cur_height)
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# Genesis
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cur_block_hash = '00040fe8ec8471911baa1db1266ea15dd06b4a8a5c453883c000b031973dce08'
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with open('zcash-shielded-data.csv', 'w') as csvfile:
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writer = csv.writer(csvfile, delimiter=',',
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quotechar='|', quoting=csv.QUOTE_MINIMAL)
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while cur_block_hash:
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data = rpc_connection.getblock(cur_block_hash, 2)
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txs = []
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num_sprout = 0
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num_transparent = 0
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num_with_sapling = 0
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for tx in data['tx']:
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sprout_shielding = [jsdesc['vpub_oldZat'] for jsdesc in tx['vjoinsplit'] if jsdesc['vpub_oldZat'] > 0]
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sprout_unshielding = [jsdesc['vpub_newZat'] for jsdesc in tx['vjoinsplit'] if jsdesc['vpub_newZat'] > 0]
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sapling_shielding = -tx['valueBalanceZat'] if 'valueBalanceZat' in tx and tx['valueBalanceZat'] < 0 else 0
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sapling_unshielding = tx['valueBalanceZat'] if 'valueBalanceZat' in tx and tx['valueBalanceZat'] > 0 else 0
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is_mixed = len(tx['vjoinsplit']) > 0 and 'vShieldedSpend' in tx and (len(tx['vShieldedSpend']) + len(tx['vShieldedOutput'])) > 0
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is_migration = len(sprout_unshielding) > 0 and 'vShieldedSpend' in tx and len(tx['vShieldedSpend']) == 0 and len(tx['vShieldedOutput']) > 0
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txs.append({
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'num_jsdesc': len(tx['vjoinsplit']),
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'sprout_shielding': sprout_shielding,
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'sprout_unshielding': sprout_unshielding,
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'sapling_shielding': sapling_shielding,
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'sapling_unshielding': sapling_unshielding,
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'is_mixed': is_mixed,
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'is_migration': is_migration,
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})
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if len(tx['vjoinsplit']) > 0:
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# Transactions that involve Sprout
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num_sprout = num_sprout + 1
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elif 'vShieldedSpend' in tx and ((len(tx['vShieldedSpend']) + len(tx['vShieldedOutput'])) > 0):
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# Transactions that don't involve Sprout and do involve Sapling
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num_with_sapling = num_with_sapling + 1
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else:
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# Purely transparent transactions
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num_transparent = num_transparent + 1
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num_jsdesc = sum([tx['num_jsdesc'] for tx in txs])
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num_shielding = len([tx for tx in txs if len(tx['sprout_shielding']) > 0])
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num_unshielding = len([tx for tx in txs if len(tx['sprout_unshielding']) > 0])
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num_less_private_shielding = len([tx for tx in txs if len(tx['sprout_shielding']) > 1])
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num_less_private_unshielding = len([tx for tx in txs if len(tx['sprout_unshielding']) > 1])
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num_mixed = len([tx for tx in txs if tx['is_mixed']])
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num_migrating = len([tx for tx in txs if tx['is_migration']])
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sprout_shielding = sum([value for tx in txs for value in tx['sprout_shielding']])
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sprout_unshielding = sum([value for tx in txs for value in tx['sprout_unshielding']])
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sapling_shielding = sum([tx['sapling_shielding'] for tx in txs])
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sapling_unshielding = sum([tx['sapling_unshielding'] for tx in txs])
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writer.writerow([
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data['height'],
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num_transparent,
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num_with_sapling,
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num_sprout,
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num_jsdesc,
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num_shielding,
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num_unshielding,
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num_less_private_shielding,
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num_less_private_unshielding,
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num_mixed,
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num_migrating,
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sprout_shielding,
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sapling_shielding,
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sprout_unshielding,
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sapling_unshielding,
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])
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if data['height'] <= cur_height:
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pbar.update(data['height'])
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cur_block_hash = data.get('nextblockhash', None)
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