180 lines
7.4 KiB
Python
180 lines
7.4 KiB
Python
# standard imports
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import logging
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import math
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# third-pary imports
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import web3
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import celery
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import moolb
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from cic_registry.chain import ChainSpec
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from cic_registry.registry import CICRegistry
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from hexathon import strip_0x
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# local imports
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from cic_eth.eth.rpc import RpcClient
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from cic_eth.db.models.otx import Otx
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from cic_eth.eth.util import unpack_signed_raw_tx
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from cic_eth.db.enum import StatusEnum
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from cic_eth.eth.token import unpack_transfer
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from cic_eth.queue.tx import get_tx_cache
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from cic_eth.queue.time import tx_times
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celery_app = celery.current_app
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logg = logging.getLogger()
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MAX_BLOCK_TX = 250
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# TODO: Make this method easier to read
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@celery_app.task()
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def list_tx_by_bloom(bloomspec, address, chain_str):
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"""Retrieve external transaction data matching the provided filter
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The bloom filter representation with the following structure (the size of the filter will be inferred from the size of the provided filter data):
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{
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'alg': <str; hashing algorithm, currently only "sha256" is understood>,
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'high': <number; highest block number in matched set>,
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'low': <number; lowest block number in matched set>,
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'filter_rounds': <number; hashing rounds used to generate filter entry>,
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'block_filter': <hex; bloom filter data with block matches>,
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'blocktx_filter': <hex; bloom filter data with block+tx matches>,
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}
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:param bloomspec: Bloom filter data
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:type bloomspec: dict (see description above)
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:param address: Recipient address to use in matching
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:type address: str, 0x-hex
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:param chain_str: Chain spec string representation
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:type chain_str: str
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:returns: dict of transaction data as dict, keyed by transaction hash
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:rtype: dict of dict
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"""
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chain_spec = ChainSpec.from_chain_str(chain_str)
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c = RpcClient(chain_spec)
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block_filter_data = bytes.fromhex(bloomspec['block_filter'])
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tx_filter_data = bytes.fromhex(bloomspec['blocktx_filter'])
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databitlen = len(block_filter_data)*8
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block_filter = moolb.Bloom(databitlen, bloomspec['filter_rounds'], default_data=block_filter_data)
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tx_filter = moolb.Bloom(databitlen, bloomspec['filter_rounds'], default_data=tx_filter_data)
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txs = {}
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for block_height in range(bloomspec['low'], bloomspec['high']):
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block_height_bytes = block_height.to_bytes(4, 'big')
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if block_filter.check(block_height_bytes):
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logg.debug('filter matched block {}'.format(block_height))
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block = c.w3.eth.getBlock(block_height, True)
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for tx_index in range(0, len(block.transactions)):
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composite = tx_index + block_height
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tx_index_bytes = composite.to_bytes(4, 'big')
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if tx_filter.check(tx_index_bytes):
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logg.debug('filter matched block {} tx {}'.format(block_height, tx_index))
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try:
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tx = c.w3.eth.getTransactionByBlock(block_height, tx_index)
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except web3.exceptions.TransactionNotFound:
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logg.debug('false positive on block {} tx {}'.format(block_height, tx_index))
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continue
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tx_address = None
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tx_token_value = 0
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try:
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transfer_data = unpack_transfer(tx['data'])
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tx_address = transfer_data['to']
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tx_token_value = transfer_data['amount']
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except ValueError:
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logg.debug('not a transfer transaction, skipping {}'.format(tx))
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continue
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if address == tx_address:
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status = StatusEnum.SENT
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try:
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rcpt = c.w3.eth.getTransactionReceipt(tx.hash)
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if rcpt['status'] == 0:
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pending = StatusEnum.REVERTED
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else:
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pending = StatusEnum.SUCCESS
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except web3.exceptions.TransactionNotFound:
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pass
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tx_hash_hex = tx['hash'].hex()
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token = CICRegistry.get_address(chain_spec, tx['to'])
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token_symbol = token.symbol()
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token_decimals = token.decimals()
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times = tx_times(tx_hash_hex, chain_str)
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tx_r = {
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'hash': tx_hash_hex,
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'sender': tx['from'],
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'recipient': tx_address,
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'source_value': tx_token_value,
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'destination_value': tx_token_value,
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'source_token': tx['to'],
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'destination_token': tx['to'],
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'source_token_symbol': token_symbol,
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'destination_token_symbol': token_symbol,
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'source_token_decimals': token_decimals,
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'destination_token_decimals': token_decimals,
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'source_token_chain': chain_str,
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'destination_token_chain': chain_str,
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'nonce': tx['nonce'],
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}
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if times['queue'] != None:
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tx_r['date_created'] = times['queue']
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else:
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tx_r['date_created'] = times['network']
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txs[tx_hash_hex] = tx_r
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break
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return txs
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# TODO: Surely it must be possible to optimize this
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# TODO: DRY this with callback filter in cic_eth/runnable/manager
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# TODO: Remove redundant fields from end representation (timestamp, tx_hash)
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@celery_app.task()
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def tx_collate(tx_batches, chain_str, offset, limit, newest_first=True):
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"""Merges transaction data from multiple sources and sorts them in chronological order.
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:param tx_batches: Transaction data inputs
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:type tx_batches: lists of lists of transaction data
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:param chain_str: Chain spec string representation
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:type chain_str: str
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:param offset: Number of sorted results to skip (not yet implemented)
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:type offset: number
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:param limit: Maximum number of results to return (not yet implemented)
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:type limit: number
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:param newest_first: If True, returns results in reverse chronological order
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:type newest_first: bool
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:returns: Transactions
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:rtype: list
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"""
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txs_by_block = {}
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chain_spec = ChainSpec.from_chain_str(chain_str)
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if isinstance(tx_batches, dict):
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tx_batches = [tx_batches]
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for b in tx_batches:
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for v in b.values():
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tx = None
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k = None
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try:
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hx = strip_0x(v)
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tx = unpack_signed_raw_tx(bytes.fromhex(hx), chain_spec.chain_id())
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txc = get_tx_cache(tx['hash'])
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txc['timestamp'] = int(txc['date_created'].timestamp())
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txc['hash'] = txc['tx_hash']
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tx = txc
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except TypeError:
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tx = v
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tx['timestamp'] = tx['date_created']
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k = '{}.{}.{}'.format(tx['timestamp'], tx['sender'], tx['nonce'])
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txs_by_block[k] = tx
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txs = []
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ks = list(txs_by_block.keys())
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ks.sort()
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if newest_first:
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ks.reverse()
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for k in ks:
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txs.append(txs_by_block[k])
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return txs
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