You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
litecoin/test/functional/feature_fee_estimation.py

274 lines
12 KiB

#!/usr/bin/env python3
# Copyright (c) 2014-2020 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test fee estimation code."""
from decimal import Decimal
import random
estimatefee / estimatepriority RPC methods New RPC methods: return an estimate of the fee (or priority) a transaction needs to be likely to confirm in a given number of blocks. Mike Hearn created the first version of this method for estimating fees. It works as follows: For transactions that took 1 to N (I picked N=25) blocks to confirm, keep N buckets with at most 100 entries in each recording the fees-per-kilobyte paid by those transactions. (separate buckets are kept for transactions that confirmed because they are high-priority) The buckets are filled as blocks are found, and are saved/restored in a new fee_estiamtes.dat file in the data directory. A few variations on Mike's initial scheme: To estimate the fee needed for a transaction to confirm in X buckets, all of the samples in all of the buckets are used and a median of all of the data is used to make the estimate. For example, imagine 25 buckets each containing the full 100 entries. Those 2,500 samples are sorted, and the estimate of the fee needed to confirm in the very next block is the 50'th-highest-fee-entry in that sorted list; the estimate of the fee needed to confirm in the next two blocks is the 150'th-highest-fee-entry, etc. That algorithm has the nice property that estimates of how much fee you need to pay to get confirmed in block N will always be greater than or equal to the estimate for block N+1. It would clearly be wrong to say "pay 11 uBTC and you'll get confirmed in 3 blocks, but pay 12 uBTC and it will take LONGER". A single block will not contribute more than 10 entries to any one bucket, so a single miner and a large block cannot overwhelm the estimates.
11 years ago
from test_framework.messages import CTransaction, CTxIn, CTxOut, COutPoint, ToHex, COIN
from test_framework.script import CScript, OP_1, OP_DROP, OP_2, OP_HASH160, OP_EQUAL, hash160, OP_TRUE
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
assert_equal,
assert_greater_than,
assert_greater_than_or_equal,
assert_raises_rpc_error,
satoshi_round,
)
estimatefee / estimatepriority RPC methods New RPC methods: return an estimate of the fee (or priority) a transaction needs to be likely to confirm in a given number of blocks. Mike Hearn created the first version of this method for estimating fees. It works as follows: For transactions that took 1 to N (I picked N=25) blocks to confirm, keep N buckets with at most 100 entries in each recording the fees-per-kilobyte paid by those transactions. (separate buckets are kept for transactions that confirmed because they are high-priority) The buckets are filled as blocks are found, and are saved/restored in a new fee_estiamtes.dat file in the data directory. A few variations on Mike's initial scheme: To estimate the fee needed for a transaction to confirm in X buckets, all of the samples in all of the buckets are used and a median of all of the data is used to make the estimate. For example, imagine 25 buckets each containing the full 100 entries. Those 2,500 samples are sorted, and the estimate of the fee needed to confirm in the very next block is the 50'th-highest-fee-entry in that sorted list; the estimate of the fee needed to confirm in the next two blocks is the 150'th-highest-fee-entry, etc. That algorithm has the nice property that estimates of how much fee you need to pay to get confirmed in block N will always be greater than or equal to the estimate for block N+1. It would clearly be wrong to say "pay 11 uBTC and you'll get confirmed in 3 blocks, but pay 12 uBTC and it will take LONGER". A single block will not contribute more than 10 entries to any one bucket, so a single miner and a large block cannot overwhelm the estimates.
11 years ago
# Construct 2 trivial P2SH's and the ScriptSigs that spend them
# So we can create many transactions without needing to spend
# time signing.
REDEEM_SCRIPT_1 = CScript([OP_1, OP_DROP])
REDEEM_SCRIPT_2 = CScript([OP_2, OP_DROP])
P2SH_1 = CScript([OP_HASH160, hash160(REDEEM_SCRIPT_1), OP_EQUAL])
P2SH_2 = CScript([OP_HASH160, hash160(REDEEM_SCRIPT_2), OP_EQUAL])
# Associated ScriptSig's to spend satisfy P2SH_1 and P2SH_2
SCRIPT_SIG = [CScript([OP_TRUE, REDEEM_SCRIPT_1]), CScript([OP_TRUE, REDEEM_SCRIPT_2])]
def small_txpuzzle_randfee(from_node, conflist, unconflist, amount, min_fee, fee_increment):
"""Create and send a transaction with a random fee.
The transaction pays to a trivial P2SH script, and assumes that its inputs
are of the same form.
The function takes a list of confirmed outputs and unconfirmed outputs
and attempts to use the confirmed list first for its inputs.
It adds the newly created outputs to the unconfirmed list.
Returns (raw transaction, fee)."""
# It's best to exponentially distribute our random fees
# because the buckets are exponentially spaced.
# Exponentially distributed from 1-128 * fee_increment
rand_fee = float(fee_increment) * (1.1892 ** random.randint(0, 28))
# Total fee ranges from min_fee to min_fee + 127*fee_increment
fee = min_fee - fee_increment + satoshi_round(rand_fee)
tx = CTransaction()
total_in = Decimal("0.00000000")
while total_in <= (amount + fee) and len(conflist) > 0:
t = conflist.pop(0)
total_in += t["amount"]
tx.vin.append(CTxIn(COutPoint(int(t["txid"], 16), t["vout"]), b""))
if total_in <= amount + fee:
while total_in <= (amount + fee) and len(unconflist) > 0:
t = unconflist.pop(0)
total_in += t["amount"]
tx.vin.append(CTxIn(COutPoint(int(t["txid"], 16), t["vout"]), b""))
if total_in <= amount + fee:
raise RuntimeError("Insufficient funds: need %d, have %d" % (amount + fee, total_in))
tx.vout.append(CTxOut(int((total_in - amount - fee) * COIN), P2SH_1))
tx.vout.append(CTxOut(int(amount * COIN), P2SH_2))
# These transactions don't need to be signed, but we still have to insert
# the ScriptSig that will satisfy the ScriptPubKey.
for inp in tx.vin:
inp.scriptSig = SCRIPT_SIG[inp.prevout.n]
txid = from_node.sendrawtransaction(hexstring=ToHex(tx), maxfeerate=0)
unconflist.append({"txid": txid, "vout": 0, "amount": total_in - amount - fee})
unconflist.append({"txid": txid, "vout": 1, "amount": amount})
return (ToHex(tx), fee)
def split_inputs(from_node, txins, txouts, initial_split=False):
"""Generate a lot of inputs so we can generate a ton of transactions.
This function takes an input from txins, and creates and sends a transaction
which splits the value into 2 outputs which are appended to txouts.
Previously this was designed to be small inputs so they wouldn't have
a high coin age when the notion of priority still existed."""
prevtxout = txins.pop()
tx = CTransaction()
tx.vin.append(CTxIn(COutPoint(int(prevtxout["txid"], 16), prevtxout["vout"]), b""))
half_change = satoshi_round(prevtxout["amount"] / 2)
rem_change = prevtxout["amount"] - half_change - Decimal("0.00001000")
tx.vout.append(CTxOut(int(half_change * COIN), P2SH_1))
tx.vout.append(CTxOut(int(rem_change * COIN), P2SH_2))
# If this is the initial split we actually need to sign the transaction
# Otherwise we just need to insert the proper ScriptSig
if (initial_split):
completetx = from_node.signrawtransactionwithwallet(ToHex(tx))["hex"]
else:
tx.vin[0].scriptSig = SCRIPT_SIG[prevtxout["vout"]]
completetx = ToHex(tx)
txid = from_node.sendrawtransaction(hexstring=completetx, maxfeerate=0)
txouts.append({"txid": txid, "vout": 0, "amount": half_change})
txouts.append({"txid": txid, "vout": 1, "amount": rem_change})
def check_raw_estimates(node, fees_seen):
"""Call estimaterawfee and verify that the estimates meet certain invariants."""
delta = 1.0e-6 # account for rounding error
for i in range(1, 26):
for _, e in node.estimaterawfee(i).items():
feerate = float(e["feerate"])
assert_greater_than(feerate, 0)
if feerate + delta < min(fees_seen) or feerate - delta > max(fees_seen):
raise AssertionError("Estimated fee (%f) out of range (%f,%f)"
% (feerate, min(fees_seen), max(fees_seen)))
def check_smart_estimates(node, fees_seen):
"""Call estimatesmartfee and verify that the estimates meet certain invariants."""
delta = 1.0e-6 # account for rounding error
last_feerate = float(max(fees_seen))
all_smart_estimates = [node.estimatesmartfee(i) for i in range(1, 26)]
for i, e in enumerate(all_smart_estimates): # estimate is for i+1
feerate = float(e["feerate"])
assert_greater_than(feerate, 0)
if feerate + delta < min(fees_seen) or feerate - delta > max(fees_seen):
raise AssertionError("Estimated fee (%f) out of range (%f,%f)"
% (feerate, min(fees_seen), max(fees_seen)))
if feerate - delta > last_feerate:
raise AssertionError("Estimated fee (%f) larger than last fee (%f) for lower number of confirms"
% (feerate, last_feerate))
last_feerate = feerate
if i == 0:
assert_equal(e["blocks"], 2)
else:
assert_greater_than_or_equal(i + 1, e["blocks"])
def check_estimates(node, fees_seen):
check_raw_estimates(node, fees_seen)
check_smart_estimates(node, fees_seen)
class EstimateFeeTest(BitcoinTestFramework):
def set_test_params(self):
self.num_nodes = 3
# mine non-standard txs (e.g. txs with "dust" outputs)
# Force fSendTrickle to true (via whitelist.noban)
self.extra_args = [
["-acceptnonstdtxn", "-whitelist=noban@127.0.0.1"],
["-acceptnonstdtxn", "-whitelist=noban@127.0.0.1", "-blockmaxweight=68000"],
["-acceptnonstdtxn", "-whitelist=noban@127.0.0.1", "-blockmaxweight=32000"],
]
def skip_test_if_missing_module(self):
self.skip_if_no_wallet()
def setup_network(self):
"""
We'll setup the network to have 3 nodes that all mine with different parameters.
But first we need to use one node to create a lot of outputs
which we will use to generate our transactions.
"""
self.add_nodes(3, extra_args=self.extra_args)
# Use node0 to mine blocks for input splitting
# Node1 mines small blocks but that are bigger than the expected transaction rate.
# NOTE: the CreateNewBlock code starts counting block weight at 4,000 weight,
# (68k weight is room enough for 120 or so transactions)
# Node2 is a stingy miner, that
# produces too small blocks (room for only 55 or so transactions)
self.start_nodes()
self.import_deterministic_coinbase_privkeys()
self.stop_nodes()
def transact_and_mine(self, numblocks, mining_node):
min_fee = Decimal("0.00001")
# We will now mine numblocks blocks generating on average 100 transactions between each block
# We shuffle our confirmed txout set before each set of transactions
# small_txpuzzle_randfee will use the transactions that have inputs already in the chain when possible
# resorting to tx's that depend on the mempool when those run out
for _ in range(numblocks):
random.shuffle(self.confutxo)
for _ in range(random.randrange(100 - 50, 100 + 50)):
from_index = random.randint(1, 2)
(txhex, fee) = small_txpuzzle_randfee(self.nodes[from_index], self.confutxo,
self.memutxo, Decimal("0.005"), min_fee, min_fee)
tx_kbytes = (len(txhex) // 2) / 1000.0
self.fees_per_kb.append(float(fee) / tx_kbytes)
self.sync_mempools(wait=.1)
mined = mining_node.getblock(mining_node.generate(1)[0], True)["tx"]
self.sync_blocks(wait=.1)
# update which txouts are confirmed
newmem = []
for utx in self.memutxo:
if utx["txid"] in mined:
self.confutxo.append(utx)
else:
newmem.append(utx)
self.memutxo = newmem
def run_test(self):
self.log.info("This test is time consuming, please be patient")
self.log.info("Splitting inputs so we can generate tx's")
# Start node0
self.start_node(0)
self.txouts = []
self.txouts2 = []
# Split a coinbase into two transaction puzzle outputs
split_inputs(self.nodes[0], self.nodes[0].listunspent(0), self.txouts, True)
# Mine
while len(self.nodes[0].getrawmempool()) > 0:
self.nodes[0].generate(1)
# Repeatedly split those 2 outputs, doubling twice for each rep
# Use txouts to monitor the available utxo, since these won't be tracked in wallet
reps = 0
while reps < 5:
# Double txouts to txouts2
while len(self.txouts) > 0:
split_inputs(self.nodes[0], self.txouts, self.txouts2)
while len(self.nodes[0].getrawmempool()) > 0:
self.nodes[0].generate(1)
# Double txouts2 to txouts
while len(self.txouts2) > 0:
split_inputs(self.nodes[0], self.txouts2, self.txouts)
while len(self.nodes[0].getrawmempool()) > 0:
self.nodes[0].generate(1)
reps += 1
self.log.info("Finished splitting")
# Now we can connect the other nodes, didn't want to connect them earlier
# so the estimates would not be affected by the splitting transactions
self.start_node(1)
self.start_node(2)
self.connect_nodes(1, 0)
self.connect_nodes(0, 2)
self.connect_nodes(2, 1)
self.sync_all()
self.fees_per_kb = []
self.memutxo = []
self.confutxo = self.txouts # Start with the set of confirmed txouts after splitting
self.log.info("Will output estimates for 1/2/3/6/15/25 blocks")
for _ in range(2):
self.log.info("Creating transactions and mining them with a block size that can't keep up")
# Create transactions and mine 10 small blocks with node 2, but create txs faster than we can mine
self.transact_and_mine(10, self.nodes[2])
check_estimates(self.nodes[1], self.fees_per_kb)
self.log.info("Creating transactions and mining them at a block size that is just big enough")
# Generate transactions while mining 10 more blocks, this time with node1
# which mines blocks with capacity just above the rate that transactions are being created
self.transact_and_mine(10, self.nodes[1])
check_estimates(self.nodes[1], self.fees_per_kb)
# Finish by mining a normal-sized block:
while len(self.nodes[1].getrawmempool()) > 0:
self.nodes[1].generate(1)
estimatefee / estimatepriority RPC methods New RPC methods: return an estimate of the fee (or priority) a transaction needs to be likely to confirm in a given number of blocks. Mike Hearn created the first version of this method for estimating fees. It works as follows: For transactions that took 1 to N (I picked N=25) blocks to confirm, keep N buckets with at most 100 entries in each recording the fees-per-kilobyte paid by those transactions. (separate buckets are kept for transactions that confirmed because they are high-priority) The buckets are filled as blocks are found, and are saved/restored in a new fee_estiamtes.dat file in the data directory. A few variations on Mike's initial scheme: To estimate the fee needed for a transaction to confirm in X buckets, all of the samples in all of the buckets are used and a median of all of the data is used to make the estimate. For example, imagine 25 buckets each containing the full 100 entries. Those 2,500 samples are sorted, and the estimate of the fee needed to confirm in the very next block is the 50'th-highest-fee-entry in that sorted list; the estimate of the fee needed to confirm in the next two blocks is the 150'th-highest-fee-entry, etc. That algorithm has the nice property that estimates of how much fee you need to pay to get confirmed in block N will always be greater than or equal to the estimate for block N+1. It would clearly be wrong to say "pay 11 uBTC and you'll get confirmed in 3 blocks, but pay 12 uBTC and it will take LONGER". A single block will not contribute more than 10 entries to any one bucket, so a single miner and a large block cannot overwhelm the estimates.
11 years ago
self.sync_blocks(self.nodes[0:3], wait=.1)
self.log.info("Final estimates after emptying mempools")
check_estimates(self.nodes[1], self.fees_per_kb)
estimatefee / estimatepriority RPC methods New RPC methods: return an estimate of the fee (or priority) a transaction needs to be likely to confirm in a given number of blocks. Mike Hearn created the first version of this method for estimating fees. It works as follows: For transactions that took 1 to N (I picked N=25) blocks to confirm, keep N buckets with at most 100 entries in each recording the fees-per-kilobyte paid by those transactions. (separate buckets are kept for transactions that confirmed because they are high-priority) The buckets are filled as blocks are found, and are saved/restored in a new fee_estiamtes.dat file in the data directory. A few variations on Mike's initial scheme: To estimate the fee needed for a transaction to confirm in X buckets, all of the samples in all of the buckets are used and a median of all of the data is used to make the estimate. For example, imagine 25 buckets each containing the full 100 entries. Those 2,500 samples are sorted, and the estimate of the fee needed to confirm in the very next block is the 50'th-highest-fee-entry in that sorted list; the estimate of the fee needed to confirm in the next two blocks is the 150'th-highest-fee-entry, etc. That algorithm has the nice property that estimates of how much fee you need to pay to get confirmed in block N will always be greater than or equal to the estimate for block N+1. It would clearly be wrong to say "pay 11 uBTC and you'll get confirmed in 3 blocks, but pay 12 uBTC and it will take LONGER". A single block will not contribute more than 10 entries to any one bucket, so a single miner and a large block cannot overwhelm the estimates.
11 years ago
self.log.info("Testing that fee estimation is disabled in blocksonly.")
self.restart_node(0, ["-blocksonly"])
assert_raises_rpc_error(-32603, "Fee estimation disabled",
self.nodes[0].estimatesmartfee, 2)
estimatefee / estimatepriority RPC methods New RPC methods: return an estimate of the fee (or priority) a transaction needs to be likely to confirm in a given number of blocks. Mike Hearn created the first version of this method for estimating fees. It works as follows: For transactions that took 1 to N (I picked N=25) blocks to confirm, keep N buckets with at most 100 entries in each recording the fees-per-kilobyte paid by those transactions. (separate buckets are kept for transactions that confirmed because they are high-priority) The buckets are filled as blocks are found, and are saved/restored in a new fee_estiamtes.dat file in the data directory. A few variations on Mike's initial scheme: To estimate the fee needed for a transaction to confirm in X buckets, all of the samples in all of the buckets are used and a median of all of the data is used to make the estimate. For example, imagine 25 buckets each containing the full 100 entries. Those 2,500 samples are sorted, and the estimate of the fee needed to confirm in the very next block is the 50'th-highest-fee-entry in that sorted list; the estimate of the fee needed to confirm in the next two blocks is the 150'th-highest-fee-entry, etc. That algorithm has the nice property that estimates of how much fee you need to pay to get confirmed in block N will always be greater than or equal to the estimate for block N+1. It would clearly be wrong to say "pay 11 uBTC and you'll get confirmed in 3 blocks, but pay 12 uBTC and it will take LONGER". A single block will not contribute more than 10 entries to any one bucket, so a single miner and a large block cannot overwhelm the estimates.
11 years ago
if __name__ == '__main__':
EstimateFeeTest().main()