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// Copyright (c) 2009-2010 Satoshi Nakamoto
// Copyright (c) 2009-2016 The Bitcoin Core developers
// Distributed under the MIT software license, see the accompanying
// file COPYING or http://www.opensource.org/licenses/mit-license.php.
#include "policy/fees.h"
#include "policy/policy.h"
#include "amount.h"
#include "clientversion.h"
#include "primitives/transaction.h"
#include "random.h"
#include "streams.h"
#include "txmempool.h"
#include "util.h"
/**
* We will instantiate an instance of this class to track transactions that were
* included in a block. We will lump transactions into a bucket according to their
* approximate feerate and then track how long it took for those txs to be included in a block
*
* The tracking of unconfirmed (mempool) transactions is completely independent of the
* historical tracking of transactions that have been confirmed in a block.
*/
class TxConfirmStats
{
private:
//Define the buckets we will group transactions into
std::vector<double> buckets; // The upper-bound of the range for the bucket (inclusive)
std::map<double, unsigned int> bucketMap; // Map of bucket upper-bound to index into all vectors by bucket
// For each bucket X:
// Count the total # of txs in each bucket
// Track the historical moving average of this total over blocks
std::vector<double> txCtAvg;
// and calculate the total for the current block to update the moving average
std::vector<int> curBlockTxCt;
// Count the total # of txs confirmed within Y blocks in each bucket
// Track the historical moving average of theses totals over blocks
std::vector<std::vector<double> > confAvg; // confAvg[Y][X]
// and calculate the totals for the current block to update the moving averages
std::vector<std::vector<int> > curBlockConf; // curBlockConf[Y][X]
// Sum the total feerate of all tx's in each bucket
// Track the historical moving average of this total over blocks
std::vector<double> avg;
// and calculate the total for the current block to update the moving average
std::vector<double> curBlockVal;
// Combine the conf counts with tx counts to calculate the confirmation % for each Y,X
// Combine the total value with the tx counts to calculate the avg feerate per bucket
double decay;
// Mempool counts of outstanding transactions
// For each bucket X, track the number of transactions in the mempool
// that are unconfirmed for each possible confirmation value Y
std::vector<std::vector<int> > unconfTxs; //unconfTxs[Y][X]
// transactions still unconfirmed after MAX_CONFIRMS for each bucket
std::vector<int> oldUnconfTxs;
public:
/**
* Create new TxConfirmStats. This is called by BlockPolicyEstimator's
* constructor with default values.
* @param defaultBuckets contains the upper limits for the bucket boundaries
* @param maxConfirms max number of confirms to track
* @param decay how much to decay the historical moving average per block
*/
TxConfirmStats(const std::vector<double>& defaultBuckets, unsigned int maxConfirms, double decay);
/** Clear the state of the curBlock variables to start counting for the new block */
void ClearCurrent(unsigned int nBlockHeight);
/**
* Record a new transaction data point in the current block stats
* @param blocksToConfirm the number of blocks it took this transaction to confirm
* @param val the feerate of the transaction
* @warning blocksToConfirm is 1-based and has to be >= 1
*/
void Record(int blocksToConfirm, double val);
/** Record a new transaction entering the mempool*/
unsigned int NewTx(unsigned int nBlockHeight, double val);
/** Remove a transaction from mempool tracking stats*/
void removeTx(unsigned int entryHeight, unsigned int nBestSeenHeight,
unsigned int bucketIndex);
/** Update our estimates by decaying our historical moving average and updating
with the data gathered from the current block */
void UpdateMovingAverages();
/**
* Calculate a feerate estimate. Find the lowest value bucket (or range of buckets
* to make sure we have enough data points) whose transactions still have sufficient likelihood
* of being confirmed within the target number of confirmations
* @param confTarget target number of confirmations
* @param sufficientTxVal required average number of transactions per block in a bucket range
* @param minSuccess the success probability we require
* @param requireGreater return the lowest feerate such that all higher values pass minSuccess OR
* return the highest feerate such that all lower values fail minSuccess
* @param nBlockHeight the current block height
*/
double EstimateMedianVal(int confTarget, double sufficientTxVal,
double minSuccess, bool requireGreater, unsigned int nBlockHeight) const;
/** Return the max number of confirms we're tracking */
unsigned int GetMaxConfirms() const { return confAvg.size(); }
/** Write state of estimation data to a file*/
void Write(CAutoFile& fileout) const;
/**
* Read saved state of estimation data from a file and replace all internal data structures and
* variables with this state.
*/
void Read(CAutoFile& filein);
};
TxConfirmStats::TxConfirmStats(const std::vector<double>& defaultBuckets,
unsigned int maxConfirms, double _decay)
{
decay = _decay;
for (unsigned int i = 0; i < defaultBuckets.size(); i++) {
buckets.push_back(defaultBuckets[i]);
bucketMap[defaultBuckets[i]] = i;
}
confAvg.resize(maxConfirms);
curBlockConf.resize(maxConfirms);
unconfTxs.resize(maxConfirms);
for (unsigned int i = 0; i < maxConfirms; i++) {
confAvg[i].resize(buckets.size());
curBlockConf[i].resize(buckets.size());
unconfTxs[i].resize(buckets.size());
}
oldUnconfTxs.resize(buckets.size());
curBlockTxCt.resize(buckets.size());
txCtAvg.resize(buckets.size());
curBlockVal.resize(buckets.size());
avg.resize(buckets.size());
}
// Zero out the data for the current block
void TxConfirmStats::ClearCurrent(unsigned int nBlockHeight)
{
for (unsigned int j = 0; j < buckets.size(); j++) {
oldUnconfTxs[j] += unconfTxs[nBlockHeight%unconfTxs.size()][j];
unconfTxs[nBlockHeight%unconfTxs.size()][j] = 0;
for (unsigned int i = 0; i < curBlockConf.size(); i++)
curBlockConf[i][j] = 0;
curBlockTxCt[j] = 0;
curBlockVal[j] = 0;
}
}
void TxConfirmStats::Record(int blocksToConfirm, double val)
{
// blocksToConfirm is 1-based
if (blocksToConfirm < 1)
return;
unsigned int bucketindex = bucketMap.lower_bound(val)->second;
for (size_t i = blocksToConfirm; i <= curBlockConf.size(); i++) {
curBlockConf[i - 1][bucketindex]++;
}
curBlockTxCt[bucketindex]++;
curBlockVal[bucketindex] += val;
}
void TxConfirmStats::UpdateMovingAverages()
{
for (unsigned int j = 0; j < buckets.size(); j++) {
for (unsigned int i = 0; i < confAvg.size(); i++)
confAvg[i][j] = confAvg[i][j] * decay + curBlockConf[i][j];
avg[j] = avg[j] * decay + curBlockVal[j];
txCtAvg[j] = txCtAvg[j] * decay + curBlockTxCt[j];
}
}
// returns -1 on error conditions
double TxConfirmStats::EstimateMedianVal(int confTarget, double sufficientTxVal,
double successBreakPoint, bool requireGreater,
unsigned int nBlockHeight) const
{
// Counters for a bucket (or range of buckets)
double nConf = 0; // Number of tx's confirmed within the confTarget
double totalNum = 0; // Total number of tx's that were ever confirmed
int extraNum = 0; // Number of tx's still in mempool for confTarget or longer
int maxbucketindex = buckets.size() - 1;
// requireGreater means we are looking for the lowest feerate such that all higher
// values pass, so we start at maxbucketindex (highest feerate) and look at successively
// smaller buckets until we reach failure. Otherwise, we are looking for the highest
// feerate such that all lower values fail, and we go in the opposite direction.
unsigned int startbucket = requireGreater ? maxbucketindex : 0;
int step = requireGreater ? -1 : 1;
// We'll combine buckets until we have enough samples.
// The near and far variables will define the range we've combined
// The best variables are the last range we saw which still had a high
// enough confirmation rate to count as success.
// The cur variables are the current range we're counting.
unsigned int curNearBucket = startbucket;
unsigned int bestNearBucket = startbucket;
unsigned int curFarBucket = startbucket;
unsigned int bestFarBucket = startbucket;
bool foundAnswer = false;
unsigned int bins = unconfTxs.size();
// Start counting from highest(default) or lowest feerate transactions
for (int bucket = startbucket; bucket >= 0 && bucket <= maxbucketindex; bucket += step) {
curFarBucket = bucket;
nConf += confAvg[confTarget - 1][bucket];
totalNum += txCtAvg[bucket];
for (unsigned int confct = confTarget; confct < GetMaxConfirms(); confct++)
extraNum += unconfTxs[(nBlockHeight - confct)%bins][bucket];
extraNum += oldUnconfTxs[bucket];
// If we have enough transaction data points in this range of buckets,
// we can test for success
// (Only count the confirmed data points, so that each confirmation count
// will be looking at the same amount of data and same bucket breaks)
if (totalNum >= sufficientTxVal / (1 - decay)) {
double curPct = nConf / (totalNum + extraNum);
// Check to see if we are no longer getting confirmed at the success rate
if (requireGreater && curPct < successBreakPoint)
break;
if (!requireGreater && curPct > successBreakPoint)
break;
// Otherwise update the cumulative stats, and the bucket variables
// and reset the counters
else {
foundAnswer = true;
nConf = 0;
totalNum = 0;
extraNum = 0;
bestNearBucket = curNearBucket;
bestFarBucket = curFarBucket;
curNearBucket = bucket + step;
}
}
}
double median = -1;
double txSum = 0;
// Calculate the "average" feerate of the best bucket range that met success conditions
// Find the bucket with the median transaction and then report the average feerate from that bucket
// This is a compromise between finding the median which we can't since we don't save all tx's
// and reporting the average which is less accurate
unsigned int minBucket = bestNearBucket < bestFarBucket ? bestNearBucket : bestFarBucket;
unsigned int maxBucket = bestNearBucket > bestFarBucket ? bestNearBucket : bestFarBucket;
for (unsigned int j = minBucket; j <= maxBucket; j++) {
txSum += txCtAvg[j];
}
if (foundAnswer && txSum != 0) {
txSum = txSum / 2;
for (unsigned int j = minBucket; j <= maxBucket; j++) {
if (txCtAvg[j] < txSum)
txSum -= txCtAvg[j];
else { // we're in the right bucket
median = avg[j] / txCtAvg[j];
break;
}
}
}
LogPrint(BCLog::ESTIMATEFEE, "%3d: For conf success %s %4.2f need feerate %s: %12.5g from buckets %8g - %8g Cur Bucket stats %6.2f%% %8.1f/(%.1f+%d mempool)\n",
confTarget, requireGreater ? ">" : "<", successBreakPoint,
requireGreater ? ">" : "<", median, buckets[minBucket], buckets[maxBucket],
100 * nConf / (totalNum + extraNum), nConf, totalNum, extraNum);
return median;
}
void TxConfirmStats::Write(CAutoFile& fileout) const
{
fileout << decay;
fileout << buckets;
fileout << avg;
fileout << txCtAvg;
fileout << confAvg;
}
void TxConfirmStats::Read(CAutoFile& filein)
{
// Read data file into temporary variables and do some very basic sanity checking
std::vector<double> fileBuckets;
std::vector<double> fileAvg;
std::vector<std::vector<double> > fileConfAvg;
std::vector<double> fileTxCtAvg;
double fileDecay;
size_t maxConfirms;
size_t numBuckets;
filein >> fileDecay;
if (fileDecay <= 0 || fileDecay >= 1)
throw std::runtime_error("Corrupt estimates file. Decay must be between 0 and 1 (non-inclusive)");
filein >> fileBuckets;
numBuckets = fileBuckets.size();
if (numBuckets <= 1 || numBuckets > 1000)
throw std::runtime_error("Corrupt estimates file. Must have between 2 and 1000 feerate buckets");
filein >> fileAvg;
if (fileAvg.size() != numBuckets)
throw std::runtime_error("Corrupt estimates file. Mismatch in feerate average bucket count");
filein >> fileTxCtAvg;
if (fileTxCtAvg.size() != numBuckets)
throw std::runtime_error("Corrupt estimates file. Mismatch in tx count bucket count");
filein >> fileConfAvg;
maxConfirms = fileConfAvg.size();
if (maxConfirms <= 0 || maxConfirms > 6 * 24 * 7) // one week
throw std::runtime_error("Corrupt estimates file. Must maintain estimates for between 1 and 1008 (one week) confirms");
for (unsigned int i = 0; i < maxConfirms; i++) {
if (fileConfAvg[i].size() != numBuckets)
throw std::runtime_error("Corrupt estimates file. Mismatch in feerate conf average bucket count");
}
// Now that we've processed the entire feerate estimate data file and not
// thrown any errors, we can copy it to our data structures
decay = fileDecay;
buckets = fileBuckets;
avg = fileAvg;
confAvg = fileConfAvg;
txCtAvg = fileTxCtAvg;
bucketMap.clear();
// Resize the current block variables which aren't stored in the data file
// to match the number of confirms and buckets
curBlockConf.resize(maxConfirms);
for (unsigned int i = 0; i < maxConfirms; i++) {
curBlockConf[i].resize(buckets.size());
}
curBlockTxCt.resize(buckets.size());
curBlockVal.resize(buckets.size());
unconfTxs.resize(maxConfirms);
for (unsigned int i = 0; i < maxConfirms; i++) {
unconfTxs[i].resize(buckets.size());
}
oldUnconfTxs.resize(buckets.size());
for (unsigned int i = 0; i < buckets.size(); i++)
bucketMap[buckets[i]] = i;
LogPrint(BCLog::ESTIMATEFEE, "Reading estimates: %u buckets counting confirms up to %u blocks\n",
numBuckets, maxConfirms);
}
unsigned int TxConfirmStats::NewTx(unsigned int nBlockHeight, double val)
{
unsigned int bucketindex = bucketMap.lower_bound(val)->second;
unsigned int blockIndex = nBlockHeight % unconfTxs.size();
unconfTxs[blockIndex][bucketindex]++;
return bucketindex;
}
void TxConfirmStats::removeTx(unsigned int entryHeight, unsigned int nBestSeenHeight, unsigned int bucketindex)
{
//nBestSeenHeight is not updated yet for the new block
int blocksAgo = nBestSeenHeight - entryHeight;
if (nBestSeenHeight == 0) // the BlockPolicyEstimator hasn't seen any blocks yet
blocksAgo = 0;
if (blocksAgo < 0) {
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy error, blocks ago is negative for mempool tx\n");
return; //This can't happen because we call this with our best seen height, no entries can have higher
}
if (blocksAgo >= (int)unconfTxs.size()) {
if (oldUnconfTxs[bucketindex] > 0) {
oldUnconfTxs[bucketindex]--;
} else {
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy error, mempool tx removed from >25 blocks,bucketIndex=%u already\n",
bucketindex);
}
}
else {
unsigned int blockIndex = entryHeight % unconfTxs.size();
if (unconfTxs[blockIndex][bucketindex] > 0) {
unconfTxs[blockIndex][bucketindex]--;
} else {
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy error, mempool tx removed from blockIndex=%u,bucketIndex=%u already\n",
blockIndex, bucketindex);
}
}
}
// This function is called from CTxMemPool::removeUnchecked to ensure
// txs removed from the mempool for any reason are no longer
// tracked. Txs that were part of a block have already been removed in
// processBlockTx to ensure they are never double tracked, but it is
// of no harm to try to remove them again.
bool CBlockPolicyEstimator::removeTx(uint256 hash)
{
LOCK(cs_feeEstimator);
std::map<uint256, TxStatsInfo>::iterator pos = mapMemPoolTxs.find(hash);
if (pos != mapMemPoolTxs.end()) {
feeStats->removeTx(pos->second.blockHeight, nBestSeenHeight, pos->second.bucketIndex);
mapMemPoolTxs.erase(hash);
return true;
} else {
return false;
}
}
CBlockPolicyEstimator::CBlockPolicyEstimator()
: nBestSeenHeight(0), trackedTxs(0), untrackedTxs(0)
{
static_assert(MIN_BUCKET_FEERATE > 0, "Min feerate must be nonzero");
minTrackedFee = CFeeRate(MIN_BUCKET_FEERATE);
std::vector<double> vfeelist;
for (double bucketBoundary = minTrackedFee.GetFeePerK(); bucketBoundary <= MAX_BUCKET_FEERATE; bucketBoundary *= FEE_SPACING) {
vfeelist.push_back(bucketBoundary);
}
vfeelist.push_back(INF_FEERATE);
feeStats = new TxConfirmStats(vfeelist, MAX_BLOCK_CONFIRMS, DEFAULT_DECAY);
}
CBlockPolicyEstimator::~CBlockPolicyEstimator()
{
delete feeStats;
}
void CBlockPolicyEstimator::processTransaction(const CTxMemPoolEntry& entry, bool validFeeEstimate)
{
LOCK(cs_feeEstimator);
unsigned int txHeight = entry.GetHeight();
uint256 hash = entry.GetTx().GetHash();
if (mapMemPoolTxs.count(hash)) {
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy error mempool tx %s already being tracked\n",
hash.ToString().c_str());
return;
}
if (txHeight != nBestSeenHeight) {
// Ignore side chains and re-orgs; assuming they are random they don't
// affect the estimate. We'll potentially double count transactions in 1-block reorgs.
// Ignore txs if BlockPolicyEstimator is not in sync with chainActive.Tip().
// It will be synced next time a block is processed.
return;
}
// Only want to be updating estimates when our blockchain is synced,
// otherwise we'll miscalculate how many blocks its taking to get included.
if (!validFeeEstimate) {
untrackedTxs++;
return;
}
trackedTxs++;
// Feerates are stored and reported as BTC-per-kb:
CFeeRate feeRate(entry.GetFee(), entry.GetTxSize());
mapMemPoolTxs[hash].blockHeight = txHeight;
mapMemPoolTxs[hash].bucketIndex = feeStats->NewTx(txHeight, (double)feeRate.GetFeePerK());
}
bool CBlockPolicyEstimator::processBlockTx(unsigned int nBlockHeight, const CTxMemPoolEntry* entry)
{
if (!removeTx(entry->GetTx().GetHash())) {
// This transaction wasn't being tracked for fee estimation
return false;
}
// How many blocks did it take for miners to include this transaction?
// blocksToConfirm is 1-based, so a transaction included in the earliest
// possible block has confirmation count of 1
int blocksToConfirm = nBlockHeight - entry->GetHeight();
if (blocksToConfirm <= 0) {
// This can't happen because we don't process transactions from a block with a height
// lower than our greatest seen height
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy error Transaction had negative blocksToConfirm\n");
return false;
}
// Feerates are stored and reported as BTC-per-kb:
CFeeRate feeRate(entry->GetFee(), entry->GetTxSize());
feeStats->Record(blocksToConfirm, (double)feeRate.GetFeePerK());
return true;
}
void CBlockPolicyEstimator::processBlock(unsigned int nBlockHeight,
std::vector<const CTxMemPoolEntry*>& entries)
{
LOCK(cs_feeEstimator);
if (nBlockHeight <= nBestSeenHeight) {
// Ignore side chains and re-orgs; assuming they are random
// they don't affect the estimate.
// And if an attacker can re-org the chain at will, then
// you've got much bigger problems than "attacker can influence
// transaction fees."
return;
}
// Must update nBestSeenHeight in sync with ClearCurrent so that
// calls to removeTx (via processBlockTx) correctly calculate age
// of unconfirmed txs to remove from tracking.
nBestSeenHeight = nBlockHeight;
// Clear the current block state and update unconfirmed circular buffer
feeStats->ClearCurrent(nBlockHeight);
unsigned int countedTxs = 0;
// Repopulate the current block states
for (unsigned int i = 0; i < entries.size(); i++) {
if (processBlockTx(nBlockHeight, entries[i]))
countedTxs++;
}
// Update all exponential averages with the current block state
feeStats->UpdateMovingAverages();
LogPrint(BCLog::ESTIMATEFEE, "Blockpolicy after updating estimates for %u of %u txs in block, since last block %u of %u tracked, new mempool map size %u\n",
countedTxs, entries.size(), trackedTxs, trackedTxs + untrackedTxs, mapMemPoolTxs.size());
trackedTxs = 0;
untrackedTxs = 0;
}
CFeeRate CBlockPolicyEstimator::estimateFee(int confTarget) const
{
LOCK(cs_feeEstimator);
// Return failure if trying to analyze a target we're not tracking
// It's not possible to get reasonable estimates for confTarget of 1
if (confTarget <= 1 || (unsigned int)confTarget > feeStats->GetMaxConfirms())
return CFeeRate(0);
double median = feeStats->EstimateMedianVal(confTarget, SUFFICIENT_FEETXS, MIN_SUCCESS_PCT, true, nBestSeenHeight);
if (median < 0)
return CFeeRate(0);
return CFeeRate(median);
}
CFeeRate CBlockPolicyEstimator::estimateSmartFee(int confTarget, int *answerFoundAtTarget, const CTxMemPool& pool) const
{
if (answerFoundAtTarget)
*answerFoundAtTarget = confTarget;
double median = -1;
{
LOCK(cs_feeEstimator);
// Return failure if trying to analyze a target we're not tracking
if (confTarget <= 0 || (unsigned int)confTarget > feeStats->GetMaxConfirms())
return CFeeRate(0);
// It's not possible to get reasonable estimates for confTarget of 1
if (confTarget == 1)
confTarget = 2;
while (median < 0 && (unsigned int)confTarget <= feeStats->GetMaxConfirms()) {
median = feeStats->EstimateMedianVal(confTarget++, SUFFICIENT_FEETXS, MIN_SUCCESS_PCT, true, nBestSeenHeight);
}
} // Must unlock cs_feeEstimator before taking mempool locks
if (answerFoundAtTarget)
*answerFoundAtTarget = confTarget - 1;
// If mempool is limiting txs , return at least the min feerate from the mempool
CAmount minPoolFee = pool.GetMinFee(GetArg("-maxmempool", DEFAULT_MAX_MEMPOOL_SIZE) * 1000000).GetFeePerK();
if (minPoolFee > 0 && minPoolFee > median)
return CFeeRate(minPoolFee);
if (median < 0)
return CFeeRate(0);
return CFeeRate(median);
}
bool CBlockPolicyEstimator::Write(CAutoFile& fileout) const
{
try {
LOCK(cs_feeEstimator);
fileout << 139900; // version required to read: 0.13.99 or later
fileout << CLIENT_VERSION; // version that wrote the file
fileout << nBestSeenHeight;
feeStats->Write(fileout);
}
catch (const std::exception&) {
LogPrintf("CBlockPolicyEstimator::Write(): unable to write policy estimator data (non-fatal)\n");
return false;
}
return true;
}
bool CBlockPolicyEstimator::Read(CAutoFile& filein)
{
try {
LOCK(cs_feeEstimator);
int nVersionRequired, nVersionThatWrote, nFileBestSeenHeight;
filein >> nVersionRequired >> nVersionThatWrote;
if (nVersionRequired > CLIENT_VERSION)
return error("CBlockPolicyEstimator::Read(): up-version (%d) fee estimate file", nVersionRequired);
filein >> nFileBestSeenHeight;
feeStats->Read(filein);
nBestSeenHeight = nFileBestSeenHeight;
// if nVersionThatWrote < 139900 then another TxConfirmStats (for priority) follows but can be ignored.
}
catch (const std::exception&) {
LogPrintf("CBlockPolicyEstimator::Read(): unable to read policy estimator data (non-fatal)\n");
return false;
}
return true;
}
FeeFilterRounder::FeeFilterRounder(const CFeeRate& minIncrementalFee)
{
CAmount minFeeLimit = std::max(CAmount(1), minIncrementalFee.GetFeePerK() / 2);
feeset.insert(0);
for (double bucketBoundary = minFeeLimit; bucketBoundary <= MAX_BUCKET_FEERATE; bucketBoundary *= FEE_SPACING) {
feeset.insert(bucketBoundary);
}
}
CAmount FeeFilterRounder::round(CAmount currentMinFee)
{
std::set<double>::iterator it = feeset.lower_bound(currentMinFee);
if ((it != feeset.begin() && insecure_rand.rand32() % 3 != 0) || it == feeset.end()) {
it--;
}
return *it;
}
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