mirror of
https://github.com/retoaccess1/haveno-reto.git
synced 2024-12-12 21:03:32 +01:00
remove duplicate historical trade stats after fuzzing
This commit is contained in:
parent
75b96e83da
commit
c63cf2f0a0
@ -69,6 +69,8 @@ public final class TradeStatistics3 implements ProcessOncePersistableNetworkPayl
|
||||
|
||||
@JsonExclude
|
||||
private transient static final ZoneId ZONE_ID = ZoneId.systemDefault();
|
||||
private static final double FUZZ_AMOUNT_PCT = 0.05;
|
||||
private static final int FUZZ_DATE_HOURS = 24;
|
||||
|
||||
public static TradeStatistics3 from(Trade trade,
|
||||
@Nullable String referralId,
|
||||
@ -102,8 +104,7 @@ public final class TradeStatistics3 implements ProcessOncePersistableNetworkPayl
|
||||
long originalTimestamp = trade.getTakeOfferDate().getTime();
|
||||
long exactAmount = trade.getAmount().longValueExact();
|
||||
Random random = new Random(originalTimestamp); // pseudo random generator seeded from take offer datestamp
|
||||
long adjustedAmount = (long) random.nextDouble(
|
||||
exactAmount * 0.95, exactAmount * 1.05);
|
||||
long adjustedAmount = (long) random.nextDouble(exactAmount * (1.0 - FUZZ_AMOUNT_PCT), exactAmount * (1 + FUZZ_AMOUNT_PCT));
|
||||
log.debug("trade {} fuzzed trade amount for tradeStatistics is {}", trade.getShortId(), adjustedAmount);
|
||||
return adjustedAmount;
|
||||
}
|
||||
@ -111,8 +112,7 @@ public final class TradeStatistics3 implements ProcessOncePersistableNetworkPayl
|
||||
private static long fuzzTradeDateReproducibly(Trade trade) { // randomize completed trade info #1099
|
||||
long originalTimestamp = trade.getTakeOfferDate().getTime();
|
||||
Random random = new Random(originalTimestamp); // pseudo random generator seeded from take offer datestamp
|
||||
long adjustedTimestamp = random.nextLong(
|
||||
originalTimestamp-TimeUnit.HOURS.toMillis(24), originalTimestamp);
|
||||
long adjustedTimestamp = random.nextLong(originalTimestamp - TimeUnit.HOURS.toMillis(FUZZ_DATE_HOURS), originalTimestamp);
|
||||
log.debug("trade {} fuzzed trade datestamp for tradeStatistics is {}", trade.getShortId(), new Date(adjustedTimestamp));
|
||||
return adjustedTimestamp;
|
||||
}
|
||||
|
@ -110,35 +110,54 @@ public class TradeStatisticsManager {
|
||||
maybeDumpStatistics();
|
||||
}
|
||||
|
||||
private void deduplicateEarlyTradeStatistics(Set<TradeStatistics3> set) {
|
||||
private void deduplicateEarlyTradeStatistics(Set<TradeStatistics3> tradeStats) {
|
||||
|
||||
// collect trades before May 31, 2024
|
||||
Set<TradeStatistics3> tradesBeforeMay31_24 = set.stream()
|
||||
.filter(e -> e.getDate().toInstant().isBefore(Instant.parse("2024-05-31T00:00:00Z")))
|
||||
// collect trades before August 7, 2024
|
||||
Set<TradeStatistics3> earlyTrades = tradeStats.stream()
|
||||
.filter(e -> e.getDate().toInstant().isBefore(Instant.parse("2024-08-07T00:00:00Z")))
|
||||
.collect(Collectors.toSet());
|
||||
|
||||
// collect duplicated trades
|
||||
Set<TradeStatistics3> duplicated = new HashSet<TradeStatistics3>();
|
||||
Set<TradeStatistics3> deduplicated = new HashSet<TradeStatistics3>();
|
||||
for (TradeStatistics3 tradeStatistics : tradesBeforeMay31_24) {
|
||||
if (hasLenientDuplicate(tradeStatistics, deduplicated)) duplicated.add(tradeStatistics);
|
||||
else deduplicated.add(tradeStatistics);
|
||||
Set<TradeStatistics3> duplicates = new HashSet<TradeStatistics3>();
|
||||
Set<TradeStatistics3> deduplicates = new HashSet<TradeStatistics3>();
|
||||
Set<TradeStatistics3> usedAsDuplicate = new HashSet<TradeStatistics3>();
|
||||
for (TradeStatistics3 tradeStatistic : earlyTrades) {
|
||||
TradeStatistics3 fuzzyDuplicate = findFuzzyDuplicate(tradeStatistic, deduplicates, usedAsDuplicate);
|
||||
if (fuzzyDuplicate == null) deduplicates.add(tradeStatistic);
|
||||
else {
|
||||
duplicates.add(tradeStatistic);
|
||||
usedAsDuplicate.add(fuzzyDuplicate);
|
||||
}
|
||||
}
|
||||
|
||||
// remove duplicated trades
|
||||
set.removeAll(duplicated);
|
||||
tradeStats.removeAll(duplicates);
|
||||
}
|
||||
|
||||
private boolean hasLenientDuplicate(TradeStatistics3 tradeStatistics, Set<TradeStatistics3> set) {
|
||||
return set.stream().anyMatch(e -> isLenientDuplicate(tradeStatistics, e));
|
||||
private TradeStatistics3 findFuzzyDuplicate(TradeStatistics3 tradeStatistics, Set<TradeStatistics3> set, Set<TradeStatistics3> excluded) {
|
||||
return set.stream().filter(e -> !excluded.contains(e)).filter(e -> isFuzzyDuplicate(tradeStatistics, e)).findFirst().orElse(null);
|
||||
}
|
||||
|
||||
private boolean isLenientDuplicate(TradeStatistics3 tradeStatistics1, TradeStatistics3 tradeStatistics2) {
|
||||
boolean isWithin2Minutes = Math.abs(tradeStatistics1.getDate().getTime() - tradeStatistics2.getDate().getTime()) < 120000;
|
||||
return isWithin2Minutes &&
|
||||
tradeStatistics1.getCurrency().equals(tradeStatistics2.getCurrency()) &&
|
||||
tradeStatistics1.getAmount() == tradeStatistics2.getAmount() &&
|
||||
tradeStatistics1.getPrice() == tradeStatistics2.getPrice();
|
||||
private boolean isFuzzyDuplicate(TradeStatistics3 tradeStatistics1, TradeStatistics3 tradeStatistics2) {
|
||||
if (!tradeStatistics1.getPaymentMethodId().equals(tradeStatistics2.getPaymentMethodId())) return false;
|
||||
if (!tradeStatistics1.getCurrency().equals(tradeStatistics2.getCurrency())) return false;
|
||||
if (tradeStatistics1.getPrice() != tradeStatistics2.getPrice()) return false;
|
||||
return isFuzzyDuplicateV1(tradeStatistics1, tradeStatistics2) || isFuzzyDuplicateV2(tradeStatistics1, tradeStatistics2);
|
||||
}
|
||||
|
||||
// bug caused all peers to publish same trade with similar timestamps
|
||||
private boolean isFuzzyDuplicateV1(TradeStatistics3 tradeStatistics1, TradeStatistics3 tradeStatistics2) {
|
||||
boolean isWithin2Minutes = Math.abs(tradeStatistics1.getDate().getTime() - tradeStatistics2.getDate().getTime()) <= TimeUnit.MINUTES.toMillis(2);
|
||||
return isWithin2Minutes;
|
||||
}
|
||||
|
||||
// bug caused sellers to re-publish their trades with randomized amounts
|
||||
private static final double FUZZ_AMOUNT_PCT = 0.05;
|
||||
private static final int FUZZ_DATE_HOURS = 24;
|
||||
private boolean isFuzzyDuplicateV2(TradeStatistics3 tradeStatistics1, TradeStatistics3 tradeStatistics2) {
|
||||
boolean isWithinFuzzedHours = Math.abs(tradeStatistics1.getDate().getTime() - tradeStatistics2.getDate().getTime()) <= TimeUnit.HOURS.toMillis(FUZZ_DATE_HOURS);
|
||||
boolean isWithinFuzzedAmount = Math.abs(tradeStatistics1.getAmount() - tradeStatistics2.getAmount()) <= FUZZ_AMOUNT_PCT * tradeStatistics1.getAmount();
|
||||
return isWithinFuzzedHours && isWithinFuzzedAmount;
|
||||
}
|
||||
|
||||
public ObservableSet<TradeStatistics3> getObservableTradeStatisticsSet() {
|
||||
|
Loading…
Reference in New Issue
Block a user