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