feat(data-layer): Resampler (candle resampling) in all 10 languages (#310)
* feat(data-layer): Resampler (candle resampling) in all 10 languages Second data-layer feature (F3): resample candles into a higher timeframe. - Native (Node.js/WASM): new Resampler(timeframe) -> update(o,h,l,c,v,ts): Candle|null + flush(): Candle|null. Python the same -> tuple|None. - C ABI: wickra_resampler_new/update/flush/free (update has the multi-output shape so the generators auto-emit it; flush is bespoke). Go Update -> (Candle, bool) + Flush; C# Candle? Update/Flush; Java Candle update/flush; R update() generic + a flush() S3 method (extends base::flush); C/C++ direct. - Cross-language golden (testdata/golden/data_resampled.csv): the shared input candles resampled into 5-unit buckets, the final partial bucket via flush, pinned bit-for-bit across every binding. Verified locally in all 10 (3 candles for the 5-unit smoke; 16 for the golden). The WickraCandle output record is shared with the tick aggregator (deduped). * test(node): exclude data-layer types from the indicator completeness contract The Resampler exposes update(), so the completeness test flagged it as an indicator and required batch/reset/isReady/warmupPeriod, which a data-layer type does not have. Exclude TickAggregator and Resampler like the bar builders.
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// Generated from bindings/c/include/wickra.h. Do not edit by hand.
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package org.wickra;
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import org.wickra.internal.NativeMethods;
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import org.wickra.internal.WickraNative;
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import java.lang.foreign.Arena;
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import java.lang.foreign.MemorySegment;
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import java.lang.ref.Cleaner;
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import static java.lang.foreign.ValueLayout.*;
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/** Streaming Resampler indicator over the Wickra C ABI. Not thread-safe; close when done. */
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public final class Resampler implements AutoCloseable {
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private final MemorySegment handle;
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private final Cleaner.Cleanable cleanable;
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public Resampler(long timeframe) {
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MemorySegment h;
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try {
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h = (MemorySegment) NativeMethods.WICKRA_RESAMPLER_NEW.invokeExact(timeframe);
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} catch (Throwable t) {
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throw WickraNative.rethrow(t);
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}
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if (h.address() == 0L) {
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throw new IllegalArgumentException("invalid Resampler parameters");
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}
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this.handle = h;
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this.cleanable = WickraNative.register(this, h, NativeMethods.WICKRA_RESAMPLER_FREE);
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}
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/** Push one observation; returns the result, or null during warmup. */
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public Candle update(double open, double high, double low, double close, double volume, long timestamp) {
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try (Arena a = Arena.ofConfined()) {
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MemorySegment out = a.allocate(48L);
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byte ok = (byte) NativeMethods.WICKRA_RESAMPLER_UPDATE.invokeExact(handle, open, high, low, close, volume, timestamp, out);
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if (ok == 0) {
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return null;
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}
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return new Candle(
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out.get(JAVA_DOUBLE, 0L),
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out.get(JAVA_DOUBLE, 8L),
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out.get(JAVA_DOUBLE, 16L),
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out.get(JAVA_DOUBLE, 24L),
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out.get(JAVA_DOUBLE, 32L),
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(double) out.get(JAVA_LONG, 40L));
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} catch (Throwable t) {
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throw WickraNative.rethrow(t);
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}
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}
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/** Emit the final, still-open candle (null if none is pending). */
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public Candle flush() {
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try (Arena a = Arena.ofConfined()) {
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MemorySegment out = a.allocate(48L);
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byte ok = (byte) NativeMethods.WICKRA_RESAMPLER_FLUSH.invokeExact(handle, out);
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if (ok == 0) {
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return null;
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}
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return new Candle(
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out.get(JAVA_DOUBLE, 0L),
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out.get(JAVA_DOUBLE, 8L),
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out.get(JAVA_DOUBLE, 16L),
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out.get(JAVA_DOUBLE, 24L),
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out.get(JAVA_DOUBLE, 32L),
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(double) out.get(JAVA_LONG, 40L));
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} catch (Throwable t) {
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throw WickraNative.rethrow(t);
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}
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}
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@Override public void close() {
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cleanable.clean();
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}
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}
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@@ -3951,6 +3951,10 @@ public final class NativeMethods {
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public static MethodHandle WICKRA_TICK_AGGREGATOR_PUSH;
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public static MethodHandle WICKRA_TICK_AGGREGATOR_DRAIN;
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public static MethodHandle WICKRA_TICK_AGGREGATOR_FREE;
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public static MethodHandle WICKRA_RESAMPLER_NEW;
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public static MethodHandle WICKRA_RESAMPLER_UPDATE;
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public static MethodHandle WICKRA_RESAMPLER_FLUSH;
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public static MethodHandle WICKRA_RESAMPLER_FREE;
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static {
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init0();
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@@ -8023,6 +8027,10 @@ public final class NativeMethods {
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WICKRA_TICK_AGGREGATOR_PUSH = h("wickra_tick_aggregator_push", FunctionDescriptor.of(JAVA_LONG, ADDRESS, JAVA_DOUBLE, JAVA_DOUBLE, JAVA_LONG));
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WICKRA_TICK_AGGREGATOR_DRAIN = h("wickra_tick_aggregator_drain", FunctionDescriptor.of(JAVA_LONG, ADDRESS, ADDRESS, JAVA_LONG));
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WICKRA_TICK_AGGREGATOR_FREE = h("wickra_tick_aggregator_free", FunctionDescriptor.ofVoid(ADDRESS));
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WICKRA_RESAMPLER_NEW = h("wickra_resampler_new", FunctionDescriptor.of(ADDRESS, JAVA_LONG));
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WICKRA_RESAMPLER_UPDATE = h("wickra_resampler_update", FunctionDescriptor.of(JAVA_BYTE, ADDRESS, JAVA_DOUBLE, JAVA_DOUBLE, JAVA_DOUBLE, JAVA_DOUBLE, JAVA_DOUBLE, JAVA_LONG, ADDRESS));
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WICKRA_RESAMPLER_FLUSH = h("wickra_resampler_flush", FunctionDescriptor.of(JAVA_BYTE, ADDRESS, ADDRESS));
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WICKRA_RESAMPLER_FREE = h("wickra_resampler_free", FunctionDescriptor.ofVoid(ADDRESS));
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}
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}
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@@ -46,6 +46,33 @@ class DataLayerTest {
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return rows.toArray(new double[0][]);
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}
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@Test
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void resamplerMatchesGolden() throws IOException {
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double[][] input = read("input"); // open,high,low,close,volume (timestamp = row index)
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try (Resampler r = new Resampler(5)) {
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List<double[]> got = new ArrayList<>();
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for (int i = 0; i < input.length; i++) {
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Candle c = r.update(input[i][0], input[i][1], input[i][2], input[i][3], input[i][4], i);
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if (c != null) {
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got.add(new double[]{c.open(), c.high(), c.low(), c.close(), c.volume(), (double) c.timestamp()});
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}
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}
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Candle f = r.flush();
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if (f != null) {
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got.add(new double[]{f.open(), f.high(), f.low(), f.close(), f.volume(), (double) f.timestamp()});
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}
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double[][] want = read("data_resampled");
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assertEquals(want.length, got.size(), "resample candle count");
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for (int i = 0; i < got.size(); i++) {
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for (int j = 0; j < 6; j++) {
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double w = want[i][j];
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assertTrue(Math.abs(got.get(i)[j] - w) <= 1e-9 * Math.max(1, Math.abs(w)),
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"resample row " + i + " col " + j + ": " + got.get(i)[j] + " vs " + w);
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}
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}
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}
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}
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@Test
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void tickAggregatorMatchesGolden() throws IOException {
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double[][] ticks = read("data_ticks");
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