Files
wickra/bindings/go/data_layer_test.go
kingchenc d362ae26a3 feat(data): expose CandleReader (CSV) natively in all 10 languages (#311)
Add the data-layer CSV candle reader to every binding so loading OHLCV
candles from a CSV no longer needs a per-language CSV/dataframe dependency.

- C ABI: wickra_candle_reader_new(bytes, len) / _count / _read / _free over
  an opaque CandleReader handle (parse the whole buffer up front, then drain).
- Native: Node/WASM CandleReader.read() -> Candle[], Python read() -> list[tuple].
- C-ABI languages: Go Read() []Candle, C# Candle[] Read(), Java Candle[] read(),
  R read() S3 generic (n x 6 matrix); C / C++ call the C ABI directly.
- Cross-language golden testdata/golden/data_csv*.csv pins the parsed candles
  bit-for-bit across every binding.

Verified locally across Rust (test+clippy+fmt), Node, WASM, Python, C#, Go,
Java, R, and the C/C++ cmake parity suite.
2026-06-16 00:10:58 +02:00

120 lines
3.3 KiB
Go

package wickra
import (
"math"
"os"
"strconv"
"testing"
)
// Cross-language data-layer parity: replay the shared golden tick stream through
// the TickAggregator and assert the candles match the Rust reference, with and
// without gap filling. Fixtures are generated by
// `cargo run -p wickra-examples --bin gen_golden`.
func dataParseF(t *testing.T, s string) float64 {
t.Helper()
v, err := strconv.ParseFloat(s, 64)
if err != nil {
t.Fatalf("parse %q: %v", s, err)
}
return v
}
func TestResamplerGolden(t *testing.T) {
input := readGolden(t, "input") // open,high,low,close,volume (timestamp = row index)
r, err := NewResampler(5)
if err != nil {
t.Fatalf("new: %v", err)
}
var got [][6]float64
for i, row := range input {
o, h, l, c, v := dataParseF(t, row[0]), dataParseF(t, row[1]), dataParseF(t, row[2]), dataParseF(t, row[3]), dataParseF(t, row[4])
if k, ok := r.Update(o, h, l, c, v, int64(i)); ok {
got = append(got, [6]float64{k.Open, k.High, k.Low, k.Close, k.Volume, float64(k.Timestamp)})
}
}
if k, ok := r.Flush(); ok {
got = append(got, [6]float64{k.Open, k.High, k.Low, k.Close, k.Volume, float64(k.Timestamp)})
}
r.Close()
want := readGolden(t, "data_resampled")
if len(got) != len(want) {
t.Fatalf("resample: %d candles vs %d", len(got), len(want))
}
for i := range got {
for j := 0; j < 6; j++ {
w := dataParseF(t, want[i][j])
if math.Abs(got[i][j]-w) > 1e-9*math.Max(1, math.Abs(w)) {
t.Errorf("resample row %d col %d: %v vs %v", i, j, got[i][j], w)
}
}
}
}
func TestCandleReaderGolden(t *testing.T) {
csv, err := os.ReadFile("../../testdata/golden/data_csv.csv")
if err != nil {
t.Fatalf("read data_csv.csv: %v", err)
}
r, err := NewCandleReader(string(csv))
if err != nil {
t.Fatalf("new: %v", err)
}
defer r.Close()
candles := r.Read()
got := make([][6]float64, len(candles))
for i, c := range candles {
got[i] = [6]float64{c.Open, c.High, c.Low, c.Close, c.Volume, float64(c.Timestamp)}
}
want := readGolden(t, "data_csv_candles")
if len(got) != len(want) {
t.Fatalf("candle reader: %d candles vs %d", len(got), len(want))
}
for i := range got {
for j := 0; j < 6; j++ {
w := dataParseF(t, want[i][j])
if math.Abs(got[i][j]-w) > 1e-9*math.Max(1, math.Abs(w)) {
t.Errorf("candle reader row %d col %d: %v vs %v", i, j, got[i][j], w)
}
}
}
}
func TestTickAggregatorGolden(t *testing.T) {
ticks := readGolden(t, "data_ticks")
cases := []struct {
gap bool
fixture string
}{
{false, "data_candles"},
{true, "data_candles_gap"},
}
for _, c := range cases {
agg, err := NewTickAggregator(1000, c.gap)
if err != nil {
t.Fatalf("new: %v", err)
}
var got [][6]float64
for _, r := range ticks {
price, size, ts := dataParseF(t, r[0]), dataParseF(t, r[1]), int64(dataParseF(t, r[2]))
for _, k := range agg.Push(price, size, ts) {
got = append(got, [6]float64{k.Open, k.High, k.Low, k.Close, k.Volume, float64(k.Timestamp)})
}
}
agg.Close()
want := readGolden(t, c.fixture)
if len(got) != len(want) {
t.Fatalf("%s: %d candles vs %d", c.fixture, len(got), len(want))
}
for i := range got {
for j := 0; j < 6; j++ {
w := dataParseF(t, want[i][j])
if math.Abs(got[i][j]-w) > 1e-9*math.Max(1, math.Abs(w)) {
t.Errorf("%s row %d col %d: %v vs %v", c.fixture, i, j, got[i][j], w)
}
}
}
}
}