examples: migrate to the native data layer (drop ws/coder-websocket/jackson/jsonlite) (#316)
Stacked on #315 (the native Binance REST fetcher). Retarget to `main` once #315 merges. Migrates the runnable examples off third-party data-I/O packages onto Wickra's native data layer (`CandleReader`, `Resampler`, `BinanceFeed`, `fetch_*klines`). ## Third-party packages removed (the zero-dep selling point) - **Node**: `ws` (live feed → BinanceFeed) — dropped from package.json + lockfile - **Go**: `github.com/coder/websocket` — dropped from go.mod / go.sum (`go mod tidy`) - **Java**: `jackson-databind` (live feed + REST fetch) — dropped from pom.xml - **R**: `jsonlite` + `websocket` + `later` — dropped from the README notes Each language's CSV loading now goes through `CandleReader`, manual resampling through `Resampler`, the live feed through `BinanceFeed`, and (Java/R) the REST download through the native fetcher. ## Verification Ran the offline examples per language against the bundled data — backtest and multi_timeframe produce identical output across Python / Node / Go / Java / R (e.g. ATR(14) last 345.1010; 1h→5m resamples to 240 bars, →15m to 80 bars). C# / C / WASM (stdlib-only, no third-party deps to remove) follow in this branch. Note: the streaming `strategy_*` examples have pre-existing candle-indicator runtime bugs (CI only syntax-smokes them); the CSV migration preserves their shape and leaves those bugs for a separate fix.
This commit is contained in:
+11
-25
@@ -44,40 +44,26 @@
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<script type="module">
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import init, {
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CandleReader,
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version, installPanicHook,
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SMA, EMA, RSI, MACD, BollingerBands, ATR, ADX, OBV,
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} from "../../bindings/wasm/pkg/wickra_wasm.js";
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const REQUIRED = ["timestamp", "open", "high", "low", "close", "volume"];
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// Parse a plain OHLCV CSV — the Wickra layout never quotes values nor
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// embeds commas in fields, so split-on-comma is a complete parse.
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function parseCsv(text) {
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const lines = text.split(/\r?\n/).filter((line) => line.length > 0);
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if (lines.length === 0) throw new Error("file is empty");
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const header = lines[0].split(",").map((s) => s.trim());
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const missing = REQUIRED.filter((c) => !header.includes(c));
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if (missing.length > 0) {
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throw new Error(
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`missing required column(s): ${missing.join(", ")}; found: ${header.join(", ")}`,
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);
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}
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if (lines.length === 1) throw new Error("CSV has a header but no data rows");
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const idx = {};
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for (const c of REQUIRED) idx[c] = header.indexOf(c);
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// Native CandleReader: header validation, BOM/whitespace tolerance. No
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// manual CSV parsing.
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const candles = new CandleReader(text).read();
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const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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for (let i = 1; i < lines.length; i++) {
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const cells = lines[i].split(",");
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for (const c of REQUIRED) {
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const v = Number(cells[idx[c]]);
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if (!Number.isFinite(v)) {
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throw new Error(
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`row ${i + 1} column '${c}' is not numeric: ${JSON.stringify(cells[idx[c]])}`,
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);
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}
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cols[c].push(v);
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}
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for (const c of candles) {
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cols.timestamp.push(c.timestamp);
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cols.open.push(c.open);
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cols.high.push(c.high);
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cols.low.push(c.low);
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cols.close.push(c.close);
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cols.volume.push(c.volume);
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}
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return cols;
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}
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@@ -46,38 +46,25 @@
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<script type="module">
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import init, {
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CandleReader, Resampler,
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version, installPanicHook,
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RSI, MACD, ADX,
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} from "../../bindings/wasm/pkg/wickra_wasm.js";
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const REQUIRED = ["timestamp", "open", "high", "low", "close", "volume"];
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const ONE_MINUTE_MS = 60_000;
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function parseCsv(text) {
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const lines = text.split(/\r?\n/).filter((l) => l.length > 0);
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if (lines.length === 0) throw new Error("file is empty");
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const header = lines[0].split(",").map((s) => s.trim());
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const missing = REQUIRED.filter((c) => !header.includes(c));
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if (missing.length > 0) {
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throw new Error(
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`missing required column(s): ${missing.join(", ")}; found: ${header.join(", ")}`,
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);
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}
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if (lines.length === 1) throw new Error("CSV has a header but no data rows");
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const idx = {};
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for (const c of REQUIRED) idx[c] = header.indexOf(c);
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// Native CandleReader: header validation, BOM/whitespace tolerance. No
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// manual CSV parsing.
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const candles = new CandleReader(text).read();
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const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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for (let i = 1; i < lines.length; i++) {
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const cells = lines[i].split(",");
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for (const c of REQUIRED) {
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const v = Number(cells[idx[c]]);
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if (!Number.isFinite(v)) {
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throw new Error(
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`row ${i + 1} column '${c}' is not numeric: ${JSON.stringify(cells[idx[c]])}`,
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);
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}
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cols[c].push(v);
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}
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for (const c of candles) {
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cols.timestamp.push(c.timestamp);
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cols.open.push(c.open);
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cols.high.push(c.high);
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cols.low.push(c.low);
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cols.close.push(c.close);
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cols.volume.push(c.volume);
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}
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return cols;
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}
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@@ -88,29 +75,23 @@
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// construction).
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function resample(cols, bucketMs) {
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if (cols.timestamp.length === 0) throw new Error("resample: empty series");
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// Native Resampler — no hand-written bucketing. update() returns a closed
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// candle on a bucket boundary; flush() yields the final partial bucket.
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const r = new Resampler(bucketMs);
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const out = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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let bucketStart = Math.floor(cols.timestamp[0] / bucketMs) * bucketMs;
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let o = cols.open[0], h = cols.high[0], l = cols.low[0],
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c = cols.close[0], v = cols.volume[0];
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for (let i = 1; i < cols.timestamp.length; i++) {
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const start = Math.floor(cols.timestamp[i] / bucketMs) * bucketMs;
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if (start === bucketStart) {
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if (cols.high[i] > h) h = cols.high[i];
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if (cols.low[i] < l) l = cols.low[i];
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c = cols.close[i];
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v += cols.volume[i];
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} else {
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out.timestamp.push(bucketStart);
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out.open.push(o); out.high.push(h); out.low.push(l);
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out.close.push(c); out.volume.push(v);
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bucketStart = start;
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o = cols.open[i]; h = cols.high[i]; l = cols.low[i];
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c = cols.close[i]; v = cols.volume[i];
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}
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const push = (k) => {
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out.timestamp.push(k.timestamp);
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out.open.push(k.open); out.high.push(k.high); out.low.push(k.low);
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out.close.push(k.close); out.volume.push(k.volume);
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};
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for (let i = 0; i < cols.timestamp.length; i++) {
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const k = r.update(cols.open[i], cols.high[i], cols.low[i],
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cols.close[i], cols.volume[i], cols.timestamp[i]);
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if (k !== null) push(k);
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}
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out.timestamp.push(bucketStart);
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out.open.push(o); out.high.push(h); out.low.push(l);
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out.close.push(c); out.volume.push(v);
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const last = r.flush();
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if (last !== null) push(last);
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r.free();
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return out;
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}
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@@ -48,7 +48,8 @@
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</p>
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<script type="module">
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import init, { version, installPanicHook, BollingerBands, ATR } from "../../bindings/wasm/pkg/wickra_wasm.js";
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import init, {
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CandleReader, version, installPanicHook, BollingerBands, ATR } from "../../bindings/wasm/pkg/wickra_wasm.js";
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const FEE = 0.001;
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const BB_PERIOD = 20;
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@@ -56,29 +57,19 @@
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const ATR_PERIOD = 14;
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const ATR_STOP_MULT = 2.0;
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const SQUEEZE_LOOKBACK = 180;
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const REQUIRED = ["timestamp", "open", "high", "low", "close", "volume"];
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function parseCsv(text) {
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const lines = text.split(/\r?\n/).filter((line) => line.length > 0);
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if (lines.length === 0) throw new Error("file is empty");
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const header = lines[0].split(",").map((s) => s.trim());
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const missing = REQUIRED.filter((c) => !header.includes(c));
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if (missing.length > 0) {
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throw new Error(`missing required column(s): ${missing.join(", ")}; found: ${header.join(", ")}`);
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}
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if (lines.length === 1) throw new Error("CSV has a header but no data rows");
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const idx = {};
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for (const c of REQUIRED) idx[c] = header.indexOf(c);
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const cols = { open: [], high: [], low: [], close: [], volume: [] };
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for (let i = 1; i < lines.length; i++) {
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const cells = lines[i].split(",");
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for (const c of ["open", "high", "low", "close", "volume"]) {
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const v = Number(cells[idx[c]]);
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if (!Number.isFinite(v)) {
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throw new Error(`row ${i + 1} column '${c}' is not numeric: ${JSON.stringify(cells[idx[c]])}`);
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}
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cols[c].push(v);
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}
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// Native CandleReader: header validation, BOM/whitespace tolerance. No
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// manual CSV parsing.
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const candles = new CandleReader(text).read();
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const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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for (const c of candles) {
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cols.timestamp.push(c.timestamp);
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cols.open.push(c.open);
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cols.high.push(c.high);
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cols.low.push(c.low);
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cols.close.push(c.close);
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cols.volume.push(c.volume);
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}
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return cols;
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}
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@@ -47,33 +47,24 @@
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</p>
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<script type="module">
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import init, { version, installPanicHook, MACD, ADX } from "../../bindings/wasm/pkg/wickra_wasm.js";
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import init, {
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CandleReader, version, installPanicHook, MACD, ADX } from "../../bindings/wasm/pkg/wickra_wasm.js";
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const FEE = 0.001;
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const ADX_FLOOR = 20.0;
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const REQUIRED = ["timestamp", "open", "high", "low", "close", "volume"];
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function parseCsv(text) {
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const lines = text.split(/\r?\n/).filter((line) => line.length > 0);
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if (lines.length === 0) throw new Error("file is empty");
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const header = lines[0].split(",").map((s) => s.trim());
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const missing = REQUIRED.filter((c) => !header.includes(c));
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if (missing.length > 0) {
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throw new Error(`missing required column(s): ${missing.join(", ")}; found: ${header.join(", ")}`);
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}
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if (lines.length === 1) throw new Error("CSV has a header but no data rows");
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const idx = {};
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for (const c of REQUIRED) idx[c] = header.indexOf(c);
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const cols = { open: [], high: [], low: [], close: [], volume: [] };
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for (let i = 1; i < lines.length; i++) {
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const cells = lines[i].split(",");
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for (const c of ["open", "high", "low", "close", "volume"]) {
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const v = Number(cells[idx[c]]);
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if (!Number.isFinite(v)) {
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throw new Error(`row ${i + 1} column '${c}' is not numeric: ${JSON.stringify(cells[idx[c]])}`);
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}
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cols[c].push(v);
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}
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// Native CandleReader: header validation, BOM/whitespace tolerance. No
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// manual CSV parsing.
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const candles = new CandleReader(text).read();
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const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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for (const c of candles) {
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cols.timestamp.push(c.timestamp);
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cols.open.push(c.open);
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cols.high.push(c.high);
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cols.low.push(c.low);
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cols.close.push(c.close);
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cols.volume.push(c.volume);
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}
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return cols;
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}
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@@ -48,37 +48,28 @@
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</p>
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<script type="module">
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import init, { version, installPanicHook, RSI } from "../../bindings/wasm/pkg/wickra_wasm.js";
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import init, {
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CandleReader, version, installPanicHook, RSI } from "../../bindings/wasm/pkg/wickra_wasm.js";
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const FEE = 0.001;
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const RSI_PERIOD = 14;
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const OVERSOLD = 30.0;
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const OVERBOUGHT = 70.0;
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const REQUIRED = ["timestamp", "open", "high", "low", "close", "volume"];
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// Plain OHLCV CSV — the Wickra layout never quotes values nor embeds commas,
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// so split-on-comma is a complete parse.
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function parseCsv(text) {
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const lines = text.split(/\r?\n/).filter((line) => line.length > 0);
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if (lines.length === 0) throw new Error("file is empty");
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const header = lines[0].split(",").map((s) => s.trim());
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const missing = REQUIRED.filter((c) => !header.includes(c));
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if (missing.length > 0) {
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throw new Error(`missing required column(s): ${missing.join(", ")}; found: ${header.join(", ")}`);
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}
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if (lines.length === 1) throw new Error("CSV has a header but no data rows");
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const idx = {};
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for (const c of REQUIRED) idx[c] = header.indexOf(c);
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const cols = { open: [], high: [], low: [], close: [], volume: [] };
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for (let i = 1; i < lines.length; i++) {
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const cells = lines[i].split(",");
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for (const c of ["open", "high", "low", "close", "volume"]) {
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const v = Number(cells[idx[c]]);
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if (!Number.isFinite(v)) {
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throw new Error(`row ${i + 1} column '${c}' is not numeric: ${JSON.stringify(cells[idx[c]])}`);
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}
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cols[c].push(v);
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}
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// Native CandleReader: header validation, BOM/whitespace tolerance. No
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// manual CSV parsing.
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const candles = new CandleReader(text).read();
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const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
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for (const c of candles) {
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cols.timestamp.push(c.timestamp);
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cols.open.push(c.open);
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cols.high.push(c.high);
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cols.low.push(c.low);
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cols.close.push(c.close);
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cols.volume.push(c.volume);
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}
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return cols;
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}
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Reference in New Issue
Block a user