kingchenc
5b7523265c
## Problem
The R package built **only** inside the dev/CI workspace. `src/Makevars` and `configure.win` hard-required `WICKRA_INCLUDE_DIR` / `WICKRA_LIB_DIR` pointing at a pre-built `libwickra` (`configure.win` literally `: "${WICKRA_LIB_DIR:?...}"`), and there was no Unix `configure`. So **r-universe** and any plain `install.packages` / `install_github` failed — R had no working end-user install path.
## Fix
Fetch the prebuilt `wickra-c-<triple>.tar.gz` release asset matching the package version at install time and bundle the library into the package (same outcome as the C# / Java bindings, which bundle per-platform native libs):
- **New POSIX `configure`** (the Unix hook R lacked): detect OS/arch → triple, download + `untar` via **base R** (no curl/wget system dep), stage `wickra.h` + `libwickra.{so,dylib}` into `src/`, generate `src/Makevars` from `Makevars.in` with an rpath (`$ORIGIN` Linux, `@loader_path` + `install_name_tool` macOS) so the bundled lib resolves post-install.
- **`configure.win`**: drop the hard `WICKRA_LIB_DIR` requirement; download the Windows triple when unset, then keep the existing `wickra_abi.dll` rename + `objdump`/`dlltool` import-lib dance (sourcing the dll/header from the asset).
- **`install.libs.R`** also bundles `libwickra.dylib` (macOS); the `*.so`/`*.dll` globs already covered Linux/Windows.
- `WICKRA_INCLUDE_DIR`/`WICKRA_LIB_DIR` stay as an optional **dev override**.
- **CI (3 OS)** keeps building against the locally built C ABI (version-independent — avoids the chicken-egg of downloading the in-flight version) but **no longer exports `LD_LIBRARY_PATH`/`DYLD_LIBRARY_PATH`**, so it now verifies the bundled rpath — the real self-contained path users and r-universe get.
`Makevars` is now generated from `Makevars.in`; `SystemRequirements` + ignore/attributes files updated.
## Validation
- The Windows `objdump`/`dlltool` import-lib dance was smoke-tested locally against the real v0.7.9 asset (2412 `wickra_` exports → import lib built).
- Linux/macOS rpath bundling can't be tested on this Windows host → **the 3-OS `r` CI job is the gate** (now without the loader-path mask).
- Follow-up (separate, after release): set up `wickra-lib/wickra-lib.r-universe.dev` (`packages.json` → `bindings/r`).
Closes the R half of the self-contained-distribution gap (`todo-10`).
Wickra — R
Streaming-first technical indicators for R, over the Wickra C ABI hub via .Call.
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go, Java, R
and any other C-capable language. Every indicator is an O(1) streaming state
machine, so live trading and historical backtests share the exact same
implementation. This package is the R binding; it reaches the C ABI hub through
R's native .Call interface and exposes all 514 indicators as constructors that
return a lightweight wickra_indicator object.
Install
The package compiles a thin C glue layer (.Call) against the prebuilt Wickra
C ABI library, so a C toolchain (Rtools on Windows) is required, plus the C ABI
header and library. Build the library from the workspace, then install the
package pointing at it:
cargo build -p wickra-c --release
WICKRA_INCLUDE_DIR="$PWD/bindings/c/include" \
WICKRA_LIB_DIR="$PWD/target/release" \
R CMD INSTALL bindings/r
On Windows the C ABI DLL is bundled into the package and put on the load path automatically; on Linux and macOS the library path is baked in via rpath.
Quick start
library(wickra)
# Batch: run an indicator over a whole series (NaN at warmup positions).
prices <- 100 + (0:999) * 0.1
sma <- Sma(20)
values <- batch(sma, prices)
# Streaming: the same indicator, fed one observation at a time in O(1).
rsi <- Rsi(14)
for (price in prices) {
v <- update(rsi, price) # NaN during warmup
if (!is.na(v) && v > 70) message("overbought")
}
# Multi-output indicators return a named vector (NA while warming up).
macd <- MacdIndicator(12, 26, 9)
update(macd, 42) # c(macd = NA, signal = NA, histogram = NA)
batch(ind, prices) and feeding the same prices through update() produce
identical values — the equivalence is enforced by the test suite. Candle-input
indicators take the OHLCV fields plus a timestamp, e.g.
update(atr, open, high, low, close, volume, timestamp). The native handle is
freed automatically when the object is garbage-collected.
Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in the main repository and documentation site:
- Repository & full indicator list: https://github.com/wickra-lib/wickra
- Docs (quickstarts, cookbook, TA-Lib migration): https://docs.wickra.org
- Runnable examples:
examples/r/
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
all exposing the same indicators from the shared, unsafe-forbidden Rust core.
Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes are deterministic transforms of the input data — they are not financial advice and do not predict the market. Any use in a live trading context is at your own risk. The library is provided as is, without warranty of any kind.
License
Licensed under either of Apache-2.0 or MIT at your option.