ts/README.Rmd
2024-07-24 10:24:46 +12:00

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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# ts
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The **ts** package makes it easy for users to write functions that can be used in **rserve-ts** applications.
## Installation
You can install the development version of ts from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("tmelliott/ts")
```
## Example
Writing functions is easy, just use the `ts_*()` functions to define formals and return types.
```r
library(ts)
app <- ts_app(
add = ts_fun(
function(x, y) {
x + y
},
x = ts_number(),
y = ts_number(),
# ideally this will use a generic type where x OR y can be vectors
# and, if one is a vector, the return type will be a vector too...
result = ts_number()
),
sample = ts_fun(
function(x, n) {
sample(x, n)
},
x = ts_character_vector(),
n = ts_integer(),
result = ts_condition(n,
1 = ts_character(),
ts_character_vector()
)
)
)
ts_compile(app)
```
This will generate the following rserve-ts function definitions:
```typescript
import { types as R } from "rserve-ts";
export const app = {
add: z.function(
z.tuple([z.number(), z.number()]),
z.promise(R.numeric(1))
),
sample: z.function(
z.tuple([z.character_vector(), z.integer()]),
z.promise(R.character())
)
};
```
which will generate the following types:
```typescript
type App = {
add: (x: number, y: number) => Promise<{ data: number }>;
sample: (x: string[], n: number) => Promise<{ data: string | string[] }>;
// or, if possible, even better:
sample: <N extends number>(x: string[], n: N) =>
Promise<{ data: N extends 1 ? string : string[] }>;
};
```
## State of the project
Here's what's currently working:
```{r}
library(ts)
myfun <- ts_function(mean, x = ts_numeric(), result = ts_numeric())
ts_compile(myfun)
```