Cannot detect custom function arguments

[psychelzh]

See the following example. When translating custom function, the argument g is ignored. Will it be supported?

set.seed(1)
data <- data.frame(g = LETTERS[1:2], x = runif(2))
f <- function(x, g = NULL) {
    x |> 
        dplyr::group_by(dplyr::across(dplyr::all_of(g))) |> 
        dplyr::summarise(mean_x = mean(.data[["x"]]))
}
f(data)
#> # A tibble: 1 x 1
#>   mean_x
#>    <dbl>
#> 1  0.319
data |> 
    dtplyr::lazy_dt() |> 
    f()
#> Error: object 'g' not found
#> Caused by error in `dplyr::all_of()`:
#>   object 'g' not found
f(data, g = "g")
#> # A tibble: 2 x 2
#>   g     mean_x
#>   <chr>  <dbl>
#> 1 A      0.266
#> 2 B      0.372
data |> 
    dtplyr::lazy_dt() |> 
    f(g = "g")
#> Error: object 'g' not found
#> Caused by error in `dplyr::all_of()`:
#>   object 'g' not found

^{Created on 2021-12-06 by the reprex package (v2.0.1)}

Session info

sessioninfo::session_info()
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#> ------------------------------------------------------------------------------

[psychelzh]

@markfairbanks Still fails in such circumstances (seemingly, function calls in functions can not access environment variables, either):

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(dtplyr)
f <- function(x, y, .v = "x") {
  inner_join(
    mutate(x, a = .v),
    y,
    by = character()
  )
}
x <- data.frame(a = "y")
y <- data.frame(b = "x")
f(x, y)
#>   a b
#> 1 x x
lazy_dt(x) |> 
  f(y)
#> Error in .checkTypos(e, names_x): Object '.v' not found. Perhaps you intended .cross_join_col

^{Created on 2022-08-15 by the reprex package (v2.0.1)}