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Enhance Error Message for using := or let in Non-data.table-aware Environment #6019

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merged 7 commits into from
Mar 25, 2024
Merged

Enhance Error Message for using := or let in Non-data.table-aware Environment #6019

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e237b3e
adding error for when := is called in not data.table aware enviroment
Mar 23, 2024
85c6ea2
added tests
Mar 24, 2024
d43a5b2
whitespace
MichaelChirico Mar 25, 2024
b0ca57a
Update R/data.table.R
Nj221102 Mar 25, 2024
cda1064
Update tests.Rraw
Nj221102 Mar 25, 2024
cb3a8a8
sprintf() won't coerce symbol->character, do it explicitly
MichaelChirico Mar 25, 2024
dadcd59
cleanup of test, better error message test
MichaelChirico Mar 25, 2024
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4 changes: 4 additions & 0 deletions R/data.table.R
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Original file line number Diff line number Diff line change
Expand Up @@ -145,6 +145,10 @@
# the drop=NULL is to sink drop argument when dispatching to [.data.frame; using '...' stops test 147
if (!cedta()) {
# Fix for #500 (to do)
if (any(grepl(":=|let", substitute(j)))) {
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There was some discussion about tidyverse and the rlang version of :=. Another version to consider would be this :

if (substitute(j) %iscall% c(":=", "let"))

I also researched tidyverse. The above implementation should be faster and more reliable than original proposal, but it does seem unlikely for us to encounter the way := is used in dplyr.

https://dplyr.tidyverse.org/articles/programming.html

# Throw a specific error message
stopf("[ was called on a data.table in an environment that is not data.table-aware (i.e. cedta()), but ':=' or 'let' was used, implying the owner of this call really intended for data.table methods to be called. See vignette('datatable-importing') for details on properly importing data.table.")

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}
Nargs = nargs() - (!missing(drop))
ans = if (Nargs<3L) { `[.data.frame`(x,i) } # drop ignored anyway by DF[i]
else if (missing(drop)) `[.data.frame`(x,i,j)
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