Assess the impact of changing one graph node — change

Finds direct or transitive callers of a node, highlights exported APIs reached through those callers, and reports static risk signals that should shape the validation plan.

Usage

change_impact(graph, name, transitive = TRUE)

Arguments

graph: An insider_graph object, a source directory, or an installed package name.
name: Exact node name to look up.
transitive: If TRUE, recursively walk callers to find all upstream callers in the graph. If FALSE, report only direct callers.

Value

An insider_change_impact object.

Examples

dir <- tempfile()
dir.create(dir)
writeLines("a <- function() b()\nb <- function() c()\nc <- function() 1", file.path(dir, "code.R"))
g <- build_graph(dir, cache = FALSE)
change_impact(g, "c")
#> 
#> ── c ───────────────────────────────────────────────────────────────────────────
#> Kind: function | export status unknown | Risk: medium
#> Callers
#> Exported: none
#> Internal: a, b
#> Total distinct callers: 2
#> Method family
#> not identified as an S3 method
#> Related tests
#> none
#> Risk notes
#> • none identified
#> Validation commands
#> • R CMD check