Retrieve the most recent commit that added or updated a file or git2rdata object. This does not imply that file still exists at the current HEAD as it ignores the deletion of files.
Use this information to document the current version of file or git2rdata
object in an analysis. Since it refers to the most recent change of this
file, it remains unchanged by committing changes to other files. You can
also use it to track if data got updated, requiring an analysis to
be rerun. See vignette("workflow", package = "git2rdata")
.
Arguments
- file
the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path.
file
is a path relative to theroot
. Note thatfile
must point to a location withinroot
.- root
The root of a project. Can be a file path or a
git-repository
.- data
does
file
refers to a data object (TRUE
) or to a file (FALSE
)? Defaults toFALSE
.
Value
a data.frame
with commit
, author
and when
for the most recent
commit that adds op updates the file.
See also
Other version_control:
commit()
,
pull()
,
push()
,
repository()
,
status()
Examples
# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "alice@example.org")
# write and commit a first dataframe
# store the output of write_vc() minimize screen output
junk <- write_vc(iris[1:6, ], "iris", repo, sorting = "Sepal.Length",
stage = TRUE)
commit(repo, "important analysis", session = TRUE)
#> [16d1eac] 2024-09-06: important analysis
list.files(repo_path)
#> [1] "iris.tsv" "iris.yml"
Sys.sleep(1.1) # required because git doesn't handle subsecond timings
# write and commit a second dataframe
junk <- write_vc(iris[7:12, ], "iris2", repo, sorting = "Sepal.Length",
stage = TRUE)
commit(repo, "important analysis", session = TRUE)
#> [f61362d] 2024-09-06: important analysis
list.files(repo_path)
#> [1] "iris.tsv" "iris.yml" "iris2.tsv" "iris2.yml"
Sys.sleep(1.1) # required because git doesn't handle subsecond timings
# write and commit a new version of the first dataframe
junk <- write_vc(iris[7:12, ], "iris", repo, stage = TRUE)
list.files(repo_path)
#> [1] "iris.tsv" "iris.yml" "iris2.tsv" "iris2.yml"
commit(repo, "important analysis", session = TRUE)
#> [2871bab] 2024-09-06: important analysis
# find out in which commit a file was last changed
# "iris.tsv" was last updated in the third commit
recent_commit("iris.tsv", repo)
#> commit author when
#> 1 2871babc617693fb1ba0e0fd11d9b3b1819a4a1a Alice 2024-09-06 12:32:55
# "iris.yml" was last updated in the first commit
recent_commit("iris.yml", repo)
#> commit author when
#> 1 2871babc617693fb1ba0e0fd11d9b3b1819a4a1a Alice 2024-09-06 12:32:55
# "iris2.yml" was last updated in the second commit
recent_commit("iris2.yml", repo)
#> commit author when
#> 1 f61362d220e43392e4964d067f265dd4d7656cd2 Alice 2024-09-06 12:32:54
# the git2rdata object "iris" was last updated in the third commit
recent_commit("iris", repo, data = TRUE)
#> commit author when
#> 1 2871babc617693fb1ba0e0fd11d9b3b1819a4a1a Alice 2024-09-06 12:32:55
# remove a dataframe and commit it to see what happens with deleted files
file.remove(file.path(repo_path, "iris.tsv"))
#> [1] TRUE
prune_meta(repo, ".")
commit(repo, message = "remove iris", all = TRUE, session = TRUE)
#> [7be00cf] 2024-09-06: remove iris
list.files(repo_path)
#> [1] "iris2.tsv" "iris2.yml"
# still points to the third commit as this is the latest commit in which the
# data was present
recent_commit("iris", repo, data = TRUE)
#> commit author when
#> 1 2871babc617693fb1ba0e0fd11d9b3b1819a4a1a Alice 2024-09-06 12:32:55