lifecycle: Manage the Life Cycle of your Package Functions
Description
Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
Author(s)
Maintainer: Lionel Henry lionel@rstudio.com
Authors:
Hadley Wickham hadley@rstudio.com (ORCID)
Other contributors:
RStudio [copyright holder, funder]
See Also
Useful links:
Report bugs at https://github.com/r-lib/lifecycle/issues
Embed a lifecycle badge in documentation
Description
To include lifecycle badges in your documentation:
Call
usethis::use_lifecycle()to copy the badge images into theman/folder of your package.Call
lifecycle::badge()inside R backticks to insert a lifecycle badge:#' `r lifecycle::badge("experimental")` #' `r lifecycle::badge("deprecated")` #' `r lifecycle::badge("superseded")`If the deprecated feature is a function, a good place for this badge is at the top of the topic description. If it is an argument, you can put the badge in the argument description.
The badge is displayed as an image in the HTML version of the documentation and as text otherwise.
lifecycle::badge() is run by roxygen at build time so you don't need
to add lifecycle to Imports: just to use the badges. However, it's still
good practice to add to Suggests: so that it will be available to
package developers.
Usage
badge(stage)
Arguments
stage
A lifecycle stage as a string. Must be one of
"experimental", "stable", "superseded", or "deprecated".
Value
An Rd expression describing the lifecycle stage.
Badges
The meaning of these stages is described in
vignette("stages").
Deprecate functions and arguments
Description
These functions provide three levels of verbosity for deprecated
functions. Learn how to use them in vignette("communicate").
-
deprecate_soft()warns only if the deprecated function is called directly, i.e. a user is calling a function they wrote in the global environment or a developer is calling it in their package. It does not warn when called indirectly, i.e. the deprecation comes from code that you don't control. -
deprecate_warn()warns unconditionally. -
deprecate_stop()fails unconditionally.
Warnings are only issued once every 8 hours to avoid overwhelming
the user. Control with options(lifecycle_verbosity) .
Usage
deprecate_soft(
when,
what,
with = NULL,
details = NULL,
id = NULL,
env = caller_env(),
user_env = caller_env(2)
)
deprecate_warn(
when,
what,
with = NULL,
details = NULL,
id = NULL,
always = FALSE,
env = caller_env(),
user_env = caller_env(2)
)
deprecate_stop(when, what, with = NULL, details = NULL, env = caller_env())
Arguments
when
A string giving the version when the behaviour was deprecated.
what
A string describing what is deprecated:
Deprecate a whole function with
"foo()".Deprecate an argument with
"foo(arg)".Partially deprecate an argument with
"foo(arg = 'must be a scalar integer')".Deprecate anything else with a custom message by wrapping it in
I().
You can optionally supply the namespace: "ns::foo()", but this is
usually not needed as it will be inferred from the caller environment.
with
An optional string giving a recommended replacement for the
deprecated behaviour. This takes the same form as what.
details
In most cases the deprecation message can be
automatically generated from with. When it can't, use details
to provide a hand-written message.
details can either be a single string or a character vector,
which will be converted to a bulleted list.
By default, info bullets are used. Provide a named vectors to
override.
id
The id of the deprecation. A warning is issued only once
for each id. Defaults to the generated message, but you should
give a unique ID when the message in details is built
programmatically and depends on inputs, or when you'd like to
deprecate multiple functions but warn only once for all of them.
env, user_env
Pair of environments that define where deprecate_*()
was called (used to determine the package name) and where the function
called the deprecating function was called (used to determine if
deprecate_soft() should message).
These are only needed if you're calling deprecate_*() from an internal
helper, in which case you should forward env = caller_env() and
user_env = caller_env(2).
always
If FALSE, the default, will warn every 8 hours. If
TRUE, will always warn in direct usages. Indirect usages keep
warning every 8 hours to avoid disrupting users who can't fix the
issue. Only use always = TRUE after at least one release with
the default.
Value
NULL, invisibly.
Conditions
Deprecation warnings have class
lifecycle_warning_deprecated.Deprecation errors have class
lifecycle_error_deprecated.
See Also
Examples
# A deprecated function `foo`:
deprecate_warn("1.0.0", "foo()")
# A deprecated argument `arg`:
deprecate_warn("1.0.0", "foo(arg)")
# A partially deprecated argument `arg`:
deprecate_warn("1.0.0", "foo(arg = 'must be a scalar integer')")
# A deprecated function with a function replacement:
deprecate_warn("1.0.0", "foo()", "bar()")
# A deprecated function with a function replacement from a
# different package:
deprecate_warn("1.0.0", "foo()", "otherpackage::bar()")
# A deprecated function with custom message:
deprecate_warn(
when = "1.0.0",
what = "foo()",
details = "Please use `otherpackage::bar(foo = TRUE)` instead"
)
# A deprecated function with custom bulleted list:
deprecate_warn(
when = "1.0.0",
what = "foo()",
details = c(
x = "This is dangerous",
i = "Did you mean `safe_foo()` instead?"
)
)
Mark an argument as deprecated
Description
Signal deprecated argument by using self-documenting sentinel
deprecated() as default argument. Test whether the caller has
supplied the argument with is_present().
Usage
deprecated()
is_present(arg)
Arguments
arg
A deprecated() function argument.
Magical defaults
We recommend importing lifecycle::deprecated() in your namespace
and use it without the namespace qualifier.
In general, we advise against such magical defaults, i.e. defaults
that cannot be evaluated by the user. In the case of
deprecated(), the trade-off is worth it because the meaning of
this default is obvious and there is no reason for the user to call
deprecated() themselves.
Examples
foobar_adder <- function(foo, bar, baz = deprecated()) {
# Check if user has supplied `baz` instead of `bar`
if (lifecycle::is_present(baz)) {
# Signal the deprecation to the user
deprecate_warn("1.0.0", "foo::bar_adder(baz = )", "foo::bar_adder(bar = )")
# Deal with the deprecated argument for compatibility
bar <- baz
}
foo + bar
}
foobar_adder(1, 2)
foobar_adder(1, baz = 2)
Does expression produce lifecycle warnings or errors?
Description
These functions are equivalent to testthat::expect_warning() and
testthat::expect_error() but check specifically for lifecycle
warnings or errors.
To test whether a deprecated feature still works without causing a
deprecation warning, set the lifecycle_verbosity option to
"quiet".
test_that("feature still works", {
withr::local_options(lifecycle_verbosity = "quiet")
expect_true(my_deprecated_function())
})
Usage
expect_deprecated(expr, regexp = NULL, ...)
expect_defunct(expr)
Arguments
expr
Expression that should produce a lifecycle warning or error.
regexp
Optional regular expression matched against the expected warning message.
...
Arguments passed on to expect_match
fixedIf
TRUE, treatsregexpas a string to be matched exactly (not a regular expressions). Overridesperl.perllogical. Should Perl-compatible regexps be used?
Details
expect_deprecated() sets the lifecycle_verbosity
option to "warning" to enforce deprecation warnings which are
otherwise only shown once every 8 hours.
Display last deprecation warnings
Description
last_lifecycle_warnings() returns a list of all warnings that
occurred during the last top-level R command, along with a
backtrace.
Use print(last_lifecycle_warnings(), simplify = level) to control
the verbosity of the backtrace. The simplify argument supports
one of "branch" (the default), "collapse", and "none" (in
increasing order of verbosity).
Usage
last_lifecycle_warnings()
Examples
# These examples are not run because `last_lifecycle_warnings()` does not
# work well within knitr and pkgdown
## Not run:
f <- function() invisible(g())
g <- function() list(h(), i())
h <- function() deprecate_warn("1.0.0", "this()")
i <- function() deprecate_warn("1.0.0", "that()")
f()
# Print all the warnings that occurred during the last command:
last_lifecycle_warnings()
# By default, the backtraces are printed in their simplified form.
# Use `simplify` to control the verbosity:
print(last_lifecycle_warnings(), simplify = "none")
## End(Not run)
Lint usages of functions that have a non-stable life cycle.
Description
-
lint_lifecycledynamically queries the package documentation for packages inpackagesfor lifecycle annotations and then searches the directory inpathfor usages of those functions. -
lint_tidyverse_lifecycleis a convenience function to calllint_lifecyclefor all the packages in the tidyverse. -
pkg_lifecycle_statusesreturns a data frame of functions with lifecycle annotations for an installed package.
Usage
pkg_lifecycle_statuses(
package,
which = c("superseded", "deprecated", "questioning", "defunct", "experimental",
"soft-deprecated", "retired")
)
lint_lifecycle(
packages,
path = ".",
pattern = "[.][Rr](md)?",
which = c("superseded", "deprecated", "questioning", "defunct", "experimental",
"soft-deprecated", "retired")
)
lint_tidyverse_lifecycle(
path = ".",
pattern = "[.][Rr](md)?",
which = c("superseded", "deprecated", "questioning", "defunct", "experimental",
"soft-deprecated", "retired")
)
Arguments
package
The name of an installed package.
which
The lifecycle statuses to retrieve.
Include NA if you want to include functions without a specified lifecycle
status in the results.
packages
One or more installed packages to query for lifecycle statuses.
path
The directory path to the files you want to search.
pattern
Any files matching this pattern will be searched. The default
searches any files ending in .R or .Rmd.
Deprecated funtions for signalling experimental and lifecycle stages
Description
Please use signal_stage() instead
Usage
signal_experimental(when, what, env = caller_env())
signal_superseded(when, what, env = caller_env())
Signal other experimental or superseded features
Description
signal_stage() allows you to signal life cycle stages other than
deprecation (for which you should use deprecate_warn() and friends).
There is no behaviour associated with this signal, but in the future
we will provide tools to log and report on usage of experimental and
superseded functions.
Usage
signal_stage(stage, what, with = NULL, env = caller_env())
Arguments
stage
Life cycle stage, either "experimental" or "superseded".
what
String describing what feature the stage applies too, using
the same syntax as deprecate_warn() .
with
An optional string giving a recommended replacement for a superseded function.
env
Environment used to determine where signal_stage()
was called, used to determine the package name).
Examples
foofy <- function(x, y, z) {
signal_stage("experimental", "foofy()")
x + y / z
}
foofy(1, 2, 3)
Control the verbosity of deprecation signals
Description
There are 3 levels of verbosity for deprecated functions: silence, warning, and error. Since the lifecycle package avoids disruptive warnings, the default level of verbosity depends on the lifecycle stage of the deprecated function, on the context of the caller (global environment or testthat unit tests cause more warnings), and whether the warning was already issued (see the help for deprecation functions).
You can control the level of verbosity with the global option
lifecycle_verbosity. It can be set to:
-
"quiet"to suppress all deprecation messages. -
"default"orNULLto warn once every 8 hours. -
"warning"to warn every time. -
"error"to error instead of warning.
Note that functions calling deprecate_stop() invariably throw
errors.
Examples
if (rlang::is_installed("testthat")) {
library(testthat)
mytool <- function() {
deprecate_soft("1.0.0", "mytool()")
10 * 10
}
# Forcing the verbosity level is useful for unit testing. You can
# force errors to test that the function is indeed deprecated:
test_that("mytool is deprecated", {
rlang::local_options(lifecycle_verbosity = "error")
expect_error(mytool(), class = "defunctError")
})
# Or you can enforce silence to safely test that the function
# still works:
test_that("mytool still works", {
rlang::local_options(lifecycle_verbosity = "quiet")
expect_equal(mytool(), 100)
})
}