View source: R/convertToPackage.R
convertToPackage | R Documentation |
EXPERIMENTAL – USE WITH CAUTION. This function attempts to convert a
SpaDES module to the closest rendition of the same functionality, but in an
R package. The main change is that instead of SpaDES.core
parsing the functions
using custom parsing tools, it will use pkgload::load_all
on the package functions.
These
convertToPackage(
module = NULL,
path = getOption("spades.modulePath"),
buildDocuments = TRUE
)
module |
Character string of module name, without path |
path |
Character string of |
buildDocuments |
A logical. If |
convertToPackage
will:
move any functions that were defined within the main module file
(moduleName.R
) into the R folder, with the same name, but ending with Fns.R
;
keep the defineModule(...)
function call with all the metadata in
the same file, moduleName.R
, but with all other content removed,
i.e., only the defineModule(...)
will be here.
build documentation from all the roxygen2 tags
places one roxygen2 tag, @export
in front of the doEvent.moduleName
function, so that the function can be found by SpaDES.core
All other functions will be kept "private", i.e., not exported, unless
the user manually adds @export
, as per a normal package
will make a DESCRIPTION
file from the SpaDES module metadata
will make a NAMESPACE
file from the roxygen2 tags (e.g., @export
)
A user can continue to use the module code as before, i.e., by editing it and
putting browser()
etc. It will be parsed during simInit
. Because the functions
are "in a package", they are automatically namespaced with each other, so that
when you want to use a function from that package, there is no need to put a
prefix with the package name.
This function does not install anything (e.g., devtools::install
). After
running this function, simInit
will automatically detect that this is now
a package and will load the functions (via pkgload::load_all
) from the source files.
This will have the effect that it emulates the "non-package" behaviour of a
SpaDES module exactly. After running this function, current tests show no
impact on module behaviour, other than event-level and module-level Caching will show
changes and will be rerun. Function-level Caching appears unaffected.
In other words, this should cause no changes to running the module code via
simInit
and spades
.
This function will create
and fill a minimal DESCRIPTION
file. This will leave the defineModule
function call as the only code in the main module file. This defineModule
and a doEvent.xxx
are the only 2 elements that are required for an R
package to be considered a SpaDES module. With these changes, the module should
still function normally, but will be able to act like an
R package, e.g., for writing function documentation with roxygen2
,
using the testthat
infrastructure, etc.
This function is intended to be run once for a module that was created using
the "standard" SpaDES module structure (e.g., from a newModule
call). There
is currently no way to "revert" the changes from R (though it can be done using
version control utilities if all files are under version control, e.g., GitHub).
Currently SpaDES.core
identifies a module as being a package if it has
a DESCRIPTION
file, or if it has been installed to the .libPaths()
e.g., via devtools::install
or the like. So one can simply remove the
package from .libPaths
and delete the DESCRIPTION
file and
SpaDES.core
will treat it as a normal module.
Invoked for its side effects. There will be a new or modified
DESCRIPTION
file in the root directory of the module. Any functions that
were in the main module script (i.e., the .R file whose filename is the name of
the module and is in the root directory of the module) will be moved to individual
.R
files in the R
folder. Any function with a dot prefix will have the
dot removed in its respective filename, but the function name is unaffected.
Currently, SpaDES.core
does not install the package under any circumstances.
It will load it via pkgdown::load_all
, and optionally (option("spades.moduleDocument" = TRUE)
)
build documentation via roxygen2::roxygenise
within the simInit
call.
This means that any modifications to source code
will be read in during the simInit
call, as is the practice when a module
is not a package.
invoked for the side effect of converting a module to a package
Currently, this is not a reversible process. We recommend trying one module at
a time, running your code. If all seems to work, then great. Commit the changes.
If things don't seem to work, then revert the changes and continue on as before.
Ideally, file a bug report on the SpaDES.core
GitHub.com pages.
Currently
The only function that will be exported by default is the doEvent.xxx
,
where xxx
is the module name. If any other module is to be exported, it must
be explicitly exported with e.g., @export
, and then building the NAMESPACE
file, e.g., via devtools::document(moduleRootPath)
. NOTE: as long as all
the functions are being used inside each other, and they all can be traced back
to a call in doEvent.xxx
, then there is no need to export anything else.
The DESCRIPTION
file that is created (destroying any existing DESCRIPTION
file) with this function will have
several elements that a user may wish to change. Notably, all packages that were
in reqdPkgs
in the SpaDES module metadata will be in the Imports
section of the DESCRIPTION
. To accommodate the need to see these functions,
a new R script, imports.R
will be created with @import
for each
package in reqdPkgs
of the module metadata. However, if a module already has used
@importFrom
for importing a function from a package, then the generic
@import
will be omitted for that (those) package(s).
So, a user should likely follow standard R package
best practices and use @importFrom
to identify the specific functions that
are required within external packages, thereby limiting function name collisions
(and the warnings that come with them).
Other elements of a standard DESCRIPTION
file that will be missing or possibly
inappropriately short are Title
, Description
, URL
,
BugReports
.
There is no need to "install" the source code as a package because simInit
will load it on the fly. But, there may be reasons to install it, e.g., to have
access to individual functions, help manual, running tests etc. To do this,
simply use the devtools::install(pathToModuleRoot)
. Even if it is installed,
simInit
will nevertheless run pkgload::load_all
to ensure the
spades
call will be using the current source code.
if (requireNamespace("ggplot2") && requireNamespace("pkgload") ) {
tmpdir <- tempdir2()
newModule("test", tmpdir, open = FALSE)
convertToPackage("test", path = tmpdir)
pkgload::load_all(file.path(tmpdir, "test"))
pkgload::unload("test")
}
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