Whilst you can use unittest with scripts and ad-hoc code, the main use-case is for adding tests to packages.
For the following example we’ll assume you’re developing a package
called mypackage
.
Add the following line to the package DESCRIPTION
file,
to declare that your package optionally depends on
unittest
:
Suggests: unittest
Create a directory called tests
in your package source,
alongside your R
directory.
Let’s say we want to test the following package function, in
R/biggest.R
:
Create a corresponding tests/test_biggest.R
in your
package source (the file name isn’t important, but it helps to be
consistent):
#!/usr/bin/Rscript --vanilla
library(mypackage)
library(unittest, quietly = TRUE)
if (!interactive()) options(warn=2, error = function() { sink(stderr()) ; traceback(3) ; q(status = 1) })
ok(ut_cmp_equal( biggest(3,4), 4), "two numbers")
ok(ut_cmp_equal( biggest(c(5,3),c(3,4)), 5), "two vectors")
The if (!interactive()) ...
line makes sure that, when
run as a script, any warnings are errors, so they don’t go unnoticed. We
also enable a traceback so you can see where any errors occured.
Finally, we use ok
to test the output of the function
works as we expect.
There are many ways you can then run your tests:
R CMD check
will run everything it finds in the
tests
directory, and will fail if any of the tests
fail.source('tests/test_biggest.R')
within R will run
individual tests in your current R session.Rscript --vanilla tests/test_biggest.R
will run the
test outside of R.tests/test_biggest.R
will also run the test outside of
R, if the file is marked as executable
(i.e. chmod a+x tests/test_biggest.R
).unittest
detects when it’s been run as a script and if
so will produce a summary of a results. The package will also throw an
error if any tests fail; throwing an error will in turn cause
CMD check
to report the error and fail the
check
.
To run all your tests as part of a bash script, you can do so with:
Sometimes it’s necessary to test functions that aren’t exported by
your package. Because they aren’t exported they cannot be directly
referenced in tests. To get around this, use local()
as
follows:
var <- 4
local({
ok(ut_cmp_equal(internal_function(3), 3))
ok(ut_cmp_equal(internal_function(var), 4))
# NB: Regular assignment (<-) won't work here,
# but using <<- to refer to variables outside local() will
var <<- 5
ok(ut_cmp_equal(internal_function(var), 5))
}, asNamespace('mypackage'))
At the start of your vignette, load unittest but customise
ok()
so it’s output goes to stderr:
```{r, message=FALSE, echo=FALSE}
library(unittest)
# Redirect ok() output to stderr
options(unittest.output = stderr())
library(mypackage)
```
Then, include hidden blocks for your tests, for example:
Our biggest function will return the highest number:
```{r}
out <- biggest(3,4)
out
```
```{r, message=FALSE, echo=FALSE}
ok(ut_cmp_equal(out, 4), "biggest(3,4) is 4")
```
Here, the reader sees the first block, and the output of
biggest()
, and the hidden block ensures the output is as we
expect.
To run the tests, build the vignettes with,
e.g. tools::buildVignettes(dir=".")
. Test output will be
shown as part of the rebuild process.