R API for the Trevas VTL engine :8ball:
License: MIT License
Currently a product manager / metadata expert at Insee.
Nowadays i mainly produce issues and comments but i sometimes code! 🙂
Before pushing to CRAN, i use R-hub as is advised.
When doing so, the tests are in error because the provided JVM is not adapted to the version used to compile classes:
* checking tests ...
Running ‘testthat.R’
ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
── 6. Error: Instantiate InMemoryDataset (@test-java_utils.R#2) ───────────────
java.lang.UnsupportedClassVersionfr/insee/vtl/model/Dataset has been compiled by a more recent version of the Java Runtime (class file version 55.0), this version of the Java Runtime only recognizes class file versions up to 52.0
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
1. Error: Creating a list of components from a dataframe (@test-dataset.R#3)
2. Error: Can create a list of data from a df (@test-dataset.R#10)
3. Error: Can create a dataset from a dataframe (@test-dataset.R#17)
4. Error: Evaluation is done right (@test-evaluation.R#5)
5. Error: Datasets, drop operation (@test-evaluation.R#11)
6. Error: Instantiate InMemoryDataset (@test-java_utils.R#2)
Error: testthat unit tests failed
Execution halted
This easiest solution would be to recompile the classes with Java 8 (52), see the list of java versions.
Another more complex option would be to see if another runtime can be used with R-hub and CRAN.
We could memoize the call to get_engine using:
memoise <- function(fun) {
memory <- list()
function(x) {
valueName <- as.character(x)
if (!is.null(memory[[valueName]])) return(memory[[valueName]])
res <- fun(x)
memory[[valueName]] <<- res
res
}
}
fn <- function(n) {
sample(1:n, size = n)
}Basic installation of the package is not directly working due to rJava way of handling things.
See:
In the following statement:
Line 72 in bd2981a
it is necessary to add escaped double quotes ( \" ) to Hadrien.
We already transform a dataframe into a dataset (specifically a Trevas InMemoryDataset).
We now need to produce the inverse operation.
Currently, darkr supports VTL expression in the form of string, eg. derived := initial[ drop age ].
It may be cool to have builder functions, for example:
ds2 <- create(derived) %>%
from(initial) %>%
drop(age)
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