skip_if_not_installed("mlr3")

test_that("mlr3 learner description can be printed", {
    task =  mlr3::tsk("pima")
    learner =  mlr3::lrn("classif.rpart")
    learner$train(task)
    v <- vetiver_model(learner, "rpart_pima")
    expect_snapshot(v)
})

test_that("mlr3 learners can be pinned", {
    task =  mlr3::tsk("pima")
    learner =  mlr3::lrn("classif.rpart")
    learner$train(task)

    v <- vetiver_model(learner, "rpart_pima")
    b <- board_temp()
    vetiver_pin_write(b, v)
    pinned <- pin_read(b, "rpart_pima")

    expect_length(pinned, 2)
    expect_equal(class(pinned$model)[1], "LearnerClassifRpart")
    expect_equal(nrow(pinned$prototype), 0)
    expect_equal(names(pinned$prototype), task$feature_names)
    expect_equal(pin_meta(b, "rpart_pima")$user$required_pkgs,
                 c("mlr3", "rpart"))
})

test_that("learners from mlr3learners can be pinned", {
    skip_if_not_installed("mlr3learners")

    task =  mlr3::tsk("spam")
    learner = mlr3learners::LearnerClassifXgboost$new()
    learner$train(task)

    v <- vetiver_model(learner, "logreg_spam")
    b <- board_temp()
    vetiver_pin_write(b, v)
    pinned <- pin_read(b, "logreg_spam")

    expect_length(pinned, 2)
    expect_equal(class(pinned$model)[1], "LearnerClassifXgboost")
    expect_equal(nrow(pinned$prototype), 0)
    expect_equal(names(pinned$prototype), task$feature_names)
    expect_equal(pin_meta(b, "logreg_spam")$user$required_pkgs,
                 c("mlr3", "mlr3learners", "xgboost"))
})


test_that("create plumber.R for mlr3", {
    skip_on_cran()

    task =  mlr3::tsk("pima")
    learner =  mlr3::lrn("classif.rpart")
    learner$train(task)

    v <- vetiver_model(learner, "rpart_pima")
    b <- board_folder(path = tmp_dir)
    vetiver_pin_write(b, v)
    tmp <- tempfile()
    vetiver_write_plumber(b, "rpart_pima", file = tmp)
    expect_snapshot(
        cat(readr::read_lines(tmp), sep = "\n"),
        transform = redact_vetiver
    )
})