skip_if_not_installed("ranger") skip_if_not_installed("plumber") library(plumber) set.seed(123) cars_rf <- ranger::ranger(mpg ~ ., data = mtcars, quantreg = TRUE) v <- vetiver_model(cars_rf, "cars3", prototype_data = mtcars[,-1]) test_that("can print ranger model", { expect_snapshot(v) }) test_that("error for no prototype_data with ranger", { expect_snapshot(vetiver_model(cars_rf, "cars3"), error = TRUE) }) test_that("can predict ranger model", { preds <- predict(v, mtcars[,-1]) expect_equal(length(preds$predictions), 32) expect_equal(mean(preds$predictions), 20.1, tolerance = 0.1) }) test_that("can pin an ranger model", { b <- board_temp() vetiver_pin_write(b, v) pinned <- pin_read(b, "cars3") expect_equal(pinned$model, butcher::butcher(cars_rf)) expect_equal( pinned$prototype, vctrs::vec_slice(tibble::as_tibble(mtcars[,-1]), 0) ) expect_equal( pin_meta(b, "cars3")$user$required_pkgs, "ranger" ) }) test_that("default endpoint for ranger", { p <- pr() %>% vetiver_api(v) p_routes <- p$routes[-1] expect_api_routes(p_routes) }) test_that("default OpenAPI spec", { v$metadata <- list(url = "potatoes") p <- pr() %>% vetiver_api(v) car_spec <- p$getApiSpec() expect_equal(car_spec$info$description, "A ranger regression model") post_spec <- car_spec$paths$`/predict`$post expect_equal(names(post_spec), c("summary", "requestBody", "responses")) expect_equal(as.character(post_spec$summary), "Return predictions from model using 10 features") get_spec <- car_spec$paths$`/pin-url`$get expect_equal(as.character(get_spec$summary), "Get URL of pinned vetiver model") }) test_that("create plumber.R for ranger", { skip_on_cran() b <- board_folder(path = tmp_dir) vetiver_pin_write(b, v) tmp <- tempfile() vetiver_write_plumber(b, "cars3", file = tmp) expect_snapshot( cat(readr::read_lines(tmp), sep = "\n"), transform = redact_vetiver ) })