skip_if_not_installed("clustMixType")
skip_if_not_installed("plumber")
library(plumber)
data(crickets, package = "modeldata")
## this model does not work with tibble input:
crickets <- as.data.frame(crickets)
set.seed(123)
kp_fit <- clustMixType::kproto(crickets, k = 3, verbose = FALSE)
v <- vetiver_model(kp_fit, "kproto-example")
test_that("can print kproto model", {
expect_snapshot(v)
})
test_that("can predict kproto model", {
## prediction is broken for single observation
predicted_clusters <- predict(v, crickets[5:6,])
expect_equal(predicted_clusters$cluster, c(1, 1))
})
test_that("can pin a kproto model", {
b <- pins::board_temp()
vetiver_pin_write(b, v)
pinned <- pins::pin_read(b, "kproto-example")
expect_equal(
pinned,
list(
model = vetiver_prepare_model(kp_fit),
prototype = vctrs::vec_ptype(tibble::as_tibble(crickets))
)
)
expect_equal(
pin_meta(b, "kproto-example")$user$required_pkgs,
"clustMixType"
)
})
test_that("default endpoint for kproto", {
p <- plumber::pr() %>% vetiver_api(v)
p_routes <- p$routes[-1]
expect_api_routes(p_routes)
})
test_that("default OpenAPI spec", {
v$metadata <- list(url = "potatoes")
p <- pr() %>% vetiver_api(v)
api_spec <- p$getApiSpec()
expect_equal(api_spec$info$description,
"A k-prototypes clustering model (3 clusters)")
post_spec <- api_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 3 features")
get_spec <- api_spec$paths$`/pin-url`$get
expect_equal(as.character(get_spec$summary),
"Get URL of pinned vetiver model")
})
test_that("create plumber.R for kproto", {
skip_on_cran()
b <- board_folder(path = tmp_dir)
vetiver_pin_write(b, v)
tmp <- tempfile()
vetiver_write_plumber(b, "kproto-example", file = tmp)
expect_snapshot(
cat(readr::read_lines(tmp), sep = "\n"),
transform = redact_vetiver
)
})
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