library(recipes)
library(testthat)


n <- 200

set.seed(8575)
ex_dat <- data.frame(
  w = sample(letters[1:3], size = n, replace = TRUE),
  x = sample(LETTERS[1:2], size = n, replace = TRUE),
  y = factor(rep_len(month.abb, n)),
  z = factor(rep_len(month.name, n), ordered = TRUE),
  stringsAsFactors = FALSE
)

rec <- recipe(~., data = ex_dat)

test_that("basic functionality", {
  ex_1 <- rec %>%
    step_factor2string(y, z) %>%
    prep(ex_dat, strings_as_factors = FALSE) %>%
    bake(new_data = NULL)
  expect_equal(class(ex_1$w), "character")
  expect_equal(class(ex_1$x), "character")
})

test_that("bad args", {
  expect_snapshot(error = TRUE,
    rec %>%
      step_factor2string(w, x) %>%
      prep(ex_dat, strings_as_factors = FALSE)
  )
})

# Infrastructure ---------------------------------------------------------------

test_that("bake method errors when needed non-standard role columns are missing", {
  ex_1 <- rec %>%
    step_factor2string(y, z) %>%
    update_role(y, z, new_role = "potato") %>%
    update_role_requirements(role = "potato", bake = FALSE) %>%
    prep(ex_dat, strings_as_factors = FALSE)

  expect_error(bake(ex_1, new_data = ex_dat[, 1:3]),
               class = "new_data_missing_column")
})

test_that("empty printing", {
  rec <- recipe(mpg ~ ., mtcars)
  rec <- step_factor2string(rec)

  expect_snapshot(rec)

  rec <- prep(rec, mtcars)

  expect_snapshot(rec)
})

test_that("empty selection prep/bake is a no-op", {
  rec1 <- recipe(mpg ~ ., mtcars)
  rec2 <- step_factor2string(rec1)

  rec1 <- prep(rec1, mtcars)
  rec2 <- prep(rec2, mtcars)

  baked1 <- bake(rec1, mtcars)
  baked2 <- bake(rec2, mtcars)

  expect_identical(baked1, baked2)
})

test_that("empty selection tidy method works", {
  rec <- recipe(mpg ~ ., mtcars)
  rec <- step_factor2string(rec)

  expect <- tibble(terms = character(), id = character())

  expect_identical(tidy(rec, number = 1), expect)

  rec <- prep(rec, mtcars)

  expect_identical(tidy(rec, number = 1), expect)
})

test_that("printing", {
  rec <- recipe(~., data = ex_dat) %>%
    step_factor2string(y, z)

  expect_snapshot(print(rec))
  expect_snapshot(prep(rec))
})
