library(textrecipes)
library(recipes)
library(tibble)

text <- tibble(text = c(
  "I would not eat them here or there.",
  "I would not eat them anywhere.",
  "I would not eat green eggs and ham.",
  "I do not like them, Sam-I-am."
))

test_that("lemmatization works", {
  skip_on_cran()
  skip_if_no_python_or_no_spacy()

  rec <- recipe(~text, data = text) %>%
    step_tokenize(all_predictors(), engine = "spacyr") %>%
    step_lemma(all_predictors())

  prepped_data <- rec %>%
    prep() %>%
    bake(new_data = NULL)

  expect_s3_class(prepped_data$text, "textrecipes_tokenlist")

  expect_equal(
    vctrs::field(prepped_data$text, "tokens"),
    list(
      c("I", "would", "not", "eat", "they", "here", "or", "there", "."),
      c("I", "would", "not", "eat", "they", "anywhere", "."),
      c("I", "would", "not", "eat", "green", "egg", "and", "ham", "."),
      c("I", "do", "not", "like", "they", ",", "Sam", "-", "I", "-", "be", ".")
    )
  )

  expect_null(
    attr(prepped_data$text, "lemma")
  )
})

test_that("lemmatization errors if lemma attribute doesn't exists", {
  rec <- recipe(~text, data = text) %>%
    step_tokenize(all_predictors()) %>%
    step_lemma(all_predictors())

  expect_snapshot(
    error = TRUE,
    prep(rec)
  )
})

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

test_that("bake method errors when needed non-standard role columns are missing", {
  skip_on_cran()
  skip_if_no_python_or_no_spacy()

  tokenized_test_data <- recipe(~text, data = text) %>%
    step_tokenize(all_predictors(), engine = "spacyr") %>%
    prep() %>%
    bake(new_data = NULL)
  
  rec <- recipe(tokenized_test_data) %>%
    step_lemma(text) %>%
    update_role(text, new_role = "potato") %>%
    update_role_requirements(role = "potato", bake = FALSE)
  
  trained <- prep(rec)
  
  expect_error(
    bake(trained, new_data = tokenized_test_data[, -1]),
    class = "new_data_missing_column"
  )
})

test_that("empty printing", {
  rec <- recipe(mpg ~ ., mtcars)
  rec <- step_lemma(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_lemma(rec1)
  
  rec1 <- prep(rec1, mtcars)
  rec2 <- prep(rec2, mtcars)
  
  baked1 <- bake(rec1, mtcars)
  baked2 <- bake(rec2, mtcars)
  
  expect_identical(baked1, baked1)
})

test_that("empty selection tidy method works", {
  rec <- recipe(mpg ~ ., mtcars)
  rec <- step_lemma(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", {
  skip_on_cran()
  skip_if_no_python_or_no_spacy()
  rec <- recipe(~text, data = text) %>%
    step_tokenize(all_predictors(), engine = "spacyr") %>%
    step_lemma(all_predictors())
  
  expect_snapshot(print(rec))
  expect_snapshot(prep(rec))
})