library(testthat)
library(recipes)
library(modeldata)
library(splines)
data(biomass)

# ------------------------------------------------------------------------------

context("Natural splines")

# ------------------------------------------------------------------------------

biomass_tr <- biomass[biomass$dataset == "Training",]
biomass_te <- biomass[biomass$dataset == "Testing",]

rec <- recipe(HHV ~ carbon + hydrogen + oxygen + nitrogen + sulfur,
              data = biomass_tr)
# ------------------------------------------------------------------------------

test_that('correct basis functions', {
  with_ns <- rec %>%
    step_ns(carbon, hydrogen)

  with_ns <- prep(with_ns, training = biomass_tr, verbose = FALSE)

  with_ns_pred_tr <- bake(with_ns, new_data = biomass_tr)
  with_ns_pred_te <- bake(with_ns, new_data = biomass_te)

  carbon_ns_tr_exp <- ns(biomass_tr$carbon, df = 2)
  hydrogen_ns_tr_exp <- ns(biomass_tr$hydrogen, df = 2)
  carbon_ns_te_exp <- predict(carbon_ns_tr_exp, biomass_te$carbon)
  hydrogen_ns_te_exp <- predict(hydrogen_ns_tr_exp, biomass_te$hydrogen)

  expect_equal(
    unname(attr(carbon_ns_tr_exp, "knots")),
    attr(with_ns$steps[[1]]$objects$carbon, "knots")
  )
  expect_equal(
    unname(attr(carbon_ns_tr_exp, "Boundary.knots")),
    attr(with_ns$steps[[1]]$objects$carbon, "Boundary.knots")
  )
  expect_equal(
    unname(attr(hydrogen_ns_tr_exp, "knots")),
    attr(with_ns$steps[[1]]$objects$hydrogen, "knots")
  )
  expect_equal(
    unname(attr(hydrogen_ns_tr_exp, "Boundary.knots")),
    attr(with_ns$steps[[1]]$objects$hydrogen, "Boundary.knots")
  )

  carbon_ns_tr_res <- as.matrix(with_ns_pred_tr[, grep("carbon", names(with_ns_pred_tr))])
  colnames(carbon_ns_tr_res) <- NULL
  hydrogen_ns_tr_res <- as.matrix(with_ns_pred_tr[, grep("hydrogen", names(with_ns_pred_tr))])
  colnames(hydrogen_ns_tr_res) <- NULL

  carbon_ns_te_res <- as.matrix(with_ns_pred_te[, grep("carbon", names(with_ns_pred_te))])
  colnames(carbon_ns_te_res) <- 1:ncol(carbon_ns_te_res)
  hydrogen_ns_te_res <- as.matrix(with_ns_pred_te[, grep("hydrogen", names(with_ns_pred_te))])
  colnames(hydrogen_ns_te_res) <- 1:ncol(hydrogen_ns_te_res)

  ## remove attributes
  carbon_ns_tr_exp <- matrix(carbon_ns_tr_exp, ncol = 2)
  carbon_ns_te_exp <- matrix(carbon_ns_te_exp, ncol = 2)
  hydrogen_ns_tr_exp <- matrix(hydrogen_ns_tr_exp, ncol = 2)
  hydrogen_ns_te_exp <- matrix(hydrogen_ns_te_exp, ncol = 2)
  dimnames(carbon_ns_tr_res) <- NULL
  dimnames(carbon_ns_te_res) <- NULL
  dimnames(hydrogen_ns_tr_res) <- NULL
  dimnames(hydrogen_ns_te_res) <- NULL

  expect_equal(carbon_ns_tr_res, carbon_ns_tr_exp)
  expect_equal(carbon_ns_te_res, carbon_ns_te_exp)
  expect_equal(hydrogen_ns_tr_res, hydrogen_ns_tr_exp)
  expect_equal(hydrogen_ns_te_res, hydrogen_ns_te_exp)
})


test_that('printing', {
  with_ns <- rec %>%  step_ns(carbon, hydrogen)
  expect_output(print(with_ns))
  expect_output(prep(with_ns, training = biomass_tr, verbose = TRUE))
})


test_that('tunable', {
  rec <-
    recipe(~ ., data = iris) %>%
    step_ns(all_predictors())
  rec_param <- tunable.step_ns(rec$steps[[1]])
  expect_equal(rec_param$name, c("deg_free"))
  expect_true(all(rec_param$source == "recipe"))
  expect_true(is.list(rec_param$call_info))
  expect_equal(nrow(rec_param), 1)
  expect_equal(
    names(rec_param),
    c('name', 'call_info', 'source', 'component', 'component_id')
  )
})
