test_that("traversal works correctly", {
  library(lavaan)
  
  set.seed(5035)

  N <- 200

  x <- rnorm(N)
  y <- rnorm(N)

  pred1 <- ordered(sample(c(0, 1, 2), N, replace = TRUE))
  pred2 <- sample(0:10, N, replace = TRUE)

  y2 <- ifelse(pred2 > 5, 0.2 * y + 0.8 * x, x)

  model <- "x~~y; x~~x;y~~y"

  df <- data.frame(x, y = y2, pred1, pred2)

  fitted_model <- lavaan::lavaan(model, df)
  tree <- semtree(fitted_model, df)
  plot(tree)

  node_ids <- semtree:::traverse(tree, df)

  node_ids_correct_top10 <- c(6, 2, 5, 2, 6, 2, 2, 7, 2, 2)


  expect_equal(node_ids[1:10], node_ids_correct_top10)
})


test_that("traversal works correctly", {
  library(lavaan)
  
  N <- 200
  
  
  set.seed(5035)
  x <- rnorm(N)
  y <- rnorm(N)
  #
  # further test for categorical variables
  set.seed(3433)
  pred3 <- factor(sample(c("red", "green", "blue", "yellow"), N, replace = TRUE))
  y2 <- ifelse(pred3 == "red" | pred3 == "yellow", 0.2 * y + 0.8 * x, 0.8 * y + 0.2 * x)

  model <- "x~~y; x~~x;y~~y"

  df <- data.frame(x, y = y2, pred3)

  fitted_model <- lavaan::lavaan(model, df)
  tree <- semtree(fitted_model, df)
  plot(tree)

  node_ids <- semtree:::traverse(tree, df)

  node_ids_correct_top10 <- c(2, 2, 3, 2, 2, 2, 2, 2, 3, 2)


  expect_equal(
    node_ids[1:10],
    node_ids_correct_top10
  )

  expect_equal(as.character(tree$rule$value), c("blue", "green"))
})



# more tests for stripped traversal
#
# tree_stripped <- strip(tree)
# traverse_stripped(df[1,],tree_stripped,  what="parameters")
# traverse_stripped(df[3,],tree_stripped,  what="parameters")