if (!identical(Sys.getenv("NOT_CRAN"), "true")) {
  skip("No Q-matrix validation on CRAN")
} else {
  dina_spec <- dcmstan::dcm_specify(
    qmatrix = dcmdata::mdm_qmatrix,
    identifier = "item",
    measurement_model = dina()
  )
  suppressMessages(
    dina_mod <- dcm_estimate(
      dina_spec,
      data = dcmdata::mdm_data,
      identifier = "respondent",
      method = "optim",
      backend = "rstan",
      seed = 63277
    )
  )
}

test_that("Q-matrix validation works for ecpe", {
  skip_on_cran()

  # correctly specified lcdm model with ecpe data ------------------------------
  lcdm_spec <- dcmstan::dcm_specify(
    qmatrix = dcmdata::ecpe_qmatrix |>
      dplyr::select(-"item_id"),
    measurement_model = lcdm()
  )
  out <- capture.output(
    suppressMessages(
      rstn_lcdm <- dcm_estimate(
        lcdm_spec,
        data = dcmdata::ecpe_data,
        identifier = "resp_id",
        method = "optim",
        backend = "rstan",
        seed = 63277
      )
    )
  )

  # should match the results from the gdina package ----------------------------
  qmat_valid_res <- qmatrix_validation(x = rstn_lcdm)
  expect_equal(
    names(qmat_valid_res),
    c(
      "item_id",
      "original_specification",
      "original_pvaf",
      "empirical_specification",
      "empirical_pvaf"
    )
  )
  expect_equal(nrow(qmat_valid_res), 28)
  expect_equal(
    nrow(
      qmat_valid_res |>
        dplyr::filter(is.na(empirical_specification))
    ),
    26
  )
  expect_equal(
    qmat_valid_res |>
      dplyr::filter(!is.na(empirical_specification)) |>
      dplyr::pull(.data$item_id),
    c("E9", "E13")
  )
  expect_equal(
    qmat_valid_res |>
      dplyr::filter(.data$item_id %in% c("E9", "E13")) |>
      dplyr::pull(.data$empirical_specification),
    c("[1, 0, 1]", "[1, 0, 1]")
  )
})

test_that("qmatrix validation errors for 1 attribute", {
  skip_on_cran()

  err <- rlang::catch_cnd(qmatrix_validation(x = dina_mod))
  expect_match(
    err$message,
    paste0(
      "The Q-matrix validation method can only be applied to assessments ",
      "measuring more than one attribute."
    )
  )
})