test_that("dino reliability", {
  dino_reli <- reliability(rstn_dino, threshold = 0.5)

  # threshold errors
  err <- rlang::catch_cnd(reliability(
    rstn_dino,
    threshold = c(
      "att1" = 0.5,
      "asdf" = 0.8,
      "test" = 0.7,
      "att4" = 0.5
    )
  ))
  expect_match(err$message, "unknown attribute names")
  err <- rlang::catch_cnd(reliability(
    rstn_dino,
    threshold = c("att1" = 0.5, "asdf" = 0.8)
  ))
  expect_match(err$message, "must be length 1 or 4")

  # list naming
  expect_equal(
    names(dino_reli),
    c("pattern_reliability", "map_reliability", "eap_reliability")
  )
  expect_equal(names(dino_reli$pattern_reliability), c("p_a", "p_c"))
  expect_equal(names(dino_reli$map_reliability), c("accuracy", "consistency"))
  expect_equal(
    names(dino_reli$map_reliability$accuracy),
    c(
      "attribute",
      "acc",
      "lambda_a",
      "kappa_a",
      "youden_a",
      "tetra_a",
      "tp_a",
      "tn_a"
    )
  )
  expect_equal(
    names(dino_reli$map_reliability$consistency),
    c(
      "attribute",
      "consist",
      "lambda_c",
      "kappa_c",
      "youden_c",
      "tetra_c",
      "tp_c",
      "tn_c",
      "gammak",
      "pc_prime"
    )
  )
  expect_equal(
    names(dino_reli$eap_reliability),
    c("attribute", "rho_pf", "rho_bs", "rho_i", "rho_tb")
  )

  # list rows
  expect_equal(
    dino_reli$map_reliability$accuracy$attribute,
    colnames(q_matrix)[-1]
  )
  expect_equal(
    dino_reli$map_reliability$consistency$attribute,
    colnames(q_matrix)[-1]
  )
  expect_equal(dino_reli$eap_reliability$attribute, colnames(q_matrix)[-1])
})

test_that("reliability can be added to model object", {
  dina_mod <- rstn_dina
  expect_equal(dina_mod@reliability, list())

  dina_mod <- add_reliability(dina_mod, threshold = rep(0.5, 4))
  expect_equal(
    names(dina_mod@reliability),
    c("pattern_reliability", "map_reliability", "eap_reliability")
  )

  expect_equal(
    measr_extract(dina_mod, "pattern_reliability"),
    tibble(
      accuracy = dina_mod@reliability$pattern_reliability[["p_a"]],
      consistency = dina_mod@reliability$pattern_reliability[["p_c"]]
    )
  )
  expect_equal(
    measr_extract(rstn_dina, "pattern_reliability"),
    measr_extract(dina_mod, "pattern_reliability")
  )

  expect_equal(
    measr_extract(dina_mod, "classification_reliability"),
    dplyr::full_join(
      dplyr::select(
        dina_mod@reliability$map_reliability$accuracy,
        "attribute",
        accuracy = "acc"
      ),
      dplyr::select(
        dina_mod@reliability$map_reliability$consistency,
        "attribute",
        consistency = "consist"
      ),
      by = "attribute"
    )
  )
  expect_equal(
    measr_extract(rstn_dina, "classification_reliability"),
    measr_extract(dina_mod, "classification_reliability")
  )

  expect_equal(
    measr_extract(
      dina_mod,
      "classification_reliability",
      agreement = c("lambda", "tn")
    ),
    dplyr::full_join(
      dplyr::select(
        dina_mod@reliability$map_reliability$accuracy,
        "attribute",
        accuracy = "acc",
        lambda_accuracy = "lambda_a",
        tn_accuracy = "tn_a"
      ),
      dplyr::select(
        dina_mod@reliability$map_reliability$consistency,
        "attribute",
        consistency = "consist",
        lambda_consistency = "lambda_c",
        tn_consistency = "tn_c"
      ),
      by = "attribute"
    )
  )

  expect_equal(
    measr_extract(dina_mod, "probability_reliability"),
    dplyr::select(
      dina_mod@reliability$eap_reliability,
      "attribute",
      informational = "rho_i"
    )
  )
  expect_equal(
    measr_extract(rstn_dina, "probability_reliability"),
    measr_extract(dina_mod, "probability_reliability")
  )

  expect_equal(
    measr_extract(dina_mod, "probability_reliability", agreement = "bs"),
    dplyr::select(
      dina_mod@reliability$eap_reliability,
      "attribute",
      informational = "rho_i",
      point_biserial = "rho_bs"
    )
  )

  expect_identical(dina_mod@reliability, reliability(dina_mod))
})