tests/testthat/test-client.R

In rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

# ---------------------------------------------------------------------------
# extract_model_id
# ---------------------------------------------------------------------------

test_that("extract_model_id accepts a character string", {
  expect_equal(extract_model_id("mod-123"), "mod-123")
})

test_that("extract_model_id accepts a list with $model_id", {
  fit <- list(model_id = "mod-456", n_rows = 10)
  expect_equal(extract_model_id(fit), "mod-456")
})

test_that("extract_model_id errors on invalid input", {
  expect_error(extract_model_id(42), "must be a character string")
  expect_error(extract_model_id(list(a = 1)), "must be a character string")
  expect_error(extract_model_id(NULL), "must be a character string")
})

# ---------------------------------------------------------------------------
# midas_fit
# ---------------------------------------------------------------------------

test_that("midas_fit sends correct request and parses response", {
  fake_server_running()
  on.exit(reset_server_state())

  mock_resp <- mock_json_response(list(
    model_id = "mod-123",
    n_rows = 10,
    n_cols = 3,
    col_types = list("num", "num", "bin")
  ))

  data <- data.frame(X1 = rnorm(10), X2 = rnorm(10),
                     X3 = c(rep(0, 5), rep(1, 5)))
  data$X1[c(3, 7)] <- NA

  httr2::with_mocked_responses(mock_resp, {
    res <- midas_fit(data, epochs = 5L)
  })

  expect_type(res, "list")
  expect_equal(res$model_id, "mod-123")
  expect_equal(res$n_rows, 10)
})

test_that("midas_transform returns list of data frames", {
  fake_server_running()
  on.exit(reset_server_state())

  call_count <- 0L
  mock_resp <- function(req) {
    call_count <<- call_count + 1L
    if (call_count == 1L) {
      # POST /model/{id}/transform response
      body <- list(model_id = "mod-123", m = 2, n_rows = 3, n_cols = 2)
    } else {
      # GET /model/{id}/imputations/{idx} response
      body <- list(
        model_id = "mod-123",
        index = call_count - 2L,
        columns = list("X1", "X2"),
        data = list(list(1.0, 2.0), list(3.0, 4.0), list(5.0, 6.0))
      )
    }
    httr2::response(
      status_code = 200L,
      headers = list("Content-Type" = "application/json"),
      body = charToRaw(jsonlite::toJSON(body, auto_unbox = TRUE))
    )
  }

  httr2::with_mocked_responses(mock_resp, {
    imps <- midas_transform("mod-123", m = 2L)
  })

  expect_type(imps, "list")
  expect_length(imps, 2)
  expect_s3_class(imps[[1]], "data.frame")
  expect_equal(nrow(imps[[1]]), 3)
})

test_that("midas returns model_id and imputations", {
  fake_server_running()
  on.exit(reset_server_state())

  mock_resp <- mock_json_response(list(
    model_id = "mod-456",
    m = 2,
    columns = list("X1", "X2"),
    imputations = list(
      list(list(1.0, 2.0), list(3.0, 4.0)),
      list(list(5.0, 6.0), list(7.0, 8.0))
    )
  ))

  data <- data.frame(X1 = c(1, NA), X2 = c(2, 4))

  httr2::with_mocked_responses(mock_resp, {
    res <- midas(data, m = 2L, epochs = 1L)
  })

  expect_equal(res$model_id, "mod-456")
  expect_length(res$imputations, 2)
  expect_s3_class(res$imputations[[1]], "data.frame")
})

test_that("imp_mean returns data frame", {
  fake_server_running()
  on.exit(reset_server_state())

  mock_resp <- mock_json_response(list(
    model_id = "mod-123",
    columns = list("X1", "X2"),
    data = list(list(1.5, 2.5), list(3.5, 4.5))
  ))

  httr2::with_mocked_responses(mock_resp, {
    res <- imp_mean("mod-123")
  })

  expect_s3_class(res, "data.frame")
  expect_equal(nrow(res), 2)
  expect_equal(ncol(res), 2)
})

test_that("combine returns Rubin's rules data frame", {
  fake_server_running()
  on.exit(reset_server_state())

  mock_resp <- mock_json_response(list(
    model_id = "mod-123",
    columns = list("term", "estimate", "std.error",
                   "statistic", "df", "p.value"),
    data = list(
      list("const", 0.1, 0.05, 2.0, 50.0, 0.05),
      list("X1", 0.3, 0.1, 3.0, 48.0, 0.004)
    )
  ))

  httr2::with_mocked_responses(mock_resp, {
    res <- combine("mod-123", y = "Y")
  })

  expect_s3_class(res, "data.frame")
  expect_true("term" %in% names(res))
  expect_true("p.value" %in% names(res))
  expect_equal(nrow(res), 2)
})

test_that("overimpute returns RMSE", {
  fake_server_running()
  on.exit(reset_server_state())

  mock_resp <- mock_json_response(list(
    model_id = "mod-123",
    rmse = list(X1 = 0.15, X2 = 0.22),
    mean_rmse = 0.185
  ))

  httr2::with_mocked_responses(mock_resp, {
    res <- overimpute("mod-123")
  })

  expect_type(res$mean_rmse, "double")
  expect_true("X1" %in% names(res$rmse))
})