# Setup for testing -------------------------------------------------------
skip_on_cran()
futile.logger::flog.threshold("FATAL")

# set number of cores to use
old_opts <- options()
options(mc.cores = ifelse(interactive(), 4, 1))

# get example case counts
reported_cases <- example_confirmed[1:60]

# define example truncation distribution (note not integer adjusted)
trunc_dist <- dist_spec(
  mean = convert_to_logmean(3, 2),
  mean_sd = 0.1,
  sd = convert_to_logsd(3, 2),
  sd_sd = 0.1,
  max = 10
)

# apply truncation to example data
construct_truncation <- function(index, cases, dist) {
  set.seed(index)
  cmf <- cumsum(
    dlnorm(
      1:(dist$max + 1),
      rnorm(1, dist$mean_mean, dist$mean_sd),
      rnorm(1, dist$sd_mean, dist$sd_sd)
    )
  )
  cmf <- cmf / cmf[dist$max + 1]
  cmf <- rev(cmf)[-1]
  trunc_cases <- data.table::copy(cases)[1:(.N - index)]
  trunc_cases[(.N - length(cmf) + 1):.N, confirm := as.integer(confirm * cmf)]
  return(trunc_cases)
}
example_data <- purrr::map(c(20, 15, 10, 0),
  construct_truncation,
  cases = reported_cases,
  dist = trunc_dist
)

test_that("estimate_truncation can return values from simulated data and plot
           them", {
  # fit model to example data
  est <- estimate_truncation(example_data,
    verbose = interactive(), refresh = 0,
    chains = 2, iter = 1000, warmup = 250
  )
  expect_equal(
    names(est),
    c("dist", "obs", "last_obs", "cmf", "data", "fit")
  )
  expect_s3_class(est$dist, "dist_spec")
  expect_error(plot(est), NA)
})

test_that("deprecated arguments are recognised", {
  options(warn = 2)
  expect_error(estimate_truncation(example_data,
    verbose = interactive(), refresh = 0,
    trunc_max = 10
  ), "deprecated")
  expect_error(estimate_truncation(example_data,
    verbose = interactive(), refresh = 0,
    max_truncation = 10
  ), "deprecated")
  expect_error(estimate_truncation(example_data,
    verbose = interactive(), refresh = 0,
    trunc_dist = "lognormal"
  ), "deprecated")
})

options(old_opts)