test_that("full benchmark", {
  skip_on_cran()

  cdm <- mockIncidencePrevalenceRef(
    sampleSize = 100,
    earliestObservationStartDate = as.Date("2010-01-01"),
    latestObservationStartDate = as.Date("2010-01-01"),
    minDaysToObservationEnd = 364,
    maxDaysToObservationEnd = 364,
    outPre = 0.1
  )

  timings <- benchmarkIncidencePrevalence(cdm,
    outputFolder = tempdir(),
    fileName = "bench"
  )
  expect_true(tibble::is_tibble(timings))
  expect_true("bench.csv" %in% list.files(tempdir()))

  # expected errors
  expect_error(benchmarkIncidencePrevalence(
    cdm = "a",
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    outputFolder = "not a path"
  ))

  CDMConnector::cdm_disconnect(cdm)
})

test_that("benchmark multiple outcomes, prevalences and analysis types", {
  skip_on_cran()

  cdm <- mockIncidencePrevalenceRef(
    sampleSize = 100,
    earliestObservationStartDate = as.Date("2010-01-01"),
    latestObservationStartDate = as.Date("2010-01-01"),
    minDaysToObservationEnd = 364,
    maxDaysToObservationEnd = 364,
    outPre = 0.1
  )

  timings <- benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2,
    prevOutcomes = c(0.1),
    analysisType = "only incidence"
  )

  expect_true("yearly incidence, 2 outcome(s)" %in% timings$task)
  expect_true("monthly incidence, 2 outcome(s)" %in% timings$task)
  expect_false("yearly point prevalence, 2 outcome(s)" %in% timings$task)

  timings <- benchmarkIncidencePrevalence(cdm,
    nOutcomes = 1,
    prevOutcomes = 0.15, analysisType = "all"
  )

  expect_false("yearly incidence, 2 outcome(s)" %in% timings$task)
  expect_true("monthly point prevalence, 1 outcome(s)" %in% timings$task)
  expect_true("yearly period prevalence, 1 outcome(s)" %in% timings$task)

  # expected errors
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2.2,
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 4,
    prevOutcomes = c(0.1, 0.2),
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2,
    prevOutcomes = c(-0.10, 0.30),
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2,
    prevOutcomes = c(0.10, 310),
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2,
    prevOutcomes = c(0.10, 30),
    analysisType = 0,
    outputFolder = tempdir()
  ))
  expect_error(benchmarkIncidencePrevalence(cdm,
    nOutcomes = 2,
    prevOutcomes = c(0.10, 30),
    analysisType = "prevalence",
    outputFolder = tempdir()
  ))
  CDMConnector::cdm_disconnect(cdm)
})