#' Test Data I/O Utilities
#'
#' @test
test_that("read_data function works with different file formats", {
  # This test assumes some test data exists
  # In practice, you'd create test data files

  # Test that the function exists and can be called
  expect_true(is.function(read_data))
  expect_true(is.function(convert_to_parquet))
})

#' Test Enhanced Productivity Costs
#'
#' @test
test_that("productivity costs are calculated based on PROs", {
  # Create test data
  test_data <- data.frame(
    age = c(50, 60, 70),
    oa = c(1, 1, 1),
    dead = c(0, 0, 0),
    pain = c(0.8, 0.6, 0.3),
    function_score = c(0.4, 0.6, 0.8),
    cycle_cost_societal = c(0, 0, 0)
  )

  # Test that productivity costs vary with PROs
  # (This would be more comprehensive in a real test)
  expect_true(nrow(test_data) == 3)
})

#' Test Implant Survival Curves
#'
#' @test
test_that("TKA function accepts implant survival parameters", {
  # Test that the function signature includes new parameters
  expect_true(is.function(TKA_update_fcn))

  # Check function parameters
  params <- names(formals(TKA_update_fcn))
  expect_true("implant_survival_data" %in% params)
  expect_true("default_implant_type" %in% params)
})