# Save the original state
original_state <- get("interval.cols", envir=PKNCA:::.PKNCAEnv)

test_that("add.interval.col", {
  # Invalid inputs fail
  expect_error(
    add.interval.col(name=1),
    regexp="name must be a character string",
    info="interval column name must be a character string"
  )
  expect_error(
    add.interval.col(name=c("a", "b")),
    regexp="name must have length",
    info="interval column name must be a scalar character string"
  )

  expect_error(
    add.interval.col(name="a", FUN=c("a", "b")),
    regexp="FUN must have length == 1",
    info="interval column function must be a scalar character string or NA"
  )
  expect_error(
    add.interval.col(name="a", FUN=1),
    regexp="FUN must be a character string or NA",
    info="interval column function must be a character string or NA"
  )
  
  expect_error(
    add.interval.col(name="a", FUN=NA, datatype="interval", desc="test addition"),
    regexp='argument "unit_type" is missing, with no default'
  )
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="foo", datatype="interval", desc="test addition"),
    regexp="should be one of .*inverse_time"
  )
  
  # pretty_name checks
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name=1:2, datatype="interval", desc=1),
    regexp="pretty_name must be a scalar"
  )
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name=1, datatype="interval", desc=1),
    regexp="pretty_name must be a character"
  )
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="", datatype="interval", desc=1),
    regexp="pretty_name must not be an empty string"
  )
  
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="a", datatype="individual"),
    regexp="Only the 'interval' datatype is currently supported.",
    info="interval column datatype must be 'interval'"
  )
  
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="a", datatype="interval", desc=1:2),
    regexp="desc must have length == 1",
    info="interval column description must be a scalar"
  )
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="a", datatype="interval", desc=1),
    regexp="desc must be a character string",
    info="interval column description must be a character scalar"
  )
  
  expect_error(
    add.interval.col(name="a", FUN="this function does not exist", unit_type="conc", pretty_name="foo", datatype="interval", desc="test addition"),
    regexp="The function named '.*' is not defined.  Please define the function before calling add.interval.col.",
    info="interval column function must exist (or be NA)"
  )

  # formalsmap
  expect_error(
    add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="foo", formalsmap=NA),
    regexp="formalsmap must be a list"
  )
  expect_error(
    add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="foo", formalsmap=list(1)),
    regexp="formalsmap must be a named list"
  )
  expect_error(
    add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="foo", formalsmap=list(A="b")),
    regexp="formalsmap may not be given when FUN is NA",
    info="formalsmap cannot be used with FUN=NA"
  )
  expect_error(
    add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="foo", formalsmap=list(A="a", "b")),
    regexp="All formalsmap elements must be named"
  )
  expect_error(
    add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="a", formalsmap=list(y="a")),
    regexp="All names for the formalsmap list must be arguments to the function",
    info="formalsmap arguments must map to function arguments"
  )
  
  expect_equal(
    {
      add.interval.col(name="a", FUN=NA, unit_type="conc", pretty_name="a", datatype="interval", desc="test addition")
      get("interval.cols", PKNCA:::.PKNCAEnv)[["a"]]
    },
    list(
      FUN=NA,
      values=c(FALSE, TRUE),
      unit_type="conc",
      pretty_name="a",
      desc="test addition",
      sparse=FALSE,
      formalsmap=list(),
      depends=NULL,
      datatype="interval"
    ),
    info="interval column assignment works with FUN=NA"
  )
  expect_equal(
    {
      add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="a", datatype="interval", desc="test addition")
      get("interval.cols", PKNCA:::.PKNCAEnv)[["a"]]
    },
    list(
      FUN="mean",
      values=c(FALSE, TRUE),
      unit_type="conc",
      pretty_name="a",
      desc="test addition",
      sparse=FALSE,
      formalsmap=list(),
      depends=NULL,
      datatype="interval"
    ),
    info="interval column assignment works with FUN=a character string"
  )
  expect_equal(
    {
      add.interval.col(name="a", FUN="mean", unit_type="conc", pretty_name="a", formalsmap=list(x="values"), desc="test addition")
      get("interval.cols", PKNCA:::.PKNCAEnv)[["a"]]
    },
    list(
      FUN="mean",
      values=c(FALSE, TRUE),
      unit_type="conc",
      pretty_name="a",
      desc="test addition",
      sparse=FALSE,
      formalsmap=list(x="values"),
      depends=NULL,
      datatype="interval"
    ),
    info="interval column assignment works with FUN=NA"
  )
})

# Reset the original state
assign("interval.cols", original_state, envir=PKNCA:::.PKNCAEnv)

test_that("fake parameters", {
  add.interval.col(
    name="fake_parameter",
    FUN="mean",
    unit_type="conc",
    pretty_name="a",
    formalsmap=list(x="values"),
    desc="test addition",
    depends="does_not_exist"
  )
  expect_error(
    sort.interval.cols(),
    regexp="Invalid dependencies for interval column (please report this as a bug): fake_parameter The following dependencies are missing: does_not_exist",
    fixed=TRUE
  )
})

# Reset the original state
assign("interval.cols", original_state, envir=PKNCA:::.PKNCAEnv)
