dragon <- readPicture("dragon-cairo.ps.xml")
scorpion <- readPicture("scorpion-cairo.ps.xml")
skinner <- readPicture("skinner-cairo.ps.xml")

dataFrame <- data.frame(
  Time = seq_len(32),
  Control = c(
    c(5, 3, 1, 3, 4, 1),
    rep(NA, 14),
    c(8, 6, 2, 4, 3, 1),
    rep(NA, 6)
  ),
  TreatA = c(
    rep(NA, 6),
    c(5, NA, 8, NA, 5, NA, 9, NA, 8, NA, 11, NA, 9, NA),
    rep(NA, 6),
    c(NA, NA, NA, NA, NA, NA)
  ),
  TreatB = c(
    rep(NA, 6),
    c(NA, 3, NA, 7, NA, 12, NA, 11, NA, 14, NA, 13.5, NA, 16),
    rep(NA, 6),
    c(8, 15, 12, 16, 13, 18)
  ),
  Phase = c(
    rep("First", 20),
    rep("Half", 12)
  ),
  Facet = rep("P1", 32)
)

describe("Image Draw Layer", {
  it("Should render as normal", {
    expect_no_error(
      scr_plot(dataFrame,
        aesthetics = var_map(
          x = Time,
          y = Control,
          p = Phase,
          facet = Facet
        ),
        mai = c(0.375, 0.375, 0.1, 0.1),
        omi = c(0.25, 0.25, 0.25, 0.25)
      ) |>
        scr_xoverride(
          c(0.4, 32),
          xticks = c(1, 5, 10, 15, 20, 25, 30)
        ) |>
        scr_yoverride(c(-0.5, 20),
          yticks = c(0, 5, 10, 15, 20),
          ydelta = 5
        ) |>
        scr_lines() |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatA,
          p = Phase
        )) |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatB
        )) |>
        scr_plines(
          lty = 1,
          lines = list(
            "P1" = list(
              "A" = list(
                x1 = 6.5,
                y1 = 20,
                y2 = -0.5
              ),
              "B" = list(
                x1 = 20.5,
                y1 = 20,
                y2 = -0.5
              ),
              "C" = list(
                x1 = 26.5,
                y1 = 20,
                y2 = -0.5
              )
            )
          )
        ) |>
        scr_images(
          cex = 0.08,
          image = skinner
        ) |>
        scr_images(
          cex = 0.075,
          image = dragon,
          mapping = var_map(
            x = Time,
            y = TreatA
          )
        ) |>
        scr_images(
          cex = 0.065,
          image = scorpion,
          mapping = var_map(
            x = Time,
            y = TreatB
          )
        ) |>
        scr_label_phase(
          facet = "P1",
          cex = 1.25,
          adj = 0.5,
          y = 20,
          labels = list(
            "Baseline" = list(x = 3.5),
            "Alternating Treatments" = list(x = 13.5),
            "Baseline2" = list(
              x = 23.5,
              label = "Baseline"
            ),
            "Best Treatment" = list(x = 30)
          )
        ) |>
        scr_xlabel("Session") |>
        scr_ylabel("          Work Output") |>
        print()
    )
  })

  it("Should render as normal without phases", {
    expect_no_error(
      scr_plot(dataFrame,
        aesthetics = var_map(
          x = Time,
          y = Control,
          facet = Facet
        ),
        mai = c(0.375, 0.375, 0.1, 0.1),
        omi = c(0.25, 0.25, 0.25, 0.25)
      ) |>
        scr_xoverride(
          c(0.4, 32),
          xticks = c(1, 5, 10, 15, 20, 25, 30)
        ) |>
        scr_yoverride(c(-0.5, 20),
          yticks = c(0, 5, 10, 15, 20),
          ydelta = 5
        ) |>
        scr_lines() |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatA,
          p = Phase
        )) |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatB
        )) |>
        scr_plines(
          lty = 1,
          lines = list(
            "P1" = list(
              "A" = list(
                x1 = 6.5,
                y1 = 20,
                y2 = -0.5
              ),
              "B" = list(
                x1 = 20.5,
                y1 = 20,
                y2 = -0.5
              ),
              "C" = list(
                x1 = 26.5,
                y1 = 20,
                y2 = -0.5
              )
            )
          )
        ) |>
        scr_images(
          cex = 0.08,
          image = skinner
        ) |>
        scr_images(
          cex = 0.075,
          image = dragon,
          mapping = var_map(
            x = Time,
            y = TreatA
          )
        ) |>
        scr_images(
          cex = 0.065,
          image = scorpion,
          mapping = var_map(
            x = Time,
            y = TreatB
          )
        ) |>
        scr_label_phase(
          facet = "P1",
          cex = 1.25,
          adj = 0.5,
          y = 20,
          labels = list(
            "Baseline" = list(x = 3.5),
            "Alternating Treatments" = list(x = 13.5),
            "Baseline2" = list(
              x = 23.5,
              label = "Baseline"
            ),
            "Best Treatment" = list(x = 30)
          )
        ) |>
        scr_xlabel("Session") |>
        scr_ylabel("          Work Output") |>
        print()
    )
  })

  it("Should render as normal without facets", {
    expect_no_error(
      scr_plot(dataFrame,
        aesthetics = var_map(
          x = Time,
          y = Control
        ),
        mai = c(0.375, 0.375, 0.1, 0.1),
        omi = c(0.25, 0.25, 0.25, 0.25)
      ) |>
        scr_xoverride(
          c(0.4, 32),
          xticks = c(1, 5, 10, 15, 20, 25, 30)
        ) |>
        scr_yoverride(c(-0.5, 20),
          yticks = c(0, 5, 10, 15, 20),
          ydelta = 5
        ) |>
        scr_lines() |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatA,
          p = Phase
        )) |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatB
        )) |>
        scr_plines(
          lty = 1,
          lines = list(
            "A" = list(
              x1 = 6.5,
              y1 = 20,
              y2 = -0.5
            ),
            "B" = list(
              x1 = 20.5,
              y1 = 20,
              y2 = -0.5
            ),
            "C" = list(
              x1 = 26.5,
              y1 = 20,
              y2 = -0.5
            )
          )
        ) |>
        scr_images(
          cex = 0.08,
          image = skinner
        ) |>
        scr_images(
          cex = 0.075,
          image = dragon,
          mapping = var_map(
            x = Time,
            y = TreatA
          )
        ) |>
        scr_images(
          cex = 0.065,
          image = scorpion,
          mapping = var_map(
            x = Time,
            y = TreatB
          )
        ) |>
        scr_label_phase(
          facet = "P1",
          cex = 1.25,
          adj = 0.5,
          y = 20,
          labels = list(
            "Baseline" = list(x = 3.5),
            "Alternating Treatments" = list(x = 13.5),
            "Baseline2" = list(
              x = 23.5,
              label = "Baseline"
            ),
            "Best Treatment" = list(x = 30)
          )
        ) |>
        scr_xlabel("Session") |>
        scr_ylabel("          Work Output") |>
        print()
    )
  })

  it("Should FAIL without an image", {
    expect_error(
      scr_plot(dataFrame,
        aesthetics = var_map(
          x = Time,
          y = Control,
          p = Phase,
          facet = Facet
        ),
        mai = c(0.375, 0.375, 0.1, 0.1),
        omi = c(0.25, 0.25, 0.25, 0.25)
      ) |>
        scr_xoverride(
          c(0.4, 32),
          xticks = c(1, 5, 10, 15, 20, 25, 30)
        ) |>
        scr_yoverride(c(-0.5, 20),
          yticks = c(0, 5, 10, 15, 20),
          ydelta = 5
        ) |>
        scr_lines() |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatA,
          p = Phase
        )) |>
        scr_lines(mapping = var_map(
          x = Time,
          y = TreatB
        )) |>
        scr_plines(
          lty = 1,
          lines = list(
            "P1" = list(
              "A" = list(
                x1 = 6.5,
                y1 = 20,
                y2 = -0.5
              ),
              "B" = list(
                x1 = 20.5,
                y1 = 20,
                y2 = -0.5
              ),
              "C" = list(
                x1 = 26.5,
                y1 = 20,
                y2 = -0.5
              )
            )
          )
        ) |>
        scr_images(
          cex = 0.08,
        ) |>
        scr_images(
          cex = 0.075,
          mapping = var_map(
            x = Time,
            y = TreatA
          )
        ) |>
        scr_images(
          cex = 0.065,
          mapping = var_map(
            x = Time,
            y = TreatB
          )
        ) |>
        scr_label_phase(
          facet = "P1",
          cex = 1.25,
          adj = 0.5,
          y = 20,
          labels = list(
            "Baseline" = list(x = 3.5),
            "Alternating Treatments" = list(x = 13.5),
            "Baseline2" = list(
              x = 23.5,
              label = "Baseline"
            ),
            "Best Treatment" = list(x = 30)
          )
        ) |>
        scr_xlabel("Session") |>
        scr_ylabel("          Work Output") |>
        print(),
      "Must specify an image to draw."
    )
  })
})