Nothing
test_that(
paste(
"new_sgl_geom_point returns an instance",
"of the sgl_geom_point subclass"
),
{
point <- new_sgl_geom_point()
expect_equal(attr(point, "class"), c("sgl_geom_point", "sgl_geom"))
}
)
test_that("new_sgl_geom_point only adds class attribute", {
point <- new_sgl_geom_point()
all_attributes <- names(attributes(point))
expect_equal(all_attributes, "class")
})
test_that("new_sgl_geom_point sets empty list as base object", {
base_object <- unclass(new_sgl_geom_point())
expect_equal(base_object, list())
})
test_that("geom_name returns point", {
point <- new_sgl_geom_point()
actual <- geom_name(point)
expect_equal(actual, "point")
})
test_that("is_collective returns false", {
point <- new_sgl_geom_point()
expect_equal(is_collective(point), FALSE)
})
test_that("ggplot_geom returns geom_point function", {
point <- new_sgl_geom_point()
actual <- ggplot_geom(point)
expect_equal(actual, ggplot2::geom_point)
})
test_that("ggplot_aes returns correct aes", {
rgs <- sgl_to_rgs("
visualize
hp as x,
mpg as y,
cyl as color,
cyl as size
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(class(actual_aes)[1], "ggplot2::mapping")
expect_equal(names(actual_aes), c("x", "y", "size", "colour"))
expect_equal(ggplot2::as_label(actual_aes$x), "hp")
expect_equal(ggplot2::as_label(actual_aes$y), "mpg")
expect_equal(ggplot2::as_label(actual_aes$size), "cyl")
expect_equal(ggplot2::as_label(actual_aes$colour), "cyl")
})
test_that("ggplot_aes maps to cta generated columns correctly", {
rgs <- sgl_to_rgs("
visualize
bin(mpg) as x,
bin(hp, 5) as y,
count(*) as color,
avg(cyl) as size
from cars
group by
bin(mpg),
bin(hp, 5)
using points
scale by
log(x)
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(class(actual_aes)[1], "ggplot2::mapping")
expect_equal(names(actual_aes), c("x", "y", "size", "colour"))
expect_equal(ggplot2::as_label(actual_aes$x), "rsgl.log.bin.30.mpg")
expect_equal(ggplot2::as_label(actual_aes$y), "rsgl.linear.bin.5.hp")
expect_equal(ggplot2::as_label(actual_aes$colour), "rsgl.count")
expect_equal(ggplot2::as_label(actual_aes$size), "rsgl.linear.avg.cyl")
})
test_that(
paste(
"ggplot_aes maps to mix of cta generated",
"and non cta generated columns correctly"
),
{
rgs <- sgl_to_rgs("
visualize
bin(mpg) as x,
count(*) as y,
vs_cat as color
from (
select
*,
cast(vs as varchar) as vs_cat
from cars
)
group by
bin(mpg),
vs_cat
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(class(actual_aes)[1], "ggplot2::mapping")
expect_equal(names(actual_aes), c("x", "y", "colour"))
expect_equal(ggplot2::as_label(actual_aes$x), "rsgl.linear.bin.30.mpg")
expect_equal(ggplot2::as_label(actual_aes$y), "rsgl.count")
expect_equal(ggplot2::as_label(actual_aes$colour), "vs_cat")
}
)
test_that("ggplot_aes replaces theta and r with x and y", {
rgs <- sgl_to_rgs("
visualize
hp as theta,
mpg as r
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(names(actual_aes), c("x", "y"))
expect_equal(ggplot2::as_label(actual_aes$x), "hp")
expect_equal(ggplot2::as_label(actual_aes$y), "mpg")
})
test_that("ggplot_aes adds blank mapping for omitted y aesthetic", {
rgs <- sgl_to_rgs("
visualize
mpg as x
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(names(actual_aes), c("x", "y"))
expect_equal(ggplot2::as_label(actual_aes$x), "mpg")
expect_equal(actual_aes$y, "")
})
test_that("ggplot_aes adds blank mapping for omitted x aesthetic", {
rgs <- sgl_to_rgs("
visualize
mpg as y
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(names(actual_aes), c("x", "y"))
expect_equal(actual_aes$x, "")
expect_equal(ggplot2::as_label(actual_aes$y), "mpg")
})
test_that("ggplot_aes adds blank mapping for omitted r aesthetic", {
rgs <- sgl_to_rgs("
visualize
mpg as theta
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(names(actual_aes), c("x", "y"))
expect_equal(ggplot2::as_label(actual_aes$x), "mpg")
expect_equal(actual_aes$y, "")
})
test_that("ggplot_aes adds blank mapping for omitted theta aesthetic", {
rgs <- sgl_to_rgs("
visualize
mpg as r
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_equal(names(actual_aes), c("x", "y"))
expect_equal(actual_aes$x, "")
expect_equal(ggplot2::as_label(actual_aes$y), "mpg")
})
test_that("ggplot_aes has no group aes", {
rgs <- sgl_to_rgs("
visualize
hp as x,
mpg as y
from cars
using points
")
dfs <- result_dfs(rgs, test_con)
df <- dfs[[1]]
layer <- rgs$layers[[1]]
actual_aes <- ggplot_aes(layer$geom_expr$geom, layer, df, rgs$scales)
expect_false("group" %in% names(actual_aes))
})
describe("has_direction", {
it("returns FALSE", {
point <- new_sgl_geom_point()
expect_false(
has_direction(point)
)
})
})
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