Nothing
test_that("get_nodes_edges processes dag.json correctly", {
testthat::skip_on_cran()
test_dag_path <- "test-data/dag.json"
actual_output <- get_nodes_edges(path_dag = test_dag_path)
expected_output <- list(
nodes = data.frame(
id = c(
"mtcars",
"mtcars_am",
"mtcars_head",
"mtcars_tail",
"mtcars_mpg",
"page"
),
label = c(
"mtcars",
"mtcars_am",
"mtcars_head",
"mtcars_tail",
"mtcars_mpg",
"page"
),
group = c("rxp_r", "rxp_r", "rxp_r", "rxp_r", "rxp_r", "rxp_qmd"),
pipeline_group = rep("default", 6),
pipeline_color = rep(NA_character_, 6),
stringsAsFactors = FALSE
),
edges = data.frame(
from = c(
"mtcars",
"mtcars_am",
"mtcars_head",
"mtcars_tail",
"mtcars_head",
"mtcars_tail",
"mtcars_mpg"
),
to = c(
"mtcars_am",
"mtcars_head",
"mtcars_tail",
"mtcars_mpg",
"page",
"page",
"page"
),
arrows = rep("to", 7),
stringsAsFactors = FALSE
)
)
expect_equal(actual_output, expected_output)
})
test_that("rxp_dag_for_ci generates correct .dot file", {
testthat::skip_on_cran()
test_dag_path <- "test-data/dag.json"
nodes_and_edges <- get_nodes_edges(path_dag = test_dag_path)
snapshot_rxp_dag_for_ci <- function(nodes_and_edges) {
tfile <- tempfile(pattern = "dag_ci", fileext = ".dot")
rxp_dag_for_ci(nodes_and_edges = nodes_and_edges, output_file = tfile)
tfile
}
expect_snapshot_file(
path = snapshot_rxp_dag_for_ci(nodes_and_edges),
name = "rxp_dag_for_ci.dot"
)
})
test_that("get_nodes_edges errors if dag.json is missing", {
# Use a path that is highly unlikely to exist
non_existent_path <- "a/very/unlikely/path/to/dag.json"
# Expect the specific error message
expect_error(
get_nodes_edges(path_dag = non_existent_path),
regexp = "dag\\.json missing! Did you run 'rxp_populate\\(\\)'\\?",
fixed = FALSE # Use regexp matching because of special characters
)
})
test_that("unnest_all_columns correctly unnests data frames", {
# Create a test data frame with a list column containing data frames
test_df <- data.frame(
id = 1:2,
stringsAsFactors = FALSE
)
test_df$nested <- list(
data.frame(
colA = c("a", "b"),
colB = c("x", "y"),
stringsAsFactors = FALSE
),
data.frame(colA = c("c", "d"), colB = c("z", "w"), stringsAsFactors = FALSE)
)
result <- unnest_all_columns(test_df)
expected <- data.frame(
id = c(1, 2, 1, 2),
colA = c("a", "b", "c", "d"),
colB = c("x", "y", "z", "w"),
stringsAsFactors = FALSE
)
expect_equal(result, expected)
})
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