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Original file line number | Diff line number | Diff line change |
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@@ -1,26 +1,106 @@ | ||
app_driver_tm_missing_data <- function() { | ||
data <- within(simple_teal_data(), { | ||
require(nestcolor) | ||
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add_nas <- function(x) { | ||
x[sample(seq_along(x), floor(length(x) * runif(1, .05, .17)))] <- NA | ||
x | ||
} | ||
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iris[] <- lapply(iris, add_nas) | ||
mtcars[] <- lapply(mtcars, add_nas) | ||
mtcars[["cyl"]] <- as.factor(mtcars[["cyl"]]) | ||
mtcars[["gear"]] <- as.factor(mtcars[["gear"]]) | ||
}) | ||
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TealAppDriver$new( | ||
data = data, | ||
modules = tm_missing_data( | ||
label = "Missing data", | ||
plot_height = c(600, 400, 5000), | ||
plot_width = NULL, | ||
parent_dataname = "", | ||
ggtheme = "gray", | ||
ggplot2_args = list( | ||
"Combinations Hist" = teal.widgets::ggplot2_args( | ||
labs = list(subtitle = "Plot produced by Missing Data Module", caption = NULL) | ||
), | ||
"Combinations Main" = teal.widgets::ggplot2_args(labs = list(title = NULL)) | ||
), | ||
pre_output = NULL, | ||
post_output = NULL | ||
), | ||
timeout = 3000 | ||
) | ||
} | ||
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test_that("e2e: tm_missing_data initializes without errors and shows encodings", { | ||
skip_if_too_deep(5) | ||
app_driver <- app_driver_tm_missing_data() | ||
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app_driver$expect_no_shiny_error() | ||
app_driver$stop() | ||
}) | ||
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test_that("e2e: Default settings and visibility of the summary graph", { | ||
skip_if_too_deep(5) | ||
app_driver <- app_driver_tm_missing_data() | ||
# default summary tab | ||
testthat::expect_equal(app_driver$get_active_module_input("iris-summary_type"), | ||
"Summary") | ||
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testthat::expect_setequal(app_driver$get_active_module_input("iris-variables_select"), | ||
c("Petal.Length", "Sepal.Length", "Petal.Width", "Species", "Sepal.Width")) | ||
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app_driver$click(selector = app_driver$active_module_element("iris-filter_na")) | ||
app_driver$expect_no_validation_error() | ||
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app_driver$click(selector = app_driver$active_module_element("iris-any_na")) | ||
app_driver$expect_no_validation_error() | ||
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app_driver$set_module_input("iris-ggtheme", "classic", timeout_ = 10000) | ||
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app_driver$set_module_input(input_id = "iris-summary_type", "Summary") | ||
testthat::expect_true(app_driver$is_visible(app_driver$active_module_element("iris-summary_plot"))) | ||
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app_driver$stop() | ||
}) | ||
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test_that("e2e: Check default settings and visibility of the combinations graph and encodings", { | ||
skip_if_too_deep(5) | ||
app_driver <- app_driver_tm_missing_data() | ||
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app_driver$expect_no_shiny_error() | ||
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# combination graph | ||
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app_driver$set_module_input(input_id = "iris-summary_type", "Combinations") | ||
app_driver$expect_no_validation_error() | ||
testthat::expect_true(app_driver$is_visible(app_driver$active_module_element("iris-combination_plot"))) | ||
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app_driver$stop() | ||
}) | ||
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test_that("e2e: Validate functionality and UI response for 'By Variable Levels'", { | ||
skip_if_too_deep(5) | ||
app_driver <- app_driver_tm_missing_data() | ||
# BY variablelevels | ||
app_driver$set_module_input(input_id = "iris-summary_type", "By Variable Levels") | ||
app_driver$expect_no_validation_error() | ||
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testthat::expect_equal(app_driver$get_active_module_input("iris-group_by_var"), | ||
"Species") | ||
testthat::expect_setequal(app_driver$get_active_module_input("iris-group_by_vals"), | ||
c("NA", "setosa", "versicolor", "virginica")) | ||
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app_driver$set_module_input(input_id = "iris-group_by_vals", c("versicolor", "virginica")) | ||
app_driver$expect_no_validation_error() | ||
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testthat::expect_equal(app_driver$get_active_module_input("iris-count_type"), | ||
"counts") | ||
app_driver$set_module_input("iris-count_type", "proportions") | ||
testthat::expect_true(app_driver$is_visible(app_driver$active_module_element("iris-levels_table"))) | ||
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app_driver$stop() | ||
}) |