add-test-to-animint2

[busttech]

This solution of the hard-test(gsoc)
video = https://www.youtube.com/watch?v=Gog2Sv7t_cE
The visualization I used for testing --> https://busttech.github.io/deploy/

[tdhock]

please remove mytests.r file

[tdhock]

this test does not use the renderer. please show that you understand how to inspect the output of the chromote renderer, and simulate interaction.

• first add an expectation about info$html (maybe all of the regions are shown by default at first?)
• then please use clickID() to simulate interaction (maybe with your legend?),
• and then use getHTML() to get the HTML after the simulated interaction,
• and then finally use another expectation about what the HTML looks like after interaction.

also this world bank data viz is not a very interesting test case, because you have no clickSelects/showSelected here. Instead can you write a test based on the animation example you created? https://busttech.github.io/deploy2/

[tdhock]

also for the video can you please narrate next time? use your voice to explain what you are doing, what you observe after executing each command, etc.

[busttech]

Sir I was not able to fullfill the changes that you given but I changed the test case to the animation example that I created https://busttech.github.io/deploy2/ .Can you please provide any manual or previous test cases so I can fullfill the other changes also.

faces <- c("Head", "Tail", "Stand")
prob <- c(0.45, 0.45, 0.1)
n_tosses <- 100

flips <- sample(faces, size = n_tosses, replace = TRUE, prob = prob)
flip_data <- data.frame(
  toss = seq_len(n_tosses),
  result = flips
)

flip_data <- flip_data %>% 
  mutate(HEAD = cumsum(result == "Head"),
         TAIL = cumsum(result == "Tail"),
         STAND = cumsum(result == "Stand"))

flip_data_long <- flip_data %>% 
  pivot_longer(cols = c("HEAD", "TAIL", "STAND"), 
               names_to = "outcome", 
               values_to = "count") %>% 
  mutate(outcome = factor(outcome, levels = c("HEAD", "TAIL", "STAND"))) 

flip_data$result <- factor(flip_data$result, levels = c("Head", "Tail", "Stand"))

bar_plot <- ggplot(flip_data_long) +
  geom_bar(aes(x = outcome, y = count, fill = outcome), 
           stat = "identity", 
           position = "identity", 
           showSelected = "toss") +
  geom_text(aes(x = outcome, y = count, label = count), 
            vjust = 0, 
            showSelected = "toss") +
  labs(title = "Coin Flip Frequencies (Interactive)", 
       x = "Face", 
       y = "Count") +
  scale_x_discrete(labels = c("Head", "Tail", "Stand")) +
  scale_fill_manual(values = c("HEAD" = "red", 
                               "TAIL" = "green", 
                               "STAND" = "blue")) +
  guides(fill = "none")



line_plot <- ggplot(flip_data, aes(x = toss)) +
  geom_line(aes(y = HEAD / toss, color = result, group = result), size = 1) +
  geom_point(aes(y = HEAD / toss, color = result), size = 2, showSelected = "toss") +
  geom_tallrect(aes(xmin = toss - 0.5, xmax = toss + 0.5), alpha = 0.2, clickSelects = "toss") +
  labs(title = "Cumulative Frequency Over Tosses (Interactive)", 
       x = "Toss Number", 
       y = "Cumulative Frequency") +
  scale_color_manual(values = c("Head" = "red", 
                                "Tail" = "green", 
                                "Stand" = "blue"))



plots <- list(
  frequency = bar_plot,         
  cumulative = line_plot,       
  time = list(variable = "toss", ms = 200)
)


animint(plots)

# Test that the visualization generates without warnings or errors
test_that("Flip-coin animation generated without any warnings or errors", {
  expect_no_warning({
    info <- animint2HTML(plots)
  })
})

[tdhock]

please grep tests/testthat/test-renderer-* files for "clickID" to see examples.