Nothing
test_that("op_batch_create_csv processes provided example dyad correctly", {
# Get the path to the example dataset included in the package
sample_data_path <- system.file("extdata/json_files/", package = "duet")
# Create a mock dyad directory
input_base_path <- file.path(tempdir(), "json_files")
dyad_dir <- file.path(input_base_path, "dyad_1")
# Ensure the directory is fresh
if (dir.exists(dyad_dir)) {
unlink(dyad_dir, recursive = TRUE)
}
dir.create(dyad_dir, recursive = TRUE)
# Copy all JSON files into the mock dyad directory
file.copy(list.files(sample_data_path, full.names = TRUE), dyad_dir)
output_base_path <- file.path(tempdir(), "output_csvs")
# Ensure the output directory is fresh
if (dir.exists(output_base_path)) {
unlink(output_base_path, recursive = TRUE)
}
# Run the batch processing function
op_batch_create_csv(
input_base_path = input_base_path,
output_base_path = output_base_path,
include_filename = TRUE,
include_labels = FALSE,
overwrite = FALSE,
frame_width = 1920,
model = 'body'
)
# Verify the output directory and files
dyad_output_path <- file.path(output_base_path, "dyad_1")
# Check if the output directory exists
expect_true(dir.exists(dyad_output_path), info = "Output directory was not created")
# Check if CSV files were created
csv_files <- list.files(dyad_output_path, pattern = "\\.csv$", full.names = TRUE)
expect_true(length(csv_files) > 0, info = "No CSV files were created in the output directory")
# Verify the structure of the generated CSV files
for (csv_file in csv_files) {
csv_data <- read.csv(csv_file)
expect_true("frame" %in% names(csv_data), info = paste("Frame column missing in", csv_file))
expect_true(any(grepl("^x\\d+", names(csv_data))), info = paste("Keypoint columns missing in", csv_file))
expect_true(any(grepl("^y\\d+", names(csv_data))), info = paste("Keypoint columns missing in", csv_file))
}
# Cleanup: Remove temporary directories and files
unlink(input_base_path, recursive = TRUE)
unlink(output_base_path, recursive = TRUE)
})
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