Nothing
test_that("Gazepoint Analysis 7.2 real export names are classified correctly", {
root <- system.file("extdata", "gazepoint_v72", package = "eyeprocess")
gaze <- file.path(root, "user3_all_gaze.csv")
fix <- file.path(root, "user3_fixations.csv")
summary <- file.path(root, "Data_Summary_export_02-20-26-01.28.43.csv")
expect_equal(gp_identify_export_type(gaze), "combined_biometrics")
expect_equal(gp_identify_export_type(fix), "fixations")
expect_equal(gp_identify_export_type(summary), "aoi_statistics")
expect_gte(is_gazepoint_export(gaze), 0.9)
expect_gte(is_gazepoint_export(fix), 0.9)
expect_gte(is_gazepoint_export(summary), 0.9)
})
test_that("Gazepoint TIMETICK is normalized while media time is retained", {
root <- system.file("extdata", "gazepoint_v72", package = "eyeprocess")
x <- read_gazepoint(file.path(root, "user3_all_gaze.csv"), quiet = TRUE)
expect_s3_class(x, "eye_dataset")
expect_equal(unique(x$recordings$participant_id), "User 3")
expect_true(all(diff(x$gaze_samples$timestamp_seconds) >= 0))
expect_true("media_time_seconds" %in% names(x$gaze_samples))
expect_true(any(diff(x$gaze_samples$media_time_seconds) < 0))
expect_true(all(is.finite(x$gaze_samples$timestamp_native)))
expect_equal(unique(x$streams$timestamp_unit), "ticks")
expect_true(any(x$streams$source_clock == "Gazepoint TIMETICK"))
expect_true(all(c(
"gsr_raw", "eda", "skin_conductance_level",
"skin_conductance_response", "heart_rate",
"interbeat_interval", "engagement_dial"
) %in% unique(x$biometrics$channel)))
expect_equal(unique(x$biometrics$unit[x$biometrics$channel == "interbeat_interval"]), "seconds")
})
test_that("Gazepoint fixation IDs are namespaced by media", {
root <- system.file("extdata", "gazepoint_v72", package = "eyeprocess")
gaze <- read_gazepoint(file.path(root, "user3_all_gaze.csv"), quiet = TRUE)
origin <- gaze$vendor_metadata$gazepoint_timebase$origin_tick
fix <- read_gazepoint_fixations(
file.path(root, "user3_fixations.csv"),
participant_id = "User 3",
recording_id = gaze$recordings$recording_id[1L],
origin_tick = origin,
quiet = TRUE
)
expect_false(anyDuplicated(fix$episodes$episode_id) > 0L)
expect_true(all(fix$episodes$end_time >= fix$episodes$start_time))
expect_equal(length(unique(fix$episodes$stimulus_id)), 2L)
expect_true(all(grepl("media_", stats::na.omit(fix$episodes$aoi_id))))
})
test_that("Gazepoint Data Summary exports become AOI definitions and features", {
root <- system.file("extdata", "gazepoint_v72", package = "eyeprocess")
path <- file.path(root, "Data_Summary_export_02-20-26-01.28.43.csv")
report <- read_gazepoint_summary(path)
expect_s3_class(report, "gazepoint_summary")
expect_equal(report$software_version, "v7.2.0")
expect_gt(nrow(report$aoi_summary), 0L)
expect_gt(nrow(report$aoi_statistics), 0L)
x <- read_gazepoint_aoi_statistics(path, quiet = TRUE)
expect_gt(nrow(x$aoi_definitions), 0L)
expect_gt(nrow(x$features), 0L)
expect_false(anyDuplicated(x$features$feature_id) > 0L)
expect_true(all(c("aoi_viewed", "time_viewed", "mean_heart_rate") %in% unique(x$features$feature_name)))
})
test_that("a genuine Gazepoint 7.2 folder imports as one paired recording", {
root <- system.file("extdata", "gazepoint_v72", package = "eyeprocess")
pairs <- gp_pair_exports(root)
expect_true(all(c("combined_biometrics", "fixations", "aoi_statistics") %in% pairs$export_type))
x <- read_gazepoint_folder(root, keep_raw = TRUE, quiet = TRUE)
expect_s3_class(x, "eye_dataset")
expect_equal(nrow(x$recordings), 1L)
expect_equal(unique(x$recordings$participant_id), "User 3")
expect_gt(nrow(x$gaze_samples), 0L)
expect_gt(nrow(x$episodes), 0L)
expect_gt(nrow(x$features), 0L)
expect_false(anyDuplicated(x$episodes$episode_id) > 0L)
result <- validate_eye_source(
root,
vendor = "gazepoint",
spec = format_validation_spec(require_raw_retention = TRUE, run_roundtrip = TRUE),
case_id = "gazepoint-v72-real-structure"
)
expect_true(result$status %in% c("pass", "warning"))
})
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