test_that("pi_summary is exported and animals with less than minimum exists have a NA PI", {
pkg_name <- testing_package()
experiment_folder <- system.file(
"extdata/toy", package = pkg_name,
mustWork = TRUE
)
pi <- toy_pi_data()
min_exits_required <- 5
na_rows <- (pi$appetitive + pi$aversive) < min_exits_required
pi[na_rows, "preference_index"] <- NA
pi_path <- export_pi_summary(experiment_folder = experiment_folder, pi = pi)
raw_data <- readLines(pi_path)[-1]
# all saved pi in the rows where pi is NA is also NA
expect_equal(
raw_data[na_rows] %>%
lapply(., function(x) strsplit(x, split = ",") %>% unlist %>% .[4]) %>%
unlist %>%
unique,
"NA"
)
# none of the saved pi in the rows where the pi is not NA is NA
expect_false(
any(is.na(raw_data[!na_rows] %>%
lapply(., function(x) strsplit(x, split = ",") %>% unlist %>% .[4]) %>%
unlist
))
)
})
test_that("main summary matches expectation in the saved file", {
pkg_name <- testing_package()
experiment_folder <- system.file(
"extdata/toy", package = pkg_name,
mustWork = TRUE
)
tracker_data <- toy_tracker_small()
# include rois 10 and 11 in tracker data
tracker_data_01 <- toy_tracker_small()
tracker_data_10 <- tracker_data_01[tracker_data_01$id == "toy|01", ]
tracker_data_10$id <- "toy|10"
tracker_data_10$region_id <- 10
tracker_data_11 <- tracker_data_01[tracker_data_01$id == "toy|02", ]
tracker_data_11$id <- "toy|11"
tracker_data_11$region_id <- 11
tracker_data <- rbind(
tracker_data,
tracker_data_10,
tracker_data_11
)
controller_data <- toy_controller_small()
summmary_data <- export_summary_new(
experiment_folder = experiment_folder,
output_csv = NULL,
tracker_data = tracker_data,
controller_data = controller_data
)
expect_snapshot_value(
summmary_data,
style = "serialize", cran = FALSE
)
})
test_that("export_dataset runs without issues", {
pkg_name <- testing_package()
experiment_folder <- system.file(
"extdata/toy", package = pkg_name,
mustWork = TRUE
)
tracker_data <- toy_tracker_small()
controller_data <- toy_controller_small()
pi_data <- toy_pi_data()
analysis <- list(pi=pi_data[pi_data$region_id %in% unique(tracker_data$region_id), ])
dataset <- list(
tracker = tracker_data,
controller = controller_data
)
all_exports <- export_dataset(experiment_folder = experiment_folder,
dataset = dataset, analysis = analysis)
expect_true(file.exists(
build_filename(experiment_folder, metadata = load_metadata(experiment_folder),
key = "SUMMARY")
))
expect_true(file.exists(
build_filename(experiment_folder, metadata = load_metadata(experiment_folder),
key = "PI")
))
expect_snapshot_value(
all_exports,
style = "serialize", cran = FALSE
)
})
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