Nothing
library(usearchlite)
# Helper for Windows-safe cleanup - removes objects only if they exist
safe_on_exit <- function(tmp, env = parent.frame()) {
for (obj in c("idx", "idx2", "res")) {
if (exists(obj, envir = env, inherits = FALSE)) {
rm(list = obj, envir = env)
}
}
gc()
unlink(tmp, recursive = TRUE, force = TRUE)
}
test_that("index_new creates an index", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
expect_s3_class(idx, "usearchlite_index")
expect_equal(idx$dim, 3L)
expect_equal(normalizePath(idx$path), normalizePath(tmp))
expect_true(is.data.frame(idx$meta))
expect_true("id" %in% names(idx$meta))
})
test_that("index_add adds vectors and metadata", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0), meta = list(category = "a"))
idx <- index_add(idx, 2L, c(0, 1, 0), meta = list(category = "b"))
idx <- index_add(idx, 3L, c(0, 0, 1), meta = list(category = "a"))
expect_equal(nrow(idx$meta), 3L)
expect_equal(idx$meta$id, c(1L, 2L, 3L))
expect_equal(idx$meta$category, c("a", "b", "a"))
})
test_that("index_search finds nearest neighbors", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0), meta = list(category = "a"))
idx <- index_add(idx, 2L, c(0, 1, 0), meta = list(category = "b"))
idx <- index_add(idx, 3L, c(0, 0, 1), meta = list(category = "a"))
# Search for vector similar to first
res <- index_search(idx, c(1, 0, 0), k = 1L)
expect_equal(res$ids[1], 1L)
expect_true(!is.na(res$distances[1]))
expect_true(is.data.frame(res$meta))
})
test_that("index_search handles empty index", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
res <- index_search(idx, c(1, 0, 0), k = 5L)
expect_equal(length(res$ids), 5L)
expect_true(all(is.na(res$ids)))
expect_true(all(is.na(res$distances)))
})
test_that("index_search with filter", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0), meta = list(category = "a"))
idx <- index_add(idx, 2L, c(0.9, 0.1, 0), meta = list(category = "b"))
idx <- index_add(idx, 3L, c(0.8, 0.2, 0), meta = list(category = "a"))
# Filter for category "b" only
res <- index_search(idx, c(1, 0, 0), k = 1L,
filter = function(m) m$category == "b",
prefilter_k = 10L)
expect_equal(res$ids[1], 2L)
})
test_that("index persists to disk", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
# Create and populate index
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0), meta = list(category = "a"))
idx <- index_add(idx, 2L, c(0, 1, 0), meta = list(category = "b"))
# Release index before checking files (ensures finalizer runs)
rm(idx)
gc()
# Verify files exist
expect_true(file.exists(file.path(tmp, "index.usearch")))
expect_true(file.exists(file.path(tmp, "meta.rds")))
# Create new index object from same path
idx2 <- index_new(3L, tmp)
# Should have same metadata
expect_equal(nrow(idx2$meta), 2L)
expect_equal(idx2$meta$id, c(1L, 2L))
expect_equal(idx2$meta$category, c("a", "b"))
# Search should work
res <- index_search(idx2, c(1, 0, 0), k = 1L)
expect_equal(res$ids[1], 1L)
rm(idx2)
})
test_that("dimension mismatch is detected on add", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
expect_error(index_add(idx, 1L, c(1, 0)),
"vector length .* must match index dimension")
expect_error(index_add(idx, 1L, c(1, 0, 0, 0)),
"vector length .* must match index dimension")
})
test_that("dimension mismatch is detected on search", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0))
expect_error(index_search(idx, c(1, 0), k = 1L),
"query length .* must match index dimension")
})
test_that("dimension mismatch is detected on reload", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
# Create with dim 3
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0))
rm(idx)
gc()
# Try to reload with different dimension
expect_error(index_new(5L, tmp), "Dimension mismatch")
})
test_that("index_meta returns metadata", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0), meta = list(name = "first"))
idx <- index_add(idx, 2L, c(0, 1, 0), meta = list(name = "second"))
m <- index_meta(idx)
expect_true(is.data.frame(m))
expect_equal(nrow(m), 2L)
expect_equal(m$id, c(1L, 2L))
expect_equal(m$name, c("first", "second"))
})
test_that("batch search works", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0))
idx <- index_add(idx, 2L, c(0, 1, 0))
idx <- index_add(idx, 3L, c(0, 0, 1))
# Batch query with matrix
queries <- matrix(c(1, 0, 0,
0, 1, 0), nrow = 2, byrow = TRUE)
res <- index_search(idx, queries, k = 1L)
expect_true(is.matrix(res$ids))
expect_equal(dim(res$ids), c(2L, 1L))
expect_equal(res$ids[1, 1], 1L)
expect_equal(res$ids[2, 1], 2L)
})
test_that("print method works", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
idx <- index_add(idx, 1L, c(1, 0, 0))
expect_output(print(idx), "usearchlite_index")
expect_output(print(idx), "Dimension: 3")
})
test_that("negative id is rejected", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
idx <- index_new(3L, tmp)
expect_error(
index_add(idx, -1L, c(1, 0, 0)),
"id|negative|positive|>=\\s*0",
ignore.case = TRUE
)
})
test_that("invalid dim is rejected", {
tmp <- tempfile()
dir.create(tmp)
on.exit(safe_on_exit(tmp), add = TRUE)
expect_error(index_new(0L, tmp), "dim must be a single positive integer")
expect_error(index_new(-1L, tmp), "dim must be a single positive integer")
})
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