//go:build linux || darwin || freebsd || openbsd || windows

package sqlite

import (
	"database/sql"
	"math"
	"testing"

	_ "modernc.org/sqlite/vec"
)

func TestVec(t *testing.T) {
	db, err := sql.Open(driverName, ":memory:")
	if err != nil {
		t.Fatal(err)
	}
	defer db.Close()

	_, err = db.Exec(`
-- https://github.com/asg017/sqlite-vec?tab=readme-ov-file#sample-usage	
create virtual table vec_examples using vec0(
  sample_embedding float[8]
);

-- vectors can be provided as JSON or in a compact binary format
insert into vec_examples(rowid, sample_embedding)
  values
    (1, '[-0.200, 0.250, 0.341, -0.211, 0.645, 0.935, -0.316, -0.924]'),
    (2, '[0.443, -0.501, 0.355, -0.771, 0.707, -0.708, -0.185, 0.362]'),
    (3, '[0.716, -0.927, 0.134, 0.052, -0.669, 0.793, -0.634, -0.162]'),
    (4, '[-0.710, 0.330, 0.656, 0.041, -0.990, 0.726, 0.385, -0.958]');
`)
	if err != nil {
		t.Fatal(err)
	}

	rs, err := db.Query(`
-- KNN style query
select
  rowid,
  distance
from vec_examples
where sample_embedding match '[0.890, 0.544, 0.825, 0.961, 0.358, 0.0196, 0.521, 0.175]'
order by distance
limit 2;
`)
	if err != nil {
		t.Fatal(err)
	}
	defer rs.Close()

	var (
		count     = 0
		rowids    = []string{"2", "1"}
		distances = []float64{2.38687372207642, 2.38978505134583}
	)
	for rs.Next() {
		var (
			rowid    string
			distance float64
		)
		if err := rs.Scan(&rowid, &distance); err != nil {
			t.Fatal(err)
		}
		if rowid != rowids[count] {
			t.Fatalf("unexpected rowid: got %s, want %s", rowid, rowids[count])
		}
		if math.Abs(distance-distances[count]) > 1e-6 {
			t.Fatalf("unexpected distance: got %f, want %f", distance, distances[count])
		}
		count++
	}
	if err := rs.Err(); err != nil {
		t.Fatal(err)
	}
	if count != len(rowids) {
		t.Fatalf("unexpected number of rows: got %d, want %d", count, len(rowids))
	}
}
