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fb4d8fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | import { describe, expect, it } from "vitest";
import { bm25RankToScore, buildFtsQuery, mergeHybridResults } from "./hybrid.js";
describe("memory hybrid helpers", () => {
it("buildFtsQuery tokenizes and AND-joins", () => {
expect(buildFtsQuery("hello world")).toBe('"hello" AND "world"');
expect(buildFtsQuery("FOO_bar baz-1")).toBe('"FOO_bar" AND "baz" AND "1"');
expect(buildFtsQuery(" ")).toBeNull();
});
it("bm25RankToScore is monotonic and clamped", () => {
expect(bm25RankToScore(0)).toBeCloseTo(1);
expect(bm25RankToScore(1)).toBeCloseTo(0.5);
expect(bm25RankToScore(10)).toBeLessThan(bm25RankToScore(1));
expect(bm25RankToScore(-100)).toBeCloseTo(1);
});
it("mergeHybridResults unions by id and combines weighted scores", () => {
const merged = mergeHybridResults({
vectorWeight: 0.7,
textWeight: 0.3,
vector: [
{
id: "a",
path: "memory/a.md",
startLine: 1,
endLine: 2,
source: "memory",
snippet: "vec-a",
vectorScore: 0.9,
},
],
keyword: [
{
id: "b",
path: "memory/b.md",
startLine: 3,
endLine: 4,
source: "memory",
snippet: "kw-b",
textScore: 1.0,
},
],
});
expect(merged).toHaveLength(2);
const a = merged.find((r) => r.path === "memory/a.md");
const b = merged.find((r) => r.path === "memory/b.md");
expect(a?.score).toBeCloseTo(0.7 * 0.9);
expect(b?.score).toBeCloseTo(0.3 * 1.0);
});
it("mergeHybridResults prefers keyword snippet when ids overlap", () => {
const merged = mergeHybridResults({
vectorWeight: 0.5,
textWeight: 0.5,
vector: [
{
id: "a",
path: "memory/a.md",
startLine: 1,
endLine: 2,
source: "memory",
snippet: "vec-a",
vectorScore: 0.2,
},
],
keyword: [
{
id: "a",
path: "memory/a.md",
startLine: 1,
endLine: 2,
source: "memory",
snippet: "kw-a",
textScore: 1.0,
},
],
});
expect(merged).toHaveLength(1);
expect(merged[0]?.snippet).toBe("kw-a");
expect(merged[0]?.score).toBeCloseTo(0.5 * 0.2 + 0.5 * 1.0);
});
});
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