Files
Maven/internal/memory/recalleval/recalleval_test.go
T
kami 98ee701e03 Let a note win a recall, not only a fact (#373)
The memory pass ran only after the notes-only gate had already rejected
the same note at the same score. Notes and facts share one vector index,
so a note that failed there failed again — the branch could only ever
return a fact.

Now the memory pass runs first: one search over everything Maven
remembers, one gate, and the memory that clearly matches best answers
(a note gets phrased, a fact is read back). The notes-only pass stays
behind it for notes the vector index does not hold. No threshold moved,
so the set of questions answered is unchanged — only which memory
answers them.

Fixture gained two mixed note+fact cases, so the answerable count goes
25 -> 27: hash recall@1 36.0% -> 37.0% (ratchet 0.32 unchanged, comment
updated), e5 recall@1 72.0% -> 70.4%, false recall still 1/5.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 13:30:38 +04:00

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package recalleval
import (
"context"
"fmt"
"os"
"path/filepath"
"strings"
"testing"
"unicode"
"github.com/kami/maven/internal/config"
"github.com/kami/maven/internal/memory"
"github.com/kami/maven/internal/router"
"github.com/kami/maven/internal/store"
)
// dim 1024 for the hash embedder: it is bag-of-words, so a narrower space
// collides tokens between unrelated notes and would measure the hash.
const hashDim = 1024
func TestLoadFixture(t *testing.T) {
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
if len(f.Cases) < 25 {
t.Errorf("%d cases, want >= 25", len(f.Cases))
}
// Filler is what stops recall@3 being free: three case notes and a top-3
// search would put the wanted note in the top 3 every time.
if len(f.Filler) < 10 {
t.Errorf("%d filler notes, want >= 10", len(f.Filler))
}
seen := map[string]bool{}
silent, en := 0, 0
for _, c := range f.Cases {
if c.ID == "" || seen[c.ID] {
t.Errorf("case %q: empty or duplicate id", c.ID)
}
seen[c.ID] = true
if c.Lang != "ru" && c.Lang != "en" {
t.Errorf("%s: lang %q, want ru|en", c.ID, c.Lang)
}
if c.Lang == "en" {
en++
}
if strings.TrimSpace(c.Query) == "" {
t.Errorf("%s: empty query", c.ID)
}
// Fewer than three notes and a wrong answer has nowhere to come from,
// so recall@1 would be near-free.
if len(c.Notes) < 3 {
t.Errorf("%s: %d notes, want >= 3", c.ID, len(c.Notes))
}
ids := map[string]bool{}
for _, n := range c.Notes {
if n.ID == "" || ids[n.ID] {
t.Errorf("%s: note %q empty or duplicate id", c.ID, n.ID)
}
ids[n.ID] = true
if strings.TrimSpace(n.Text) == "" {
t.Errorf("%s: note %q empty text", c.ID, n.ID)
}
if n.Kind != "note" && n.Kind != "fact" {
t.Errorf("%s: note %q kind %q, want note|fact", c.ID, n.ID, n.Kind)
}
}
if !c.Answerable() {
silent++
continue
}
if !ids[c.Want] {
t.Errorf("%s: want %q is not one of the case's notes", c.ID, c.Want)
}
}
// Both lanes need enough cases that a rate means something.
if silent < 5 {
t.Errorf("%d must-be-silent cases, want >= 5", silent)
}
if en < 5 {
t.Errorf("%d English cases, want >= 5", en)
}
}
// TestFixtureIsParaphrased — the fixture's claim to measuring recall at all. If
// a query repeats its note's words, cosine over a bag-of-words embedder gets it
// for free and the score says nothing about semantic recall. Half the query's
// words is the line: some shared vocabulary is natural ("nginx", "чай"), a copy
// is the failure.
func TestFixtureIsParaphrased(t *testing.T) {
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
for _, c := range f.Cases {
if !c.Answerable() {
continue
}
var want string
for _, n := range c.Notes {
if n.ID == c.Want {
want = n.Text
}
}
q := words(c.Query)
if len(q) == 0 {
continue
}
inNote := map[string]bool{}
for _, w := range words(want) {
inNote[w] = true
}
shared := 0
for _, w := range q {
if inNote[w] {
shared++
}
}
if frac := float64(shared) / float64(len(q)); frac > 0.5 {
t.Errorf("%s: query shares %.0f%% of its words with the note — not a paraphrase\n query: %q\n note: %q",
c.ID, 100*frac, c.Query, want)
}
}
}
// words — lowercased words of two runes or more, matching how the hash
// embedder tokenizes.
func words(s string) []string {
var out []string
for _, w := range strings.FieldsFunc(strings.ToLower(s), func(r rune) bool {
return !unicode.IsLetter(r) && !unicode.IsDigit(r)
}) {
if len([]rune(w)) > 1 {
out = append(out, w)
}
}
return out
}
// TestBestRecallMatchesDaemon — the harness duplicates bestRecall from
// cmd/mavend/recall.go (package main is not importable). This pins the copy to
// the original's three rules: no hits, below the gate, or no text ⇒ silence.
func TestBestRecallMatchesDaemon(t *testing.T) {
if got := bestRecall(nil, 0.55, 0); got != "" {
t.Errorf("no hits: got %q, want silence", got)
}
low := []memory.Result{{ID: "a", Score: 0.4, Meta: map[string]string{"text": "чай"}}}
if got := bestRecall(low, 0.55, 0); got != "" {
t.Errorf("below gate: got %q, want silence", got)
}
noText := []memory.Result{{ID: "a", Score: 0.9, Meta: map[string]string{}}}
if got := bestRecall(noText, 0.55, 0); got != "" {
t.Errorf("no text: got %q, want silence", got)
}
ok := []memory.Result{{ID: "a", Score: 0.9, Meta: map[string]string{"text": "чай"}}}
if got := bestRecall(ok, 0.55, 0); got != "чай" {
t.Errorf("above gate: got %q, want %q", got, "чай")
}
// Margin: a close runner-up means the embedder cannot tell the two apart,
// so Maven stays silent even though both clear the absolute floor.
close := []memory.Result{
{ID: "a", Score: 0.86, Meta: map[string]string{"text": "чай"}},
{ID: "b", Score: 0.85, Meta: map[string]string{"text": "кофе"}},
}
if got := bestRecall(close, 0.55, 0.03); got != "" {
t.Errorf("thin margin: got %q, want silence", got)
}
if got := bestRecall(close, 0.55, 0); got != "чай" {
t.Errorf("margin off: got %q, want %q", got, "чай")
}
clear := []memory.Result{
{ID: "a", Score: 0.86, Meta: map[string]string{"text": "чай"}},
{ID: "b", Score: 0.70, Meta: map[string]string{"text": "кофе"}},
}
if got := bestRecall(clear, 0.55, 0.03); got != "чай" {
t.Errorf("wide margin: got %q, want %q", got, "чай")
}
}
// TestHashRecallBaseline — the CI ratchet. HashEmbedder, so it needs no model
// files and is byte-for-byte reproducible.
//
// It is a floor, not a target. The hash embedder is lexical, so most of this
// fixture is unwinnable for it by construction; the number worth moving is
// TestONNXRecall's. Never compare a hash-embedder number to an ONNX one.
func TestHashRecallBaseline(t *testing.T) {
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
rep, err := Score(context.Background(), "recall+hash", router.NewHashEmbedder(hashDim), InMemory,
config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score: %v", err)
}
t.Log("\n" + rep.String() + rep.Failures())
t.Log("\ngate sweep:\n" + sweep(t, router.NewHashEmbedder(hashDim), f))
// 0.32 sits under the observed 0.370 recall@1 (was 0.360 over 25 answerable
// cases; the two mixed note+fact cases added with #373 make it 27).
const floorRecall1 = 0.32
if rep.Recall1() < floorRecall1 {
t.Errorf("recall@1 %.3f below ratchet %.2f — note recall regressed", rep.Recall1(), floorRecall1)
}
// The dangerous direction, asserted tightly and separately: answering from
// the wrong note is worse than a gap. Observed 0 under the hash floor.
if rep.FalseRecall > 1 {
t.Errorf("%d false recalls, want <= 1:\n%s", rep.FalseRecall, rep.Failures())
}
}
// TestPersistentStoreScoresTheSame — the deployed store is sqlite-backed
// (store.MemoryStore via st.VectorMemory()), not the in-memory fallback. Its
// Search is a separate implementation of the same cosine scan, so it gets its
// own run: a divergence here would mean recall quality depends on whether a
// database was configured.
func TestPersistentStoreScoresTheSame(t *testing.T) {
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
emb := router.NewHashEmbedder(hashDim)
inMem, err := Score(context.Background(), "recall+hash+memory", emb, InMemory, config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score in-memory: %v", err)
}
persistent, err := Score(context.Background(), "recall+hash+sqlite", emb, sqliteStores(t), config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score sqlite: %v", err)
}
t.Log("\n" + persistent.String())
if persistent.Rank1 != inMem.Rank1 || persistent.FalseRecall != inMem.FalseRecall {
t.Errorf("sqlite recall@1 %d/%d fr %d, in-memory %d/%d fr %d — the two backends disagree",
persistent.Rank1, persistent.Answerable, persistent.FalseRecall,
inMem.Rank1, inMem.Answerable, inMem.FalseRecall)
}
}
// sqliteStores returns a NewStore that hands each case its own plaintext
// database file, so cases stay isolated the way they are with InMemory.
func sqliteStores(t *testing.T) NewStore {
t.Helper()
dir := t.TempDir()
n := 0
return func() (memory.Store, func(), error) {
n++
st, err := store.Open(context.Background(), filepath.Join(dir, fmt.Sprintf("recall-%d.db", n)))
if err != nil {
return nil, nil, err
}
return st.VectorMemory(), func() { _ = st.Close() }, nil
}
}
// TestONNXRecall — the number that matters: the multilingual embedder homesrv
// actually runs. Opt-in via MAVEN_ONNX_LIB because deps/ is gitignored, exactly
// like TestONNXBaseline in internal/router/eval. `make eval-recall` points it at
// the vendored runtime.
//
// Reports rather than asserts. The gate sweep is the point: it prints
// answered-vs-false-recall at a range of query_min_score values, so the right
// threshold is read off data instead of guessed.
func TestONNXRecall(t *testing.T) {
lib := os.Getenv("MAVEN_ONNX_LIB")
if lib == "" {
t.Skip("MAVEN_ONNX_LIB unset — see AGENTS.md § Embedder model for intent routing")
}
model := filepath.Join("../../..", "models/embedder/multilingual-e5-small/model_quantized.onnx")
tok := filepath.Join("../../..", "models/embedder/multilingual-e5-small/tokenizer.json")
for _, p := range []string{lib, model, tok} {
if _, err := os.Stat(p); err != nil {
t.Skipf("missing %s: %v", p, err)
}
}
emb, err := router.NewONNXEmbedder(model, tok, lib)
if err != nil {
t.Skipf("onnx embedder unavailable: %v", err)
}
defer emb.Close()
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
rep, err := Score(context.Background(), "recall+onnx", emb, InMemory, config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score: %v", err)
}
t.Log("\n" + rep.String() + rep.Failures())
// Cached for the sweeps only: the headline run above must pay the real
// embedder cost so its latency numbers mean something.
cached := Cache(emb)
t.Log("\ngate sweep (margin off):\n" + sweep(t, cached, f))
t.Log("\nmargin sweep (gate 0.55):\n" + marginSweep(t, cached, f))
}
// sweep scores the fixture at a range of gates and renders one line each. Two
// columns matter: how many real questions get answered, and how many made-up
// ones get answered anyway. A gate is only defensible if some value keeps the
// first high and the second at zero.
func sweep(t *testing.T, emb router.Embedder, f Fixture) string {
t.Helper()
var b strings.Builder
for _, gate := range []float64{0.0, 0.30, 0.40, 0.50, 0.55, 0.60, 0.70, 0.80, 0.90} {
rep, err := Score(context.Background(), "sweep", emb, InMemory, gate, 0, f)
if err != nil {
t.Fatalf("sweep at %.2f: %v", gate, err)
}
fmt.Fprintf(&b, " gate %.2f: answered %d/%d (%.0f%%) false recall %d/%d\n",
gate, rep.Rank1-rep.Gated, rep.Answerable, 100*rep.Answered(), rep.FalseRecall, rep.NoAnswer)
}
return b.String()
}
// marginSweep is the same idea for the margin gate (top1 top2 > delta), with
// the absolute gate held at its default. The absolute score cannot separate a
// real hit from a made-up question under e5 — every score lands in one narrow
// band — so this sweep is the one that picks a number.
func marginSweep(t *testing.T, emb router.Embedder, f Fixture) string {
t.Helper()
var b strings.Builder
for _, d := range []float64{0, 0.002, 0.005, 0.008, 0.01, 0.012, 0.015, 0.02, 0.025, 0.03, 0.04, 0.05, 0.06} {
rep, err := Score(context.Background(), "margin sweep", emb, InMemory, config.DefaultQueryMinScore, d, f)
if err != nil {
t.Fatalf("margin sweep at %.3f: %v", d, err)
}
fmt.Fprintf(&b, " delta %.3f: answered %d/%d (%.0f%%) false recall %d/%d\n",
d, rep.Rank1-rep.Gated, rep.Answerable, 100*rep.Answered(), rep.FalseRecall, rep.NoAnswer)
}
return b.String()
}