Files
hyperguild/ingestion/internal/embed/embed_test.go
Mathias 57462b52ff
All checks were successful
CI / Lint / Test / Vet (push) Successful in 15s
CI / Mirror to GitHub (push) Successful in 3s
feat(brain): hybrid BM25 + pgvector retrieval (opt-in)
Wires nomic-embed-text (iguana ollama) + pgvector on the shared
postgres18 into brain_query / brain_answer via Reciprocal Rank Fusion.
Pure BM25 stays the default; setting BRAIN_PG_DSN and BRAIN_EMBED_URL
together opts in. Setting one without the other is misconfiguration →
exit 1.

New packages:

- internal/embed
  Client.Embed(ctx, text) → []float32 via POST {URL}/api/embed.
  Defaults to nomic-embed-text:latest (768 dim). nil-on-empty-URL so
  callers gate on a single nil check.

- internal/vectorstore
  PGStore wraps a pgxpool against postgres18. Init creates
  brain_embeddings(path PK, vector(768), updated_at) + HNSW cosine
  index idempotently. Upsert / Delete / Search / KnownPaths.
  Sync(brainDir, store, embedder) diffs brain/wiki/ against the store
  and upserts new files / deletes removed ones; StartSync runs it on
  a ticker (default 300s). Integration tests gated by BRAIN_PG_TEST_DSN.

- scripts/brain-embeddings-init.sql
  One-time DBA setup: brain DB, brain_app role, vector extension,
  GRANTs. Idempotent.

Search layer:

- search.QueryOptions gains Vector + Embedder fields.
- QueryContext is the cancellable variant; Query stays for callers.
- When both are set, BM25 (top-N) and pgvector (top-4N) candidates
  merge via Reciprocal Rank Fusion (k=60, Cormack et al. 2009 — no
  tuning knob, robust to scale differences between rankers).
- Vector-only hits are hydrated from disk so callers see uniform
  Result records (path, title, excerpt, wing, hall, score).
- Wing/hall filters still apply to vector candidates via path-prefix.
- On embedder/vector errors the search falls back to BM25 — embedding
  outage degrades quality but doesn't take the brain offline.

MCP wiring:

- mcp.Server.WithHybridRetrieval(v, e) opt-in setter, same shape as
  WithReranker.
- brainQuery and brainAnswer pass the wired vector/embedder through
  to search.QueryContext.

REST:

- POST /backfill-embeddings drives Sync synchronously. Returns
  {added, deleted, errors[]}. 503 when feature is unconfigured.

cmd/server/main.go:

- BRAIN_PG_DSN + BRAIN_EMBED_URL together enable hybrid; one alone
  → exit 1.
- vectorAdapter bridges *PGStore (returns []Hit) to
  search.VectorSearcher (which takes []VectorHit) without either
  package importing the other.
- BRAIN_EMBED_SYNC_INTERVAL (default 300s) controls the background
  Sync ticker.

Backend pivot from Qdrant to pgvector recorded in DECISIONS.md
2026-05-18 (supersedes 2026-04-08): postgres18 already runs in
databases/ ns, Qdrant was never deployed, one engine beats two.

Dependency: github.com/jackc/pgx/v5 — modern, native pgvector via
parametric vector literals.

Tests:
- embed.Client: empty-URL nil, request shape, dimension, upstream
  error propagation, empty-text rejection.
- vectorstore.PGStore: dimension validation (unit); upsert/search/
  KnownPaths (integration, BRAIN_PG_TEST_DSN-gated).
- vectorstore.Sync: adds new files, skips known, deletes
  disappeared, skips _index.md, no-op when nil, collects embedder
  errors.
- search.Query: hybrid promotes vector-only hits via RRF; falls
  back to BM25 on embedder error.

Closes hyperguild#8.
2026-05-18 23:11:25 +02:00

75 lines
2.2 KiB
Go

package embed_test
import (
"context"
"encoding/json"
"net/http"
"net/http/httptest"
"testing"
"github.com/mathiasbq/hyperguild/ingestion/internal/embed"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestNew_EmptyURLReturnsNil(t *testing.T) {
assert.Nil(t, embed.New("", "model"))
}
func TestEmbed_ReturnsVector(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
assert.Equal(t, "/api/embed", r.URL.Path)
var req map[string]any
require.NoError(t, json.NewDecoder(r.Body).Decode(&req))
assert.Equal(t, "nomic", req["model"])
assert.Equal(t, "hello", req["input"])
_ = json.NewEncoder(w).Encode(map[string]any{
"embeddings": [][]float32{{0.1, 0.2, 0.3}},
})
}))
defer srv.Close()
c := embed.New(srv.URL, "nomic")
require.NotNil(t, c)
v, err := c.Embed(context.Background(), "hello")
require.NoError(t, err)
assert.Equal(t, []float32{0.1, 0.2, 0.3}, v)
}
func TestEmbed_StripsTrailingSlashFromURL(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
assert.Equal(t, "/api/embed", r.URL.Path)
_ = json.NewEncoder(w).Encode(map[string]any{"embeddings": [][]float32{{1.0}}})
}))
defer srv.Close()
c := embed.New(srv.URL+"/", "nomic")
_, err := c.Embed(context.Background(), "x")
require.NoError(t, err)
}
func TestEmbed_PropagatesUpstreamError(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, _ *http.Request) {
w.WriteHeader(http.StatusBadGateway)
}))
defer srv.Close()
c := embed.New(srv.URL, "m")
_, err := c.Embed(context.Background(), "x")
require.Error(t, err)
}
func TestEmbed_RejectsEmptyEmbeddingsArray(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, _ *http.Request) {
_ = json.NewEncoder(w).Encode(map[string]any{"embeddings": [][]float32{}})
}))
defer srv.Close()
c := embed.New(srv.URL, "m")
_, err := c.Embed(context.Background(), "x")
require.Error(t, err)
}
func TestEmbed_RejectsEmptyText(t *testing.T) {
c := embed.New("http://127.0.0.1:1", "m")
_, err := c.Embed(context.Background(), "")
require.Error(t, err)
}