Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/missionmatch / internal/integration/ai_phase8_integration_test.go |
| Date | Not specified in source |
| Repository | Janady13/missionmatch |
| Revision | 720d47fae476b0d38477ae4401697d372b1ea2bc |
| Branch | feature/opportunity-to-outcome |
| Path or archive member | internal/integration/ai_phase8_integration_test.go |
| Original SHA-256 | 7583c606f840994bc9dc9b7ab954a8692dbcbd34c950edf2e5c58d4696279106 |
| Git blob SHA | 6762be4e38dde68dc15dc6c3354e6c7cdad30582 |
| Reading-copy SHA-256 | 7583c606f840994bc9dc9b7ab954a8692dbcbd34c950edf2e5c58d4696279106 |
Recovered source transcript
Download complete source text ↓104 lines · 3.3 KB
//go:build integration
package integration
import (
"context"
"os"
"testing"
"time"
"github.com/missionworkforce/missionmatch/internal/modules/ai"
"github.com/missionworkforce/missionmatch/internal/platform/inference"
)
func aiClient(t *testing.T) *inference.Client {
t.Helper()
url := os.Getenv("MM_MEGAMIND_URL")
if url == "" {
t.Skip("MM_MEGAMIND_URL unset; skipping the AI layer integration test")
}
c, err := inference.New(inference.Config{BaseURL: url, EmbedModel: "all-minilm", Dimension: 384,
Timeout: 60 * time.Second, Token: os.Getenv("MM_MEGAMIND_TOKEN")})
if err != nil {
t.Fatalf("inference client: %v", err)
}
return c
}
// TestAIMemoryErasure proves per tenant memory and that the right to erasure wipes it: a semantic memory
// about a candidate is stored, recalled, and then removed by ForgetCandidate.
func TestAIMemoryErasure(t *testing.T) {
client := aiClient(t)
org := seedOrg(t)
cand := seedCandidate(t, org, "secret", "active", true)
ctx := ctxOrg(org)
mem := ai.NewMemory(appDB, client)
if err := mem.Store(ctx, &cand.ID, "semantic", "this candidate excelled at incident response under pressure"); err != nil {
t.Fatalf("store memory: %v", err)
}
recalled, err := mem.Recall(ctx, "incident response", 5)
if err != nil {
t.Fatalf("recall: %v", err)
}
if len(recalled) == 0 {
t.Fatal("a stored semantic memory should be recallable by similarity")
}
if err := mem.ForgetCandidate(ctx, cand.ID); err != nil {
t.Fatalf("forget: %v", err)
}
// Count via the migrator (BYPASSRLS) to be certain the rows are physically gone, not just hidden.
var remaining int
if err := migrator.QueryRow(context.Background(), "SELECT count(*) FROM ai_memory WHERE candidate_id=$1", cand.ID).Scan(&remaining); err != nil {
t.Fatalf("count: %v", err)
}
if remaining != 0 {
t.Fatalf("erasure must wipe AI memory about the candidate, %d rows survived", remaining)
}
}
// TestKAGSkillAdjacency proves the KAG skill graph is live over the populated embeddings.
func TestKAGSkillAdjacency(t *testing.T) {
if os.Getenv("MM_MEGAMIND_URL") == "" {
t.Skip("requires the populated skills.embedding (run on the backfilled database)")
}
org := seedOrg(t)
adj, err := ai.SkillAdjacency(ctxOrg(org), appDB, "AWS", 5)
if err != nil {
t.Fatalf("SkillAdjacency: %v", err)
}
if len(adj) == 0 {
t.Skip("no skill embeddings in this database; run cmd/embed-backfill first")
}
for _, a := range adj {
if a.Name == "AWS" {
t.Fatal("a skill must not be its own neighbor")
}
}
}
// TestTAGIntentRunsReadOnly proves a curated TAG intent executes RLS scoped and returns the database's
// own aggregate (no model authored SQL).
func TestTAGIntentRunsReadOnly(t *testing.T) {
org := seedOrg(t)
seedCandidate(t, org, "secret", "active", true)
seedCandidate(t, org, "top_secret", "active", true)
intent, ok := ai.IntentByName("count_candidates_by_clearance")
if !ok {
t.Fatal("the count_candidates_by_clearance intent must be registered")
}
res, err := ai.ExecuteIntent(ctxOrg(org), appDB, intent, []any{""})
if err != nil {
t.Fatalf("ExecuteIntent: %v", err)
}
if len(res.Columns) != 2 || res.Columns[0] != "clearance_level" {
t.Fatalf("unexpected columns: %v", res.Columns)
}
if len(res.Rows) == 0 {
t.Fatal("the org has candidates; the aggregate should return rows")
}
}