Files
glpi-neural-brain/internal/engine/autonomous_research_test.go
jbergner 4dc90ceffe
All checks were successful
release-tag / release-image (push) Successful in 2m19s
Update 9 - Autonomes Lernen
2026-08-05 22:51:21 +02:00

82 lines
3.1 KiB
Go

package engine
import (
"testing"
"time"
"github.com/local/glpi-neural-brain/internal/graph"
"github.com/local/glpi-neural-brain/internal/model"
)
func TestBuildAutonomousCandidatesPrioritizesContradictionWithoutEvidence(t *testing.T) {
now := time.Now().UTC()
snapshot := model.Snapshot{
Nodes: []model.Node{
{ID: "a", Kind: "knowledge", Label: "ZFS Restore", Status: "production", UpdatedAt: now.Add(-400 * 24 * time.Hour), Metadata: map[string]any{"source": "internal-category"}},
{ID: "b", Kind: "knowledge", Label: "ZFS Key Import", Status: "production", UpdatedAt: now, Metadata: map[string]any{"source": "internal-category"}},
},
Edges: []model.Edge{{ID: "e", Source: "a", Target: "b", Type: "contradicts", Status: "accepted"}},
}
candidates := buildAutonomousCandidates(snapshot, graph.NodeFilter{Sources: []string{"internal-category"}}, 8)
if len(candidates) == 0 {
t.Fatal("expected a research candidate")
}
candidate := candidates[0]
if candidate.Priority < .75 {
t.Fatalf("expected contradiction/no-evidence candidate to be high priority, got %.3f", candidate.Priority)
}
if len(candidate.SeedNodeIDs) < 2 {
t.Fatalf("expected related production nodes as seeds, got %#v", candidate.SeedNodeIDs)
}
if got := candidate.Signals["contradictions"]; got != 1 {
t.Fatalf("expected contradiction signal, got %#v", got)
}
}
func TestBuildAutonomousCandidatesHonorsExactThinkingSource(t *testing.T) {
snapshot := model.Snapshot{Nodes: []model.Node{
{ID: "a", Kind: "knowledge", Label: "Allowed", Status: "production", Metadata: map[string]any{"source": "internal-category"}},
{ID: "b", Kind: "knowledge", Label: "Wrong case", Status: "production", Metadata: map[string]any{"source": "Internal-Category"}},
}}
candidates := buildAutonomousCandidates(snapshot, graph.NodeFilter{Sources: []string{"internal-category"}}, 8)
for _, candidate := range candidates {
if candidate.Topic == "Wrong case" {
t.Fatal("candidate source matching must stay exact and case-sensitive")
}
}
}
func TestBuildAutonomousQueryQueueUsesBothLanguagesAndRounds(t *testing.T) {
queue := buildAutonomousQueryQueue(
[]string{"Wie wird ein Restore validiert?", "Welche Schlüssel werden benötigt?"},
[]string{"ZFS Restore validieren", "ZFS Schlüssel importieren", "ZFS Ersatzsystem"},
[]string{"ZFS restore validation", "ZFS key import"},
3,
)
if len(queue) != 5 {
t.Fatalf("expected five planned queries, got %d", len(queue))
}
languages := map[string]bool{}
maxRound := 0
for _, item := range queue {
languages[item.Language] = true
if item.Round > maxRound {
maxRound = item.Round
}
}
if !languages["de-DE"] || !languages["en-US"] {
t.Fatalf("expected German and English queries, got %#v", languages)
}
if maxRound < 2 || maxRound > 3 {
t.Fatalf("unexpected round assignment: %d", maxRound)
}
}
func TestAutonomousDedupeKeyIsStableAcrossSeedOrder(t *testing.T) {
a := autonomousDedupeKey(" ZFS Restore ", []string{"b", "a"})
b := autonomousDedupeKey("zfs restore", []string{"a", "b"})
if a != b {
t.Fatalf("dedupe key should normalize topic spacing/case and seed order: %q != %q", a, b)
}
}