update

tests/test_struktur.py

@@ -125,3 +125,25 @@ async def test_kapitel_retry_und_fallback(monkeypatch):
     kaps = db.query("SELECT * FROM kapitel WHERE topic=?", (topic,))
     assert kaps and all(k["art"] == "fallback" for k in kaps)
     assert "kapitel_fallback" in {bf["art"] for bf in struktur.messen(ctx)}
+
+
+async def test_level_kalibrierung(monkeypatch):
+    import fake_agents
+    topic = topic_anlegen("level")
+    run = run_anlegen(topic)
+    ziel = db.insert("lernziele", topic=topic, text="Kann X", status="aktiv")
+    b_id = db.insert("bausteine", topic=topic, ziel_id=ziel, titel="B", ord=0, status="neu")
+    a1 = db.insert("atome", topic=topic, titel="Kern", typ="begriff", definition="d",
+                   level="M", status="neu", baustein_id=b_id, braucht=db.j([]))
+    a2 = db.insert("atome", topic=topic, titel="Detail", typ="aussage", definition="d",
+                   level="M", status="neu", baustein_id=b_id, braucht=db.j([]))
+
+    def judge(prompt):
+        return [{"atom": a1, "level": "E"}, {"atom": a2, "level": "S"},
+                {"atom": 99999, "level": "E"}, {"atom": a2, "level": "X"}]  # Müll ignorieren
+    monkeypatch.setitem(fake_agents._HANDLER, "Level-Kalibrierung", judge)
+    ctx = llm.Kontext(run, topic, "minimax")
+    ctx.ebene = "struktur"
+    await struktur._level_kalibrieren(ctx)
+    assert db.one("SELECT level FROM atome WHERE id=?", (a1,))["level"] == "E"
+    assert db.one("SELECT level FROM atome WHERE id=?", (a2,))["level"] == "S"