update

backend/tests/test_konsolidierung.py

@@ -0,0 +1,507 @@
+"""Sub-Konsolidierung: In-Block-Panel (blocks._konsolidiere_subblocks) und
+Cross-Block-Barrier (board_artefacts._proc_konsolidierung) — Judges gefaked, gegen Test-DB."""
+
+import json
+
+import numpy as np
+import pytest
+
+import blocks
+import board_artefacts as ba
+from kanban import Flow
+from pipeline import FAILED, OK, GenContext
+
+TOPIC = "konsolidierung"
+
+
+def _ctx():
+    return GenContext(topic=TOPIC, provider="test", is_cancelled=lambda: False)
+
+
+def _fake_slot(antworten):
+    """run_single_slot-Fake: pro Judge-Key eine Antwort; schreibt via payload (wie der Engine-Sink)."""
+    calls = []
+
+    async def fake(ctx, label, *, key, prompt, role, capabilities, payload, timeout):
+        calls.append({"key": key, "prompt": prompt})
+        j = key.rsplit("-", 1)[-1]  # "j1"/"j2"
+        antwort = antworten.get(j)
+        if antwort is None:
+            return FAILED, None
+        return OK, payload((0, json.dumps(antwort), ""))
+
+    fake.calls = calls
+    return fake
+
+
+async def _seed_block(db, bnorm, subs):
+    for s in subs:
+        await db.put_subblock(TOPIC, bnorm, blocks._norm_title(s), bnorm.title(), s, status="consensus")
+
+
+# ── In-Block ────────────────────────────────────────────────────────────────────────
+
+async def test_merge_on_unanimity(testdb, tmp_path, monkeypatch):
+    """Beide Judges gruppieren 1+2 → Gewinner (mehr key_points) bleibt, facts-Union,
+    Verlierer wird DB-variant und fliegt aus raw/facts_map."""
+    db = testdb
+    subs = ["Durchstreichung: ~~text~~", "Durchstreichung: ~~text~~ streicht Text durch", "Fett: **text**"]
+    await _seed_block(db, "betonung", subs)
+    raw = {"Betonung": list(subs)}
+    facts = {"Betonung": {
+        blocks._norm_title(subs[0]): {"key_points": ["kp-a"], "cited_facts": [{"text": "z1"}]},
+        blocks._norm_title(subs[1]): {"key_points": ["kp-b", "kp-c"], "cited_facts": [{"text": "z1"}, {"text": "z2"}]},
+    }}
+    fake = _fake_slot({"j1": {"gruppen": [[1, 2]], "luecken": ["Marker-Escaping fehlt"]},
+                       "j2": {"gruppen": [[2, 1]], "luecken": ["Escaping von Markern"]}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, facts)
+    assert raw["Betonung"] == [subs[1], "Fett: **text**"]  # Gewinner: 2 key_points > 1
+    wf = facts["Betonung"][blocks._norm_title(subs[1])]
+    assert wf["key_points"] == ["kp-b", "kp-c", "kp-a"]
+    assert wf["cited_facts"] == [{"text": "z1"}, {"text": "z2"}]  # Union ohne Doppel
+    assert blocks._norm_title(subs[0]) not in facts["Betonung"]
+    rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "betonung")}
+    assert rows[blocks._norm_title(subs[0])] == "variant"
+    assert rows[blocks._norm_title(subs[1])] == "consensus"
+    journale = list(tmp_path.glob("sub-konsolidierung-*.json"))
+    j = json.loads([p for p in journale if "-j" not in p.stem][0].read_text())
+    # Lücken-Schnitt: Token-Überlappung beider Judges, Formulierung von j1 gewinnt
+    assert j["gruppen"][0]["behalten"] == subs[1] and j["luecken"] == ["Marker-Escaping fehlt"]
+
+
+async def test_dissent_keeps_everything(testdb, tmp_path, monkeypatch):
+    """Nur ein Judge gruppiert → keine Einstimmigkeit → kein Merge."""
+    db = testdb
+    subs = ["Eintrag eins", "Eintrag zwei"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [[1, 2]], "luecken": []},
+                       "j2": {"gruppen": [], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Block"] == subs
+    assert all(r["status"] == "consensus" for r in await db.list_subblocks(TOPIC, "block"))
+
+
+async def test_judge_failure_fail_open(testdb, tmp_path, monkeypatch):
+    """Ein Judge UND der Ersatz ohne Ergebnis → fail-open, nichts ändert sich."""
+    db = testdb
+    subs = ["Eintrag eins", "Eintrag zwei"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [[1, 2]], "luecken": []}})  # j2 UND j3 → FAILED
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Block"] == subs
+    assert len(fake.calls) == 3  # j1, j2, Ersatz j3
+
+
+async def test_ersatzrichter_bei_ausfall(testdb, tmp_path, monkeypatch):
+    """j1 fällt aus → Ersatz j3 springt ein; Einstimmigkeit j2+j3 faltet.
+    Vorher entwertete EIN Timeout die gute Stimme (13 Links-Dubletten überlebten)."""
+    db = testdb
+    subs = ["Kurz", "Deutlich längerer Eintrag"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    fake = _fake_slot({"j2": {"gruppen": [[1, 2]], "luecken": []},
+                       "j3": {"gruppen": [[2, 1]], "luecken": []}})  # j1 → FAILED
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Block"] == ["Deutlich längerer Eintrag"]
+
+
+async def test_negation_guard_blocks_merge(testdb, tmp_path, monkeypatch):
+    """Gegensätzliche Aussagen werden selbst bei einstimmigen Judges nicht gefaltet."""
+    db = testdb
+    subs = ["Tabs werden expandiert", "Tabs werden nicht expandiert"]
+    await _seed_block(db, "tabs", subs)
+    raw = {"Tabs": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [[1, 2]], "luecken": []},
+                       "j2": {"gruppen": [[1, 2]], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Tabs"] == subs
+
+
+async def test_resume_skips_judges(testdb, tmp_path, monkeypatch):
+    """Vorhandene j-Dateien → kein neuer Agenten-Call, Ergebnis wird übernommen."""
+    db = testdb
+    subs = ["Eintrag eins", "Eintrag zwei lang"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    import hashlib
+    h = hashlib.md5("\n".join(subs).encode()).hexdigest()[:8]
+    for j in (1, 2):
+        (tmp_path / f"sub-konsolidierung-{h}-j{j}.json").write_text(
+            json.dumps({"gruppen": [[1, 2]], "luecken": []}), encoding="utf-8")
+
+    async def kein_agent(*a, **kw):
+        raise AssertionError("Resume darf keinen Agenten starten")
+
+    monkeypatch.setattr(blocks, "run_single_slot", kein_agent)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Block"] == ["Eintrag zwei lang"]
+
+
+def test_schema_accepts_both_group_forms():
+    """Alte Listenform [1,4] und neue {haupt, weitere}-Form parsen beide; kataloge/fremd optional."""
+    alt = blocks._konsolidierung_schema({"gruppen": [[1, 4]], "luecken": []}, 5)
+    assert alt["gruppen"] == [{"haupt": None, "ids": [1, 4]}] and alt["fremd"] == set()
+    neu = blocks._konsolidierung_schema(
+        {"gruppen": [{"haupt": 4, "weitere": [1]}],
+         "kataloge": [{"titel": "Katalog: Symbole", "mitglieder": [2, 3]}],
+         "fremd": [5], "luecken": ["x"]}, 5)
+    assert neu["gruppen"] == [{"haupt": 4, "ids": [1, 4]}]
+    assert neu["kataloge"] == [{"titel": "Katalog: Symbole", "ids": [2, 3]}]
+    assert neu["fremd"] == {5} and neu["luecken"] == ["x"]
+    assert blocks._konsolidierung_schema({"gruppen": [{"haupt": 9, "weitere": [1]}]}, 5) == \
+        {"gruppen": [], "kataloge": [], "fremd": set(), "luecken": []}  # id out of range
+
+
+async def test_haupt_beats_heuristic(testdb, tmp_path, monkeypatch):
+    """Judges nennen den kürzeren Eintrag als haupt → er gewinnt trotz weniger key_points."""
+    db = testdb
+    subs = ["Basis", "Detailregel mit sehr langem Titel und Facts"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    facts = {"Block": {blocks._norm_title(subs[1]): {"key_points": ["a", "b", "c"]}}}
+    fake = _fake_slot({"j1": {"gruppen": [{"haupt": 1, "weitere": [2]}], "luecken": []},
+                       "j2": {"gruppen": [{"haupt": 1, "weitere": [2]}], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, facts)
+    assert raw["Block"] == ["Basis"]
+    assert facts["Block"][blocks._norm_title("Basis")]["key_points"] == ["a", "b", "c"]  # Union geerbt
+
+
+async def test_katalog_bundles_to_new_row(testdb, tmp_path, monkeypatch):
+    """Einstimmige Katalog-Mitglieder → neue consensus-Zeile mit Facts-Union, Mitglieder variant."""
+    db = testdb
+    subs = ["Pfeilsymbole: a b c", "Mengensymbole: d e f", "Eigene Regel"]
+    await _seed_block(db, "mathe", subs)
+    raw = {"Mathe": list(subs)}
+    facts = {"Mathe": {blocks._norm_title(subs[0]): {"key_points": ["kp1"]},
+                       blocks._norm_title(subs[1]): {"key_points": ["kp2"]}}}
+    kat = {"titel": "Symbolkatalog: Pfeile und Mengen", "mitglieder": [1, 2]}
+    fake = _fake_slot({"j1": {"gruppen": [], "kataloge": [kat], "luecken": []},
+                       "j2": {"gruppen": [], "kataloge": [kat], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, facts)
+    assert raw["Mathe"] == ["Eigene Regel", "Symbolkatalog: Pfeile und Mengen"]
+    kn = blocks._norm_title("Symbolkatalog: Pfeile und Mengen")
+    assert sorted(facts["Mathe"][kn]["key_points"]) == ["kp1", "kp2"]
+    rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "mathe")}
+    assert rows[kn] == "consensus"
+    assert rows[blocks._norm_title(subs[0])] == "variant"
+
+
+async def test_katalog_dissent_keeps_members(testdb, tmp_path, monkeypatch):
+    db = testdb
+    subs = ["Pfeilsymbole: a b c", "Mengensymbole: d e f"]
+    await _seed_block(db, "mathe", subs)
+    raw = {"Mathe": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [], "kataloge": [{"titel": "K", "mitglieder": [1, 2]}], "luecken": []},
+                       "j2": {"gruppen": [], "kataloge": [], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Mathe"] == subs
+
+
+async def test_fremd_unanimous_discards(testdb, tmp_path, monkeypatch):
+    """Einstimmig fremd → discarded + raus; einseitig fremd → bleibt."""
+    db = testdb
+    subs = ["CSS display überschreibt Verhalten", "Echte Markdown-Regel", "Nur einer hält es für fremd"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [], "fremd": [1, 3], "luecken": []},
+                       "j2": {"gruppen": [], "fremd": [1], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    luecken = await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert raw["Block"] == [subs[1], subs[2]]
+    rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "block")}
+    assert rows[blocks._norm_title(subs[0])] == "discarded"
+    assert rows[blocks._norm_title(subs[2])] == "consensus"
+    assert luecken == {}
+
+
+async def test_luecken_nur_bei_einstimmigkeit(testdb, tmp_path, monkeypatch):
+    """Nur Lücken mit Token-Überlappung BEIDER Judges überleben; einseitige fallen weg."""
+    db = testdb
+    subs = ["Eintrag eins", "Eintrag zwei"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    fake = _fake_slot({"j1": {"gruppen": [], "luecken": ["Inline-HTML fehlt", "Front-Matter"]},
+                       "j2": {"gruppen": [], "luecken": ["nichts zu Inline-HTML"]}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    luecken = await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, {})
+    assert luecken == {"Block": ["Inline-HTML fehlt"]}
+
+
+async def test_kp_deckel_im_judge_prompt(testdb, tmp_path, monkeypatch):
+    """Prompt zeigt max. 3 key_points je Sub (Timeout-Schutz); die Union bleibt voll."""
+    db = testdb
+    subs = ["Eintrag eins", "Eintrag zwei"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    facts = {"Block": {blocks._norm_title(subs[0]): {"key_points": [f"kp{i}" for i in range(1, 6)]}}}
+    fake = _fake_slot({"j1": {"gruppen": [], "luecken": []}, "j2": {"gruppen": [], "luecken": []}})
+    monkeypatch.setattr(blocks, "run_single_slot", fake)
+    await blocks._konsolidiere_subblocks(_ctx(), {"arbeit": tmp_path}, raw, facts)
+    prompt = fake.calls[0]["prompt"]
+    assert "kp3" in prompt and "kp4" not in prompt
+
+
+def test_luecken_schnitt_cap():
+    l1 = [f"Aspekt-{k} fehlt" for k in ("eins", "zwei", "drei", "vier", "fünf")]
+    assert blocks._luecken_schnitt(l1, list(l1)) == l1[:3]  # Cap 3
+    assert blocks._luecken_schnitt(["Inline-HTML"], ["Tabellen-Syntax"]) == []
+
+
+def test_neg_set_lemmatisiert():
+    """kein/keine/keinen falten auf einen Stamm; nicht vs. ohne bleiben verschieden."""
+    a = blocks._neg_set("Fehlerverhalten (kein Syntaxfehler)")
+    b = blocks._neg_set("Fehlerverhalten (keine Syntax-Fehlermeldung)")
+    assert a == b == frozenset({"kein"})
+    assert blocks._neg_set("nicht expandiert") != blocks._neg_set("ohne Expansion")
+    assert blocks._neg_set("niemals gerendert") == blocks._neg_set("nie gerendert")
+
+
+# ── Lücken-Nachfass ─────────────────────────────────────────────────────────────────
+
+async def _nachfass_env(db, monkeypatch, facts_result):
+    subs = ["Eintrag eins"]
+    await _seed_block(db, "block", subs)
+    raw = {"Block": list(subs)}
+    facts_map = {"Block": {}}
+
+    async def fake_race(topic, label, slots, quorum, timeout, provider, cancelled=None, grace=0):
+        return [{"Block": ["Eintrag eins", "Neuer Aspekt"]}]
+
+    async def fake_facts(ctx, set_p, files, fraw, q, folder, instructions, ns="", lbl="", sources=None, slim=False):
+        assert slim is True  # Nachfass nutzt die schlanke Facts-Variante
+        assert list(fraw["Block"]) == ["Neuer Aspekt"]  # nur der frische Fund geht ins Gate
+        return facts_result
+
+    monkeypatch.setattr(blocks, "_race", fake_race)
+    monkeypatch.setattr(blocks, "_facts_block", fake_facts)
+    monkeypatch.setattr(blocks, "EMBEDDING_AKTIV", False)
+    return raw, facts_map
+
+
+async def test_nachfass_adopts_backed_find(testdb, tmp_path, monkeypatch):
+    db = testdb
+    nn = blocks._norm_title("Neuer Aspekt")
+    raw, facts_map = await _nachfass_env(db, monkeypatch,
+                                         ({"Block": {nn: {"key_points": ["kp"]}}}, {}))
+    n = await blocks._luecken_runde(_ctx(), {"arbeit": tmp_path}, "Block", ["Aspekt"],
+                                    raw, facts_map, {"type": "thema"}, None)
+    assert n == 1 and raw["Block"] == ["Eintrag eins", "Neuer Aspekt"]
+    assert facts_map["Block"][nn]["key_points"] == ["kp"]
+    rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "block")}
+    assert rows[nn] == "consensus"
+
+
+async def test_nachfass_drops_unbacked_find(testdb, tmp_path, monkeypatch):
+    db = testdb
+    nn = blocks._norm_title("Neuer Aspekt")
+    raw, facts_map = await _nachfass_env(db, monkeypatch, ({}, {"Block": {nn}}))
+    n = await blocks._luecken_runde(_ctx(), {"arbeit": tmp_path}, "Block", ["Aspekt"],
+                                    raw, facts_map, {"type": "thema"}, None)
+    assert n == 0 and raw["Block"] == ["Eintrag eins"]
+    assert not any(r["sub_norm"] == nn for r in await db.list_subblocks(TOPIC, "block"))
+
+
+async def test_nachfass_drops_find_without_facts(testdb, tmp_path, monkeypatch):
+    """HARTES Gate: kein Facts-Eintrag = kein Beleg = keine Übernahme — nicht nur
+    aktiv Verworfenes fliegt (Bilder-Lauf: 13 von 18 kamen ohne Beleg durch)."""
+    db = testdb
+    raw, facts_map = await _nachfass_env(db, monkeypatch, ({}, {}))  # Facts fand NICHTS
+    n = await blocks._luecken_runde(_ctx(), {"arbeit": tmp_path}, "Block", ["Aspekt"],
+                                    raw, facts_map, {"type": "thema"}, None)
+    assert n == 0 and raw["Block"] == ["Eintrag eins"]
+
+
+async def test_facts_stage_konsolidiert_nachfass_funde_erneut(testdb, tmp_path, monkeypatch):
+    """Kreis geschlossen: nach Übernahmen läuft die Konsolidierung ein zweites Mal;
+    deren Lücken lösen KEINEN weiteren Nachfass aus."""
+    db = testdb
+    payload = {"title": "Alpha", "raw": {"Alpha": ["s1"]}}
+    await db.kanban_upsert_card(TOPIC, "artefacts", "alpha", "ablock", "facts", payload)
+    calls = {"kons": 0, "nf": 0}
+
+    async def fake_facts(ctx, set_p, files, raw, q, folder, instructions, ns="", lbl="", sources=None, slim=False):
+        return {"Alpha": {}}, {}
+
+    async def fake_kons(ctx, files, raw, facts_map, instructions="", ns="", lbl=""):
+        calls["kons"] += 1
+        return {"Alpha": ["Lücke X"]}  # meldet auch in Runde 2 — darf nicht erneut nachfassen
+
+    async def fake_nf(ctx, files, title, luecken, raw, facts_map, q, folder,
+                      instructions="", ns="", lbl="", sources=None):
+        calls["nf"] += 1
+        return 2
+
+    monkeypatch.setattr(ba, "_facts_block", fake_facts)
+    monkeypatch.setattr(ba, "_konsolidiere_subblocks", fake_kons)
+    monkeypatch.setattr(ba, "_luecken_runde", fake_nf)
+    flow = Flow(TOPIC, work_dir=tmp_path)
+    await ba._proc_facts(_ctx(), flow, {"arbeit": tmp_path}, {"type": "thema"}, None, "",
+                         [{"card_id": "alpha", "payload": payload}])
+    assert calls == {"kons": 2, "nf": 1}
+    assert (await db.kanban_get_card(TOPIC, "artefacts", "alpha"))["stage"] == "levels"
+
+
+async def test_finalize_purges_stale_rows(testdb, tmp_path):
+    """Re-Run-Waisen: Finalize löscht Alt-Fragen/-Artefakte des Blocks vor dem Upsert."""
+    db = testdb
+    await db.upsert_question_pattern(TOPIC, "alpha", "alt-sub", "Alpha", "Alt", "Alte Frage?")
+    await db.put_sub_artifact(TOPIC, "alpha", "alt-sub", "flashcard", "{}", "Alpha", "Alt")
+    await db.kanban_upsert_card(TOPIC, "artefacts", "alpha", "ablock", "finalize", {})
+    files = {k: tmp_path / f"{k}.json" for k in
+             ("sub_roh", "facts", "sidecar", "question_pattern", "artefakte")}
+    card = {"card_id": "alpha", "payload": {
+        "title": "Alpha", "raw": {"Alpha": ["Neu"]}, "facts": {},
+        "sidecar": {"Alpha": [{"title": "Neu", "level": "beginner"}]},
+        "pattern": {"Alpha": [{"subblock": "Neu", "question": "F?"}]},
+        "artefacts": {"flashcard": [{"block": "Alpha", "subblock": "Neu", "front": "F", "back": "B"}]}}}
+    flow = Flow(TOPIC, work_dir=tmp_path)
+    await ba._proc_finalize(_ctx(), flow, files, [card])
+    assert {r["sub_norm"] for r in await db.list_question_pattern(TOPIC)} == {"neu"}
+    assert {(r["sub_norm"], r["type"]) for r in await db.get_sub_artefakte(TOPIC)} == {("neu", "flashcard")}
+
+
+# ── Cross-Block ─────────────────────────────────────────────────────────────────────
+
+class _FakeEmb:
+    """Gleicher Text → gleicher Einheitsvektor, sonst orthogonal (cos 1.0 / 0.0)."""
+
+    @staticmethod
+    def available():
+        return True
+
+    @staticmethod
+    def embed_sims(texts):
+        uniq = {t: k for k, t in enumerate(dict.fromkeys(texts))}
+        arr = np.zeros((len(texts), max(len(uniq), 1)))
+        for r, t in enumerate(texts):
+            arr[r, uniq[t]] = 1.0
+        return arr @ arr.T
+
+
+async def _cross_env(db, tmp_path):
+    flow = Flow(TOPIC, work_dir=tmp_path)
+    cards = []
+    for bnorm, subs in (("alpha", ["Gleiche Aussage", "Nur in Alpha"]),
+                        ("beta", ["Gleiche Aussage", "Nur in Beta"])):
+        payload = {"title": bnorm.title(),
+                   "raw": {bnorm.title(): list(subs)},
+                   "sidecar": {bnorm.title(): [{"title": s, "level": "beginner"} for s in subs]},
+                   "facts": {bnorm.title(): {blocks._norm_title(s): {"key_points": [f"kp {s}"]} for s in subs}}}
+        await db.kanban_upsert_card(TOPIC, "artefacts", bnorm, "ablock", "konsolidierung", payload)
+        await _seed_block(db, bnorm, subs)
+        cards.append({"card_id": bnorm, "payload": payload})
+    return flow, cards
+
+
+async def test_crossblock_folds_loser(testdb, tmp_path, monkeypatch):
+    """Einstimmig „a" → Beta verliert die geteilte Aussage, Karten wandern zu levels."""
+    db = testdb
+    flow, cards = await _cross_env(db, tmp_path)
+    monkeypatch.setattr(ba, "embedding", _FakeEmb)
+    fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "j2": {"pairs": {"1": "a"}}})
+    monkeypatch.setattr(ba, "run_single_slot", fake)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    assert "Gleiche Aussage" in fake.calls[0]["prompt"]
+    beta = await db.kanban_get_card(TOPIC, "artefacts", "beta")
+    assert beta["stage"] == "question_pattern"
+    assert beta["payload"]["raw"]["Beta"] == ["Nur in Beta"]
+    assert blocks._norm_title("Gleiche Aussage") not in beta["payload"]["facts"]["Beta"]
+    # Barriere liegt jetzt hinter levels/relevance → auch die sidecar muss den Fold tragen
+    assert [e["title"] for e in beta["payload"]["sidecar"]["Beta"]] == ["Nur in Beta"]
+    alpha = await db.kanban_get_card(TOPIC, "artefacts", "alpha")
+    assert alpha["stage"] == "question_pattern"
+    assert alpha["payload"]["raw"]["Alpha"] == ["Gleiche Aussage", "Nur in Alpha"]
+    rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "beta")}
+    assert rows[blocks._norm_title("Gleiche Aussage")] == "variant"
+
+
+async def test_crossblock_tiebreaker_folds(testdb, tmp_path, monkeypatch):
+    """j1/j2 uneinig → j3 entscheidet mit Mehrheit; hier „a" → Beta verliert."""
+    db = testdb
+    flow, cards = await _cross_env(db, tmp_path)
+    monkeypatch.setattr(ba, "embedding", _FakeEmb)
+    fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "j2": {"pairs": {"1": "nein"}},
+                       "j3": {"pairs": {"1": "a"}}})
+    monkeypatch.setattr(ba, "run_single_slot", fake)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    assert len(fake.calls) == 3
+    beta = await db.kanban_get_card(TOPIC, "artefacts", "beta")
+    assert beta["payload"]["raw"]["Beta"] == ["Nur in Beta"]
+
+
+async def test_crossblock_dissent_without_tiebreaker_keeps_both(testdb, tmp_path, monkeypatch):
+    """j3 liefert nichts (FAILED) → fail-open, Paar bleibt."""
+    db = testdb
+    flow, cards = await _cross_env(db, tmp_path)
+    monkeypatch.setattr(ba, "embedding", _FakeEmb)
+    fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "j2": {"pairs": {"1": "b"}}})  # j3 fehlt → FAILED
+    monkeypatch.setattr(ba, "run_single_slot", fake)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    beta = await db.kanban_get_card(TOPIC, "artefacts", "beta")
+    assert beta["stage"] == "question_pattern"
+    assert beta["payload"]["raw"]["Beta"] == ["Gleiche Aussage", "Nur in Beta"]
+
+
+async def test_crossblock_ersatzrichter(testdb, tmp_path, monkeypatch):
+    """Nur ein Richter liefert → Ersatz jE als zweite Stimme; Einstimmigkeit faltet."""
+    db = testdb
+    flow, cards = await _cross_env(db, tmp_path)
+    monkeypatch.setattr(ba, "embedding", _FakeEmb)
+    fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "jE": {"pairs": {"1": "a"}}})  # j2 → FAILED
+    monkeypatch.setattr(ba, "run_single_slot", fake)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    beta = await db.kanban_get_card(TOPIC, "artefacts", "beta")
+    assert beta["payload"]["raw"]["Beta"] == ["Nur in Beta"]
+
+
+async def test_crossblock_without_embedding_advances(testdb, tmp_path, monkeypatch):
+    db = testdb
+    flow, cards = await _cross_env(db, tmp_path)
+
+    class _Aus:
+        @staticmethod
+        def available():
+            return False
+
+    async def kein_agent(*a, **kw):
+        raise AssertionError("ohne Embedding kein Judge")
+
+    monkeypatch.setattr(ba, "embedding", _Aus)
+    monkeypatch.setattr(ba, "run_single_slot", kein_agent)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    for cid in ("alpha", "beta"):
+        assert (await db.kanban_get_card(TOPIC, "artefacts", cid))["stage"] == "question_pattern"
+
+
+async def test_crossblock_context_wins(testdb, tmp_path, monkeypatch):
+    """Kontext-Sub (Block schon hinter der Barrier) gewinnt auch bei Verdict „b" —
+    die Paket-Seite fällt, der Kontext bleibt unangetastet."""
+    db = testdb
+    flow = Flow(TOPIC, work_dir=tmp_path)
+    payload = {"title": "Alpha", "raw": {"Alpha": ["Gleiche Aussage"]}, "facts": {"Alpha": {}}}
+    await db.kanban_upsert_card(TOPIC, "artefacts", "alpha", "ablock", "konsolidierung", payload)
+    await _seed_block(db, "alpha", ["Gleiche Aussage"])
+    cards = [{"card_id": "alpha", "payload": payload}]
+    # Kontext-Block "gamma" ist bereits weiter (Stage levels) und hält dieselbe Aussage
+    await db.kanban_upsert_card(TOPIC, "artefacts", "gamma", "ablock", "levels",
+                                {"title": "Gamma", "raw": {"Gamma": ["Gleiche Aussage"]}, "facts": {}})
+    await _seed_block(db, "gamma", ["Gleiche Aussage"])
+    monkeypatch.setattr(ba, "embedding", _FakeEmb)
+    # Verdict „a": das Paket (A) soll behalten — Kontext faltet trotzdem nie
+    fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "j2": {"pairs": {"1": "a"}}})
+    monkeypatch.setattr(ba, "run_single_slot", fake)
+    await ba._proc_konsolidierung(_ctx(), flow, {}, "", cards)
+    alpha = await db.kanban_get_card(TOPIC, "artefacts", "alpha")
+    assert alpha["payload"]["raw"].get("Alpha", []) == []  # Paket-Seite gefaltet
+    gamma_rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "gamma")}
+    assert gamma_rows[blocks._norm_title("Gleiche Aussage")] == "consensus"  # Kontext unberührt