Files
creator/backend/tests/test_konsolidierung.py
2026-07-04 23:47:04 +02:00

266 lines
13 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""Cross-Block-Konsolidierung (board_artefacts._proc_konsolidierung) und Finalize —
Judges gefaked, gegen Test-DB. Die In-Block-Konsolidierung lebt seit dem Verschmelzungs-
Umbau in block_calls._verify_block und wird in tests/test_block_calls.py getestet."""
import json
import numpy as np
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")
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")
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, finalisiert=True):
"""Zwei finalisierte Karten in der End-Barriere; die Sub-Rows liegen in der DB
(post-finalize ist die DB die Wahrheit, nicht mehr das Karten-Payload)."""
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()}
if finalisiert:
payload.update(pattern={}, artefacts={})
await db.kanban_upsert_card(TOPIC, "artefacts", bnorm, "ablock", "konsolidierung", payload)
await _seed_block(db, bnorm, subs)
cards.append({"card_id": bnorm, "payload": payload})
files = {k: tmp_path / f"{k}.json" for k in
("sub_roh", "facts", "sidecar", "question_pattern", "artefakte")}
return flow, cards, files
async def test_crossblock_folds_loser(testdb, tmp_path, monkeypatch):
"""Einstimmig „a" → Betas geteilte Aussage wird variant, ihre Frage wandert zum
Gewinner (falte_sub), Karten gehen auf DONE."""
db = testdb
flow, cards, files = await _cross_env(db, tmp_path)
sn = blocks._norm_title("Gleiche Aussage")
await db.upsert_question_pattern(TOPIC, "beta", sn, "Beta", "Gleiche Aussage", "F?")
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, files, "", cards)
assert "Gleiche Aussage" in fake.calls[0]["prompt"]
for cid in ("alpha", "beta"):
assert (await db.kanban_get_card(TOPIC, "artefacts", cid))["stage"] == ba.DONE
beta_rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "beta")}
assert beta_rows[sn] == "variant"
alpha_rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "alpha")}
assert alpha_rows[sn] == "consensus"
fragen = await db.list_question_pattern(TOPIC)
assert {(r["block_norm"], r["sub_norm"]) for r in fragen} == {("alpha", sn)} # umgehängt
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, files = 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, files, "", cards)
assert len(fake.calls) == 3
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_dissent_without_tiebreaker_keeps_both(testdb, tmp_path, monkeypatch):
"""j3 liefert nichts (FAILED) → fail-open, Paar bleibt."""
db = testdb
flow, cards, files = 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, files, "", cards)
assert (await db.kanban_get_card(TOPIC, "artefacts", "beta"))["stage"] == ba.DONE
rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "beta")}
assert rows[blocks._norm_title("Gleiche Aussage")] == "consensus"
async def test_crossblock_ersatzrichter(testdb, tmp_path, monkeypatch):
"""Nur ein Richter liefert → Ersatz jE als zweite Stimme; Einstimmigkeit faltet."""
db = testdb
flow, cards, files = 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, files, "", cards)
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_without_embedding_advances(testdb, tmp_path, monkeypatch):
db = testdb
flow, cards, files = 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, files, "", cards)
for cid in ("alpha", "beta"):
assert (await db.kanban_get_card(TOPIC, "artefacts", cid))["stage"] == ba.DONE
async def test_crossblock_nachzuegler_zurueck_zum_erzeugen(testdb, tmp_path, monkeypatch):
"""Resume-Karte ohne pattern im Payload → zurück nach generate (bzw. artefakte bei
vorhandenem sidecar), KEIN Dedup — finalize würde den Fold sonst re-spiegeln."""
db = testdb
flow, cards, files = await _cross_env(db, tmp_path, finalisiert=False)
cards[1]["payload"]["sidecar"] = {"Beta": []} # hat Verify schon hinter sich
await db.kanban_set_payload(TOPIC, "artefacts", "beta", cards[1]["payload"])
async def kein_agent(*a, **kw):
raise AssertionError("Nachzügler dürfen keinen Dedup auslösen")
monkeypatch.setattr(ba, "embedding", _FakeEmb)
monkeypatch.setattr(ba, "run_single_slot", kein_agent)
await ba._proc_konsolidierung(_ctx(), flow, files, "", cards)
assert (await db.kanban_get_card(TOPIC, "artefacts", "alpha"))["stage"] == "generate"
assert (await db.kanban_get_card(TOPIC, "artefacts", "beta"))["stage"] == "artefakte"
rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "beta")}
assert rows[blocks._norm_title("Gleiche Aussage")] == "consensus"
async def test_finalize_defaultet_level_nachzuegler(testdb, tmp_path):
"""Finalize klassifiziert level-/relevance-lose consensus-Rows (Default advanced/relevant)."""
db = testdb
await db.put_subblock(TOPIC, "alpha", "nachzuegler", "Alpha", "Nachzügler", status="consensus")
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": {}, "facts": {},
"sidecar": {}, "pattern": {}, "artefacts": {}}}
await ba._proc_finalize(_ctx(), Flow(TOPIC, work_dir=tmp_path), files, [card])
row = next(r for r in await db.list_subblocks(TOPIC, "alpha"))
assert row["level"] == "advanced" and row["relevance"] == "relevant"
async def test_finalize_loescht_stale_consensus(testdb, tmp_path):
"""Alt-consensus-Rows, die der Lauf-Sidecar nicht mehr trägt, fliegen raus —
variant-Rows bleiben (QA liest die Status). Wurzel der 25 Board-2-losen Waisen."""
db = testdb
await db.put_subblock(TOPIC, "alpha", "alt-rest", "Alpha", "Alt-Rest", status="consensus")
await db.put_subblock(TOPIC, "alpha", "alte-variante", "Alpha", "Alte Variante", status="variant")
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": {}, "artefacts": {}}}
await ba._proc_finalize(_ctx(), Flow(TOPIC, work_dir=tmp_path), files, [card])
rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "alpha")}
assert rows == {"neu": "consensus", "alte-variante": "variant"}
async def test_crossblock_chunking_faltet_global(testdb, tmp_path, monkeypatch):
"""Paare werden gechunkt beurteilt (ein Hänger blockiert nur noch seinen Chunk);
die Verdicts falten global über alle Chunks."""
db = testdb
flow = Flow(TOPIC, work_dir=tmp_path)
cards = []
for bnorm, subs in (("alpha", ["Gleiche Aussage", "Zweite gleiche Aussage", "Nur in Alpha"]),
("beta", ["Gleiche Aussage", "Zweite gleiche Aussage"])):
payload = {"title": bnorm.title(), "pattern": {}, "artefacts": {}}
await db.kanban_upsert_card(TOPIC, "artefacts", bnorm, "ablock", "konsolidierung", payload)
await _seed_block(db, bnorm, subs)
cards.append({"card_id": bnorm, "payload": payload})
files = {k: tmp_path / f"{k}.json" for k in
("sub_roh", "facts", "sidecar", "question_pattern", "artefakte")}
monkeypatch.setattr(ba, "embedding", _FakeEmb)
monkeypatch.setattr(ba, "CROSS_CHUNK_PAARE", 1) # 2 Paare → 2 Chunks
fake = _fake_slot({"j1": {"pairs": {"1": "a"}}, "j2": {"pairs": {"1": "a"}}})
monkeypatch.setattr(ba, "run_single_slot", fake)
await ba._proc_konsolidierung(_ctx(), flow, files, "", cards)
assert len(fake.calls) == 4 # 2 Chunks × j1/j2
rows = {r["sub_norm"]: r["status"] for r in await db.list_subblocks(TOPIC, "beta")}
assert set(rows.values()) == {"variant"} # beide Dubletten global gefaltet