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team3
210
backend/tests/test_board_inventory.py
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210
backend/tests/test_board_inventory.py
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"""Board 1 end-to-end through the real engine — agents faked, no LLM, no embedding model."""
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import json
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import re
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import pytest
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import board_inventory as bi
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import kanban
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from pipeline import GenContext
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TOPIC = "t"
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B = bi.BOARD
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_PATH_RE = re.compile(r"(/\S+\.json)")
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def _fake_single_slot(tmp_path):
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"""Deterministic judge stand-in: writes the expected JSON to the out_path found in the
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prompt and returns it — keyed off the agent-key naming convention."""
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async def fake(ctx, label, *, key, prompt, role, capabilities, payload, timeout, on_line=None):
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m = _PATH_RE.search(prompt)
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out = None
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if "-pair-" in key:
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pairs = prompt.count("\nA: ")
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out = {"pairs": {str(i + 1): "ja" for i in range(pairs)}}
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elif "-clarify-" in key:
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keep = [line[2:].split(" — ")[0] for line in prompt.splitlines()
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if line.startswith("- ")]
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out = {"keep": keep, "rest": []}
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elif "-naming-" in key:
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out = {"best": 1}
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elif "-filter-recheck-" in key or "-filter-" in key:
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out = {"fragments": {}, "drop": []}
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elif "-gruppierung-completion-" in key:
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out = {"additions": []}
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elif "-gruppierung-" in key:
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out = {"umbrellas": []}
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elif "-supplement" in key:
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out = {"blocks": [{"title": "Zeta-Konzept", "description": "kanonisch fehlend"}]}
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if m and out is not None:
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with open(m.group(1), "w", encoding="utf-8") as f:
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json.dump(out, f)
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return "ok", payload(None)
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return fake
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@pytest.fixture
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async def board_env(testdb, tmp_path, monkeypatch):
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import board_artefacts as ba
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from textkit import _norm_title
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monkeypatch.setattr(bi, "run_single_slot", _fake_single_slot(tmp_path))
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async def no_emb(flow):
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return False
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monkeypatch.setattr(bi, "_emb_ok", no_emb)
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async def fake_subblocks(ctx, set_p, files, entries, instructions, wipe=True, ns=""):
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title = list(entries.values())[0].split(" — ")[0]
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return {title: ["Sub Eins", "Sub Zwei"]}
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async def fake_facts(ctx, set_p, files, raw, q, folder, instructions, ns=""):
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facts = {t: {_norm_title(s): {"key_points": [f"Fakt zu {s}"], "cited_facts": []}
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for s in subs} for t, subs in raw.items()}
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return facts, {}
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async def fake_levels(ctx, set_p, files, raw, instructions, ns=""):
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return {t: [{"title": s, "level": "beginner"} for s in subs] for t, subs in raw.items()}
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async def fake_relevance(ctx, set_p, files, sidecar, instructions, ns=""):
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return {1: "relevant", 2: "peripheral"}
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async def fake_pattern(ctx, set_p, files, sidecar, instructions, ns=""):
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return {t: [{"subblock": subs[0]["title"], "question": f"Was ist {t}?"}]
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for t, subs in sidecar.items()}
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async def fake_artefacts(ctx, set_p, files, sidecar, instructions, ns=""):
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return {"flashcard": [{"block": t, "subblock": subs[0]["title"], "front": "F", "back": "B"}
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for t, subs in sidecar.items()], "example": []}
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async def fake_outline(ctx, set_p, files, entries, instructions):
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return {"chapters": [{"title": "Kapitel 1", "numbers": sorted(entries)}]}
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for name, fn in [("_subblocks_block", fake_subblocks), ("_facts_block", fake_facts),
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("_levels_block", fake_levels), ("_relevance_block", fake_relevance),
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("_question_pattern_block", fake_pattern), ("_artefacts_block", fake_artefacts),
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("_outline_block", fake_outline)]:
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monkeypatch.setattr(ba, name, fn)
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work = tmp_path / "arbeit"
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work.mkdir()
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files = {"arbeit": work, "final": tmp_path / "blocks.md",
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"sub_roh": tmp_path / "sub_roh.json", "sidecar": tmp_path / "subblocks.json",
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"facts": tmp_path / "facts.json", "question_pattern": tmp_path / "question_pattern.json",
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"artefakte": tmp_path / "artefakte.json", "outline": tmp_path / "outline.json",
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"outline_slots": tmp_path / "outline_slots"}
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ctx = GenContext(topic=TOPIC, provider="claude", is_cancelled=lambda: False)
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return testdb, ctx, files
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async def _seed(db):
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# 2 consensus titles (2 readers), 1 single find (kept by panel), 1 artifact (pre-reject)
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await db.kanban_add_title(TOPIC, B, "alpha", "Alpha", "Grundkonzept", "s1", "r1")
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await db.kanban_add_title(TOPIC, B, "alpha", "Alpha", "Grundkonzept", "s2", "r2")
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await db.kanban_add_title(TOPIC, B, "beta", "Beta", "Zweites Konzept", "s1", "r1")
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await db.kanban_add_title(TOPIC, B, "beta", "Beta", "Zweites Konzept", "s2", "r2")
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await db.kanban_add_title(TOPIC, B, "gamma", "Gamma", "Einzelfund", "s1", "r1")
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await db.kanban_add_title(TOPIC, B, "aufgabe 3", "Aufgabe 3", "Übungszettel", "s1", "r1")
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async def test_board1_full_flow(board_env):
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db, ctx, files = board_env
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await _seed(db)
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import asyncio
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ok = await asyncio.wait_for(
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bi.run_boards(ctx, lambda *a, **k: None, files, {"type": "thema"}, None, "", research=False),
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timeout=30)
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assert ok
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done = await db.kanban_cards(TOPIC, board=B, stage="done_block")
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titles = sorted(c["payload"]["title"] for c in done)
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# Alpha/Beta/Gamma survive; the supplement's Zeta flows through the whole board too
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assert titles == ["Alpha", "Beta", "Gamma", "Zeta-Konzept"]
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rejected = await db.kanban_cards(TOPIC, board=B, stage="rejected")
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assert [c["payload"]["title"] for c in rejected] == ["Aufgabe 3"]
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assert rejected[0]["payload"]["reason"] == "pre-reject"
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# legacy mirror carries the survivors as consensus
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legacy = {b["title"] for b in await db.list_blocks(TOPIC, status="consensus")}
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assert legacy == set(titles)
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# blocks.md written in flow order
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lines = files["final"].read_text(encoding="utf-8").strip().splitlines()
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assert len(lines) == 4
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# reader union survived the pipeline (consensus evidence on the block card)
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alpha = next(c for c in done if c["payload"]["title"] == "Alpha")
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assert set(alpha["payload"]["readers"]) == {"r1", "r2"}
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# board 2: one artefact card per block ran through to done_artefact (+ outline singleton)
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art_done = await db.kanban_cards(TOPIC, board="artefacts", stage="done_artefact")
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assert len(art_done) == 5 # 4 blocks + outline card
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sidecar = json.loads(files["sidecar"].read_text(encoding="utf-8"))
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assert set(sidecar) == set(titles)
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assert sidecar["Alpha"][0]["facts"]["key_points"] == ["Fakt zu Sub Eins"]
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assert sidecar["Alpha"][0]["relevance"] == "relevant"
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assert sidecar["Alpha"][1]["relevance"] == "peripheral"
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# DB mirrors: subblocks, question pattern, artefacts, outline
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subs = await db.list_subblocks(TOPIC, "alpha")
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assert {s["sub_title"] for s in subs} == {"Sub Eins", "Sub Zwei"}
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outline = await db.get_outline(TOPIC)
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assert outline and "Kapitel 1" in outline
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async def test_filter_judges_run_parallel(board_env, monkeypatch):
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"""40 Blöcke → 2 Filter-Chunks: die Judge-Welle muss parallel laufen (Perf-Fix)."""
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import asyncio
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db, ctx, files = board_env
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state = {"cur": 0, "max": 0}
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base = bi.run_single_slot # instant fake from the fixture
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async def slow(*a, **k):
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state["cur"] += 1
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state["max"] = max(state["max"], state["cur"])
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try:
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await asyncio.sleep(0.05)
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return await base(*a, **k)
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finally:
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state["cur"] -= 1
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monkeypatch.setattr(bi, "run_single_slot", slow)
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for i in range(40):
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await db.kanban_upsert_card(TOPIC, B, f"b-x{i}", "block", "fragment_filter",
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{"title": f"Block {i}", "description": "d"})
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ok = await asyncio.wait_for(
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bi.run_boards(ctx, lambda *a, **k: None, files, {"type": "thema"}, None, "", research=False),
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timeout=30)
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assert ok
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# 40 seeded + 1 supplement candidate (Zeta) flow through to done_block
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assert await db.kanban_count(TOPIC, "done_block", board=B) == 41
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assert state["max"] >= 2 # chunk judges ran as one wave, not sequentially
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async def test_empty_subblocks_completes_without_deadletter(board_env, monkeypatch):
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"""Legitim leere Subbausteine ({} statt None) → Karte läuft bis done_artefact durch."""
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import asyncio
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import board_artefacts as ba
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import blocks as blx
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db, ctx, files = board_env
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async def empty_subs(ctx, set_p, files, entries, instructions, wipe=True, ns=""):
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return {}
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monkeypatch.setattr(ba, "_subblocks_block", empty_subs)
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await db.kanban_upsert_card(TOPIC, "artefacts", "leer", "ablock", "subblocks",
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{"title": "Leerer Block", "description": "d"})
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ok = await asyncio.wait_for(
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bi.run_boards(ctx, lambda *a, **k: None, files, {"type": "thema"}, None, "", research=False),
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timeout=30)
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assert ok
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card = await db.kanban_get_card(TOPIC, "artefacts", "leer")
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assert card["stage"] == "done_artefact"
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assert card["retries"] == 0 and not card.get("last_error")
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assert TOPIC not in blx._blocks_errors # kein globales Banner
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async def test_reader_union_folds_exact_dupes(testdb):
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db = testdb
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assert await db.kanban_add_title(TOPIC, B, "x", "X", "d", "s1", "r1") is True
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assert await db.kanban_add_title(TOPIC, B, "x", "X", "d länger", "s2", "r2") is False
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card = await db.kanban_get_card(TOPIC, B, "x")
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assert set(card["payload"]["readers"]) == {"r1", "r2"}
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assert set(card["payload"]["sources"]) == {"s1", "s2"}
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assert card["payload"]["description"] == "d länger"
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