refactor

backend/guide_qa.py

@@ -10,7 +10,7 @@ Report: storage/qa/<topic>/guide-<ts>.json + Konsolen-Digest.
 """
 
 import asyncio
-import json
+import logging
 import re
 import sys
 from datetime import datetime, timezone
@@ -19,7 +19,9 @@ import database as db
 import qa
 import readability
 from fsutil import atomic_write_json
-from textkit import _norm_title
+from textkit import _norm_title, parse_facts
+
+log = logging.getLogger("creator.guide_qa")
 
 JACCARD_ABSATZ = 0.6      # Wort-Jaccard, ab dem zwei Absätze als Doppel gelten
 ABSATZ_MIN_CHARS = 200    # kürzere Absätze sind Übergänge — kein Dubletten-Signal
@@ -137,22 +139,11 @@ async def _fachlich_falsch(topic: str, cards: list[dict]) -> list[str]:
     """LLM-Stichprobe: Section enthält eine fachlich falsche Aussage? Zwei unabhängige
     Durchgänge, nur DOPPELT bestätigte zählen — ein Einzel-Judge schwankte zwischen
     0 und 5 Befunden am selben Guide und kippte die Note (Gewicht 3.0) auf 0."""
-    from agents import run_agent
-    from jsonio import parse_json_text
-    from pipeline import _yesno_schema
-
     async def _pass(kandidaten: list[dict], tag: str) -> list[str]:
-        out = []
-        for lo in range(0, len(kandidaten), 5):
-            chunk = kandidaten[lo:lo + 5]
-            listing = "\n\n".join(f"{k}. SECTION {c['block']}:\n{_ausfuehrlich(c['md'])[:LLM_SECTION_CHARS]}"
-                                  for k, c in enumerate(chunk, 1))
-            rc, txt, _err = await run_agent(
-                f"qa-guide-{topic}-fakten{tag}-{lo}", qa._qa_prompt("QA-Guide-Fakten", topic=topic, extra="", sections=listing),
-                600, role="judge", capabilities="none", scope=topic, label=f"Guide-QA Fakten{tag} {lo}")
-            v = (_yesno_schema(parse_json_text(txt)) or {}) if rc == 0 else {}
-            out += [c["block"] for k, c in enumerate(chunk, 1) if v.get(k) == "ja"]
-        return out
+        items = [f"SECTION {c['block']}:\n{_ausfuehrlich(c['md'])[:LLM_SECTION_CHARS]}" for c in kandidaten]
+        v = await qa.judge_wave("QA-Guide-Fakten", topic, f"fakten{tag}", "sections", items,
+                                chunk=5, prefix="qa-guide", label="Guide-QA")
+        return [c["block"] for k, c in enumerate(kandidaten, 1) if v.get(k) == "ja"]
 
     verdacht = await _pass(cards, "")
     if not verdacht:
@@ -178,12 +169,8 @@ async def guide_qa_report(topic: str, llm: bool = False) -> dict | None:
     for r in await db.list_subblocks(topic):
         if r["status"] != "consensus":
             continue
-        try:
-            facts = json.loads(r["facts"]) if r["facts"] else {}
-        except (ValueError, TypeError):
-            facts = {}
         subs_by_norm.setdefault(r["block_norm"], []).append(
-            {"relevance": r["relevance"], "facts": facts if isinstance(facts, dict) else {}})
+            {"relevance": r["relevance"], "facts": parse_facts(r["facts"])})
         if r["relevance"] != "peripheral":
             subs_rel.setdefault(r["block_norm"], set()).add(r["sub_norm"])
     ziele = [dict(r) for r in await db.list_lernziele(topic)]