fix: Robust JSON parsing for LLM responses — handles unquoted keys, fallback extraction
LLM returns {fulfilled: true} instead of {"fulfilled": true}.
Now fixes unquoted keys, True→true, and falls back to text-based
boolean extraction when JSON parsing fails entirely.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -213,14 +213,43 @@ async def _verify_control_with_llm(
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# Strip think tags if present
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raw = re.sub(r"<think>.*?</think>", "", raw, flags=re.DOTALL).strip()
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# Parse JSON response
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# Parse JSON response — handle LLM quirks
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import json
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# Find JSON in response
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json_match = re.search(r"\{[^{}]+\}", raw)
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if not json_match:
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return None
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# Fallback: try to extract fulfilled/evidence from raw text
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fulfilled = "true" in raw.lower()[:100] or "yes" in raw.lower()[:100] or "erfüllt" in raw.lower()[:100]
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return {
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"id": f"rag-{hash(control_text) % 10000}",
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"label": f"{regulation}: {control_text[:80]}...",
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"passed": fulfilled,
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"severity": "LOW" if fulfilled else "MEDIUM",
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"matched_text": raw[:100] if fulfilled else "",
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"issue": "" if fulfilled else raw[:100],
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"control_text": control_text[:200],
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"regulation": regulation,
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}
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result = json.loads(json_match.group())
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json_str = json_match.group()
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# Fix common LLM JSON issues
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json_str = re.sub(r'(?<=[{,])\s*(\w+)\s*:', r' "\1":', json_str) # Unquoted keys
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json_str = json_str.replace("True", "true").replace("False", "false")
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try:
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result = json.loads(json_str)
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except json.JSONDecodeError:
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# Last resort: extract boolean from raw text
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fulfilled = "true" in json_str.lower() or "fulfilled" in raw.lower()[:200]
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return {
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"id": f"rag-{hash(control_text) % 10000}",
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"label": f"{regulation}: {control_text[:80]}...",
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"passed": fulfilled,
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"severity": "LOW" if fulfilled else "MEDIUM",
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"matched_text": "",
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"issue": "",
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"control_text": control_text[:200],
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"regulation": regulation,
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}
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return {
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"id": f"rag-{hash(control_text) % 10000}",
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