"""B18 wiring — Specialist-Agents Phase 2 (Impressum LLM).
Ruft den LLM-Agent (impressum_agent_llm.evaluate_llm) auf, mergt das
Ergebnis mit dem Pattern-Match-Agent und deduplet nach field_id.
Rendert einen V2-HTML-Block (impressum_agent_html).
"""
from __future__ import annotations
import html
import logging
import os
from compliance.services.specialist_agents.impressum_agent import (
PFLICHTANGABEN, evaluate as evaluate_pattern,
)
from compliance.services.specialist_agents.impressum_agent_llm import (
evaluate_llm,
)
logger = logging.getLogger(__name__)
_DISABLED = os.environ.get("IMPRESSUM_AGENT_DISABLED", "").lower() in (
"1", "true", "yes",
)
async def run_b18(state: dict) -> None:
if _DISABLED:
return
doc_texts = state.get("doc_texts") or {}
imp = (doc_texts.get("impressum") or "").strip()
if len(imp) < 100:
return
# Business-scope-Inferenz aus dem profile, falls vorhanden.
profile_dict = state.get("profile_dict") or {}
scope: set[str] = set()
if profile_dict.get("has_online_shop"):
scope.add("ecommerce")
if profile_dict.get("is_regulated_profession"):
scope.add("regulated_profession")
if profile_dict.get("industry") in ("insurance", "Finance",
"finance"):
scope.add("insurance")
pattern_findings = evaluate_pattern(imp, scope)
llm_findings = await evaluate_llm(imp, scope)
# Dedup: pattern-agent + llm-agent können ähnliche field_ids melden.
# Keep first, prefer pattern (deterministisch + stable).
seen_keys: set[str] = set()
merged: list[dict] = []
for f in pattern_findings + llm_findings:
# Stable dedup key: field_id (normalised). Both agents emit
# the same field for the same gap → fold to one.
key = (f.get("field_id") or "").lower()
if key and key in seen_keys:
continue
seen_keys.add(key)
merged.append(f)
if not merged:
return
extras = state.get("extra_findings") or []
extras.extend(merged)
state["extra_findings"] = extras
state["impressum_agent_html"] = _render(merged, pattern_findings,
llm_findings)
logger.info(
"B18 impressum-agent: pattern=%d llm=%d merged=%d",
len(pattern_findings), len(llm_findings), len(merged),
)
def _render(merged: list[dict], pattern: list[dict],
llm: list[dict]) -> str:
cards = []
for f in merged:
sev = (f.get("severity") or "").upper()
color = "#dc2626" if sev == "HIGH" else (
"#f59e0b" if sev == "MEDIUM" else "#64748b"
)
agent_tag = f.get("agent") or ""
tag_html = ""
if agent_tag:
short = "LLM" if "llm" in agent_tag.lower() else "KB"
bg = "#dbeafe" if short == "LLM" else "#f1f5f9"
col = "#1e40af" if short == "LLM" else "#475569"
tag_html = (
f"{short}"
)
evidence_html = ""
if f.get("evidence"):
evidence_html = (
"
"
f"{html.escape(f['evidence'])}
"
)
cards.append(
f"
"
f"
"
f"{sev} · {html.escape(f.get('check_id') or '')}{tag_html}
"
f"
"
f"{html.escape(f.get('title') or '')}
"
f"
"
f"{html.escape(f.get('norm') or '')}
"
f"{evidence_html}"
f"
"
f"→ Empfehlung: "
f"{html.escape(f.get('action') or '')}