fix(agents): Impressum+Cookie delegieren MC-Laden ans Main Tool — Scope-Filter + Maßnahmen
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Regression: Der v3-Agent-Pfad baute eine parallele MC-Pipeline (_load_impressum_mcs / _load_cookie_mcs, Roh-SELECT) und lief damit an allen Schutzmechanismen der Engine vorbei → GOV/Branchen-MCs als HIGH bei OEM/Zulieferer, fremde MCs (Bestellbestätigung), und action=check_question (Fragen statt Maßnahmen im Frontend). - Agent delegiert MC-Laden an rag_document_checker._load_controls (P72-Scope, check_type='text', fits_doc_type/scope_requires). - Subtraktives Sektor-Gate (SECTOR_PREFIXES) + Themen-Gate am Agent-Rand. - action = konkrete Maßnahme (Imperativ) statt check_question. - rag_document_checker: from __future__ import annotations (3.9-Import). - mcs: Name-Pattern erkennt "Aktiengesellschaft" (OEM-Impressums). - Tote GT-/Semantic-/Routes-Tests wiederbelebt (v3-Mismatch + agent.cascade-Patch-Target). Alle 72 Specialist-Tests grün. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
@@ -207,3 +207,47 @@ HECTRONIC = ImpressumGT(
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ALL_GROUND_TRUTH = (ETO, SAFETYKON, BMW, ELLI, HECTRONIC)
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def make_mc(
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control_id: str,
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pass_criteria: list[str],
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severity: str = "HIGH",
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title: str | None = None,
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regulation: str = "TMG",
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article: str = "§ 5",
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check_question: str | None = None,
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) -> dict:
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"""Baut ein doc_check_controls-MC-Dict wie `_load_controls` es liefert —
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fuer Tests die `_load_controls` mocken (Agent delegiert ans Main Tool)."""
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return {
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"id": control_id,
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"control_id": control_id,
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"title": title or control_id,
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"regulation": regulation,
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"article": article,
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"severity": severity,
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"check_question": check_question or f"Ist {control_id} vorhanden?",
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"pass_criteria": list(pass_criteria),
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"fail_criteria": [],
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}
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# Kern-Impressum-MCs die ein vollstaendiges Impressum erfuellt. Der
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# Regex-Boost (Layer 0) hebt sie bei vorhandenen Pflichtangaben auf PASS,
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# sodass ein sauberes Impressum 0 Findings produziert. Jede pass_criteria
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# enthaelt >=2 Boost-Keywords damit boost_matches_db_mc greift.
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CORE_IMPRESSUM_MCS: list[dict] = [
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make_mc("IMP-NAME-A1", ["Anbieter Anschrift Adresse Firma angegeben"]),
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make_mc("IMP-MAIL-A1", ["E-Mail Kontaktmöglichkeit angegeben"]),
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make_mc("IMP-TEL-A1", ["Telefon Telefonnummer Rufnummer angegeben"],
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severity="MEDIUM"),
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make_mc("IMP-HR-A1", ["Handelsregister Registernummer HRB angegeben"]),
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make_mc("IMP-UST-A1", ["Umsatzsteuer USt-IdNr angegeben"],
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severity="MEDIUM"),
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make_mc("IMP-VTR-A1",
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["Geschäftsführer Vorstand Vertretungsberechtigt angegeben"]),
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make_mc("IMP-VTRL-A1",
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["Geschäftsführer Vorstand deutsche Bezeichnung Rechtsform"],
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severity="MEDIUM"),
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]
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@@ -0,0 +1,69 @@
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"""Tests für Cookie-Policy-Agent v3 — Delegation an die Main-Tool-Engine,
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Sektor-Filter und Maßnahmen statt Fragen."""
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from __future__ import annotations
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import asyncio
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from compliance.services.specialist_agents.cookie_policy import v3_engine
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from compliance.services.specialist_agents.cookie_policy.agent import (
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_build_measure,
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)
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def _run(coro):
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return asyncio.get_event_loop().run_until_complete(coro)
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def test_build_measure_is_imperative_not_question():
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m = _build_measure("Speicherdauer der Cookies", "TDDDG § 25")
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assert "?" not in m
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assert "ergänzen" in m.lower()
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assert "Rechtsgrundlage" in m
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def test_build_measure_handles_empty_label():
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m = _build_measure("", "")
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assert "?" not in m
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assert m.strip() != ""
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def test_cookie_v3_delegates_and_sector_filters(monkeypatch):
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"""run_v3_pipeline lädt über die Main-Tool-Engine (cookie) und das
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Sektor-Gate entfernt GOV-MCs out-of-scope."""
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async def _fake_load(doc_type, db_url, limit, business_scope=None):
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assert doc_type == "cookie"
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return [
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{"control_id": "COOKIE-1-A1", "title": "Cookie-Kategorien",
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"regulation": "TDDDG", "article": "§ 25", "severity": "HIGH",
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"check_question": "Kategorien genannt?",
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"pass_criteria": '["Cookie Kategorien essentiell"]',
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"fail_criteria": "[]"},
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{"control_id": "GOV-9-A1", "title": "Behörden-Cookie",
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"regulation": "X", "article": "", "severity": "HIGH",
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"check_question": "Behörde?",
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"pass_criteria": '["Behörde Aufsicht"]',
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"fail_criteria": "[]"},
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]
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monkeypatch.setattr(
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"compliance.services.rag_document_checker._load_controls",
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_fake_load,
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)
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async def _no_match(*a, **kw):
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return set()
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monkeypatch.setattr(
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"compliance.services.mc_embedding_matcher.embedding_match",
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_no_match, raising=False,
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)
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text = ("Diese Website verwendet Cookies. Cookie-Kategorien: "
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"essentiell, funktional. Speicherdauer und Zweck beschrieben. "
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) * 4 # > 100 Zeichen
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results, telem = _run(
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v3_engine.run_v3_pipeline(text, business_scope=set()),
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)
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cids = {r["control_id"] for r in results}
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assert "GOV-9-A1" not in cids # Sektor out-of-scope entfernt
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assert "COOKIE-1-A1" in cids # cookie-MC bleibt
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assert telem["sector_dropped"] == 1
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@@ -11,7 +11,10 @@ import asyncio
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import pytest
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from compliance.services.specialist_agents import AgentInput, ImpressumAgent
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from tests.fixtures.impressum_groundtruth import ALL_GROUND_TRUTH
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from tests.fixtures.impressum_groundtruth import (
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ALL_GROUND_TRUTH,
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CORE_IMPRESSUM_MCS,
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)
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def _run(coro):
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@@ -19,15 +22,40 @@ def _run(coro):
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@pytest.fixture(autouse=True)
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def _no_llm(monkeypatch):
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"""Skip LLM-Eskalation in den GT-Tests — wir testen MC-Pattern,
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nicht LLM-Halluzinationen."""
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async def _no_cascade(*a, **kw): return None, []
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def _agent_offline(monkeypatch):
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"""GT-Tests offline + deterministisch: LLM-Eskalation aus, MC-Laden ueber
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die gemockte Main-Tool-Engine (CORE_IMPRESSUM_MCS), Embedding aus. Der
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Agent delegiert jetzt ans Main Tool — daher `_load_controls` mocken."""
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import copy
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async def _no_cascade(*a, **kw):
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return None, []
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monkeypatch.setattr(
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"compliance.services.specialist_agents.impressum.agent.cascade",
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"compliance.services.specialist_agents._semantic_validator.cascade",
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_no_cascade,
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)
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async def _fake_load(doc_type, db_url, limit, business_scope=None):
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return copy.deepcopy(CORE_IMPRESSUM_MCS)
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monkeypatch.setattr(
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"compliance.services.rag_document_checker._load_controls",
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_fake_load,
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)
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async def _no_embed(*a, **kw):
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return None
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async def _no_match(*a, **kw):
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return set()
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monkeypatch.setattr(
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"compliance.services.mc_embedding_matcher.ensure_mc_embeddings",
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_no_embed, raising=False,
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)
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monkeypatch.setattr(
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"compliance.services.mc_embedding_matcher.embedding_match",
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_no_match, raising=False,
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)
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@pytest.mark.parametrize("gt", ALL_GROUND_TRUTH, ids=lambda g: g.name)
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def test_no_false_positives_on_expected_clean(gt):
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@@ -15,10 +15,17 @@ from compliance.services.specialist_agents import (
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ImpressumAgent,
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Severity,
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)
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from compliance.services.specialist_agents.impressum.agent import (
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_build_measure,
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)
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from compliance.services.specialist_agents.impressum.regex_boost import (
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BOOST_KEYWORDS,
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boost_matches_db_mc,
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compute_regex_boosts,
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criteria_on_topic,
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)
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from compliance.services.specialist_agents.impressum.v3_engine import (
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_filter_controls,
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)
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@@ -187,3 +194,152 @@ def test_short_text_skipped():
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def test_agent_version_is_three():
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agent = ImpressumAgent()
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assert agent.agent_version == "3.0"
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# ── Themen-Gate: criteria_on_topic ──────────────────────────────────
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def test_criteria_on_topic_keeps_genuine_telefon():
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assert criteria_on_topic([
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"Telefonnummer angeben",
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"Erreichbar per Telefon",
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]) is True
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def test_criteria_on_topic_keeps_genuine_address():
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assert criteria_on_topic([
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"Vollständige Postadresse (Straße, Hausnummer, PLZ, Ort)",
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]) is True
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def test_criteria_on_topic_drops_bestellbestaetigung():
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# Fremd-MC: kein Impressum-Themenüberlapp → raus.
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assert criteria_on_topic([
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"Bestellbestätigung wird nach Vertragsschluss versendet",
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"Bestelleingang wird dokumentiert",
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]) is False
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def test_criteria_on_topic_single_incidental_hit_dropped():
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# 'E-Mail' allein (1 Treffer) reicht nicht — braucht >=2.
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assert criteria_on_topic([
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"Bestellbestätigung wird per E-Mail versendet",
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]) is False
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def test_criteria_on_topic_drops_behoerdliche_anzeige():
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assert criteria_on_topic([
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"Behördliche Anzeige der Tätigkeit erfolgt",
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"Gewerbeanmeldung liegt vor",
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]) is False
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def test_criteria_on_topic_empty_kept():
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# Keine Kriterien = kein Signal → konservativ behalten.
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assert criteria_on_topic([]) is True
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# ── Scope-Filter: _filter_controls ──────────────────────────────────
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def _mc(control_id, pass_criteria):
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return {"control_id": control_id, "pass_criteria": pass_criteria,
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"fail_criteria": []}
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def test_filter_controls_drops_gov_when_out_of_scope():
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controls = [_mc("GOV-814-A03", ["Behörde meldet an Aufsichtsstelle"])]
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kept, stats = _filter_controls(controls, business_scope=set())
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assert kept == []
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assert stats["sector_dropped"] == 1
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def test_filter_controls_keeps_gov_when_in_scope():
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controls = [_mc("GOV-814-A03",
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["Aufsichtsbehörde und Behörde benannt"])]
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kept, stats = _filter_controls(controls,
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business_scope={"government"})
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assert len(kept) == 1
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assert stats["sector_dropped"] == 0
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def test_filter_controls_keeps_genuine_impressum_mc():
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controls = [_mc("AUTH-1954-A07",
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["Vollständige Postadresse mit Straße und PLZ"])]
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kept, stats = _filter_controls(controls, business_scope=set())
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assert len(kept) == 1
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assert stats["sector_dropped"] == 0
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assert stats["offtopic_dropped"] == 0
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def test_filter_controls_drops_offtopic_non_sector_mc():
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controls = [_mc("ECOM-1-A1",
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["Bestellbestätigung nach Vertragsschluss versenden"])]
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kept, stats = _filter_controls(controls, business_scope=set())
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assert kept == []
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assert stats["offtopic_dropped"] == 1
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# ── Maßnahme statt Frage: _build_measure ────────────────────────────
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def test_build_measure_is_imperative_not_question():
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m = _build_measure("USt-IdNr", "§ 5 Abs. 1 Nr. 6 TMG")
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assert "?" not in m
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assert "ergänzen" in m.lower()
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assert "Rechtsgrundlage" in m
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def test_build_measure_handles_empty_label():
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m = _build_measure("", "")
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assert "?" not in m
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assert m.strip() != ""
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# ── Delegation an Main-Tool-Engine + Filter (Integration) ───────────
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def test_run_v3_pipeline_delegates_and_filters(monkeypatch):
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"""run_v3_pipeline lädt über die Main-Tool-Engine (_load_controls
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gemockt), normalisiert JSONB-Strings und das Sektor-/Themen-Gate
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entfernt GOV (out-of-scope) + fremde MCs. Genuine MC bleibt."""
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from compliance.services.specialist_agents.impressum import v3_engine
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async def _fake_load(doc_type, db_url, limit, business_scope=None):
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# pass_criteria absichtlich als JSON-STRING (wie asyncpg JSONB)
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return [
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{"control_id": "AUTH-1954-A07", "title": "USt-IdNr",
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"regulation": "TMG", "article": "§ 5", "severity": "HIGH",
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"check_question": "Ist die USt-IdNr angegeben?",
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"pass_criteria": '["USt-IdNr"]',
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"fail_criteria": "[]"},
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{"control_id": "GOV-814-A03", "title": "Behördliche Anzeige",
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"regulation": "X", "article": "", "severity": "HIGH",
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"check_question": "Behörde informiert?",
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"pass_criteria": '["Aufsichtsbehörde und Behörde benannt"]',
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"fail_criteria": "[]"},
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{"control_id": "ECOM-1-A1", "title": "Bestellbestätigung",
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"regulation": "X", "article": "", "severity": "HIGH",
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"check_question": "Bestellbestätigung versandt?",
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"pass_criteria":
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'["Bestellbestätigung nach Vertragsschluss versenden"]',
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"fail_criteria": "[]"},
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]
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monkeypatch.setattr(
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"compliance.services.rag_document_checker._load_controls",
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_fake_load,
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)
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# AUTH-MC matched per Keyword → kein Layer-2-Embedding nötig; kein
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# mc_embedding_matcher-Mock erforderlich.
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text = ("Beispiel GmbH\nMusterstr. 1\n12345 Berlin\n"
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"USt-IdNr: DE123456789\n") * 5 # >100 Zeichen
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results, telem = _run(
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v3_engine.run_v3_pipeline(text, business_scope=set()),
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)
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cids = {r["control_id"] for r in results}
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assert "GOV-814-A03" not in cids # Sektor out-of-scope
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assert "ECOM-1-A1" not in cids # themenfremd
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assert "AUTH-1954-A07" in cids # genuine MC bleibt
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assert telem["sector_dropped"] == 1
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assert telem["offtopic_dropped"] == 1
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@@ -13,6 +13,7 @@ from compliance.services.specialist_agents._semantic_validator import (
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standard_label,
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validate_present,
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)
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from tests.fixtures.impressum_groundtruth import make_mc
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def _run(coro):
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@@ -91,10 +92,33 @@ def test_semantic_demotion_high_to_low(monkeypatch):
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"compliance.services.specialist_agents._semantic_validator.cascade",
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_fake_cascade,
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)
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# Agent delegiert MC-Laden ans Main Tool → _load_controls mocken.
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# control_id == field_id 'kontakt_telefon', damit der Semantic-Demote
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# das Finding ueber die LLM-Antwort zuordnet.
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async def _fake_load(doc_type, db_url, limit, business_scope=None):
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return [make_mc("kontakt_telefon",
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["Telefon Telefonnummer Rufnummer"],
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severity="HIGH")]
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monkeypatch.setattr(
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"compliance.services.specialist_agents.impressum.agent.cascade",
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_fake_cascade,
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"compliance.services.rag_document_checker._load_controls",
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_fake_load,
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)
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async def _no_match(*a, **kw):
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return set()
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monkeypatch.setattr(
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"compliance.services.mc_embedding_matcher.embedding_match",
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_no_match, raising=False,
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)
|
||||
|
||||
async def _no_embed(*a, **kw):
|
||||
return None
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.mc_embedding_matcher.ensure_mc_embeddings",
|
||||
_no_embed, raising=False,
|
||||
)
|
||||
|
||||
# Text OHNE Telefon-Label → MC matched nicht → HIGH-Finding
|
||||
text = (
|
||||
"Beispiel GmbH\nMusterstr. 1\n12345 Berlin\n"
|
||||
|
||||
@@ -9,6 +9,8 @@ from unittest.mock import AsyncMock, patch
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from tests.fixtures.impressum_groundtruth import make_mc
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def app(tmp_path, monkeypatch):
|
||||
@@ -69,9 +71,37 @@ def test_run_result_after_text_input(client, monkeypatch):
|
||||
# Skip LLM
|
||||
async def _no_cascade(*a, **kw): return None, []
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.specialist_agents.impressum.agent.cascade",
|
||||
"compliance.services.specialist_agents._semantic_validator.cascade",
|
||||
_no_cascade,
|
||||
)
|
||||
# Agent delegiert MC-Laden ans Main Tool → _load_controls mocken.
|
||||
# Tesla nennt 'Management' (engl.) statt deutschem GF-Label → das
|
||||
# label_korrekt-MC schlaegt fehl → erwartetes Finding.
|
||||
async def _fake_load(doc_type, db_url, limit, business_scope=None):
|
||||
# pass_criteria nur mit label_korrekt-eigenen Keywords (deutsche/
|
||||
# Bezeichnung/Rechtsform) — NICHT 'Geschäftsführer/Vorstand', sonst
|
||||
# boostet das aktive vertretungsberechtigte-Feld (Tesla: 'Management')
|
||||
# das MC faelschlich auf PASS.
|
||||
return [make_mc(
|
||||
"vertretungsberechtigte_label_korrekt",
|
||||
["deutsche Bezeichnung Rechtsform Pflicht angeben"],
|
||||
)]
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.rag_document_checker._load_controls",
|
||||
_fake_load,
|
||||
)
|
||||
|
||||
async def _no_match(*a, **kw): return set()
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.mc_embedding_matcher.embedding_match",
|
||||
_no_match, raising=False,
|
||||
)
|
||||
|
||||
async def _no_embed(*a, **kw): return None
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.mc_embedding_matcher.ensure_mc_embeddings",
|
||||
_no_embed, raising=False,
|
||||
)
|
||||
r = client.post("/api/v1/specialist-agent/test/start",
|
||||
json={"agent_id": "impressum",
|
||||
"raw_texts": [
|
||||
@@ -103,7 +133,7 @@ def test_run_result_after_text_input(client, monkeypatch):
|
||||
def test_artifacts_listing(client, monkeypatch):
|
||||
async def _no_cascade(*a, **kw): return None, []
|
||||
monkeypatch.setattr(
|
||||
"compliance.services.specialist_agents.impressum.agent.cascade",
|
||||
"compliance.services.specialist_agents._semantic_validator.cascade",
|
||||
_no_cascade,
|
||||
)
|
||||
r = client.post("/api/v1/specialist-agent/test/start",
|
||||
|
||||
Reference in New Issue
Block a user