feat(profile+report): P17 — 4 Polish-Items
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A) Cookie-Policy-Architecture-Block Fallback auf DSE-Text wenn cookie via P15 deduped wurde. Erkennt jetzt auch single-doc Sites (Safetykon-Pattern). B) Konkrete-Aufgaben-Liste: Per-Doc-Cap (3) entfernt + globaler Cap 10→20. Safetykon zeigt jetzt 7 statt 4 Aufgaben. C) business_type-Klassifizierer: B2B-Service-Cluster aus P14 als Boost. Bei 2+ Service-Indikatoren (CE-Zertifizierung/Compliance/Auditierung) wird b2b_score angehoben. Safetykon: "B2C consulting" → "B2B (consulting)". D) Vendor-Extract Fallback auf DSE-Text wenn cookie deduped + keine CMP- Payloads. LLM extrahiert dann Vendors aus dem DSE-Text. Safetykon: 0 → 1 Vendor (Google Analytics aus dem DSE-Text erkannt). Smoke-Test Safetykon: alle 4 Polish-Items wirken, kein Regression. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -536,6 +536,15 @@ async def _run_compliance_check(check_id: str, req: ComplianceCheckRequest):
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cookie_payloads.extend(e["cmp_payloads"])
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if e.get("text"):
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cookie_text = e["text"]
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# P17-D: Fallback wenn cookie via P15 deduped wurde — nutze DSE-Text
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# sofern Cookie-Begriffe drin sind, damit LLM-Vendor-Extract trotzdem
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# greifen kann.
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if not cookie_text and not cookie_payloads:
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dse_t = doc_texts.get("dse", "")
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if dse_t and any(w in dse_t.lower() for w in
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("cookie", "tracking", "google analytics", "consent")):
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cookie_text = dse_t
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logger.info("P17-D: vendor-extract Fallback auf DSE (Cookie deduped)")
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# Site-owner derived from the submitted URLs — drives the
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# INTERNAL/GROUP_COMPANY classification of vendor records.
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owner_name = _company_name_from_url(doc_entries) or ""
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@@ -681,6 +690,19 @@ async def _run_compliance_check(check_id: str, req: ComplianceCheckRequest):
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cookie_doc_url = e.get("url", "")
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cookie_cmp_payloads = e.get("cmp_payloads") or []
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break
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# P17-A: Fallback wenn Cookie-Doc via P15 deduped wurde — nutze
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# den DSE-Text wenn er Cookie-Schluesselwoerter enthaelt.
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if not cookie_doc_text:
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dse_text = doc_texts.get("dse", "")
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if dse_text and any(w in dse_text.lower() for w in
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("cookie", "tracking", "google analytics",
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"consent")):
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cookie_doc_text = dse_text
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dse_entry = next((e for e in doc_entries
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if e.get("doc_type") == "dse"), {})
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cookie_doc_url = dse_entry.get("url", "")
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cookie_cmp_payloads = dse_entry.get("cmp_payloads") or []
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logger.info("P17-A: cookie-arch fallback auf DSE (Cookie-Doc deduped)")
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if cookie_doc_text:
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arch = detect_architecture(
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doc_url=cookie_doc_url,
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@@ -182,7 +182,7 @@ def build_management_summary(results: list[DocCheckResult]) -> str:
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if c.level == 1 and not c.passed and not c.skipped
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and c.severity != "INFO"
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]
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for c in failed_checks[:3]: # Max 3 per document
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for c in failed_checks: # P17-B: kein Per-Doc-Cap
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action = _check_to_action(r.label, c.label, c.hint)
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if action:
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actions.append(action)
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@@ -193,7 +193,7 @@ def build_management_summary(results: list[DocCheckResult]) -> str:
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'Konkrete Aufgaben:</h3>'
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'<ol style="font-size:13px;color:#475569;padding-left:20px;margin:0">'
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)
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for a in actions[:10]: # Max 10 actions
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for a in actions[:20]: # P17-B: 10 -> 20
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html.append(f'<li style="margin-bottom:6px">{a}</li>')
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html.append('</ol>')
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@@ -237,6 +237,13 @@ async def detect_business_profile(documents: dict[str, str]) -> BusinessProfile:
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b2g_score = _count_hits(full_text, _B2G_KEYWORDS)
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nonprofit_score = _count_hits(full_text, _NONPROFIT_KEYWORDS)
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# P17-C: B2B-Dienstleister-Cluster (P14) als Boost — wenn ein Unternehmen
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# CE-Zertifizierung / Compliance-Beratung / Auditierung / Schulungen anbietet,
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# ist es i.d.R. B2B auch wenn die strikten B2B-Keywords nicht greifen.
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b2b_service_boost = _count_hits(full_text, _B2B_SERVICE_POSITIVE)
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if b2b_service_boost >= 2:
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b2b_score += min(3, b2b_service_boost - 1)
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# Missing documents as signal
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has_agb = "agb" in documents
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has_widerruf = "widerruf" in documents
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