feat(compliance-check): MC-Classification + Embedding + Vendor-Redundanz + Action-Recipes + Borlabs-Features

Massiv-Update auf Basis BMW-Test-Iterationen (v1→v9):

Core Compliance-Check
- Sonnet check_type Klassifikation: text/process/review fuer alle 1874 MCs
  in compliance.doc_check_controls (script + Sidecar /data/mc_classification.db).
  rag_document_checker filtert auf check_type='text' fuer doc_check.
  Plus fits_doc_type-Audit (v2) + ui_only-Audit fuer DSA/E-Commerce-MCs in
  falscher doc_type-Schublade.
- scope_requires-Filter: biometric/ai_decision/child_targeting MCs werden
  per business_profile gefiltert (FRT skipped fuer BMW etc.).
- Embedding-Match (BGE-M3) als Phase-3 nach Regex-Match:
  Per-doc_type-Threshold-Override (impressum 0.50, dse/cookie 0.60),
  Short-Field-Rescue (15-Wort-Chunks) fuer Pflichtfelder im Impressum.
  Title+check_question als Embedding-Input fuer mehr Kontext.
- Cookie-Text-Routing: consent-tester gibt cmp_cookie_text aus dem
  CMP-Reconstruct zurueck, Backend bevorzugt das gegen DOM-Extraction
  wenn richer (BMW 1824 vs 600 Worte).

Vendor-Redundanz + EU-Alternativen + Cost-Saving
- vendor_redundancy.analyze() — funktionale Kategorisierung der CMP-Vendors,
  Detektion von Mehrfach-Anbietern pro Kategorie, EU-Alternative-Lookup
  (Matomo, IONOS, HERE, Friendly Captcha, Smart AdServer, ...).
- vendor_cost_estimator: Tier-Inferenz aus Cookie-Footprint (Cookie-Anzahl
  + Premium-Feature-Cookies + Third-Party-Quote → starter/professional/
  enterprise/premier).
- Self-Service-Werbung (Google/Meta/Pinterest/...) = 0 Lizenz-Kosten
  (nur Media-Spend, separat). DSP-Plattformen behalten enge Range.
- Tier-aware Saving-Range: bei Enterprise/Premier nutzen wir den
  oberen 40-100%-Band der Listpreise, nicht starter→premier.
- Multi-Function-Tools (Matomo Pro, SAP CX, IONOS Cloud, Userlike, Smart
  AdServer, HERE Maps, Vimeo Pro, LamaPoll) — ein Tool ersetzt mehrere
  Kategorien gleichzeitig.

Cookie-Wissens-DB + Funktionale Klassifikation
- cookie_knowledge_db: 50 kuratierte Top-Cookies (Google/Meta/Adobe/MS/...)
  mit vendor, exact_purpose, data_collected, IAB-TCF-IDs, reid_risk,
  schrems_ii_status, EuGH-Urteile, EU-Alternative.
- cookie_function_classifier: pro Cookie funktionale Rolle (tracking_id,
  ad_pixel, session_id, ab_test, csrf, ...) + blocking_impact.

Country-Inferenz aus Rechtsform
- cookie_link_validator: Country-Field wird aus Vendor-Name abgeleitet
  (A/S=DK, GmbH=DE, Inc=US, B.V.=NL, ...) plus Vendor-Lookup-Table.
  Reduziert false-positive no_country-Flags bei eindeutig-EU-Vendors
  (Adform DK, Pinterest IE).

Action-Recipes + Doc-Anchor-Locator
- finding_action_recipes: pro Finding-Typ (no_cookies_listed, no_country,
  broken_opt_out, "Auftragsverarbeiter erwaehnen", "Art. 22 Profiling",
  ...) eine strukturierte Anweisung mit what/why/fix_text/where/example.
  Zum 1:1-Einfuegen in Kunden-Dokumente.
- doc_anchor_locator: Embedding-basiert (BGE-M3 cosine) — sucht den
  passenden Absatz im existierenden Kundendokument fuer jeden Finding.
  Per-Run Thread-Local-Cache. Fallback: keyword-Match.
- Email-Rendering integriert Recipe + Anchor pro Doc-Pruefungs-Fail
  + Vendor-Flag-Liste mit aufklappbarer Action-Liste.
- Score-Erklaerung pro Vendor-Zeile (3/5-Untertitel + Tooltip).

Migration-Pipeline (Compliance-Check -> Customer Banner/Documents)
- migration_to_banner.py: Vendor-Liste -> CookieBannerConfig mit
  4 Kategorien + Review-Flags.
- migration_to_document.py: Vendor-Liste -> Cookie-Policy + VVT-Register
  + Privacy-Policy-Pre-Fills.
- agent_migration_routes: 3 Preview-Endpoints (banner-preview,
  document-preview, summary). Persistierung der cmp_vendors in
  /data/compliance_audits.db check_payloads-Tabelle.

Borlabs-Parity Cookie-Banner-Features
- Consent-Historie im Banner: window.bpShowConsentHistory() + localStorage.
- Content-Blocker: cookie-banner-content-blocker.ts — YouTube/Maps/Video
  Placeholder bis Einwilligung.
- Google Consent Mode v2 erweitert: wait_for_update + region=EEA/CH/GB.
- Consent-Log Export (CSV/JSON) per einwilligungen_export_routes.

Bug-Fixes
- canonical_control_routes: _jsonish-Helper fuer string-typed jsonb,
  similar-controls-Endpoint mit _has_embedding_col()-Cache (kein 500 mehr).
- Control-Library Frontend: defensive .map-Coercer in 2 Detail-Views.
- Embedding-Service-Batching (32er Batches statt 165 in einem Call).
- KeyError 'control_id' in MC-Result-Aggregation (defensive .get).
- Master-Controls-Klick-Through von /sdk/master-controls auf
  /sdk/control-library?control=<id> mit URL-Param-Auto-Open.
- Dockerfile: /data pre-chowned auf appuser (Audit-DB-Schreibrecht).
- Cookie-Text-Routing-Bug (cmp_reconstructed > DOM-extraction).
- doc_type-aware MC-Filter (statt all-text-MCs).
- Master-Contract-Dedup (60 BMW-Internal-Eintraege = 1 Adobe-Vertrag).
- A3-v2-Audit hat 24 UI-Sprache-MCs als 'process' reklassifiziert.

Tests
- test_migration_mappers.py (9 Tests)
- test_migration_endpoints.py (4 Tests)

Skripte (one-shot)
- classify_mc_check_type.py (v1) + _v2 (PK=control_id,doc_type)
- audit_mc_doctype_fit.py (v1 fits) + _v2 (ui_only + scope_requires)

BMW-Run-Bilanz v1 (broken) -> v9 (alle Fixes):
  DSE     7,5% -> 81-83%
  Impressum 4%   -> 100% (6 echte MCs alle erfuellt)
  Cookie  0%    -> 79-83% (CMP-Text-Routing + Embedding)
  Plus: 10 Konsolidierungs-Kategorien, geschaetzte Saving 200k-3M / Jahr
  Plus: Action-Recipes + Doc-Anchors fuer jeden Fail

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

backend-compliance/compliance/api/agent_doc_check_extras.py

@@ -374,11 +374,52 @@ def _render_vendor_row_full(v: dict) -> str:
     )
     score_color = ("#16a34a" if score >= 80 else
                    "#d97706" if score >= 50 else "#dc2626")
+
+    # Score-Erklaerung: was wurde gewertet, was fehlt
+    # Annahme: Score = bestandene Kriterien / Gesamtkriterien * 100.
+    # Typisch 5 Kriterien fuer EXT: country, cookies, opt_out, privacy, scoring.
+    # Bei INTERNAL/GROUP: opt_out + privacy nicht gewertet (3 Kriterien).
+    n_criteria = 3 if is_own else 5
+    n_failed = len(flags) if flags else 0
+    score_tooltip = (
+        f"{n_criteria - n_failed} von {n_criteria} Kriterien erfuellt"
+        + (f" — fehlt: {', '.join(_flag_short(f) for f in flags[:3])}"
+           if flags else "")
+    )
+
+    # Inline-Aktions-Anweisungen pro Flag
+    actions_html = ""
+    if flags:
+        from compliance.services.finding_action_recipes import recipe_for
+        action_items = []
+        for f in flags:
+            rec = recipe_for(f)
+            if not rec:
+                continue
+            action_items.append(
+                f'<li style="margin-bottom:6px"><strong>{_flag_short(f)}:</strong> '
+                f'{rec.get("what", "")}<br/>'
+                f'<span style="color:#475569"><strong>Was tun:</strong> '
+                f'{rec.get("fix_text", "").splitlines()[0][:200]}</span><br/>'
+                f'<span style="color:#94a3b8;font-size:9px">Quelle: '
+                f'{rec.get("why", "")[:160]}</span></li>'
+            )
+        if action_items:
+            actions_html = (
+                f'<details style="margin-top:4px"><summary style="cursor:pointer;'
+                f'color:#dc2626;font-size:10px">Was muss ich tun? '
+                f'({len(action_items)} Action{"s" if len(action_items) != 1 else ""})</summary>'
+                f'<ul style="margin:4px 0 0 14px;padding:0;font-size:10px;color:#1e293b">'
+                + "".join(action_items)
+                + '</ul></details>'
+            )
+
     flag_str = ""
     if flags:
         flag_str = (
             f'<div style="font-size:10px;color:#94a3b8;margin-top:2px">'
             f'{", ".join(flags[:4])}</div>'
+            f'{actions_html}'
         )
     return (
         f'<tr style="border-top:1px solid #e2e8f0">'
@@ -391,11 +432,26 @@ def _render_vendor_row_full(v: dict) -> str:
         f'<td style="padding:6px 8px;text-align:center">{opt_status}</td>'
         f'<td style="padding:6px 8px;text-align:center">{privacy_status}</td>'
         f'<td style="padding:6px 8px;text-align:right;font-weight:600;'
-        f'color:{score_color};font-size:11px">{score}%</td>'
+        f'color:{score_color};font-size:11px" title="{score_tooltip}">'
+        f'{score}%<div style="font-size:9px;font-weight:400;color:#94a3b8">'
+        f'{n_criteria - n_failed}/{n_criteria}</div></td>'
         f'</tr>'
     )
 
 
+def _flag_short(f: str) -> str:
+    """Lesbare deutsche Form fuer einen Flag-Token."""
+    labels = {
+        "no_cookies_listed": "Cookies fehlen",
+        "no_country":        "Sitzland fehlt",
+        "no_privacy_url":    "Privacy-Link fehlt",
+        "broken_privacy_url": "Privacy-Link broken",
+        "no_opt_out_url":    "Opt-Out fehlt",
+        "broken_opt_out":    "Opt-Out broken",
+    }
+    return labels.get(f, f)
+
+
 def _link_status_badge(
     url: str | None,
     ok: bool | None,