Commit Graph

3 Commits

Author SHA1 Message Date
Benjamin Admin ea4dbb223f feat(vvt): per-vendor extraction + opt-out check + VVT table in email (V1)
When a known CMP (ePaaS, OneTrust) renders the cookie policy, we now
extract structured vendor records, probe their opt-out + privacy URLs,
score each vendor (0-100), and append a 'VVT-Vorschlag' table to the
compliance email — one row per vendor, sortable by compliance score.

consent-tester:
- DSIDiscoveryResult.cmp_payloads: surfaces raw CMP JSON to callers
- DSIDiscoveryResponse: new cmp_payloads field
- discover_dsi_documents sets cmp_payloads from cmp_capture
- cmp_library/{epaas,onetrust}.py: new extract_vendors(d) returning
  list[VendorRecord]

backend:
- _fetch_text() now returns (text, cmp_payloads) tuple
- doc_entries store cmp_payloads per doc (mostly cookie)
- _autodiscover_missing forwards homepage payloads to the cookie entry
- New module vendor_extractor.py: dispatches ePaaS/OneTrust/generic
  schemas; dedupes vendors across multiple payloads
- cookie_link_validator.py extended with validate_vendor_urls(vendors)
  and score_vendors(vendors) — 0-100 score per vendor based on name,
  purpose, country, opt-out reachable, privacy URL reachable, cookies
  with names + expiry
- agent_doc_check_extras.build_vvt_table_html: renders the table
- Route appends VVT HTML after the provider list, before the
  document-by-document report
- Response JSON gains cmp_vendors for future frontend rendering

Example for BMW: ~30 ePaaS providers → table with Name | Kategorie |
Sitz | Cookies | Opt-Out (✓/✗) | Privacy (✓/✗) | Score. Sorted by
score ascending so the worst-compliant vendors are at the top.
2026-05-17 09:50:11 +02:00
Benjamin Admin 525038359a feat(compliance-check): auto-discover missing doc types from homepage
When the user leaves some doc-type rows empty, the tool now actively
searches the website for them — only marks 'not found' as last resort.

Flow:
1. User submits N URLs (e.g. just DSI)
2. For each canonical doc_type with no submitted URL/text, the route
   identifies the most-common base (scheme://netloc) from submitted URLs
3. Calls consent-tester /dsi-discovery on the homepage with
   max_documents=15 (180s timeout)
4. Classifies every discovered doc into a canonical doc_type via
   title/URL keyword rules (_DISCOVERY_RULES — covers cookie/widerruf/
   social_media/agb/nutzungsbedingungen/dsb/impressum/dse)
5. Fills matching empty entries with the discovered text, marks
   auto_discovered=True and discovery_attempted=True

Padding now differentiates:
- 'Auf der Website nicht gefunden' — discovery was attempted, no doc
  matched. Amber badge, friendly hint to add URL manually.
- 'Nicht eingereicht — Quelle nicht angegeben' — user gave NO URLs at
  all, nothing to crawl from. Grey badge.

Email + frontend:
- Status labels: NICHT GEFUNDEN (amber) vs NICHT EINGEREICHT (grey)
- 'Gepruefte Quellen' table tags auto-discovered URLs with a small blue
  'auto-entdeckt' badge so GF sees what tool found vs user submitted.

Implementation only runs when ≥1 URL was submitted (no base to crawl
from otherwise). Adds 30-90s for unsubmitted types but avoids the
'just say nicht gefunden' anti-pattern.
2026-05-17 01:14:05 +02:00
Benjamin Admin e61e9d9e2a feat(agent): progress_pct + 6 BMW-Run Verbesserungen
Backend (agent_compliance_check_routes.py):
- progress_pct (0-100%) im Job-State, ueber alle Phasen verteilt
  (Laden 0-30, Profil 35-40, Pruefen 40-80, Banner 80-92, Report 95-100)
- Status-Texte vereinheitlicht ("Texte laden X/N", "Pruefen X/N")
- Firmenname fuer Email-Subject jetzt aus URL abgeleitet
  (bmw.de -> "BMW", mercedes-benz.de -> "Mercedes-Benz") statt
  unzuverlaessigem extracted_profile.companyName (matchte oft juris.de)
- E-Mail-Report enthaelt jetzt Banner+TCF-Vendor-Liste (build_provider_list_html)

Backend (agent_doc_check_extras.py — neu):
- build_scanned_urls_html: gepruefte URLs als Tabelle oben im Report
  (transparent fuer GF, welche Quellen wirklich gezogen wurden)
- Cross-Domain-Hinweis bei >1 netloc (BMW: bmw.de / bmwgroup.com /
  bmwgroup.jobs — Auffindbarkeit nach Art. 12 DSGVO)
- build_provider_list_html: Banner-Box + TCF-Vendor-Tabelle mit Spalten
  Name | Kategorie | Zweck | Drittland | Rechtsgrundlage

Backend (business_profiler.py):
- §34d-GewO Versicherungsvermittler-Hinweise zaehlen nicht mehr als
  "finance"-Industrie (BMW wurde dadurch falsch als B2B/finance erkannt)
- Neue Industry "automotive" (Fahrzeug/KFZ/Konfigurator/Modellpalette)
- B2B-Keywords: generische Begriffe wie "unternehmen", "beratung",
  "consulting" entfernt (matchten in jedem Konzerntext)
- B2C-Fallback: bei Verbraucher-Signalen ("widerruf", "kunde",
  redaktioneller Inhalt) tendiert auf b2c statt b2b

Frontend (ComplianceCheckTab.tsx):
- Progress-Balken mit Width-% und XX%-Anzeige rechts
- liest data.progress_pct aus Polling-Response

Consent-Tester (dsi_discovery.py):
- Cookie-Policy-Extraktion kritisch fixt: wait_for_function bis
  body.innerText > 500 chars (BMW SPA-Rendering brauchte mehr Zeit)
- _extract_text_robust: 3-Strategien-Extraktion (Selektoren -> Body-
  Cleanup -> P/LI/TD-Tags)
- _extract_text_from_iframes: liest OneTrust/Sourcepoint/Usercentrics
  Iframe-Inhalte (manche Cookie-Policies leben dort)

Adressiert alle Findings aus dem BMW-Ground-Truth-Vergleich.
2026-05-16 17:53:14 +02:00