7 Commits

Author	SHA1	Message	Date
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
Benjamin Admin	33bf2b7c5a	feat(service-detector): detect 118 services in legal texts (was 20) ... New service_detector.py uses service_registry (88 entries) plus 30+ extra text patterns to detect services mentioned in DSI/legal texts. Results on Spiegel: 31/32 services detected (97%, was 5/32 = 16%). Includes metadata: name, category, country, EU adequacy status. - Profiler now uses detect_services_in_text() instead of 20-entry list - Profile extractor adds detected_services with full metadata - Auto-generates scope hint for non-EU services (Drittlandtransfer) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-13 16:00:15 +02:00
Benjamin Admin	5e317d2f0f	fix: text extraction 50k char limit was root cause of all Spiegel FNs ... ROOT CAUSE: main.py line 338 truncated full_text at 50,000 chars. Spiegel DSI has 107,720 chars (13,705 words) — only 47% was extracted. DSB, Art. 77, Betroffenenrechte were all in the truncated portion. Fixes: 1. Raise text limit from 50k to 200k chars in API response + discovery 2. click_button(): add iframe fallback for Sourcepoint/Quantcast 3. dsi_helpers: iterate ALL page.frames for consent buttons 4. Profiler: only check impressum (not full text) for regulated professions, and "rechtsanwalt" must be in first 500 chars (company description) 5. GT: save full Spiegel DSI text (13,705 words) as reference Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-13 15:22:38 +02:00
Benjamin Admin	c702260ec1	fix: 5 regex bugs + text extraction scroll + GT update ... Root cause: Spiegel DSI text was truncated (lazy-loading) — the rights/DSB/complaints sections at the bottom were never extracted. Fixes: 1. Text extraction: scroll to bottom before innerText (dsi_discovery.py) 2. V.i.S.d.P.: add "verantwortlicher i.s.v." + "§18 Abs. N MStV" pattern 3. USt-IdNr: add "umsatzsteuer-id" + "DE 212 442 423" (with spaces) 4. Profiler: remove generic "anwalt"/"praxis" (false positive on Spiegel "Redaktionsanwalt"), keep only "rechtsanwalt", "kanzlei" etc. 5. Section splitter: auto_fill_from_dsi() fills empty Cookie/Social-Media rows from sections found in the DSI text Ground Truth 06-spiegel.md fully rewritten with verified data from live website — 3 L1 False Negatives identified (DSB, Beschwerderecht, Betroffenenrechte all present on website but not in extracted text). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-13 01:20:55 +02:00
Benjamin Admin	be9cfdc2d4	feat(compliance-check): skip Widerruf for B2B, limit MCs, fix industry ... - Skip Widerrufsbelehrung check entirely for B2B/B2G businesses - Limit MC checks to top 20 per doc_type (by severity) to reduce noise (e.g. 75 impressum MCs → 20, avoiding 55 irrelevant FAILs) - Add consulting/manufacturing industry keywords (arbeitssicherheit, brandschutz, werkzeugbau, etc.) - Lower industry detection threshold from 2 to 1 keyword hit Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-12 17:03:57 +02:00
Benjamin Admin	407a9503e4	fix(profiler): fix B2G false positive + add consulting/manufacturing ... - Remove generic B2G keywords (behörde, amt, öffentlich) that match in every DSI due to "Aufsichtsbehörde", "Amtsgericht", "veröffentlichen" - Remove "server" from it_services (too generic, appears in every DSI) - Add consulting, manufacturing, media industries - Add B2B fallback for GmbH/AG without B2C signals - Add 10 ground truth files for unified compliance check Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-12 12:20:44 +02:00
Benjamin Admin	0d0e705117	feat: Unified Compliance-Check — 8 document types in one form ... New 3-tab structure: Website-Scan, Compliance-Check, Banner-Check. Compliance-Check Tab (replaces Dokumenten-Pruefung + Impressum-Check): - 8 document rows: DSI, Impressum, Social Media, Cookie, AGB, Nutzungsbedingungen, Widerruf, DSB-Kontakt - Each row: URL input + "Text laden" + file upload + manual text - "Text laden" extracts via consent-tester, shows in editable textarea - User verifies/corrects text before checking - Empty fields = "not present" → own finding Business Profiler (business_profiler.py): - Detects B2B/B2C/B2G from all documents together - Recognizes regulated professions, online shops, editorial content - Context-aware: INFO checks become PASS/FAIL based on profile Backend: /compliance-check + /extract-text endpoints Frontend: ComplianceCheckTab.tsx + DocumentRow.tsx API proxies: compliance-check/route.ts + extract-text/route.ts Also: Impressum regex fixes (Telefon, AG, Geschaeftsfuehrung) and INFO severity for context-dependent checks. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-11 20:56:10 +02:00