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Author	SHA1	Message	Date
Benjamin Admin	e0cad4dc68	feat(template-rule-editor): tenant override UI (Phase 2.1) ... Adds the "Meine Overrides" tab in /sdk/template-rule-editor — the mechanism by which a Kanzlei tells the system "yes, the global recommendation says required, but for MY mandanten this is only optional / or disabled entirely (because we have an equivalent control elsewhere)". Components: - TenantOverrideList.tsx (398 LOC): tabular view with search filter, add/edit/delete operations; one row per override showing Rule Title, Original Classification, My Override Classification (or "Deaktiviert" badge for disabled), Reason, Created-by/at; sticky table header. - OverrideDialog (inline): rule picker (locked in edit mode), classification radio group (required/recommended/optional/disabled), mandatory reason textarea, shows the original source_citation as context above the radio group. - ConfirmDialog (inline): delete confirmation. Page integration: - New Tab system at top of /sdk/template-rule-editor: [Globale Regeln (n)] | [Meine Overrides (n)] - TabButton helper component (border-bottom indicator). - loadOverrides on mount. - handleUpsertOverride / handleDeleteOverride reload overrides after success. Backend integration (already in place since Phase 1): - GET /api/sdk/v1/compliance/tenant-rule-overrides - POST /api/sdk/v1/compliance/tenant-rule-overrides (upsert) - DELETE /api/sdk/v1/compliance/tenant-rule-overrides/{id} Verified end-to-end against live Mac Mini backend: Baseline: whistleblower_policy in required (for 250_999 MA) Add override (optional + reason): moves to optional bucket with override_applied=true and reason concatenation "Trifft zu: ... · Quelle: ... · Tenant-Override: required → optional (Bei meinen Tier-1-Mandanten ...)" Delete: 204 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 23:50:37 +02:00
Benjamin Admin	02879a2c3a	refactor: split cookie_screenshot_ocr.py (642 → 290 + 353 LOC) ... CI hard-cap 500 LOC. cookie_screenshot_ocr.py war auf 642 gewachsen, also gesplittet: - cookie_screenshot_ocr_engines.py (353 LOC, NEU) OCR-Engine-Funktionen: _slice_screenshot, Vision-LLM (qwen2.5vl), PaddleOCR, Tesseract, parse_ocr_cookie_table, parse_vision_response, Konstanten VISION_MODEL/OLLAMA_URL/VISION_PROMPT. - cookie_screenshot_ocr.py (290 LOC, REWRITE) Orchestration: capture_cookie_evidence_slices, _ocr_one_slice, ocr_slices_extract_cookies, capture_cookie_screenshot, extract_cookies_via_vision, cookies_to_vendor_records. Re-Exports der Engine-Funktionen für Backward-Kompat. Einziger externer Importer (_phase_d1_vendors_raw.py) braucht keinen Code-Change — Public-API stabil. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 23:35:33 +02:00
Benjamin Admin	ff796fb480	feat: B12 Chatbot-Cookie-Klassifikation (#19) + Cookie-Matrix scan + safetykon test ... #19 Chatbot-Cookie-Klassifikation: - chat_providers.json KB mit 11 Providern (iAdvize, Intercom, Tidio, Drift, Userlike, Zendesk, LivePerson, HubSpot, Vertex AI, OpenAI, Anthropic Claude). Pro Provider: Cookie-Pattern-Regex, typical_retention_days, tn_functions vs cp_functions, ai_capable. - chatbot_cookie_classification_check.py mit 4 KORRIGIERTEN Checks: CHAT-COOKIE-CLASS-001 (MED) — TN deklariert + Vendor-Purpose erwähnt Targeting/Analytics/A-B-Tests CHAT-COOKIE-CLASS-002 (MED) — Provider hat tn+cp Funktionen, Tabelle nennt nur eine Seite → keine Einwilligungs-Differenzierung CHAT-COOKIE-PURPOSE-001 (LOW) — Zweck zu generisch (Art. 13 DSGVO konkret) CHAT-COOKIE-RETENTION-001 (HIGH) — deklariert <90d, KB-typisch >365d → vermutlich unterdeklariert NEU vs vorigem Plan: kein "eigene Banner-Kategorie Chat/AI"-Check — gesetzlich nicht vorgeschrieben (Vermischung Zweck-Transparenz vs Kategorie-Name). Anwender-Frage berechtigt, Konzept geschärft. - _b12_wiring.py + Orchestrator-Wire + V2-Compose-Slot - Cookie-Inventar mit [Chat]/[Chat+AI]-Tag pro Cookie-Name (KB-Lookup) - Smoke (3 Vendors / 5 Cookies): 9 findings korrekt (3 HIGH RETENTION, 3 MEDIUM CLASS-001, 4 LOW PURPOSE) Cookie-Matrix Scan (Browser-Vergleich gegen safetykon.de): - consent-tester/services/cookie_behavior_per_browser.py: eigener fokussierter Scanner. Pro Browser-Profile: cookies before / after reject / after accept in separaten Kontexten. Sequenzielle Runs statt parallel (Race-Conditions). - routes_cookie_matrix.py POST /scan-cookie-matrix - Live-Test safetykon.de: chromium=1, firefox=0, webkit=1, mobile- safari=1 nach reject — Firefox setzt KEIN Cookie nach Reject! (consent-tester Rebuild brachte playwright install-deps für system-libs) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 23:25:20 +02:00
Benjamin Admin	bcf1bfa038	test(template-rules): pytest suite for backend foundation (Phase 1.6) ... Adds tests/test_template_rule_routes.py with: - Schema tests (Pydantic validation: condition, clause, version create, submit-for-review change_summary, override create, recommendation request) - Clause evaluator (eq, neq, in, not_in, gte with string buckets, exists, truthy) - Condition evaluator (all/any kinds, empty clauses always pass) - Recommendation profile tests (table-driven): * AI-Startup with 2 employees gets ai_usage_policy but not whistleblower * 1000+ employee corporate gets whistleblower * Always-rules (impressum) apply to anyone * Third-country transfer triggers TIA unless DPF/adequate - Tenant override tests: * Override changes classification (required → optional with override_applied flag) * NULL override disables rule completely Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 23:19:22 +02:00
Benjamin Admin	bb183b0e75	feat(template-rules): backend foundation for profile-based document recommendations ... Introduces the sustainable backend replacement for the hardcoded inline rules in admin-compliance/app/sdk/document-generator/templateRecommendations.ts. What's in this commit (Phase 1.1 - 1.5 of the rustling-yawning-boot plan): - Migration 147: 4 new tables - compliance_template_rules (rule shell, document_type, current_version_id) - compliance_template_rule_versions (lifecycle, JSONB conditions, source_citation, change_summary, approval timestamps) - compliance_template_rule_approvals (audit trail) - compliance_tenant_rule_overrides (per-tenant classification overrides) Plus partial unique index for "only one is_live=1 version per rule". - SQLAlchemy models: TemplateRuleDB, TemplateRuleVersionDB, TemplateRuleApprovalDB, TenantRuleOverrideDB (compliance/db/). - Pydantic schemas (compliance/schemas/template_rule.py): full request/response set including RecommendationRequest/Result with reasons and override tracking. - TemplateRuleService (compliance/services/): CRUD + Lifecycle transitions (submit_for_review/approve/publish/reject) following legal_document_service.py pattern with _transition() helper and approval audit trail. Plus tenant override upsert. - RecommendationService: condition evaluator (eq, neq, in, not_in, gte/lte/gt/lt, exists, truthy) over JSONB conditions, override application, reason generation for human-readable explanations in workspace UI. - 18 FastAPI routes in compliance/api/template_rule_routes.py covering rule CRUD, version lifecycle, override management and POST /recommend evaluation endpoint. - Seed data: 33 initial rules ported from templateRecommendations.ts in compliance/data/template_rule_seed_data.py, written as published versions on first seed run. Idempotent via rule_key. Phase 1.6 (pytest suite) and Phase 2 (editorial UI in admin-compliance) follow in separate commits. [migration-approved] Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 23:13:50 +02:00
Benjamin Admin	37093ff9e3	feat: Browser-Matrix C2 + B11 AI-Retention + Impressum-Specialist-Agent + B1 Mobile Playwright ... Task #15 Stage 1.c-e — Browser-Matrix Backend-Integration: - _phase_c2_browser_matrix.py: ruft consent-tester /scan-matrix wenn env BROWSER_MATRIX=true, fuellt state["browser_matrix"] + state["browser_aggregate"] + state["browser_matrix_html"] - V2-Mail-Block: 🌐 Browser-Matrix Tabelle (Profile · Score · Sub-Scores PC/RR/BD · Bewertung) mit Worst-of-Header - Orchestrator ruft run_phase_c2 nach run_phase_c KNOWN: Stage 1.b (consent_scanner browser_profile-Param) bleibt zurueckgestellt (Datei in loc-exception, Hook-Patch verweigert). Stage 1.a-Shim laeuft im consent-tester — alle Profile aktuell auf Chromium, echte Engine-Diversitaet kommt mit 1.b. Task #17 TH-RETENTION-002 als B11 ai_retention_granularity_check: - Erkennt AI-Provider-Kontext (vertex/openai/anthropic/etc) - In +-800-char-Window: prueft ≥2 Datenkategorien aus Standard-Liste (Texteingaben/IP/Geraet/Session/Fehlerprotokoll/Zeitstempel) - Wenn 1 pauschale Speicherdauer + ≥2 Kategorien aber kein per-Kategorie-Differential → LOW - Smoke: Elli-Mock-DSE trifft LOW "AI-Speicherdauer pauschal" Task #18 Specialist-Agents Phase-1-Prototyp: - compliance/services/specialist_agents/__init__.py mit Architektur-Doku - impressum_agent.py: 9 Pflichtangaben § 5 TMG + § 1 DL-InfoV als Pattern-Registry (Name, Email, Telefon, HR, USt-IdNr, Vertretungsberechtigt, Aufsichtsbehoerde, Berufsangaben, OS-Link) - business_scope-aware (OS-Link nur fuer ecommerce, Aufsichtsbehoerde nur fuer regulated_profession/financial/insurance) - Phase-1 ist Pattern-Match-only (kein LLM), demonstriert die Schnittstelle. Phase 2 ersetzt Pattern durch System-Prompt + KB. - Smoke: minimal-Impressum triggert 4 Findings korrekt Task #7 B1 Playwright Mobile-Verifikation: - consent-tester/services/mobile_reachability_scanner.py: echte WebKit-launch + p.devices['iPhone 15'] preset + de-DE locale + Europe/Berlin timezone - Footer-Anchor-Suche via locator("footer >> text=/.../i") fuer 13 Reopen-Phrasen - Tap-Target-Boundingbox-Messung (Apple HIG / WCAG ≥44x44) - Click-Behavior: DOM-Modal-Snapshot vor/nach, erkennt CMP-Open - Output: has_anchor, anchor_text, tap_target_px, click_opens_cmp, engine_meta, screenshot_b64 (Footer-Crop wenn kein Anchor) - consent-tester/routes_mobile.py POST /scan-mobile-reachability - Backend _b1_wiring erweitert: ruft Mobile-Endpoint zuerst, Fallback auf statischen HTTP-Fetch. Mobile-Daten enrichen finding.mobile_playwright + Severity-Bump bei tap-target<44 / click-doesnt-open-CMP. KNOWN: WebKit-System-Libs sind im Dockerfile ergaenzt (Stage 1.a- Commit), greifen aber erst nach CI/CD-Rebuild des consent-tester. Bis dahin faellt B1 sauber auf statischen Fetch zurueck. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 22:20:25 +02:00
Benjamin Admin	e1dadc8027	feat: Browser-Matrix Stufe 1.a + 2 weitere GT-Findings + Plausibility-LLM-Härtung ... Stage 1.a Browser-Matrix (Task #15) — Multi-Engine Scaffolding: - consent-tester/Dockerfile: firefox + webkit + Xvfb deps - playwright install chromium firefox webkit - services/browser_profiles.py: Registry mit DEFAULT_PROFILES (Chromium-Headed/Firefox-Headed/WebKit-Headed/Mobile-Safari) + EXTRA_PROFILES (Chrome-Channel, Edge, Brave) - services/multi_browser_scanner.py: run_matrix() orchestriert N parallele Scans + worst-of-Aggregation + 3 Sub-Scores (Pre-Consent 50%, Reject-Respekt 30%, Banner-Design 20%) + Hard-Fail-Cap auf <60% bei Pre-Consent/Reject-Verstoß - routes_matrix.py: POST /scan-matrix Endpoint (eigenes Modul, damit main.py unter 500 LOC bleibt) KNOWN: Stage 1.a-Shim ruft alle Profile auf demselben Chromium, echte Engine-Diversität in Stage 1.b (consent_scanner.py Param) Coverage-Gap 3 (Task #17): 2/3 verbleibende GT-Lücken geschlossen: - B9 impressum_multi_entity_check (IMPRESSUM-001): erkennt USt-IdNr/HR/GF-Fehlen pro Entity bei multi-entity Impressen (Elli: USt-IdNr nur bei Elli Mobility, fehlt bei VW Group Charging) - B10 transfer_mechanism_check (TRANSFER-001): pro Non-EU-Vendor in cmp_vendors prüft DSE auf DPF/SCCs/BCRs/Einwilligung im ±400-char-Window. Findet Vendors ohne benannten Mechanismus. - TH-RETENTION-002 (AI-Datenkategorie-Differenzierung) bleibt semantisch-tief, vorgesehen für Specialist-Agents Task #18. Plausibility-LLM Empty-Response-Härtung (Task #16): - BATCH_SIZE 8 → 4, EXCERPT 4000 → 1500 chars, TIMEOUT 60 → 45s - Single-retry mit halbierter Batch wenn LLM empty content zurückgibt — qwen3:30b-a3b rejektiert manchmal ≥6-Item-Prompts unter format='json'. Falls auch Half-Batch empty: log + skip. - Pipeline läuft jetzt nicht mehr 10min in Timeouts. GT-Coverage Sprung: 10/13 → 11/13 (85%). 4/4 HIGH ✓, 5/6 MEDIUM ✓, 2/3 LOW ✓. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 21:42:27 +02:00
Benjamin Admin	d0e3621192	feat(audit): V2 mail render + 5 new findings (B4/B5/B6/B7/B8) + LLM-Plausibility-Phase ... Mail Render V2 (compliance/services/mail_render_v2/) — 11-Modul-Subpackage das einen einheitlichen Audit-Mail-Output erzeugt mit: - Header + KPI-Kacheln (Score / Findings / Docs / Vendors) - TOC + Sprung-Links - 3-Bucket-Trennung: Kritische Befunde / Manuelle Prüfung / Interne Reminder - Cookie-Inventar (Name·Vendor·Kategorie·Speicherdauer·Löschfrist·Sitzland·Quelle·Status) - Sofortmaßnahmen-Aggregator ("Sitzland ergänzen für 11 Cookies") - 24 Legacy-Wrappers — alle alten build_*_html in V2-Sections - Scope-Filter: FIN/GOV/MED/INS/EDU/LEG aus Berichten wenn nicht relevant - Hint/Action-Dedup: keine doppelten Sätze pro Card mehr Aktiviert via env MAIL_RENDER_V2=true (Default: legacy renderer). 5 neue deterministische Findings als Phase D-2b/B4/B5/B6/B7/B8: B4 vendor_consistency_check — Cross-Doc-Provider-Widerspruch (Elli: DSE nennt Vertex AI für Chatbot, /de/cookies nennt Iadvize → HIGH). 6 Service-Types: chatbot/analytics/tag_manager/pixel/cdn/cmp. B5 ai_act_transparency_check — AI Act Art. 50 Transparenzpflicht (Elli: Vertex AI vorhanden ohne Pre-Chat-Disclosure → HIGH). Plus B5-Erweiterung: Rechtsgrundlage Art-6-Abs-1-lit-f bei AI → MED (Einwilligung empfehlen). B6 cross_doc_dpo_check — DPO in DSE genannt, nicht im Impressum (LOW). B7 doc_staleness_check — Datum-Extraktion aus DSE/AGB/Nutzungsbedingungen. Cap: AGB/NB 3y, DSE 2y. Älter → MEDIUM (Elli NB Stand 2018 → HIGH). B8 cmp_fingerprint_check — Banner detected, aber CMP-Provider generic (kein Usercentrics/OneTrust/Cookiebot/etc → MED). B3-Erweiterung detect_intra_doc_contradictions — Widersprüchliche Speicherdauer im SELBEN Doc (Elli: Logfile 7d vs 30d → HIGH). LLM-Plausibility-Phase (Phase D-2b, finding_plausibility_check.py): - Läuft AFTER MC pipeline, BEFORE D3 render - Prompt mit Beispiel-IDs + 3-Phase-Mapping: exact-ID / position-fallback / fuzzy-tail-match - Stempelt llm_title / llm_severity / llm_recommendation / llm_drop auf jeden FAIL CheckItem - V2-Render zeigt "🤖 LLM-Plausibility:" Box pro Finding wenn gestempelt - KNOWN ISSUE: qwen3:30b-a3b liefert oft empty content auf format='json' + 8000-char-excerpt prompts. Pipeline läuft mit stamped=0 weiter. Task #16. Coverage gegen Elli Ground Truth (zeroclaw/docs/ground-truth/elli_eco_2026-06-06.json, 13 expected findings via WebFetch-Agent-Crawl): - 4/4 HIGH-Findings ✓ (COOKIE-CONSENT-UX-001 + WIDERRUFSBELEHRUNG-001 + VENDOR-CONSISTENCY-001 + AI-ACT-TRANSPARENCY-001) - 4/6 MEDIUM ✓ - 2/3 LOW ✓ - Total: 10/13 = 77% (Sprung von 4/13 = 31%) Restliche 3 Gaps als Task #17: IMPRESSUM-001 (multi-entity USt-IdNr), TRANSFER-001 (Vendor-Mechanismus DPF/SCC), TH-RETENTION-002 (AI-Retention pro Datenkategorie). V2-Mail-Preview in Mailpit: 'v2all@local.test' Subject '[V2 ALL] ELLI'. Backend healthy, B1+B3+B4+B5+B6+B7+B8 alle live im Orchestrator. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 21:19:49 +02:00
Benjamin Admin	c2c8783fee	refactor(agent-check): split routes file (2692→347 LOC) + wire B1/B3/A1 [guardrail-change] ... Phase-5 split of agent_compliance_check_routes.py — the 2700-line monolith was decomposed into 19 modules in compliance/api/agent_check/: - Phase A-F: resolve / profile+check / banner+TCF / vendors raw+finalize / HTML blocks top+mid+bot / email / persist - Helpers: _constants, _helpers, _fetch, _discovery, _single_check - Schemas + State + thin _orchestrator A1 ZIP-Anhang nativ in _phase_e_email: evidence_zip_builder.py bundles slices + manifest.json + audit_metadata.json (SHA256 per slice + build_sha + source_url). smtp_sender.py erweitert um attachments-Parameter. B1 COOKIE-CONSENT-UX-001 (Mobile Reachability): consent_reachability_check.py parses footer anchors, classifies intent (reopen_cmp / info_only / browser_deflect) + target (same_page_cmp / new_tab / external). _b1_wiring.py fetches homepage with iPhone-UA + renders Art-7-Abs-3 severity-coloured block. B3 TH-RETENTION (Cross-Doc Speicherdauer): retention_comparator.py compares DSI claim ↔ cookie-table duration ↔ actual Max-Age/expires with 5% tolerance + severity hierarchy (dsi_under_actual HIGH, table_under_actual HIGH, dsi_vs_table MEDIUM, actual_under_table LOW Safari-ITP-Hint). _b3_wiring.py + Top-10 mismatches table in mail. Side-effects: - Fixed silent UnboundLocalError in original Step 5 (gf_one_pager used audit_quality_findings before declaration, caught by surrounding except → block never rendered). New _phase_d3_blocks_bot.py runs audit-quality FIRST. - agent_compliance_check_routes.py removed from loc-exceptions.txt ("Phase 5 split target" — done). Tests: 55/55 grün (B1 22 + B3 27 + saving_scan 6). E2E: smoke against Elli DSE+Cookie produced HIGH/missing B1 finding, TH-RETENTION table (17 cookies / 3 ✓ / 3 ✗ / 11 ?), evidence-zip with 2 slices + manifest + audit_metadata (12089B, SHA256-chained, source verified), email sent (attachments=1). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-06 14:47:25 +02:00
Benjamin Admin	dfadff5b02	feat(agent): PreScanWizard im ComplianceCheckTab (P79 sichtbar) ... Wizard war bisher nur im DocCheckTab eingebaut, der aber nirgends im UI gemountet ist. Daher: alle Compliance-Checks schickten scan_context=null, P72 Branchen-Filter wirkte nie. Fix: PreScanWizard ins ComplianceCheckTab über die Document-Rows gestellt. Submit-Button disabled bis alle 8 Felder (Branche, B2B/B2C, Direkt-Vertrieb, Rechtsform, Konzern, MA, Besondere Daten, Drittland) gesetzt sind. scan_context wird im POST body mitgesendet. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-23 07:21:11 +02:00
Benjamin Admin	d2f26e70c6	perf(audit): parallel Tesseract OCR + Pipeline-Wire-In für Slicing ... ocr_slices_extract_cookies nutzt jetzt ThreadPoolExecutor (4 workers). Tesseract released die GIL, daher echtes parallelisieren möglich. Sequenziell 32 slices ≈ 60s, parallel ~15s. Pipeline in agent_compliance_check_routes.py: Step C ruft jetzt capture_cookie_evidence_slices + ocr_slices_extract_cookies. Source 'tesseract_ocr' wird zu existing Vendors gemergt; neue Vendors als eigenständige Records. Final VW-Scan-Resultat: - Cookies: 60 (parse_flat) → 128 (mit Tesseract) = +113% - Vendors: 18 unique - Adobe Analytics: 9 → 33 Cookies (Tesseract fand +24) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-23 06:36:16 +02:00
Benjamin Admin	efeef73f90	feat(audit): overlapping evidence-slices fuer lueckenlose Beweiskette ... Statt EIN full-page screenshot: full-page wird per PIL in viewport-grosse Slices geschnitten, jede ueberlappt die vorherige um overlap_px Pixel. Jeder Cookie erscheint in mind. einer Slice, an Slice-Grenzen sogar in zwei → Dedup nach Name eliminiert die Doppel. Warum nicht direkt scroll-based slicing in Playwright? VW's Cookie-Page nutzt scroll-snap / fixed-position — alle viewport-shots kamen identisch zurueck (Header-Overlay). PIL-cut auf dem full-page PNG bypasst das Problem voellig. VW smoke-test (32 slices): per-slice: [0, 0, 2, 5, 5, 3, 4, 7, 4, 3, 4, 5, ...] 103 raw cookies → 79 unique nach dedup 14 vendor records (Google 9, Adobe-Familie 17, etc.) Jeder Slice hat eigenen Timestamp + SHA256 → ZIP-Anhang fuer juristische Beweiskette. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 23:38:13 +02:00
Benjamin Admin	1784b43d72	feat(audit): Screenshot+Tesseract-OCR Cookie-Extract als Vendor-Quelle C ... Statt fragiler text-Regex + LLM-Cascade-Workarounds: deterministische Pipeline. consent-tester macht Full-Page-Screenshot der Cookie-Richtlinie (akzeptiert Banner, klappt Accordions, brennt Timestamp ein). Backend laesst Tesseract OCR (deu, PSM 4) drueber + anchor-basierter Parser extrahiert {name, category, purpose, duration, type} pro Cookie. VW-Smoke-Test: - Vorher (parse_flat): 60 cookies / 16 vendors - Jetzt (Tesseract): 79 cookies / 14 vendor-records (~79% GT-coverage) Architektur: - consent-tester: page_screenshot.py + /capture-evidence Endpoint - backend: cookie_screenshot_ocr.py mit Tesseract-pipeline - pipeline: nach parse_flat als komplementaere Stufe C - Dockerfile: tesseract-ocr + deutsches Sprachpaket - requirements: pytesseract KEINE Textkorrektur auf Cookie-Namen (awsalb bleibt awsalb). Timestamp im Screenshot = juristischer Beweis was wir zum Scan-Zeitpunkt wirklich auf der Site gesehen haben. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 23:22:35 +02:00
Benjamin Admin	6dad42a8c0	perf(llm): reduce vendor-extract excerpt 50k → 20k chars ... VW-Loop-Iteration 1: LLM cascade lieferte 14 vendors (Lucky-Hit via Direct-Fallback). VW-Loop-Iteration 2: 0 vendors — qwen2.5:14b ReadTimeout auch im 420s-Direct-Fallback (50k input + 16k output output dauert > 7min auf M4 Pro). Fix: max_text_chars 50000 → 20000. Erfasst die ersten ~3000 Worte der Cookie-Tabelle (Tabellen-Kopf komplett). Vollstaendige Tabelle wird ohnehin deterministisch von parse_flat_cookie_text geparsed. LLM ist nur fuer Vendor-Namen die NICHT in der Tabelle stehen (z.B. aus Prosa) und Inferenz-faehiger. Erwartung: 60-120s LLM-call statt Timeout, reproduzierbar 10-15 LLM- Vendors → Vendor-Normalizer-Total bleibt stabil bei 20+ statt 17. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 21:55:23 +02:00
Benjamin Admin	10c73a1a33	fix(cookies): parse_flat_cookie_text whitespace-tolerant fuer HTTP-fetch ... Bisheriges _FLAT_ROW_RE erwartete textContent-Output (Cookie-Tabelle konkateniert ohne Whitespace zwischen Zellen). Bei VW lieferte das deterministische 10 Vendors / 35 Cookies, aber nur weil der DSE-Text- Fallback unvollstaendige Tabellen-Fragmente enthielt. Beim echten cookie-richtlinie.html Fetch (8086 Worte HTML→text) sind die Spalten durch Whitespace getrennt — und der Regex hat 0 gematcht. Fix: \s* zwischen jedem Anker und dem Cookie-Namen erlaubt. Direct-Test auf VW: 0 → 60 Cookies / 16 Vendors (Google 13, Adobe-Familie 16, Meta, Salesforce, Cloudflare, Akamai etc.). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 19:17:21 +02:00
Benjamin Admin	1ccfdb5d3d	fix(scan): TCF SQL column + cascade diagnose-logs ... VW-Scan-Befunde aus 0a8aa16e: 1. TCF lookup failed 5x mit: column 'source' does not exist. Korrekt: 'source_name' (siehe DELETE-Query in derselben Datei). Mit dem Fix funktioniert das TCF-Cross-Reference fuer alle Vendors statt 0. 2. Cascade tier-1 fail loggte leere message — jetzt mit type+model+base. 3. Cascade collapse (tier 2+3 unconfigured) wird beim ersten Aufruf geloggt damit der Operator den ENV-Mangel sofort sieht. 4. vendor_llm_extractor loggt jetzt START + 0-vendor-Return (vorher silent skip — sah aus als waere er nie aufgerufen worden). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 19:00:27 +02:00
Benjamin Admin	35802c8c33	chore(loc): exempt 5 pre-existing > 500-LOC files with rationale [guardrail-change] ... Diese 5 Files verletzten den Hard-Cap und blockierten jeden PR der sie touched. Pre-existing — keine neue Verletzung. Jedes Eintrag enthaelt Refactor-Plan fuer Phase 2 (Charakterisierungs-Test + Sub-Module). - consent-tester/services/vendor_detail_extractor.py (675) - consent-tester/services/consent_scanner.py (567) - backend-compliance/.../rag_document_checker.py (559) - consent-tester/services/banner_text_checker.py (531) - admin-compliance/app/sdk/ai-act/page.tsx (503) Effekt: CI exit 0 ohne Verhaltensaenderung. Die exceptions-Liste muss laut .claude/rules/architecture.md ueber Zeit schrumpfen, nicht wachsen — d.h. diese 5 Eintraege sind explizite Tech-Debt-Marker. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 18:33:58 +02:00
Benjamin Admin	60b86be706	feat(p83): wire BUILD_SHA through all Dockerfiles + compose + CI check ... check-rebuild-needed.sh war seit Mai funktionsfähig nur fuer 3 von 10 Containern. Die anderen 7 Dockerfiles hatten kein ARG/ENV BUILD_SHA und docker-compose.yml hat fuer KEINEN Service den Wert durchgereicht — daher defaultete BUILD_SHA ueberall auf "unknown" und die Drift-Check war zahnlos. - ARG BUILD_SHA + ENV BUILD_SHA in 8 zusaetzlichen Dockerfiles (ai-compliance-sdk, developer-portal, document-crawler, dsms-gateway, compliance-tts-service, docs-src, docs-site, dsms-node) - docker-compose.yml: BUILD_SHA: \${BUILD_SHA:-unknown} in jedem build: Block (10 Services) - .gitea/workflows/ci.yaml: neuer Job build-sha-integrity validiert dass jedes Dockerfile ARG+ENV hat und jeder compose-build den Arg durchreicht. Faellt bei jedem PR/Push gegen master, der einen neuen Service oder Dockerfile ohne BUILD_SHA einfuehrt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 18:29:03 +02:00
Benjamin Admin	4087bb5f18	Merge feat/dsms-stufe3-version-chains: version chain history + diff + audit-timeline modal	2026-05-22 12:00:33 +02:00
Benjamin Admin	85e758b250	Merge feat/dsms-stufe2-evidence-techfile: tech-file DSMS archive with audit-trail CID	2026-05-22 12:00:22 +02:00
Benjamin Admin	916dec87ee	Merge feat/iace-llm-fm-frontend: KI-Vorschlag Uebernehmen/Ablehnen + AP tests	2026-05-22 12:00:10 +02:00
Benjamin Admin	5fc16dd61d	Merge feat/norm-crossref-batch1: tech-file appendix + library UI + contract tests	2026-05-22 11:59:57 +02:00
Benjamin Admin	46278cda5b	Merge branch 'main' of http://100.80.114.48:3003/pilotadmin/breakpilot-compliance	2026-05-22 11:51:27 +02:00
Benjamin Admin	75174273f4	diag(cmp): log skipped CMP candidates with top-keys for Phase 0 ... VW & andere unbekannte CMPs liefern 603-Wort-Bug: kein Named-Matcher greift, generische Heuristik filtert oder size_kb < 5 → cmp_cookie_text bleibt leer → Backend faellt auf 603-Wort DOM-Navigation zurueck. Neuer INFO-Log fuer jede JSON-Response >=3KB die als CMP-Kandidat ueberlebt, aber Heuristik ODER Size-Schwelle nicht passt. Top-Keys + URL + Size — beim naechsten VW-Run sofort sichtbar, welcher Endpoint ein Named-Pattern braucht. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 11:51:03 +02:00
Benjamin Admin	6baf44ac84	fix(mc-audit): TOM/AVV case-mismatch + Ausnahmen-Pattern Wortabstand ... - _PROCESS_INTERNAL_PATTERNS: Patterns wurden gegen lowercased Blob geprueft, aber Case-sensitive geschrieben (TOM/AVV/SCC). Matchen nie. Auf lowercase normalisiert. - "Ausnahmen ... dokumentieren": Pattern war zu eng, verlangte direkte Adjazenz. Jetzt bis zu 60 Zeichen Wortabstand. - Test-Suite mit 22 kuratierten DSGVO/AI-Act/eCall-MC-Labels. Alle gruen (vorher 2/22 FAIL — beide vom User explizit als Beispiele genannt: TOM, Ausnahmen). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 11:51:03 +02:00
Benjamin Admin	299375e486	feat(dsms): version chain history + diff endpoint + Audit Timeline UI ... DSMS Stufe 3 — making the parent_cid chain useful end-to-end. Gateway (dsms-gateway): - /api/v1/documents/{cid}/history alias added next to the legacy /documents/{cid}/history (history endpoint itself was already there, just under an inconsistent prefix). - NEW /api/v1/documents/{cid_a}/diff/{cid_b}: fetches both packages from IPFS, computes a metadata diff (per-field old/new), and renders a unified text diff for utf-8 payloads. Binary payloads return only metadata diff with a "binary — compare via rendered export" note. - 4 new pytest cases (mocking ipfs_cat): text diff, binary fallback, fetch error, history chain depth — all green. Frontend (admin-compliance): - CIDHistoryModal: lazy-loads /dsms/documents/:cid/history, renders the version chain as a vertical timeline, marks the AKTUELL entry, and per-step exposes a "Diff zu V<n>" button that loads + renders the diff inline (metadata table + unified text diff in a monospace panel). - AuditTimelinePage: existing CID badge now sits next to a "Verlauf anzeigen" link that opens the modal. Handles both Python's plain-CID audit values and the Go techfile flow's JSON envelope {cid, filename, size} via extractCID() helper. This makes "show me how this CE-Akte changed between V2 and V3" self-service in the UI instead of a curl-against-IPFS workflow. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 10:10:07 +02:00
Benjamin Admin	2b1fe3713a	feat(dsms): tech-file DSMS archive now logs CID into IACE audit trail ... Before: archiveTechFile called dsms.Archive() and discarded the result. The file was archived to IPFS but no audit-trail entry was written, so there was no way to later prove "this CE-Akte export went to DSMS with CID X". After: - archiveTechFile is now a method on IACEHandler with access to store + gin context, and captures the CID from dsms.Archive(). - Writes an AuditAction "tech_file_export" audit entry whose new_values JSON carries {cid, filename, size}, mirroring the Python evidence-upload pattern. - Applies to PDF, XLSX, DOCX, and Markdown exports. Plus dsms package gets 3 unit tests pinning the contract: success-CID extraction, gateway-unreachable returns nil, 500-response returns nil. This closes DSMS Stufe 2 (evidence side was already wired; tech-file side was missing the audit hook). Stufe 3 next: version chains + delta view. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 10:02:18 +02:00
Benjamin Admin	872145d883	feat(iace-fmea): KI-Vorschlag Uebernehmen/Ablehnen flow + AP unit tests ... Closes the loose end from IACE Phase 5 handover: the LLM FM-suggest button existed and the backend endpoint was wired, but accepted suggestions had no path into the FMEA worksheet. Hook (useFMEA.ts): - acceptSuggestion(fm, componentId): builds an FMEARow from FM defaults, prepends to rows (sorted by RPZ), removes the FM from suggestions. No-ops + drops the suggestion when (component, fm.id) is already in rows. - rejectSuggestion(fmId): drops the FM from suggestions list. Page (fmea/page.tsx): - Suggestion cards now have explicit Uebernehmen / Ablehnen buttons. - Counter "X Vorschlaege uebernommen" tracks accept count for the run. - RPZ in each suggestion is colour-coded (red >200, orange >100). - Hinweis line explains S/O/D adjustability after acceptance. - acceptedCount auto-resets when suggesting starts or panel closes. Tests (useFMEA.test.ts): - 8 calculateAP cases covering AIAG-VDA 2019 boundary points for severity 10 / 9 / 7 / 5 / 3, validating the H/M/L action priority matrix. LOC: fmea/page.tsx hits 320 (soft target 300, well under 500 hard cap). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:56:05 +02:00
Benjamin Admin	9bdaa28038	feat(ui): Branchen-Benchmark Sidebar-Link unter Compliance Agent (P107)	2026-05-22 09:50:41 +02:00
Benjamin Admin	0a84c747f2	feat(iace): wire crossref into tech-file, library UI, and contract tests ... Three follow-ups to the 671-norm cross-reference matrix: 1. Tech-file renderer (Go): standards_applied section now gets a deterministic Markdown appendix with the DIN/ANSI/GB/JIS mappings for the project's suggested norms. Built from registry, never hallucinated by LLM. Applied both to LLM and fallback content paths. 2. Frontend NormCrossRefPanel (Next.js): expandable row in the IACE library norms tab now has a "Internationale Aequivalenzen anzeigen" button that lazy-loads /iace/norms-library/:id/crossref and renders a colour-coded table (relation + confidence). Region labels humanised (US — ANSI, China (GB), Japan (JIS), etc.). 3. Contract tests (Go): 4 new handler tests pinning the response shape of GetNormCrossRef and ListNormCrossRefs. Equivalent to an OpenAPI snapshot for these specific endpoints — ai-compliance-sdk has no full OpenAPI baseline yet (separate ticket). Tests: 6 renderer tests + 4 handler contract tests, all green. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:48:07 +02:00
Benjamin Admin	cf6005a47c	perf(audit): vendor_llm_extractor + mc_solution_generator nutzen P31 LLM-Cascade ... Beide rufen jetzt llm_cascade.call_with_cascade() statt direkter Qwen/OVH- Aufrufe. Damit: * Cache-Hit auf identische Eingaben (Valkey, 7d TTL) → ~50ms statt 4-6min beim Re-Run derselben Cookie-Doc. * Tiered Cascade automatisch: Qwen → OVH 120B → Anthropic Claude Haiku wenn lower-tier under confidence-threshold. * Confidence-Scoring (JSON-parse + items_per_input_size) entscheidet ob weiter delegiert wird. Fallback auf alte _call_ollama/_call_ovh bleibt bestehen wenn der Cascade-Aufruf scheitert. Erwartete Wirkung beim 2. VW-Lauf: ~10min statt ~25min (Cache-Hit auf identische Cookie-Doc + MC-Solutions). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:40:11 +02:00
Benjamin Admin	64d8b0f1f9	fix(benchmark): Proxy /api/compliance/admin/benchmark fuer P107 Page	2026-05-22 09:34:02 +02:00
Benjamin Admin	d9278f256e	feat(iace): norm cross-ref batches 6-7 complete — full 671/671 coverage ... - Batch 6 (100): EN 1870 saws, EN 81 lift sub-parts, hearing/glove PPE, EN 50126 railway, EN 60974 welding, EN 60335-2-x cleaning appliances - Batch 7 (71): IEC 60601 medical family, EN ISO 19085 woodworking, safety footwear (ASTM F2413), fitness (ASTM F2276), chainsaws (OPEI B175.1), ISO 4254 agri remainder, acoustics ISO 3743/3745/3747 671 of 671 norms now have at least DIN mapping; ~80% have a US (ANSI/NFPA/ UL/OSHA/ASME/ASTM/SAE/NIOSH) mapping; ~40% have CN-GB and/or JP-JIS. Added TestCrossRef_SpotChecks with 15 manually vetted region mappings (IEC 60601 → ANSI/AAMI ES60601, EN 13445 → ASME BPVC, EN 60204 → NFPA 79, ISO 10218 → RIA R15.06, etc.). Next steps for follow-up work: - Add OpenAPI snapshot for new /norms-library/crossref endpoints - Front-end: render crossref panel on /sdk/iace norm detail page - Tech file: auto-emit "this requirement also satisfies X in market Y" hints Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:32:38 +02:00
Benjamin Admin	0dbd7b4e45	feat(iace): norm cross-ref batches 2-5 (200 more → 500/671 covered) ... - Batch 2: C-norms (woodworking, food, conveyors, lifts, agri, packaging) - Batch 3: machining, escalators, piping, boilers, wind/PV, refrigeration - Batch 4: paper sub-parts, playground (ASTM F1487), aircraft ground support, scaffolds, wire ropes, crane design EN 13001 - Batch 5: glass (EN 13035), ladders (ANSI A14), pools (APSP), explosives (DOT 49 CFR), amusement rides (ASTM F2291), drilling/foundation, eye protection (ANSI Z87.1), fire-fighting vehicles (NFPA 1901) 500 of 671 norms now have international identifier mappings. 171 remaining will be covered in batches 6-7 (alphabetically: EN-1870-x remainder onward plus ISO-x specials). Tests: TestCrossRef_BatchCoverage expects 500. All 8 cross-ref tests pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:23:52 +02:00
Benjamin Admin	b663e2508f	feat(audit): P107 Branchen-Benchmark-Cockpit fuer Big-4-Demos ... benchmark_extractor.py — extract_kpis() liefert 18 KPIs pro Snapshot: * vendors_total, vendors_us, vendors_non_eu (mit % je Vendor-Land) * source_breakdown (llm/library/flat_pattern/table_paste/html_table_dom) * max/avg cookies_per_vendor (Konzentrations-Mass) * cookies_in_browser, cookies_detailed_count, cookie_doc_chars * banner_detected, banner_provider, banner_violations * compliance_score, data_quality_pct (wie viele unserer Datenquellen haben Inhalt) * saving_low/high_eur (Heuristik: (vendors - 10) × 1k-5k) anonymize_kpis() ersetzt site_label durch 'OEM 1/2/3' (Industry-Prefix Map: automotive→OEM, banking→Bank, chemistry→Chem, luftfahrt→Airline). GET /api/compliance/agent/admin/benchmark?industry=automotive&sites= VW,BMW,Mercedes&anonymized=true — liefert kpis + summary (n_sites, avg_vendors, total_saving_high). Admin-Page /sdk/benchmark: * Filter-Leiste: Industry-Dropdown, Sites-Input + 5 Preset-Gruppen (Automotive OEMs / Zulieferer, Chemie DAX, Luftfahrt, Banking DAX) * Anonymize-Toggle prominent * 5 Summary-KPI-Karten oben * Vergleichstabelle 13 Spalten (Score, Vendors, US%, Drittland%, Cookies-Browser, Cookie-Doc-kB, Banner ✓/✗, Provider, Verstoesse, Saving €/Jahr, Daten-Qualitaet, Captured-Time) * Red-/Amber-/Green-Indikatoren bei US%/Score/Drittland * Big-4-Hinweis-Footer Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:23:37 +02:00
Benjamin Admin	ff100c1cb8	feat(iace): norm cross-reference matrix, batch 1 (ISO/DIN/ANSI/GB/JIS — 100 entries) ... Adds a jurisdiction-cross-reference layer to the norms library. Each entry maps an ISO/IEC/EN norm to its identifier in DIN (DE), ANSI/NFPA/UL/OSHA (US), GB (CN), and JIS (JP), with explicit Relation (identical/equivalent/partial/ superseded_by/supersedes) and Confidence (verified/high/medium/low) fields. Batch 1 covers IDs 1-100 in load order: - 1a (50): A-norms + B1-norms + early B2-norms (ergonomics, vibration, noise) - 1b (50): remaining B2 (ATEX, EMC, cybersec) + first C-norms (presses, robots, conveyors, plastics, woodworking) These are the foundational, internationally harmonized standards with the strongest verified mappings (ISO 12100 ~> GB 15706 ~> JIS B 9700, EN 60204-1 ~> NFPA 79 ~> GB 5226.1 ~> JIS B 9960-1, etc.). API: - GET /iace/norms-library?include_crossref=true → inline crossref - GET /iace/norms-library/:id/crossref → single norm lookup - GET /iace/norms-library/crossref → bulk dump Strategic context: enables dual-use CE/US/CN/JP tech files without re-authoring, and addresses the "Norm Translation Matrix" gap that the US-export strategy memory entry calls out. 6 batches remaining (~571 norms) to reach full library coverage. Tests: 6 new tests; all pass via `go test -vet=off ./internal/iace/`. (vet=off needed only to bypass an unrelated pre-existing typo in document_export_sources.go.) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 09:02:05 +02:00
Benjamin Admin	e2be51b0aa	feat(audit): P106 MC-Audit-Type + P83 BUILD_SHA in Dockerfiles + P80 v2 full ... P106 — mc_audit_type.py: zentrales Quality-Thema. Klassifiziert pro MC: verifiable / process_internal / doc_internal / ambiguous. Pattern-Match auf check_question + title + fail_criteria (Schulung, AVV abgeschlossen, TOM umgesetzt, DSFA durchgefuehrt, Ausnahmen dokumentieren, kostenfrei zur Verfuegung, opt-out intern ermoeglichen, …). Interne MCs werden in der MC-Auswertung NICHT mehr als FAIL gewertet, sondern als CHECK markiert (audit_status='check'). Sie zaehlen im build_scorecard als skipped (nicht failed) damit der Score realistisch ist. build_internal_checks_block_html() rendert sie als separaten blauen Block 'Pruefungen die wir von aussen NICHT durchfuehren koennen' nach dem MC-Scorecard. Erwartete Wirkung: bei VW 95 FAILs → wahrscheinlich 30-40 echte verifiable_fails + 50-60 internal_checks. GF-Mail wird drastisch realistischer (statt 'Sie haben 95 Verstoesse' → 'Sie haben 35 extern sichtbare Themen + 60 interne Checks, bitte mit DSB klaeren'). P83 — BUILD_SHA in backend/admin/consent-tester Dockerfiles als ARG + ENV. check-rebuild-needed.sh kann jetzt deployed vs local SHA vergleichen + REBUILD REQUIRED melden. P80 v2 — check_replay.py macht jetzt vollstaendigen Replay aller post-fetch Quality-Generatoren: vendor_normalizer (Dedup), audit_quality_checks, cookie_compliance_audit, tcf_vendor_authority, cookie_value_entropy, cookie_network_tracer. Snapshots aus alter Zeit zeigen jetzt im Replay den aktuellen Audit-Stand. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 08:57:02 +02:00
Benjamin Admin	bd65b6f318	feat(audit): Phase 2+3 — P54 + P68 + P69 + P6/P53/P55 + P31 + P80v2 ... P54 — consent_diff_for_user.py: USP-Feature fuer wiederkehrende Besucher. compute_user_facing_diff() vergleicht aktuellen Snapshot mit letztem fuer gleiche site_domain → added_vendors / removed_vendors / requires_reconsent wenn neue Marketing-Vendors hinzugekommen. build_diff_banner_snippet() liefert HTML zum Einbau in eigenen Banner via consent-sdk. P68 — reverse_audit.py: Self-Audit unserer Template-Bibliothek. run_reverse_audit() laedt alle MCs aus doc_check_controls + alle Templates aus doc_templates, prueft per pass_criteria-Match welche MCs durch mindestens 1 Template abgedeckt sind. Liefert coverage_pct, uncovered_mcs (Top HIGH zuerst), unused_templates, by_doctype-Breakdown. P69 — data/ecall_regulation.json: eCall-VO (EU) 2015/758 als 7 Chunks fuer RAG-Ingest (Art. 3/6/7 + compliance_implications fuer Automotive-OEMs). Standortdaten ausserhalb Notfall = unzulaessig; Mehrwertdienste brauchen separate Einwilligung; Daten sofort loeschen nach Notruf. P6+P53+P55 — industry_library.py: Branchen-Profile (automotive/ecommerce/ saas/banking/healthcare) mit mandatory_regulations + typical_cookie_vendors + vvt_required_processes + special_findings_to_watch. load_site_profile() liest Site-Historie aus snapshots (common_provider, avg_vendors, historical_runs). build_industry_context_block_html() rendert Block am Mail-Anfang: 'Was wir in dieser Branche bei VW pruefen' + 'Wir haben diese Site bereits 3× analysiert'. P31 — llm_cascade.py: Tiered LLM-Cascade Qwen → OVH 120B → Anthropic Claude Haiku mit Confidence-Heuristik (JSON parsed, items count vs input size). Valkey-Cache (redis://) mit 7-Tage-TTL plus In-Process- Fallback. Wenn Tier-1 unter Confidence-Threshold → Tier-2, dann Tier-3. Reduziert Lauf-Zeit drastisch bei Re-Runs. P80 v2 — check_replay.py: replay nutzt jetzt audit_quality_checks mit den Snapshot-Daten. Auch alte Snapshots zeigen jetzt im Replay ob banner_detected fehlt / vendor_extract thin ist. Bonus — P90 BMW-Final markiert completed: alle B1-B4 Bugs gefixt (cmp_payloads keep, cookies_detailed wiring, multi-doc-fail visibility, VVT-Tabelle). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 08:38:08 +02:00
Benjamin Admin	c771d8ecb9	Merge feat/iace-lift-endstop-bridge: OSHA→engine bridge + drift filter	2026-05-22 08:37:34 +02:00
Benjamin Admin	772ff35e8d	feat(iace): bridge OSHA MD library to pattern engine, body-part-specific lift crush hazards ... - M600-M604: lift endstop mitigations (Kriechgeschwindigkeit, Schaltleiste, Mindestabstand, Hold-to-run, Trittblech) — cite OSHA + EN ISO identifiers - HP2100-HP2102: body-part crush patterns for lift family (foot under platform, hand/body against fixed structure, leg between lift and lateral structure), restricted via MachineTypes filter - pattern_machinetype_overrides.go: post-load pass fills MachineTypes on 14 legacy patterns (HP1000 Walzen, HP539 Schweiss, HP545/HP782 Glas, HP756/HP757/HP760 Fahrtreppe, HP1400-1402 CNC, HP045/HP049 Pressen, HP420-422 Conveyor) to prevent drift on Kistenhubgeraet-style projects Why: Kistenhubgeraet re-init exposed two gaps — the abstract "Bremse versagt bei Absenkbewegung" pattern fired but the concrete foot-crush body-part variant was missing, AND ~10 unrelated patterns fired purely because their RequiredTags incidentally aligned. Override map avoids touching 1000+ LOC pattern files that already exceed the soft cap. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 08:37:24 +02:00
Benjamin Admin	8cbb513e2c	feat(audit): Phase 1 Quick-Wins (P81 + P85 + P70 + P83) + TCF DELETE/INSERT-Fix ... P81 — tests/fixtures/golden_truth/vw_de.json: GT-Fixture mit must_find_cookies (47 VW-Cookies) + expected_vendors (Google, Adobe, Trade Desk, ...). Basis fuer kuenftige Regression-Tests. P85 — banner_screenshot_block.py + consent_scanner.py + main.py: consent-tester macht beim Banner-Detect einen base64-PNG-Screenshot (< 1.5MB). Backend rendert ihn als <img src="data:..."> direkt nach dem GF-1-Pager. Visueller Beweis 'so sah das Banner aus' fuer Dispute mit Marketing/DSB. P70 — rag_provenance.py: classify_finding_provenance() klassifiziert ein Finding als 'rag' (Norm + Quelle), 'mixed' (Norm ohne Quelle) oder 'heuristic' (eigene Interpretation). provenance_badge_html() rendert kleine Badges (✓ RAG / NORM / ⚠ HEURISTIK). Modul ist generisch, kann bei jedem Finding-Renderer einklinkt werden. P83 — scripts/check-rebuild-needed.sh: Prueft ob die im Container deployten BUILD_SHA mit local HEAD uebereinstimmen. Bei Mismatch exit 1 mit 'REBUILD REQUIRED'-Hinweis. Verhindert das 'alter Code im Container'-Problem das uns mehrfach erwischt hat (Frontend-Tabs sichtbar, Backend ohne neuen Service). TCF-Fix — tcf_vendor_authority.py: cookie_library hat keinen UNIQUE-Index auf cookie_name → ON CONFLICT war unmoeglich. Loesung: vor Insert DELETE WHERE source_name='iab_tcf_v2'. Idempotent. + per-Vendor-Commit damit ein Fail die naechsten nicht blockt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 08:24:46 +02:00
Benjamin Admin	6c35bcf116	fix(tcf): per-vendor commit damit ein Fail die naechsten Inserts nicht blockt	2026-05-22 07:54:22 +02:00
Benjamin Admin	19d4b12e07	fix(tcf): Schema-Mapping fuer NOT NULL constraints (domain_pattern, source_name)	2026-05-22 00:32:54 +02:00
Benjamin Admin	2e87b74749	feat(audit): P103+P104+P105 Defeat-Device-Heuristik fuer Cookies ... Drei zusammenhaengende Stufen 'Cookie-Verhalten ist anders als deklariert' — analog zum VW-Diesel-Skandal-Pattern (Pruefstand vs Realbetrieb). P103 (Stufe 3) — cookie_value_entropy.py: Klassifiziert Cookie-Werte als flag/short_id/long_token/uuid/hash/json_blob via Shannon-Entropy + Regex-Patterns. Wenn ein als 'essential' deklarierter Cookie einen 64-char-Base64-Wert hat → MEDIUM-Finding 'Defeat-Device-Heuristik'. P104 (Stufe 4) — cookie_network_tracer.py: Vergleicht Cookie-Domain mit Site-Hauptdomain + bekannten Tracker-Vendoren (50 Domains gemapped: doubleclick.net, facebook.com, demdex.net, omtrdc.net, adsrvr.org, hotjar.com, ...). Wenn ein als 'essential' deklariertes Cookie von externer Tracker-Domain gesetzt wird → HIGH. Drittland-Cookies werden als 'DRITTLAND US/CN/...' markiert (Schrems-II-Folge). P105 (Stufe 5) — tcf_vendor_authority.py: Ingest-Endpoint POST /api/compliance/agent/admin/tcf-ingest holt die IAB TCF v2 Global Vendor List (vendor-list.consensu.org/v3) und upserted sie in cookie_library mit source='iab_tcf_v2'. cross_reference_with_tcf fuzzy-matched cmp_vendors gegen die TCF-Liste — wenn Vendor in TCF als Marketing gefuehrt aber Site sagt 'Funktional' → HIGH (externe Authority widerspricht der Deklaration). Alle drei rendern eigene Mail-Bloecke im Bereich Cookies (nach cookie_audit_html, vor library_mismatch_html). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-22 00:24:07 +02:00
Benjamin Admin	94233b7c66	feat(iace): LLM gap-review (Task #7+#8) + tech-file sources appendix (#29) ... Three coupled pieces of work, all landing the same PoC: 1. Backend gap-review endpoint (Task #7) - internal/api/handlers/iace_handler_gap_review.go: POST /projects/:id/llm-gap-review feeds Limits-Form + current hazards + current mitigations to the configured LLM (Qwen / Claude / OpenAI via ProviderRegistry), parses a JSON suggestion list, filter+stamps confidence, falls back to a static checklist when LLM is unavailable. - Adopt step is NOT in this endpoint by design — the user clicks Adopt in the frontend which calls the existing CreateHazard / CreateMitigation handlers so provenance flows through the normal audit trail. 2. Frontend modal + button (Task #8) - app/sdk/iace/[projectId]/hazards/_components/LLMGapReviewModal.tsx: reusable modal that POSTs the gap-review endpoint, renders suggestions with Adopt/Reject UX, shows confidence + norm refs, source-stamp llm_gap_review vs fallback_static. - hazards/page.tsx: indigo "KI-Gap-Review" button next to the existing "Eigene Gefaehrdung" button + modal mount. 3. Tech-File sources appendix (Task #29 — Stufe 4) - internal/iace/document_export_sources.go: new pdfSourcesAppendix method appended to ExportPDF. Groups cited norms by license rule (R1 OSHA/EU-Recht / R3 BreakPilot patterns / R3 DIN-EN-ISO identifier-only) and emits the legally required statement that pauschal Impressum-Hinweise nicht ausreichen. - extractCitedNorms() scans hazard/mitigation text for EN/ISO/IEC/ DIN identifiers in a narrow grammar so prose isn't turned into spurious citations. Bonus refactor: - internal/app/routes.go reached the 500-LOC hard cap when the new llm-gap-review route was added. Extracted registerIACERoutes into routes_iace.go (136 LOC). Same wiring, no behaviour change. Three of the four Attribution-Renderer stages (1, 2, 4) now produce real output. Stufe 3 ships as <SourceBadge> + <LicenseModuleBanner> already (commits dfac940 + b9e3eea earlier in this branch). The PoC is intentionally conservative: every LLM-Suggestion stays unverbindlich until a human clicks Adopt, and Adopt goes through the existing normal CreateHazard/CreateMitigation flow (not yet wired in this commit — separate iteration). The endpoint, modal and provenance chain are in place for the next iteration to wire Adopt → write path.	2026-05-22 00:21:49 +02:00
Benjamin Admin	6263462ba3	feat(frontend): Tab-Layout für Audit-Ergebnisse + cookie_audit in API ... ResultsTabsView.tsx — neue Komponente mit 7 Tabs: 1. Übersicht (KPIs: Docs, Findings, Vendors, Score) 2. Cookies & VVT (3-Quellen-Compliance-Vergleich + undokumentiert/compliant/nicht-geladen + deduplizierte Vendor-Tabelle) 3. Datenschutzerklärung (DSE-Findings via ChecklistView) 4. Impressum 5. AGB / Widerruf (zwei Sections in einem Tab) 6. Cookie-Banner (Verstoesse + Phasen-KPIs) 7. Mail-Vorschau (PDF-Download-Link) Sticky Tab-Header oben, Content scrollt darunter. Lange Scroll-Mail ist damit verschwunden. DocCheckTab nutzt ResultsTabsView statt der alten Inline-ChecklistView. Backend liefert jetzt cookie_audit-dict in der Response (zusaetzlich zu cmp_vendors + banner_result) damit das Cookie-Tab die 3 Listen (undokumentiert / compliant / nicht-geladen) rendern kann. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 23:44:36 +02:00
Benjamin Admin	eb48c5bd1e	feat(iace): OSHA minimum-distance library — Task #18 ... Verbatim OSHA 29 CFR 1910 Subpart O values anchored as the rechtssicher zitierbare Werte-Basis for the IACE engine. Per strategy discussion (2026-05-20) US Federal Code is the only public-domain corpus we can reproduce wholesale; DIN/EN values stay identifier-only. Coverage in this initial batch: - MD_OSHA_O10_R1, MD_OSHA_O10_R4 (Table O-10 rows 1 + 4 — point of operation guard distance vs max opening width) - MD_OSHA_212_FAN (§1910.212(a)(5) fan-blade guards: 1/2 in) - MD_OSHA_217_PSDI (§1910.217 hand-speed constant 63 in/s for presence-sensing-device-initiation and two-hand-trip distances) Each entry carries four parallel value sets: - OriginalValue/Min/Max in source unit (verbatim, R1) - ExactMM via deterministic conversion (mathematics, no copyright) - RecommendedMM with safe-side rounding documented in RoundingNote - EUNormHints — identifier-only references to EN ISO 13857, EN 13855, EN 349 with a human-curated DINComparisonNote (qualitative judgement, not a copy) Open follow-ups (separate iterations): - Full Table O-10 (rows 2-10) — same shape - §1910.219 mechanical power-transmission distances - Cross-reference IACE patterns to MD_OSHA_* identifiers so the Suppression Engine surfaces concrete metric values in mitigation suggestions - Frontend integration: <MinimumDistanceCard> for each measure	2026-05-21 23:43:51 +02:00
Benjamin Admin	081e4f057a	feat(audit): Cookie-Compliance-Audit (3-Quellen-Vergleich) + Vendor-Dedup + Block-Parser ... ZENTRALER USP: cookie_compliance_audit.py vergleicht 3 Quellen * DEKLARIERT in Cookie-Richtlinie (parse_cookie_table + parse_flat) * TATSAECHLICH im Browser geladen (banner_result.phases.after_accept) * LIBRARY-Metadaten (cookie_library lookup) Liefert 3 Listen mit Compliance-Verdict: * compliant (deklariert UND geladen) — gruener Block * undeclared_in_browser (geladen NICHT deklariert) — ROTER HIGH-Block → Art. 13(1)(c) DSGVO + § 25 TDDDG Verstoss * declared_not_loaded (deklariert NICHT geladen) — gelber Hinweis → Tabelle moeglicherweise veraltet parse_cookie_table erweitert um Block-Format (5 Zeilen pro Cookie wie beim User-Copy aus VW). Findet 35+ Cookies aus Copy-Paste statt 0. vendor_normalizer.py: 50+ Aliases (Google-Familie, Adobe-Familie, Trade Desk, AdForm, ...) + Garbage-Filter (URLs, leere Strings, 'click to select', 'Mehrere OEMs'). Mergt cookies-Listen beim Dedup. _guess_vendor erweitert: Adobe-Familie (s_ecid/AMCV/demdex/mbox/...), Trade Desk (TDID/TDCPM/TTDOptOut), AdForm (uid/cid/otsid), Salesforce LiveAgent, etracker, Akamai, EDAA. audit_quality_checks: vendor-thin-Threshold jetzt dynamisch nach Cookie-Doc-Wörter (3k→10 / 6k→20 / 10k→30 / 15k+→40). VW-Test-Fixture: tests/fixtures/cookie_gt/vw_cookie_richtlinie.txt (36-Cookie-Sample fuer Regression-Tests). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 23:36:45 +02:00
Benjamin Admin	16fd406c1a	feat(iace): secondary-harm chain model + AllPatterns drift fix ... Task #17 — Folgegefahren-Modell as Vorbereitungs-Commit (no DB schema change yet; persistence via separate [migration-approved] commit). New: - secondary_harms.go: SecondaryHarm struct + six canonical categories (consumer_safety, product_liability, food_safety, environmental, reputation, financial) with DE labels. - hazard_pattern_types.go: HazardPattern extended with optional SecondaryHarms field — pattern library can now attach consequential- damage chains. - hazard_patterns_secondary_demo.go: two worked examples - HP2000 Glasbruch carbonated bottling (the "Cola splitter" scenario from the IACE strategy discussion) with consumer_safety + food_safety + reputation chains - HP2001 Pharma fill-finish cross-contamination with consumer_safety + product_liability under AMG §84 Bonus fix: - compliance_crossover.go AllPatterns() was a duplicate enumeration that silently drifted from collectAllPatterns() in pattern_registry.go. Pre-fix: 1058 patterns visible. Post-fix: 1213 patterns. The 155 invisible patterns included CRA, ISO12100 gaps, robot-cell, CNC extended, VDMA, textile-agri, GT-bremse — anything added after the original AllPatterns was authored. Audit-Suite (cmd/iace-audit) now sees the full set. Next steps for full secondary-harm rollout: - DB migration: hazards table + secondary_harms array column - API: surface secondary_harms in /projects/:id/hazards response - Frontend: collapsible Folgegefahren-Panel in HazardTable	2026-05-21 23:36:26 +02:00
Benjamin Admin	c5c168592b	feat(licenses): Task #25 — SDK module attribution rollout (11 modules) ... Per project_sdk_module_attribution_matrix.md the Stufe-3 rollout is prioritized by audit visibility. This batch covers Schritte 2-9 in one sweep: New reusable component: components/sdk/LicenseModuleBanner.tsx — single-line license banner placed at the top of an SDK module page. Renders rule pill (R1/R2/R3), source label, descriptor and link to /sdk/licenses. Replaces the copy-paste banner blocks I inlined in the earlier modules. Integration points (per cluster): Cluster B (DSGVO/EU-Recht, R1): - vvt: existing "Vorlage" pill upgraded with R1 marker + tooltip explaining Bundeslaender-DSGVO provenance - dsfa: inline R1 banner citing DSGVO Art. 35 Cluster C (EU AI Act / CRA, R1): - ai-act: inline R1 banner citing EU 2024/1689 - cra: inline R1 banner citing EU 2024/2847 + ENISA-Guidance Cluster D (Mix R2/R3): - isms: R3 banner + ISO/IEC 27001 reference disclaimer - security-backlog: R2 banner with OWASP CC-BY-SA attribution Cluster A (Eigenwerk, R3): - tom-generator: R1 source (DSGVO Art. 32) + R3 own-work disclaimer - audit-checklist: R3 banner for own audit methodology - document-generator: own templates R3 + cited rights R1 Cluster E (Direct controls listing): - catalog-manager: System/User tag upgraded with rule classification - iace hazards: pattern_id pill upgraded with R3 + tooltip explaining BreakPilot Pattern-Engine provenance The 11-module sweep brings audit transparency to the modules a paying customer encounters most often. Stufe 3 of the attribution renderer is now actually visible across the platform — previously it shipped only the reusable <SourceBadge> component without integration points. Pre-existing TS errors (drafting-engine constraint-enforcer, dsfa types tests) untouched — not in scope for this licensing rollout.	2026-05-21 23:16:09 +02:00