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breakpilot-compliance/backend-compliance/compliance/api/einwilligungen_export_routes.py
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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>
2026-05-18 18:30:08 +02:00

182 lines
6.6 KiB
Python

"""
Consent-Log Export (Borlabs-Parity + DSB-Audit-Anforderung).
Auditors verlangen routinemaessig einen Auszug aller erteilten/
widerrufenen Einwilligungen pro Tenant — heute musste der DSB dafuer
manuell SQL schreiben. Diese Endpunkte liefern CSV + JSON direkt aus
dem Browser.
Endpoints:
GET /einwilligungen/export/consents.csv
GET /einwilligungen/export/consents.json
GET /einwilligungen/export/history.csv — Aenderungs-Historie
"""
from __future__ import annotations
import csv
import io
import json
import logging
from datetime import datetime, timezone
from fastapi import APIRouter, Depends, Header, Query
from fastapi.responses import Response
from sqlalchemy.orm import Session
from classroom_engine.database import get_db
from ..db.einwilligungen_models import (
EinwilligungenConsentDB,
EinwilligungenConsentHistoryDB,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/einwilligungen/export", tags=["einwilligungen-export"])
def _get_tenant(x_tenant_id: str | None = Header(None, alias="X-Tenant-ID")) -> str:
if not x_tenant_id:
from .tenant_utils import get_tenant_id
return get_tenant_id()
return x_tenant_id
def _ts() -> str:
return datetime.now(timezone.utc).strftime("%Y%m%d-%H%M%S")
def _consent_rows(consents: list[EinwilligungenConsentDB]) -> list[dict]:
return [
{
"consent_id": str(c.id),
"user_id": c.user_id or "",
"data_point_id": c.data_point_id or "",
"granted": "yes" if c.granted else "no",
"purpose": c.purpose or "",
"consent_version": c.consent_version or "",
"ip_address": c.ip_address or "",
"user_agent": (c.user_agent or "")[:200],
"source": c.source or "",
"created_at": c.created_at.isoformat() if c.created_at else "",
"updated_at": c.updated_at.isoformat() if c.updated_at else "",
"revoked_at": c.revoked_at.isoformat() if getattr(c, "revoked_at", None) else "",
}
for c in consents
]
def _history_rows(entries: list[EinwilligungenConsentHistoryDB]) -> list[dict]:
return [
{
"id": str(e.id),
"consent_id": str(e.consent_id),
"action": e.action or "",
"consent_version": e.consent_version or "",
"ip_address": e.ip_address or "",
"user_agent": (e.user_agent or "")[:200],
"source": e.source or "",
"created_at": e.created_at.isoformat() if e.created_at else "",
}
for e in entries
]
def _csv_response(rows: list[dict], filename: str) -> Response:
if not rows:
return Response(content="", media_type="text/csv",
headers={"Content-Disposition": f"attachment; filename={filename}"})
buf = io.StringIO()
w = csv.DictWriter(buf, fieldnames=list(rows[0].keys()), quoting=csv.QUOTE_ALL)
w.writeheader()
w.writerows(rows)
return Response(content=buf.getvalue(), media_type="text/csv; charset=utf-8",
headers={"Content-Disposition": f"attachment; filename={filename}"})
def _json_response(payload: dict, filename: str) -> Response:
body = json.dumps(payload, ensure_ascii=False, indent=2, default=str)
return Response(content=body, media_type="application/json; charset=utf-8",
headers={"Content-Disposition": f"attachment; filename={filename}"})
@router.get("/consents.csv")
async def export_consents_csv(
user_id: str | None = Query(None, description="Filter by single user"),
granted: bool | None = Query(None),
since: str | None = Query(None, description="ISO timestamp"),
tenant_id: str = Depends(_get_tenant),
db: Session = Depends(get_db),
) -> Response:
"""Download all consent records of this tenant as CSV (auditor-ready)."""
q = db.query(EinwilligungenConsentDB).filter(
EinwilligungenConsentDB.tenant_id == tenant_id,
)
if user_id:
q = q.filter(EinwilligungenConsentDB.user_id == user_id)
if granted is not None:
q = q.filter(EinwilligungenConsentDB.granted == granted)
if since:
try:
since_dt = datetime.fromisoformat(since.rstrip("Z"))
q = q.filter(EinwilligungenConsentDB.created_at >= since_dt)
except Exception:
pass
rows = _consent_rows(q.order_by(EinwilligungenConsentDB.created_at.desc()).all())
return _csv_response(rows, f"consents_{tenant_id[:8]}_{_ts()}.csv")
@router.get("/consents.json")
async def export_consents_json(
user_id: str | None = Query(None),
granted: bool | None = Query(None),
since: str | None = Query(None),
tenant_id: str = Depends(_get_tenant),
db: Session = Depends(get_db),
) -> Response:
"""Same data as the CSV endpoint but JSON-shaped for further processing."""
q = db.query(EinwilligungenConsentDB).filter(
EinwilligungenConsentDB.tenant_id == tenant_id,
)
if user_id:
q = q.filter(EinwilligungenConsentDB.user_id == user_id)
if granted is not None:
q = q.filter(EinwilligungenConsentDB.granted == granted)
if since:
try:
since_dt = datetime.fromisoformat(since.rstrip("Z"))
q = q.filter(EinwilligungenConsentDB.created_at >= since_dt)
except Exception:
pass
rows = _consent_rows(q.order_by(EinwilligungenConsentDB.created_at.desc()).all())
payload = {
"tenant_id": tenant_id,
"exported_at": datetime.now(timezone.utc).isoformat(),
"filter": {"user_id": user_id, "granted": granted, "since": since},
"count": len(rows),
"consents": rows,
}
return _json_response(payload, f"consents_{tenant_id[:8]}_{_ts()}.json")
@router.get("/history.csv")
async def export_history_csv(
consent_id: str | None = Query(None, description="Limit to one consent"),
since: str | None = Query(None),
tenant_id: str = Depends(_get_tenant),
db: Session = Depends(get_db),
) -> Response:
"""Download the consent-change history (Art. 7(1) Nachweispflicht)."""
q = db.query(EinwilligungenConsentHistoryDB).filter(
EinwilligungenConsentHistoryDB.tenant_id == tenant_id,
)
if consent_id:
q = q.filter(EinwilligungenConsentHistoryDB.consent_id == consent_id)
if since:
try:
since_dt = datetime.fromisoformat(since.rstrip("Z"))
q = q.filter(EinwilligungenConsentHistoryDB.created_at >= since_dt)
except Exception:
pass
rows = _history_rows(q.order_by(EinwilligungenConsentHistoryDB.created_at.asc()).all())
return _csv_response(rows, f"consent-history_{tenant_id[:8]}_{_ts()}.csv")