Files
breakpilot-compliance/backend-compliance/compliance/api/agent_check/_b19_wiring.py
T
Benjamin Admin c908fcd5eb feat(b19): Cookie-Coherence — 3-Layer-Lookup + Vendor-Karten + CSV
Adressiert das BMW-Beispiel (740 Cookies, Salesforce als "essential"
mit 1-Jahres-Lifetime, Pseudo-Zwecke wie "Siehe dazugehörige
Datenverarbeitung"). User-Konzept "Regulation als Code".

Step 1 — cookie_library_lookup.py (3 Layer):
  1. Override = cookie_knowledge_db.py + extended (74) für
     Schrems-II / EUGH / EU-Alternative — BreakPilot-juristische-IP.
  2. Truth-Base = compliance.cookie_library (2287 aus Open Cookie
     Database, CC0). actual_category als Wahrheit.
  3. Auto-Learning = cookie_behavior_audits — Cross-Site-Konsens
     wenn ≥3 Sites denselben Cookie melden.

  Match: exact > prefix (mit Separator-Check) > wildcard. Kurze
  Library-Namen ("c", "ID") brauchen exact-match — verhindert
  False-Positive auf "completely_unknown". Trailing-Underscore
  in OCD ("guest_uuid_essential_") wird als implicit-wildcard
  interpretiert.

Step 2 — cookie_coherence_check.py (B19, 6 Finding-Typen):
  - MARKETING_AS_ESSENTIAL (HIGH): KB sagt actual=marketing, Site
    deklariert essential/erforderlich → Einwilligung wird umgangen
  - LIFETIME_TOO_LONG_FOR_ESSENTIAL (MED): essential + >90d
  - PSEUDO_PURPOSE (LOW): "Siehe dazugehörige Datenverarbeitung"
    / <4 Wörter (suppressed wenn Vendor-Purpose substantial ist)
  - MISSING_COUNTRY (LOW): vendor_country leer trotz KB-Hit
  - UNKNOWN_VENDOR (LOW): nicht in KB → Auto-Learning-Kandidat
  - DUPLICATE_VENDOR (MED): selber Vendor in N Kategorien =
    Stack-Aufspaltung um Marketing unter "essential" zu schmuggeln

  Jedes Finding mit recommended_action ("Cookie X aus 'erforderlich'
  raus und in 'Marketing' setzen").

Step 3 — cookie_observation_logger.py:
  Loggt nach jedem Audit alle (cookie, site, declared_purpose) in
  compliance.cookie_behavior_audits → Basis für Cross-Site-Konsens
  in Layer 3.

Step 4 — cookie_csv_exporter.py:
  cookies-full-{check_id}.csv mit 21 Spalten (Name, Vendor decl/KB,
  Cat decl/KB, Lifetime decl/KB, Country, Opt-Out, 8x FIND_* flags,
  recommended_action). UTF-8 BOM für Excel.
  ZIP-Attachment: erweitert audit_walk_zip_builder um extra_files=
  parameter; phase_e ruft mit cookies-full-...csv auf.

Step 5 — mail_render_v2/_vendor_cards.py:
  Statt 740 Cookie-Rows: Aggregation pro Vendor mit Cookie-Count +
  Issue-Count + 1-2 Beispiel-Cookies + Issue-Type-Tags. Top 30
  Vendoren in der Mail, Rest nur in CSV. Sortiert nach Issue-Score.

Step 6 — render_info_box_rechtsrahmen():
  Generic Header-Info-Box mit Art. 13 DSGVO + § 25 TDDDG + Art. 5
  + § 5 UWG + § 30/130 OWiG. Immer angezeigt, kein explicit-
  finding-mapping (User-mündigkeit).

Orchestrator + _compose: run_b19 + render_vendor_cards +
  render_info_box_rechtsrahmen ins V2-Layout.

Tests: 28/28 grün (15 lookup + 13 coherence).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-07 23:48:04 +02:00

101 lines
4.1 KiB
Python

"""B19 wiring — Cookie-Coherence-Check (Salesforce-as-essential)."""
from __future__ import annotations
import html
import logging
from collections import Counter
from compliance.services.cookie_coherence_check import check_cookie_coherence
logger = logging.getLogger(__name__)
def run_b19(state: dict) -> None:
# Step 3 — Auto-Learning: alle deklarierten Cookies dieser Site
# in cookie_behavior_audits loggen (Cross-Site-Konsens-Basis).
try:
from compliance.services.cookie_observation_logger import (
log_observations,
)
stats = log_observations(state)
logger.info("B19 observation-logger: %s", stats)
except Exception as e:
logger.warning("observation-logger skipped: %s", e)
new = check_cookie_coherence(state)
if not new:
return
extras = state.get("extra_findings") or []
extras.extend(new)
state["extra_findings"] = extras
state["cookie_coherence_html"] = _render(new)
state["cookie_coherence_findings"] = new
logger.info("B19 cookie-coherence: %d finding(s)", len(new))
def _render(findings: list[dict]) -> str:
# Aggregate per type for the summary chip
by_type = Counter(f.get("check_id") for f in findings)
severity_color = {
"HIGH": "#dc2626", "MEDIUM": "#f59e0b", "LOW": "#64748b",
}
# Show only the top 12 cards in the mail; rest goes to CSV
cards = []
for f in findings[:12]:
sev = (f.get("severity") or "").upper()
color = severity_color.get(sev, "#475569")
meta = ""
if f.get("cookie_name"):
meta += (
"<div style='font-size:12px;color:#475569;margin-top:6px;'>"
f"<em>Cookie: <code>{html.escape(f['cookie_name'])}</code>"
f" · Vendor: {html.escape(f.get('vendor') or '?')}</em>"
"</div>"
)
if f.get("declared_category"):
meta += (
"<div style='font-size:11px;color:#7f1d1d;margin-top:3px;'>"
f"declared: <code>{html.escape(f['declared_category'])}</code>"
+ (f" · actual (KB): <code>{html.escape(f['actual_category'])}</code>"
if f.get("actual_category") else "")
+ "</div>"
)
cards.append(
f"<div style='margin:12px 0;padding:14px;background:#fff;"
f"border-left:3px solid {color};border-radius:4px;'>"
f"<div style='font-weight:600;color:{color};font-size:14px;'>"
f"{sev} · {html.escape(f.get('check_id') or '')}</div>"
f"<div style='font-size:14px;margin-top:4px;'>"
f"<strong>{html.escape(f.get('title') or '')}</strong></div>"
f"<div style='font-size:12px;color:#64748b;margin-top:2px;'>"
f"{html.escape(f.get('norm') or '')}</div>"
f"{meta}"
f"<div style='font-size:12px;color:#475569;margin-top:6px;'>"
f"<em>{html.escape(f.get('evidence') or '')}</em></div>"
f"<div style='font-size:13px;margin-top:8px;background:#dcfce7;"
f"padding:8px 10px;border-radius:4px;'>"
f"<strong>→ Abstellung:</strong> "
f"{html.escape(f.get('recommended_action') or '')}</div>"
"</div>"
)
type_summary = " · ".join(
f"{k.split('-')[-1]}: {v}" for k, v in by_type.most_common()
)
return (
"<div style='margin:24px 0;padding:16px;border-left:4px solid #dc2626;"
"background:#fef2f2;border-radius:4px;'>"
"<h2 style='margin:0 0 8px;color:#7f1d1d;font-size:16px;'>"
f"🍪 Cookie-Kohärenz ({len(findings)} Befunde)"
"</h2>"
f"<p style='margin:0 0 8px;font-size:12px;color:#475569;'>"
f"Vergleich Site-Deklaration vs Open Cookie Database (2287) + "
f"BreakPilot-KB.<br><strong>Verteilung:</strong> {type_summary}</p>"
+ "".join(cards)
+ (f"<p style='font-size:12px;color:#64748b;margin-top:8px;'>"
f"<em>… und {len(findings)-12} weitere — vollständige Liste "
f"in <code>cookies-full.csv</code> im ZIP-Anhang.</em></p>"
if len(findings) > 12 else "")
+ "</div>"
)