Files
breakpilot-compliance/backend-compliance/compliance/services/cookie_csv_exporter.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

141 lines
5.3 KiB
Python

"""Vollständiger Cookie-CSV-Export.
Eine Zeile pro deklariertem Cookie, mit:
- Name + Vendor
- Was die Site deklariert (category, lifetime, purpose, country)
- Was die 3-Layer-KB sagt (actual_category, typical_lifetime,
vendor_country, kb_source)
- Alle Findings als FIND_* boolean-Spalten
- recommended_action (1-Zeiler aus dem schwersten Finding)
Output: bytes (UTF-8 CSV mit BOM für Excel-Kompatibilität).
"""
from __future__ import annotations
import csv
import io
import logging
from .cookie_library_lookup import lookup as kb_lookup
logger = logging.getLogger(__name__)
COLUMNS = [
"cookie_name", "vendor_declared", "kb_vendor", "kb_layer",
"category_declared", "category_kb",
"lifetime_declared", "lifetime_kb_typical",
"purpose_declared",
"country_declared", "country_kb",
"optout_kb",
"FIND_marketing_as_essential",
"FIND_lifetime_too_long_for_essential",
"FIND_pseudo_purpose",
"FIND_missing_country",
"FIND_missing_retention",
"FIND_unknown_vendor",
"FIND_duplicate_vendor",
"FIND_third_country_no_mechanism",
"recommended_action",
"source_in_audit",
]
def _action_for(findings_for_cookie: list[dict]) -> str:
"""Pick the action from the highest-severity finding."""
if not findings_for_cookie:
return ""
priority = {"HIGH": 0, "MEDIUM": 1, "LOW": 2, "INFO": 3}
sorted_f = sorted(
findings_for_cookie,
key=lambda f: priority.get((f.get("severity") or "").upper(), 9),
)
return sorted_f[0].get("recommended_action", "") or ""
def build_cookie_csv(state: dict) -> bytes:
"""Iterate cmp_vendors + cookies, write CSV bytes."""
cmp_vendors = state.get("cmp_vendors") or []
coherence_findings = state.get("cookie_coherence_findings") or []
# Index findings by cookie_name for fast lookup
by_cookie: dict[str, list[dict]] = {}
duplicate_vendors: set[str] = set()
for f in coherence_findings:
cname = f.get("cookie_name")
if cname:
by_cookie.setdefault(cname, []).append(f)
if f.get("check_id") == "COOKIE-COHERENCE-DUP-001":
duplicate_vendors.add((f.get("vendor") or "").lower())
buf = io.StringIO()
# Excel-compatible BOM so Umlauts render correctly
buf.write("")
writer = csv.writer(buf, delimiter=";", quoting=csv.QUOTE_MINIMAL)
writer.writerow(COLUMNS)
written = 0
for v in cmp_vendors:
vendor_name = (v.get("name") or "").strip()
vendor_src = (v.get("source") or "").strip()
vendor_country = (v.get("country") or "").strip()
vendor_category = (v.get("category") or "").strip()
for c in (v.get("cookies") or []):
cname = (c.get("name") or "").strip()
if not cname:
continue
declared_cat = (c.get("category") or vendor_category).strip()
declared_purpose = (c.get("purpose") or v.get("purpose") or "").strip()
declared_lifetime = (c.get("duration") or c.get("persistence")
or c.get("expiry") or "").strip()
kb = kb_lookup(cname)
kb_vendor = (kb.get("vendor_name") or kb.get("vendor") or "")
kb_layer = kb.get("_layer") or "unknown"
kb_category = (kb.get("actual_category")
or kb.get("consensus_category") or "")
kb_country = (kb.get("vendor_country") or "")
kb_optout = (kb.get("vendor_opt_out_url") or "")
kb_typical_lifetime = (kb.get("typical_lifetime") or "")
if not kb_typical_lifetime and kb.get("typical_max_age_seconds"):
secs = kb["typical_max_age_seconds"]
if secs:
days = secs / 86400.0
kb_typical_lifetime = (
f"{int(days)} Tage" if days >= 1
else f"{int(secs / 3600)} h" if secs >= 3600
else f"{int(secs / 60)} min"
)
f_cookie = by_cookie.get(cname) or []
check_ids = {fp.get("check_id") for fp in f_cookie}
row = [
cname, vendor_name, kb_vendor, kb_layer,
declared_cat, kb_category,
declared_lifetime, kb_typical_lifetime,
declared_purpose[:300],
vendor_country, kb_country,
kb_optout,
"1" if "COOKIE-COHERENCE-MAE-001" in check_ids else "",
"1" if "COOKIE-COHERENCE-LIFE-001" in check_ids else "",
"1" if "COOKIE-COHERENCE-PURP-001" in check_ids else "",
"1" if "COOKIE-COHERENCE-CTRY-001" in check_ids else "",
"1" if not declared_lifetime else "",
"1" if "COOKIE-COHERENCE-UNK-001" in check_ids else "",
"1" if vendor_name.lower() in duplicate_vendors else "",
"1" if (kb_country
and kb_country.upper() not in
("DE", "EU", "AT", "FR", "NL", "IT", "ES",
"BE", "CH", "IE", "DK", "FI", "SE", "NO")
and not c.get("transfer_mechanism")) else "",
_action_for(f_cookie),
vendor_src,
]
writer.writerow(row)
written += 1
logger.info("cookie-csv export: %d rows", written)
return buf.getvalue().encode("utf-8")