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>
This commit is contained in:
Benjamin Admin
@@ -25,7 +25,8 @@ FROM python:3.12-slim-bookworm
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WORKDIR /app
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# Install runtime dependencies for WeasyPrint (PDF generation)
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# Install runtime dependencies for WeasyPrint (PDF generation) + Tesseract OCR
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# (Cookie-Richtlinie Screenshot-Extraktion via cookie_screenshot_ocr.py).
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libpango-1.0-0 \
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libpangocairo-1.0-0 \
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@@ -33,6 +34,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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libffi-dev \
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shared-mime-info \
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curl \
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tesseract-ocr \
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tesseract-ocr-deu \
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tesseract-ocr-eng \
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&& rm -rf /var/lib/apt/lists/*
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# Copy virtual environment from builder
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@@ -948,6 +948,83 @@ async def _run_compliance_check(check_id: str, req: ComplianceCheckRequest):
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except Exception as e:
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logger.warning("crawled-table-parse failed: %s", e)
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# C — Screenshot + Vision-OCR der Cookie-Richtlinie.
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# Liefert deterministisch die echte Cookie-Tabelle aus dem
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# gerenderten DOM (Banner akzeptiert, Accordions ausgeklappt,
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# Timestamp eingebrannt). Komplementaer zu parse_flat: wenn
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# parse_flat versagt (textContent ohne Whitespace, ungewohntes
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# Spalten-Layout, andere Sprache), greift die Vision-Extraktion
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# immer noch zu — sie liest die Tabelle wie ein Mensch.
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cookie_url_for_shot = ""
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for _e in doc_entries:
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if _e.get("doc_type") == "cookie" and _e.get("url"):
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cookie_url_for_shot = _e["url"]; break
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cookie_evidence_screenshot: dict | None = None
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if cookie_url_for_shot:
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try:
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from compliance.services.cookie_screenshot_ocr import (
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capture_cookie_screenshot,
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extract_cookies_via_vision,
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cookies_to_vendor_records,
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)
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from compliance.services.cookies_table_parser import (
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_guess_vendor as _gv,
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)
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_update(check_id,
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"Cookie-Tabelle wird fotografiert + OCR-extrahiert...",
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93)
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cap = await capture_cookie_screenshot(
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cookie_url_for_shot, check_id=check_id,
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)
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if cap.get("png_b64"):
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cookie_evidence_screenshot = cap # fuer ZIP-Anhang
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vis_cookies = await extract_cookies_via_vision(
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cap["png_b64"],
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)
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if vis_cookies:
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vis_vendors = cookies_to_vendor_records(
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vis_cookies, guess_vendor_fn=_gv,
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)
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existing = {
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(v.get("name") or "").strip().lower()
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for v in cmp_vendors
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}
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added_v = 0
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for v in vis_vendors:
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nm = (v.get("name") or "").strip()
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if not nm:
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continue
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if nm.lower() in existing:
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# merge cookies into existing record
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for ex in cmp_vendors:
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if (ex.get("name") or "").strip().lower() == nm.lower():
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ex_names = {
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(c.get("name") or "").lower()
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for c in (ex.get("cookies") or [])
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}
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for c in (v.get("cookies") or []):
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if c["name"].lower() not in ex_names:
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ex.setdefault("cookies", []).append(c)
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ex_names.add(c["name"].lower())
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cur_src = ex.get("source", "")
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if "vision_ocr" not in cur_src:
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ex["source"] = (cur_src + ";vision_ocr").strip(";")
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break
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continue
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cmp_vendors.append(v)
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existing.add(nm.lower())
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added_v += 1
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logger.info(
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"C Vision-OCR: +%d Vendors / %d Cookies "
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"(total: %d)",
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added_v, len(vis_cookies), len(cmp_vendors),
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)
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except Exception as e:
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logger.warning(
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"Vision-OCR pipeline failed: %s (%s)",
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str(e) or "(no msg)", type(e).__name__,
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)
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# User-pasted Cookie-Tabelle (deterministisch, kein LLM):
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# die hat IMMER Vorrang weil 100% genau.
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if pasted_table_vendors:
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@@ -0,0 +1,496 @@
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"""Screenshot-basierte Cookie-Extraktion mit Tesseract-OCR.
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Pipeline:
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1. consent-tester macht Full-Page-Screenshot (Banner akzeptiert,
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Accordions ausgeklappt, Timestamp eingebrannt) → PNG b64
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2. Tesseract OCR (lang=deu, psm=4) → Rohtext mit Tabellen-Reihen
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3. _parse_ocr_cookie_table(text) → strukturierte Liste {name, category,
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purpose, duration, type, vendor}
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Funktioniert site-unabhaengig — egal welches CMP, egal welche Sprache
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(Tesseract kann viele), egal welches DOM-Layout. Timestamp im Bild =
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Beweis was wir zum Scan-Zeitpunkt wirklich gesehen haben.
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"""
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from __future__ import annotations
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import base64 as _b64
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import json
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import logging
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import os
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import re
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import httpx
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logger = logging.getLogger(__name__)
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CONSENT_TESTER_URL = os.getenv(
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"CONSENT_TESTER_URL", "http://bp-compliance-consent-tester:8094"
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)
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VISION_MODEL = os.getenv("COOKIE_VISION_MODEL", "qwen2.5vl:32b")
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OLLAMA_URL = os.getenv("OLLAMA_URL", "http://host.docker.internal:11434")
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def _slice_screenshot(png_bytes: bytes, slice_h: int = 1500,
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max_slices: int = 25) -> list[str]:
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"""Cut a tall full-page screenshot into 1280×slice_h slices and return
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each as base64-encoded PNG. Vision models choke on 25k-tall images
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(resampled down to ~1024 → unreadable text); slicing keeps DPI."""
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if not png_bytes:
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return []
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try:
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from PIL import Image
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from io import BytesIO
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except ImportError:
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return []
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img = Image.open(BytesIO(png_bytes)).convert("RGB")
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w, h = img.size
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n = min((h + slice_h - 1) // slice_h, max_slices)
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out: list[str] = []
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for i in range(n):
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top = i * slice_h
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bot = min((i + 1) * slice_h, h)
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chunk = img.crop((0, top, w, bot))
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buf = BytesIO()
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chunk.save(buf, format="PNG", optimize=True)
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out.append(_b64.b64encode(buf.getvalue()).decode("ascii"))
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return out
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async def _call_vision_on_slice(b64_png: str, timeout_s: float = 240.0) -> str:
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"""Ask the vision model to dump all cookie-row text from one slice
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as raw text (NOT JSON). We parse it downstream with parse_flat regex."""
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prompt = (
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"Du siehst einen Bildausschnitt einer Cookie-Richtlinien-Tabelle. "
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"Liste ALLE Tabellen-Zeilen wortwoertlich auf, eine Zeile pro "
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"Cookie. Jede Zeile soll enthalten: Cookie-Name, Kategorie, "
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"Zweck, Speicherdauer, Art (Permanent/Session). "
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"Format: '<Name> | <Kategorie> | <Zweck> | <Dauer> | <Art>'. "
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"KEINE Cookies erfinden, nur was im Bild steht. Nur die Tabellen-"
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"Zeilen, keine Erklaerungen."
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)
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payload = {
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"model": VISION_MODEL,
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"stream": False,
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"messages": [{
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"role": "user", "content": prompt, "images": [b64_png],
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}],
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"options": {"temperature": 0.05, "num_predict": 4000},
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}
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try:
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async with httpx.AsyncClient(timeout=timeout_s) as c:
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r = await c.post(f"{OLLAMA_URL.rstrip('/')}/api/chat", json=payload)
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r.raise_for_status()
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return (r.json().get("message") or {}).get("content", "") or ""
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except Exception as e:
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logger.debug("vision slice failed: %s", e)
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return ""
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async def ocr_screenshot_via_vision_slices(png_bytes: bytes,
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max_slices: int = 20) -> str:
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"""Slice + vision-OCR each slice + concatenate. Returns raw text that
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can be fed to parse_flat_cookie_text."""
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slices = _slice_screenshot(png_bytes, slice_h=1500, max_slices=max_slices)
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if not slices:
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return ""
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logger.info("Vision-slicing: %d slices → vision-OCR (model=%s)",
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len(slices), VISION_MODEL)
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import asyncio as _aio
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# Run slices SEQUENTIALLY: ollama is single-GPU and loading the same
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# model for parallel requests causes OOM + thrashing on Mac Mini.
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parts: list[str] = []
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for i, s in enumerate(slices):
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txt = await _call_vision_on_slice(s)
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if txt:
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parts.append(txt)
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logger.info("Vision-slice %d/%d: %d chars", i + 1, len(slices),
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len(txt))
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full = "\n".join(parts)
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logger.info("Vision-OCR slicing total: %d chars from %d slices",
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len(full), len(slices))
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return full
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def ocr_screenshot_via_paddle(png_bytes: bytes) -> str:
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"""Run PaddleOCR over the full-page screenshot, returning the
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concatenated text. Deterministic, no LLM halluzination.
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Splits tall screenshots into 1280x3000 slices so OCR works in chunks
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without OOM on large pages (VW cookie-page is ~25k px tall).
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"""
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if not png_bytes:
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return ""
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try:
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from PIL import Image
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from io import BytesIO
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from paddleocr import PaddleOCR
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except ImportError as e:
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logger.warning("PaddleOCR / PIL not available: %s", e)
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return ""
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try:
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img = Image.open(BytesIO(png_bytes)).convert("RGB")
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except Exception as e:
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logger.warning("PIL open failed: %s", e)
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return ""
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w, h = img.size
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slice_h = 3000
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n_slices = (h + slice_h - 1) // slice_h
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logger.info("PaddleOCR: %dx%d screenshot → %d slices of %d high",
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w, h, n_slices, slice_h)
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# Global OCR instance reused — initial init is ~10s.
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global _PADDLE_OCR
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if "_PADDLE_OCR" not in globals() or _PADDLE_OCR is None:
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try:
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_PADDLE_OCR = PaddleOCR(use_angle_cls=False, lang="german",
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show_log=False)
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except Exception as e:
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logger.warning("PaddleOCR init failed: %s", e)
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return ""
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parts: list[str] = []
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import numpy as np
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for i in range(n_slices):
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top = i * slice_h
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bot = min((i + 1) * slice_h, h)
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crop = img.crop((0, top, w, bot))
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arr = np.array(crop)
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try:
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result = _PADDLE_OCR.ocr(arr, cls=False)
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except Exception as e:
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logger.warning("PaddleOCR slice %d failed: %s", i, e)
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continue
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# PaddleOCR returns list-of-lines where each line is
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# [bbox, (text, conf)] — variable nesting depending on version.
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if not result:
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continue
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for page in result:
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if not page: continue
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for line in page:
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if not line: continue
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try:
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if isinstance(line, list) and len(line) >= 2:
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txt = line[1][0] if isinstance(line[1], (list, tuple)) else str(line[1])
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else:
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txt = str(line)
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if txt: parts.append(txt)
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except Exception:
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continue
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full_text = "\n".join(parts)
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logger.info("PaddleOCR: extracted %d lines / %d chars from %d slices",
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len(parts), len(full_text), n_slices)
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return full_text
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_PADDLE_OCR = None
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# ── Tesseract-based parser ────────────────────────────────────────────
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def ocr_screenshot_via_tesseract(png_bytes: bytes,
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lang: str = "deu",
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psm: int = 4) -> str:
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"""Run Tesseract OCR on a full-page screenshot. Returns normalized text
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where multi-newline paragraphs are collapsed but blank lines preserved
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(helps anchor-based parsing).
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psm=4 means single column of text of variable sizes (cookie-tables).
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"""
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if not png_bytes:
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return ""
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try:
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import pytesseract
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from PIL import Image
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from io import BytesIO
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import re as _re
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except ImportError as e:
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logger.warning("tesseract/PIL not available: %s", e)
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return ""
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try:
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img = Image.open(BytesIO(png_bytes)).convert("RGB")
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raw = pytesseract.image_to_string(img, lang=lang,
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config=f"--psm {psm}")
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# Collapse intra-paragraph newlines so OCR cells flow on one line.
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norm = _re.sub(r"[ \t]+", " ", raw)
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norm = _re.sub(r"\n(?!\s*\n)", " ", norm)
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norm = _re.sub(r"\s{2,}", " ", norm)
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logger.info(
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"Tesseract OCR: %d chars / %d words (image %dx%d)",
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len(norm), len(norm.split()), img.size[0], img.size[1],
|
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)
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return norm
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except Exception as e:
|
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logger.warning("Tesseract OCR failed: %s (%s)",
|
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str(e) or "(no msg)", type(e).__name__)
|
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return ""
|
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|
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|
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# Kategorie-Anchor-Tokens that ALWAYS follow the Cookie-Name in the
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# typical column layout: [NAME] [KATEGORIE] [ZWECK] [DAUER] [ART]
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_CATEGORY_ANCHORS = (
|
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r"Funktionscookie", r"Trackingcookie",
|
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r"Tracking Cookies?", r"Session Cookies?",
|
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r"Funktional", r"Marketing", r"Analytics", r"Necessary",
|
||||
r"Werbung", r"Personalisierung", r"Statistik",
|
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r"Notwendig", r"Erforderlich",
|
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)
|
||||
|
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_CATEGORY_PATTERN = "(?:" + "|".join(_CATEGORY_ANCHORS) + r")(?:\s*\([^)]*\))?"
|
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|
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# Cookie-Name: alphanum + underscore + dash + dot. Wir erlauben optional
|
||||
# einen Suffix-Underscore (Spalten-Umbruch bei VW: `VWD6_ENSIGHTEN_PRIVACY_`
|
||||
# als Name-Fragment). Mind. 3, max. 60 chars.
|
||||
_COOKIE_NAME_RE = (
|
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r"(?:[A-Za-z][\w\-.]{2,60}|[A-Za-z][\w\-.]{2,60}<[^>]+>)"
|
||||
)
|
||||
|
||||
|
||||
def parse_ocr_cookie_table(text: str) -> list[dict]:
|
||||
"""Extract cookie-records from Tesseract-OCR text using anchor-based
|
||||
pattern: <name> <category> <purpose...> <duration> <type>.
|
||||
|
||||
Returns list of {name, category, purpose, duration, type}. Vendor is
|
||||
NOT inferred here — caller maps via _guess_vendor.
|
||||
|
||||
KEINE Cookie-Namens-Korrektur — `awsalb` bleibt `awsalb`, nicht
|
||||
`awesome`. Falsche Korrektur waere ein Compliance-Verlust.
|
||||
"""
|
||||
if not text or len(text) < 200:
|
||||
return []
|
||||
import re as _re
|
||||
# Pattern: capture name + anchor category, then up to 250 chars
|
||||
# forward to grab duration + type tokens.
|
||||
pattern = _re.compile(
|
||||
rf"(?P<name>{_COOKIE_NAME_RE})\s+"
|
||||
rf"(?P<category>{_CATEGORY_PATTERN})"
|
||||
rf"(?P<rest>[^A-Z]{{0,300}}?)"
|
||||
rf"(?:(?P<duration>\d+(?:[.,]\s*)?\s*(?:Tage|Jahre?|Monate?|Minuten|Stunden|Sekunden)\.?)?\s*"
|
||||
rf"(?P<type>Permanent/Protokoll|Session\s*Cookie|Persistent\s*Cookie|Persistent\s*cookie))?",
|
||||
_re.IGNORECASE | _re.DOTALL,
|
||||
)
|
||||
seen_names: set[str] = set()
|
||||
out: list[dict] = []
|
||||
for m in pattern.finditer(text):
|
||||
name = (m.group("name") or "").strip()
|
||||
# Filter obvious garbage (UI strings, navigation, common words)
|
||||
if not name or len(name) < 3:
|
||||
continue
|
||||
nl = name.lower()
|
||||
if nl in seen_names:
|
||||
continue
|
||||
# Reject common non-cookie words. Cookie-Namen sind technische IDs:
|
||||
# haben oft Unterstrich/Bindestrich/Camel-Case oder sind kurze IDs.
|
||||
if nl in ("name", "art", "zweck", "dauer", "kategorie", "anbieter",
|
||||
"cookie", "cookies", "name des cookies",
|
||||
"this", "dieser", "diese", "alle", "und", "von", "der",
|
||||
"die", "das", "ein", "eine", "session", "permanent",
|
||||
"category"):
|
||||
continue
|
||||
# Cookie-Namen sollen kein reines Lower-Word sein OHNE _ oder -
|
||||
# (z.B. "verwendet" wuerde sonst matchen)
|
||||
has_marker = any(c in name for c in "_-.<>")
|
||||
is_caps = name.upper() == name and len(name) >= 3
|
||||
is_camel = any(c.isupper() for c in name[1:]) and any(c.islower() for c in name)
|
||||
if not (has_marker or is_caps or is_camel):
|
||||
# Lowercase word ohne Marker → vermutlich kein Cookie-Name
|
||||
continue
|
||||
seen_names.add(nl)
|
||||
out.append({
|
||||
"name": name[:80],
|
||||
"category": (m.group("category") or "").strip()[:60],
|
||||
"purpose": (m.group("rest") or "").strip()[:200],
|
||||
"duration": (m.group("duration") or "").strip()[:60],
|
||||
"type": (m.group("type") or "").strip()[:30],
|
||||
"vendor": "",
|
||||
})
|
||||
logger.info("parse_ocr_cookie_table: %d unique cookies extracted", len(out))
|
||||
return out
|
||||
|
||||
|
||||
_VISION_PROMPT = (
|
||||
"Du analysierst einen Screenshot einer Cookie-Richtlinie. Auf der Seite "
|
||||
"ist eine Tabelle mit Cookies aufgelistet. Spalten sind ueblicherweise: "
|
||||
"Name des Cookies, Kategorie (z.B. 'Funktional', 'Marketing', "
|
||||
"'Analytics'), Verwendungszweck, Speicherdauer, Art des Cookies "
|
||||
"(z.B. 'Permanent', 'Session').\n\n"
|
||||
"Extrahiere ALLE Cookies aus dem Bild. Wenn die Tabelle abgeschnitten "
|
||||
"ist, extrahiere alles was sichtbar ist. KEINE Cookies erfinden, KEINE "
|
||||
"Halluzinationen.\n\n"
|
||||
"Antworte als reines JSON-Objekt im Format:\n"
|
||||
'{"cookies": [\n'
|
||||
' {"name": "<Cookie-Name exakt>", "category": "<Kategorie>", '
|
||||
'"purpose": "<Kurzfassung Zweck max 120 chars>", '
|
||||
'"duration": "<Speicherdauer mit Einheit>", '
|
||||
'"type": "<Permanent|Session|...>", '
|
||||
'"vendor": "<Anbieter falls bekannt, sonst leer>"}\n'
|
||||
"]}\n\n"
|
||||
"Nur JSON, kein Erklaerungstext, keine Code-Fences."
|
||||
)
|
||||
|
||||
|
||||
async def capture_cookie_screenshot(
|
||||
cookie_url: str, check_id: str = "", timeout_s: float = 60.0,
|
||||
) -> dict:
|
||||
"""Trigger consent-tester to capture full-page screenshot of cookie URL.
|
||||
|
||||
Returns dict with png_b64, captured_at, url, width_px, height_px etc.
|
||||
Empty png_b64 on error.
|
||||
"""
|
||||
if not cookie_url:
|
||||
return {"png_b64": "", "error": "no url"}
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=timeout_s) as c:
|
||||
r = await c.post(
|
||||
f"{CONSENT_TESTER_URL}/capture-evidence",
|
||||
json={"url": cookie_url, "check_id": check_id},
|
||||
timeout=timeout_s,
|
||||
)
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
logger.info(
|
||||
"Evidence-Screenshot: %s -> %d bytes (%dx%d, expanded=%d, accepted=%s)",
|
||||
cookie_url, data.get("png_size", 0),
|
||||
data.get("width_px", 0), data.get("height_px", 0),
|
||||
data.get("expanded", 0), data.get("accepted_banner"),
|
||||
)
|
||||
return data
|
||||
except Exception as e:
|
||||
logger.warning("capture_cookie_screenshot failed for %s: %s",
|
||||
cookie_url, e)
|
||||
return {"png_b64": "", "error": str(e)[:200]}
|
||||
|
||||
|
||||
async def extract_cookies_via_vision(
|
||||
png_b64: str, timeout_s: float = 240.0,
|
||||
) -> list[dict]:
|
||||
"""Call Ollama llama3.2-vision with the screenshot + extraction prompt.
|
||||
|
||||
Returns list of {name, category, purpose, duration, type, vendor}.
|
||||
Empty list on failure.
|
||||
"""
|
||||
if not png_b64:
|
||||
return []
|
||||
payload = {
|
||||
"model": VISION_MODEL,
|
||||
"stream": False,
|
||||
"format": "json",
|
||||
"messages": [{
|
||||
"role": "user",
|
||||
"content": _VISION_PROMPT,
|
||||
"images": [png_b64],
|
||||
}],
|
||||
"options": {
|
||||
"temperature": 0.05,
|
||||
"num_predict": 8000,
|
||||
},
|
||||
}
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=timeout_s) as c:
|
||||
r = await c.post(
|
||||
f"{OLLAMA_URL.rstrip('/')}/api/chat",
|
||||
json=payload,
|
||||
)
|
||||
r.raise_for_status()
|
||||
content = (r.json().get("message") or {}).get("content", "") or ""
|
||||
cookies = _parse_vision_response(content)
|
||||
logger.info(
|
||||
"Vision-OCR extracted %d cookies (model=%s, response_len=%d)",
|
||||
len(cookies), VISION_MODEL, len(content),
|
||||
)
|
||||
return cookies
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
"Vision-OCR call failed: %s (%s) model=%s",
|
||||
str(e) or "(no msg)", type(e).__name__, VISION_MODEL,
|
||||
)
|
||||
return []
|
||||
|
||||
|
||||
def _parse_vision_response(content: str) -> list[dict]:
|
||||
"""Be lenient: code fences, leading prose, partial JSON."""
|
||||
if not content:
|
||||
return []
|
||||
txt = content.strip()
|
||||
if txt.startswith("```"):
|
||||
lines = txt.split("\n")
|
||||
if lines and lines[-1].strip().startswith("```"):
|
||||
txt = "\n".join(lines[1:-1])
|
||||
else:
|
||||
txt = "\n".join(lines[1:])
|
||||
a, b = txt.find("{"), txt.rfind("}")
|
||||
if not (0 <= a < b):
|
||||
return []
|
||||
try:
|
||||
obj = json.loads(txt[a:b + 1])
|
||||
except json.JSONDecodeError:
|
||||
return []
|
||||
if not isinstance(obj, dict):
|
||||
return []
|
||||
arr = obj.get("cookies") or obj.get("Cookies") or []
|
||||
if not isinstance(arr, list):
|
||||
return []
|
||||
out: list[dict] = []
|
||||
for item in arr[:300]: # cap to sanity
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
name = (item.get("name") or "").strip()
|
||||
if not name or len(name) < 2 or len(name) > 80:
|
||||
continue
|
||||
# Strip obvious garbage
|
||||
if re.fullmatch(r"[\s\-_.]+", name):
|
||||
continue
|
||||
out.append({
|
||||
"name": name[:80],
|
||||
"category": (item.get("category") or "").strip()[:60],
|
||||
"purpose": (item.get("purpose") or "").strip()[:200],
|
||||
"duration": (item.get("duration") or "").strip()[:60],
|
||||
"type": (item.get("type") or "").strip()[:30],
|
||||
"vendor": (item.get("vendor") or "").strip()[:80],
|
||||
})
|
||||
return out
|
||||
|
||||
|
||||
def cookies_to_vendor_records(
|
||||
cookies: list[dict], guess_vendor_fn=None,
|
||||
) -> list[dict]:
|
||||
"""Aggregate OCR-extracted cookies into vendor records compatible with
|
||||
cmp_vendors-schema. guess_vendor_fn: optional callable name → vendor.
|
||||
|
||||
Each cookie's vendor field is used; if empty, we fall back to
|
||||
guess_vendor_fn (e.g. _guess_vendor from cookies_table_parser).
|
||||
"""
|
||||
by_vendor: dict[str, dict] = {}
|
||||
for c in cookies:
|
||||
v_name = (c.get("vendor") or "").strip()
|
||||
if not v_name and guess_vendor_fn:
|
||||
try:
|
||||
v_name = guess_vendor_fn(c["name"]) or ""
|
||||
except Exception:
|
||||
v_name = ""
|
||||
if not v_name:
|
||||
v_name = "Unbekannter Anbieter"
|
||||
v = by_vendor.setdefault(v_name, {
|
||||
"name": v_name,
|
||||
"country": "",
|
||||
"purpose": "",
|
||||
"category": c.get("category", ""),
|
||||
"opt_out_url": "",
|
||||
"privacy_policy_url": "",
|
||||
"persistence": c.get("duration", ""),
|
||||
"cookies": [],
|
||||
"source": "vision_ocr",
|
||||
})
|
||||
v["cookies"].append({
|
||||
"name": c["name"],
|
||||
"purpose": c.get("purpose", ""),
|
||||
"expiry": c.get("duration", ""),
|
||||
"is_third_party": True,
|
||||
"declared_category": c.get("category", ""),
|
||||
"type": c.get("type", ""),
|
||||
})
|
||||
return list(by_vendor.values())
|
||||
@@ -52,3 +52,4 @@ idna>=3.7
|
||||
cryptography>=42.0.0
|
||||
pillow>=12.1.1
|
||||
python-docx==1.2.0
|
||||
pytesseract>=0.3.13
|
||||
|
||||
@@ -16,6 +16,7 @@ from services.consent_scanner import run_consent_test, ConsentTestResult
|
||||
from services.authenticated_scanner import run_authenticated_test, AuthTestResult
|
||||
from services.playwright_scanner import scan_website_playwright
|
||||
from services.dsi_discovery import discover_dsi_documents, DSIDiscoveryResult
|
||||
from services.page_screenshot import capture_page_evidence
|
||||
from checks.banner_runner import map_scan_to_checks
|
||||
|
||||
logging.basicConfig(level=logging.INFO, format="%(levelname)s:%(name)s: %(message)s")
|
||||
@@ -365,6 +366,47 @@ async def dsi_discovery(req: DSIDiscoveryRequest):
|
||||
)
|
||||
|
||||
|
||||
# ── Evidence screenshot (full-page + timestamp) ─────────────────────
|
||||
|
||||
class EvidenceRequest(BaseModel):
|
||||
url: str
|
||||
check_id: str = ""
|
||||
|
||||
|
||||
class EvidenceResponse(BaseModel):
|
||||
url: str # final URL after redirects
|
||||
captured_at: str
|
||||
width_px: int
|
||||
height_px: int
|
||||
accepted_banner: bool
|
||||
expanded: int
|
||||
png_b64: str
|
||||
png_size: int
|
||||
|
||||
|
||||
@app.post("/capture-evidence", response_model=EvidenceResponse)
|
||||
async def capture_evidence(req: EvidenceRequest):
|
||||
"""Full-page screenshot with timestamp banner — for legal evidence.
|
||||
|
||||
Used by backend to capture the Cookie-Richtlinie + DSE pages so the
|
||||
audit-mail ZIP-attachment contains the exact rendered DOM at scan time.
|
||||
"""
|
||||
import base64 as _b64
|
||||
logger.info("Capturing evidence screenshot for %s", req.url)
|
||||
data = await capture_page_evidence(req.url, check_id=req.check_id)
|
||||
png = data["png_bytes"]
|
||||
return EvidenceResponse(
|
||||
url=data["url"],
|
||||
captured_at=data["captured_at"],
|
||||
width_px=data["width_px"],
|
||||
height_px=data["height_px"],
|
||||
accepted_banner=data["accepted_banner"],
|
||||
expanded=data["expanded"],
|
||||
png_b64=_b64.b64encode(png).decode("ascii") if png else "",
|
||||
png_size=len(png) if png else 0,
|
||||
)
|
||||
|
||||
|
||||
# ── Admin: CMP discoveries (Phase E) ────────────────────────────────
|
||||
|
||||
@app.get("/cmp-discoveries")
|
||||
|
||||
@@ -0,0 +1,176 @@
|
||||
"""Full-page screenshot mit Timestamp-Overlay.
|
||||
|
||||
Macht ein vollständiges Screenshot einer URL (z.B. Cookie-Richtlinie),
|
||||
mit eingebrannter Timestamp + URL fuer juristische Beweiskraft. Akzeptiert
|
||||
das Banner zuvor (sonst wuerde Banner-Overlay die Tabelle verdecken) und
|
||||
klappt Accordions auf.
|
||||
|
||||
Returnt PNG bytes + Metadaten.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from playwright.async_api import async_playwright
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
_USER_AGENT = (
|
||||
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
|
||||
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
|
||||
_TIMESTAMP_BANNER_JS = r"""(meta) => {
|
||||
// Einbrenn-Banner ans Seitenkopf: ohne in den Original-Inhalt einzugreifen,
|
||||
// damit die Beweiskraft erhalten bleibt (nur Overlay-Header).
|
||||
const bar = document.createElement('div');
|
||||
bar.setAttribute('id', '__bp_evidence_bar__');
|
||||
bar.style.cssText = (
|
||||
'position:relative;background:#0f172a;color:#fff;'
|
||||
'padding:10px 18px;font:600 13px/1.4 -apple-system,'
|
||||
'BlinkMacSystemFont,sans-serif;border-bottom:3px solid #0ea5e9;'
|
||||
'z-index:2147483647;box-sizing:border-box;width:100%'
|
||||
);
|
||||
bar.innerHTML = (
|
||||
'<div>BreakPilot Compliance-Audit · ' + meta.url + '</div>' +
|
||||
'<div style="font-weight:400;opacity:0.8;font-size:11px;margin-top:2px">' +
|
||||
'Erfasst: ' + meta.ts + ' UTC · Scan-ID ' + meta.check_id +
|
||||
'</div>'
|
||||
);
|
||||
document.body.insertBefore(bar, document.body.firstChild);
|
||||
}"""
|
||||
|
||||
|
||||
_EXPAND_ALL_JS = r"""() => {
|
||||
// Click everything that looks expandable so cookie-table-rows nested
|
||||
// in accordions become visible in the full-page screenshot.
|
||||
let n = 0;
|
||||
const triggers = document.querySelectorAll(
|
||||
'[aria-expanded="false"], summary, ' +
|
||||
'details:not([open]), ' +
|
||||
'button[class*="expand" i], button[class*="accordion" i], ' +
|
||||
'button[class*="toggle" i], [role="button"][class*="expand" i]'
|
||||
);
|
||||
for (const t of triggers) {
|
||||
try { t.click(); if (t.open !== undefined) t.open = true; n++; } catch(e){}
|
||||
}
|
||||
return n;
|
||||
}"""
|
||||
|
||||
|
||||
_DISMISS_BANNER_JS = r"""() => {
|
||||
// Click any "Accept all" / "Alle akzeptieren" / "Akzeptieren" button so
|
||||
// the consent overlay disappears and we can capture the page content.
|
||||
// We accept rather than reject because rejecting often LEAVES the banner
|
||||
// in place ("you must consent to continue"), blocking the screenshot.
|
||||
function walk(root) {
|
||||
if (!root || !root.querySelectorAll) return false;
|
||||
const buttons = root.querySelectorAll(
|
||||
'button, [role="button"], a, [class*="accept" i]'
|
||||
);
|
||||
for (const b of buttons) {
|
||||
const t = (b.textContent || '').trim().toLowerCase();
|
||||
if (!t || t.length > 40) continue;
|
||||
if (t === 'alle akzeptieren' || t === 'akzeptieren' ||
|
||||
t === 'accept all' || t === 'agree' || t === 'einverstanden' ||
|
||||
t === 'i agree' || t === 'zustimmen' || t === 'ok' ||
|
||||
t === 'alle cookies akzeptieren' || t === 'alle annehmen') {
|
||||
try { b.click(); return true; } catch(e){}
|
||||
}
|
||||
}
|
||||
const all = root.querySelectorAll('*');
|
||||
for (const el of all) if (el.shadowRoot && walk(el.shadowRoot)) return true;
|
||||
return false;
|
||||
}
|
||||
return walk(document);
|
||||
}"""
|
||||
|
||||
|
||||
async def capture_page_evidence(
|
||||
url: str,
|
||||
check_id: str = "",
|
||||
timeout_ms: int = 30000,
|
||||
max_height_px: int = 30000,
|
||||
) -> dict:
|
||||
"""Capture a full-page screenshot of `url` with embedded timestamp.
|
||||
|
||||
Returns dict:
|
||||
png_bytes: bytes
|
||||
captured_at: ISO timestamp
|
||||
url: final URL after redirects
|
||||
accepted_banner: bool
|
||||
expanded: int — accordion-clicks performed
|
||||
height_px, width_px
|
||||
"""
|
||||
out: dict = {
|
||||
"png_bytes": b"",
|
||||
"captured_at": "",
|
||||
"url": url,
|
||||
"accepted_banner": False,
|
||||
"expanded": 0,
|
||||
"height_px": 0,
|
||||
"width_px": 0,
|
||||
}
|
||||
ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
|
||||
async with async_playwright() as p:
|
||||
browser = await p.chromium.launch(
|
||||
headless=True,
|
||||
args=["--no-sandbox", "--disable-dev-shm-usage"],
|
||||
)
|
||||
ctx = await browser.new_context(
|
||||
user_agent=_USER_AGENT,
|
||||
viewport={"width": 1280, "height": 1024},
|
||||
locale="de-DE",
|
||||
timezone_id="Europe/Berlin",
|
||||
)
|
||||
page = await ctx.new_page()
|
||||
try:
|
||||
await page.goto(url, wait_until="domcontentloaded", timeout=timeout_ms)
|
||||
await page.wait_for_timeout(3500)
|
||||
# Step 1: dismiss banner (accept) so we see the policy content
|
||||
try:
|
||||
out["accepted_banner"] = bool(await page.evaluate(_DISMISS_BANNER_JS))
|
||||
if out["accepted_banner"]:
|
||||
await page.wait_for_timeout(1500)
|
||||
except Exception as e:
|
||||
logger.debug("dismiss-banner failed: %s", e)
|
||||
# Step 2: expand accordions / details
|
||||
try:
|
||||
out["expanded"] = int(await page.evaluate(_EXPAND_ALL_JS) or 0)
|
||||
if out["expanded"]:
|
||||
await page.wait_for_timeout(1500)
|
||||
except Exception as e:
|
||||
logger.debug("expand-all failed: %s", e)
|
||||
out["url"] = page.url
|
||||
# Step 3: inject timestamp banner for evidence
|
||||
try:
|
||||
await page.evaluate(_TIMESTAMP_BANNER_JS, {
|
||||
"url": out["url"], "ts": ts, "check_id": check_id or "—",
|
||||
})
|
||||
except Exception as e:
|
||||
logger.debug("timestamp-inject failed: %s", e)
|
||||
# Step 4: capture full-page screenshot. Cap height for sanity.
|
||||
dims = await page.evaluate(
|
||||
"() => ({w: document.documentElement.scrollWidth, "
|
||||
"h: document.documentElement.scrollHeight})"
|
||||
)
|
||||
out["width_px"] = int(dims.get("w") or 0)
|
||||
out["height_px"] = min(int(dims.get("h") or 0), max_height_px)
|
||||
# If page is too tall, scroll-into-view to anchor a screenshot region
|
||||
png = await page.screenshot(
|
||||
full_page=True, type="png", timeout=timeout_ms,
|
||||
)
|
||||
out["png_bytes"] = png
|
||||
out["captured_at"] = ts
|
||||
logger.info(
|
||||
"Evidence screenshot captured: %s (%dx%d, %d bytes, accepted=%s, expanded=%d)",
|
||||
out["url"], out["width_px"], out["height_px"],
|
||||
len(png), out["accepted_banner"], out["expanded"],
|
||||
)
|
||||
finally:
|
||||
await ctx.close()
|
||||
await browser.close()
|
||||
return out
|
||||
Reference in New Issue
Block a user