feat(consent-tester): /scan-matrix echt — Profil je Engine + Per-Engine-Summary (Phase 1.2)

- _scanner_run reicht browser_profile an run_consent_test durch (statt Single-Chromium-Shim)
- neue scan_matrix_summary.matrix_scan_dict: ConsentTestResult -> schlanke
  Matrix-dict-Form (phases fuer _extract_dimensions + kompakter `summary`:
  cookies_before_consent/after_reject, reject_respected-Heuristik [keine
  Verstoesse UND kein neuer Tracker], surface, screenshot)
- multi_browser_scanner._run_one hebt summary + engine + is_mobile an die
  Zeile, verwirft die vollen Cookie-Listen (JSONB-Persistenz schlank)
- consent_scanner: _ctx_base mit Mobile-Device-Emulation (iPhone-Profil ->
  echtes Mobile-Viewport/Touch), alle 5 new_context auf **_ctx_base
- Tests: test_scan_matrix_summary (6) inkl. _extract_dimensions-Vertrag

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

consent-tester/services/multi_browser_scanner.py

@@ -128,16 +128,24 @@ async def run_matrix(
             logger.warning("matrix profile %s failed: %s", prof["id"], e)
             return {
                 "profile_id": prof["id"], "label": prof["label"],
-                "scan": None, "error": str(e)[:200],
+                "engine": prof.get("engine"),
+                "is_mobile": bool(prof.get("device")),
+                "summary": None, "error": str(e)[:200],
                 "dimensions": {"pre_consent": 0, "reject_respect": 0,
                                 "banner_design": 0},
                 "score": 0, "verbal": "Scan fehlgeschlagen",
             }
         dims = _extract_dimensions(scan or {})
         score = _score(dims)
+        # Nur den kompakten `summary` an die Zeile heben — die vollen
+        # phases/Cookie-Listen werden für das Scoring konsumiert und dann
+        # verworfen (sonst bläht 6× volle Cookie-Liste die JSONB-Persistenz).
+        summary = (scan or {}).get("summary") if isinstance(scan, dict) else None
         return {
             "profile_id": prof["id"], "label": prof["label"],
-            "scan": scan, "dimensions": dims, "score": score,
+            "engine": prof.get("engine"),
+            "is_mobile": bool(prof.get("device")),
+            "summary": summary, "dimensions": dims, "score": score,
             "verbal": _verbal(score),
         }