Feat/gt analytics openclaw (#392)

* feat(telegram): auto-translate OSINT channel posts to English

Cherry-picked from @Bobpick PR #391 (telegram-only slice): server-side translation during fetch, SHOW ORIGINAL toggle in TelegramOsintPopup, and on-demand /api/telegram-feed?lang=.

Co-authored-by: Robert Pickett <bobpickettsr@yahoo.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

* feat(gt): experimental Derived OSINT analytics with lean-node safeguards

Cherry-picked from @Bobpick PR #391 (GT + OpenClaw slice): Bayesian strategic-risk engine, map overlay, OpenClaw commands, and telegram_rhetoric watchdog. Off by default (GT_ANALYTICS_ENABLED=false, gt_risk layer false). 1 vCPU nodes get cgroup detection, UI warning on layer toggle, and lean profile that skips scheduled ingest/Louvain unless GT_ANALYTICS_ACK_LOW_CPU=true. Backtest HUD removed from dashboard (OpenClaw/API regression only).

Co-authored-by: Robert Pickett <bobpickettsr@yahoo.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Robert Pickett <bobpickettsr@yahoo.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

backend/services/fetchers/_store.py

@@ -74,6 +74,7 @@ class DashboardData(TypedDict, total=False):
     cyber_threats: Dict[str, Any]
     scm_suppliers: Dict[str, Any]
     telegram_osint: Dict[str, Any]
+    gt_risk: Dict[str, Any]
 
 
 # In-memory store
@@ -129,6 +130,13 @@ latest_data: DashboardData = {
     "cyber_threats": {"threats": [], "stats": {}},
     "scm_suppliers": {"suppliers": [], "total": 0, "critical_count": 0},
     "telegram_osint": {"posts": [], "total": 0, "geolocated": 0, "timestamp": None},
+    "gt_risk": {
+        "enabled": False,
+        "heatmap": {"type": "FeatureCollection", "features": []},
+        "clusters": [],
+        "processed": 0,
+        "timestamp": None,
+    },
 }
 
 # Per-source freshness timestamps
@@ -361,6 +369,7 @@ active_layers: dict[str, bool] = {
     "scm_suppliers": False,
     "cyber_threats": False,
     "telegram_osint": True,
+    "gt_risk": False,
 }