fix: complete intelligence layer refreshes and UAP fallback

backend/analytics/gt_early_warning.py

@@ -326,6 +326,21 @@ class GT_EarlyWarning:
             if item_id:
                 self._seen_item_ids.add(item_id)
 
+        # Keep geolocated feed items plottable even when they do not contain a
+        # costly-signal keyword. The prior placement below only stored coords
+        # after a positive classification, so most derived-OSINT regions were
+        # emitted at [0, 0] and correctly discarded by the map builder.
+        if isinstance(coords, (list, tuple)) and len(coords) >= 2:
+            try:
+                lat = float(coords[0])
+                lng = float(coords[1])
+            except (TypeError, ValueError):
+                pass
+            else:
+                with self._lock:
+                    state = self._region_state(region)
+                    state.coords = [lat, lng]
+
         signals = self.classify_signals(text, source)
         total_strength = float(sum(signals.values()))
 
@@ -362,14 +377,6 @@ class GT_EarlyWarning:
             )
             posteriors[domain] = posterior
 
-        if isinstance(coords, (list, tuple)) and len(coords) >= 2:
-            with self._lock:
-                state = self._region_state(region)
-                try:
-                    state.coords = [float(coords[0]), float(coords[1])]
-                except (TypeError, ValueError):
-                    pass
-
         self._update_graph(region, entities, total_strength, coords if isinstance(coords, list) else None)
 
         composite = self.composite_risk(region)
@@ -590,4 +597,4 @@ class GT_EarlyWarning:
                 "graph_nodes": self.G.number_of_nodes(),
                 "graph_edges": self.G.number_of_edges(),
                 "processed_items": len(self._seen_item_ids),
-            }
+            }