inseriti i dati lat/lon nel file di salvataggio della simulazione

target_simulator/gui/analysis_window.py

@@ -93,7 +93,10 @@ class AnalysisWindow(tk.Toplevel):
             self._update_stats_table(analysis_results[sel_id])
             self._update_plot(sel_id)
         else:
-            self._clear_views()
+            # Provide diagnostic information when analysis cannot be
+            # produced for the selected target (common cause: no
+            # overlapping timestamps between simulated and real samples).
+            self._show_insufficient_data_info(sel_id)
 
     def _create_widgets(self):
         main_pane = ttk.PanedWindow(self, orient=tk.VERTICAL)
@@ -305,6 +308,74 @@ class AnalysisWindow(tk.Toplevel):
         self.ax.autoscale_view()
         self.canvas.draw_idle()
 
+    def _show_insufficient_data_info(self, target_id: int):
+        """Display helpful information in the stats table when a target
+        cannot be analyzed (for example because simulated and real time
+        ranges do not overlap). This avoids an empty UI and gives the
+        user actionable context.
+        """
+        try:
+            # Clear previous contents
+            self.stats_tree.delete(*self.stats_tree.get_children())
+
+            history = self._hub.get_target_history(target_id)
+            if history is None:
+                self.stats_tree.insert("", "end", values=("Info", "Target not found", "", ""))
+                self._clear_views()
+                return
+
+            sim_times = [s[0] for s in history.get("simulated", [])]
+            real_times = [r[0] for r in history.get("real", [])]
+
+            sim_count = len(sim_times)
+            real_count = len(real_times)
+
+            sim_range = (
+                (min(sim_times), max(sim_times)) if sim_times else (None, None)
+            )
+            real_range = (
+                (min(real_times), max(real_times)) if real_times else (None, None)
+            )
+
+            # populate the small table with human-readable diagnostic rows
+            self.stats_tree.insert(
+                "",
+                "end",
+                values=("Info", f"Target {target_id}", "", ""),
+            )
+            self.stats_tree.insert(
+                "",
+                "end",
+                values=("Sim samples", str(sim_count), "", ""),
+            )
+            self.stats_tree.insert(
+                "",
+                "end",
+                values=("Sim time range", f"{sim_range[0]} -> {sim_range[1]}", "", ""),
+            )
+            self.stats_tree.insert(
+                "",
+                "end",
+                values=("Real samples", str(real_count), "", ""),
+            )
+            self.stats_tree.insert(
+                "",
+                "end",
+                values=("Real time range", f"{real_range[0]} -> {real_range[1]}", "", ""),
+            )
+
+            # keep plot cleared
+            self.line_x.set_data([], [])
+            self.line_y.set_data([], [])
+            self.line_z.set_data([], [])
+            self.ax.relim()
+            self.ax.autoscale_view()
+            self.canvas.draw_idle()
+        except Exception:
+            # Fail silently to avoid breaking the analysis window; show
+            # the cleared view as a fallback.
+            self._clear_views()
+
     def _on_close(self):
         self._active = False
         self.destroy()

target_simulator/gui/ppi_display.py

@@ -85,6 +85,10 @@ class PPIDisplay(ttk.Frame):
             "next_ts": None,
             "animating": False,
             "tick_ms": 33,
+            # When no new antenna timestamps arrive, perform a small
+            # continuous idle sweep so the UI remains visually active.
+            # Degrees per second to rotate while idle (fallback).
+            "idle_rotation_deg_per_s": 30.0,
         }
         self._antenna_line_artist: mpl.lines.Line2D | None = None
 
@@ -533,8 +537,25 @@ class PPIDisplay(ttk.Frame):
                 return
 
             if next_ts <= last_ts:
-                cur = next_az
+                # No upcoming timestamp to interpolate towards. Instead
-                st["animating"] = False
+                # perform a small idle rotation so the antenna appears to
+                # sweep even when updates are sparse or timestamps do not
+                # advance. This keeps the UI lively and avoids a static
+                # antenna when the data source doesn't provide frequent
+                # azimuth samples.
+                try:
+                    idle_speed = float(st.get("idle_rotation_deg_per_s", 30.0))
+                    # rotate since last_ts using idle speed
+                    dt = max(0.0, now - (last_ts or now))
+                    cur = (last_az + idle_speed * dt) % 360
+                    # update last_ts so subsequent steps continue smoothly
+                    st["last_ts"] = now
+                    st["last_az_deg"] = cur
+                    # keep animating until explicit stop
+                    st["animating"] = True
+                except Exception:
+                    cur = next_az
+                    st["animating"] = False
             else:
                 frac = max(0.0, min(1.0, (now - last_ts) / (next_ts - last_ts)))
                 diff = ((next_az - last_az + 180) % 360) - 180

tools/scan_archives.py

@@ -0,0 +1,14 @@
+import json, os
+folder = r'c:\src\____GitProjects\target_simulator\archive_simulations'
+for fn in os.listdir(folder):
+    if not fn.endswith('.json'):
+        continue
+    p = os.path.join(folder, fn)
+    try:
+        with open(p,'r',encoding='utf-8') as f:
+            j = json.load(f)
+    except Exception:
+        continue
+    n = len(j.get('simulation_results', {}))
+    if n >= 3:
+        print(fn, n)