fix: globe run selection fallback + arc start height 5.2 / ecc 0.85 to avoid earth intersection

analysis/views.py

@@ -1122,20 +1122,12 @@ def globe_view(request):
                 except AnalysisRun.DoesNotExist:
                     pass
 
+    # Check if user-selected runs have valid files; if not, fall through
+    all_selected_failed = bool(selected_ids_list)
+    fallback_run = None
+
     if not selected_runs:
-        # Default: iterate from latest completed run backward until we find one with files
-        for latest in AnalysisRun.objects.filter(status='completed').order_by('-id'):
-            if not latest.csv_glob:
-                continue
-            glob_path = Path(latest.csv_glob)
-            if '/*' in latest.csv_glob:
-                # Glob pattern — check parent dir
-                if glob_path.parent.is_dir():
-                    selected_runs = [latest]
-                    break
-            elif glob_path.exists():
-                selected_runs = [latest]
-                break
+        all_selected_failed = False
 
     flows = []
 
@@ -1144,11 +1136,35 @@ def globe_view(request):
             lf, schema, rc, fc, mem = load_csv_directory(run.csv_glob)
             df = lf.head(MAX_ROWS_PER_RUN).collect()
             flows.extend(_extract_flows_from_df(df, MAX_ROWS_PER_RUN))
+            all_selected_failed = False
             break  # stop after first successful load
         except Exception as exc:
             logger.warning('[GLOBE] Failed to load run %s (%s): %s', run.id, run.csv_glob, exc)
             continue
 
+    if all_selected_failed or not flows:
+        # Fallback: latest completed run with valid files
+        for latest in AnalysisRun.objects.filter(status='completed').order_by('-id'):
+            if not latest.csv_glob:
+                continue
+            glob_path = Path(latest.csv_glob)
+            try:
+                if '/*' in latest.csv_glob:
+                    if glob_path.parent.is_dir():
+                        lf, schema, rc, fc, mem = load_csv_directory(latest.csv_glob)
+                        df = lf.head(MAX_ROWS_PER_RUN).collect()
+                        flows.extend(_extract_flows_from_df(df, MAX_ROWS_PER_RUN))
+                        selected_runs = [latest]
+                        break
+                elif glob_path.exists():
+                    lf, schema, rc, fc, mem = load_csv_directory(latest.csv_glob)
+                    df = lf.head(MAX_ROWS_PER_RUN).collect()
+                    flows.extend(_extract_flows_from_df(df, MAX_ROWS_PER_RUN))
+                    selected_runs = [latest]
+                    break
+            except Exception:
+                continue
+
     resp = render(request, 'tianxuan/globe.html', {
         'geo_flows': json.dumps(flows),
         'all_runs': all_runs,

templates/tianxuan/globe.html

@@ -183,10 +183,10 @@ var SPACING = 0.018;
 var arcData = [];
 
 flowData.slice(0, 120).forEach(function(f) {
-    var src = ll2pos(f.slat, f.slon, 5.03);
-    var dst = ll2pos(f.dlat, f.dlon, 5.03);
+    var src = ll2pos(f.slat, f.slon, 5.2);
+    var dst = ll2pos(f.dlat, f.dlon, 5.2);
     if (src.distanceTo(dst) < 1.0) return;
-    var ep = ellipseParams(src, dst, 0.75);
+    var ep = ellipseParams(src, dst, 0.85);
     if (!ep) return;
     var curve = ellipseCurve(ep);
     var c = arcColors[f.tls] || 0x4cc9f0;