fix: wildfire data parsing + dashboard cascade failure protection

Population exposure was showing 0 because exposure.py parsed wildfire
data using wrong keys ("regions" instead of "fires_by_region", "detections"
instead of "top_clusters"). Now correctly matches NASA FIRMS response format.

Dashboard updateAll() now wraps each map/UI update in try/catch to prevent
a single failed layer from blocking all subsequent layer renders.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/world_intel_mcp/analysis/exposure.py

@@ -117,17 +117,17 @@ async def fetch_population_exposure(
                 "detail": f"M{eq.get('magnitude', '?')} {eq.get('place', '')}",
             })
 
-    # Wildfires
-    for region_data in results.get("wildfire", {}).get("regions", []):
-        for fire in region_data.get("detections", []):
-            lat = fire.get("latitude") or fire.get("lat")
-            lon = fire.get("longitude") or fire.get("lon")
+    # Wildfires (fires_by_region is a dict keyed by region name)
+    for region_name, region_data in results.get("wildfire", {}).get("fires_by_region", {}).items():
+        for cluster in region_data.get("top_clusters", []):
+            lat = cluster.get("lat")
+            lon = cluster.get("lon")
             if lat is not None and lon is not None:
                 events.append({
                     "lat": float(lat),
                     "lon": float(lon),
                     "type": "wildfire",
-                    "detail": f"FRP {fire.get('frp', '?')} in {region_data.get('region', '?')}",
+                    "detail": f"FRP {cluster.get('max_frp', '?')} ({cluster.get('fire_count', '?')} fires) in {region_name}",
                 })
 
     # Conflict

src/world_intel_mcp/dashboard/index.html

@@ -1887,30 +1887,35 @@ function updateTicker(data) {
 function updateAll(data) {
     latestData = data;
 
-    // Map layers
-    updateMapQuakes(data.earthquakes);
-    updateMapMilitary(data.military_flights);
+    // Map layers (each wrapped to prevent cascade failures)
     var conflictData = (data.acled_events && !data.acled_events.error && data.acled_events.count > 0) ? data.acled_events
         : (data.ucdp_events && !data.ucdp_events.error && data.ucdp_events.count > 0) ? data.ucdp_events
         : data.conflict_zones;
-    updateMapConflict(conflictData);
-    updateMapFires(data.wildfires);
-    updateMapConvergence(data.signal_convergence);
-    updateMapNuclear(data.nuclear_monitor);
-    updateMapInfra(data);
-    updateMapExposure(data.population_exposure);
+    var mapUpdates = [
+        ['quakes', function() { updateMapQuakes(data.earthquakes); }],
+        ['military', function() { updateMapMilitary(data.military_flights); }],
+        ['conflict', function() { updateMapConflict(conflictData); }],
+        ['fires', function() { updateMapFires(data.wildfires); }],
+        ['convergence', function() { updateMapConvergence(data.signal_convergence); }],
+        ['nuclear', function() { updateMapNuclear(data.nuclear_monitor); }],
+        ['infra', function() { updateMapInfra(data); }],
+        ['exposure', function() { updateMapExposure(data.population_exposure); }]
+    ];
+    mapUpdates.forEach(function(pair) {
+        try { pair[1](); } catch(e) { console.warn('updateAll: ' + pair[0] + ' failed:', e); }
+    });
 
     // Alert banner
-    updateAlertBanner(data.alert_digest);
+    try { updateAlertBanner(data.alert_digest); } catch(e) { console.warn('updateAll: alert_banner failed:', e); }
 
     // HUD
-    updateHudStats(data);
+    try { updateHudStats(data); } catch(e) { console.warn('updateAll: hud failed:', e); }
 
     // Drawer
-    updateDrawer(data);
+    try { updateDrawer(data); } catch(e) { console.warn('updateAll: drawer failed:', e); }
 
     // Ticker
-    updateTicker(data);
+    try { updateTicker(data); } catch(e) { console.warn('updateAll: ticker failed:', e); }
 
     // Feed health
     var feedKeys = Object.keys(data).filter(function(k) { return k !== 'source_health' && k !== 'cache_stats' && k !== 'timestamp'; });