feat: average administered doses chart tab (Task D.2)

dash_app/callbacks/chart.py

@@ -392,6 +392,31 @@ def _render_timeline(app_state, title):
     return create_drug_timeline_figure(data, title)
 
 
+def _render_doses(app_state, title):
+    """Build the average administered doses figure from current filter state."""
+    from dash_app.data.queries import get_dosing_distribution
+    from visualization.plotly_generator import create_dosing_distribution_figure
+
+    filter_id = (app_state or {}).get("date_filter_id", "all_6mo")
+    chart_type = (app_state or {}).get("chart_type", "directory")
+
+    selected_dirs = (app_state or {}).get("selected_directorates") or []
+    selected_trusts = (app_state or {}).get("selected_trusts") or []
+    directory = selected_dirs[0] if len(selected_dirs) == 1 else None
+    trust = selected_trusts[0] if len(selected_trusts) == 1 else None
+
+    try:
+        data = get_dosing_distribution(filter_id, chart_type, directory, trust)
+    except Exception:
+        log.exception("Failed to load dosing distribution data")
+        return _empty_figure("Failed to load dosing distribution data.")
+
+    if not data:
+        return _empty_figure("No dosing distribution data available.\nTry adjusting your filters.")
+
+    return create_dosing_distribution_figure(data, title)
+
+
 def register_chart_callbacks(app):
     """Register tab switching, pathway data loading, and chart rendering callbacks."""
 
@@ -547,6 +572,9 @@ def register_chart_callbacks(app):
         elif active_tab == "timeline":
             fig = _render_timeline(app_state, title)
 
+        elif active_tab == "doses":
+            fig = _render_doses(app_state, title)
+
         else:
             # Placeholder for charts not yet implemented
             tab_label = dict(TAB_DEFINITIONS).get(active_tab, active_tab)