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)

dash_app/components/chart_card.py

@@ -13,6 +13,7 @@ TAB_DEFINITIONS = [
     ("scatter", "Scatter"),
     ("network", "Network"),
     ("timeline", "Timeline"),
+    ("doses", "Doses"),
 ]
 
 # Full set retained for Trust Comparison dashboard (Phase 10.8)

dash_app/data/queries.py

@@ -29,6 +29,7 @@ from data_processing.pathway_queries import (
     get_duration_cost_scatter as _get_duration_cost_scatter,
     get_drug_network as _get_drug_network,
     get_drug_timeline as _get_drug_timeline,
+    get_dosing_distribution as _get_dosing_distribution,
 )
 
 DB_PATH = Path(__file__).resolve().parents[2] / "data" / "pathways.db"
@@ -238,3 +239,13 @@ def get_drug_timeline(
 ) -> list[dict]:
     """Drug timeline data (first_seen, last_seen) for Gantt chart."""
     return _get_drug_timeline(DB_PATH, date_filter_id, chart_type, directory, trust)
+
+
+def get_dosing_distribution(
+    date_filter_id: str = "all_6mo",
+    chart_type: str = "directory",
+    directory: Optional[str] = None,
+    trust: Optional[str] = None,
+) -> list[dict]:
+    """Average administered dose counts per drug."""
+    return _get_dosing_distribution(DB_PATH, date_filter_id, chart_type, directory, trust)