added debug mechanism

main.py

@@ -683,6 +683,9 @@ def update_chart(n_clicks,
     # TODO: replace with logic that uses the form inputs
     # For now, simply return the same figure when "Calculate" is clicked.
 
+    t0 = time.time()
+    debug = [f"run={run_id} click={n_clicks}"]
+
     df = pd.DataFrame()
     df['CASRN'] = soluteData['CASRN'].to_numpy()
 
@@ -715,8 +718,13 @@ def update_chart(n_clicks,
         Iterations = float(c1_iter)
         Lbath = float(c1_volume) / float(surface_area)
 
-        medians, lowers, uppers = ExtractMonteCarlo(soluteData, Solvent_PI, w, ExtractionT, Polymer_Tg, Solvent_Name, Solvent_MW,
+        try:
+            medians, lowers, uppers = ExtractMonteCarlo(soluteData, Solvent_PI, w, ExtractionT, Polymer_Tg, Solvent_Name, Solvent_MW,
                                                     ExtractionTime, Swell, Iterations, CHRIS_category, L, Lbath, N)
+        except Exception:
+            debug.append("c1 FAILED")
+            debug.append(traceback.format_exc())
+            return no_update, "\n".join(debug)
 
     df['Condition 1'] = medians
     df['Cond1_err_plus'] = uppers-medians
@@ -749,15 +757,9 @@ def update_chart(n_clicks,
     df['Cond2_err_plus'] = uppers - medians
     df['Cond2_err_minus'] = medians - lowers
 
-    t0 = time.time()
-    try:
-        # your current code
-        fig = build_figure(df)
-        return fig, f"OK in {time.time() - t0:.2f}s"
-    except Exception:
-        return no_update, traceback.format_exc()
-
-    #return build_figure(df)
+    fig = build_figure(df)
+    debug.append(f"fig ok total {time.time() - t0:.2f}s")
+    return fig, "\n".join(debug)
 
 def ConservativeMonteCarlo(soluteData, CHRIS_category, L, time, N):