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app.py

@@ -1759,11 +1759,11 @@ def _load_cluster_csv(model, min_val, threshold):
     """Return the ALL_FIELDS dataframe or None. Supports .csv.gz and .csv."""
     base = os.path.join(GRID_BASE, f"model={model}", f"min={min_val}",
                         f"t={threshold}_ALL_FIELDS")
-    print(f"[debug] _load_cluster_csv: GRID_BASE={GRID_BASE}, model={model}, min={min_val}, t={threshold}")
+    print(f"[debug] _load_cluster_csv: GRID_BASE={GRID_BASE}, model={model}, min={min_val}, t={threshold}", flush=True)
     for ext in (".csv.gz", ".csv"):
         path = base + ext
         exists = os.path.isfile(path)
-        print(f"[debug]   trying {path} -> exists={exists}")
+        print(f"[debug]   trying {path} -> exists={exists}", flush=True)
         if not exists:
             continue
         try:
@@ -1962,9 +1962,11 @@ def _distribution_figure(cdf, field_name, top_n=20):
     Input("cluster-group-filter", "value"),
 )
 def update_cluster_plot(model, min_val, threshold, field, plot_type, top_n, groups):
+    print(f"[debug] update_cluster_plot called: model={model}, min={min_val}, t={threshold}, field={field}, plot_type={plot_type}", flush=True)
     empty_fig = go.Figure()
     empty_fig.update_layout(paper_bgcolor="#ffffff", plot_bgcolor="#f9fafc")
     if not all([model, min_val, threshold, field, plot_type]):
+        print(f"[debug] early return: missing values", flush=True)
         return empty_fig, "Select all parameters above."
 
     cdf = _load_cluster_csv(model, min_val, threshold)