Update app.py

app.py

@@ -46,40 +46,19 @@ def safe_read_csv(filename, nrows=None):
         except Exception:
             return pd.DataFrame()
 
-
 def run_notebook(nb_name: str) -> str:
-    ensure_dirs()
-    nb_in = BASE_DIR / nb_name
-    if not nb_in.exists():
-        return f"ERROR: {nb_name} not found."
-
-    nb_out = RUNS_DIR / f"run_{stamp()}_{nb_name}"
-    pm.execute_notebook(
-        input_path=str(nb_in),
-        output_path=str(nb_out),
-        cwd=str(BASE_DIR),
-        log_output=True,
-        progress_bar=False,
-        execution_timeout=PAPERMILL_TIMEOUT,
-    )
-    return f"Executed {nb_name}"
-
+    return f"Notebook '{nb_name}' execution disabled in this deployed app."
 
 def run_datacreation():
-    try:
-        log = run_notebook(NB1)
-        csvs = sorted([f.name for f in BASE_DIR.glob("*.csv")])
-        return f"OK - {log}\n\nGenerated CSV files:\n" + "\n".join(f"- {c}" for c in csvs)
-    except Exception as e:
-        return f"FAILED - {e}\n\n{traceback.format_exc()[-2000:]}"
-
+    csvs = sorted([f.name for f in BASE_DIR.glob("*.csv")])
+    return (
+        "Data already generated and available.\n\n"
+        "Available CSV files:\n" +
+        "\n".join(f"- {c}" for c in csvs)
+    )
 
 def run_pythonanalysis():
-    try:
-        log = run_notebook(NB2)
-        return f"OK - {log}\n\nAnalysis notebook completed."
-    except Exception as e:
-        return f"FAILED - {e}\n\n{traceback.format_exc()[-2000:]}"
+    return "Analysis already completed. See Dashboard tab for results."
 
 
 def run_full_pipeline():