Update same msg

data.py

@@ -127,10 +127,10 @@ def get_distant_data() -> tuple[pd.DataFrame, str]:
     return filtered_joined, latest_update_msg
 
 
-def get_sample_data() -> pd.DataFrame:
+def get_sample_data() -> tuple[pd.DataFrame, str]:
     # Retrieve sample dataframes
-    df_amd = read_one_dataframe("sample_amd.json", "amd")
-    df_nvidia = read_one_dataframe("sample_nvidia.json", "nvidia")
+    df_amd, _ = read_one_dataframe("sample_amd.json", "amd")
+    df_nvidia, _ = read_one_dataframe("sample_nvidia.json", "nvidia")
     # Join both dataframes
     joined = df_amd.join(df_nvidia, rsuffix="_nvidia", lsuffix="_amd", how="outer")
     joined = joined[KEYS_TO_KEEP]
@@ -140,7 +140,7 @@ def get_sample_data() -> pd.DataFrame:
     filtered_joined = joined[joined.index.str.lower().isin(important_models_lower)]
     # Prefix all model names with "sample_"
     filtered_joined.index = "sample_" + filtered_joined.index
-    return filtered_joined
+    return filtered_joined, "sample data was loaded"
 
 def safe_extract(row: pd.DataFrame, key: str) -> int:
     return int(row.get(key, 0)) if pd.notna(row.get(key, 0)) else 0
@@ -201,7 +201,8 @@ class CIResults:
                 "Falling back on sample data."
             ]
             logger.error("\n".join(error_msg))
-            new_df = get_sample_data()
+            new_df, latest_update_msg = get_sample_data()
+            self.latest_update_msg = latest_update_msg
         # Update attributes
         self.df = new_df
         self.available_models = new_df.index.tolist()