Implement error handling for database query in make_targets_yf.py

Enhanced the data retrieval process from 'price_table' by wrapping the pd.read_sql query in a try-except block. This change aims to improve the robustness of the script against potential runtime errors during the database query execution. Additionally, a pylint directive was added to ignore the broad exception warning, acknowledging the intentional catch-all exception handling approach.

make_targets_yf.py

@@ -23,7 +23,11 @@
 
 CONN = sqlite3.connect("price.sqlite")
 DATE = (datetime.now() - timedelta(days=365 * 2)).strftime("%Y-%m-%d")
-ALL_DATA = pd.read_sql(f"SELECT * FROM price_table where Date>='{DATE}'", CONN)
+try:
+    ALL_DATA = pd.read_sql(f"SELECT * FROM price_table where Date>='{DATE}'", CONN)
+# pylint: disable=broad-exception-caught
+except Exception:
+    pass
 # OLD_DATA = pickle.load(open("df_20240228.pkl", "rb"))