The above is how I have defined the input values in my config yaml file. with TaskGroup(group_id='full_data_refresh') as full_data_refresh: for item in itertools.product(dag_config['src_config_id'],dag_config['ctry_config_id']): config_run_ids = f'{item}' exec_funs_mti_all_functions_run = PostgresOperator( task_id= f'exec_funs_mti_all_functions_run{config_run_ids}', postgres_conn_id='DDL_CONN_WRT_CSB', sql=f'select funs_mti_all_functions_run{config_run_ids}';' ) This is the code I have used to run my sql function: funs_mti_all_functions_run(src_config_id text,ctry_config_id text) So, I want the task_id : f'exec_funs_mti_all_functions_run_{config_run_ids}' to run for every combination of src_config_id and ctry_config_id which is: select funs_mti_all_functions_run('1','1'); select funs_mti_all_functions_run('1','2'); select funs_mti_all_functions_run('1','6'); select funs_mti_all_functions_run('1','10'); The implementation of the python file for the DAG definition although errors out with the message: "airflow.exceptions.AirflowException: The key "exec_funs_mti_all_functions_run('1', '1')" has to be made of alphanumeric characters, dashes, dots and underscores exclusively" Can someone help here? Continue reading...