zhongjiajie commented on issue #6881: [AIRFLOW-6326] Sort cli commands and arg URL: https://github.com/apache/airflow/pull/6881#issuecomment-570850316 > What do you think about not ignoring leading dash (key= lambda d: d.lstrip('-'))? I think maybe we should keep the dash, when we use single is just the flag on open or close of some function, but double dash mean want to get some parameter from command line. IMO their different, and I think we should sort them separate ```py usage: airflow tasks run [-h] [--cfg_path CFG_PATH] [--pool POOL] [--ship_dag] [-A] [-f] [-i] [-I] [-int] [-l] [-m] [-p PICKLE] [-sd SUBDIR] dag_id task_id execution_date positional arguments: dag_id The id of the dag task_id The id of the task execution_date The execution date of the DAG optional arguments: -h, --help show this help message and exit --cfg_path CFG_PATH Path to config file to use instead of airflow.cfg --pool POOL Resource pool to use --ship_dag Pickles (serializes) the DAG and ships it to the worker -A, --ignore_all_dependencies Ignores all non-critical dependencies, including ignore_ti_state and ignore_task_deps -f, --force Ignore previous task instance state, rerun regardless if task already succeeded/failed -i, --ignore_dependencies Ignore task-specific dependencies, e.g. upstream, depends_on_past, and retry delay dependencies -I, --ignore_depends_on_past Ignore depends_on_past dependencies (but respect upstream dependencies) -int, --interactive Do not capture standard output and error streams (useful for interactive debugging) -l, --local Run the task using the LocalExecutor -m, --mark_success Mark jobs as succeeded without running them -p PICKLE, --pickle PICKLE Serialized pickle object of the entire dag (used internally) -sd SUBDIR, --subdir SUBDIR File location or directory from which to look for the dag. Defaults to '[AIRFLOW_HOME]/dags' where [AIRFLOW_HOME] is the value you set for 'AIRFLOW_HOME' config you set in 'airflow.cfg' ``` I think above is better than below ```py usage: airflow tasks run [-h] [-A] [--cfg_path CFG_PATH] [-f] [-i] [-I] [-int] [-l] [-m] [-p PICKLE] [--pool POOL] [-sd SUBDIR] [--ship_dag] dag_id task_id execution_date positional arguments: dag_id The id of the dag task_id The id of the task execution_date The execution date of the DAG optional arguments: -h, --help show this help message and exit -A, --ignore_all_dependencies Ignores all non-critical dependencies, including ignore_ti_state and ignore_task_deps --cfg_path CFG_PATH Path to config file to use instead of airflow.cfg -f, --force Ignore previous task instance state, rerun regardless if task already succeeded/failed -i, --ignore_dependencies Ignore task-specific dependencies, e.g. upstream, depends_on_past, and retry delay dependencies -I, --ignore_depends_on_past Ignore depends_on_past dependencies (but respect upstream dependencies) -int, --interactive Do not capture standard output and error streams (useful for interactive debugging) -l, --local Run the task using the LocalExecutor -m, --mark_success Mark jobs as succeeded without running them -p PICKLE, --pickle PICKLE Serialized pickle object of the entire dag (used internally) --pool POOL Resource pool to use -sd SUBDIR, --subdir SUBDIR File location or directory from which to look for the dag. Defaults to '[AIRFLOW_HOME]/dags' where [AIRFLOW_HOME] is the value you set for 'AIRFLOW_HOME' config you set in 'airflow.cfg' --ship_dag Pickles (serializes) the DAG and ships it to the worker ``` what do you think? @mik-laj
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
