Pylint plugin for static code analysis on Airflow code.
Installation:
pip install pylint-airflowUsage:
pylint --load-plugins=pylint_airflow [your_file]This plugin runs on Python 3.6 and higher.
The Pylint-Airflow codes follow the structure {I,C,R,W,E,F}83{0-9}{0-9}, where:
- The characters show:
I= InfoC= ConventionR= RefactorW= WarningE= ErrorF= Fatal
83is the base id (see all here https://github.com/PyCQA/pylint/blob/master/pylint/checkers/__init__.py){0-9}{0-9}is any number 00-99
The current codes are:
| Code | Symbol | Description |
|---|---|---|
| C8300 | different-operator-varname-taskid | For consistency assign the same variable name and task_id to operators. |
| C8301 | match-callable-taskid | For consistency name the callable function '_[task_id]', e.g. PythonOperator(task_id='mytask', python_callable=_mytask). |
| C8302 | mixed-dependency-directions | For consistency don't mix directions in a single statement, instead split over multiple statements. |
| C8303 | task-no-dependencies | Sometimes a task without any dependency is desired, however often it is the result of a forgotten dependency. |
| C8304 | task-context-argname | Indicate you expect Airflow task context variables in the **kwargs argument by renaming to **context. |
| C8305 | task-context-separate-arg | To avoid unpacking kwargs from the Airflow task context in a function, you can set the needed variables as arguments in the function. |
| C8306 | match-dagid-filename | For consistency match the DAG filename with the dag_id. |
| R8300 | unused-xcom | Return values from a python_callable function or execute() method are automatically pushed as XCom. |
| W8300 | basehook-top-level | Airflow executes DAG scripts periodically and anything at the top level of a script is executed. Therefore, move BaseHook calls into functions/hooks/operators. |
| E8300 | duplicate-dag-name | DAG name should be unique. |
| E8301 | duplicate-task-name | Task name within a DAG should be unique. |
| E8302 | duplicate-dependency | Task dependencies can be defined only once. |
| E8303 | dag-with-cycles | A DAG is acyclic and cannot contain cycles. |
| E8304 | task-no-dag | A task must know a DAG instance to run. |
Documentation is available on Read the Docs.
Suggestions for more checks are always welcome, please create an issue on GitHub. Read CONTRIBUTING.rst for more details.