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**The outline for this document in GitHub is available at top-right corner button (with 3-dots and 3 lines).**
Setup your project
##################
1. Open your IDE or source code editor and select the option to clone the repository
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_clone.png"
alt="Cloning github fork to Pycharm">
</div>
2. Paste the repository link in the URL field and submit.
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_click_on_clone.png"
alt="Cloning github fork to Pycharm">
</div>
3. Configure the source root directories well as for ``task-sdk`` and ``devel-common``.
You also have to set "source" and "tests" root directories for each provider you want to develop (!).
This is important in Airflow 3.0 we split ``task-sdk``, ``devel-common`` and each provider to be separate
distribution - each with separate ``pyproject.toml`` file, so you need to separately
add "src" and "tests" directories for each provider you develop to be respectively
"source roots" and "test roots".
This might be improve and might be better automated in the future, but for now you need to do it
for each provider separately.
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_add_provider_sources_and_tests.png"
alt="Adding Source Root directories to Pycharm">
</div>
You also need to add ``task-sdk`` sources (and ``devel-common`` in similar way).
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_add_task-sdk_sources.png"
alt="Adding Source Root directories to Pycharm">
</div>
4. Once step 3 is done it is recommended to invalidate caches and restart Pycharm.
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_invalidate_caches.png"
alt="Invalidate caches and restart Pycharm">
</div>
Setting up debugging
####################
It requires "airflow-env" virtual environment configured locally.
1. Configuring Airflow database connection
- Airflow is by default configured to use SQLite database. Configuration can be seen on local machine
``~/airflow/airflow.cfg`` under ``sql_alchemy_conn``.
- Installing required dependency for MySQL connection in ``airflow-env`` on local machine.
.. code-block:: bash
$ pyenv activate airflow-env
$ pip install PyMySQL
- Now set ``sql_alchemy_conn = mysql+pymysql://root:@127.0.0.1:23306/airflow?charset=utf8mb4`` in file
``~/airflow/airflow.cfg`` on local machine.
2. Debugging an example DAG
- Add Interpreter to PyCharm pointing interpreter path to ``~/.pyenv/versions/airflow-env/bin/python``, which is virtual
environment ``airflow-env`` created with pyenv earlier. For adding an Interpreter go to ``File -> Setting -> Project:
airflow -> Python Interpreter``.
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_add_interpreter.png"
alt="Adding existing interpreter">
</div>
- In PyCharm IDE open airflow project, directory ``/files/dags`` of local machine is by default mounted to docker
machine when breeze airflow is started. So any DAG file present in this directory will be picked automatically by
scheduler running in docker machine and same can be seen on ``http://127.0.0.1:28080``.
- Copy any example DAG present in the ``/airflow/example_dags`` directory to ``/files/dags/``.
- Add a ``__main__`` block at the end of your DAG file to make it runnable:
.. code-block:: python
if __name__ == "__main__":
dag.test()
- Run the file.
Creating a branch
#################
1. Click on the branch symbol in the status bar
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_creating_branch_1.png"
alt="Creating a new branch">
</div>
2. Give a name to a branch and checkout
.. raw:: html
<div align="center" style="padding-bottom:10px">
<img src="images/pycharm_creating_branch_2.png"
alt="Giving a name to a branch">
</div>
Follow the `Quick start <../03_contributors_quick_start.rst>`_ for typical development tasks.