A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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.. _contrib_guide:
Contributor Guide
=================================
.. note::
This contributor guide is written for wrf-python v1.3.x. In the
not-too-distant future, wrf-python will undergo a significant refactoring
to remove the wrapt decorators (which don't serialize for dask), but the
concepts will remain similar to what is described in :ref:`internals`.
Introduction
-----------------------------
Thank you for your interest in contributing to the WRF-Python project.
WRF-Python is made up of a very small amount of developers, tasked with
supporting more than one project, so we rely on outside contributions
to help keep the project moving forward.
The guidelines below help to ensure that the developers and outside
collaborators remain on the same page regarding contributions.
Source Code Location
------------------------------
The source code is available on GitHub:
https://github.com/NCAR/wrf-python
To checkout the code::
git clone https://github.com/NCAR/wrf-python
Git Flow
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This project follows the GitFlow Workflow, which you can read about here if it
is new to you:
https://leanpub.com/git-flow/read
For external contributors, this isn't important, other than making you aware
that when you first clone the repository, you will be on the
**develop** branch, which is what you should use for your development.
Since you will be submitting pull requests for your contributions, you don't
really need to know much about GitFlow, other than making sure that you
are not developing off of the master branch.
Ways to Contribute
-----------------------------
Users are encouraged to contribute various ways. This includes:
- Submitting a bug report
- Submitting bug fixes
- Submitting new Fortran computational routines
- Submitting new Python computational routines
- Submitting fully wrapped computational routines
- Fixing documentation errors
- Creating new examples in the documentation (e.g. plotting examples)
Ground Rules
------------------------------
Please follow the code of conduct.
- Each pull request should be for a logical collection of changes. You can
submit multiple bug fixes in a single pull request if the bugs are related.
Otherwise, please submit seperate pull requests.
- Do not commit changes to files that are unrelated to your bug fix
(e.g. .gitignore).
- The pull request and code review process is not immediate, so please be
patient.
Submitting Bug Reports
-----------------------------
Submitting bug reports is the easiest way to contribute. You will need to
create an account on GitHub to submit a report.
1. Go to the issues page here:
https://github.com/NCAR/wrf-python/issues
2. Check to see if an issue has already been created for the problem that
you are having.
3. If an issue already exists for your problem, feel free to add any
additional information to the issue conversation.
4. If there is not an issue created yet for your problem, use the
"New Issue" button to start your new issue.
5. Please provide as much information as you can for the issue. Please supply
your version of WRF-Python you are using and which platform you are
using (e.g. conda-forge build on OSX). Supply a code snippet if you
are doing something more detailed than simply calling :meth:`wrf.getvar`.
6. If you are getting a crash (e.g. segmentation fault), we will most likely
need to see your data file if we cannot reproduce the problem here.
See :ref:`submitting_files`.
Setting Up Your Development Environment
---------------------------------------------
We recommend using the `conda <https://conda.io/en/latest/>`_
package manager for your Python environments. Our recommended setup for
contributing is:
- Install `miniconda <https://docs.conda.io/en/latest/miniconda.html>`_
- Install git on your system if it is not already there (install XCode command
line tools on a Mac or git bash on Windows)
- Login to your GitHub account and make a fork of the
`WRF-Python <https://github.com/ncar/wrf-python>`_ repository by clicking
the **Fork** button.
- Clone your fork of the WRF-Python repository (in terminal on Mac/Linux or
git shell/ GUI on Windows) in the location you'd like to keep it.
.. code::
git clone https://github.com/your-user-name/wrf-python.git
- Navigate to that folder in the terminal or in Anaconda Prompt if you're
on Windows.
.. code::
cd wrf-python
- Connect your repository to the NCAR WRF-Python repository.
.. code::
git remote add ncar https://github.com/ncar/wrf-python.git
- To create the development environment, you'll need to run the appropriate
command below for your operating system.
OSX:
.. code::
conda env create -f osx.yml
Linux:
.. code::
conda env create -f linux.yml
Win64:
.. code::
conda env create -f win64.yml
Note: For Win64, you will also need VS2015 installed on your system.
- Activate your conda environment.
.. code::
conda activate develop
- CD to the build_scripts directory.
.. code::
cd build_scripts
- Build and install WRF-Python.
OSX/Linux:
.. code::
sh gnu_omp.sh
Windows:
./win_msvc_mingw_omp.bat
- The previous step will build and install WRF-Python in to the 'develop'
environment. If you make changes and want to rebuild, uninstall WRF-Python
by running:
.. code::
pip uninstall wrf-python
Now follow the previous step to rebuild.
Pull Requests
--------------------------
In order to submit changes, you must use GitHub to issue a pull request. Your
pull requests should be made against the **develop** branch, since we are
following GitFlow for this project.