Contributing to Paricia

Thanks for taking the time to contribute to Paricia!

The following is a set of guidelines for contributing to Paricia, a Python-based hydroclimatic data management system project. The goal of these guidelines is to make the development of the project efficient and sustainable and to ensure that every commit makes it better, more readable, more robust and better documented. Please, feel free suggest changes and improvements.

Table Of Contents

Code of Conduct

How Can I Contribute?

• Reporting Bugs
• Suggesting Enhancements
• Your First Code Contribution
• Pull Requests

Styleguides

• Git Commit Messages
• Documentation Styleguide

Developer's setup

• Installing Paricia
• Tests
• Synthetic data
• Continuous integration

Code of Conduct

This project and everyone participating in it is governed by the Paricia Code of Conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to the repository Administrator.

How Can I Contribute?

Reporting Bugs

This section guides you through submitting a bug report for Paricia. Following these guidelines helps maintainers and the community understand your report

, reproduce the behavior

Figure 1: :pencil:

Figure 2: :computer:

, and find related reports

Figure 3: :computer:

.

Figure 4: :mag_right:

Before creating bug reports, please check this list (including the closed issues) as you might find out that you don't need to create one. When you are creating a bug report, please include as many details as possible.

Note: If you find a Closed issue that seems like it is the same thing that you're experiencing, open a new issue and include a link to the original issue in the body of your new one.

How Do I Submit A (Good) Bug Report?

Bugs are tracked as GitHub issues. Explain the problem and include additional details to help maintainers reproduce the problem:

• Use a clear and descriptive title for the issue to identify the problem.
• Describe the exact steps which reproduce the problem in as many details as possible. For example, start by explaining how you installed Paricia and what you where trying to do.
• Provide specific examples to demonstrate the steps. Include links to files or GitHub projects, or copy/pasteable snippets, which you use in those examples. If you're providing snippets in the issue, use Markdown code blocks.
• Describe the behavior you observed after following the steps and point out what exactly is the problem with that behavior.
• Explain which behavior you expected to see instead and why.
• If there is any error output in the temrinal, include that output with your report.

Provide more context by answering these questions:

• Did the problem start happening recently (e.g. after updating to a new version of Paricia) or was this always a problem?
• If the problem started happening recently, can you reproduce the problem in an older version of Paricia? What's the most recent version in which the problem doesn't happen? You can download older versions of Paricia from the releases page.
• Can you reliably reproduce the issue? If not, provide details about how often the problem happens and under which conditions it normally happens.

Include details about your configuration and environment:

• Which version of Paricia are you using?
• What's the name and version of the OS you're using?
• Are you running Paricia in a virtual machine? If so, which VM software are you using and which operating systems and versions are used for the host and the guest?

Suggesting Enhancements

This section guides you through submitting an enhancement suggestion for Paricia, including completely new features and minor improvements to existing functionality. Following these guidelines helps maintainers and the community understand your suggestion

and find related suggestions

Figure 5: :pencil:

.

Figure 6: :mag_right:

Before creating enhancement suggestions, please check this list (including closed issues) as you might find out that you don't need to create one. When you are creating an enhancement suggestion, please include as many details as possible.

How Do I Submit A (Good) Enhancement Suggestion?

Enhancement suggestions are tracked as GitHub issues. Create an issue on that repository and provide the following information:

• Use a clear and descriptive title for the issue to identify the suggestion.
• Provide a step-by-step description of the suggested enhancement in as many details as possible.
• Describe the current behavior and explain which behavior you expected to see instead and why.
• Explain why this enhancement would be useful to most Paricia users, maybe including some links to scientific papers showing the enhancement in action.
• List some other packages or applications where this enhancement exists.
• Specify the name and version of the OS you're using.

Your First Code Contribution

Unsure where to begin contributing to Paricia? You can start by looking through these beginner and help-wanted issues:

• Beginner issues - issues which should only require a few lines of code, and a test or two.
• Help wanted issues - issues which should be a bit more involved than beginner issues.

Pull Requests

The process described here has several goals:

• Maintain Paricia's quality
• Fix problems that are important to users
• Engage the community in working toward the best possible Paricia
• Enable a sustainable system for Paricia's maintainers to review contributions

Please follow these steps to have your contribution considered by the maintainers:

1. Describe clearly what is the purpose of the pull request. Refer to the relevant issues on Bugs or Enhancements. In general, an issue should always be open prior to a pull request, to discuss its contents with a maintainer and make sure it makes sense for Paricia. If the pull request is a work in progress that will take some time to be ready but still you want to discuss it with the community, open a draft pull request.
2. Include relevant unit tests and integration tests, where needed. Paricia's test suite is quite limited at the moment. We are working to improve this and tests as many features as possible, so any new addition to the code must come with its own set of tests to avoid going backwards in this matter.
3. For new features and enhancements, include documentation and examples. Both in the code, as docstrings in classes, functions and modules, and as proper documentation describing how to use the new feature.
4. Follow the styleguides
5. After you submit your pull request, verify that all status checks are passing
   What if the status checks are failing?

   If a status check is failing, and you believe that the failure is unrelated to your change, please leave a comment on the pull request explaining why you believe the failure is unrelated. A maintainer will re-run the status check for you. If we conclude that the failure was a false positive, then we will open an issue to track that problem with our status check suite.

While the prerequisites above must be satisfied prior to having your pull request reviewed, the reviewer(s) may ask you to complete additional design work, tests, or other changes before your pull request can be ultimately accepted.

Styleguides

Git Commit Messages

• Use the present tense ("Add feature" not "Added feature")
• Use the imperative mood ("Move cursor to..." not "Moves cursor to...")
• Limit the first line to 72 characters or less
• Reference issues and pull requests liberally after the first line
• When only changing documentation, include [ci skip] in the commit title
• Consider starting the commit message with an applicable emoji:
• :art: when improving the format/structure of the code
• :racehorse: when improving performance
• :non-potable_water: when plugging memory leaks
• :memo: when writing docs
• :penguin: when fixing something on Linux
• :apple: when fixing something on macOS
• :checkered_flag: when fixing something on Windows
• :bug: when fixing a bug
• :fire: when removing code or files
• :green_heart: when fixing the CI build
• :white_check_mark: when adding tests
• :lock: when dealing with security
• :arrow_up: when upgrading dependencies
• :arrow_down: when downgrading dependencies
• :shirt: when removing linter warnings

Documentation Styleguide

• Use Markdown.
• Reference methods and classes in markdown with the custom {} notation:
• Reference classes with {ClassName}
• Reference instance methods with {ClassName::methodName}
• Reference class methods with {ClassName.methodName}

Developer's setup

Installing Paricia

If you want to install Paricia from scratch, follow the steps below:

• Run docker-compose up --build (requires Docker to be running)
• After downloading and building the images, Paricia should now be available via a web browser in http://localhost:8000/.
• Create admin user running python manage.py createsuperuser.
• If you want to load initial data (variables, units, stations...):
• In a separate terminal run docker exec -it <name_of_docker_container> bash e.g. docker exec -it paricia-web-1 bash to start a bash session in the container. You can find the name of the container in the Docker Desktop GUI, or by running docker container ls.
• Run python manage.py shell < utilities/load_initial_data.py.

Project structure

In addition to the applications containing the actual functionality, and described in the documentation, the project file structure has other directories that are of interest only for developers.

• The top-level directory contains various config files and directories for git, github, docker and pip.
• Each django app is in a subdirectory and djangomain contains the main django settings, views and urls.
• The static directory contains the static files for the project.
• The templates directory contains the templates for the project.
• The utilities directory contains helper functions for the project.
• The tests directory contains all unit tests for the project.

Tests

The tests are run with python manage.py test from inside the docker container.

For that to work, development-related dependencies needs to be installed. To do that, get into the container (see instructions at the top) and run:

python -m pip install -r requirements-dev.txt

Synthetic data

Synthetic data can be added to the database for benchmarking purposes using one of the scenarios in utilities/benchmarking or creating one of your own. To do so:

• Populate the database with some initial data for the Station, Variable and all the required models (see the Getting Started section).
• Install the development dependencies (read the Tests section)
• Run your desired synthetic data scenario.

If you run one of the built in ones, you should see a progressbar for the process and, if you log in into the Django Admin of Paricia (http://localhost:8000/admin), then you will see the records for the Measurements model increasing.

Continuous integration

Pre-commit hooks are set up to run code quality checks (isort and black) before committing. To run these locally, you will need to pip install pre-commit then pre-commit install. Now, quality assurance tools will be run automatically with every commit.

Github workflows are set up to run the pre-commit actions and the tests automatically on every push action.