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Contributing guidelines

One-time configuration

The steps in this section only ever need to be done once on any particular system.

For Google Cloud configuration:

  1. Install Google Cloud SDK: https://cloud.google.com/sdk/docs/install.

  2. Log in to your work Google Account: run gcloud auth login and follow instructions.

  3. Obtain Google application credentials: run gcloud auth application-default login and follow instructions.

Check that you have the make utility installed, and if not (which is unlikely), install it using your system package manager.

Java support

Check that you have java installed. To be able to use all features including hail support use java 11 (for handling multiple java versions, consider using sdkman).

Environment configuration

Run make setup-dev to install/update the necessary packages (including required python version for development) and activate the development environment. You need to do it just once.

It is recommended to use VS Code as an IDE for development.

How to create gentropy step

All gentropy steps can be invoked after successful environment configuration by running

uv run gentropy step=<step_name>
  1. Create a new step config in the src/gentropy/config.py that inherits from StepConfig class.

  2. Register new step configuration to ConfigStore.

  3. Create a step class that holds the business logic in new file in the src/gentropy/{your_step_name}.py.

Contributing checklist

When making changes, and especially when implementing a new module or feature, it's essential to ensure that all relevant sections of the code base are modified.

  • Run make check. This will run the linter and formatter to ensure that the code is compliant with the project conventions.
  • Develop unit tests for your code and run make test. This will run all unit tests in the repository, including the examples appended in the docstrings of some methods.
  • Update the configuration if necessary.
  • Update the documentation and check it with make build-documentation. This will start a local server to browse it (URL will be printed, usually http://127.0.0.1:8000/)

For more details on each of these steps, see the sections below.

Documentation

  • If during development you had a question which wasn't covered in the documentation, and someone explained it to you, add it to the documentation. The same applies if you encountered any instructions in the documentation which were obsolete or incorrect.
  • Documentation autogeneration expressions start with :::. They will automatically generate sections of the documentation based on class and method docstrings. Be sure to update them for:
  • Datasource main page, for example: docs/python_api/datasources/finngen/_finngen.md
  • Dataset definitions, for example: docs/python_api/datasources/finngen/study_index.md
  • Step definition, for example: docs/python_api/steps/finngen_sumstat_preprocess.md

Configuration

  • step default configuration in the src/gentropy/config/ StepConfig derived classes.

Classes

  • Datasource init, for example: src/gentropy/datasource/finngen/__init__.py
  • Dataset classes, for example: src/gentropy/datasource/finngen/study_index.pyFinnGenStudyIndex
  • Step main running class, for example: src/gentropy/finngen_sumstat_preprocess.py

Tests

  • Test study fixture in tests/conftest.py, for example: mock_study_index_finngen in that module
  • Test sample data, for example: tests/gentropy/data_samples/finngen_studies_sample.json
  • Test definition, for example: tests/dataset/test_study_index.pytest_study_index_finngen_creation)

Airflow dags

Support for python versions

As of version 2.1.X gentropy supports multiple python versions. To ensure compatibility with all supported versions, unit tests are run for each of the minor python release from 3.10 to 3.12. Make sure your changes are compatible with all supported versions.

Development process

The development follows simplified Git Flow process that includes usage of

  • dev (development branch)
  • feature branches
  • main (production branch)

The development starts with creating new feature branch based on the dev branch. Once the feature is ready, the Pull Request for the dev branch is created and CI/CD Checks are performed to ensure that the code is compliant with the project conventions. Once the PR is approved, the feature branch is merged into the dev branch.

Development releases

One can create the dev release tagged by vX.Y.Z-dev.V tag. This release will not trigger the CI/CD pipeline to publish the package to the PyPi repository. The release is done by triggering the Release GitHub action.

Production releases

Once per week, the Trigger PR for release github action creates a Pull Request from dev to main branch, when the PR is approved, the Release GitHub action is triggered to create a production release tagged by vX.Y.Z tag. This release triggers the CI/CD pipeline to publish the package to the TestPyPi repository. If it is successful, then the actual deployment to the PyPI repository is done. The deployment to the PyPi repository must be verified by the gentropy maintainer.

Below you can find a simplified diagram of the development process.

development process