gfw-common
Common place for GFW reusable Python components.
Introduction
The following table shows a summary of the current supported features:
| Module/Package | Description |
|---|---|
| gfw.common.beam | Common utilities and wrappers for Apache Beam pipelines. |
| gfw.common.cli | Lightweight framework around argparse for building CLIs more easily. |
| gfw.common.bigquery | Common utilities and wrappers for BigQuery interactions. |
| gfw.common.datetime | Simple helper functions around stdlib datetime module. |
| gfw.common.decorators.py | Basic function decorators. |
| gfw.common.dictionaries.py | Simple helper functions for dictionary manipulation. |
| gfw.common.io.py | Basic IO functions. |
| gfw.common.iterables.py | Iterables utilities. |
| gfw.common.logging.py | Basic logging configuration. |
| gfw.common.serialization.py | Basic serialization utilities. |
For more information and API reference, check the documentation pages.
Installation
The package offers extras to avoid installing unnecessary dependencies:
beam: includes dependencies for thegfw.common.beampackage.bq: includes dependencies for BigQuery utilities.
For a default installation without extras, run:
pip install gfw-common
To install all extras, run:
pip install gfw-common[bq,beam]
Usage
You can see examples in the examples folder.
How to Contribute
Preparing the environment
First, clone the repository.
git clone https://github.com/GlobalFishingWatch/gfw-common.git
Install uv for faster installs:
./install-uv.sh
Create virtual environment and activate it:
make venv
source .venv/bin/activate
Install pre-commit hooks for local development:
make install-pre-commit
Install dependencies and package in editable mode for local development:
make install
Make sure you can run unit tests:
make test
Development Workflow
Regarding the git workflow, we follow GitHub Flow. See GITHUB-FLOW.md for a quick summary.
Try to write good commit messages. See How to Write a Git Commit Message guide for details.
The pre-commit hooks will take care of validating your code before a commit
in terms of PEP8 standards, type-checking, miss-pellings, missing documentation, etc.
If you want/need to do it manually, you have commands in the Makefile.
To see options, type make.
How to Release
Creating a tag will automatically trigger a GitHub Action (release.yaml) to publish the package to PyPI.
The tag must match the version declared in pyproject.toml; this will be validated by the action.
The tag name must follow the format vX.Y.Z.
[!NOTE] In this context, X, Y and Z refer to MAJOR, MINOR and PATCH of Semantic Versioning.
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