Contains Geospatial AI/ML related code
- Checkout the code.
- Create/activate your Python environment of choice.
- Install uv:
pip install uv
. - Install dependencies:
uv pip install -r pyproject.toml
. - Install dev dependencies:
uv pip install -r pyproject.toml --extra dev
. - Run
pre-commit install
to install pre-commit hooks. - Configure your editor for realtime linting:
- For VS Code:
- Set the correct Python environment for the workspace via
ctrl+shift+P
>Python: Select Interpreter
. - Install the Pylance and Ruff extensions.
- Set the correct Python environment for the workspace via
- For VS Code:
- Make changes.
- Verify linting passes
scripts/lint.sh
. - Verify tests pass
scripts/test.sh
. - Commit and push your changes.
- Note: if using Gitkraken, launch it from the terminal (with
gitkraken
) with the correct python environment activated to ensure that it can use the pre-commit hooks.
- Note: if using Gitkraken, launch it from the terminal (with
We are happy to take contributions! It is best to get in touch with the maintainers about larger features or design changes before starting the work, as it will make the process of accepting changes smoother.
Everyone who contributes code to E84 Geoai Common will be asked to sign a CLA, which is based off of the Apache CLA.
-
Download a copy of one of the following from the
docs/cla
directory in this repository:- Individual Contributor (You're using your time):
2025_1_29-E84-Geoai-Common-Open-Source-Contributor-Agreement-Individual.pdf
- Corporate Contributor (You're using company time):
2025_1_29-E84-Geoai-Common-Open-Source-Contributor-Agreement-Corporate.pdf
- Individual Contributor (You're using your time):
-
Sign the CLA -- either physically on a printout or digitally using appropriate PDF software.
-
Send the signed CLAs to Element 84 via one of the following methods:
- Emailing the document to [email protected]
- Mailing a hardcopy to:
Element 84, 210 N. Lee Street Suite 203 Alexandria, VA 22314, USA
.