spatiafi 1.1.3

Python library for interacting with the SpatiaFi API

Python SpatiaFi API

Python library for interacting with the SpatiaFi API.

Also included is gdal-auth which is a CLI tool to help with GCP authentication for GDAL.

Quickstart

Install the Package

pip install spatiafi

Get Authenticated Session

from spatiafi import get_session

session = get_session()

Get help with gdal-auth

gdal-auth --help

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Development

Use a Virtual Environment

Development should be done in a virtual environment. It is recommended to use the virtual environment manager built into PyCharm. To create a new virtual environment:

• Open the project in PyCharm and select File > Settings > Project: spfi-api > Python Interpreter.
• In the top right corner of the window, click the gear icon and select Add Interpreter > Add Local Interpreter...

Mark src as a Source Root

In PyCharm, mark the src folder as a source root. This will allow you to import modules from the src folder without using relative imports. Right-click on the src folder and select Mark Directory as > Sources Root.

Bootstrap the Development Environment

Run ./scripts/bootstrap_dev.sh to install the package and development dependencies.

This will also set up access to our private PyPI server, generate the first requirements.txt (if required), and install pre-commit hooks.

Protip: This script can be run at any time if you're afraid you've messed up your environment.

Manage Dependencies in setup.cfg

Dependencies are managed in setup.cfg using the install_requires and extras_require sections.

To add a new dependency:

1. Install the package in the virtual environment with pip install <package_name> (Hint: use the terminal built in to PyCharm)
2. Run pip show <package_name> to get the package name and version
3. Add the package name and version to setup.cfg in the install_requires section. Use the compatible release syntax package_name ~=version.

DO NOT add the package to the requirements.txt file. This file is automatically generated by scripts/gen_requirements.sh.

If the dependency is only needed for development, add it to the dev section of extras_require in setup.cfg.

Building Docker Images Locally

tl;dr: run ./scripts/build_docker.sh.

We need to inject a GCP access token into the Docker build to access private PyPI packages. This requires using BuildKit (enabled by default in recent versions of Docker), and passing the token as a build argument.

pre-commit Hooks

This project uses pre-commit to run a series of checks before each git commit. To install the pre-commit hooks, run pre-commit install in the virtual environment. (This is done automatically by ./scripts/bootstrap_dev.sh)

To format all your code manually, run pre-commit run --all-files.

Note: If your code does not pass the pre-commit checks, automatic builds may fail.

Use pip-sync to Update Dependencies

To update local dependencies, run pip-sync in the virtual environment. This will make sure your virtual environment is in sync with the requirements.txt file, including uninstalling any packages that are not in the requirements.txt file.

Versions

The project uses semantic versioning.

Package versions are automatically generated from git tags. Create your first tag with git tag 0.1.0 and push it with git push --tags

Installation

tl;dr: ./scripts/install_package.sh

For development, it is recommended to install the package in editable mode with pip install -e .[dev].