Pds Image Converter

A python module to convert PDS4 images to jpg and other quick view formats.

The public interface of the toolkit is exposed at the root level of the module, i.e.:

from pds_image_converter import convert_image

this is expected to be the most stable portion of the toolkit.

Usage

The tool is expected to be used as an imported function:

from pds_image_converter import convert_image

convert_image(in_image=input_image, output_folder="tmp_out", configfile=cfg)

with

• in_image: path to the label (xml) or data file
• output_folder: the output path for the generated image
• configfile: a path to the config file to use, or alternatively the name of one of the default configurations shipped together with this package. For example janus2quicklook will be resolved to the config file janus2quicklook.toml shipped in the configs dir of the package.

CLI

A cli (pds-image-converter) is also present but should not be used to automate the processing of files under pipelines or similar. It is mostly to support manual operation and testing of the tool.

Additional info, from package template

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Documentation: https://JANUS-JUICE.github.io/pds-image-converter

Source Code: https://github.com/JANUS-JUICE/pds-image-converter

PyPI: https://pypi.org/project/pds-image-converter/

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Installation

pip install pds-image-converter

Development

• Clone this repository
• Requirements:
  • Poetry
  • Python 3.10+
• Create a virtual environment and install the dependencies

poetry install

• Activate the virtual environment

poetry shell

Testing

pytest

Documentation

The documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published as a Github Pages page automatically as part each release.

Releasing

Manual release

Releases are done with the command, e.g. incrementing patch:

poetry run just bump patch
# also push, of course:
git push origin main --tags

this will update the changelog, commit it, and make a corresponding tag.

as the CI is not yet configured for publish on pypi it can be done by hand:

poetry publish --build

Automatic release - to be fixed

Trigger the Draft release workflow (press Run workflow). This will update the changelog & version and create a GitHub release which is in Draft state.

Find the draft release from the GitHub releases and publish it. When a release is published, it'll trigger release workflow which creates PyPI release and deploys updated documentation.

Updating with copier

To update the skeleton of the project using copier:

 pipx run copier update --defaults

Pre-commit

Pre-commit hooks run all the auto-formatting (ruff format), linters (e.g. ruff and mypy), and other quality checks to make sure the changeset is in good shape before a commit/push happens.

You can install the hooks with (runs for each commit):

pre-commit install

Or if you want them to run only for each push:

pre-commit install -t pre-push

Or if you want e.g. want to run all checks manually for all files:

pre-commit run --all-files

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This project was generated using a fork of the wolt-python-package-cookiecutter template.