Metadata-Version: 2.1
Name: sentineltoolbox
Version: 0.1.1
Author: ACRI-ST
License: Apache License
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Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
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# sentineltoolbox

This repository contains the sentineltoolbox project.

Common implementations for all the processors.

## Project Structure

This project is organized as follows:

* `docs` contains the source of the `sentineltoolbox` documentation.
* `sentineltoolbox` contains the source code of the
  project's main Python package.
* `tests` contains the unit and integration tests of the `sentineltoolbox`
  project.

## Tools

The following tools are used by this project:

* `.gitlab-ci.yml`: GitLab CI pipeline including the following tools:
  * mypy: Static type checker.
  * isort: Import formatter.
  * black: Python code formatter.
  * bandit: Common security issuer.
  * flake8: Python code linter.
  * xenon: Complexity monitor.
  * Sonarqube: Quality check.
  * trivy: Scanner for vulnerabilities.
  * sphinx: Document generation.
* `pre-commit-config.yaml`: Pre-commit hooks executed on commits.
* `pyproject.toml`: Build system requirements for Python.
* `docs/conf.py`: Sphinx documentation generator configuration.

## Documentation

The `sentineltoolbox` documentation is available online at
https://DPR-ACR.pages.eopf.copernicus.eu/sentineltoolbox.

## Build

To build the Python module of the sentineltoolbox project using `wheel`, run:

``` python
pip wheel -w dist --no-deps .
```

The GitLab CI pipeline will also automatically build the package.

## Run tests

To execute the tests locally using `pytests`, run:

``` python
python -m pytest tests/
```

The GitLab CI pipeline will also automatically run the unit and
integration tests of the project.

## Packaging

The project's Python package can be uploaded into GitLab's package registry
using `twine`. Please see GitLab's project settings for the TWINE credentials
and the other environment variables:

``` python
TWINE_PASSWORD=${CI_REGISTRY_PASSWORD}
TWINE_USERNAME=${CI_REGISTRY_USER}
python -m twine upload --repository-url ${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/packages/pypi dist/*
```

The GitLab CI pipeline will also automatically publish the package to
GitLab's package registry when the pipeline is run for a tag.

## Documentation generation

The project's documentation can be generated using Sphinx. The GitLab CI
pipeline will generate and deploy the documentation when run for the
default branch. It will generate the documentation accessible through
Gitlab Pages from project's `docs` folder.

The generation of the API documentation from the Python docstrings included in
the source code is included in the documentation generation process.
