Validator for data files in the SAFE data submission format.
The safedata_validator package
This package provides methods to validate XLSX files containing formatted data and metadata using the SAFE Project data format.
See the main documentation for a detailed description and usage:
The rest of this document describes the project development and building structure.
Installing the development version
Testing the command line interface requires the package to be installed, but this is conveniently done in 'editable' mode, where it is always looking at the current state of the repo directory.
pip install -e .
At present, the package is tested by running
safedata_validate to check against a set of valid and bad input XLSX files. The code will move towards using the
pytest framework, but at the moment is not structured to do this well.
Although the package is registered with Travis CI, at the moment, there is no testing to meaningfully fail.
Releasing a new version
The repository uses the
git flow framework for releasing versions. When the
develop branch contains a version of the code to be released as a new version,
git flow release start x.y.z is used to start a release branch. When that has passed testing, the command
git flow release finish x.y.z creates a new tagged version on the
Note that the
master branch should only be used for new releases.
To publish a new version, first create the source distribution and a binary.
# Create distribution python setup.py sdist bdist_wheel
If the distribution is to be tested locally, then the following command can be used to install the source distribution:
pip install safedata_validator --no-cache-dir --no-index --find-links dist/safedata_validator-x.y.z.tar.gz
--find-links options stop
pip from using the web package index and point to the local distribution. The
--no-cache-dir is vital as
pip will cache the installed package (probably in
/tmp/) and unless the version number changes will just keep using that cache. So, in development, this flag is needed to keep
pip using the actual local distribution and not the outdated cached version.
Publishing a new version
Versions are published to PyPi using
twine. As a first step, the new package is published to the PyPi test site, giving a chance to check the package upload before committing it to the live PyPi archive.
# Install twine if you don't have it pip install twine # Build source dist and binary python setup.py sdist bdist_wheel # Upload just the new versions to the Test Pypi site and check it out twine upload -r testpypi dist/safedata_validator-x.y.z* # Upload to the real PyPi site. twine upload -r pypi dist/safedata_validator-x.y.z*
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