Module qc data tools
Project description
module QC data tools v1.0.17
This project contains the modules needed to write/read the data files used in the module QC flow. This project is to be added as a submodule in other projects.
Installation
Note that please use the latest python version. Python3.7 is the minimum requirement for developers.
via clone
First clone the project:
git clone https://gitlab.cern.ch/atlas-itk/pixel/module/module-qc-data-tools.git
Upon a successful checkout, cd to the new module-qc-data-tools directory and
run the following to install the necessary software:
$ python -m venv venv
$ source venv/bin/activate
$ python -m pip install --upgrade pip
$ python -m pip install -e .
via pip
$ python -m venv venv
$ source venv/bin/activate
$ python -m pip install -U pip module-qc-data-tools==1.0.17
Developer
versioning
In case you need to tag the version of the code, you need to have either hatch
or pipx installed.
- Activate python environment, e.g.
source venv/bin/activate. - Run
python -m pip install hatchorpython -m pip install pipx.
You can bump the version via:
$ pipx run hatch run tag x.y.z
# or
$ hatch run tag x.y.z
where x.y.z is the new version to use. This should be run from the default
branch (main / master) as this will create a commit and tag, and push for
you. So make sure you have the ability to push directly to the default branch.
Release candidates can be bumped as e.g.:
$ hatch run tag x.y.zrc0
pre-commit
Install pre-commit to avoid CI failure. Once pre-commit is installed, a git hook script will be run to identify simple issues before submission to code review.
Instruction for installing pre-commit in a python environment:
- Activate python environment, e.g.
source venv/bin/activate. - Run
python -m pip install pre-commit. - Run
pre-commit installto install the hooks in.pre-commit-config.yaml.
After installing pre-commit, .pre-commit-config.yaml will be run every time
git commit is done. Redo git add and git commit, if the pre-commit script
changes any files.
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