ctao-qualpipe 0.2.1

Quality Pipeline, subsystem of DPPS-CTAO

QualPipe

QualPipe is a Python-based automation tool for the CTAO data quality evaluations. It leverages the ctapipe library to process telescope monitoring data and applies configurable quality criteria to ensure that the collected data meets desired standards.

Features

• Define and apply quality checks to monitoring data based on configuration files.
• Modular and extensible framework for describing and validating data.
• Supports processing with telescope-specific criteria.
• YAML configuration for easy adaptability.

Installation instructions

The package is under active development. To install QualPipe package we recommend to create and activate an isolated virtual environment with Python >= 3.10 and ctapipe. This can be achieved via conda or mamba commands:

mamba create -n qualpipe -c conda-forge python==3.12 ctapipe
mamba activate qualpipe

Next, follow the installation instructions for users or for developers.

Installation for users

QualPipe has not been published on PyPi yet, but it can be installed using pip:

pip install git+https://gitlab.cta-observatory.org/cta-computing/dpps/qualpipe/qualpipe

Installation for developers

First, clone the source code from GitLab:

git clone https://gitlab.cta-observatory.org/cta-computing/dpps/qualpipe/qualpipe.git
cd qualpipe

Then perform an editable installation with pip to include documentation and testing dependencies:

pip install -e .[all]

We are using pre-commit, code-spell and ruff tools for automatic adherence to the code style. To enforce running these tools whenever you make a commit, setup the pre-commit hook executing:

pre-commit install

The pre-commit hook will then execute the tools with the same settings as when a merge request is checked on GitLab, and if any problems are reported the commit will be rejected. You then have to fix the reported issues before tying to commit again.

License

This project is licensed under the BSD 3-Clause License. See the LICENSE file for details.