Skip to main content

Quality Pipeline, subsystem of DPPS-CTAO

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ctao_qualpipe-0.2.0rc1.tar.gz (82.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ctao_qualpipe-0.2.0rc1-py3-none-any.whl (75.7 kB view details)

Uploaded Python 3

File details

Details for the file ctao_qualpipe-0.2.0rc1.tar.gz.

File metadata

  • Download URL: ctao_qualpipe-0.2.0rc1.tar.gz
  • Upload date:
  • Size: 82.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for ctao_qualpipe-0.2.0rc1.tar.gz
Algorithm Hash digest
SHA256 869ed1a01e793d1c87c1c25078045b965de15b400eaff12af1e828f2e432d8e6
MD5 ce78679c74dafe788e911d3d893e6a24
BLAKE2b-256 54c787f4d349bbe9990e15a3c9796e08d3a9c6fb61a9e9abcfa053da40802a4b

See more details on using hashes here.

File details

Details for the file ctao_qualpipe-0.2.0rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for ctao_qualpipe-0.2.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 e0883ad3a30cba92e1638e10c7afdbc747b61ee11343e3cd16196c2963e4dfe4
MD5 8d8ca5eae6d3b412e2e02cdd355023b3
BLAKE2b-256 a4c105fdc02f3145426c2023624ff2a03aaf476e9ed082290ff551cb9f48d153

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page