Automated Processing smoke test and operations workflows

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dkistdc from gravatar.com dkistdc

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause)
  • Author: NSO / AURA
  • Requires: Python >=3.11
  • Provides-Extra: test , frozen
Classifiers
Report project as malware

Project description

codecov

This repository works in concert with dkist-processing-core and dkist-processing-common to provide workflows for the operational management and smoke testing of the Automated Processing stack.

Developer Setup

pip install -e .[test]
pip install pre-commit
pre-commit install

Deployment

Deployment is done with turtlebot and follows the process detailed in dkist-processing-core

Additionally, when a new release is ready to be built the following steps need to be taken:

1. Freezing Dependencies

A new “frozen” extra is generated by the dkist-dev-tools package. If you don’t have dkist-dev-tools installed please follow the directions from that repo.

To freeze dependencies run

ddt freeze vX.Y.Z[rcK]

Where “vX.Y.Z[rcK]” is the version about to be released.

2. Tag and Push

Once all commits are in place add a git tag that will define the released version, then push the tags up to Bitbucket:

git tag vX.Y.Z[rcK]
git push --tags origin BRANCH

In the case of an rc, BRANCH will likely be your development branch. For full releases BRANCH should be “main”.

Supported by

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