Skip to main content

Datadog's QA manager for releases of GitHub repositories

Project description

Datadog QA

example screenshot

CI/CD CI - Test CD - Build
Docs Docs - Build Docs - Publish
Package PyPI - Version PyPI - Downloads PyPI - Python Version
Meta Hatch project linting - Ruff code style - Black types - Mypy License - MIT

DDQA is a tool for users of Jira to perform QA of anticipated releases of code on GitHub.

It works by finding test candidates between two Git references and translates each pull request or direct commit into a Jira issue per designated GitHub team, assigned to a semi-randomly chosen member of that team.

Features

  • Issue creation is completely configurable by each team, with overrides available at runtime
  • Robust status tracking with optional filters
  • Providing a TUI allows for running via SSH on other machines, which is useful when there is restricted access to Git repositories

Documentation

The documentation is made with Material for MkDocs and is hosted by GitHub Pages.

License

DDQA is distributed under the terms of the MIT license.

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

ddqa-0.5.0.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

ddqa-0.5.0-py3-none-any.whl (401.2 kB view details)

Uploaded Python 3

File details

Details for the file ddqa-0.5.0.tar.gz.

File metadata

  • Download URL: ddqa-0.5.0.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for ddqa-0.5.0.tar.gz
Algorithm Hash digest
SHA256 4c99cb1641340d174e4dd46597e7661605ed69d37a83e970fd9b247a3d33ab3e
MD5 ca6a831c59729e84cbf27b0c825ca3b1
BLAKE2b-256 e90477b84f9ce3f239aaa7d007a839c7e6efa536af69379372d37c55e5faf3ce

See more details on using hashes here.

File details

Details for the file ddqa-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: ddqa-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 401.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for ddqa-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b7181b651f10ced9f06465d1e2102d382df339ea3d6c2f79d8e232575e35b814
MD5 5d819ea50b66a797c60996c085afd0d5
BLAKE2b-256 38b4dc539c64821e759d2f0a4a281260a454c6934a12655ebd9703ab68a5468b

See more details on using hashes here.

Supported by

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