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-0.6.0.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

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

ddqa-0.6.0-py3-none-any.whl (401.5 kB view details)

Uploaded Python 3

File details

Details for the file ddqa-0.6.0.tar.gz.

File metadata

  • Download URL: ddqa-0.6.0.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ddqa-0.6.0.tar.gz
Algorithm Hash digest
SHA256 a3ff3d12f56e83c23552743ac4f2ef55faa47d035943ef2fe32cdabdaba79a9c
MD5 27719bf6296cad55cd65c43f4c0c4d14
BLAKE2b-256 787b123f62cea2ea8a9bae9445737c995f37f69a8791adcd90c9f7bed45ad1ed

See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.6.0.tar.gz:

Publisher: build.yml on DataDog/ddqa

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ddqa-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: ddqa-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 401.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ddqa-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dcd8cc65b6f4ac691b66df5b80cbcba4521355b4f389669aee7493f8943d7bdb
MD5 7a492b017075d95216fc362388677eaa
BLAKE2b-256 c2ee38095e4ff3686485be29f0271e67e51371e222837ca25e63d55e532ada23

See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.6.0-py3-none-any.whl:

Publisher: build.yml on DataDog/ddqa

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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