Skip to main content

Datadog's QA manager for releases of GitHub repositories

Project description

Datadog QA

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-0.3.1.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

ddqa-0.3.1-py3-none-any.whl (392.9 kB view details)

Uploaded Python 3

File details

Details for the file ddqa-0.3.1.tar.gz.

File metadata

  • Download URL: ddqa-0.3.1.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for ddqa-0.3.1.tar.gz
Algorithm Hash digest
SHA256 9a467bc9c0055c0f70bd9e0158498ddc065250d3a62c29312c8b927c976f47d6
MD5 abe9b2fa3a618ae9f5aeff5980a4d925
BLAKE2b-256 5e2e6ab636010bf08ec9bf1fcfc7d5d5b67eee7dd719ef1f1634d8fc8fdbcdd6

See more details on using hashes here.

Provenance

File details

Details for the file ddqa-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: ddqa-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 392.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for ddqa-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8af1b9feec4a90abe4fa32b74bb3698ba9670fdfdec9a5f60403f228a7dbff61
MD5 85a8f72235128f01e7e3e8702bceae23
BLAKE2b-256 808acec8cbb66e12747ff7e9a052b32c8b2ff4c6f1aabd67931030de480e04f3

See more details on using hashes here.

Provenance

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