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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


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Source Distribution

ddqa-0.7.0.tar.gz (1.6 MB view details)

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Built Distribution

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ddqa-0.7.0-py3-none-any.whl (401.6 kB view details)

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File details

Details for the file ddqa-0.7.0.tar.gz.

File metadata

  • Download URL: ddqa-0.7.0.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-0.7.0.tar.gz
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See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.7.0.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-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: ddqa-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 401.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ddqa-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 07633a38eabdb05645718ad9582e008fd8a598f4caa46a427d73e31775aee6d4
MD5 9b4bd3985d7980750541f4e0b58c1308
BLAKE2b-256 7687c72d24495ae1495e88d92400b156b3b0c6c5df5c3451e2d57cf1541c2670

See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.7.0-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.

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