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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


Download files

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Source Distribution

ddqa-0.7.1.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

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ddqa-0.7.1-py3-none-any.whl (401.6 kB view details)

Uploaded Python 3

File details

Details for the file ddqa-0.7.1.tar.gz.

File metadata

  • Download URL: ddqa-0.7.1.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-0.7.1.tar.gz
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BLAKE2b-256 38689f8f2709989c2039d48dcd11119726301b2acf514ac03054fe2201f242de

See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.7.1.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-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: ddqa-0.7.1-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-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d8449c1645a9d42376dbcb625f3d030d1b1f76961fb89bf62de37ab6b630fd65
MD5 a8d523e19f5653cb63c9054e8b9c7767
BLAKE2b-256 d3ada940fd7f6c5c273ed98479ea9943f1e6ec9a1a03c22811599bb65add11f6

See more details on using hashes here.

Provenance

The following attestation bundles were made for ddqa-0.7.1-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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