Skip to main content

Tools for extracting knowledge from GitHub issues, PR comments, etc.

Project description

llm-github

Release Build status codecov Commit activity License

Tools for extracting knowledge from GitHub issues, PR comments, etc.

Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:turbomam/llm-github.git
git push -u origin main

Finally, install the environment and the pre-commit hooks with

make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

  • Create an API Token on Pypi.
  • Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
  • Create a new release on Github.
  • Create a new tag in the form *.*.*.

For more details, see here.


Repository initiated with fpgmaas/cookiecutter-poetry.

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

llm_github-0.0.1.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

llm_github-0.0.1-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file llm_github-0.0.1.tar.gz.

File metadata

  • Download URL: llm_github-0.0.1.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1022-azure

File hashes

Hashes for llm_github-0.0.1.tar.gz
Algorithm Hash digest
SHA256 637a8aadca836050c7f07524c0e94abb0e72739ede8d9e127510c3dff604ecd2
MD5 ed245fc873503420972811dfdcd3fbc8
BLAKE2b-256 74e31339d335faa4f1fae554b4e1d1be49ceee5d0ad503364b61435a68263452

See more details on using hashes here.

File details

Details for the file llm_github-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: llm_github-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 7.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1022-azure

File hashes

Hashes for llm_github-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 eff337fc2d83c4d0d733109e6958f4055858e0bdb07ee05dae2fc46d655ee1f8
MD5 f1660f666abad9a009d150e319630d22
BLAKE2b-256 9fce778a11c212ff1bcdae4bfdab7f6be1c022154bf0b0417aa759ae9414038e

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