Contribute mdaviz to conda-forge.

[prjemian]

Contribute mdaviz to conda-forge.

Originally posted by @prjemian in #113 (comment)

[prjemian]

FYI: Just submitted contribution for new hklpy2 package:
conda-forge/staged-recipes#26517

Proposed procedure

• https://conda-forge.org/docs/maintainer/adding_pkgs/
• https://conda-forge.org/blog/2021/06/16/graykull-step-by-step/

1. cd tmp
2. install grayskull (I install in a new conda environment)
3. grayskull pypi --strict-conda-forge mdaviz
4. Fork https://github.com/conda-forge/staged-recipes to your personal github account: https://github.com/conda-forge/staged-recipes/
5. git clone from your fork and cd into the new directory
6. create (and checkout) a new branch: mdaviz-package
7. In the recipes directory, make a new mdaviz directory
8. cp /tmp/mdaviz/meta.yaml recipes/mdaviz/

You might need to add some additional info in the about: section of the meta.yaml. Here's mine:

about:
  home: https://prjemian.github.io/hklpy2
  summary: 2nd generation diffractometer controls for the Bluesky Framework.
  license: BSD-4-Clause
  license_file: LICENSE
  doc_url: https://prjemian.github.io/hklpy2
  dev_url: https://github.com/prjemian/hklpy2

9. Commit and push to your fork.
10. From your fork, open a PR to conda-forge.
11. Respond & resolve any problems.
12. Once it builds completely and is ready, add this comment: @conda-forge/help-python @conda-forge/staged-recipes : This is ready for review, when you get a chance. Thanks!
13. Wait for review (might take days).
14. Once approved, merge the PR (if not already merged). In about an hour, your new mdaviz package should be ready on conda-forge.