scikit-learn / scikit-learn/scikit-learn-release
Tracking issue for intermittent problems
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- Dominant language
- Shell
- Stars
- 2
- Forks
- 4
- Avg merge
- 7h 51m
- Merged PRs (30d)
- 5
Description
ServerError failure during nightly wheel upload on anaconda.org
Not sure how often this happens and whether we had a more robust command on the scikit-learn repo:
ServerError: ('Service Unavailable: The server cannot process the request due to a high load ([DELETE] https://api.anaconda.org/dist/scientific-python-nightly-wheels/scikit-learn/1.10.dev0/scikit_learn-1.10.dev0-cp311-cp311-macosx_10_9_x86_64.whl -> 503)', 503)
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked build log and trace the nightly wheel upload command that receives the 503 from anaconda.org. Check how often the failure occurs and compare the upload approach with the scikit-learn repository. Done means the intermittent failure is characterized and a more robust upload path is identified and verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- shell
- Domain
- ci-cd, release
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100