Drop the UV_LOCK_TIMEOUT=900 CI workaround once cp315 wheels are generally available

Open Beginner friendly
#7,149 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
1/5
Estimated time
1-3 hours
Newbie friendliness
78/100
Issue type
Refactor
Clarity
Clearly specified
Activity status
Active
Tech stack
python
Domain
ci-cd

Research direction

Check the cp315 CI legs and dependency wheel availability first, then inspect .github/actions/setup_build_env/action.yml. Once the heavy dependencies have prebuilt cp315 wheels, remove the UV_LOCK_TIMEOUT environment block and its comment. Done means 3.15 CI completes without the workaround and its timing is back in line with other Python versions.

Written by the indexing model from the issue text.

Description

Follow-up to https://github.com/reflex-dev/reflex/pull/6930 (Python 3.15 support).

.github/actions/setup_build_env/action.yml now sets UV_LOCK_TIMEOUT: "900" on uv sync, because on the cp315 legs several dependencies (numpy, pandas, scipy, matplotlib, contourpy, ...) have no prebuilt wheels and are built from sdist, which can hold the uv cache lock past the default 300s.

This raises the ceiling for every CI job, not just 3.15, and can mask a genuinely stuck sync by up to 15 minutes.

Once the heavy deps publish cp315 wheels (so the 3.15 legs stop building from sdist):

  1. Remove the env: UV_LOCK_TIMEOUT block from setup_build_env/action.yml and its comment.
  2. Confirm 3.15 CI times drop back in line with the other versions.
Dominant language
Python
Stars
28.9k
Forks
1.8k
Avg merge
1d 20h
Merged PRs (30d)
173

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from reflex-dev/reflex

All issues in reflex-dev/reflex

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.