fix(ci): validate cached dbt e2e environments; pin the uv venv to the system Python - #1258
fix(ci): validate cached dbt e2e environments; pin the uv venv to the system Python#1258anandgupta42 wants to merge 3 commits into
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… system Python The dbt-tools E2E job on main fails with ENOENT executing test/.dbt-resolve-envs/uv/.venv/bin/dbt: the restored cache holds a uv venv whose bin/python links to a uv-managed interpreter outside the cached directory, absent on a fresh runner. setup-resolve.sh trusted the .done marker and skipped setup, and actions/cache never re-saves on a hit, so the broken environment came back on every run. - setup-resolve.sh: a cached environment counts only if its dbt --version runs (with a timeout); otherwise it is rebuilt. Applied to every scenario. - uv venv is created with --python "$REAL_PYTHON" so it links to an interpreter that exists on every runner. - ci.yml: cache key bumped to -v2 so the broken v1 cache is not restored. Closes #1257 Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Repository UI Review profile: CHILL Plan: Team Run ID: 📒 Files selected for processing (2)
Included review availability: Your plan provides up to 4 included reviews per hour; 3 remain after this review. 📝 WalkthroughWalkthroughThe E2E setup validates cached ChangesE2E cache recovery
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This updates dbt-tools E2E cache recovery so stale environments are rebuilt and new uv environments use the configured Python. No current merge-blocking risk remains. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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…t-tools The job ran only on push to main, so a PR fixing its environment setup could not prove the fix before merging. The `dbt-tools` change filter already existed for exactly this; the job now honours it, keeping the 3-minute cost to PRs that change dbt-tools. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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The job this PR fixes now runs on the PR itself and passes: dbt-tools E2E, 1m03s, https://github.com/AltimateAI/altimate-code/actions/runs/34162722805/job/101867732074 (cache miss on the v2 key, fresh build with the pinned interpreter, all resolver e2e tests green). The first push to main after merging exercises the cache-restore path; if that ever regresses, the setup script now rebuilds instead of trusting the marker. |
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Inline comments:
In `@packages/dbt-tools/test/e2e/setup-resolve.sh`:
- Line 101: Update the setup-resolve flow around find_real_python and the uv
venv invocation so CI uses the interpreter installed by actions/setup-python
rather than allowing pyenv to take precedence. Ensure the selected Python 3.11
interpreter path is used for the virtual environment, preserving cached
environments across runs.
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In @.github/workflows/ci.yml:
- Line 559: Update the checkout step in the affected job to set
persist-credentials to false before running pull-request-controlled installation
and test commands, unless a later step explicitly requires authenticated Git
access; preserve the existing checkout behavior otherwise.
- Line 559: Add a job-level least-privilege permissions block to the job
containing the `if` condition, matching the hardened `tracker-leaks` job’s
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…read-only token - setup-resolve.sh: `with_timeout` falls back to Homebrew's `gtimeout` on macOS, so the cached-env check is bounded there too (cubic). - setup-resolve.sh: `find_real_python` honours `DBT_E2E_PYTHON`; the workflow sets it to the interpreter actions/setup-python installed, so the scenario venvs no longer build on the runner image's /usr/bin/python3 while the workflow believes it chose 3.11 (CodeRabbit). - ci.yml: the E2E job now runs pull-request code, so it gets `permissions: contents: read` and `persist-credentials: false`, matching the tracker-leaks job (CodeRabbit). Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Issue for this PR
Closes #1257
Type of change
What does this PR do?
Main's
dbt-tools E2Ejob has been red since 2026-09-07: threedbt resolver e2e > uvtests fail withENOENT ... uv/.venv/bin/dbteven though the resolver finds the file. The restoreddbt-resolve-envs-Linux-v1cache holds a uv venv whosebin/pythonlinks to a uv-managed interpreter under~/.local/share/uv, outside the cached directory and absent on a fresh runner;bin/dbtexists but its interpreter does not.setup-resolve.shtrusted the.donemarker and skipped setup, andactions/cacheonly saves on a miss, so the broken environment was restored on every run.packages/dbt-tools/test/e2e/setup-resolve.sh: a cached environment now counts only if<env>/bin/dbt --versionruns (undertimeoutwhere available); otherwise it prints↻ <scenario> cache is stale (dbt does not run) — rebuilding...and rebuilds. Applied to every scenario via onecached_or_rebuildhelper. The uv venv is created with--python "$REAL_PYTHON"so it links to the system interpreter..github/workflows/ci.yml: cache keydbt-resolve-envs-<os>-v1→-v2with a comment explaining why, so the broken cache is not restored while the validation guards against the next occurrence..github/workflows/ci.yml(second commit): thedbt-tools E2Ejob now also runs on pull requests that touchpackages/dbt-tools/**, using thedbt-toolschange filter that already existed but was unused by this job. Previously it ran only on push tomain, so a fix to its own setup could not be proven before merging. Cost: about 3 minutes, only on PRs that change dbt-tools.How did you verify your code works?
Locally on macOS (uv, pyenv Python 3.9) from
packages/dbt-tools:./test/e2e/setup-resolve.sh venv uv: both environments built (dbt-duckdb 1.10.23).(cached)after the validation ran.uv/.venv/bin/pythonwith a dangling symlink;bin/dbt --versionthen fails exactly like CI. The next setup run printed↻ uv cache is stale (dbt does not run) — rebuilding..., rebuilt, anddbt --versionworked again.bun test test/e2e/resolve.test.ts: 23 pass, 0 fail.github.event_name == 'push' || needs.changes.outputs.dbt-tools == 'true'.On CI: with the second commit this PR's own
dbt-tools E2Ejob runs. It misses the v2 cache, builds fresh with the pinned interpreter, and saves; the first push tomainafterwards exercises the restore path. Check that job on this PR before merging.Committed through the GitHub API from the session's worktree (the branch there is PR #1241's, so the files were uploaded rather than pushed from a checkout).
Checklist
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Summary by CodeRabbit
Tests
Chores
Note
Low Risk
Changes are limited to CI workflow and E2E setup scripts; they do not alter shipped application or resolver runtime behavior in production.
Overview
Fixes dbt-tools E2E failures where a restored GitHub Actions cache looked healthy (
.donepresent,bin/dbton disk) butdbtexited with ENOENT because the uv venv pointed at a uv-managed Python outside the cached tree.setup-resolve.shnow treats a cache hit as valid only afterdbt --versionsucceeds (with optionaltimeout); stale caches are rebuilt with a clear message. uv venvs are created with--python "$REAL_PYTHON", andDBT_E2E_PYTHONlets CI prefersetup-python’s interpreter over the image default. All scenarios share acached_or_rebuildhelper instead of trusting.donealone..github/workflows/ci.ymlbumps the resolve-env cache key v1 → v2, passesDBT_E2E_PYTHONinto setup, and runs dbt-tools E2E on PRs that touchpackages/dbt-tools(not only on push to main). The job uses read-onlycontentsandpersist-credentials: falseon checkout, matching other PR-scoped jobs.Reviewed by Cursor Bugbot for commit b443456. Bugbot is set up for automated code reviews on this repo. Configure here.