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fix(ci): validate cached dbt e2e environments; pin the uv venv to the system Python - #1258
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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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Included review availability: This review used your included allowance. Your plan provides up to 4 included reviews per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe E2E workflow now runs for matching pull requests and passes its configured Python interpreter to setup scripts. The scripts validate cached dbt environments and rebuild unusable ones. E2E tests verify requested versions and configure dbt-cli for each version. ChangesE2E cache recovery
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix · Severity of issue fixed: Medium Suggested reviewers: Merge Risk: ⚪ Minimal · up to The E2E setup validates cached environments and uses the requested Python and dbt versions. No material merge risk is apparent in the reviewed changes. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 15 functions across 3 files. (1 skipped: 1 unsupported.)
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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
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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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…pping - setup-versions.sh rebuilds a cached venv whose dbt does not run - key both caches on the setup-python version - versions test fails on a missing requested version, and points dbt-cli at each venv - job timeout 20 min Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0174HUYiaceApqHP7EKMNgnb
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Inline comments:
Review comments at @packages/dbt-tools/test/e2e/setup-versions.sh:
- Around line 74-84: Update the cached-environment check in the setup loop to
compare the core minor version reported by installed_version with ver before
reusing the environment. Continue only when they match; otherwise remove the
stale venv_dir and rebuild it, including when the cached dbt is unrunnable.
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View guided diff | Turn on auto-fix | Re-trigger cubic
The full run takes about 4 min in CI on a cache miss (tests 128 s), so the original limit fits. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0174HUYiaceApqHP7EKMNgnb
- setup-versions.sh requires `dbt --version` to exit 0 and report the requested minor; otherwise it rebuilds - the versions guard compares the version each dbt reports, not dir names Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0174HUYiaceApqHP7EKMNgnb
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Issue for this PR
Closes #1257
Type of change
What does this PR do?
Main's
dbt-tools E2Ejob fails on every run. Both of its caches hold venvs whosebin/pythonlinks to an interpreter outside the cached directory, so after a restorebin/dbtexists but does not run:dbt resolver e2e > uvtests fail with ENOENT.already installed (unknown), and the multi-version suite finds no working dbt and skips every test with a warning. Main runs 11 E2E tests; with that suite running it is 48.actions/cachesaves only on a miss, so the same broken environments come back on every run.setup-resolve.sh,setup-versions.sh): a cached environment counts only if itsdbt --versionsucceeds (and, for the version venvs, reports the requested version); otherwise the script prints↻ <name> cache is stale (dbt does not run) — rebuilding...and rebuilds. Both build onDBT_E2E_PYTHONwhen set, and the uv venv is created with--pythonso it links to that interpreter.dbt-versions.test.ts): whenDBT_E2E_VERSIONSis set (CI sets it), a requested version without a working dbt that reports that version fails the run instead of skipping. Each version'sbeforeAllnow callsconfigure()with its own venv. The tests never reset the dbt binarydbt-clicaches, so every version after the first ran the first one's dbt; it surfaced as 4 dbt 1.11 failures (a DuckDB file written by 1.11 that 1.10 cannot read).ci.yml): both cache keys include the setup-python version, so a new 3.11 patch release starts fresh caches instead of restoring dead venvs; the scenario key also moves to-v2. Both setup steps getDBT_E2E_PYTHONfrom setup-python. The job also runs on PRs that touchpackages/dbt-tools/**, with a read-only token and no persisted credentials, so a fix to its own setup is proven before merge.How did you verify your code works?
Linux, Python 3.11.15, uv 0.11.1, from
packages/dbt-toolswith CI's env vars and nodbton PATH:bun run test:e2e: 48 pass, 0 fail. Without theconfigure()call: 4 dbt 1.11 failures.bin/pythonat a missing interpreter: main's setup script printedalready installed (unknown)and main's test ran 0 tests and exited 0. The new test fails; the new setup script rebuilt 1.8 and reused it on the next run. The same holds when1.8holds a working 1.10, and for adbtthat prints its version and exits 1.uv/.venv/bin/python): rebuilt. Also checked on macOS with pyenv Python 3.9: stale uv venv rebuilt, resolver tests 23 pass.On CI (this PR, Python 3.11.17): both new keys missed, all environments built fresh, 48 pass / 0 fail including the new version check, job about 4 min. Caches saved by a PR run are scoped to the PR, so
mainbuilds its own on the first push after merge and restores from the second.Checklist
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Summary by CodeRabbit
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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.