infra: publish canopy-cli to PyPI on tag#27
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- pyproject.toml: name=canopy-cli (canopy is taken on PyPI), add classifiers + project.urls - .github/workflows/publish.yml: tag-triggered build + OIDC publish via trusted publisher - CLI command names (canopy, canopy-mcp) unchanged
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Summary
canopy-cli(the namecanopyis already taken on PyPI by an unrelated project). Executable names (canopy,canopy-mcp) are unchanged.[project.urls]+ PyPI classifiers so the PyPI listing has the right metadata..github/workflows/publish.yml— tag-triggered (v*) build + OIDC publish via PyPI trusted publishing. Workflow guards against tag/version mismatch.Why
Currently the only install path is cloning the repo and running
pip install -e .. Publishing to PyPI unlockspipx install canopy-cli, which is the cross-platform single-command install we need before doing the VSCode extension install-decoupling work.Release flow once merged
canopy-cliare configured (done).git tag v3.1.0 && git push origin v3.1.0→ workflow builds sdist + wheel, OIDC-authenticates, publishes.Test plan
python -m buildruns cleanly locally →canopy_cli-3.1.0.tar.gz+canopy_cli-3.1.0-py3-none-any.whlpython -m twine check dist/*→ both PASSEDv3.1.0tag and verify workflow publishes to PyPIpipx install canopy-cliworks from a clean machine andcanopy --versionreturns 3.1.0