feat(scaffold): add __deployment__.py deployment manifest stub#4
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Scaffolds an empty __deployment__.py into the minimal workspace. dlt
discovers this module by default ('dlthub deploy'); it's where you import
the pipelines and notebooks you want to deploy and list them in __all__.
Ships empty with brief guidance so a fresh workspace is deploy-ready.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Summary
Scaffolds an empty
__deployment__.pyinto the bundled minimal workspace. dlt's CLI discovers this module by default (dlthub deploysyncs it to the dltHub Platform) — it's the manifest where you import the pipelines and notebooks you want to deploy and list them in__all__. Shipping it empty (with a one-line guidance comment) makes a fresh workspace deploy-ready and pre-empts the "no manifest found (create__deployment__.py)" prompt.Mirrors the minimal manifest shape used in
dlthub-start:The import stays commented because the minimal scaffold ships no
pipeline.py/notebook.pyyet, so an active import would error.Changes
src/dlthub_init/scaffolds/minimal_workspace/__deployment__.py(auto-discovered + copied byenumerate_payload; tracked in the user's workspace — scaffold.gitignoreonly ignores*.py[codz]).tests/test_scaffold.py: added the file to the pinnedEXPECTEDset.[Unreleased] → Added.Testing
make test✅ (103 passed)🤖 Generated with Claude Code