feat(cloud): lake root URI, pipeline Dockerfile, ingest-smoke (#94) - #104
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JLaborda wants to merge 2 commits into
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feat(cloud): lake root URI, pipeline Dockerfile, ingest-smoke (#94)#104JLaborda wants to merge 2 commits into
JLaborda wants to merge 2 commits into
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Define the Phase 2+ production QV funnel spec, extend CONTEXT.md with QV terminology, and clarify MF benchmark vs production paths.
Add configurable LAKE_ROOT_URI resolution shared across pipeline CLIs, a production pipeline Docker image, dev S3 ingest-smoke workflow via OIDC, and operator guide for Phase 2a cloud foundation.
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Summary
Implements the Phase 2a cloud foundation tracer bullet (#94) plus the Quantitative Value feature spec (#86).
Cloud foundation (#94)
LAKE_ROOT_URIresolution — sharedlake_root.py+cli_lake.py; all ingest/scoring CLIs accept--lake-root-uriwith backward-compatible--data-dirDockerfile+make docker-build.github/workflows/ingest-smoke.yml(OIDC → dev S3; weekly cron + manual dispatch)docs/mvp/guides/cloud-foundation.mdQV spec (#86)
docs/mvp/features/quantitative-value.md— canonical QV funnel specCONTEXT.md— QV terminology; MF path marked benchmark-onlytests/test_quantitative_value_spec.py— spec structure smoke testTest plan
poetry run pytest tests/test_lake_root.py -q(12 passed)make lintmake test(241 passed)make docker-build(requires Docker daemon)dev+ AWS OIDC setup)Human prerequisite
Dev S3 bucket + OIDC provider must be provisioned before ingest-smoke can pass end-to-end. Steps documented in
docs/mvp/guides/cloud-foundation.md.Closes #94