chore: import upstream snapshot with attribution
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# Keep the build context lean — only the bits the image actually needs.
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# VCS + IDE
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.git
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.gitignore
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.github
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.vscode
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.idea
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# Python build outputs
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__pycache__/
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*.pyc
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*.pyo
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*.pyd
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*.egg-info/
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build/
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dist/
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.venv/
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venv/
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# Node build outputs. Critical: without this, a local `web/node_modules/`
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# (left over from `npm install` on the host) would be copied into the
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# build context and overlay the freshly-installed node_modules from the
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# Dockerfile's `npm ci` step — breaking `npm run build` with
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# "tsc: not found" if the host install was incomplete or wrong-platform.
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node_modules/
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# Test + dev artifacts
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tests/
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.pytest_cache/
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.mypy_cache/
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.ruff_cache/
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.coverage
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htmlcov/
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*.log
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# Local databases / large blobs that may be in the workdir
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*.db
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*.sqlite
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mlflow.db
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conv_*
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# web/ IS copied into the build context — the web-builder stage in
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# the Dockerfile runs `npm run build` against it to produce the SPA
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# bundle. The node_modules exclusion above keeps the host's install
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# from overlaying the container's.
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loadtest/
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demos/
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scripts/
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dev/
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designs/
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skills/
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.claude/
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# Docs that don't belong in the runtime image
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TODO.md
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AGENTS.md
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openapi.json
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# Databricks-Apps-specific deploy (Lakebase, UC Volumes, bundle config).
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# The OSS Docker entrypoint at deploy/docker/entrypoint.py IS copied.
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# The AWS Terraform/boto3 helpers at deploy/aws/ are deploy-time tooling,
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# not runtime — exclude them too.
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deploy/databricks/
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deploy/aws/
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