Jeffrey Ward
819a4cce7a
The runtime image carries only what serving needs — the Julia runtime, an already-precompiled depot, exiftool, and optionally github-linguist. The package registry, git clones, and the Ruby/C toolchain that builds rugged all stay in earlier stages. Two things shape the build. Dependencies are instantiated and precompiled in a layer keyed only on Project.toml/Manifest.toml, so a src/ edit rebuilds in seconds rather than minutes; a stub src/FileServer.jl satisfies Pkg's root-package check there. And github-linguist, the one heavy optional dependency, is behind WITH_LINGUIST: it degrades gracefully (stage 4 keeps natural-language enrichment and warns), so building it out is a supported ~160MB saving. All stage directories are pointed under /data via the FS_*_DIR variables so one volume holds the whole in-flight working set, and data/ is excluded from the build context. Claude-Session: https://claude.ai/code/session_01KMNwyqLS3ns6uwWHGDGdAQ
17 lines
342 B
Plaintext
17 lines
342 B
Plaintext
# The pipeline working set (17G here) belongs in a volume, not the image.
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data/
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.git/
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test/
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# Benchmark / training / calibration harnesses are dev tools, not runtime.
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bin/bench.jl
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bin/bench_model.jl
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bin/bench_stage1.jl
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bin/bench_stage2.jl
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bin/cluster_calibrate.jl
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bin/train.jl
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bin/send_dir.sh
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Dockerfile
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docker-compose.yml
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.dockerignore
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*.md
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