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Harden CPU AI image builds
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2026-07-12 23:58:26 +02:00
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## Next recommended pass
- Finish the inactive candidate, run fixed-threshold positive evidence and split pure-empty/sparse-context background matrices, and preserve the current production default unless the promotion report passes every gate.
# Sprint 172 - CPU AI image build hardening
## What changed
- Reordered `deploy/unraid/Dockerfile.all-in-one` so `pyproject.toml` and minimal package metadata are installed before the complete backend source is copied.
- Code-only backend changes can now reuse the expensive GIS/AI dependency layer; dependency metadata changes still invalidate it.
- The opt-in CPU AI build now installs the same validated PyTorch `2.13.0` / torchvision `0.28.0` versions from the official CPU wheel index before installing the `ai` extra.
- Kept the full GIS and YOLO import/preflight smoke after the complete backend source copy.
## Validation so far
- RED: the new Docker ordering/CPU-wheel regression test failed against the old Dockerfile.
- GREEN: `python -m pytest backend/tests/test_docker_runtime_config.py -q`: 26 passed.
- `python -m pip index versions` confirmed `torch 2.13.0+cpu` and `torchvision 0.28.0+cpu` are available from the configured CPU index for the workstation platform.
## Remaining validation
- Build the AI-enabled all-in-one image on Tower after the current inactive model training run finishes, verify Torch reports a CPU build and rerun live migration/browser smokes before replacing the runtime.