Add YOLO preflight runtime diagnostics
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- Added an opt-in Docker/Unraid AI build path (`GEOINTEL_INSTALL_AI=true`) for installing optional PyTorch/Ultralytics dependencies while keeping the default GIS runtime lightweight and import-safe.
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- Hardened the AI Docker runtime with OpenCV native libraries required by Ultralytics and made YOLO dependency detection use real imports instead of optimistic module discovery.
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- Added a writable `YOLO_CONFIG_DIR` default under application storage so Ultralytics does not fall back to root user config paths in Docker/Unraid.
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- Added YOLO preflight runtime diagnostics for dependency assumption state, model directory, `YOLO_CONFIG_DIR`, installed `torch`/`ultralytics` versions and CUDA availability without running inference or downloading weights.
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- Added static regression coverage for the road basemap, attribution, basemap policy notice, database layer selector and persisted operational GIS workflow wiring.
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## Sprint 115 QA/QC and Exports usability layout pass (2026-07-04)
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