zwitschi
d42e39faa9
Tools/street_mesh.py builds the corridor in the project frame from the measured profile: carriageway -10.5..+10.5 m, kerbs 0.15 m (0.13 m as built), sidewalks 4.0 m south and 5.3 m north, all elevations sampled from the DEM. Kerbs flush at the three signalised crossings. Crown at mid-block reproduces the cross-sections to the centimetre.
26 lines
1.7 KiB
Markdown
26 lines
1.7 KiB
Markdown
# Tools
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Repeatable import/export and processing helpers. Anything that was done twice by hand belongs here.
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## Conventions
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- One script, one job. No interactive prompts; every input is an argument.
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- Each script documents its input format, output format, and the exact tool version it was tested with.
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- Blender scripts run headless (`blender --background --python`), so they can be re-run for a regression check.
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- No credentials, no absolute machine paths, no writes outside the project by default.
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- A script that produces game content logs what it produced, so `Game/Content` can be audited against it.
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## Helpers
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- `check-lfs.sh` — repository guard: fails if `git-lfs` or the `lfs` filter is missing, or if an LFS-tracked file was committed as a plain blob.
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- `street_mesh.py` — road, kerbs, and sidewalks on the DEM, in the project frame; kerbs flush at the three crossings.
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- `terrain_from_dem.py` — terrain grid from the committed DEM, with building footprints cut out.
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- `blosm_blockout.py` — headless Blosm import of the committed `.osm` extract into a `.blend`, with a per-building scale report. Exact invocation in `Art/blender/README.md`.
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- `commons_fetch.py` — Wikimedia Commons reference fetcher. Search or exact `File:` titles, 1600 px thumbnails, provenance `sidecar.json` per folder. Writes only into the gitignored `Art/reference/`; reference images are never committed.
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## Planned helpers
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- Blender export preset runner (named presets, metric scale assertion)
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- Blender→Unreal scale test (export a known-size cube, verify 100× conversion)
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- OSM extract fetch and manifest writer (records date, bounds, checksum)
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- QGIS processing steps as batch scripts, so the geo cleanup is reproducible rather than GUI-only
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