Systematic sweep eliminated all city name cross-body collisions across the
273 inhabited bodies. Started from Forum Veritas/Jade Harbor/Fort Iron
clusters identified during the #849 analysis pass.
Strategy: use world proper_name as capital city name wherever unique.
For worlds sharing a proper_name, author corridor-appropriate alternates.
All edits synced to atlas_cities via generate_atlas.py --body.
Before: 119+ cross-body city collisions, worst-case ×20 (Jade Harbor)
After: 0 cross-body city collisions
Clusters eliminated: Forum Veritas ×10, Jade Harbor ×19, Fort Iron ×10,
Eisenstadt ×7, Fjordheim/Fjordholm ×6 each, Eisenberg/Eisenfels/Hanseong ×5
each, Ridge Marker ×5, plus 20+ smaller clusters down to ×2.
River/ocean collisions (Rio Grande ×23 rivers, Steinbruch ×19, etc.)
remain — these affect uninhabited secondary bodies at scale and require a
dedicated batch-script pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The upstream terrain pipeline assigns sparse IDs (range_1, range_50,
range_29...) and the prune pass drops entries but keeps original IDs.
This leaves 2394 bodies with non-sequential IDs across mountain_ranges,
rivers, and oceans.
Renumbered all feature IDs to sequential {prefix}_0, {prefix}_1, ...
preserving sort order. 24021 IDs fixed across 2394 bodies. No name
or geometry data changed — only the id field.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Two fixes from observing the first Gemma 2 batch run on Sirius:
1) Prune oversized feature counts. The upstream terrain pipeline emits
every distinct mountain cluster as a separate `mountain_range` and
every flowing path as a separate `river`. At the atlas generator's
512×256 grid this produced bodies with 40-80 named ranges and
10-15 rivers — noise, not information. A single planet with 48
ridges isn't richer, it's unparseable.
`tooling/planet-gen/prune_atlas_features.py` walks every
`markers.json` under `wiki/star-systems/`, ranks each feature type
by a size proxy, and keeps only the top N:
- mountain_ranges: sorted by `area_cells`, top 8 per body
- rivers: sorted by path length, top 6 per body
- oceans / cities / pois: untouched (already small, or
hand-authored by generate_atlas.py)
Sol (GJ-0) is hardcoded-excluded from pruning so the hand-authored
Earth / Mars / moon content stays untouched.
Each pruned body gets its atlas_* rows re-synced via
`sync_markers_to_db` so the DB mirror stays consistent. Bodies
whose wiki folder has no matching row in `bodies` (14 pre-existing
orphans like GJ1156h-1, GJ34Ah-2, …) are pruned in-file but skip
the DB sync to avoid FK violations on atlas_body_grids.
First run results:
bodies scanned: 2394
bodies pruned: 1513
mountain ranges dropped: 11640
rivers dropped: 1382
Safe to re-run — idempotent when a body is already within the caps.
2) Grounded cosmopolitan fallback palette. When Gemma's 3 retries
all fail (dedup, blocklist, stem-cap, placeholder), the code falls
to `_FALLBACK_STEMS[corridor]`. The old table had 10 stems per
corridor, all Latin-institutional (Meridian, Concord, Prefecture,
Cardinal, Lumen, Foro, Tabula, Vox, Axis, Senatus), which produced
the same-y `Axis Spine / Axis Ridge / Axis Heights / Axis Scarp`
clusters the user flagged on Sirius — exactly the old epic-Latin
register the few-shot pools were rewritten to avoid.
Fallbacks now draw from a 30-45 stem grounded cosmopolitan list
per corridor matching the few-shot pool intent:
- core: 45 stems (Ashfield, Bellview, Cedarbrook,
Fairmont, Ironwood, Kirkwood, Linden, Meridian,
Northfield, Riverside, Westbrook, …)
- north_reach: 40 stems (Ashford, Bellfield, Clifford, Drayton,
Elmhurst, Garner, Holmwood, Kelsworth, …)
- west_reach: 35 stems (Altdorf, Bergfjord, Eikhof, Hoogland,
Järvenpää, Kloosterdam, Nieuwpoort, Sørholm,
Svarteberg, Torsfell, Voorhout, Weserhof, Östby, …)
- east_reach: 35 stems (Aomori, Baektu, Chōshi, Fukagawa,
Hanyang, Izumi, Takamine, Yurigawa, …)
- south_reach: 36 stems (Alves, Brandão, Évora, Gomes, Ribeiro,
Serra, Várzea, Hlanganani, Kilimi, …)
- deep_frontier: 30 stems (Okafor, Stenner, Weller, Kellogg,
Stonebrook, Dustgate, Blackwater, …)
Per-feature suffix lists also expanded (e.g. river suffixes now
include Brook, Stream, Flow, Creek on top of the original Run /
Water / Beck / Rill / Course). Net effect: 300-450 unique fallback
combinations per (corridor, feature_type), up from 50, in the same
grounded register the few-shot pools teach.
Also preserves aliases `inner_corridor`, `inner_orbit`, and
`sol-gateway-axis` as legacy-compatible keys pointing at the
administrative-English palette.
Combined effect on the next run:
- ~45% fewer features to name (pruned 13k/52k)
- ~9× more fallback variety per corridor when fallback does trigger
- Same grounding overhaul from the previous commit, now reaching
into the safety-net path
Implements the Phase 3 atlas content generator per D-191 §3, §8, and §9.
Pipeline per body (terrain-aware, deterministic per seed + body):
1. Simulate terrain via planet_simulation.simulate().
2. Analyse continents (flood-fill), habitability (temp/moisture/slope +
coastal bonus), river mouths, and a terrain A* cost grid.
3. Place cities sequentially — capital first (habitability + river-mouth
bias), then corridor growth via multi-source Dijkstra, quadrant-spread
penalty after 2 cities in a quadrant, port-on-new-continent bonus at
cities 3–4. ±25% noise for seed variation.
4. Generate roads and railroads as an MST over city positions, with
A* paths on the terrain cost grid (rail follows roads where possible).
5. Place a transit POI at the capital (15% chance to scatter to a
secondary city).
Output (canonical markers.json schema, pixel space per D-191 §8):
- cities: {id, name, kind, center:[r,c], population}
- roads: {id, name, kind, path:[[r,c],...]}
- railroads: {id, name, kind, path:[[r,c],...]}
- pois: {id, name, kind, center:[r,c]}
- existing rivers/oceans/mountain_ranges preserved untouched.
City names are left empty for gemma_naming.py (#833). Body population is
split across cities with geometric decay (capital ~50%, each subsequent
city half the previous). The 6 hand-authored bodies (Lendel, Edict,
Vuurkloof, Røros, Cairnside, Estrade) are detected by existing
`cities` and skipped for regeneration; their markers are still synced
to the DB index below.
Atlas index in systems.db (new):
- atlas_body_grids, atlas_cities, atlas_roads, atlas_railroads,
atlas_pois, atlas_rivers, atlas_oceans, atlas_mountain_ranges
- Scalar metadata mirror of every markers.json — the implant atlas app
and development queries can lookup cities/POIs/features without
scanning 267 JSON files. Polyline geometry stays in the markers.json
files next to the heightmaps (used by the renderer); the DB only
stores filterable scalar fields plus `point_count` as a length proxy.
- Schema lives in server/data/systems-schema.sql; generate_atlas.py
mirrors the CREATE TABLE IF NOT EXISTS block so it runs against any
DB state (matches the economy-db importer pattern).
- Populated and refreshed on every run. Each body's rows are deleted
and reinserted deterministically — no stale state.
Also fixes a pre-existing WIP bug in the quadrant-saturation penalty
loop (a stray outer `for r in range(GRID_H)` with unreachable breaks
meant only the NW quadrant was ever checked).
Runtime: 280s for all 267 inhabited bodies on a single core. 265 bodies
updated this run, 6 hand-authored bodies synced to DB without
regeneration.
Atlas index after run:
atlas_cities 329 (15 hand-authored + 314 awaiting #833)
atlas_roads 46
atlas_railroads 44
atlas_pois 287
atlas_rivers 2034
atlas_oceans 696
atlas_mountain_ranges 1953
atlas_body_grids 267
Full regeneration of ~2,600 bodies with:
- Correct atmosphere rim colors for extended planet classes
- Clean headings and profile tables (no underscores)
- Boreal/tropical cloud coverage at correct ranges
- Gas giants without meaningless terrain fields
- All heightmaps at 1024x512
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Scaffolded index.md, globe.png (512x512), heightmap.png (1024x512),
terrain.npz, and markers.json for ~2600 celestial bodies across the
Settled Reach. Heightmaps render at native simulation resolution.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
"Biome" describes per-zone vegetation classification (Whittaker table).
"Planet class" describes overall planetary character. The conflation
caused the planet generator to misclassify ~270 bodies as barren.
Scope: systems.db column, schema SQL, Rust atlas code, wiki table
headers (Biome → Class), atlas proposal JSONs, all docs/decisions,
tooling scripts. Also normalizes atmosphere vocabulary (breathable →
standard) and expands planet class mapping to all 26 wiki values.
Unknown classes default to temperate for modder safety.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds Bodies and Population rows to System Profile tables across all 301
star-system wiki pages. Adds Industries, Exports, and Imports economic
profile rows derived from systems.db economic_base + body type + topology.
Includes 9 body/station name changes from cultural diversity remediation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Complete Drifter's Guide coverage for the South Reach corridor.
52 new entries from hop 3 (Travessia) to hop 8 (Punta del Sol),
plus updated gttr-south.md index with all 53 south systems.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Remove S-number from page headers and replace S-number references in
topology sections with GJ astronomical IDs. Headers now show
"**GJ XXX** | type | sector" instead of "**GJ XXX** | S-NNN | type | sector".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Wiki pages are the single source of truth for all per-system data.
Each stub contains all 68 columns in YAML frontmatter, pre-filled
from star-map.json for identity/infrastructure fields. Includes
Sol (S-000/GJ 0) and Van Maanen's Star (S-057/GJ 35) with Sova
station content.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
jpmschweitzerandClaude Sonnet 4.6