LlamaModelParams::default() sets n_gpu_layers=0, so even with --features
rocm the model ran entirely on CPU at ~19 t/s. Setting n_gpu_layers to a
large sentinel value asks llama.cpp to offload every layer the model
has; llama.cpp clamps to the real count (27 for Gemma 2 2B). Observed
throughput jumps from 19 t/s to 74 t/s on an RX 9070 once the ROCm
binary is also compiled for gfx1201 (see tooling commit).
Also adds server/sr-voice/.gitignore so locally-built binaries don't
sneak into the worktree. Release binaries ship out-of-tree per #850.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Previous runs (both the GPU-contention kill and the anglophone-only
interrupt) left 19 hop 0-1 core bodies with stale generator output in
their markers.json files. Those bodies were being skipped via the
preserved path on relaunch, which meant the gttr-context fix
(commit a5fbce4c) would never touch them — exactly the set of
high-visibility systems that benefits most from per-system cohesion.
Reset to origin/main (clean null-name state) + re-prune to the 8/6
caps. Hand-authored templates (Edict, Estrade, Vuurkloof, Lendel,
Cairnside, Røros) explicitly excluded from the reset list and
verified intact (2-4 named cities each, untouched).
After this commit only the 6 hand-authored templates have
populated names in wiki/star-systems/. The entire rest of the reach
is clean and will be freshly named by the next gemma_naming.py run
with the full gttr + cosmopolitan + grounded few-shot + rotating
pool stack.
Bodies reset:
- Ran (GJ 144): all 9 bodies
- Sirius (GJ 244A): GJ244Ab, c, e-1, e-2 (not Ad, that's Edict)
- ACB (GJ 559B): GJ559Bb
- Tau Ceti (GJ 71): GJ71b, c, d, d-1, e
Two related quality fixes observed mid-run on Sirius + ACB + Ran:
1) Cosmopolitan corridor palettes. The six corridor inflection labels
were single-culture dominant ("administrative English / Gateway-era",
"British / Australian / Irish", "Korean/Japanese/Taiwanese", etc).
Gemma 2 2B interpreted these as "produce ONLY in this register" and
every core body came out anglophone, every east_reach body came out
East Asian. The real Earth diaspora in the setting is cosmopolitan —
a British surveyor on an east_reach moon still names a river after
their aunt in Dorset. The labels now spell out the dominant register
AND explicitly invite cross-cultural variety so Gemma samples from
the full few-shot pool instead of collapsing to one culture.
2) Per-system gttr context (the big one). The gttr.md files under
wiki/star-systems/<slug>/gttr.md already carry a vivid one-sentence
characterisation of every system — "where the rules live", "forty
years old and still in the draft", "the most connected system in
the Reach", "grandparents owned the land". This is a far stronger
cultural signal than the corridor inflection alone.
New column `star_systems.gttr_hook` stores a pre-extracted 45-word
hook per system. `tooling/db/populate_gttr_hook.py` parses each
gttr.md, regex-matches the first `**NAME**` paragraph, normalises
whitespace, truncates softly at a word cap, and stores it. Covers
all 301 systems (full coverage). Idempotent, safe to re-run after
any wiki update. Explicit transaction wrapper.
gemma_naming.py loads the hook cache at startup via
`load_system_gttr_hooks` and threads `system_hook` plus the system
and body proper names through process_body → name_feature →
_build_prompt. The prompt now carries:
System: <proper_name>. Planet: <body_name>.
About the system: <gttr_hook>
Style: British. Answer: Cooper's Creek
Style: Dutch. Answer: Meijer Beek
...
Real-mode smoke on 10 cases across 4 contrasting systems shows the
hook is doing exactly what it should. Sample output on the same
body_id / local_id pairs:
Tau Ceti (cosmopolitan hub) → Oakham River, Riverwood, Bridle Way
Ran (old-family agricultural) → Hart's Well, Blackwood Ridge
ACB (Lattice Commission seat) → Greenhaven, Rudge Brook
Posto Avançado (PT frontier dead-end) → Rio Preto, Serra de Caxias, Cunha's Cove
Posto Avançado went from "likely-English under the old corridor-only
prompt" to actual Portuguese names with a real Brazilian place stem
(Caxias), because the hook explicitly mentions wave_5 Portuguese
founders and frontier dead-end context. The gttr cultural one-liner
is the single strongest lever available for per-system cohesion —
this was the mono-culture issue observed in the first run, now fixed.
Token cost: ~60-90 extra tokens per prompt (hook + ident line).
Inference slowdown: ~5-10% per call. Acceptable for the quality gain.
Also restores 10 markers.json files that were stale from the aborted
run just killed — they were all core bodies at hop 0-1 which benefit
most from the gttr-context upgrade, so re-running them with the new
prompt is worth the ~3 minutes of re-inference.
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
Parallelism via two concurrent sr-voice subprocesses does not work on
this ROCm + llama-cpp-rs setup — launching a second instance poisons
the first one's GPU context (both fall back to 0% GPU / 50% CPU
busy-loop and stop making progress). Verified empirically: single
shard runs cleanly at ~1.2s/feature, two shards deadlock.
Without a working parallel path, --shard is dead weight. Resume
semantics were already free: the pipeline skips bodies whose
markers.json has non-empty name fields (preserved path), so a
killed run re-starts just by re-running the same command.
Simplifications:
- Remove --shard argument and all slicing logic.
- Remove banner_shard / shard_offset / shard_n / shard_m plumbing.
- Rename internal total_shard_systems → total_systems.
- Default --log path is now .tmp/gemma_naming.log (was conditional
on --shard). Pass `--log -` to disable file logging.
- Startup banner now prints a one-line resume reminder so the user
can see at a glance that a killed run is recoverable.
New end-to-end pipeline that walks every markers.json in the reach and
fills empty `name` fields using the Gemma 2 voice pipeline via
`sr-voice serve --stdio`. Per D-191 §4: the same Gemma 2 pipeline the
client uses for NPC voicing also produces the atlas content, which is
dual-purposed as a quality test of the LLM plumbing.
Pipeline per body (hop-ordered, core-first):
1. Load markers.json; identify feature records whose `name` is
blank (null or ""). Hand-authored names are never overwritten;
the 6 template bodies and any partial authoring stay put.
2. Look up body context (planet_class, settlement_pattern,
cultural_corridor, population, economic_role) from systems.db.
3. Build a short corridor-aware few-shot prompt per feature type.
Prompts carry 3 concrete `Style: X. Answer: Y` examples so
Gemma 2 2B completes a pattern instead of generating to an
open-ended instruction — this is the single biggest lever
against placeholder echoes on a small model.
4. Stream the prompt into a long-lived sr-voice subprocess, read
the JSONL response, post-process (strip markdown, label
prefixes, brackets, reject 5+ word outputs and placeholder
tokens), check the earth-name blocklist, check per-(corridor,
feature_type) + per-body dedup, check the per-stem cap, retry
up to 3 times with a bumped seed.
5. On persistent failure, fall back to a deterministic palette
generator so every feature ends up with a name.
6. Write markers.json atomically and refresh atlas_* DB rows via
sync_markers_to_db. Commit the DB per body so a crash loses
at most one body of state.
7. Restart the sr-voice subprocess every `--refresh` requests
(default: 200) to prevent KV-cache context bleed.
Core design decisions:
- Determinism: per-(world_seed, body_id, feature_local_id, attempt)
seed so the full run is reproducible.
- Ordering: bodies are processed in ascending `hop_distance_from_gateway`
so core bodies get first pick at every unique Gemma output and
outer sectors fall into the palette fallback when they lose the
dedup race.
- Dedup scope: (cultural_corridor, feature_type) across the run,
PLUS a per-body cross-type set so the same name can't be a river
AND an ocean AND a mountain on the same world. Hand-authored names
are seeded into both sets on load so templates win priority.
- Stem cap: each non-generic root token (e.g. 'Arcturus', 'Meridian')
may appear at most `--stem-cap` times across the full run (default
20), preventing single-word runaway. Fallback names bypass the cap.
- Earth blocklist: 181 curated entries covering major Earth cities,
mountains, rivers, oceans, historical/colonial spellings, and
Greek/Roman mythology that reads too literally. Prefixed variants
('Nouveau Paris', 'New Tokyo') explicitly allowed per the product
intent that Earth-echo names are fine but must not dominate.
Leading 'The ' is stripped before comparison so 'The Great Divide'
also matches.
Operational features:
- `--shard N/M` slices the body list into M partitions for parallel
runs. Two terminals × `--shard 0/2` + `--shard 1/2` fits the
~2.5 GB/instance VRAM footprint twice under the 50% cap on a
16 GB AMD GPU and roughly halves wall time.
- `--log PATH` writes a timestamped tee of every status line to a
file. Default: `.tmp/gemma_naming.shard{N}of{M}.log` when a
non-trivial shard is in use.
- SQLite `PRAGMA journal_mode=WAL` + `busy_timeout=15000` so two
concurrent shards serialize writes without lock errors.
- Per-body progress lines report `body K/N`, `sys K/N`, and
`hop=H` so the user can watch core sectors finish first.
- Each body logs the new names it produced per feature type so the
user can eyeball quality as the run progresses.
- Checkpoint summary every 25 bodies: cumulative names, rate,
ETA — gives the log regular scroll points.
- `--mock` uses `server/sr-voice/mock-stdio.sh` for dry-fire
pipeline validation without a model load (tested end-to-end).
Supporting files:
- `tooling/planet-gen/earth_blocklist.txt` — 181 curated entries.
- `tooling/db/backfill_cultural_corridor.py` — one-off migration
that fills the `cultural_corridor` column on both `star_systems`
and `bodies` from the `geographic_sector` values. Before this
pass, 99.4% of rows (3221/3240) had a NULL cultural_corridor
despite `wiki_sync.py` being aware of the column — the wiki
index.md files only carry the sector header, which was never
propagated to the DB column. Idempotent, safe to re-run after
any wiki_sync rebuild, explicit transaction wrapper with
rollback on failure.
Full batch runtime estimate: ~20 hours single-shard / ~10 hours
double-shard on this hardware. Smoke tests across five hardened
iterations (v1–v5) on GJ71b/c/d/d-1/e confirm the pipeline produces
clean, varied, culturally-coherent names with zero post-processing
residue.
- ON DELETE CASCADE added to every atlas_* foreign key (atlas_body_grids,
atlas_cities, atlas_roads, atlas_railroads, atlas_pois, atlas_rivers,
atlas_oceans, atlas_mountain_ranges). Previously, deleting a body from
the bodies table or NULL-ing its terrain_reference would leave orphan
atlas rows forever — sync_markers_to_db only cleans up for bodies it
re-processes. The existing atlas tables in systems.db were dropped and
recreated with the new constraint; FK list now reports CASCADE.
- Atlas DDL deduplicated. systems-schema.sql is now the single source of
truth, bracketed by `-- BEGIN ATLAS INDEX` / `-- END ATLAS INDEX`
markers. generate_atlas.py reads that block via `_load_atlas_schema()`
and applies it at runtime, so there is no second copy of the DDL to
keep in sync. Adding a column requires one edit, not two.
- Uniqueness guard on city coordinates. `_enforce_unique_city_coords`
runs at the end of `place_cities` and deterministically perturbs any
duplicate (row, col) via a fixed spiral walk to the first free
walkable land cell. Rare in practice but the MST collapses to a
zero-distance edge otherwise, producing an empty A* path and silently
dropping the road.
- Grid header validation. `load_markers` now raises `AtlasGridMismatch`
if the loaded `grid: {w, h}` header does not match `GRID_W`/`GRID_H`.
Both the incremental-skip path and the regenerate path route through
this loader, so a hand-authored template shipping a different grid
size fails loud with a per-body error rather than silently producing
half-scale coordinates.
- Unused `seed_rng` parameter removed from `_analyse_terrain`. The
function is RNG-free (continent flood-fill, habitability scoring,
river-mouth dedup, cost grid — all pure functions of terrain). The
false API contract made it look like terrain analysis consumed RNG
state and had to be sequenced with downstream RNG use.
- `_score_capital_sites` river-mouth bonus now builds one sparse
accumulator with all mouth points set at once and runs a single
`gaussian_filter` call, instead of O(n_mouths) filter calls over
single-point images.
- `binary_dilation(analysis["land_mask"] == False)` replaced with the
idiomatic `~analysis["land_mask"]`, matching the convention used
elsewhere in the file.
- `atlas-generate` Makefile target now guards on
`SELECT COUNT(*) FROM bodies WHERE terrain_reference IS NOT NULL`.
On a fresh DB that count is 0 and the generator previously exited
"success" after processing zero bodies. The target now fails loud
with a pointer to `populate_terrain_reference.py`.
- `main.rs` SimRng defensive re-insertion gains a long comment
explaining the exact plugin-ordering hazard it guards against, so
future readers don't treat the line as dead code. Tied to #826.
Blocking PR #129 items 1, 2 (plus polish 16 and 17):
- D-191 §8 prose rewritten to match the code. The previous amendment said
positions were `{x, y}` objects against a "typically 1024 × 512" grid,
but the generator, the six hand-authored templates, and all 2394
procedural seed files ship `[row, col]` integer arrays against a
`{"w": 512, "h": 256}` grid. The decision doc is now aligned with
reality: positions are `[row, col]`, the storage grid is 512 × 256,
and the row-first ordering is called out explicitly so readers can
cross-reference NumPy/flood-fill/A*/cost-grid conventions.
- §8 now follows the D-094 amendment pattern. The superseded 2026-04-10
prose is preserved verbatim as "Original (superseded)" with a dated
Amendment block on top — future readers can see what changed and why
instead of silently losing the history.
- brands.toml header gains a short Phase 2 boundary note. The 4 anchor
brands come from D-189 §5; the additional ~23 brands from D-189 §11
are deliberately deferred to Phase 3 — Phase 2 only needs the demand-
node plumbing and V-B01..V-B06 validation exercised end-to-end.
- systems-schema.sql `bodies.terrain_reference` comment now pins the
repo-root-relative path convention (wiki/star-systems/<slug>/bodies/
<body_id>/heightmap.png) so the three downstream pipelines (populate,
atlas generator, client loader) share a documented contract instead
of drifting against an unwritten convention.
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
Adds tooling/planet-gen/populate_terrain_reference.py and runs it against
systems.db. Resolves each body's expected wiki heightmap path (repo-root
relative) and writes it into bodies.terrain_reference. Missing heightmaps
are logged for remediation.
Result: 2380/3240 bodies populated, 860 still missing heightmaps. This
unblocks generate_atlas.py (#832) for every body that has a heightmap.
Adds the brand layer per D-189 §5:
- Schema: brand_products, brand_inputs, system_fiscal, corp_financial_state,
corp_lifecycle_events (+ 5 indexes).
- Importer: reads wiki/economics/corporations/brands.toml, populates the
new tables, validates V-B01–V-B05 structural rules, and derives
system_fiscal for inhabited systems.
- Data: 8 brand_products, 16 brand_inputs, 301 system_fiscal rows.
Brand products are demand nodes — they consume commodities; they are not
commodities themselves (D-185). Depends on copy PR #127 for the corp
records referenced by brands.toml.
Replaces the hardcoded seed=0 with the seed received in StartupMessage,
threading it through SimulationPlugin -> EconomyPlugin / SimRng. Integration
test fixtures updated for the new SimulationPlugin { seed } signature.
Review fixes from Hoshe + Tyre:
- EntityRng seeding: splitmix64(seed) ^ splitmix64(id) instead of
splitmix64(seed + id) — eliminates collision class where adjacent
seeds produce identical streams
- AtomicBool ordering: Relaxed → SeqCst for shutdown flag (correct
on weakly-ordered architectures)
- Worker Drop: join handles instead of detaching threads
- Normalize stub API: remove ChunkGenWorker convenience wrappers,
use .pool consistently across all 3 workers
- trigger_monologue: downgrade &mut to shared refs (no-op anchor
was blocking parallel systems)
- Remove dead SimRng inserts from migrated monologue tests
- Document determinism gap on poll_worker_results
- Document bevy_tasks/rayon dep rationale in Cargo.toml
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Generic BackgroundWorkerPool<Req, Resp> with crossbeam channels, closure
handlers, and 3 delivery strategies (Fallback, GracefulDegrade, ModalLock).
Stub workers registered as Bevy resources:
- ChunkGenWorker (2 threads) — terrain/props/navmesh generation
- NpcPrepWorker (1 thread) — pre-compute NPC state for incoming areas
- OffscreenTickWorker (1 thread) — advance NPCs outside active tier
Tick loop integration:
- PreInput: poll_worker_results drains completed work
- PostSnapshot: push_worker_requests queues new work (no-op until Phase 5)
Handlers are stubs — real computation plugs in when the phases that need
them arrive. The infrastructure (channels, threads, push/poll, shutdown)
is real and tested.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Enable Bevy multi-threaded executor via bevy_tasks multi_threaded
feature. Systems within the same TickPhase that don't share mutable
resources now run in parallel automatically.
Add EntityRng component — per-entity ChaCha20Rng seeded from
world_seed + StableId via splitmix64 mixing. More deterministic than
shared SimRng (order-independent). Migrate all monologue systems
(4 of 13 SimRng consumers) to EntityRng, removing contention that
serialized them against conversation/dialogue systems.
Add rayon dependency (infrastructure only, no par_iter calls yet).
SimRng retained for world-level randomness: conversation pairing,
knowledge transfer, dialogue, ticker, storyteller.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
10-phase linear pipeline: PreInput → Input → Movement → Simulation →
Economy → Storyteller → Snapshot → PostSnapshot → Knowledge → TickAdvance.
Each system assigned to exactly one phase via .in_set(TickPhase::X).
Cross-phase .after()/.before() eliminated — only intra-phase ordering
remains. Prevents schedule cycles by construction.
SimulationPlugin refactored into sub-plugins by domain:
- InputPlugin (player actions, interactions, dialogue dispatch)
- MovementPlugin (pathfinding, movement validation, spatial indexing)
- SocialPlugin (conversations, sound, voice enrichment, follow state)
- EconomyPlugin (tâtonnement tick, IPC query serving)
- TimePlugin (chunk streaming, news ticker, tick advancement)
All other plugins (NPC, Knowledge, Perception, Storyteller, Settings,
Bridge) updated to use TickPhase assignments instead of cross-plugin
ordering constraints. BridgePlugin trimmed to bridge I/O concerns only.
Part A of #843. Parts B (multi-threaded executor) and C (background
workers) follow.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
tick_economy_simulation was ordered .after(advance_tick) which created a
cycle: observer_snapshot → send_snapshot → advance_tick → tick_economy →
observer_snapshot. Moved to .after(process_player_input) instead — the
economy checks time.tick which works regardless of advance order.
Also removed the .after(tick_economy_simulation) from handle_debug_commands
that was added during Sprint 34 review — same cycle root cause.
This is a symptom of #843 (ad-hoc ordering is fragile). Pair session
scheduled to replace with system set phases.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Widen EventPort tick methods from u32 to u64 (prevents overflow)
- Add is_identity() guard on hot-path String allocation in modifiers
- Replace Vec::remove(0) with VecDeque::pop_front() in price history
- Add .after(tick_economy_simulation) ordering for debug commands
- Fix stale PROTOCOL_VERSION assertion (20 → 21) in serialization test
- Add D-181 Phase 2 visibility scope comment on serve_econ_state_query
- Eliminate double lookup in rebuild_signals via single-pass extraction
- Track economy seed TODO with backlog ticket reference
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Expand overheard.ron from 5 zone types (16 conversations) to full
coverage of all 31 zone types with 94 new conversations. Each zone
type has 2-4 role-pair conversations following D-078 occlusion-
resilient authoring rules. Conversations carry investigative
knowledge payloads where appropriate — institutional cover-ups,
manifest discrepancies, suppressed inspections, and cultural signals
players can follow.
Zone types added: administrative_civil, administrative_judicial,
archaeological_site, commercial_market, commercial_transit,
detention_facility, diplomatic_elite, entertainment_venue,
extraction_platform, extraction_space, extraction_surface,
industrial_manufacturing, industrial_processing, medical_facility,
military_garrison, port_fishing, port_maritime, port_space,
port_surface, research_station, residential_surface, rural_aquaculture,
rural_orbital, rural_pastoral, security_checkpoint, wilderness_frontier.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- HashMap → BTreeMap throughout econ-sim for deterministic iteration (D-010)
- Fix cost_factor: multiplicative gate×zone instead of additive (trade.rs)
- Extract derive_seed to shared prng.rs, consolidate FNV-1a implementation
- Rename run_shock_test → run_no_explosion_check (not D-179 Test 3)
- Deduplicate cross-zone FX rate collection in Test 4
- Replace ORDER BY RANDOM() with deterministic ordering + ChaCha8Rng
- Make commodity coverage failure a hard error consistent with D-175
- Fix gap-fill off-by-one (4 corps → 3 when coverage = 0)
- Correct test report: EconEvent exists, location_type is body/station
All four D-179 stability tests still pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add D-180 EconEvent struct (target, effect, duration, visibility enums)
with no-op handler to satisfy #809 spec. Import MARK_PRIMARY and MIXED
currency zone assignments from wiki/economics/currency_zones.toml (D-172).
All four D-179 stability tests now pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds server/src/bin/generate_corporations and tooling/generate-corporations
wrapper. Generates ~5,000 Tier-3 corp instances from Tier-1/2 template
archetypes with seeded name generation (FNV-1a + corridor-weighted PRNG).
Writes wiki markdown stubs for each generated corporation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Extends import_economics.py from 6-step to 8-step pipeline:
- Loads wiki corporation markdown frontmatter as authoritative source
- Syncs corporations table (hard error on proper_name divergence per D-182)
- Populates corp_presence table (one row per corp × headquarters system)
- Splits validation: structural checks block commit; coverage checks post-commit
- D-175 Phase 2 gate: 3+ corps per commodity, 1+ corp per system with pop > 100K
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Extends systems.db schema with gate_links, commodities, production_chains,
chain_inputs, corp_presence, and currency_zones tables required for the
Phase 2 economics layer.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add 5 new tables: gate_links (668 bidirectional edges from star-map.json),
commodities (36 types from commodities.toml), production_chains (21
Leontief recipes), chain_inputs (52 input requirements), corp_presence
(empty, populated by future pipeline). Add currency_zone column to
star_systems (D-172), archetype columns to corporations (D-175).
New import pipeline: tooling/economy-db/import_economics.py reads
TOML/JSON source files and populates the DB. Idempotent — safe to
rerun via `make economy-db`.
Co-Authored-By: Claude Opus 4.6 <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>
20 changes across 18 systems implementing the approved remediation plan
from the cultural diversity audit (docs/design/cultural-diversity-audit.md).
DB changes (15 bodies/stations in systems.db):
- Thai bodies: Saikaew (GJ 635B), Nakhon Sung (GJ 667C), Doi Kaeo (GJ 117)
- Khmer bodies: Banteay (GJ 434), Srok Thmei (GJ 866A)
- Ukrainian: Chornozem body + Svoboda station (GJ 729)
- Caribbean: Lavenille body (GJ 873), Accompong Works station (GJ 406)
- Malay: Pulau Baru body (GJ 555), Balai station (GJ 449)
- Scientists: Huygens Platform (GJ 251), Ramanujan Station (GJ 699),
van Leeuwenhoek Station (GJ 820B), Turing Survey (GJ 663A)
Wiki calibration note additions:
- GJ 635B/667C/117/434: Thai cultural presence (survey teams, founding cohorts)
- GJ 866A/873: Khmer/Caribbean community naming origin
- GJ 729: Ukrainian founding cooperative in west_reach
- GJ 1245A/75: Igbo/Nigerian heritage explicitly acknowledged
- GJ 172: Malay kelong dual-heritage in Kaelong name
- GJ 601A: Russian secondary founding stream in Ostmark
Horizon stations not renamed. No corridor reassignments.
Conservative: systems with existing identity untouched.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Remove erroneous server/CHANGELOG.md and add the atlas split entry
to the project root CHANGELOG.md where it belongs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The refactor from &Commands to individual parameters exposed the
13-argument signature to clippy. Allow attribute is appropriate
here — the parameters map 1:1 to DB columns.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
