From 5619218e31e15d2552305c985de8904c9ae116b0 Mon Sep 17 00:00:00 2001 From: Jeroen Schweitzer Date: Wed, 15 Apr 2026 08:46:55 +0200 Subject: [PATCH] feat(tooling): generate_atlas.py city + infrastructure pipeline and atlas DB index (#832) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 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 --- Makefile | 6 +- server/data/systems-schema.sql | 105 ++ server/data/systems.db | Bin 1359872 -> 2097152 bytes tooling/planet-gen/generate_atlas.py | 1333 +++++++++++++++++ .../GJ-1/bodies/GJ1c/markers.json | 25 +- .../GJ-1/bodies/GJ1e-m1/markers.json | 25 +- .../GJ-1002/bodies/GJ1002b/markers.json | 25 +- .../GJ-1005A/bodies/GJ1005Ac/markers.json | 25 +- .../GJ-103/bodies/GJ103c/markers.json | 25 +- .../GJ-105A/bodies/GJ105Ac/markers.json | 25 +- .../GJ-1073/bodies/GJ1073c/markers.json | 25 +- .../GJ-1075/bodies/GJ1075c/markers.json | 25 +- .../GJ-107A/bodies/GJ107Ae/markers.json | 25 +- .../GJ-111/bodies/GJ111d/markers.json | 25 +- .../GJ-1111/bodies/GJ1111b/markers.json | 25 +- .../GJ-1116A/bodies/GJ1116Ac/markers.json | 575 ++++++- 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.../GJ-95/bodies/GJ95e/markers.json | 25 +- 265 files changed, 27782 insertions(+), 595 deletions(-) create mode 100644 tooling/planet-gen/generate_atlas.py diff --git a/Makefile b/Makefile index c88251275..65852a4f6 100644 --- a/Makefile +++ b/Makefile @@ -3,7 +3,7 @@ GODOT := $(shell command -v godot4 2>/dev/null || command -v godot 2>/dev/null) .PHONY: help setup build check-protocol client server game stop test lint lint-python setup-venv ci ci-client ci-server clean \ decisions-sync decisions-coverage decisions-active decisions-orphan \ db-backup db-install validate-content check-fact-ids setup-hooks \ - audit atlas-verify economy-db \ + audit atlas-verify economy-db atlas-generate \ pre-pr pre-pr-lint pre-pr-build pre-pr-test pre-pr-validate pre-pr-fixtures \ pre-pr-server pre-pr-client pre-pr-content \ fixtures-client fixtures-gauntlet golden-diff golden-update \ @@ -54,6 +54,7 @@ help: @echo " make check-fact-ids Check fact_id references against knowledge catalogs" @echo " make atlas-verify Verify atlas proposal JSONs (all in docs/atlas/proposals/)" @echo " make economy-db Import economics data into systems.db (TOML/JSON → SQLite)" + @echo " make atlas-generate Generate atlas city/road/rail markers for all inhabited bodies" @echo " make fixtures-client Generate GDScript->Rust cross-encoder fixtures (#475)" @echo " make golden-diff Show diff if golden file output has changed" @echo " make golden-update Regenerate golden file and stage for commit" @@ -327,6 +328,9 @@ db-install: economy-db: ## Import economics data (commodities, chains, gate links) into systems.db @python3 tooling/economy-db/import_economics.py +atlas-generate: ## Generate atlas markers (cities, roads, rail) for all inhabited bodies (#832) + @cd tooling/planet-gen && python3 generate_atlas.py --seed 42 + econ-sim: ## Build the economics simulation binary (Layer 1+2: Leontief + tâtonnement trade) @cargo build --manifest-path tooling/econ-sim/Cargo.toml --release @echo "Built: tooling/econ-sim/target/release/econ-sim" diff --git a/server/data/systems-schema.sql b/server/data/systems-schema.sql index cca51818f..3c7c2303c 100644 --- a/server/data/systems-schema.sql +++ b/server/data/systems-schema.sql @@ -330,6 +330,99 @@ CREATE TABLE IF NOT EXISTS corp_lifecycle_events ( created_at TEXT DEFAULT (datetime('now')) ); +-- Atlas index (D-191 §8, #832) — scalar metadata mirror of markers.json files. +-- Source of truth is wiki/star-systems/.../markers.json (next to the heightmap); +-- these tables exist so the atlas implant app and development queries don't +-- have to scan hundreds of JSON files. Polyline geometry stays in the files — +-- the DB only stores scalar/filterable fields + `point_count` as a rough length +-- proxy. Populated and refreshed by tooling/planet-gen/generate_atlas.py. + +-- Per-body grid dimensions (one row per body that has a markers.json). +-- Lets any query interpret the pixel coordinates below without touching disk. +CREATE TABLE IF NOT EXISTS atlas_body_grids ( + body_id TEXT PRIMARY KEY REFERENCES bodies(body_id), + grid_w INTEGER NOT NULL, + grid_h INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_cities ( + city_id TEXT PRIMARY KEY, -- "/" e.g. "GJ380c/city_0" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, -- "city_0", "city_1" — matches markers.json id + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, -- capital|city + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + population INTEGER NOT NULL DEFAULT 0, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_roads ( + road_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, -- commercial|highway|rural|... + point_count INTEGER NOT NULL, -- path length proxy (full geometry in markers.json) + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_railroads ( + railroad_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, -- passenger_freight|freight|maglev|... + point_count INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_pois ( + poi_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, -- transit|institutional|cultural|... + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_rivers ( + river_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', -- empty for untitled procedural rivers + point_count INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_oceans ( + water_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, -- lake|sea|ocean + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + area_fraction REAL NOT NULL DEFAULT 0.0, -- fraction of heightmap area covered + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_mountain_ranges ( + range_id TEXT PRIMARY KEY, -- "/" + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + peak_row INTEGER NOT NULL, + peak_col INTEGER NOT NULL, + area_cells INTEGER NOT NULL DEFAULT 0, + updated_at TEXT DEFAULT (datetime('now')) +); + -- Indexes -- astronomical_id removed: system_id IS the GJ catalog number CREATE INDEX IF NOT EXISTS idx_star_systems_sector ON star_systems(geographic_sector); @@ -364,3 +457,15 @@ CREATE INDEX IF NOT EXISTS idx_brand_products_origin ON brand_products(origin_sy CREATE INDEX IF NOT EXISTS idx_brand_products_tier ON brand_products(brand_tier); CREATE INDEX IF NOT EXISTS idx_brand_inputs_commodity ON brand_inputs(commodity_id); CREATE INDEX IF NOT EXISTS idx_corp_lifecycle_events_corp ON corp_lifecycle_events(corp_id); +-- Atlas index (D-191 §8, #832) +CREATE INDEX IF NOT EXISTS idx_atlas_cities_body ON atlas_cities(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_kind ON atlas_cities(kind); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_population ON atlas_cities(population); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_name ON atlas_cities(name); +CREATE INDEX IF NOT EXISTS idx_atlas_roads_body ON atlas_roads(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_railroads_body ON atlas_railroads(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_pois_body ON atlas_pois(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_pois_kind ON atlas_pois(kind); +CREATE INDEX IF NOT EXISTS idx_atlas_rivers_body ON atlas_rivers(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_oceans_body ON atlas_oceans(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_mountain_ranges_body ON atlas_mountain_ranges(body_id); diff --git a/server/data/systems.db b/server/data/systems.db index 9a6a5adc228c311d4e0f1621bdf943130c198c13..8cdfe7e43c9eba156f6e7df7bab2ebda3af112fe 100644 GIT binary patch literal 2097152 zcmeFa2YejG`9HjSeY@M~be1KZF)qUGs!lQ(pSo>X?ig%}I7w&eu%r`rl5H8=u+%^x z5Fmu!dkr-Z2qg}IB-B7cNkT87cR~^p{?E+p-OcXZ89O9DUh=L!_OrV)dsDvi%rnnC z&&=$q6-$!C3E%oudLTaR3o&CDi-n2#dupzdfM%2GKWNd3`!0u87`K=)Et0j*IZKz(W%(CW=VstyD) zsS0`cS>;2Z%tCTOx8|RTfQf*KfQf*KfQf*KfQf*KfQf*KfQf*KfQi6&9Dz2$>b0~j 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infrastructure +generation for The Settled Reach Atlas (Phase 3, D-191 §3, §8, §9, #832). + +Pipeline per body: + 1. Load body definition from body index.md frontmatter + 2. Simulate terrain via planet_simulation.simulate() + 3. Analyse terrain: continents, habitability, river mouths, cost grid + 4. Place cities sequentially (capital first, corridor growth, quadrant spread) + 5. Generate infrastructure: A* roads + rail MST connecting all cities + 6. Place gate terminal POI at largest population centre (occasionally scatter) + 7. Write updated markers.json (preserves existing rivers/oceans/mountains) + +City names are left as empty strings; gemma_naming.py (#833) fills them. + +Usage: + python3 tooling/planet-gen/generate_atlas.py + python3 tooling/planet-gen/generate_atlas.py --body GJ380c + python3 tooling/planet-gen/generate_atlas.py --force + python3 tooling/planet-gen/generate_atlas.py --dry-run + python3 tooling/planet-gen/generate_atlas.py --seed 12345 + +Decisions: D-191 (atlas pipeline), D-188 (planet_class field name) +""" + +import argparse +import hashlib +import heapq +import json +import math +import os +import sys +import time +from pathlib import Path + +# --------------------------------------------------------------------------- +# Venv bootstrap +# --------------------------------------------------------------------------- +TOOLING_DIR = Path(__file__).resolve().parent +REPO_ROOT = (TOOLING_DIR / ".." / "..").resolve() +_venv_python = REPO_ROOT / ".venv" / "bin" / "python" +if _venv_python.exists() and Path(sys.executable).resolve() != _venv_python.resolve(): + os.execv(str(_venv_python), [str(_venv_python)] + sys.argv) + +import numpy as np +import sqlite3 +import yaml + +from planet_simulation import simulate + +# --------------------------------------------------------------------------- +# Constants +# --------------------------------------------------------------------------- + +GRID_W = 512 +GRID_H = 256 + +# Terrain cost grid (D-191 §3: A* on terrain cost grid) +COST_WATER = 1e9 # impassable +COST_MOUNTAIN = 10.0 # expensive +COST_RIVER = 0.5 # cheap corridor +COST_FLAT = 1.0 # baseline land + +# City placement +MOUNTAIN_ELEV_THRESHOLD = 0.55 # normalised elevation above sea_level → mountain + +SETTLEMENT_PATTERN_MODIFIERS = { + "urban_concentrated": -1, + "dispersed_rural": +1, + "orbital_only": None, # no surface cities + "domed": None, # special: forced to 1 + "cave": None, # special: forced to 1 +} + +# Quadrant distribution (D-191 §3: after 2 cities in same quadrant, prefer others) +QUADRANT_SATURATION = 2 + +DB_PATH = REPO_ROOT / "server" / "data" / "systems.db" +WIKI_SYSTEMS = REPO_ROOT / "wiki" / "star-systems" + + +# --------------------------------------------------------------------------- +# Atlas index tables (D-191 §8, #832) — scalar mirror of markers.json. +# Duplicated from server/data/systems-schema.sql so generate_atlas.py works +# against any DB state without needing a wiki_sync first. Keep in sync with +# the canonical schema when adding columns. +# --------------------------------------------------------------------------- +ATLAS_MIGRATION_SQL = """ +CREATE TABLE IF NOT EXISTS atlas_body_grids ( + body_id TEXT PRIMARY KEY REFERENCES bodies(body_id), + grid_w INTEGER NOT NULL, + grid_h INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_cities ( + city_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + population INTEGER NOT NULL DEFAULT 0, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_roads ( + road_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, + point_count INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_railroads ( + railroad_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, + point_count INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_pois ( + poi_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_rivers ( + river_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + point_count INTEGER NOT NULL, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_oceans ( + water_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + kind TEXT NOT NULL, + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + area_fraction REAL NOT NULL DEFAULT 0.0, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE TABLE IF NOT EXISTS atlas_mountain_ranges ( + range_id TEXT PRIMARY KEY, + body_id TEXT NOT NULL REFERENCES bodies(body_id), + local_id TEXT NOT NULL, + name TEXT NOT NULL DEFAULT '', + center_row INTEGER NOT NULL, + center_col INTEGER NOT NULL, + peak_row INTEGER NOT NULL, + peak_col INTEGER NOT NULL, + area_cells INTEGER NOT NULL DEFAULT 0, + updated_at TEXT DEFAULT (datetime('now')) +); + +CREATE INDEX IF NOT EXISTS idx_atlas_cities_body ON atlas_cities(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_kind ON atlas_cities(kind); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_population ON atlas_cities(population); +CREATE INDEX IF NOT EXISTS idx_atlas_cities_name ON atlas_cities(name); +CREATE INDEX IF NOT EXISTS idx_atlas_roads_body ON atlas_roads(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_railroads_body ON atlas_railroads(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_pois_body ON atlas_pois(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_pois_kind ON atlas_pois(kind); +CREATE INDEX IF NOT EXISTS idx_atlas_rivers_body ON atlas_rivers(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_oceans_body ON atlas_oceans(body_id); +CREATE INDEX IF NOT EXISTS idx_atlas_mountain_ranges_body ON atlas_mountain_ranges(body_id); +""" + + +def ensure_atlas_schema(conn: sqlite3.Connection) -> None: + """Apply CREATE TABLE / INDEX IF NOT EXISTS for all atlas_* tables.""" + conn.executescript(ATLAS_MIGRATION_SQL) + + +def _first_int(values, default: int = 0) -> int: + """Coerce the first numeric element of an iterable (e.g. [r, c]) to int.""" + try: + return int(values[0]) + except (TypeError, ValueError, IndexError): + return default + + +def sync_markers_to_db( + conn: sqlite3.Connection, + body_id: str, + markers: dict, +) -> dict: + """Refresh atlas_* rows for a single body from its markers.json contents. + + Deletes any existing rows for the body (cascading across all seven atlas + tables) and re-inserts from the markers dict. Returns a count dict for + reporting. + """ + # Wipe existing rows for this body — fully deterministic rebuild. + for table in ( + "atlas_cities", + "atlas_roads", + "atlas_railroads", + "atlas_pois", + "atlas_rivers", + "atlas_oceans", + "atlas_mountain_ranges", + ): + conn.execute(f"DELETE FROM {table} WHERE body_id = ?", (body_id,)) + + grid = markers.get("grid") or {} + grid_w = int(grid.get("w", GRID_W)) + grid_h = int(grid.get("h", GRID_H)) + conn.execute( + """INSERT INTO atlas_body_grids (body_id, grid_w, grid_h, updated_at) + VALUES (?, ?, ?, datetime('now')) + ON CONFLICT(body_id) DO UPDATE SET + grid_w = excluded.grid_w, + grid_h = excluded.grid_h, + updated_at = excluded.updated_at""", + (body_id, grid_w, grid_h), + ) + + counts = { + "cities": 0, "roads": 0, "railroads": 0, "pois": 0, + "rivers": 0, "oceans": 0, "mountain_ranges": 0, + } + + for city in markers.get("cities") or []: + local = city.get("id") + if not local: + continue + center = city.get("center") or [0, 0] + conn.execute( + """INSERT INTO atlas_cities + (city_id, body_id, local_id, name, kind, center_row, center_col, population) + VALUES (?, ?, ?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + city.get("name") or "", + city.get("kind") or "city", + _first_int(center, 0), + _first_int(center[1:] if len(center) > 1 else [0], 0), + int(city.get("population") or 0), + ), + ) + counts["cities"] += 1 + + for road in markers.get("roads") or []: + local = road.get("id") + if not local: + continue + path = road.get("path") or [] + conn.execute( + """INSERT INTO atlas_roads + (road_id, body_id, local_id, name, kind, point_count) + VALUES (?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + road.get("name") or "", + road.get("kind") or "commercial", + len(path), + ), + ) + counts["roads"] += 1 + + for rail in markers.get("railroads") or []: + local = rail.get("id") + if not local: + continue + path = rail.get("path") or [] + conn.execute( + """INSERT INTO atlas_railroads + (railroad_id, body_id, local_id, name, kind, point_count) + VALUES (?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + rail.get("name") or "", + rail.get("kind") or "passenger_freight", + len(path), + ), + ) + counts["railroads"] += 1 + + for poi in markers.get("pois") or []: + local = poi.get("id") + if not local: + continue + center = poi.get("center") or [0, 0] + conn.execute( + """INSERT INTO atlas_pois + (poi_id, body_id, local_id, name, kind, center_row, center_col) + VALUES (?, ?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + poi.get("name") or "", + poi.get("kind") or "transit", + _first_int(center, 0), + _first_int(center[1:] if len(center) > 1 else [0], 0), + ), + ) + counts["pois"] += 1 + + for river in markers.get("rivers") or []: + local = river.get("id") + if not local: + continue + path = river.get("path") or [] + conn.execute( + """INSERT INTO atlas_rivers + (river_id, body_id, local_id, name, point_count) + VALUES (?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + river.get("name") or "", + len(path), + ), + ) + counts["rivers"] += 1 + + for water in markers.get("oceans") or []: + local = water.get("id") + if not local: + continue + center = water.get("center") or [0, 0] + conn.execute( + """INSERT INTO atlas_oceans + (water_id, body_id, local_id, name, kind, center_row, center_col, area_fraction) + VALUES (?, ?, ?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + water.get("name") or "", + water.get("kind") or "ocean", + _first_int(center, 0), + _first_int(center[1:] if len(center) > 1 else [0], 0), + float(water.get("area_fraction") or 0.0), + ), + ) + counts["oceans"] += 1 + + for rng_feat in markers.get("mountain_ranges") or []: + local = rng_feat.get("id") + if not local: + continue + center = rng_feat.get("center") or [0, 0] + peak = rng_feat.get("peak") or center + conn.execute( + """INSERT INTO atlas_mountain_ranges + (range_id, body_id, local_id, name, center_row, center_col, + peak_row, peak_col, area_cells) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)""", + ( + f"{body_id}/{local}", + body_id, + local, + rng_feat.get("name") or "", + _first_int(center, 0), + _first_int(center[1:] if len(center) > 1 else [0], 0), + _first_int(peak, 0), + _first_int(peak[1:] if len(peak) > 1 else [0], 0), + int(rng_feat.get("area_cells") or 0), + ), + ) + counts["mountain_ranges"] += 1 + + return counts + + +# --------------------------------------------------------------------------- +# Grid helpers +# --------------------------------------------------------------------------- + +# markers.json is stored in pixel space per D-191 §8 — the canonical format is +# `center: [row, col]` and `path: [[row, col], ...]`. Lat/lon is a display-time +# derivation in the atlas UI, not a storage format. + + +def quadrant(row: int, col: int) -> int: + """Return quadrant index 0-3: NW=0, NE=1, SW=2, SE=3.""" + h = 0 if row < GRID_H // 2 else 1 + w = 0 if col < GRID_W // 2 else 1 + return h * 2 + w + + +def body_id_salt(body_id: str) -> int: + """Deterministic per-body salt from body_id.""" + return int(hashlib.sha256(body_id.encode()).hexdigest()[:8], 16) + + +# --------------------------------------------------------------------------- +# Body definition loading +# --------------------------------------------------------------------------- + +def load_body_def(body_dir: Path) -> dict | None: + """Load body definition from body index.md frontmatter.""" + index_md = body_dir / "index.md" + if not index_md.exists(): + return None + content = index_md.read_text() + if not content.startswith("---"): + return None + try: + end = content.index("---", 3) + bd = yaml.safe_load(content[3:end]) + except (ValueError, yaml.YAMLError): + return None + if not bd or "id" not in bd or "planet_class" not in bd: + return None + return bd + + +# --------------------------------------------------------------------------- +# Terrain analysis +# --------------------------------------------------------------------------- + +def _analyse_terrain(terrain: dict, seed_rng: np.random.Generator) -> dict: + """Analyse terrain for atlas city placement. + + Returns: + continents: list of continent dicts {cells, area, id} + habitability: float32 (H, W) — 0=uninhabitable, 1=ideal + river_mouths: list of (row, col) — land cells where rivers meet water + cost_grid: float32 (H, W) — A* traversal cost per cell + continent_map: int32 (H, W) — continent label per land cell (-1=water) + land_mask: bool (H, W) + """ + from scipy.ndimage import label + + elevation = terrain["elevation"] + temperature = terrain["temperature"] + moisture = terrain["moisture"] + surface_water = terrain["surface_water"] + river_grid = terrain.get("river_grid", np.zeros((GRID_H, GRID_W), bool)) + sea_level = terrain["sea_level"] + + land = ~surface_water + + # Normalised elevation above sea level + elev_norm = np.where(land, + (elevation - sea_level) / (1.0 - sea_level + 1e-9), + 0.0) + mountains = land & (elev_norm > MOUNTAIN_ELEV_THRESHOLD) + + # --- Continent detection (flood-fill connected land) --- + continent_labels, n_continents = label(land) + continents = [] + for lbl in range(1, n_continents + 1): + mask = continent_labels == lbl + area = int(mask.sum()) + if area < 50: + continue # ignore tiny rock outcroppings + ys, xs = np.where(mask) + continents.append({ + "id": lbl, + "area": area, + "cells": list(zip(ys.tolist(), xs.tolist())), + "_center": (int(ys.mean()), int(xs.mean())), + }) + continents.sort(key=lambda c: c["area"], reverse=True) + + continent_map = np.where(land, continent_labels, -1).astype(np.int32) + + # --- Habitability scoring --- + # temperature: 0.3–0.7 is ideal (mid-range) + temp_score = 1.0 - np.abs(temperature - 0.5) * 2.0 + temp_score = np.clip(temp_score, 0.0, 1.0) + + # moisture: 0.3–0.6 is ideal + moist_score = np.where( + moisture < 0.3, moisture / 0.3, + np.where(moisture < 0.6, 1.0, 1.0 - (moisture - 0.6) / 0.4) + ) + moist_score = np.clip(moist_score, 0.0, 1.0) + + # slope: low slope = ideal (flat land) + dy = np.gradient(elevation, axis=0) + dx = np.gradient(elevation, axis=1) + slope = np.sqrt(dy**2 + dx**2) + slope_max = float(slope[land].max()) if land.any() else 1.0 + slope_score = 1.0 - np.clip(slope / (slope_max + 1e-9), 0.0, 1.0) + + habitability = (temp_score * 0.4 + moist_score * 0.3 + slope_score * 0.3) + habitability = np.where(land, habitability, 0.0).astype(np.float32) + + # Coastal access bonus: land cells adjacent to water + water_f = surface_water.astype(np.float32) + from scipy.ndimage import uniform_filter + water_proximity = uniform_filter(water_f, size=7) + coastal_bonus = np.clip(water_proximity * 2.0, 0.0, 0.3) + habitability = np.where(land, habitability + coastal_bonus.astype(np.float32), 0.0) + habitability = np.clip(habitability, 0.0, 1.0).astype(np.float32) + + # --- River mouth detection --- + # A river mouth is a river-grid cell that is land but adjacent to water + river_mouths = [] + if river_grid.any() and surface_water.any(): + # Dilate surface_water by 1 cell + from scipy.ndimage import binary_dilation + water_dilated = binary_dilation(surface_water) + # River cells on land that touch water + mouth_mask = river_grid & land & water_dilated + rys, rxs = np.where(mouth_mask) + # Deduplicate by proximity (cluster to strongest mouth) + if len(rys) > 0: + used = np.zeros(len(rys), bool) + for i in range(len(rys)): + if used[i]: + continue + used[i] = True + r, c = int(rys[i]), int(rxs[i]) + # Suppress nearby duplicates within radius 10 + dist = np.sqrt((rys - r)**2 + (rxs - c)**2) + used[dist < 10] = True + river_mouths.append((r, c)) + + # --- Terrain cost grid (D-191 §3) --- + cost_grid = np.full((GRID_H, GRID_W), COST_FLAT, dtype=np.float32) + cost_grid[surface_water] = COST_WATER + cost_grid[mountains] = COST_MOUNTAIN + cost_grid[river_grid & land] = COST_RIVER + + return { + "continents": continents, + "habitability": habitability, + "river_mouths": river_mouths, + "cost_grid": cost_grid, + "continent_map": continent_map, + "land_mask": land, + } + + +# --------------------------------------------------------------------------- +# City count computation (D-191 §8) +# --------------------------------------------------------------------------- + +def distribute_population(total_population: int, n_cities: int) -> list[int]: + """Split a body's population across n_cities using a simple geometric decay. + + Capital gets ~50%, each subsequent city gets half of what the previous one + did, and the remaining tail is absorbed by the capital so totals still match. + Returns a list of int populations (rounded to the nearest 10,000 for realism). + """ + if n_cities <= 0 or total_population <= 0: + return [] + if n_cities == 1: + return [int(total_population)] + + weights = [0.5 ** i for i in range(n_cities)] + weight_sum = sum(weights) + shares = [w / weight_sum for w in weights] + + populations = [] + remaining = total_population + for i, share in enumerate(shares): + if i == len(shares) - 1: + pop = remaining + else: + pop = int(round(total_population * share / 10_000) * 10_000) + pop = min(pop, remaining - (len(shares) - i - 1) * 10_000) + pop = max(pop, 10_000) + populations.append(pop) + remaining -= pop + return populations + + +def compute_city_count(population: int, settlement_pattern: str | None) -> int: + """Compute number of cities for a body. + + Base count: floor(log10(pop / 1_000_000)), minimum 1 if inhabited. + Settlement pattern modifiers from D-191 §8. + """ + if population <= 0: + return 0 + + if settlement_pattern in ("orbital_only",): + return 0 + + if settlement_pattern in ("domed", "cave"): + return 1 + + base = int(math.floor(math.log10(max(population, 1_000_001) / 1_000_000))) + base = max(1, base) # at least 1 city if inhabited + + mod = SETTLEMENT_PATTERN_MODIFIERS.get(settlement_pattern, 0) or 0 + result = max(1, base + mod) + return min(result, 12) # cap at 12 to avoid overcrowding small maps + + +# --------------------------------------------------------------------------- +# City placement (D-191 §3) +# --------------------------------------------------------------------------- + +def _score_capital_sites( + analysis: dict, + rng: np.random.Generator, + noise_factor: float = 0.25, +) -> np.ndarray: + """Score all land cells for capital placement. + + Capital scoring factors: + - Habitability score (temperature, moisture, slope) + - River mouth bonus (~50% of capitals at river mouths per D-191 §3) + - ±25% noise variation per seed + """ + habitability = analysis["habitability"] + land = analysis["land_mask"] + river_mouths = analysis["river_mouths"] + + # Base score + score = habitability.copy() + + # River mouth bonus (makes ~50% of capital choices go there) + river_bonus = np.zeros((GRID_H, GRID_W), dtype=np.float32) + for r, c in river_mouths: + # Smooth bonus around the river mouth + from scipy.ndimage import gaussian_filter + tmp = np.zeros((GRID_H, GRID_W), np.float32) + tmp[r, c] = 1.0 + river_bonus += gaussian_filter(tmp, sigma=8.0) + if river_mouths: + river_bonus = river_bonus / (river_bonus.max() + 1e-9) + score = score * 0.5 + river_bonus * 0.5 + + # ±25% noise for seed variation (D-191 §3) + noise = rng.uniform(1.0 - noise_factor, 1.0 + noise_factor, + size=(GRID_H, GRID_W)).astype(np.float32) + score = score * noise + score = np.where(land, score, 0.0) + + return score + + +def _quadrant_counts(placed: list[tuple[int, int]]) -> np.ndarray: + """Return count of placed cities per quadrant (4 quadrants).""" + counts = np.zeros(4, dtype=int) + for r, c in placed: + counts[quadrant(r, c)] += 1 + return counts + + +def _dijkstra_from_sources( + cost_grid: np.ndarray, + sources: list[tuple[int, int]], +) -> np.ndarray: + """Multi-source Dijkstra on cost_grid from all source cells. + + Returns distance array (H, W). Uses 8-connectivity. + """ + dist = np.full((GRID_H, GRID_W), np.inf, dtype=np.float64) + heap = [] + for r, c in sources: + if cost_grid[r, c] < 1e8: + dist[r, c] = 0.0 + heapq.heappush(heap, (0.0, r, c)) + + while heap: + d, r, c = heapq.heappop(heap) + if d > dist[r, c]: + continue + for dr in (-1, 0, 1): + for dc in (-1, 0, 1): + if dr == 0 and dc == 0: + continue + nr, nc = r + dr, c + dc + if nr < 0 or nr >= GRID_H or nc < 0 or nc >= GRID_W: + continue + edge = cost_grid[nr, nc] + if edge >= 1e8: + continue + step = math.sqrt(2) if dr != 0 and dc != 0 else 1.0 + nd = d + edge * step + if nd < dist[nr, nc]: + dist[nr, nc] = nd + heapq.heappush(heap, (nd, nr, nc)) + + return dist + + +def place_cities( + analysis: dict, + n_cities: int, + rng: np.random.Generator, + noise_factor: float = 0.25, + body_population: int = 0, +) -> list[dict]: + """Place cities sequentially per D-191 §3. + + Returns a list of city dicts in the canonical markers.json schema + (D-191 §8 — pixel space): + {id, name, kind, center: [row, col], population} + with internal `_row`, `_col`, `_continent_id` fields used by downstream + infrastructure generation. The underscore-prefixed fields are stripped + before writing to disk. + """ + if n_cities <= 0: + return [] + + continents = analysis["continents"] + habitability = analysis["habitability"] + cost_grid = analysis["cost_grid"] + continent_map = analysis["continent_map"] + land = analysis["land_mask"] + + if not continents: + return [] + + placed_coords: list[tuple[int, int]] = [] + placed_continents: set[int] = set() + cities = [] + + # ── 1. Capital ────────────────────────────────────────────────────────── + capital_score = _score_capital_sites(analysis, rng, noise_factor) + + # Suppress edge pixels (poles tend to be degenerate) + capital_score[:5, :] = 0 + capital_score[-5:, :] = 0 + + best = int(np.argmax(capital_score)) + cap_r, cap_c = divmod(best, GRID_W) + + continent_id = int(continent_map[cap_r, cap_c]) if continent_map[cap_r, cap_c] > 0 else 1 + placed_coords.append((cap_r, cap_c)) + placed_continents.add(continent_id) + + cities.append({ + "id": "city_0", + "name": "", + "kind": "capital", + "center": [cap_r, cap_c], + "population": 0, # filled after all cities are placed + "_row": cap_r, + "_col": cap_c, + "_continent_id": continent_id, + }) + + if n_cities == 1: + _assign_populations(cities, body_population) + return cities + + # Minimum exclusion radius: varies by city count (more cities → tighter spacing) + excl_radius = max(20, GRID_H // (n_cities + 1)) + + # ── 2. Subsequent cities (corridor growth + quadrant spread) ──────────── + for i in range(1, n_cities): + q_counts = _quadrant_counts(placed_coords) + + # Multi-source Dijkstra from all placed cities along cost grid + corridor_dist = _dijkstra_from_sources(cost_grid, placed_coords) + + # Score for new city: habitability weighted by corridor distance + # Prefer connected but not too-close (distance 50–300 from existing cities) + ideal_min = excl_radius + ideal_max = min(300, excl_radius * 6) + dist_score = np.where( + (corridor_dist >= ideal_min) & (corridor_dist < ideal_max), + 1.0 - (corridor_dist - ideal_min) / (ideal_max - ideal_min + 1e-9), + np.where(corridor_dist < ideal_min, 0.0, 0.1), + ).astype(np.float32) + + site_score = habitability * 0.6 + dist_score * 0.4 + + # Quadrant penalty: if a quadrant is already at QUADRANT_SATURATION, + # reduce its score so subsequent cities prefer emptier quadrants. + q_penalty = np.ones((GRID_H, GRID_W), np.float32) + for qr in (0, 1): + for qc in (0, 1): + q_idx = qr * 2 + qc + if q_counts[q_idx] >= QUADRANT_SATURATION: + rlo, rhi = (0, GRID_H // 2) if qr == 0 else (GRID_H // 2, GRID_H) + clo, chi = (0, GRID_W // 2) if qc == 0 else (GRID_W // 2, GRID_W) + q_penalty[rlo:rhi, clo:chi] = 0.3 + + site_score = site_score * q_penalty + + # New-continent bonus at cities 3-4 (D-191 §3: port on new continent) + if i in (2, 3) and len(continents) > 1: + unexplored_conts = [ + c for c in continents + if c["id"] not in placed_continents and c["area"] > 200 + ] + if unexplored_conts: + cont = unexplored_conts[0] + # Find coastline cells on that continent + coast_bonus = np.zeros((GRID_H, GRID_W), np.float32) + cont_mask = continent_map == cont["id"] + # Coastal cells: continent land cells adjacent to water + from scipy.ndimage import binary_dilation + water_dilated = binary_dilation(analysis["land_mask"] == False) # noqa: E712 + coast_mask = cont_mask & water_dilated + coast_bonus[coast_mask] = 0.4 + site_score = site_score + coast_bonus + + # ±25% noise + noise = rng.uniform(1.0 - noise_factor, 1.0 + noise_factor, + size=(GRID_H, GRID_W)).astype(np.float32) + site_score = site_score * noise + site_score = np.where(land, site_score, 0.0) + + # Suppress already-placed city zones + for pr, pc in placed_coords: + rlo = max(0, pr - excl_radius) + rhi = min(GRID_H, pr + excl_radius) + clo = max(0, pc - excl_radius) + chi = min(GRID_W, pc + excl_radius) + site_score[rlo:rhi, clo:chi] = 0.0 + + if site_score.max() < 1e-6: + break # no more habitable land + + best = int(np.argmax(site_score)) + r, c = divmod(best, GRID_W) + cont_id = int(continent_map[r, c]) if continent_map[r, c] > 0 else continent_id + placed_coords.append((r, c)) + placed_continents.add(cont_id) + + cities.append({ + "id": f"city_{i}", + "name": "", + "kind": "city", + "center": [r, c], + "population": 0, + "_row": r, + "_col": c, + "_continent_id": cont_id, + }) + + _assign_populations(cities, body_population) + return cities + + +def _assign_populations(cities: list[dict], body_population: int) -> None: + """Fill the `population` field on each city from the body's total.""" + pops = distribute_population(body_population, len(cities)) + for city, pop in zip(cities, pops): + city["population"] = int(pop) + + +# --------------------------------------------------------------------------- +# Infrastructure generation (D-191 §3) +# --------------------------------------------------------------------------- + +def _astar_path( + cost_grid: np.ndarray, + start: tuple[int, int], + goal: tuple[int, int], +) -> list[tuple[int, int]]: + """A* pathfinding on cost_grid (8-connectivity). Returns path or [].""" + sr, sc = start + gr, gc = goal + + def h(r, c): + return math.sqrt((r - gr)**2 + (c - gc)**2) + + dist = {(sr, sc): 0.0} + prev = {} + heap = [(h(sr, sc), 0.0, sr, sc)] + + while heap: + _, d, r, c = heapq.heappop(heap) + if r == gr and c == gc: + # Reconstruct path + path = [] + cur = (gr, gc) + while cur in prev: + path.append(cur) + cur = prev[cur] + path.append((sr, sc)) + path.reverse() + return path + if d > dist.get((r, c), float("inf")) + 1e-9: + continue + for dr in (-1, 0, 1): + for dc in (-1, 0, 1): + if dr == 0 and dc == 0: + continue + nr, nc = r + dr, c + dc + if nr < 0 or nr >= GRID_H or nc < 0 or nc >= GRID_W: + continue + edge = cost_grid[nr, nc] + if edge >= 1e8: + continue + step = math.sqrt(2) if dr != 0 and dc != 0 else 1.0 + nd = d + edge * step + if nd < dist.get((nr, nc), float("inf")): + dist[(nr, nc)] = nd + prev[(nr, nc)] = (r, c) + heapq.heappush(heap, (nd + h(nr, nc), nd, nr, nc)) + + return [] + + +def _mst_edges(n_cities: int, city_coords: list[tuple[int, int]]) -> list[tuple[int, int]]: + """Prim's MST on Euclidean distances between cities. Returns list of (i, j) edges.""" + if n_cities <= 1: + return [] + + in_tree = {0} + edges = [] + + while len(in_tree) < n_cities: + best_cost = float("inf") + best_edge = None + for i in in_tree: + for j in range(n_cities): + if j in in_tree: + continue + r1, c1 = city_coords[i] + r2, c2 = city_coords[j] + cost = math.sqrt((r1 - r2)**2 + (c1 - c2)**2) + if cost < best_cost: + best_cost = cost + best_edge = (i, j) + if best_edge is None: + break + edges.append(best_edge) + in_tree.add(best_edge[1]) + + return edges + + +def _subsample_path(path: list[tuple[int, int]], max_points: int = 64) -> list[list[int]]: + """Subsample a path to at most max_points for compact JSON storage.""" + if len(path) <= max_points: + return [[r, c] for r, c in path] + step = len(path) / max_points + result = [] + for i in range(max_points): + idx = int(i * step) + r, c = path[idx] + result.append([r, c]) + # Always include endpoint + r, c = path[-1] + if result[-1] != [r, c]: + result.append([r, c]) + return result + + +def generate_infrastructure( + analysis: dict, + cities: list[dict], +) -> tuple[list[dict], list[dict]]: + """Generate roads and railroads connecting cities. + + Roads: A* paths on terrain cost grid connecting each MST edge. + Railroads: same MST edges but via a cost grid favouring corridors. + + Returns (roads, railroads) — each is a list of path dicts. + """ + if len(cities) < 2: + return [], [] + + cost_grid = analysis["cost_grid"] + city_coords = [((c["_row"], c["_col"])) for c in cities] + n = len(city_coords) + + mst = _mst_edges(n, city_coords) + + roads = [] + railroads = [] + road_cost = cost_grid.copy() + # Rail cost: slightly prefer following roads (lower cost after first pass) + rail_cost = cost_grid.copy() + + for edge_idx, (i, j) in enumerate(mst): + start = city_coords[i] + goal = city_coords[j] + + road_path = _astar_path(road_cost, start, goal) + if road_path: + roads.append({ + "id": f"road_{edge_idx}", + "name": "", + "kind": "commercial", + "path": _subsample_path(road_path), + }) + # After placing a road, reduce cost along it for rail (rail follows roads) + for r, c in road_path: + if rail_cost[r, c] < 1e8: + rail_cost[r, c] = max(0.3, rail_cost[r, c] * 0.5) + + rail_path = _astar_path(rail_cost, start, goal) + if rail_path: + railroads.append({ + "id": f"railroad_{edge_idx}", + "name": "", + "kind": "passenger_freight", + "path": _subsample_path(rail_path), + }) + + return roads, railroads + + +# --------------------------------------------------------------------------- +# Gate terminal POI placement (D-191 §8) +# --------------------------------------------------------------------------- + +def place_gate_terminal( + cities: list[dict], + rng: np.random.Generator, +) -> list[dict]: + """Place a gate terminal POI at the largest population centre (sometimes scatter). + + Primary placement: city 0 (capital, largest population center). + Occasional scatter: 15% chance to a secondary city (per D-191 §8). + + Returns a list with a single POI dict in the canonical template schema: + `{id, name, kind: "transit", center: [row, col]}`. The name is left empty + for gemma_naming.py (#833) to fill. + """ + if not cities: + return [] + + scatter_prob = 0.15 + gate_city = cities[0] + if len(cities) > 1 and rng.random() < scatter_prob: + gate_city = cities[int(rng.integers(1, len(cities)))] + + return [{ + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [gate_city["_row"], gate_city["_col"]], + }] + + +# --------------------------------------------------------------------------- +# Markers.json update +# --------------------------------------------------------------------------- + +def load_markers(body_dir: Path) -> dict: + """Load existing markers.json, return empty structure if missing.""" + markers_path = body_dir / "markers.json" + if markers_path.exists(): + with open(markers_path) as f: + return json.load(f) + return { + "grid": {"w": GRID_W, "h": GRID_H}, + "rivers": [], + "oceans": [], + "mountain_ranges": [], + "roads": [], + "cities": [], + "railroads": [], + "pois": [], + } + + +# --------------------------------------------------------------------------- +# DB queries +# --------------------------------------------------------------------------- + +def query_inhabited_bodies(conn: sqlite3.Connection) -> list[dict]: + """Query systems.db for all inhabited bodies with terrain_reference set.""" + rows = conn.execute(""" + SELECT + b.body_id, + b.system_id, + b.terrain_reference, + b.population, + b.settlement_pattern, + b.planet_class, + b.economic_role, + COALESCE(b.cultural_corridor, s.cultural_corridor) AS cultural_corridor + FROM bodies b + JOIN star_systems s ON b.system_id = s.system_id + WHERE b.inhabited = 1 + AND b.terrain_reference IS NOT NULL + AND b.population > 0 + ORDER BY b.system_id, b.body_id + """).fetchall() + + return [ + { + "body_id": row[0], + "system_id": row[1], + "terrain_reference": row[2], + "population": row[3] or 0, + "settlement_pattern": row[4], + "planet_class": row[5], + "economic_role": row[6], + "cultural_corridor": row[7], + } + for row in rows + ] + + +# --------------------------------------------------------------------------- +# Main pipeline +# --------------------------------------------------------------------------- + +def process_body( + body_info: dict, + seed: int, + noise_factor: float, + dry_run: bool, + force: bool, + verbose: bool, +) -> dict: + """Process one body. + + Returns a dict with: + status: 'generated' | 'already_populated' | 'gas_giant' | 'error' + message: human-readable detail (on error) + markers: the markers.json dict if one was produced or loaded (for DB sync) + """ + body_id = body_info["body_id"] + terrain_ref = body_info["terrain_reference"] + population = body_info["population"] + settlement_pattern = body_info["settlement_pattern"] + + # Locate body directory from terrain_reference (repo-root relative). + body_dir = REPO_ROOT / Path(terrain_ref).parent + + if not body_dir.exists(): + return {"status": "error", "message": f"body_dir not found: {body_dir}"} + + # Incremental check: if the markers file already has cities, we keep it as + # the source of truth and return it for DB sync instead of regenerating. + if not force: + markers_path = body_dir / "markers.json" + if markers_path.exists(): + try: + with open(markers_path) as f: + existing = json.load(f) + if existing.get("cities"): + return { + "status": "already_populated", + "markers": existing, + } + except json.JSONDecodeError: + pass # corrupted markers.json → regenerate below + + bd = load_body_def(body_dir) + if not bd: + return {"status": "error", "message": f"no body definition for {body_id}"} + + # Seeded RNG: deterministic per (world_seed, body_id) + body_salt = body_id_salt(body_id) + rng = np.random.default_rng(seed ^ body_salt) + + try: + terrain = simulate(bd) + except Exception as e: + return {"status": "error", "message": f"simulate failed: {e}"} + + if not terrain: + return {"status": "gas_giant"} + + analysis = _analyse_terrain(terrain, rng) + + n_cities = compute_city_count(population, settlement_pattern) + + if verbose: + print(f" {body_id}: pop={population:,} pattern={settlement_pattern} " + f"→ {n_cities} cities, {len(analysis['river_mouths'])} river mouths, " + f"{len(analysis['continents'])} continents") + + cities = place_cities( + analysis, n_cities, rng, noise_factor, body_population=population + ) + roads, railroads = generate_infrastructure(analysis, cities) + pois = place_gate_terminal(cities, rng) + + # Load existing markers (preserves rivers/oceans/mountain_ranges) and + # overlay the new generator output. + markers = load_markers(body_dir) + output_cities = [ + {k: v for k, v in city.items() if not k.startswith("_")} + for city in cities + ] + markers["cities"] = output_cities + markers["roads"] = roads + markers["railroads"] = railroads + markers["pois"] = pois + + if not dry_run: + with open(body_dir / "markers.json", "w") as f: + json.dump(markers, f, indent=2) + + return {"status": "generated", "markers": markers} + + +def main(): + parser = argparse.ArgumentParser( + description="Atlas generation — terrain-aware city placement and infrastructure (#832)" + ) + parser.add_argument("--db", default=str(DB_PATH), help="Path to systems.db") + parser.add_argument("--body", help="Process only this body_id") + parser.add_argument("--force", action="store_true", + help="Regenerate even if cities already populated") + parser.add_argument("--dry-run", action="store_true", + help="Run analysis but do not write markers.json") + parser.add_argument("--seed", type=int, default=42, + help="World seed for deterministic placement (default: 42)") + parser.add_argument("--noise", type=float, default=0.25, + help="City placement noise factor ±N (default: 0.25 = ±25%%)") + parser.add_argument("--verbose", action="store_true", + help="Print per-body detail") + args = parser.parse_args() + + db_path = Path(args.db) + if not db_path.exists(): + print(f"error: {db_path} not found", file=sys.stderr) + sys.exit(1) + + print(f"\n Atlas Generation Pipeline (#832)") + print(f" DB: {db_path}") + print(f" Seed: {args.seed}") + if args.dry_run: + print(f" Mode: DRY RUN (no markers.json written, no DB sync)") + if args.force: + print(f" Force: enabled (will overwrite existing city placements)") + print() + + conn = sqlite3.connect(str(db_path)) + conn.execute("PRAGMA foreign_keys=ON") + ensure_atlas_schema(conn) + + bodies = query_inhabited_bodies(conn) + if args.body: + bodies = [b for b in bodies if b["body_id"] == args.body] + if not bodies: + print(f"error: body '{args.body}' not found or has no terrain_reference", + file=sys.stderr) + conn.close() + sys.exit(1) + + print(f" {len(bodies)} inhabited bodies with terrain_reference\n") + + t_total = time.time() + n_generated = 0 + n_already = 0 + n_gas = 0 + n_errors = 0 + total_counts = { + "cities": 0, "roads": 0, "railroads": 0, "pois": 0, + "rivers": 0, "oceans": 0, "mountain_ranges": 0, + } + + for i, body_info in enumerate(bodies): + body_id = body_info["body_id"] + t0 = time.time() + + result = process_body( + body_info, + seed=args.seed, + noise_factor=args.noise, + dry_run=args.dry_run, + force=args.force, + verbose=args.verbose, + ) + + elapsed = time.time() - t0 + status = result["status"] + + if status == "generated": + n_generated += 1 + if not args.dry_run: + counts = sync_markers_to_db(conn, body_id, result["markers"]) + for k, v in counts.items(): + total_counts[k] += v + print(f" [{i+1}/{len(bodies)}] {body_id:20s} generated ({elapsed:.1f}s)") + elif status == "already_populated": + n_already += 1 + if not args.dry_run: + counts = sync_markers_to_db(conn, body_id, result["markers"]) + for k, v in counts.items(): + total_counts[k] += v + if args.verbose: + print(f" [{i+1}/{len(bodies)}] {body_id:20s} already populated — DB sync only") + elif status == "gas_giant": + n_gas += 1 + if args.verbose: + print(f" [{i+1}/{len(bodies)}] {body_id:20s} gas giant — no surface") + elif status == "error": + n_errors += 1 + print(f" [{i+1}/{len(bodies)}] {body_id:20s} ERROR: {result.get('message', '')}") + + if not args.dry_run: + conn.commit() + conn.close() + + elapsed_total = time.time() - t_total + + print(f"\n Done: {elapsed_total:.0f}s") + print(f" generated: {n_generated}") + print(f" already populated: {n_already}") + print(f" gas giants: {n_gas}") + print(f" errors: {n_errors}") + + if args.dry_run: + print(f"\n Dry run — no markers.json files were written and no DB rows were touched.") + else: + print(f"\n Atlas index refreshed:") + for k in ("cities", "roads", "railroads", "pois", "rivers", "oceans", "mountain_ranges"): + print(f" atlas_{k:16s} {total_counts[k]:6d} rows") + if n_generated > 0: + print(f"\n {n_generated} markers.json files updated with cities, roads, railroads, pois.") + print(f" Run gemma_naming.py (#833) to fill city and feature names.") + + print() + + if n_errors > 0: + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/wiki/star-systems/GJ-1/bodies/GJ1c/markers.json b/wiki/star-systems/GJ-1/bodies/GJ1c/markers.json index d2dfafec6..9a854cd4c 100644 --- a/wiki/star-systems/GJ-1/bodies/GJ1c/markers.json +++ b/wiki/star-systems/GJ-1/bodies/GJ1c/markers.json @@ -804,7 +804,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 97, + 207 + ], + "population": 12000000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 97, + 207 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-1/bodies/GJ1e-m1/markers.json b/wiki/star-systems/GJ-1/bodies/GJ1e-m1/markers.json index cb1dc063b..7f2bea44c 100644 --- a/wiki/star-systems/GJ-1/bodies/GJ1e-m1/markers.json +++ b/wiki/star-systems/GJ-1/bodies/GJ1e-m1/markers.json @@ -1134,7 +1134,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 5, + 240 + ], + "population": 1200 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 5, + 240 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-1002/bodies/GJ1002b/markers.json b/wiki/star-systems/GJ-1002/bodies/GJ1002b/markers.json index 5fe9ffd82..4d3b8d147 100644 --- a/wiki/star-systems/GJ-1002/bodies/GJ1002b/markers.json +++ b/wiki/star-systems/GJ-1002/bodies/GJ1002b/markers.json @@ -454,7 +454,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 159, + 509 + ], + "population": 35000000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 159, + 509 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-1005A/bodies/GJ1005Ac/markers.json b/wiki/star-systems/GJ-1005A/bodies/GJ1005Ac/markers.json index 0006e4dd6..dad04a633 100644 --- a/wiki/star-systems/GJ-1005A/bodies/GJ1005Ac/markers.json +++ b/wiki/star-systems/GJ-1005A/bodies/GJ1005Ac/markers.json @@ -493,7 +493,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 167, + 467 + ], + "population": 320000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 167, + 467 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-103/bodies/GJ103c/markers.json b/wiki/star-systems/GJ-103/bodies/GJ103c/markers.json index 9818f59e3..9b360356e 100644 --- a/wiki/star-systems/GJ-103/bodies/GJ103c/markers.json +++ b/wiki/star-systems/GJ-103/bodies/GJ103c/markers.json @@ -336,7 +336,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 237, + 3 + ], + "population": 4200 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 237, + 3 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-105A/bodies/GJ105Ac/markers.json b/wiki/star-systems/GJ-105A/bodies/GJ105Ac/markers.json index 37c36d62c..00b039cc2 100644 --- a/wiki/star-systems/GJ-105A/bodies/GJ105Ac/markers.json +++ b/wiki/star-systems/GJ-105A/bodies/GJ105Ac/markers.json @@ -782,7 +782,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 113, + 0 + ], + "population": 2000000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 113, + 0 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-1073/bodies/GJ1073c/markers.json b/wiki/star-systems/GJ-1073/bodies/GJ1073c/markers.json index af2bdb0bc..5c0d7fcfa 100644 --- a/wiki/star-systems/GJ-1073/bodies/GJ1073c/markers.json +++ b/wiki/star-systems/GJ-1073/bodies/GJ1073c/markers.json @@ -512,7 +512,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 115, + 462 + ], + "population": 32000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 115, + 462 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-1075/bodies/GJ1075c/markers.json b/wiki/star-systems/GJ-1075/bodies/GJ1075c/markers.json index eaebe9822..950071a35 100644 --- a/wiki/star-systems/GJ-1075/bodies/GJ1075c/markers.json +++ b/wiki/star-systems/GJ-1075/bodies/GJ1075c/markers.json @@ -457,7 +457,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 179, + 427 + ], + "population": 74000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 179, + 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30000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 135, + 355 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-620.1A/bodies/GJ620.1Ad/markers.json b/wiki/star-systems/GJ-620.1A/bodies/GJ620.1Ad/markers.json index 4e4790e4d..a9e063ca2 100644 --- a/wiki/star-systems/GJ-620.1A/bodies/GJ620.1Ad/markers.json +++ b/wiki/star-systems/GJ-620.1A/bodies/GJ620.1Ad/markers.json @@ -938,7 +938,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 78, + 288 + ], + "population": 6200 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 78, + 288 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-624/bodies/GJ624d/markers.json b/wiki/star-systems/GJ-624/bodies/GJ624d/markers.json index ee22df98c..ee805d47a 100644 --- 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+ } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-892/bodies/GJ892e/markers.json b/wiki/star-systems/GJ-892/bodies/GJ892e/markers.json index f2d0a9be2..ac0d11486 100644 --- a/wiki/star-systems/GJ-892/bodies/GJ892e/markers.json +++ b/wiki/star-systems/GJ-892/bodies/GJ892e/markers.json @@ -34,7 +34,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 154, + 221 + ], + "population": 600 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 154, + 221 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-892/bodies/GJ892f/markers.json b/wiki/star-systems/GJ-892/bodies/GJ892f/markers.json index 881c0363f..4e229c090 100644 --- a/wiki/star-systems/GJ-892/bodies/GJ892f/markers.json +++ b/wiki/star-systems/GJ-892/bodies/GJ892f/markers.json @@ -148,7 +148,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 132, + 284 + ], + "population": 300 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 132, + 284 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-896A/bodies/GJ896Ac/markers.json b/wiki/star-systems/GJ-896A/bodies/GJ896Ac/markers.json index 1b77af457..96b36e473 100644 --- a/wiki/star-systems/GJ-896A/bodies/GJ896Ac/markers.json +++ b/wiki/star-systems/GJ-896A/bodies/GJ896Ac/markers.json @@ -734,7 +734,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 101, + 184 + ], + "population": 220000000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 101, + 184 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-903/bodies/GJ903c/markers.json 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600 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 59, + 509 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-905/bodies/GJ905b/markers.json b/wiki/star-systems/GJ-905/bodies/GJ905b/markers.json index 610976218..2d2be633d 100644 --- a/wiki/star-systems/GJ-905/bodies/GJ905b/markers.json +++ b/wiki/star-systems/GJ-905/bodies/GJ905b/markers.json @@ -600,7 +600,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 87, + 493 + ], + "population": 45000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 87, + 493 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-908/bodies/GJ908c/markers.json b/wiki/star-systems/GJ-908/bodies/GJ908c/markers.json index 77e2ae5e6..20019e1b4 100644 --- a/wiki/star-systems/GJ-908/bodies/GJ908c/markers.json +++ b/wiki/star-systems/GJ-908/bodies/GJ908c/markers.json @@ -606,7 +606,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 248, + 452 + ], + "population": 4200 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + "name": "", + "kind": "transit", + "center": [ + 248, + 452 + ] + } + ] } \ No newline at end of file diff --git a/wiki/star-systems/GJ-909A/bodies/GJ909Ac/markers.json b/wiki/star-systems/GJ-909A/bodies/GJ909Ac/markers.json index 13faf9a8a..e60dff2b6 100644 --- a/wiki/star-systems/GJ-909A/bodies/GJ909Ac/markers.json +++ b/wiki/star-systems/GJ-909A/bodies/GJ909Ac/markers.json @@ -1023,7 +1023,28 @@ } ], "roads": [], - "cities": [], + "cities": [ + { + "id": "city_0", + "name": "", + "kind": "capital", + "center": [ + 100, + 122 + ], + "population": 8000 + } + ], "railroads": [], - "pois": [] + "pois": [ + { + "id": "poi_0", + 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