extends Node2D ## Phase 2 world view. 80×80 TileMap with 6 layers, 3 sample pawns, pathfinder, ## click-to-select / click-to-move selection. ## ## Real ElvGames art lands in Phase 5+ (wood walls custom-authored on ## FG_Houses, stone walls autotiled from FG_Fortress per the 2026-05-10 ## audit lock). The procedural placeholder tileset is enough to prove the ## TileMap pipeline + pawn movement + camera + pathfinding end-to-end. ## ## TileMap layer indices follow docs/architecture.md: ## 0 Terrain · 1 Floor · 2 Wall · 3 Designation · 4 Roof · 5 Fog const MAP_SIZE_TILES: Vector2i = Vector2i(80, 80) const TILE_SIZE_PX: int = 16 # Atlas coords inside the placeholder tileset (one source, source_id = 0). # Real assets in Phase 5 will use multiple atlas sources. const TILE_GRASS: Vector2i = Vector2i(0, 0) const TILE_DIRT: Vector2i = Vector2i(1, 0) const TILE_STONE: Vector2i = Vector2i(2, 0) const TILE_STONE_DARK: Vector2i = Vector2i(3, 0) const PLACEHOLDER_SOURCE_ID: int = 0 const PAWN_SCENE: PackedScene = preload("res://scenes/pawn/pawn.tscn") # 3 starting pawns — Phase 2 demo. Phase 7+ replaces this with map-gen + name table. const SAMPLE_PAWNS: Array[Dictionary] = [ {"name": "Bram", "tile": Vector2i(20, 40)}, {"name": "Cora", "tile": Vector2i(25, 40)}, {"name": "Edda", "tile": Vector2i(30, 40)}, ] @onready var terrain_layer: TileMapLayer = $Terrain @onready var floor_layer: TileMapLayer = $Floor @onready var wall_layer: TileMapLayer = $Wall @onready var designation_layer: TileMapLayer = $Designation @onready var roof_layer: TileMapLayer = $Roof @onready var fog_layer: TileMapLayer = $Fog @onready var pathfinder: Pathfinder = $Pathfinder @onready var selection: Selection = $Selection @onready var rest_provider: RestProvider = $RestProvider func _ready() -> void: Audit.log("world", "Phase 3 — building %d×%d world + pawns + AI." % [MAP_SIZE_TILES.x, MAP_SIZE_TILES.y]) var tileset := _build_placeholder_tileset() for layer in [terrain_layer, floor_layer, wall_layer, designation_layer, roof_layer, fog_layer]: layer.tile_set = tileset _paint_terrain() _paint_sample_walls() _apply_camera_bounds() pathfinder.setup(MAP_SIZE_TILES) _wire_walls_to_pathfinder() selection.bind(pathfinder) World.register_work_provider(rest_provider) _spawn_sample_pawns() _run_pathfinder_spike() func world_bounds_px() -> Rect2: return Rect2(Vector2.ZERO, Vector2(MAP_SIZE_TILES * TILE_SIZE_PX)) # ── tileset & map painting ────────────────────────────────────────────────── func _build_placeholder_tileset() -> TileSet: # Four 16×16 placeholder tiles laid out as a 4×1 atlas. No PNG dependency # — atlas built at runtime from a programmatic Image. Real ElvGames art # replaces this when wood/stone wall variants are imported in Phase 5. var ts := TileSet.new() ts.tile_size = Vector2i(TILE_SIZE_PX, TILE_SIZE_PX) var atlas_w := TILE_SIZE_PX * 4 var img := Image.create(atlas_w, TILE_SIZE_PX, false, Image.FORMAT_RGBA8) var palette: Array[Color] = [ Color(0.45, 0.65, 0.30), # grass Color(0.55, 0.45, 0.30), # dirt Color(0.60, 0.60, 0.55), # stone Color(0.30, 0.30, 0.32), # stone dark ] for i in palette.size(): var base: Color = palette[i] var border: Color = base.darkened(0.15) for px in TILE_SIZE_PX: for py in TILE_SIZE_PX: var on_border := ( px == 0 or px == TILE_SIZE_PX - 1 or py == 0 or py == TILE_SIZE_PX - 1 ) img.set_pixel(i * TILE_SIZE_PX + px, py, border if on_border else base) var tex := ImageTexture.create_from_image(img) var src := TileSetAtlasSource.new() src.texture = tex src.texture_region_size = Vector2i(TILE_SIZE_PX, TILE_SIZE_PX) for i in palette.size(): src.create_tile(Vector2i(i, 0)) ts.add_source(src, PLACEHOLDER_SOURCE_ID) return ts func _paint_terrain() -> void: for x in MAP_SIZE_TILES.x: for y in MAP_SIZE_TILES.y: terrain_layer.set_cell(Vector2i(x, y), PLACEHOLDER_SOURCE_ID, TILE_GRASS) func _paint_sample_walls() -> void: # An 8×8 stone ring near the map centre as a visual landmark + pathfinding # obstacle so the demo proves pawns route around walls. var origin := Vector2i(36, 36) var size: int = 8 for i in size: wall_layer.set_cell(origin + Vector2i(i, 0), PLACEHOLDER_SOURCE_ID, TILE_STONE) wall_layer.set_cell(origin + Vector2i(i, size - 1), PLACEHOLDER_SOURCE_ID, TILE_STONE) wall_layer.set_cell(origin + Vector2i(0, i), PLACEHOLDER_SOURCE_ID, TILE_STONE_DARK) wall_layer.set_cell(origin + Vector2i(size - 1, i), PLACEHOLDER_SOURCE_ID, TILE_STONE_DARK) # ── pathfinder + pawns ────────────────────────────────────────────────────── func _wire_walls_to_pathfinder() -> void: # Wall cells block pathing. Re-runs on Phase 5 build/destroy events later. var wall_cells := wall_layer.get_used_cells() for cell in wall_cells: pathfinder.set_cell_walkable(cell, false) Audit.log("world", "%d wall cells marked impassable" % wall_cells.size()) func _spawn_sample_pawns() -> void: for spawn_data in SAMPLE_PAWNS: var p: Pawn = PAWN_SCENE.instantiate() add_child(p) p.setup(spawn_data["name"], spawn_data["tile"]) # Phase 3: attach a JobRunner so Decision can hand it jobs. var jr := JobRunner.new() jr.name = "JobRunner" p.add_child(jr) jr.setup(p, pathfinder) p.job_runner = jr World.register_pawn(p) # ── spike: AStarGrid2D query timing at 80² ────────────────────────────────── func _run_pathfinder_spike() -> void: # Phase 2 acceptance spike (~30 min): "AStarGrid2D path-query timing at 80² # with 6 pawns simultaneously requesting paths. Confirm sub-millisecond." # We benchmark all 4-corner pairs × 3 iterations = 36 path queries. var corners := [ Vector2i(2, 2), Vector2i(MAP_SIZE_TILES.x - 3, 2), Vector2i(2, MAP_SIZE_TILES.y - 3), Vector2i(MAP_SIZE_TILES.x - 3, MAP_SIZE_TILES.y - 3), ] var pairs: Array = [] for a in corners: for b in corners: if a != b: pairs.append([a, b]) var result: Dictionary = pathfinder.benchmark(pairs, 3) Audit.log("world", "spike: %d paths min=%d us avg=%.1f us max=%d us" % [ result["total_paths"], result["min_us"], result["avg_us"], result["max_us"] ]) # ── camera bounds ─────────────────────────────────────────────────────────── func _apply_camera_bounds() -> void: var cam := get_node_or_null("CameraRig") if cam == null: Audit.log("world", "no CameraRig child yet — bounds set later when camera lands.") return if not cam.has_method("set_world_bounds"): Audit.log("world", "CameraRig present but missing set_world_bounds() — skipping.") return cam.set_world_bounds(world_bounds_px())