jpmschweitzerandClaude Opus 4.6
dcf887cb49
Sprint 2 rendering pipeline: tiles (#129), fog (#131), camera (#116). - tile_renderer.gd: programmatic TileSet with floor/wall/door/object placeholder tiles, renders from snapshot tile data - fog_renderer.gd: TileMapLayer overlay with three visibility states (visible/fog-edge/hidden), computed from visible_positions data - Camera2D: smoothing enabled (speed 6.0), 2x zoom, locked to player - game_state.gd: stores visible_tiles and visible_positions from snapshots - sim_bridge.gd: test data with 8x8 room, corridor, and Manhattan distance visibility for development without server - Scene render order: Tiles -> FogOverlay -> Entities - Background clear color set to near-black for unexplored areas Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
32 lines
1016 B
GDScript
32 lines
1016 B
GDScript
extends Node2D
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@onready var world_renderer = $World
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@onready var camera = $Camera2D
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@onready var hud = $UILayer/HUD
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@onready var monologue_display = $UILayer/MonologueDisplay
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func _ready() -> void:
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print("The Settled Reach — client initialized")
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# Connect to simulation (will use test mode initially)
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SimBridge.connect_to_sim()
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func _process(_delta: float) -> void:
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# Main game loop: poll snapshot, apply state, flush input
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var snapshot = SimBridge.poll_snapshot()
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if snapshot != null:
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GameState.apply_snapshot(snapshot)
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# Update renderers with new state
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if world_renderer and world_renderer.has_method("update_from_state"):
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world_renderer.update_from_state()
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# Track camera to player position every frame (D-015: locked, no panning)
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# Camera2D smoothing handles interpolation — we just set the target
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camera.global_position = GameState.player_position * 32.0
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# Send queued input to simulation
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var inputs = InputMapper.flush_queue()
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for input in inputs:
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SimBridge.send_input(input)
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