/godot-master

🚀 Elite Technical Implementations (Batch 09)

1. Dependency-Graph Pattern (Production Chains)

Represent complex production chains (e.g., Raw Materials -> Intermediate -> Finished Goods) using nested Resource structures. This allows for deep, recursive data definitions that are fully editable in the Inspector.

# production_recipe.gd
class_name ProductionRecipe extends Resource

---

# Mapping of required ItemResources to their integer quantities

@export var required_inputs: Dictionary[ItemResource, int] = {}
@export var output_item: ItemResource
@export var output_yield: int = 1
@export var production_time: float = 5.0

---

# Evaluates if the current inventory meets the graph dependencies

func can_produce(available_inventory: Dictionary[ItemResource, int]) -> bool:
    for input_item in required_inputs:
        var required_amount: int = required_inputs[input_item]
        var available_amount: int = available_inventory.get(input_item, 0)
        if available_amount < required_amount:
            return false
    return true

2. AStarGrid2D for Logistics & NPC Jobs

AStarGrid2D is specialized for 2D grids, eliminating the need to manually connect points. It is ideal for factory floors, warehouse logistics, and NPC pathfinding in management sims.

class_name LogisticsGrid extends Node

var _astar_grid: AStarGrid2D

func _ready() -> void:
    _astar_grid = AStarGrid2D.new()
    _astar_grid.region = Rect2i(0, 0, 100, 100)
    _astar_grid.cell_size = Vector2(32, 32)
    _astar_grid.diagonal_mode = AStarGrid2D.DIAGONAL_MODE_ONLY_IF_NO_OBSTACLES
    _astar_grid.update()

---

# Mark a cell as impassable (e.g., placing a new machine)

func place_obstacle(cell_coords: Vector2i) -> void:
    if _astar_grid.is_in_bounds(cell_coords.x, cell_coords.y):
        _astar_grid.set_point_solid(cell_coords, true)

---

# Retrieves the logistics path for an NPC worker

func get_npc_path(start_cell: Vector2i, target_cell: Vector2i) -> Array[Vector2i]:
    return _astar_grid.get_id_path(start_cell, target_cell)

3. CSV-to-Resource Workflow (Rapid Balancing)

Automate the conversion of spreadsheet data (CSV) into native .tres files. This allows game designers to balance thousands of entities in Excel/Google Sheets and "bake" them into performant Godot resources.

@tool
class_name CSVResourceBaker extends EditorScript

func _run() -> void:
    var csv_path := "res://data/balancing_sheet.csv"
    var output_dir := "res://data/generated_items/"
    
    var file := FileAccess.open(csv_path, FileAccess.READ)
    if not file: return
        
    var rows := file.get_as_text().split("\n", false)
    for i in range(1, rows.size()): # Skip header
        var columns := rows[i].split(",", false)
        if columns.size() < 2: continue
            
        var item_name: String = columns[0].strip_edges()
        var base_value: int = columns[1].to_int()
        
        var new_item := ItemResource.new()
        new_item.item_name = item_name
        new_item.base_value = base_value
        
        ResourceSaver.save(new_item, output_dir + item_name.to_lower() + ".tres")

• Master Skill: godot-master
• Related: Validate economy ticks and CSV→.tres balance with godot-monte-carlo-balancer.