blockapily 0.3.3

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blockapily

blockapily is a Python utility that automatically generates Google Blockly assets from decorated class methods. It inspects a Python class and converts type-annotated methods into JavaScript block definitions, Python code generators, and toolbox XML.

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Core Concept

The main idea is to keep your Python code as the single source of truth. You define the logic and parameters for an action in a Python method, add type hints, and use a simple decorator. blockapily then handles the boilerplate of creating the corresponding Blockly assets, ensuring they stay in sync with your Python implementation.

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Quickstart

1. Define your Actions Class

Create a Python class and decorate the methods you want to expose in Blockly with @mced_block. Use standard type hints for parameters.

# my_robot.py
from blockapily import mced_block

class Vec3:
    def __init__(self, x=0.0, y=0.0, z=0.0):
        try:
            self.x = float(x)
            self.y = float(y)
            self.z = float(z)
        except (ValueError, TypeError):
            print(f"Warning: Invalid input for Vec3({x}, {y}, {z}). Defaulting to (0,0,0).")
            self.x = 0.0
            self.y = 0.0
            self.z = 0.0

class RobotActions:
    """Defines actions a robot can perform."""

    @mced_block(label="Move Robot")
    def move(self, direction: Vec3, speed: float = 1.0, forward: bool = True):
        """A simple statement block."""
        pass

    @mced_block(label="Get Position")
    def get_position(self, target_id: int) -> Vec3:
        """A block that returns a value."""
        pass

2. Write your Generation Script

Create a script to run the generator. You only need to provide mappings for any custom types you used (like 'Vec3').

# generate_blocks.py
from pathlib import Path
from blockapily import BlocklyGenerator
from my_robot import RobotActions,Vec3

# 1. Define mappings for any custom types
CUSTOM_TYPE_MAP = {
            'str': 'String',
            'int': 'Number',
            'float': 'Number',
            'bool': 'Boolean',
            'Vec3': '3DVector'
}
CUSTOM_SHADOW_MAP = {
    'int': '<shadow type="math_number"><field name="NUM">0</field></shadow>',
    'float': '<shadow type="math_number"><field name="NUM">0.0</field></shadow>',
    'str': '<shadow type="text"><field name="TEXT"></field></shadow>',
    'bool': '<shadow type="logic_boolean"><field name="BOOL">TRUE</field></shadow>',
    'Vec3': '<shadow type="vector_3d_zero"></shadow>'}

# 2. Instantiate the generator
generator = BlocklyGenerator(
    RobotActions,
    type_map=CUSTOM_TYPE_MAP,
    shadow_map=CUSTOM_SHADOW_MAP,
    category_colour="210",
    category_name="Robot"
)

# 3. Generate the assets
block_defs_js, py_gen_js, toolbox_xml = generator.generate()

# 4. Save the generated files
output_dir = Path("./generated_assets")
output_dir.mkdir(exist_ok=True)

(output_dir / "block_definitions.js").write_text(block_defs_js)
(output_dir / "python_generators.js").write_text(py_gen_js)

# 5. Update the main toolbox XML file
toolbox_path = output_dir / "toolbox.xml"
generator.update_toolbox(toolbox_xml, toolbox_path)

print(f"✅ Blockly assets generated in '{output_dir}'")

3. Run the Script

python generate_blocks.py

This will create a generated_assets directory containing your JavaScript files and an updated toolbox.xml ready to be used in your Blockly application.

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Key Features

• Decorator-based: Simply mark methods for export with a clear @mced_block decorator.
• Type Hint Driven: Automatically infers Blockly types, shadows, and default values from standard Python type annotations.
• Automatic Toolbox Management: Intelligently creates and updates your toolbox.xml file, adding or replacing categories as needed.
• Highly Configurable: Easily customize block prefixes, category names, colors, and mappings for custom types.