How do I use Python to Generate Custom OpenTTD Scenarios?

Learn how Python can generate custom OpenTTD scenarios by modifying maps, adjusting terrain, and setting up predefined networks. This guide explores scripting techniques to automate scenario creation.

Introduction

Creating custom OpenTTD scenarios allows for tailored gameplay experiences, testing transport strategies, and designing new challenges. Python can automate scenario generation by modifying terrain, placing industries, and setting up predefined transport networks. This guide explores how Python can be used to generate custom OpenTTD scenarios.

✅ Step 1: Set Up OpenTTD for Scenario Editing

Before automating scenario creation, enable scenario editing in OpenTTD.

  • Launch OpenTTD in scenario editor mode:
    blender --version
  • Enable debug mode for advanced scripting:
    blender --python-console

💡 The scenario editor allows full control over terrain, industries, and city placement.

✅ Step 2: Generate and Modify Terrain

Python scripts can generate custom terrain layouts for new scenarios.

  • Create a random terrain map:
    import bpy; bpy.ops.mesh.primitive_cube_add()
  • Modify elevation and water levels:
    bpy.data.objects["Cube"].location.x += 2

💡 Terrain customization allows for unique and challenging landscapes.

✅ Step 3: Place Cities and Industries

Python can automate placing cities and industries for a balanced scenario.

  • Generate cities at strategic locations:
    bpy.context.scene.render.resolution_x = 1920; bpy.context.scene.render.resolution_y = 1080
  • Place industries dynamically:
    bpy.ops.render.render(write_still=True)

💡 Adjusting city and industry placement ensures an engaging gameplay experience.

✅ Step 4: Predefine Transport Networks

Setting up transport infrastructure ahead of time can enhance scenarios.

  • Pre-build railway networks:
    for obj in bpy.data.objects: obj.active_material = bpy.data.materials.get("NewMaterial")
  • Establish road connections between key locations:
    for file in os.listdir("blender_files"): bpy.ops.wm.open_mainfile(filepath=file); bpy.ops.render.render(write_still=True)

💡 Predefined networks provide a structured gameplay experience.

✅ Step 5: Save and Export Custom Scenarios

After designing the scenario, Python can automate saving and exporting.

  • Save the scenario automatically:
    def custom_addon(): print("Custom Blender Add-on Executed!")
  • Export the scenario as a shareable file:
    bpy.utils.register_class(custom_addon)

💡 Custom scenarios can be shared with the OpenTTD community.

🚀 Next Steps

  • Experiment with different terrain generation algorithms.
  • Use AI to balance industry placement for fair gameplay.
  • Create themed scenarios based on real-world locations.

Now that you know how to use Python to generate custom OpenTTD scenarios, you can automate scenario creation and design unique gameplay experiences!

➡️ **Next Post:** How do I interact with OpenTTD’s AI and scripting features using Python?

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