Patchwork

Patchwork is a lightweight tool for visualizing 2D environments, built with Python. It serves as a testbed for experimenting with graphical rendering of grids and virtual environments using various graphics libraries—starting with Pygame.

This project is part of the Viron ecosystem and provides a visual layer to its simulated environments.

Features

• Grid-based rendering of 2D environments
• Initial support for Pygame
• Caching of created environments in environments.json so a grid size can be re-loaded instead of re-created
• Modular structure designed for future support of other graphics libraries
• Clean interface for testing Viron entity placement and behavior
• RenderWindow class for simplified Pygame window management
• Anonymous usage reporting (startup and environment-created events with the program name and version) with an opt-out in settings.json or the environment (see Usage reporting)

RenderWindow

Patchwork provides a RenderWindow class that encapsulates Pygame initialization and window management. This class is designed for composition, not inheritance, making it easy to integrate into projects without subclassing.

Key Features

• Automatic Pygame initialization
• Window and surface management
• Event loop handling with custom event handlers
• Frame rate control
• Teardown via close() or the context-manager protocol
• Clean API for common rendering operations

Basic Usage

from render_window import RenderWindow
import pygame

# Create window
window = RenderWindow("My Application", 800, 600)
surface = window.get_surface()

# Register custom event handlers
def handle_input(event):
    if event.type == pygame.KEYDOWN:
        print(f"Key pressed: {event.key}")

window.register_event_handler(handle_input)

# Main loop
while window.should_continue():
    surface.fill((0, 0, 0))
    # ... render your content ...
    pygame.display.update()
    window.tick(60)  # 60 FPS

window.close()

close() shuts Pygame back down and marks the window as no longer running, so any further call to should_continue() returns False. The window can also be used as a context manager, which tears it down even if the loop body raises:

with RenderWindow("My Application", 800, 600) as window:
    surface = window.get_surface()
    while window.should_continue():
        # ... render your content ...
        pygame.display.update()
        window.tick(60)

main.py uses RenderWindow for its own window and render loop, so it doubles as a worked example of integrating the class with Graphik.

Getting Started

Prerequisites

• Python 3.10+
• Pygame (pip install pygame)
• Viron, which is vendored as a Git submodule and is also expected to be running as a server (see below)
• Docker, if Viron is to be started from the bundled Compose file

Setup

Clone the repository along with the Viron submodule:

git clone --recurse-submodules https://github.com/Preponderous-Software/patchwork.git
cd patchwork
pip install pygame

If the repository was already cloned without --recurse-submodules, the submodule can be populated afterwards:

git submodule update --init --recursive

The submodule is required at runtime: main.py imports Viron's EnvironmentService and LocationService from the Viron/ directory.

Starting Viron

Patchwork expects a Viron server to be reachable at http://localhost:9999. On Windows, the bundled batch scripts start and stop it:

up.bat
down.bat

The equivalent commands on other platforms are:

docker compose -f Viron/compose.yml up -d --build
docker compose -f Viron/compose.yml down --remove-orphans --volumes

Note that down.bat passes --volumes, so stopping Viron this way also deletes its database volumes. Any environments recorded in environments.json will no longer resolve afterwards.

Running

To launch the Patchwork visualization:

python main.py

An optional first argument sets the grid size, which defaults to 50. A value that cannot be parsed as an integer also falls back to 50.

python main.py 100

Passing --exit-after-create as the second argument renders a newly created environment once and then exits after roughly two seconds, instead of entering the render loop. It has no effect when the requested grid size is already cached in environments.json, since no environment is created in that case. Because the flag is read positionally, a grid size must be supplied before it:

python main.py 100 --exit-after-create

Created environments are recorded in environments.json, keyed by grid count and grid size (for example 1x50; the grid count is currently fixed at 1). A key that is already present in that file is re-loaded from Viron rather than re-created, so the file should be deleted to force re-creation.

The render loop is capped at 60 frames per second via RenderWindow.tick(). Since each location is re-coloured at random on every frame, that cap is also what sets the rate at which the visualization re-randomizes.

main.py guards its entry point with if __name__ == "__main__":, so the module can be imported — by the test suite, or by another program wanting to call main(gridSize, exitAfterCreate) directly — without launching a window. main() also accepts locationService and environmentService arguments, which default to services pointed at http://localhost:9999. Usage reporting is started only by the CLI entrypoint, so a direct main() call does not create or modify settings.json.

Batch environment creation

On Windows, create_environments.bat deletes environments.json and then invokes python main.py <size> --exit-after-create once per grid size, from 1 up to the maximum size given as its first argument (defaulting to 100). Standard output is appended to output.txt and errors to error_log.txt.

create_environments.bat 25

Running the tests

Unit tests live in tests/ and use only the standard library's unittest. They mock Pygame and stand in for Viron's service modules with stubs registered in sys.modules, so no display, no running Viron server, and not even a populated Viron/ submodule are required. Because Viron is stubbed rather than imported, the suite also runs on Python versions older than the 3.10 that main.py itself needs:

python -m unittest discover -s tests

Run the command from the repository root, so that main.py and render_window.py are importable.

Use Cases

• Visualization of entity grids and spatial data from Viron
• Debugging simulations in real-time
• Prototyping user interfaces or tile-based systems
• Educational demos of 2D virtual environments

Roadmap

• Add support for other graphics libraries (Tkinter, OpenGL, etc.)
• Interactive toggling of cell states
• Layered rendering and animation
• Customizable grid styling
• Real-time interaction with live Viron simulations

Usage reporting

Usage reporting is on by default: Patchwork sends its name (patchwork), its version from version.txt and the events startup (once per launch) and environment-created (when a new environment is created through Viron) to trace at https://trace.danielstephenson.dev, so that it is known which versions are in use. Nothing about you, your machine, your IP address, the grid size or the environments is sent. The report is made from a background thread, never blocks the program and never raises; if the service is unreachable the event is simply dropped.

Patchwork ships with its program key (a key identifies the program to trace; it is not a secret). On first launch, the CLI prints a one-line notice and writes the settings block below to settings.json in the working directory (the same place as environments.json), after which the notice is not shown again. To turn reporting off, any one of these is enough:

• set enabled to false in settings.json:

  {
    "usage_reporting": {
      "enabled": false
    }
  }

• set the environment variable TRACE_USAGE_REPORTING=off (also false, 0, no), which turns off every program that reports to trace

• set the environment variable DO_NOT_TRACK=1 (see consoledonottrack.com)

The environment variables win over settings.json. endpoint selects the trace server and key the key reports are sent with; the PATCHWORK_USAGE_REPORTING_KEY environment variable, when set, overrides the key in settings.json and the shipped one. The client lives in trace_client.py, vendored from trace-client-python with only the header note adjusted for Patchwork, and the settings handling in usage_reporting.py.

Details: https://github.com/Stephenson-Software/trace#usage-reporting

📄 License

This project is licensed under the Preponderous Non-Commercial License (Preponderous-NC).
It is free to use, modify, and self-host for non-commercial purposes, but commercial use requires a separate license.

Disclaimer: Preponderous Software is not a legal entity.
All rights to works published under this license are reserved by the copyright holder, Daniel McCoy Stephenson.

Full license text:
https://github.com/Preponderous-Software/preponderous-nc-license/blob/main/LICENSE.md

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Created by Daniel McCoy Stephenson as part of the Preponderous ecosystem.