Simulation Service Example

This repository contains a minimal implementation of the architecture described in AGENTS.md. It provides a Flask web application with a simple flow that demonstrates the basic structure of a simulation service.

Quick Start

1. Create a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   # waitress is included in requirements for serving the app

2. Run the application:

   python run.py

3. Navigate to http://localhost:5000 to see the available flows.

User accounts are stored in users.json and loaded on startup, so any users added through the admin interface will persist across restarts.

Each user can also edit personal settings such as AEDT/EDB versions, language, and color scheme from the Settings page after logging in. These preferences are saved in users.json for future sessions.

Project Structure

• app/ - Application package
  • routes.py - Basic routes for deck and flow steps
  • flows/ - Pluggable flow modules
  • templates/ - Jinja2 templates
• jobs/ - Folder where job data is stored
• users.json - Stored user accounts
• run.py - Application entry point

This is a simplified example intended for demonstration purposes.

Step 1 Input Handling

The Flow_SIwave_SYZ example now accepts a single design file for the first step. Upload either a .brd file or a zipped .aedb archive. The uploaded file is processed and saved as design.aedb in the job's output directory.

All subsequent steps reference output/design.aedb, ensuring a consistent path regardless of the original input type. When the design is uploaded and you click Apply in Step 1, you can optionally generate PCB layout images for the next step. If the Show PCB Layout in Step2 checkbox is selected, the application plots all signal layer images and saves them as PNG files in the job's output directory. Step 2 displays these images in a carousel. Leaving the box unchecked skips image generation to speed up Step 1.