PocketFlow Visualization

This directory contains tools for visualizing PocketFlow workflow graphs using interactive D3.js visualizations.

Overview

The visualization tools allow you to:

1. View PocketFlow nodes and flows as an interactive graph
2. See how different flows connect to each other
3. Understand the relationships between nodes within flows

Features

• Interactive Graph: Nodes can be dragged to reorganize the layout
• Group Visualization: Flows are displayed as groups with dashed borders
• Inter-Group Links: Connections between flows are shown as dashed lines connecting group boundaries
• Action Labels: Edge labels show the actions that trigger transitions between nodes

Requirements

• Python 3.6 or higher
• Modern web browser (Chrome, Firefox, Edge) for viewing the visualizations

Usage

1. Basic Visualization

To visualize a PocketFlow graph, you can use the visualize_flow function in visualize.py:

from visualize import visualize_flow
from your_flow_module import your_flow

# Generate visualization
visualize_flow(your_flow, "Your Flow Name")

This will:

1. Print a Mermaid diagram to the console
2. Generate a D3.js visualization in the ./viz directory

2. Running the Example

The included example shows an order processing pipeline with payment, inventory, and shipping flows:

# Navigate to the directory
cd cookbook/pocketflow-minimal-flow2flow

# Run the visualization script
python visualize.py

This will generate visualization files in the ./viz directory.

3. Viewing the Visualization

After running the script:

1. Host with

   cd ./viz/
   

2. Interact with the visualization:

   • Drag nodes to reorganize
   • Hover over nodes to see node names
   • Observe connections between nodes and flows

Customizing the Visualization

Adjusting Layout Parameters

You can adjust the force simulation parameters in visualize.py to change how nodes and groups are positioned:

// Create a force simulation
const simulation = d3.forceSimulation(data.nodes)
    // Controls the distance between connected nodes
    .force("link", d3.forceLink(data.links).id(d => d.id).distance(100))
    // Controls how nodes repel each other - lower values bring nodes closer
    .force("charge", d3.forceManyBody().strength(-30))
    // Centers the entire graph in the SVG
    .force("center", d3.forceCenter(width / 2, height / 2))
    // Prevents nodes from overlapping - acts like a minimum distance
    .force("collide", d3.forceCollide().radius(50));

Styling

Adjust the CSS styles in the HTML template inside create_d3_visualization function to change colors, shapes, and other visual properties.

How It Works

The visualization process consists of three main steps:

1. Flow to JSON Conversion: The flow_to_json function traverses the PocketFlow graph and converts it to a structure with nodes, links, and group information.

2. D3.js Visualization: The JSON data is used to create an interactive D3.js visualization with:

   • Nodes represented as circles
   • Flows represented as dashed rectangles containing nodes
   • Links showing connections within and between flows

3. Group Boundary Connections: The visualization calculates intersection points with group boundaries to ensure inter-group links connect at the borders rather than centers.

Extending the Visualization

You can extend the visualization tools by:

1. Adding new node shapes
2. Implementing additional layout algorithms
3. Adding tooltips with more detailed information
4. Creating animation for flow execution

Troubleshooting

If you encounter any issues:

• Make sure your flow objects are properly constructed with nodes connected correctly
• Check the browser console for any JavaScript errors
• Verify that the generated JSON data structure matches what you expect

Example Output

The visualization displays:

• Payment processing flow nodes
• Inventory management flow nodes
• Shipping flow nodes
• Group boundaries around each flow
• Connections between flows (Payment → Inventory → Shipping)