Force-directed graph · seed-1.6-flash

Using the pre-provided d3.min.js (global d3), render an interactive force-directed graph of about 40 nodes in several clusters with draggable nodes, hover highlighting of neighbors, and zoom/pan. Define the sample nodes and links inline.

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transcript · 4 messages

user

assistant

thinking

Got it, let's tackle this problem. The user wants a single-page web app with a force-directed graph using D3.js. First, I need to include the d3.min.js script. Since it's already in the current directory, I'll use a script tag with src="d3.min.js".

Next, the HTML structure. The body should have a container for the SVG where the graph will be drawn. I'll set up a basic HTML5 template with a style section for CSS and a script section for JavaScript.

For the CSS, I need to style the nodes, links, and tooltips. Nodes should be circles, maybe with different colors for clusters. Links are lines connecting nodes. Hover effects on nodes should highlight neighbors, so I'll need to add classes for that. Zoom and pan will require a group inside the SVG to apply transformations.

In the JavaScript, I'll define sample nodes and links. Let's create 40 nodes in several clusters. Maybe 5 clusters with 8 nodes each. Each node should have an id, name, and cluster property. Links can connect nodes within the same cluster and maybe a few between clusters to show connections.

The force simulation needs to include forces: link, charge, center, and collide. The link force will use the links data, charge will repel nodes, center will keep them in the middle, and collide will prevent overlapping.

Draggable nodes: I'll add event listeners for mousedown, mousemove, and mouseup to handle dragging. The simulation's alpha decay should be adjusted so dragging doesn't stop immediately.

Hover highlighting neighbors: When a node is hovered, I'll select all links connected to it and set their stroke width and color. Also, select the node and its neighbors to highlight them. Need to remove the highlight when the mouse leaves.

Zoom and pan: Use d3.zoom() to handle zoom and pan. The zoom behavior will transform the SVG group. I'll attach the zoom event to the SVG and update the position of the links and nodes when the transform changes.

Putting it all together: The SVG will be appended to the container. The links are lines, nodes are circles with text labels. The simulation is started, and the update function will refresh the positions of links and nodes on each tick.

Testing: Make sure all interactions work. Dragging should move nodes, zooming should scale the graph, hovering should highlight neighbors. The clusters should be visually distinct with different colors.

Now, let's structure the code. The HTML will have a style section for the SVG, nodes, links, and labels. The script will define the data, set up the SVG, create the simulation, add event listeners for dragging and hovering, and handle zoom.

I need to ensure that all code is inline, no external resources. The d3.min.js is included via script tag. The sample data is defined in the JavaScript section.

Potential issues: Making sure the collision force is set correctly to prevent nodes from overlapping. Ensuring that the hover highlighting correctly identifies all neighbors. Handling the zoom and pan so that the graph scales properly.

Let me start writing the code. First, the HTML structure:

<!DOCTYPE html>
<html>
<head>
<title>Force-Directed Graph</title>
<style>
/* CSS styles here */
</style>
</head>
<body>
<svg id="graph"></svg>
<script src="d3.min.js"></script>
<script>
/* JavaScript code here */
</script>
</body>
</html>

In the CSS, style the nodes (circles) with different colors based on cluster, links as gray lines, labels as black text. The hover state for nodes will have a stroke width of 2 and a fill opacity of 1. Links on hover will have a stroke width of 2.

In the JavaScript, define nodes: 5 clusters, each with 8 nodes. Nodes have id, name, cluster. Links: each node connected to 2 others in the same cluster, and 1 node in another cluster. So 40 nodes * 2 links / 2 (since each link is shared) = 40 links, plus 5 inter-cluster links, total 45 links.

Set up the SVG with width and height, add a group for zoom. The zoom behavior will scale and translate the group.

Create the simulation with link, charge, center, collide forces. The link distance can be 100, charge -300, center at (width/2, height/2), collide radius 30.

Add event listeners for mousedown, mousemove, mouseup to handle dragging. When a node is dragged, update its position in the simulation.

For hover, when a node is moused over, select all links connected to it, set their stroke to red and width 2. Select the node and its neighbors, set their fill opacity to 1. When mouse leaves, reset all links and nodes.

The update function will set the x and y positions of links and nodes based on the simulation.

Finally, start the simulation and handle the tick event to update the graph.

Testing this should result in an interactive graph with draggable nodes, hover highlighting, zoom, and pan. All code is inline in the index.html file, with d3.min.js included locally.

→ write index.html (5565 bytes)

toolResult

Successfully wrote 5565 bytes to index.html

assistant

thinking

Got it, let's see. The user wants a single-page web app with an interactive force-directed graph using d3.min.js. They specified inline CSS and JS, no external resources, and 40 nodes in clusters.

First, I need to make sure all requirements are met. The graph should have draggable nodes, hover highlighting neighbors, zoom/pan, and 40 nodes in clusters.

Starting with the structure: the HTML file will have a style tag for CSS, a script tag for d3, and the rest for the graph. The CSS needs to handle the SVG, node styling, links, and labels.

For the data, 40 nodes divided into clusters. Maybe 8 nodes per cluster (5 clusters total) since 40/5=8. That's easy to calculate with Math.floor(i/8). Links should be intra-cluster (80%) and inter-cluster (20%). So for each node, connect to 2 others in the same cluster, and add 5 inter-cluster links. That makes the graph look clustered.

D3 setup: Create an SVG, add a group for zoom. The simulation needs forceLink, forceManyBody, forceCenter, and forceCollide. Collision force to prevent nodes from overlapping.

Draggable nodes: Use d3.drag with start, drag, end events to set fx and fy.

Hover highlighting: On mouseover, find all neighbors of the node, change their fill color and links' stroke. On mouseout, reset. Need to track neighbors by checking links where the node is source or target.

Zoom/pan: D3.zoom behavior applied to the SVG, transforming the group.

Simulation tick: Update link positions and node positions, keeping nodes within the SVG bounds. Labels follow the nodes.

Testing the code: Make sure all parts are connected. Check that clusters are colored differently using d3.schemeCategory10. Ensure that dragging works, zooming pans and scales, and hovering highlights correctly.

Since the user wants everything in one file, the write tool is used to create index.html with all the content. The previous response already did that, and the tool confirmed success. So the final step is to present the result, confirming the file is created.

The index.html file has been successfully created with an interactive force-directed graph meeting all requirements: - 40 nodes divided into 5 clusters (8 nodes per cluster) - Draggable nodes with position constraints - Hover highlighting of connected neighbors (links and nodes) - Zoom/pan functionality - Inline CSS and JavaScript with no external dependencies The graph uses D3's force simulation with link, charge, center, and collide forces. Node colors are assigned by cluster using a categorical scale. Final file: `/tmp/ws/index.html`

TAKE IT TO CODE

A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.

RUN

modelseed-1.6-flash

vendorByteDance · Seed

harnesspi-agent

generated2026-08-01

EVALUATION

★★★★★ 4/5 working

Force-directed graph with colored clusters, drag repositions nodes, and wheel zooms in smoothly; keyboard has no effect as expected.

Vision grade · anthropic/claude-sonnet-5

MEASUREMENTS

Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.

idle motion3.4%

on click2.0%

on drag7.2%

on wheel5.5%

on enter + space0.0%

on arrow keys0.0%

on w/a/s/d0.0%

frame spread15.7 / 255

console errors0

js errors none

METRICS

runtime24.4s

tokens in5.4k

tokens out3.5k

cached0

cost / run$0.0015