oneshotlm
Compare all models on this prompt →

Force-directed graph · gpt-5-nano

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.

⛨ sandboxed Open in new tab ↗
transcript · 4 messages
user

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.

assistant
thinking
**Designing node and link structure**

I’m organizing the structure to include an array of objects representing nodes, with a special feature that defines clusters based on the node IDs. I need about 60-80 links, ensuring some connections are random within clusters, while others link different clusters too. The code should work offline, embedding sample data directly in JavaScript. I also want to implement draggable nodes and neighbor highlighting on mouseover, using typical techniques for adjacency and styling to make it visually effective.**Configuring node visibility and interactions**

I need to set up the node styles so that their opacity changes based on whether they’re in the neighbor set or are the hovered node. For links, I'll adjust their opacity similarly, ensuring they only stand out when connected to the active node. Tooltips will show up on hover to display node names or clusters, and I must implement zoom and pan functionality. To comply with requirements, I’ll programmatically generate 40 nodes and create links to ensure connectivity within clusters and a few cross-cluster connections.**Generating nodes and links**

I'm setting up my nodes using an array of 40, each having a unique ID and name while being assigned to clusters based on their index. For links, I’m connecting nodes within the same cluster to the next node. I’ll be cautious at the boundaries to avoid duplicate connections. Additionally, I want to include random links between different clusters, ensuring I don’t exceed about 60-80 total links. I'll aim for 4-6 connections within each cluster to keep things balanced.**Implementing links structure**

I’m creating a `links` array to hold connections between nodes. For each cluster, I'm forming a chain by connecting adjacent nodes. I’m also adding some random intra-cluster connections to enhance connectivity. Additionally, I want to create cross-cluster links between the first and last clusters to ensure a mix. While these connections use `Math.random`, which means results will change on each load, it’s okay since the code relies only on D3 without external libraries. I'll be using the D3 v6 API for this implementation.**Setting up index.html**

I’m implementing the index.html file in the specified directory. The content will include a basic HTML structure with a title and minimal styling. I plan to create a full-height #chart div for the SVG container. I’ll load the D3 library and set up an SVG element that adapts to the window size, including zoom functionality. Additionally, I’ll define node and link groups for the force-directed graph, handle dragging, neighbor highlighting, and display a tooltip on hover. Finally, I’ll ensure the content is written to the specified path correctly.**Drafting HTML for Graph**

I'm creating the HTML structure for the clustered force-directed graph. This includes the DOCTYPE declaration, necessary meta tags, and styles for the body and chart area. I'll build a dataset for nodes and links with inter-cluster connections. For the SVG setup, I'll implement zoom capabilities and nodes with dragging events. There's a note about a small bug related to the simulation variable being defined after it's referenced in event handlers; I need to ensure it's properly defined to avoid any runtime errors.**Debugging Simulation and Drag Events**

I'm looking into how defining the `simulation` variable affects its usage, especially regarding initialization. When the drag handler uses `simulation`, it needs to be defined beforehand. A safer approach is to declare `let simulation;` up front and then assign it after its definition. Also, the `label` variable should be defined in the outer scope before it gets used in the tick function. I’ll ensure everything is well-organized to handle nodes and links properly while also considering zoom events during drag operations. Finally, I’ll prepare the content for `index.html` and ensure proper formatting for writing.**Preparing final content**

I'm getting ready to craft the final response, explaining that the `index.html` file is generated with sample nodes and links but not going into too much detail. I'll create the content using backticks to avoid template expansions. There’s also a minor improvement needed since the code uses the global `d3` library, which should be accessible from `d3.min.js`. I’ll ensure the code adapts to container resizing as well. Finally, I’ll call the write function to save the file at `/tmp/ws/index.html` and include a quick usage instruction.
write /tmp/ws/index.html (6258 bytes)
toolResult

Successfully wrote 6258 bytes to /tmp/ws/index.html

assistant
thinking
**Summarizing D3 Graph File**

I’m crafting a final answer about the index.html file, which contains a self-contained D3 graph with 40 nodes organized into 4 clusters. It includes interactive features, and to view it, one just needs to open /tmp/ws/index.html in a browser. The code uses d3.min.js from local sources. While it runs well, keep in mind that edges are generated randomly, so results will vary with each load. I’ll suggest optional tweaks without heavy formatting.

Done. I created a self-contained index.html in /tmp/ws that renders a 40-node, multi-cluster force-directed graph with: - 4 clusters (10 nodes each) - Intra-cluster chain edges plus extra intra-cluster and a few cross-cluster links - Draggable nodes - Hover highlighting of neighboring nodes and incident links - Zoom and pan (via mouse wheel / drag) - Inline sample nodes and links (no external data) How to view: - Open /tmp/ws/index.html in your browser Notes: - The graph uses the pre-provided local d3.min.js (global d3). - Edge and neighbor relationships are defined inline; some intra-cluster edges are randomly added for variety. If you want me to tweak cluster count, link density, or styling, tell me what you’d prefer and I’ll adjust the file.

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

modelgpt-5-nano
vendorOpenAI
harnesspi-agent
generated2026-08-01

EVALUATION

3/5 working

Force-directed clustered graph with drag and zoom/pan working; click/keyboard show no visible highlight effect.

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 motion2.1%
on click0.0%
on drag3.7%
on wheel4.0%
on enter + space3.8%
on arrow keys0.4%
on w/a/s/d0.0%
frame spread8.1 / 255
console errors0
js errors none

METRICS

runtime70.0s
tokens in4.6k
tokens out9.7k
cached2.0k
cost / run$0.0040