docs: Add comprehensive Better Charts implementation plan #117
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Outlines 5 approaches for adding rich chart support: 1. Nivo HTTP API + Image Artifact (fastest MVP) 2. Self-hosted Nivo API (better reliability) 3. Interactive React Charts (best UX) 4. Hybrid approach (recommended) 5. WebPreview + Sandboxed Editor (most flexible) Includes comparison matrix, implementation checklist, sample tool definitions, and recommended phased implementation path. https://claude.ai/code/session_0162oufVx3rYbBGdZVQFb1Ez
- Analyzed actual nivo source: renderChart(), chartsMapping, Joi schemas - Analyzed ai-elements: Artifact pattern, Tool output rendering - Added 4 detailed implementation plans: A) Interactive React charts (recommended) B) Server-side rendering with @nivo/static C) Nivo HTTP API microservice D) Hybrid interactive + static export - Included complete code examples based on actual patterns - Added data format reference for all chart types - Included comparison matrix and phased implementation roadmap https://claude.ai/code/session_0162oufVx3rYbBGdZVQFb1Ez
Contains cloned reference repositories (nivo, ai-elements) used for source code analysis during chart implementation planning. https://claude.ai/code/session_0162oufVx3rYbBGdZVQFb1Ez
Implements Plan A from BetterCharts.md - Interactive React Charts Frontend: - Add @nivo/* packages for chart rendering - Create ChartArtifact component with support for 10 chart types: bar, line, pie, radar, heatmap, sankey, treemap, sunburst, chord, calendar - Update ChatWindow to detect chart tool results and render ChartArtifact - Export functionality (PNG) via client-side SVG serialization - Data view toggle to inspect chart data - Default theme matching shadcn/ui design tokens Backend: - Add generate_chart tool in huf/ai/chart_tools.py - Register tool via huf_tools hook for auto-discovery - Smart defaults per chart type (colors, margins, labels, etc.) - Comprehensive data format documentation in tool description The chart tool returns a config object with `_render: "chart"` that the frontend detects and renders as an interactive nivo component instead of raw JSON output. https://claude.ai/code/session_0162oufVx3rYbBGdZVQFb1Ez
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Summary
This document outlines a detailed implementation plan for adding rich, interactive data visualization capabilities to the chat interface using nivo charts. It provides a thorough analysis of five different architectural approaches, ranging from a quick MVP using nivo's HTTP API to a full-featured hybrid solution with interactive React components and static fallbacks.
Key Changes
Five implementation approaches evaluated with detailed pros/cons:
Detailed architecture diagrams for each approach showing data flow and component interactions
Recommended phased implementation path:
Complete implementation checklist covering:
generate_chart)Comparison matrix evaluating approaches across interactivity, dependencies, complexity, timeline, and reliability
Open questions addressing bundle size, data limits, storage, real-time updates, and accessibility
Notable Details
ChartArtifactcomponent with dual interactive/static modesThis plan serves as a decision document and implementation guide for the team to choose the best approach based on project constraints and user needs.
https://claude.ai/code/session_0162oufVx3rYbBGdZVQFb1Ez