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+# Incident Analysis Dashboard
+
+Interactive visualization tool for analyzing incident patterns and service impacts using Sankey diagrams and network graphs.
+
+## Features
+
+- Upload and analyze incident data and service impact relationships
+- Interactive Sankey diagram showing incident flow across multiple dimensions
+- Force-directed network graph displaying service dependencies
+- AI-powered incident analysis and recommendations
+- Dark/light theme support
+- Responsive design
+- Filter data by Area, Shift, Team, and Service
+- Duration-based filtering with visual feedback
+
+## Usage
+
+1. Upload incidents and service impact CSV files. [Authorized users can download a sample here](https://drive.google.com/drive/folders/1qJXojKTsVfXAPVLApNV17tvY1Keexc0C).
+2. Use the filters to narrow down the data
+3. Use the Sankey diagram to understand incident flow
+4. Use the network graph to understand service dependencies
+5. Use the AI-powered analysis and recommendations to guide improvements
+
+### Incidents CSV
+
+Required columns:
+
+- `Service`: Service name
+- `Shift`: Shift name
+- `Area`: Geographic/functional area
+- `Team`: Team name
+- `Count`: Number of incidents
+- `Hours`: Resolution time in hours
+
+### Service Impact CSV
+
+Required columns:
+
+- `Source`: Source service name
+- `Target`: Target service name
+
+## Setup
+
+## Prerequisites
+
+- Modern web browser with ES Modules support
+- Web server for local development
+
+### Local Setup
+
+1. Clone this repository:
+
+```bash
+git clone https://github.com/gramener/incidents.git
+cd incidents
+```
+
+2. Serve the files using any static web server. For example, using Python:
+
+```bash
+python -m http.server
+```
+
+3. Open `http://localhost:8000` in your web browser
+
+## Deployment
+
+On [Cloudflare DNS](https://dash.cloudflare.com/2c483e1dd66869c9554c6949a2d17d96/straive.app/dns/records),
+proxy CNAME `incidents.straive.app` to `gramener.github.io`.
+
+On this repository's [page settings](https://github.com/gramener/incidents/settings/pages), set
+
+- Source: `Deploy from a branch`
+- Branch: `main`
+- Folder: `/`
+
+## Technical Details
+
+### Architecture
+
+- Frontend: Vanilla JavaScript with lit-html for rendering
+- LLM Integration: [LLM Foundry API](https://llmfoundry.straive.com/code) for query processing, specifically the `/openai/v1/chat/completions` endpoint with `gpt-4o-mini` model
+- Styling: Bootstrap 5.3.3 with dark mode support
+
+### Dependencies
+
+All dependencies are loaded via CDN:
+
+- [D3.js](https://www.npmjs.com/package/d3) v7 - Visualization
+- [Bootstrap](https://www.npmjs.com/package/bootstrap) v5.3.3 - UI components
+- [@gramex/sankey](https://www.npmjs.com/package/@gramex/sankey) v1 - Sankey diagram
+- [@gramex/network](https://www.npmjs.com/package/@gramex/network) v2 - Network visualization
+- [@gramex/ui](https://www.npmjs.com/package/@gramex/ui) v0.3 - Utilities
+- [marked](https://www.npmjs.com/package/marked) v13 - Markdown parsing
+- [asyncllm](https://www.npmjs.com/package/asyncllm) v1 - AI integration
+
+## License
+
+[MIT](LICENSE)