AI assisted Log Analysis

A web application for analyzing AMQP logs (e.g., from @azure/service-bus and @azure/event-hubs) using AI-powered insights. The app leverages Azure OpenAI to provide structured, chunks of summaries and details for uploaded log files.

Features

• Upload and view raw log files
• AI-generated summary and detailed chunk insights for logs
• Interactive, expandable UI for exploring log chunks and their purposes
• Query panel for asking questions about the logs
• Dynamic, real-time rendering as logs are analyzed

Usage

1. Install dependencies:

   npm install

2. Set up your .env file in the project root with your OpenAI or Azure OpenAI credentials:

   REACT_APP_AZURE_OPENAI_ENDPOINT=your-endpoint
   REACT_APP_AZURE_OPENAI_KEY=your-key

3. Start the development server:

   npm start

4. Open http://localhost:3000 and upload a log file or use the sample.

How It Works

• The log file is split into chunks and sent to the OpenAI API for analysis.
• Each chunk is summarized with its purpose and key events/errors in a structured manner.
• The UI updates dynamically as each chunk is processed, showing a tree of expandable insights.
• You can ask questions about the logs in natural language, and the system will provide relevant insights based on the queries.

Contributing

Contributions are welcome! To contribute:

1. Fork this repository and create a new branch for your feature or bugfix.
2. Make your changes in the src/ directory, following the existing code style.
3. Add or update tests in src/App.test.tsx or create new test files as needed.
4. Run npm test to ensure all tests pass.
5. Submit a pull request with a clear description of your changes.

For major changes, please open an issue first to discuss what you would like to change.

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This project was bootstrapped with Create React App.