biotrackr

biotrackr is a personal health platform that integrates with the Fitbit API and Withings API to collect, analyze, and provide insights on health and fitness data. The application follows a microservices architecture deployed on Azure, with comprehensive CI/CD pipelines and infrastructure as code.

📋 Table of Contents

• Getting Started
• Architecture
• Features
• Tech Stack
• Build Status
• License

🚀 Getting Started

The fastest way to start developing is with the Dev Container, which provides a fully configured environment with .NET 10.0, Cosmos DB emulator, pre-built services, and sample data.

Prerequisites: Docker Desktop + VS Code with the Dev Containers extension

1. Open the repo in VS Code
2. Run Dev Containers: Reopen in Container (Ctrl+Shift+P)
3. After setup completes: bash scripts/start-local.sh
4. Open http://localhost:5239

See docs/devcontainer-setup.md for details, secrets configuration, and troubleshooting. For manual setup without the dev container, see AGENTS.md.

🏗️ Architecture

The application follows a microservices architecture with separate services for different health domains:

Data Ingestion (Background Workers)

Scheduled Container App Jobs that fetch data from the Fitbit and Withings APIs:

• Auth Fitbit Service: Manages OAuth token refresh with Fitbit API (every 6 hours), storing tokens in Azure Key Vault
• Auth Withings Service: Manages OAuth token refresh with Withings API (every 2 hours), storing rotating tokens in Azure Key Vault
• Activity Service: Daily fetch of physical activity and workout data from Fitbit
• Sleep Service: Daily fetch of sleep tracking and stage analysis data from Fitbit
• Vitals Service: Daily fetch of weight, blood pressure, and body composition data from Withings (muscle mass, bone mass, water mass, fat mass, fat-free mass, visceral fat index)
• Food Service: Daily fetch of nutrition and food logging data from Fitbit
• Reporting Service: Scheduled health summary generation (weekly, monthly, yearly cadences) — fetches data via MCP client, submits to Reporting API for PDF generation, and delivers reports via Azure Communication Services email

Data Access (REST APIs)

HTTP-based Container Apps serving data from Cosmos DB via Azure API Management:

• Activity API: Activity data endpoints (/activity/*)
• Sleep API: Sleep data endpoints (/sleep/*)
• Vitals API: Vitals data endpoints (/vitals/*)
• Food API: Food data endpoints (/food/*)

Consumer Layer

• Chat API: AI-powered chat agent (Claude via Microsoft Agent Framework) with AGUI SSE streaming, tool policy enforcement, conversation persistence, and graceful degradation when MCP tools are unavailable
• MCP Server: Model Context Protocol server exposing 12 tools across all health domains via Streamable HTTP transport
• Reporting API: Generates PDF reports and chart images from health data using a GitHub Copilot coding agent sidecar with sub-agent orchestration (data-analyst → chart-generator → pdf-builder), custom skills for domain knowledge, lifecycle hooks for security and observability, AI-driven report review, and A2A protocol support (/a2a/report) for agent-to-agent communication
• UI: Blazor Server dashboard with Radzen components for visualizing activity, sleep, vitals, and food data

Supporting Infrastructure

• Azure API Management: API gateway with JWT validation, subscription key auth, and rate limiting
• Azure Cosmos DB: Serverless NoSQL database for all health data and chat conversation history
• Azure Key Vault: Secure storage for Fitbit and Withings OAuth tokens
• Azure App Configuration: Centralized configuration for all services
• Azure Container Registry: Docker image storage
• Azure Blob Storage: Report artifact storage (PDFs, charts) with SAS URL generation
• Azure Communication Services: Email delivery for scheduled health summary reports
• GitHub Copilot: Coding agent sidecar for Reporting API with sub-agent orchestration (data-analyst, chart-generator, pdf-builder), custom SKILL.md domain knowledge files, SDK lifecycle hooks, and OpenTelemetry instrumentation
• Managed Identity (UAI): Passwordless authentication across all Azure resources
• Observability: Application Insights, Log Analytics, OpenTelemetry (traces/metrics), Azure Monitor Alerts, Azure AI Foundry (evaluation)
• Azure AI Foundry: GenAIOps evaluation and monitoring — safety evaluators, groundedness checking, and evaluation pipeline via Foundry project in East US 2

✨ Features

• 🏃 Activity Tracking: Comprehensive workout and activity data collection
• 😴 Sleep Analysis: Sleep patterns, stages, and quality metrics
• ⚕️ Vitals Tracking: Weight, blood pressure, and body composition tracking with Withings data (muscle mass, bone mass, water mass, fat mass, visceral fat)
• 🍎 Food Logging: Nutrition tracking and food diary management
• 🔐 Secure Authentication: OAuth integration with Fitbit and Withings
• 📊 Data Insights: Analysis and reporting on health metrics
• 📝 Report Generation: Automated PDF reports and data visualizations via a Copilot coding agent with sub-agent specialization, custom skills, lifecycle hooks, and AI review
• 📧 Scheduled Health Summaries: Weekly, monthly, and yearly health summary reports delivered via email using Azure Communication Services
• 💬 AI Chat Agent: Natural language chat interface powered by Claude for querying and analysing health data
• 🤖 MCP Integration: AI-ready via Model Context Protocol server with 12 tools across all health domains
• �️ Tool Policy Enforcement: Per-session tool call limits, tool whitelisting, and rate limiting for AI agent safety
• 🔄 Graceful Degradation: Chat API continues operating when MCP tools are unavailable, rebuilding automatically when restored
• 💾 Conversation Persistence: Chat history stored in Cosmos DB with message limits and truncation for context management
• 🖥️ Web Dashboard: Blazor Server UI with Radzen components for browsing and visualizing health data
• 🧪 AI Safety Evaluation: Automated safety + groundedness evaluations via Azure AI Foundry with violence, self-harm, sexual content, and hate/unfairness detection
• ☁️ Cloud-Native: Fully deployed on Azure with auto-scaling
• 🚀 CI/CD: Automated testing, deployment, and infrastructure management

🛠️ Tech Stack

Backend

• .NET 10.0: Modern C# microservices
• Azure Container Apps: Serverless compute for background processing
• Azure Cosmos DB: NoSQL database for scalable data storage
• Azure App Configuration: Centralized configuration management
• Azure Key Vault: Secure secrets management
• Azure Communication Services: Email delivery for scheduled reports
• Microsoft Agent Framework: AI agent orchestration with Claude (Anthropic) as the LLM backend

Infrastructure

• Bicep: Infrastructure as Code (IaC) for Azure resources
• GitHub Actions: CI/CD pipelines and workflow automation
• Docker: Containerization for consistent environments
• Azure API Management: API gateway with JWT validation for secure managed identity authentication
• ModelContextProtocol SDK: MCP server with Streamable HTTP transport
• A2A Protocol: Agent-to-agent communication for Reporting API inter-service orchestration
• Azure AI Foundry: GenAIOps evaluation pipeline with safety evaluators

Frontend

• Blazor Server: Interactive server-rendered UI with .NET 10.0
• OpenTelemetry: Distributed tracing and metrics

Testing

• xUnit: Unit and integration testing framework
• FluentAssertions: Readable test assertions
• Moq: Mocking framework for unit tests
• Cosmos DB Emulator: Local database testing

Build Status

Component	Deployment Status	Unit Test Coverage	Integration Test Coverage
Infrastructure		N/A	N/A
Auth Fitbit Service
Auth Withings Service
Activity Service
Activity API
Sleep API
Sleep Service
Vitals API
Vitals Service
Food API
Food Service
Chat API
MCP Server
Reporting API
Reporting Service (Weekly)
Reporting Service (Monthly)
Reporting Service (Yearly)
AI Evaluation		N/A	N/A
UI			N/A

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

AI Transparency and Security

• AI-TRANSPARENCY.md — How Biotrackr uses AI, data handling practices, safety controls, and ethical considerations
• SECURITY.md — Security vulnerability reporting policy

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Author: willvelida

For questions or feedback, please open an issue on this repository.