Epic: Data Source Integration #3
Description
🎯 Epic Overview
Parent Outcome: #1
Brief Description: Integrate RAT system with existing data sources including RFEs, code repositories, and architectural documentation to provide comprehensive context for ticket refinement.
📋 Scope & Requirements
Functional Requirements:
- Connect to existing RFE systems and databases
- Integrate with Git repositories for code context
- Access architectural decision records (ADRs)
Non-Functional Requirements:
- Performance: Real-time data access with <2s response times
- Security: Encrypted connections and proper authentication
- Scalability: Support multiple repository and system integrations
🏗️ Implementation Approach
Architecture: Direct API integrations with real-time access capabilities
Technology Stack: REST/GraphQL APIs, secure authentication protocols
Integration Points: Git APIs (GitHub/GitLab), RFE databases, documentation systems
📊 Stories & Tasks
This epic will be implemented through the following stories:
- Story: RFE system integration and data mapping
- Story: Git repository integration for code context
- Story: ADR documentation system integration
🧪 Testing Strategy
- Data integration tests
- API connectivity tests
✅ Definition of Done
- All stories under this epic are completed
- All target data sources successfully integrated
- Data pipeline performance meets requirements
- Security audit passed for all integrations
📝 Notes
Prioritize data security and access controls. Ensure all integrations respect existing authentication and authorization mechanisms.