Feat/concept svc

[lenni108]

🚀 feat: Complete Concept Service Implementation

Overview

Implements a production-ready Concept Service microservice providing CRUD operations for event concepts, PDF generation, and JWT authentication with full stack integration.

✨ Key Features

Core Functionality

• 8 REST API Endpoints: Complete CRUD + PDF export + AI suggestion integration
• JWT Authentication: Secure user isolation with ownership verification
• PDF Generation: Text-based concept export with comprehensive details
• Data Model: Full entity structure (Concept, EventDetails, Agenda, Speakers, Pricing)

Technical Implementation

• PostgreSQL Database: Dedicated conceptdb with optimized indexing
• Security: JWT integration, CORS support, 404 for unauthorized access
• Architecture: OpenAPI-first, repository pattern, entity/DTO mapping
• Error Handling: Global exception handler with standardized responses

🗄️ Database Schema

concepts (id, title, description, status, user_id, created_at, updated_at, ...)
├── agenda_items (concept_id, time, title, type, speaker, ...)
├── speakers (concept_id, name, expertise, bio, confirmed, ...)
├── concept_tags (concept_id, tag)
└── embedded: event_details, pricing

🔌 API Endpoints

Method	Endpoint	Description
GET	/health	Service health check
GET	/api/concepts	List concepts (paginated, filtered)
POST	/api/concepts	Create concept with initial requirements
GET	/api/concepts/{id}	Get concept by ID
PUT	/api/concepts/{id}	Update concept (partial)
DELETE	/api/concepts/{id}	Soft/hard delete
GET	/api/concepts/{id}/pdf	Download PDF export
POST	/api/concepts/{id}/apply-suggestion	Apply AI suggestions (mock)

🧪 Testing Coverage

• 11 Test Classes with 90+ Test Methods
• Components Tested: Controllers, Services, Repositories, Mappers, Security, PDF generation
• Test Types: Unit, Integration, Security, Edge cases
• Configuration: H2 in-memory DB, mock security, dedicated test profiles

🚀 Production Ready

• Docker: Multi-stage build with PostgreSQL integration
• Kubernetes: Helm charts for deployment
• Monitoring: Health checks, structured logging
• Documentation: Complete README with API docs and setup instructions

🔧 Configuration

spring.application.name=concept-service
server.port=8080
spring.datasource.url=jdbc:postgresql://concept-svc-db:5432/conceptdb
# JWT secret shared with user-svc for token compatibility

📋 Implementation Highlights

• User Isolation: findByIdAndUserId() ensures ownership verification
• Audit Trail: Automatic timestamps, versioning, last-modified tracking
• Soft Delete: ARCHIVED status with optional permanent deletion
• Mock AI Integration: Ready for GenAI service integration
• Error Security: No information leakage (404 for unauthorized access)

✅ Verification

# Quick test
docker-compose up concept-svc-db concept-svc -d
curl http://localhost:8082/health

# Full test suite  
./gradlew test  # 90+ tests pass

🎯 Ready for Merge

✅ All CRUD operations working
✅ JWT authentication integrated
✅ Comprehensive test coverage
✅ Production deployment ready
✅ Complete documentation
✅ Integration verified with existing services

This PR delivers a fully functional, tested, and documented Concept Service that integrates seamlessly with the existing microservices architecture.