|
|
07088e60e9
|
feat: Implement backend core functionality for news-engine-console
Phase 1 Backend Implementation:
- ✅ MongoDB data models (Keyword, Pipeline, User, Application)
- ✅ Pydantic schemas for all models with validation
- ✅ KeywordService: Full CRUD, filtering, pagination, stats, toggle status
- ✅ PipelineService: Full CRUD, start/stop/restart, logs, config management
- ✅ Keywords API: 8 endpoints with complete functionality
- ✅ Pipelines API: 11 endpoints with complete functionality
- ✅ Updated TODO.md to reflect completion
Key Features:
- Async MongoDB operations with Motor
- Comprehensive filtering and pagination support
- Pipeline logging system
- Statistics tracking for keywords and pipelines
- Proper error handling with HTTP status codes
- Type-safe request/response models
Files Added:
- models/: 4 data models with PyObjectId support
- schemas/: 4 schema modules with Create/Update/Response patterns
- services/: KeywordService (234 lines) + PipelineService (332 lines)
Files Modified:
- api/keywords.py: 40 → 212 lines (complete implementation)
- api/pipelines.py: 25 → 300 lines (complete implementation)
- TODO.md: Updated checklist with completed items
Next Steps:
- UserService with authentication
- ApplicationService for OAuth2
- MonitoringService
- Redis integration
- Frontend implementation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
|
2025-11-04 16:24:14 +09:00 |
|
|
|
7649844023
|
feat: Initialize News Engine Console project
Create comprehensive news pipeline management and monitoring system
with backend API structure and detailed implementation roadmap.
Core Features (7):
1. Keyword Management - Pipeline keyword CRUD and control
2. Pipeline Monitoring - Processing stats and utilization metrics
3. Pipeline Control - Step-wise start/stop and scheduling
4. Logging System - Pipeline status logs and error tracking
5. User Management - User CRUD with role-based access (Admin/Editor/Viewer)
6. Application Management - OAuth2/JWT-based Application CRUD
7. System Monitoring - Service health checks and resource monitoring
Technology Stack:
- Backend: FastAPI + Motor (MongoDB async) + Redis
- Frontend: React 18 + TypeScript + Material-UI v7 (planned)
- Auth: JWT + OAuth2
- Infrastructure: Docker + Kubernetes
Project Structure:
- backend/app/api/ - 5 API routers (keywords, pipelines, users, applications, monitoring)
- backend/app/core/ - Core configurations (config, database, auth)
- backend/app/models/ - Data models (planned)
- backend/app/services/ - Business logic (planned)
- backend/app/schemas/ - Pydantic schemas (planned)
- frontend/ - React application (planned)
- k8s/ - Kubernetes manifests (planned)
Documentation:
- README.md - Project overview, current status, API endpoints, DB schema
- TODO.md - Detailed implementation plan for next sessions
Current Status:
✅ Project structure initialized
✅ Backend basic configuration (config, database, auth)
✅ API router skeletons (5 routers)
✅ Requirements and environment setup
🚧 Models, services, and schemas pending
📋 Frontend implementation pending
📋 Docker and Kubernetes deployment pending
Next Steps (See TODO.md):
1. MongoDB schema and indexes
2. Pydantic schemas with validation
3. Service layer implementation
4. Redis integration
5. Login/authentication API
6. Frontend basic setup
This provides a solid foundation for building a comprehensive
news pipeline management console system.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
|
2025-11-04 16:16:09 +09:00 |
|
