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>
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
|
|
from typing import List
|
|
from app.core.auth import get_current_active_user, User
|
|
|
|
router = APIRouter()
|
|
|
|
@router.get("/")
|
|
async def get_keywords(current_user: User = Depends(get_current_active_user)):
|
|
"""Get all keywords"""
|
|
# TODO: Implement keyword retrieval from MongoDB
|
|
return {"keywords": [], "total": 0}
|
|
|
|
@router.post("/")
|
|
async def create_keyword(
|
|
keyword_data: dict,
|
|
current_user: User = Depends(get_current_active_user)
|
|
):
|
|
"""Create new keyword"""
|
|
# TODO: Implement keyword creation
|
|
return {"message": "Keyword created", "keyword": keyword_data}
|
|
|
|
@router.put("/{keyword_id}")
|
|
async def update_keyword(
|
|
keyword_id: str,
|
|
keyword_data: dict,
|
|
current_user: User = Depends(get_current_active_user)
|
|
):
|
|
"""Update keyword"""
|
|
# TODO: Implement keyword update
|
|
return {"message": "Keyword updated", "keyword_id": keyword_id}
|
|
|
|
@router.delete("/{keyword_id}")
|
|
async def delete_keyword(
|
|
keyword_id: str,
|
|
current_user: User = Depends(get_current_active_user)
|
|
):
|
|
"""Delete keyword"""
|
|
# TODO: Implement keyword deletion
|
|
return {"message": "Keyword deleted", "keyword_id": keyword_id}
|