from fastapi import FastAPI, APIRouter, HTTPException import uuid app = FastAPI(title="Retro API", description="Retro content management system") # Routers import_router = APIRouter(prefix="/import", tags=["Import"]) analyse_router = APIRouter(prefix="/analyse", tags=["Analyse"]) export_router = APIRouter(prefix="/export", tags=["Export"]) generate_router = APIRouter(prefix="/generate", tags=["Generate"]) # Sample data storage (replace with Milvus/DB integration) data_store = {} # Import Router @import_router.post("/data") def import_data(data: dict): """ Import data (e.g., text, files, or structured data). """ data_id = str(uuid.uuid4()) data_store[data_id] = data return {"message": "Data imported successfully", "data_id": data_id} # Analyse Router @analyse_router.get("/{data_id}") def analyse_data(data_id: str): """ Analyse imported data (e.g., sentiment, keywords, or patterns). """ if data_id not in data_store: raise HTTPException(status_code=404, detail="Data not found") # Placeholder for analysis logic return { "data_id": data_id, "analysis": {"word_count": len(data_store[data_id].get("text", ""))}, } # Export Router @export_router.get("/{data_id}") def export_data(data_id: str): """ Export analysed data (e.g., as JSON, CSV, or PDF). """ if data_id not in data_store: raise HTTPException(status_code=404, detail="Data not found") return { "data_id": data_id, "content": data_store[data_id], "status": "exported", } # Generate Router @generate_router.post("/content") def generate_content(prompt: str): """ Generate new content (e.g., text, images, or summaries). """ # Placeholder for generation logic (e.g., LLM, AI model) generated = {"response": f"Generated content based on: {prompt}"} return {"message": "Content generated", "data": generated} # Include routers in the main app app.include_router(import_router) app.include_router(analyse_router) app.include_router(export_router) app.include_router(generate_router)