""" NeuroSploit v3 - FastAPI Main Application """ import asyncio from contextlib import asynccontextmanager from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.middleware.cors import CORSMiddleware from fastapi.staticfiles import StaticFiles from fastapi.responses import FileResponse from pathlib import Path from backend.config import settings from backend.db.database import init_db, close_db from backend.api.v1 import scans, targets, prompts, reports, dashboard, vulnerabilities, settings as settings_router, agent, agent_tasks from backend.api.websocket import manager as ws_manager @asynccontextmanager async def lifespan(app: FastAPI): """Application lifespan handler""" # Startup print(f"Starting {settings.APP_NAME} v{settings.APP_VERSION}") await init_db() print("Database initialized") yield # Shutdown print("Shutting down...") await close_db() # Create FastAPI app app = FastAPI( title=settings.APP_NAME, description="AI-Powered Penetration Testing Platform", version=settings.APP_VERSION, lifespan=lifespan, docs_url="/api/docs", redoc_url="/api/redoc", openapi_url="/api/openapi.json" ) # CORS middleware app.add_middleware( CORSMiddleware, allow_origins=settings.CORS_ORIGINS, allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Include API routers app.include_router(scans.router, prefix="/api/v1/scans", tags=["Scans"]) app.include_router(targets.router, prefix="/api/v1/targets", tags=["Targets"]) app.include_router(prompts.router, prefix="/api/v1/prompts", tags=["Prompts"]) app.include_router(reports.router, prefix="/api/v1/reports", tags=["Reports"]) app.include_router(dashboard.router, prefix="/api/v1/dashboard", tags=["Dashboard"]) app.include_router(vulnerabilities.router, prefix="/api/v1/vulnerabilities", tags=["Vulnerabilities"]) app.include_router(settings_router.router, prefix="/api/v1/settings", tags=["Settings"]) app.include_router(agent.router, prefix="/api/v1/agent", tags=["AI Agent"]) app.include_router(agent_tasks.router, prefix="/api/v1/agent-tasks", tags=["Agent Tasks"]) @app.get("/api/health") async def health_check(): """Health check endpoint with LLM status""" import os # Check LLM availability anthropic_key = os.getenv("ANTHROPIC_API_KEY", "") openai_key = os.getenv("OPENAI_API_KEY", "") llm_status = "not_configured" llm_provider = None if anthropic_key and anthropic_key not in ["", "your-anthropic-api-key"]: llm_status = "configured" llm_provider = "claude" elif openai_key and openai_key not in ["", "your-openai-api-key"]: llm_status = "configured" llm_provider = "openai" return { "status": "healthy", "app": settings.APP_NAME, "version": settings.APP_VERSION, "llm": { "status": llm_status, "provider": llm_provider, "message": "AI agent ready" if llm_status == "configured" else "Set ANTHROPIC_API_KEY or OPENAI_API_KEY to enable AI features" } } @app.websocket("/ws/scan/{scan_id}") async def websocket_scan(websocket: WebSocket, scan_id: str): """WebSocket endpoint for real-time scan updates""" await ws_manager.connect(websocket, scan_id) try: while True: # Keep connection alive and handle client messages data = await websocket.receive_text() # Handle client commands (pause, resume, etc.) if data == "ping": await websocket.send_text("pong") except WebSocketDisconnect: ws_manager.disconnect(websocket, scan_id) # Serve static files (frontend) in production frontend_build = Path(__file__).parent.parent / "frontend" / "dist" if frontend_build.exists(): app.mount("/assets", StaticFiles(directory=frontend_build / "assets"), name="assets") @app.get("/{full_path:path}") async def serve_frontend(full_path: str): """Serve frontend for all non-API routes""" file_path = frontend_build / full_path if file_path.exists() and file_path.is_file(): return FileResponse(file_path) return FileResponse(frontend_build / "index.html") if __name__ == "__main__": import uvicorn uvicorn.run( "backend.main:app", host=settings.HOST, port=settings.PORT, reload=settings.DEBUG )