| """ |
| AETERNA AI — System & UI Router |
| """ |
|
|
| import os |
| from fastapi import APIRouter |
| from fastapi.responses import HTMLResponse, FileResponse |
| import core.model_loader as ml |
|
|
| router = APIRouter(tags=["System"]) |
| frontend_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "frontend") |
|
|
| @router.get("/", response_class=HTMLResponse) |
| def serve_dashboard(): |
| """Serve the interactive dashboard UI.""" |
| html_path = os.path.join(frontend_dir, "index.html") |
| try: |
| with open(html_path, "r", encoding="utf-8") as f: |
| return HTMLResponse(content=f.read(), status_code=200) |
| except FileNotFoundError: |
| return HTMLResponse(content="<h1>Dashboard HTML not found. Please check your frontend directory.</h1>", status_code=404) |
|
|
| @router.get("/style.css") |
| def serve_style(): |
| """Serve style.css directly at root path.""" |
| style_path = os.path.join(frontend_dir, "style.css") |
| if os.path.exists(style_path): |
| return FileResponse(style_path, media_type="text/css") |
| return HTMLResponse(content="/* CSS not found */", status_code=404) |
|
|
| @router.get("/app.js") |
| def serve_app_js(): |
| """Serve app.js directly at root path.""" |
| js_path = os.path.join(frontend_dir, "app.js") |
| if os.path.exists(js_path): |
| return FileResponse(js_path, media_type="application/javascript") |
| return HTMLResponse(content="// JS not found", status_code=404) |
|
|
| @router.get("/model_actual_vs_predicted.png") |
| def serve_model_png1(): |
| img_path = os.path.join(frontend_dir, "model_actual_vs_predicted.png") |
| if os.path.exists(img_path): |
| return FileResponse(img_path, media_type="image/png") |
| return HTMLResponse(content="Image not found", status_code=404) |
|
|
| @router.get("/model_feature_importance.png") |
| def serve_model_png2(): |
| img_path = os.path.join(frontend_dir, "model_feature_importance.png") |
| if os.path.exists(img_path): |
| return FileResponse(img_path, media_type="image/png") |
| return HTMLResponse(content="Image not found", status_code=404) |
|
|
| @router.get("/status") |
| def status_check(): |
| """System health check and active model specifications.""" |
| metrics = ml.model_meta.get("metrics", {}) |
| r2_val = metrics.get("r2", 0.8845) * 100 |
| mape_val = metrics.get("mape", 6.12) |
| return { |
| "status": "Online", |
| "system_name": "Aeterna AI Waste Intelligence", |
| "official_website": "https://www.aeternaai.biz.id/", |
| "developer": "Faril Putra Pratama (@FARILtau72)", |
| "github_repository": "https://github.com/FARILtau72/Aeterna-Ai", |
| "linkedin_profile": "https://www.linkedin.com/in/faril-putra-pratama-81561a280/", |
| "model_chronos": "Chronos-T5 Tiny", |
| "model_gbr": f"AETERNA Stacking Regressor (DT+RF+GBR→Ridge) — Synthetic Benchmark: R²={r2_val:.2f}%, MAPE={mape_val:.2f}% (not real-world validation)", |
| "coverage": "44 Kecamatan DKI Jakarta", |
| "dataset": "synthetic_spatial_training_data_2024_2025.csv (SYNTHETIC SIMULATION — not real DLH observations)", |
| "calibrated": False, |
| "research_prototype": True |
| } |
|
|
