from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import gradio as gr
import numpy as np
import uvicorn

# ============================================================
#  RFT-Ω  HARMONIC  DEMONSTRATOR  —  PUBLIC  VALIDATION  API
# ============================================================

# --- Core FastAPI application ---
api = FastAPI(title="RFT-Ω Kernel Validation API",
              description="Public verification interface for RFT harmonic stability metrics.",
              version="1.0")

api.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# --- Secure public endpoints --------------------------------
@api.get("/api/ping")
def ping():
    """Lightweight heartbeat for connectivity verification."""
    return {"ok": True, "message": "RFT-Ω API online and stable"}

@api.get("/api/metrics")
def metrics():
    """Return simulated QΩ and ζ_sync readings."""
    q_omega = float(np.random.uniform(0.82, 0.89))
    z_sync  = float(np.random.uniform(0.75, 0.88))
    return {
        "QΩ": round(q_omega, 3),
        "ζ_sync": round(z_sync, 3),
        "status": "nominal"
    }

# --- Gradio dashboard (for manual inspection) ----------------
def ui_fn(choice):
    if choice == "Ping":
        r = ping()
    else:
        r = metrics()
    return f"{r}"

demo = gr.Interface(
    fn=ui_fn,
    inputs=gr.Radio(["Ping", "Metrics"], label="Select endpoint"),
    outputs="text",
    title="RFT-Ω Harmonic Demo",
    description="Endpoints live at  /api/ping  and  /api/metrics  for JSON access."
)

# --- Combine FastAPI + Gradio -------------------------------
app = gr.mount_gradio_app(api, demo, path="/")

# --- Local launch (HF auto-runs this) ------------------------
if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=7860)