app.py

import streamlit as st
import plotly.graph_objects as go
import pandas as pd
import numpy as np
import time

# --- APP CONFIG ---
st.set_page_config(page_title="OdiHome Wi-Fi Radar", layout="wide")
st.title("🛰️ OdiHome: Wi-Fi Spatial Radar")
st.markdown("Monitoring human movement via signal variance...")

# --- DATA SIMULATION (In real life, this comes from your ESP32 API) ---
def get_radar_data():
    # Simulate: [Distance, Angle (0-360), Intensity]
    # In reality, high variance = high intensity
    intensity = np.random.uniform(0, 10)
    angle = np.random.randint(0, 360)
    return angle, intensity

# --- RADAR UI ---
placeholder = st.empty()

while True:
    angle, intensity = get_radar_data()
    
    # Create Radar Chart
    fig = go.Figure()

    # Add the "Sweep" effect
    fig.add_trace(go.Scatterpolar(
        r=[0, 10], theta=[angle, angle],
        mode='lines', line=dict(color='lime', width=3),
        opacity=0.3
    ))

    # Add "Suspicious" Movement Circle
    if intensity > 7: # Threshold for "Suspicious"
        fig.add_trace(go.Scatterpolar(
            r=[intensity], theta=[angle],
            mode='markers',
            marker=dict(size=40, color='red', symbol='circle', opacity=0.6),
            name="Suspicious"
        ))

    fig.update_layout(
        template="plotly_dark",
        polar=dict(
            radialaxis=dict(visible=False, range=[0, 10]),
            angularaxis=dict(direction="clockwise", period=360)
        ),
        margin=dict(l=0, r=0, t=0, b=0),
        height=600
    )

    with placeholder.container():
        col1, col2 = st.columns([2, 1])
        with col1:
            st.plotly_chart(fig, use_container_width=True)
        with col2:
            st.metric("Occupancy Status", "1 Person Detected" if intensity > 5 else "Empty")
            st.metric("Signal Variance", f"{intensity:.2f} %")
            if intensity > 7:
                st.error("🚨 SUSPICIOUS ENTRY DETECTED")
    
    time.sleep(0.5) # Update every half second