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

# --- CONFIGURATION ---
st.set_page_config(page_title="Veritas SCADA Simulator", layout="wide")

# --- SIDEBAR (Compliance) ---
st.sidebar.image("https://img.icons8.com/color/96/000000/shield.png", width=50)
st.sidebar.header("🛡️ Veritas Sentinel")
st.sidebar.markdown("**System Status:** ✅ ONLINE")
st.sidebar.markdown("---")
st.sidebar.subheader("NIST AI RMF Controls")
st.sidebar.checkbox("Map-1.3: Asset Inventory", value=True)
st.sidebar.checkbox("Manage-2.4: Incident Response", value=True)
st.sidebar.checkbox("Gov-3.1: Human Oversight", value=True)

# --- MAIN DASHBOARD ---
st.title("🌊 Water Treatment Plant #4 - SCADA Monitor")
st.markdown("Real-time telemetry monitoring for **Cyber-Physical Anomalies**.")

# --- SIMULATION LOGIC ---
# Create placeholders for the live graph
placeholder = st.empty()
alert_box = st.empty()

# Button to trigger "Attack"
if st.button('⚠️ SIMULATE RANSOMWARE ATTACK'):
    attack_mode = True
else:
    attack_mode = False

# Generate Data
seconds = 0
data = []

# --- LIVE LOOP (Simulated) ---
# In a real app, this would run indefinitely. For the demo, we show a snapshot.
for i in range(50):
    seconds += 1
    
    # Normal Pressure is 60-80 PSI. Attack spikes to 150 PSI.
    if attack_mode and i > 25:
        pressure = np.random.randint(140, 160)
        status_color = "red"
        alert_box.error("🚨 CRITICAL ALERT: PLC CONTROL FAILURE DETECTED. MANUAL OVERRIDE REQUIRED.")
    else:
        pressure = np.random.randint(60, 80)
        status_color = "#00ff00" # Neon Green
        if not attack_mode:
            alert_box.success("System Normal. AI Governance Active.")

    data.append(pressure)
    
    # Draw Graph
    fig = go.Figure()
    fig.add_trace(go.Scatter(y=data, mode='lines+markers', line=dict(color=status_color, width=3)))
    fig.update_layout(
        title="Main Pump Discharge Pressure (PSI)",
        yaxis_range=[0, 200],
        template="plotly_dark",
        height=400
    )
    
    placeholder.plotly_chart(fig, use_container_width=True)
    time.sleep(0.1)