app.py

import streamlit as st
from modules.simulator import simulate_data
from modules.filters import apply_filters
from modules.visuals import display_dashboard, display_charts, display_map_heatmap
from modules.scheduler import get_latest_data
from datetime import datetime

# Set page config as the first Streamlit command
st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide")

# Inject CSS for blinking red dots with enhanced animation
st.markdown("""
<style>
.blinking-red {
    animation: pulse 1s infinite;
}
@keyframes pulse {
    0% { opacity: 1; transform: scale(1); }
    50% { opacity: 0.3; transform: scale(1.3); }
    100% { opacity: 1; transform: scale(1); }
}
</style>
""", unsafe_allow_html=True)

st.title("📡 Vedavathi Smart Pole Monitoring - PoC Simulator")

st.sidebar.header("🛠️ Simulation Controls")
num_poles = 50  # Fixed number of poles
st.sidebar.write(f"Number of Poles: {num_poles}")
simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True)

# Get latest data from scheduler
df, last_update = get_latest_data(num_poles, simulate_faults)
st.write(f"Last Data Update: {last_update.strftime('%Y-%m-%d %H:%M:%S')} (Updates every 6 hours)")

st.sidebar.header("📂 Filter Data")
alert_filter = st.sidebar.multiselect("Alert Level", ["Green", "Yellow", "Red"], default=["Green", "Yellow", "Red"])
cam_filter = st.sidebar.selectbox("Camera Status", ["All", "Online", "Offline"], index=0)
location_filter = st.sidebar.multiselect("Location", ["Hyderabad", "Gadwal", "Kurnool", "Bangalore"], default=["Hyderabad", "Gadwal", "Kurnool", "Bangalore"])

filtered_df = apply_filters(df, alert_filter, cam_filter, location_filter)

# Create tabs for each location
tabs = st.tabs(["Hyderabad", "Gadwal", "Kurnool", "Bangalore"])
locations = ["Hyderabad", "Gadwal", "Kurnool", "Bangalore"]

for tab, location in zip(tabs, locations):
    with tab:
        location_df = filtered_df[filtered_df["Location"] == location]
        if not location_df.empty:
            display_dashboard(location_df, location)
            st.subheader(f"📋 Pole Monitoring Table - {location}")
            st.dataframe(location_df[["PoleID", "RFID", "AlertLevel", "Anomalies", "CameraStatus", "SolarGen(kWh)", "WindGen(kWh)", "Tilt(°)", "Vibration(g)"]], use_container_width=True)
            st.subheader(f"🗺️ Alert Map - {location}")
            display_map_heatmap(location_df, location)
            st.subheader(f"📊 Energy and Sensor Charts - {location}")
            display_charts(location_df)
        else:
            st.warning(f"No poles found for {location} with the current filters.")