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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_heatmap | |
from modules.scheduler import get_latest_data | |
from datetime import datetime | |
st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide") | |
st.title("π‘ Vedavathi Smart Pole Monitoring - PoC Simulator") | |
st.sidebar.header("π οΈ 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("π 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) | |
display_dashboard(filtered_df) | |
st.subheader("π Pole Monitoring Table") | |
st.dataframe(filtered_df, use_container_width=True) | |
display_charts(filtered_df) | |
st.subheader("π‘οΈ Alert Heatmap by Location") | |
display_heatmap(filtered_df) |