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import streamlit as st |
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from modules.simulator import simulate_data |
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from modules.filters import apply_filters |
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from modules.visuals import display_dashboard, display_fault_alert |
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st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide") |
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st.title("π‘ Vedavathi Smart Pole Monitoring - PoC Simulator") |
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st.sidebar.header("π οΈ Simulation Controls") |
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num_poles = st.sidebar.slider("Number of Poles", min_value=5, max_value=50, value=10) |
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simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True) |
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df = simulate_data(num_poles, simulate_faults) |
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st.sidebar.header("π Filter Data") |
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alert_filter = st.sidebar.multiselect("Alert Level", ["Green", "Yellow", "Red"], default=["Green", "Yellow", "Red"]) |
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cam_filter = st.sidebar.selectbox("Camera Status", ["All", "Online", "Offline"], index=0) |
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filtered_df = apply_filters(df, alert_filter, cam_filter) |
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display_dashboard(df) |
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st.subheader("π Pole Monitoring Table") |
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st.dataframe(filtered_df, use_container_width=True) |
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fault_x = np.random.randint(0, 10) |
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fault_y = np.random.randint(0, 10) |
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if "Red" in alert_filter: |
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display_fault_alert(fault_x, fault_y) |
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